Subjects -> PHYSICS (Total: 857 journals)
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    - NUCLEAR PHYSICS (53 journals)
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PHYSICS (625 journals)                  1 2 3 4 | Last

Showing 1 - 200 of 741 Journals sorted alphabetically
Acta Acustica     Open Access   (Followers: 4)
Acta Mechanica     Hybrid Journal   (Followers: 22)
Acta Scientifica Naturalis     Open Access   (Followers: 2)
Advanced Composite Materials     Hybrid Journal   (Followers: 75)
Advanced Electronic Materials     Hybrid Journal   (Followers: 7)
Advanced Functional Materials     Hybrid Journal   (Followers: 71)
Advanced Materials     Hybrid Journal   (Followers: 255)
Advanced Quantum Technologies     Hybrid Journal   (Followers: 3)
Advanced Science Focus     Free   (Followers: 6)
Advanced Structural and Chemical Imaging     Open Access   (Followers: 2)
Advanced Theory and Simulations     Hybrid Journal   (Followers: 2)
Advances in Clinical Radiology     Full-text available via subscription   (Followers: 4)
Advances in Condensed Matter Physics     Open Access   (Followers: 5)
Advances in Geophysics     Full-text available via subscription   (Followers: 7)
Advances in High Energy Physics     Open Access   (Followers: 23)
Advances in Imaging and Electron Physics     Full-text available via subscription   (Followers: 4)
Advances in Materials Physics and Chemistry     Open Access   (Followers: 33)
Advances in Natural Sciences : Nanoscience and Nanotechnology     Open Access   (Followers: 28)
Advances in OptoElectronics     Open Access   (Followers: 6)
Advances In Physics     Hybrid Journal   (Followers: 29)
Advances in Physics : X     Open Access   (Followers: 4)
Advances in Physics Theories and Applications     Open Access   (Followers: 12)
Advances in Remote Sensing     Open Access   (Followers: 59)
Aggregate     Open Access   (Followers: 1)
AIP Advances     Open Access   (Followers: 7)
AIP Conference Proceedings     Full-text available via subscription   (Followers: 2)
American Journal of Condensed Matter Physics     Open Access   (Followers: 7)
American Journal of Signal Processing     Open Access   (Followers: 14)
Anales (Asociación Física Argentina)     Open Access  
Analysis and Mathematical Physics     Hybrid Journal   (Followers: 9)
Annalen der Physik     Hybrid Journal   (Followers: 5)
Annales Geophysicae (ANGEO)     Open Access   (Followers: 21)
Annales Henri Poincaré     Hybrid Journal   (Followers: 2)
Annals of Nuclear Medicine     Hybrid Journal   (Followers: 6)
Annals of Physics     Hybrid Journal   (Followers: 7)
Annals of West University of Timisoara - Physics     Open Access   (Followers: 1)
Annual Reports on NMR Spectroscopy     Full-text available via subscription   (Followers: 4)
Annual Review of Analytical Chemistry     Full-text available via subscription   (Followers: 12)
Annual Review of Condensed Matter Physics     Full-text available via subscription   (Followers: 3)
Annual Review of Materials Research     Full-text available via subscription   (Followers: 8)
APL Materials     Open Access   (Followers: 12)
Applied Composite Materials     Hybrid Journal   (Followers: 54)
Applied Mathematics and Physics     Open Access   (Followers: 2)
Applied Physics A     Hybrid Journal   (Followers: 15)
Applied Physics Frontier     Open Access   (Followers: 2)
Applied Physics Letters     Hybrid Journal   (Followers: 44)
Applied Physics Research     Open Access   (Followers: 5)
Applied Physics Reviews     Hybrid Journal   (Followers: 11)
Applied Radiation and Isotopes     Hybrid Journal   (Followers: 4)
Applied Spectroscopy     Full-text available via subscription   (Followers: 24)
Applied Spectroscopy Reviews     Hybrid Journal   (Followers: 4)
Archive for Rational Mechanics and Analysis     Hybrid Journal   (Followers: 1)
Asia Pacific Physics Newsletter     Hybrid Journal   (Followers: 1)
Asian Journal of Physical and Chemical Sciences     Open Access   (Followers: 2)
ASTRA Proceedings     Open Access   (Followers: 3)
Astronomy & Geophysics     Hybrid Journal   (Followers: 49)
Astronomy and Astrophysics Review     Hybrid Journal   (Followers: 39)
Atoms     Open Access   (Followers: 1)
Attention, Perception & Psychophysics     Full-text available via subscription   (Followers: 15)
Axioms     Open Access   (Followers: 1)
Bangladesh Journal of Medical Physics     Open Access  
Bauphysik     Hybrid Journal   (Followers: 1)
Biomaterials     Hybrid Journal   (Followers: 55)
Biomedical Imaging and Intervention Journal     Open Access   (Followers: 5)
Biophysical Reviews     Hybrid Journal   (Followers: 2)
Biophysical Reviews and Letters     Hybrid Journal   (Followers: 5)
BJR|Open     Open Access  
Boson Journal of Modern Physics     Open Access   (Followers: 9)
Brazilian Journal of Physics     Hybrid Journal  
Bulletin of Materials Science     Open Access   (Followers: 43)
Bulletin of Taras Shevchenko National University of Kyiv. Series: Physics and Mathematics     Open Access  
Bulletin of the Atomic Scientists     Hybrid Journal   (Followers: 7)
Bulletin of the Lebedev Physics Institute     Hybrid Journal  
Bulletin of the Russian Academy of Sciences: Physics     Hybrid Journal   (Followers: 1)
Caderno Brasileiro de Ensino de Física     Open Access  
Canadian Journal of Physics     Hybrid Journal   (Followers: 11)
Cell Reports Physical Science     Open Access  
Cells     Open Access   (Followers: 2)
CERN courier. International journal of high energy physics     Free   (Followers: 8)
Chemical Physics Impact     Full-text available via subscription  
ChemPhysMater     Full-text available via subscription  
Chinese Journal of Chemical Physics     Hybrid Journal   (Followers: 1)
Chinese Journal of Physics     Hybrid Journal   (Followers: 1)
Ciencia     Open Access  
Clinical Spectroscopy     Open Access   (Followers: 1)
Cogent Physics     Open Access  
Colloid Journal     Hybrid Journal   (Followers: 2)
Communications in Mathematical Physics     Hybrid Journal   (Followers: 2)
Communications in Numerical Methods in Engineering     Hybrid Journal   (Followers: 2)
Communications Materials     Open Access  
Communications Physics     Open Access  
Complex Analysis and its Synergies     Open Access   (Followers: 2)
Composites Part A : Applied Science and Manufacturing     Hybrid Journal   (Followers: 175)
Composites Part B : Engineering     Hybrid Journal   (Followers: 221)
Composites Part C : Open Access     Open Access   (Followers: 2)
Computational Astrophysics and Cosmology     Open Access   (Followers: 6)
Computational Condensed Matter     Open Access   (Followers: 1)
Computational Materials Science     Hybrid Journal   (Followers: 25)
Computational Mathematics and Mathematical Physics     Hybrid Journal   (Followers: 5)
Computational Particle Mechanics     Hybrid Journal   (Followers: 1)
Computer Physics Communications     Hybrid Journal   (Followers: 9)
Condensed Matter     Open Access   (Followers: 2)
Contemporary Physics     Hybrid Journal   (Followers: 26)
Continuum Mechanics and Thermodynamics     Hybrid Journal   (Followers: 8)
Contributions to Plasma Physics     Hybrid Journal   (Followers: 3)
Cryogenics     Hybrid Journal   (Followers: 61)
Current Applied Physics     Full-text available via subscription   (Followers: 4)
Current Science     Open Access   (Followers: 116)
Diagnostic and Interventional Imaging     Full-text available via subscription  
Diamond and Related Materials     Hybrid Journal   (Followers: 10)
Discrete and Continuous Models and Applied Computational Science     Open Access  
Doklady Physics     Hybrid Journal   (Followers: 1)
e-Boletim da Física     Open Access  
East European Journal of Physics     Open Access   (Followers: 1)
Edufisika : Jurnal Pendidikan Fisika     Open Access  
EDUSAINS     Open Access  
Egyptian Journal of Remote Sensing and Space Science     Open Access   (Followers: 25)
EJNMMI Physics     Open Access  
Emergent Scientist     Open Access  
Engineering Failure Analysis     Hybrid Journal   (Followers: 68)
Engineering Fracture Mechanics     Hybrid Journal   (Followers: 24)
Environmental Fluid Mechanics     Hybrid Journal   (Followers: 11)
EPJ Quantum Technology     Open Access   (Followers: 2)
EPJ Techniques and Instrumentation     Open Access  
EPJ Web of Conferences     Open Access   (Followers: 1)
EUREKA : Physics and Engineering     Open Access  
European Physical Journal - Applied Physics     Full-text available via subscription   (Followers: 19)
European Physical Journal C     Hybrid Journal   (Followers: 2)
Europhysics News     Open Access  
Experimental and Computational Multiphase Flow     Hybrid Journal  
Experimental Mechanics     Hybrid Journal   (Followers: 21)
Experimental Techniques     Hybrid Journal   (Followers: 51)
Exploration Geophysics     Hybrid Journal   (Followers: 4)
Few-Body Systems     Hybrid Journal   (Followers: 1)
Fire and Materials     Hybrid Journal   (Followers: 5)
FirePhysChem     Open Access  
Flexible Services and Manufacturing Journal     Hybrid Journal   (Followers: 2)
Fluctuation and Noise Letters     Hybrid Journal  
Fluid Dynamics     Hybrid Journal   (Followers: 27)
Fortschritte der Physik/Progress of Physics     Hybrid Journal  
Frontiers in Nanotechnology     Open Access   (Followers: 1)
Frontiers in Physics     Open Access   (Followers: 6)
Frontiers of Materials Science     Hybrid Journal   (Followers: 5)
Frontiers of Physics     Hybrid Journal   (Followers: 2)
Fusion Engineering and Design     Hybrid Journal   (Followers: 6)
Geochemistry, Geophysics, Geosystems     Full-text available via subscription   (Followers: 35)
Geografiska Annaler, Series A : Physical Geography     Hybrid Journal   (Followers: 4)
Geophysical Research Letters     Full-text available via subscription   (Followers: 162)
Giant     Open Access  
Glass Physics and Chemistry     Hybrid Journal   (Followers: 1)
Granular Matter     Hybrid Journal  
Graphs and Combinatorics     Hybrid Journal   (Followers: 4)
Gravitation and Cosmology     Hybrid Journal   (Followers: 6)
Heat Transfer - Asian Research     Hybrid Journal   (Followers: 11)
High Energy Density Physics     Hybrid Journal   (Followers: 3)
High Pressure Research: An International Journal     Hybrid Journal   (Followers: 3)
Himalayan Physics     Open Access   (Followers: 1)
IEEE Embedded Systems Letters     Hybrid Journal   (Followers: 60)
IEEE Journal of Quantum Electronics     Hybrid Journal   (Followers: 19)
IEEE Journal on Multiscale and Multiphysics Computational Techniques     Hybrid Journal  
IEEE Magnetics Letters     Hybrid Journal   (Followers: 7)
IEEE Nanotechnology Magazine     Hybrid Journal   (Followers: 45)
IEEE Reviews in Biomedical Engineering     Hybrid Journal   (Followers: 19)
IEEE Signal Processing Magazine     Full-text available via subscription   (Followers: 98)
IEEE Solid-State Circuits Magazine     Hybrid Journal   (Followers: 11)
IEEE Transactions on Autonomous Mental Development     Hybrid Journal   (Followers: 8)
IEEE Transactions on Biomedical Engineering     Hybrid Journal   (Followers: 35)
IEEE Transactions on Broadcasting     Hybrid Journal   (Followers: 11)
IEEE Transactions on Geoscience and Remote Sensing     Hybrid Journal   (Followers: 174)
IEEE Transactions on Haptics     Hybrid Journal   (Followers: 4)
IEEE Transactions on Industrial Electronics     Hybrid Journal   (Followers: 85)
IEEE Transactions on Industry Applications     Hybrid Journal   (Followers: 57)
IEEE Transactions on Learning Technologies     Full-text available via subscription   (Followers: 12)
IEEE Transactions on Quantum Engineering     Open Access   (Followers: 3)
IEEE Transactions on Services Computing     Hybrid Journal   (Followers: 5)
IEEE Transactions on Software Engineering     Hybrid Journal   (Followers: 84)
IEEE Women in Engineering Magazine     Hybrid Journal   (Followers: 11)
IEEE/OSA Journal of Optical Communications and Networking     Hybrid Journal   (Followers: 19)
IET Optoelectronics     Open Access   (Followers: 2)
Il Colle di Galileo     Open Access  
Image Analysis & Stereology     Open Access   (Followers: 1)
Imaging Science Journal     Hybrid Journal   (Followers: 3)
ImmunoInformatics     Open Access   (Followers: 1)
Indian Journal of Biochemistry and Biophysics (IJBB)     Open Access   (Followers: 3)
Indian Journal of Physics     Hybrid Journal   (Followers: 18)
Indian Journal of Pure & Applied Physics (IJPAP)     Open Access   (Followers: 36)
Indian Journal of Radio & Space Physics (IJRSP)     Open Access   (Followers: 49)
Infinite Dimensional Analysis, Quantum Probability and Related Topics     Hybrid Journal   (Followers: 1)
InfraMatics     Open Access  
Infrared Physics & Technology     Hybrid Journal   (Followers: 11)
Intelligent Transportation Systems Magazine, IEEE     Full-text available via subscription   (Followers: 12)
Intermetallics     Hybrid Journal   (Followers: 21)
International Applied Mechanics     Hybrid Journal   (Followers: 5)
International Heat Treatment and Surface Engineering     Hybrid Journal   (Followers: 5)
International Journal for Computational Methods in Engineering Science and Mechanics     Hybrid Journal   (Followers: 13)
International Journal for Ion Mobility Spectrometry     Hybrid Journal   (Followers: 1)
International Journal for Simulation and Multidisciplinary Design Optimization     Open Access   (Followers: 5)
International Journal of Abrasive Technology     Hybrid Journal   (Followers: 2)
International Journal of Aeroacoustics     Hybrid Journal   (Followers: 37)
International Journal of Applied Electronics in Physics & Robotics     Open Access   (Followers: 3)

        1 2 3 4 | Last

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AIP Conference Proceedings
Number of Followers: 2  
 
  Full-text available via subscription Subscription journal
ISSN (Print) 0094-243X - ISSN (Online) 1551-7616
Published by AIP Homepage  [27 journals]
  • Detecting identity based spoofing attacks in wireless network using IDs

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      Authors: B. Uma Maheswari, A. Shanthakumari, M. Sirija, J. Jayashankari, R. Kalpana
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Remote listening in assaults aresimpletodispatch,itplaysacriticalpath within the execution of remote sensor systems. In spite of the fact that the personality of a hub can be confirmed through cryptographic confirmation, routine security approaches are not continuously alluring since of theiroverhead prerequisites .the challenging errands in remote sensor arrange are recognizable proof of listening stealthily assailants, assurance of number of aggressors, localization of different enemies and killing them .the clustering approach is utilized to identifythelisteningstealthilyassailantsand localize them. This approach fails flat to anticipate the assailants precisely .to overcome this issue, this venture proposes interruption location framework (ids)to identify the listening stealthily assailants. The cluster head act, as ids to screen the behaviour of hubs in their cluster such as parcel transmission which makes a difference to recognize the getting out of hand hubs in remote sensor arrange. The recreation result clearly appears that the proposed plot recognizes the spying assailants in remote sensor organize proficiently and vigorously.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:55Z
      DOI: 10.1063/5.0074431
       
  • Data extraction in network through Rendezvous Point network

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      Authors: J. Jayashankari, R. Kalpana, B. Umamaheshwari, A. ShanthaKumari, M. Sirija
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Extraction of Data is one of the main tasks in Wireless Sensor Network. In this paper we propose a new scheme, Rendezvous Point-Data Extraction (RPDC) for normal data and emergency data in Wireless Sensor Network. In RPDC, for normal data we use mobility for data extraction, which helps to balance and bring down the energy consumption of sensor nodes by allocating the data forward task to Mobile Elements (ME). The travelling speed of ME is slow, so in order to reduce the delay RPDC use a subgroup of nodes to serve as Rendezvous Point (RP) that receives the data from nearby proximity sensor nodes and forward it to base station. Sensor nodes forward their information to proximate RP and then the ME while traversing through network extracts that data from each RP in a specific order and upload to base station. Using multiple ME help to traverse through several shortest sub tour in a large network. RPDC help to improve the scalability and it also help to prolong the network of WSN. In RPDC, for emergency data if the data is considered under an emergency event such as fire or earth quake the data is communicated fast to the base station. RPDC sends the emergency data to base station using shortest path with the help of RP, which improve data delivery ratio and reduce latency.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:55Z
      DOI: 10.1063/5.0074432
       
  • Total chromatic number of S-valued graphs

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      Authors: A. Arul Devi, V. Thiruveni, M. Chandramouleeswaran
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      In this paper we discuss the edge chromatic polynomial and the total chromatic number of S-valued graphs.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:54Z
      DOI: 10.1063/5.0074556
       
  • A study on emotional intelligence of arts and science college students in
           Southern region of Tamil Nadu

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      Authors: A. Sathya, V. P. Velmurugan
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The emotional intelligence is treated as one of the important personality part of the students. Hence the researcher has made an attempt to measure the level of emotional intelligence of students. The data required for the study was collected from both the primary and secondary sources. In addition to this, discussion with the arts and science college students also helped to know the level of emotional intelligence among arts and science college students in Southern region of Tamil Nadu. The present research is in the nature of empirical research. This research is in the nature of sample study. In this research, depending upon the nature of work to be carried out, it is decided to use Stratified Random Sampling method to collect the data. As far as the present study is concerned, the investigator has proposed to collect the data required from the arts and science college students. There are 27 Arts and Science Colleges in Tirunelveli District and 28 Arts and Science Colleges in Kanyakumari District and the sample are chosen using Stratified Random Sampling method. The Sample size for the study is 380. It is concluded that there is no association between level of emotional intelligence and age group of students. The level of emotional intelligence among the students who are in the age group of 18-20 years, 17.4% of respondents have low level of emotional intelligence, 66.5% of respondents have moderate level of emotional intelligence and 16.1% of respondents have high level of emotional intelligence.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:53Z
      DOI: 10.1063/5.0074551
       
  • Experimental investigation of diesel engine using fish wastage oil

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      Authors: S. Senthil Kumar, Chidambaranathan Bibin, K. Naresh, S. Parthiban, K. Karthikeyan, S. Akash
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The world is in a huge energy demand. Due to limited fossil fuel sources, we are unable to satisfy the increasing demand for energy. We also see there are tons of fish wastages being generated by the fish processing units which are rich in fatty acids. Extracting oil from the fish wastages and then converting into biodiesel is a very good alternate energy source and can reduce pollution. Initially the oil is extracted from the fish wastage and then converted into biodiesel by the transesterification process and then the performance characteristics, combustion characteristics and the emission characteristics are made.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:53Z
      DOI: 10.1063/5.0074309
       
  • Ameliorating voltage profile in distributed generators using particle
           swarm optimization

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      Authors: S. Venkatraj, B. Mugunthan
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Our electric power distribution system is man-made and hence it cannot be absolutely reliable. Electric power distribution networks have been using distributed generation (dg) for quite sometimes. The major advantages of dg application include loss reduction in network, improvement in voltage profile and system reliability enhancement. Evolution of optimization techniques inspired from nature for suitable sizing and location of dg’s by mathematically formulating it to minimize the issue. The quality of optimal result needs improvement through advanced soft computing methods. Particle swarm optimization (pso) is a modern meta-heuristic algorithm that addresses the dg application problem efficiently. The nature inspired pso algorithm is implemented to a standard radial distribution system for solving three trial studies having two different load schemes. Comparing the outcomewithpso simulation with a similar nature inspired optimization technique reveals that the pso is an effective tool for solving dg application problems efficiently.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:52Z
      DOI: 10.1063/5.0074202
       
  • Financial transition of women: Imperativeness for becoming financially
           empowered

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      Authors: K. Karthika, K. Antony Joseph
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Every person will experience many transitions and changes in life and it augments with increase in age. Inheritance, loss of spouse or parent, divorce and career change can be some of them. Even, a sudden change in one's financial capability can be considered as a life altering event. In some cases, a mental transformation happens to a person that can be termed as a Transition. So, strictly speaking, change is something that happens to a person even if he or she disagrees whereas transition is something that happens within the minds of people as they undergo change. It depends on demographic factors such as age, gender, education, income level, profession and so on. Apart from these factors, as far as a woman is concerned, the freedom in communication within the family cannot be ignored. These divergent factors make the subject complex to understand the factors that leads to financial empowerment of women. This paper discusses on whether women need to be transitioned to manage her household finance rationally and thereby she gets empowered in dealing with finance matters. To reveal this aspect, the family financial communication pattern, financial literacy and aspects of financial empowerment has been considered. The study reveals that financial communication pattern within the family is not enough to make a woman financially literate. It is also opined that financial confidence of women plays a key role to make her financially empowered. So, it is sensible to confirm that the transition should happen within a woman through experience to make her financially confident that leads her to be financially empowered.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:52Z
      DOI: 10.1063/5.0074686
       
  • Mask RCNN and Tesseract OCR for vehicle plate character recognition

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      Authors: A. Shanthakumari, R. Kalpana, J. Jayashankari, B. UmaMaheswari, M. Sirija
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The number of vehicles is increasing day by day in developing countries, so the necessity to identify the vehicle becomes crucial. Many computers based vehicle license plate recognition systems are being developed recently to satisfy this need. This model for vehicle plate character recognition combines the use of neural networks along with image processing techniques. The image which consists of the car which in turn contains the license plate to be recognized and character to be detected is saved into the storage and is used in the process of extraction. The license plate is located from the input image using Mask RCNN which is used to detect the object, in this instance the object is car. The car is masked by finding the ROI and that portion contains the license plate is localized. The located region with the license plate image is then preprocessed by converting the same into grayscale and the noise present in it is reduced using various threshold values on the image to obtain resultant image with connected pixels. Finally the preprocessed image is passed to the Tesseract OCR to detect the character by utilizing the datasets of the license plate models from the image and displays it to the user also saving it in a CSV file which appends the detected data as we process other images.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:52Z
      DOI: 10.1063/5.0074442
       
  • Analysis of machine learning algorithm in network threat detection

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      Authors: K. Sangeetha, P. Vishnuraja, A. Elanchiyam, M. Brindha
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The implementation of high-speed broadband has resulted in a huge rise in internet use, which has skyrocketed as more people use remote access. Despite the fact that this rise in use allows for more online activities, the rapid growth of the Internet provides attackers with a wealth of network knowledge, and a large number of network threats has a negative effect on the network’s development. Machine learning approaches are good at detecting unknown attacks. Random Forest, Decision Tree, Support Vector Machine, Logistic Regression, Gaussian Naive Bayes, and Gradient boosting Classifier are among the Supervised Machine Learning classification algorithms evaluated against the NSL-KDD dataset in this paper. Random Forest Classifier outperforms other methods in detecting attacks, according to the results of the experiments.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:51Z
      DOI: 10.1063/5.0074447
       
  • Deep discover: Deep learning models for detecting distributed denial of
           service (DDOS) attacks

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      Authors: S. Malliga, S. V. Kogilavani, R. Sowmya
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      A Distributed Denial of Service (DDoS) attack occurs when an attacker or group of attackers tries to prevent a service from being provided to legitimate users. A DoS attack is performed by a single system, while a DDoS attack is carried out by several systems.DDoS attacks can be launched against different OSI layers. In recent years, Deep learning has played a major role in the development of intrusion detection solutions. The main focus of this work is to detect and classify the DDoSattacksin application, network and transport layersof OSI model by using deep learning models. We designed two models based on Deep Neural Network (DNN) and Long Short Term Memory (LSTM). In order to evaluate the performance of the proposed models, two data sets namely CICIDS2017 and CICDDoS2019 have been used. The CICIDS2017 data set contains traces of application layer DDoS attack and CICDDoS2019 data set contains the network and transport layer DDoSattacks. For CICIDS2017 data set, DNN and LSTM achieved an overall accuracy of 99.8% and 99.46% respectively. These models obtained an accuracy of 99.32% and 99.4% for CICDDoS2019 data set. We also compared the proposed models’ efficiency to that of a few other models with higher accuracy and found that the proposed models have better accuracy with fewer epochs.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:51Z
      DOI: 10.1063/5.0074445
       
  • Overseas business investment is a push or pull factor - An investigative
           study

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      Authors: Vijaya Kumar Thota, S. Dhanraj
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The study objective was to investigate whether the Push factor or Pull factor contributing to overseas business investment. For the study data were collected from 108. The sample considered for the study were companies that recently internationalized their business a year before. The sample was selected from India’s export directory. The samples were chosen using a simple random sampling method. The data were collected using a structured questionnaire through an online survey. Through the result obtained it could be understood that Competition in the domestic market, Less Profit due to competition, and Less demand in the domestic market are the major push factor for companies to invest overseas. Further, it is found that Scope for High Demand in the international market, Conversion of National level company to International Brand, Market Size and High-Profit Marginis the major pull factor for overseas investment. Overall, it was understood that; Scope for High Demand in the international market, Competition in the Domestic market, less profit due to competition in domestic are the major reason for overseas investment and internationalization of business. Hereby, it can be concluded that it is a push factor that is majorly contributing to overseas investment.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:50Z
      DOI: 10.1063/5.0074448
       
  • A smart rail track inspection system

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      Authors: G. Vijayalakshmi, J. Gayathri, K. K. Senthilkumar, G. Kalanandhini, A. R. Aravind
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      During the past years, there is an increased derailment scenario due to track faults. To resolve this issue, an intelligent visualization-built rail inspection system, which is automatic and real time has been developed. The system strongly notices important rail components like draws, tie plates and nuts and bars which helps in rail fastener with more accurateness and effectiveness. In current years, the railway transportation system developed as one of the chief resources of transport. Hence, the safety in the railway line is of more important. However, due to the expected multiple breaks of elastic rail clips in a fixed rail, accidents may rise when a train is permitted through the track. To attain this goal, a group of image analytics have been developed first and then planned an original universal optimized outline to associate evidence from numerous television camera, sensors and remoteness gauging device to further progress the detection routine. Complete track analyses have been ensured and provide clearance to the train motion only when the track health is perfect. This paper aims at completely reducing the human interference. Quantitative analysis has been completed on a big image set of data taken with diverse track and light circumstances and on a real–time field test. The fist system used to handle and resolve both module and omission finding and exception handling problems.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:50Z
      DOI: 10.1063/5.0074206
       
  • Skin disease detection using artificial intelligence

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      Authors: S. Kuzhaloli, L. M. Varalakshmi, Kamal Gulati, Makarand Upadhyaya, Narinder Kumar Bhasin, Vijayakumar Peroumal
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Artificial intelligence (AI) algorithms for automated classification of skin diseases are available to the consumer market. Studies of their diagnostic accuracy are rare. We assessed the diagnostic accuracy of an open-access AI application for recognition of skin diseases. The AI algorithm classified the images giving 5 differential diagnoses, which were then compared to the diagnoses made clinically by the dermatologists and/or histological. The level of diagnostic accuracy varied considerably for diagnostic groups. The online application demonstrated low diagnostic accuracy compared to a dermatologist evaluation and needs further development. Input signs have been developed to classify the disorder. With the aid of experts in the area, we received symptoms of 10 skin diseases. The symptom data were trained by various classifiers. We observed that high quality AI-based support for clinical decision making enhances the accurate diagnosis of either AI or doctors alone and that less skilled physicians are better served by AI.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:49Z
      DOI: 10.1063/5.0074207
       
  • A review on tribological behaviour of aluminium metal matrix composites

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      Authors: R. Ashok Kumar, M. S. Sujithkumar, P. Vikram, S. Arunkumar, S. Tamil Selvan, G. Sai Sharan
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The swat is too precise the tribological properties of Metal Matrix Composites (MMCs). Stir casting is a method castoff for the fabrication of MMCs. Because of their effortlessness, well-established process, lower production costs, and large-scale production competence, stir casting is one of the exceptional processing methods to produce aluminum metal matrix composites (AMMCs). Based on the literature swot, particularly on the tribological properties and manufacturing of AMMCs, the bottom pouring method is endorsed for the production of AMMCs. Enhancing the surface possessions and maintaining bulk attributes are noteworthy stipulations for wear resistance applications. The amalgamation of reinforcement particles intensifies the mechanical strength and wear performance of AMMCs. This paper also discusses the different combinations of wear parameters like load, sliding velocity, sliding distance, and reinforcement orientation.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:48Z
      DOI: 10.1063/5.0079693
       
  • Impact of internationalization on brand building and business expansion

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      Authors: M. Amthul Thawab, S. M. Zubaidunisa, I. Yasar Shariff
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The study objective was to identify whether the internationalization of business helps in brand building and business expansion. For the study descriptive research design was adopted. The data were collected from 68 exporters who have newly internationalized their business in current year. The data was collected using questionnaire through simple random sampling technique. Through the result obtained from the analysis it was understood that the respondents agree that internationalization is best strategy also internationalization help in brand building. Further, they also strongly agree that internalization will help in business expansion. Further it was found that, there is an impact of internationalization of business on brand building and business expansion, The regression equation is given by; Internationalization of business=0.195+(0.843× Brand Building)+(0.093× Business Expansion). Also, it can be perceived that the internationalization of business is a good strategy, it helps in business expansion initially later promotes brand building.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:48Z
      DOI: 10.1063/5.0074441
       
  • A study on OCB and its dimensions

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      Authors: K. Ramalakshmi, K. Ravindran
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Ocb is a time period which covers whatever high quality & optimistic which employees perform out of their own personal opinion, that support the colleagues and benefit organization. Practically workman who often interact in ocb won’t continually turn up to be pinnacle performers, however they may be those who have been acknowledged as ‘pass the extra effort’ or ‘move beyond & past’ the basic inputs needed to deliver a simply high-quality activity. Principle & study on ocb have perceived ocb as a section of suitable behaviors which results in firm efficiency. To date ocb has acknowledged to be a pioneer of firm’s overall conduct. Ocb has been crucial factors to enable firms realize their targets of survival and sustenance. The current study explores the concept and its associated importance over different sectors of business in the country. Also, the dimensions are discussed at length to have an in-depth analysis of the crucial element followed by the literature expressed as an accumulation of related experts over the concept and analysis proving the same.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:47Z
      DOI: 10.1063/5.0074410
       
  • A review on prediction of cardiac arrest analysis in early stage

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      Authors: Chandra Mukherjee, J. Thamil Selvi, M. Ramesh, Lims Thomas, M. Anusuya, Vijay Ramkisan Lakwal
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Cardiac arrest occurs as the heart muscle fails to contract properly, resulting in a sudden loss of blood supply. The ECG signal is one of the techniques for detecting cardiac electrical activity and is used to investigate heart block. In this paper different standardized work for early detection of cardiac arrest is described. Stages of ECG signal pre-processing involves denoised using digital filtering algorithms and extracting different features from clean ECG predicting cardiac arrest in early stage. Several other body parameters were also considered for this purpose. In this work denoising validation parameters were compared for showing effectiveness of the filtering algorithm and several body parameters and its implication on cardiac arrest was described.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:47Z
      DOI: 10.1063/5.0074439
       
  • Performance evaluation sectoral indices during Covid 19 pandemic period. A
           study on NSE India

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      Authors: Muhammed K. K. Safwan
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Stock exchanges are major news breakers nowadays its importance is being increased day-by-day. Any economic crisis will have direct impact on performance of stock exchanges. The recent pandemic covid 19 has affected the performance of stock markets worldwide. The Indian stock exchanged ere in a drastic development in recent past. And Indian stock exchange have very bright future perspective as a fast-developing country. NSE is the biggest stock exchange in India in terms of volume. Nifty50 is benchmark index of NSE. There are around 13 sectoral indices in NSE which reflects the performance of stocks such sectors. So, it is important to know the performance of sectoral indices especially during crisis periods as these have significant influence on performance of benchmark index. This study analyses performance of sectoral indices in NSE during the Covid 19 pandemic period using risk adjusted return measures. The pharma sector clearly outperformed all sectors in all measures of performances. The sectors like realty media and financial service have ill performed. The performance of financial services sector has severely impacted the performance fniftyt50 as the financial service sector comprises 33% of nifty 50. Financial services, oil and gas and IT sectors have higher significant influence on bench mark index.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:46Z
      DOI: 10.1063/5.0074532
       
  • Design of ATV hub and comparative analysis from a material’s
           perspective

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      Authors: Vikas Kumar, Rayala Yoganadha Sai, Dandu Prudhvi Raj, Pokuri Vikas Reddy
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      In automobile industry it is essential to produce a light weight wheel hub in order to increase the vehicle performance without compromising in strength and safety. There are lots of forces acting during braking, acceleration and bump conditions are also applied directly during dynamic condition. The present paper discusses the important aspects of designing and Analysis of wheel hub of an All-terrain vehicle. The materials used for wheel hub are mainly mild steel, cast iron, aluminum alloys in this we are using aero graded Aluminum 7075 T6 material to reduce the overall weight of the wheel assembly. The characteristics of Aluminum 7075 are high strength, resistance to high stress and strains. This material is stronger than many types of mild steel. In this paper we are comparing the results of mild steel and Aluminum 7075 and have done the FEA analysis. The result has shown a relatively close proximity with the mild steel and using aluminum 7075-T6, the overall weight of the hub has decreased to 3 times as comparison to mild steel.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:46Z
      DOI: 10.1063/5.0074535
       
  • Fashion e-commerce using CMS

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      Authors: Vaibhav Aggarwal, Deeksha, Shreya Soni, Kanishka Sharma, Vaishali
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      E-commerce websites are widely used as they are becoming more reliable and also provide easier ways to purchase goods with many numbers of features. There is a huge revolution which has arrived in the purchasing and selling world through E-Commerce. Online shopping, auctions, internet banking, payment gateways and online ticketing are possible with e-commerce. CMS is user-friendly software. It helps to create, manage, and modify the contents in the website without the prior technical knowledge. Content can be updated on a regular basis without changing the actual code. There are many Content Management System (CMS) and e-commerce platforms like Woo-Commerce available due to the growing demand of online selling and purchasing. The aim of this research paper is to have clarity among the various CMSs available with their pros and cons followed by the explanation of our CMS based website. This research paper discusses the issue that businesses face with the conventional website model. The results reveal that respondents supported the notion of enhancing the capacity of content management.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:45Z
      DOI: 10.1063/5.0074899
       
  • Experimental and theoretical determination of compressive strength of
           light gauge steel stub column

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      Authors: P. Vijayaraghavan, T. Vinithrabanu, T. Vijay Raj, G. Ramalinga, V. Janakiraman
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Cold formed steel structural members are light gauge members manufacturing from a steel sheet of uniform thickness in a cold state. Due to a combination of high strength to weight ratio, stiffness, recyclability, and low cost, it is widely used in building construction all over the world. We use five sections in our experimental investigation report: simple section, channel section inner lipped, channel section outer lipped, channel section intermediate stiffener and inner lipped, and channel section intermediate stiffener and intermediate stiffener. The results forms the different types of buckling namely global buckling, local buckling and distortional buckling in different section. We adopt the American iron and steel institute’s North American specification for the design of cold formed steel structural members and also analyze the cold formed steel member through Cornel University Finite Strip Method (CUFSM) software.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:45Z
      DOI: 10.1063/5.0074414
       
  • A comprehensive study on work-life balances on ecological MAM power
           management

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      Authors: M. Suba, S. B. Inayath Ahamed
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      this article suggests that eco-responsible manpower administration only attains its maximum capacity exclusively by thinking about workers in their either part as makers and customers. Workers gain various types of conduct not solely in the official environment, yet in addition to personal life. Seeing as complementary collaborations between official essence and personal essence happen, “eco-responsibility equilibrium between fun and serious stuff idea” is recommended to encourage harmless to the ecosystem stance in each of two living areas. The conception creates prospects towards climate, before now additionally on the route toward the association as well as their executives by extending, for specimen, job stimulant, and occupation sustainment. Notwithstanding hardships like workers ‘require to allow the communal consequence on personal essence must be looked after.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:44Z
      DOI: 10.1063/5.0074416
       
  • Local train ticketing system using web services

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      Authors: Raghavan Sheeja, P. Umaeswari, Chidambaranathan Bibin, R. Nishanth, S. Hari Chandana
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      India's population is increasing daily, and Most common people are counting on the locals of the railroad to travel to their destinations. One among the most critical challenges within the current ticketing facility is the queueing system of community railway tickets. Customers are required to expect an extended period to receive their native train tickets daily, which becomes a costly method. Thus, we tend to introduce an electronic ticket known as M – Ticket application. The mobile application collects the E-Ticket, and the passengers can carry the ticket as pdf during their travel. A user account is created with user-id and password for Authentication. To book user's price tag mistreatment, the application has to enter the station's supply location and alternative details. The generated ticket is in the form of PDF with the Quick Response Code (QR-code). The price tag attributes are the ticket-id, the name and gender details, the user's DOB, the date, and the supply station's name. The Traveling Ticket Checker can check the ticket-id in the mobile application to check whether the user ticket is valid or invalid. It allows the user to book their tickets in the ticket-counter area only.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:42Z
      DOI: 10.1063/5.0074301
       
  • Artificial intelligence based algorithm to support disable person

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      Authors: P. Vijayakumar, T. Yuvaraj, C. A. Sathiya Moorthy, Makarand Upadhyaya, Pankaj Dadheech, Pravin R. Kshirsagar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The paper explores how the daily lives of people with vision impairments are changed by artificial intelligence. They suffer a great deal in circumstances they are not aware of. When they go alone in town, people are worried about their safety. The overall aim of the system is to provide low-cost navigation assistance to blind people that give a sense of artificial vision by informing people of the artificial intelligence environment of objects. An ultrasound sensor is used to detect the distance between objects to the blind person to guide voice and vibration, which can be heard and felt by the blind person. The software can help identify objects in the world by using the voice command, conduct text analysis and recognize the document's text on paper. It can be an important way for blind people to communicate and encourage blind people to live independently.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:42Z
      DOI: 10.1063/5.0074090
       
  • Classification and prediction of cancer using data mining

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      Authors: Raghavan Sheeja, P. Umaeswari, Chidambaranathan Bibin, R. Nishanth, K. G. Ashok
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Modernizing the progress of the healthcare sector towards processing massive health records and accessing them for analysis and putting the complexities into action will greatly increase. Due to the rising unstructured complexity of Big Data, it is important to structure and place emphasis on its scale in nominal value for a potential solution. Cancer is one of the important problems today, diagnosing most cancers in until now stage is nevertheless challenging for doctors [7]. Identification of genetic and environmental factors is very important in creating novel strategies to become aware of and forestall cancer. The approach anticipated will help in scientific diagnosis and information researchers to improve most cost nice and user pleasant systems, processes and tactics for clinicians. Data mining is the use of automatic data evaluation strategies to discover before undetected relationships amongst information items Clustering is a foremost assignment of explorative records mining, and a frequent technique for statistical data evaluation used in many fields. We suggest the weka tool for applying exclusive clustering algorithms and predict a useful result that will be very helpful for the prediction of cancer. This will assist the clinical practitioners to deal with the most cancers sufferers in the proper way.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:41Z
      DOI: 10.1063/5.0074302
       
  • Retrieval of information from remote mobile phone using messages

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      Authors: R. Kalpana, B. Umamaheswari, A. Shanthakumari, M. Sirija, Jayashankari
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Mobile phone has become essential for our day to day life activities. MS based remote mobile access system is a mobile phone based communication application which helps to access a mobile phone, when it is in remote location. In such situations, the mobile users are unaware of calls and messages received by their mobile. They are also unable to call or inform other person, since they don't have anyone's number. This can be solved by sending a message to the user's mobile with the code and the password of the application. When the user needs to know his last call logs such as missed calls, received calls, dialed calls or if he wants to know the unread messages or if he wants to know the contact details of any person or if he wants to divert all his calls, a message has to be sent to the user's mobile with code and password. When the user's mobile receives the message, a response message is created from along with the necessary information like call logs or contact details or unread messages. In case of call divert, a notification will be sent as a response message to the commandant mobile. The commandant mobile is the one which transmit the message to the user mobile. Additionally, profile modes of the user mobile can also be changed from general to silent and vice versa by the same procedure. Here, notification will be sent as a response message to inform about the activation of the profile modes. It occupies 1.90 MB of mobile storage and consumes lesser battery power.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:40Z
      DOI: 10.1063/5.0074425
       
  • Semiring valued semigraph

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      Authors: M. Chandramouleeswaran, S. Nivetha, P. Muralikrishna
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      In this paper we introduce a new concept called semigraphs, combining the theory of semigraphs introduced by E. Sampath Kumar [2] and the theory of semiring, analogus to the theory of S-valued graphs introduced in [4], thus giving a free hand to researchers for further study.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:40Z
      DOI: 10.1063/5.0074546
       
  • Experimental investigation of Di diesel engine fuelled with animal waste
           oil

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      Authors: S. Senthil Kumar, Chidambaranathan Bibin, S. Ganesan, M. Kannan, K. Krishna Kumar, K. Krishna Prasad
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The performance of animal oil which is extracted from the chicken waste is experimentally investigated in an order to further treated in a trans-etherification process to get a biodiesel the viscosity of the extracted oil is known before converting into a biodiesel. The waste in the sense it will be a head, feathers, intestine and skin of a chicken. When the diesel fuel is compared to a biodiesel resulted in a reduction in a brake torque and increase in brake specific fuel consumption. In the Trans etherification process methanol act as a reagent and KOH as a catalyst. The reaction process tends to run for 90 minutes at 60 C in order to stir the combination to take up a reaction. It also another set of an idea tends to check an effect of tallow and crude soybean oil with or without an L-Carnitine on boiler chicken with the help of a soybean oil and with addition of a broiler chicken. The alkaline trans-etherification of chicken oil with reagent and catalyst gives a high-quality biodiesel in a good conversion rate. The process is an economically possible by a filtering or separating a methanol and glycerine where the by- products are formed. Animal wastes are recently trended in order to alternate for vegetable oils in the production of biodiesel.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:39Z
      DOI: 10.1063/5.0074305
       
  • Need for metro rail system & Its planning using MSP

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      Authors: P. Shanmugan, K. Kesavan, C. Senthilkumar, Y. Shantharam, C. T. Sivakaumar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Rail-based Mass Rapid Transit System are has been widely accepted mode of transportation system as a solution for traffic jam and environmental pollution associated problems which faced by all of the metro cities and developing countries in the word. Metro rail projects are escalating in a good manner in India to avoid the traffic congestions and to provide the comfort riding to the publics. The metro rails are being used in cities like New Delhi, Chennai, Mumbai and Kolkata and is also under the expansion and up gradation of rail projects are carried out for the better operations. Cities like Bangalore, Chennai and Hyderabad is under the constructive works. Planning and scheduling of the construction activities are the prime task, for this project management plays a vital role to accomplish the task in a smooth manner. The project management model is not only satisfied the completion of the project and also to finish the project in stipulated time, greater efficiency and economy. In this project work the study has been carried out for need of metro rail system and utilization of Microsoft project software for handling and managing the construction activities.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:39Z
      DOI: 10.1063/5.0076283
       
  • Application of revolutionary waste plastic admixture in road potholes

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      Authors: S. Senthil Kumar, Chidambaranathan Bibin, K. Akash, G. P. Parthipan
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Plastics are increasing continuously, especially in the form of throw away holds drinking water bottles, packaging the rapid increase in the use of plastic materials in the recent years led to the accumulation of extreme amounts of plastic waste. Thermoplastics as well as materials that derived from these are the type of plastic most used and consequently create environmental problems. Landfill, incineration and recycling remains the primary options for solid waste management. One critical determinant of the acceptability of these options is the different health risks associated with each. The plastic waste that burnt and dumped in landfill sites can be recycled and used for different purpose. This includes the use of waste plastic in construction of asphalt road. By recycling waste plastic, it is possible to protect the environment from contamination. Using waste plastic in asphalt road construction as an aggregate binder is one of the recent plastic waste approach. This will help us to avoid the environmental pollution from open-air burning and landfill of plastic waste.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:38Z
      DOI: 10.1063/5.0074306
       
  • Some properties of line graphs

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      Authors: V. Mythili, D. Little Femilin Jana, S. Jayasudha, C. Vennila, S. Rajarajeswari
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The concept of the line graphs of a given graph is so natural that it has been independently discovered. The line graph method is a very important technique for constructing a larger graph from a given graph. Many desirable properties can be obtained from the line graph constructed from its original graph. Here in this paper some properties of fuzzy line graphs are discussed.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:37Z
      DOI: 10.1063/5.0075073
       
  • Multi-attribute biodiesel process parameter optimization using GRA and PSI

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      Authors: Vikas Kumar, V. Sanjeev Kumar, S. Harikrishna, Manish Kumar Roy
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Biodiesel is a promising alternative for fossil fuels that can not only help in reducing pollution but can also provide livelihood to local farmers. The production of biodiesel from its sources is a relatively simple process but involves a number of process parameters. Optimal combination of these process parameters is essential to obtain a high yield or conversion rate. The selection of appropriate process parameters becomes a trickier job when multiple conflicting criteria are considered together. In this paper, a multi-criteria decision-making approach is used for selecting the optimal combination of biodiesel production process parameters such that energy, reactant consumption and waste generation is decreased. The reaction temperature, catalyst amount and ratio of methanol to oil are considered as the process parameters.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:36Z
      DOI: 10.1063/5.0074538
       
  • A study on issues and preventive measures taken to control Covid-19

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      Authors: N. Deepa, Asmat Parveen, Anjum Khurshid, M. Ramachandran, C. Sathiyaraj, C. Vimala
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      COVID-19 different individuals different ways affects Most of the affected and disease being admitted to hospital. headache, or taste Loss of smell, rash on the skin, fingers or toes discoloration COVID-19 virus Most infected People mild and moderate respiratory illness experience special treatment need without recover Elderly and heart problems, Diabetes, chronic respiratory disease and For those with medical problems such as cancer The chances of getting a serious illness are high. COVID-19 virus, it causes disease it how spreads find out. By washing your hands without touching your face or by frequent use of alcohol-based scrubs protect yourself and others from infection. The COVID-19 virus is transmitted saliva or comes out the affected person when coughing or sneezing Nose, so you need to observe breathing habits as well. Be informed: Protect yourself: Public consultation, Myth Busters, Questions and Answers, situational reports. The Union Health Ministry clarified on Saturday that its procurement price for the vaccines Coaxing and Covishield remains the same at 150 a dose and it will continue to provide them free to States. “It is clarified that the Government's procurement price for both Covid-19 vaccines remains 150 per dose. Kobayashi noted that experts still do not know whether a person who has been vaccinated can spread the virus. U.S. Department of Disease Control and Prevention Centers "keep an eye" on COVID-19 cases in fully vaccinated people. The vaccines can cause tiredness achiness, and fever, side effects, vast majority a only day or two and serious or dangerous Side effects actually working vaccine normal signs They are different from some of the symptoms that people experience when they are vaccinated, such as fatigue, sore throat or joint pain. These types of things are common, they appear soon after vaccination and usually go away after three to five days.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:36Z
      DOI: 10.1063/5.0075078
       
  • An efficient and smart IoT based pisciculture for developing countries

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      Authors: P. Veeralakshmi, S. Sowmya, K. Nattar Kannan, S. Anbu, G. Ayyappan
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Pisciculture has not yet been plenarily explored as a strategy to minimize penuriousness levels despite its potential to amend livelihoods in rural communities. Low productivity, high farm-level losses, prohibitive establishment costs and poor monitoring are the problems in the current fish farming system. To overcome this, we have proposed an IoT based embedded system for automatic monitoring and control of fish farming. Our system consists of different sensors that measure essential quality factors of water like PH level, temperature, hardness, turbidity and water level as well as an arduino board that processes the data and sends control to the relay. By using this setup, the entire process of fish farming can be automated and it will also be easier to monitor the fish farming remotely from other location.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:35Z
      DOI: 10.1063/5.0074418
       
  • Abrasive wear and corrosion behavior of hybrid AMMCS reinforced with solid
           lubricant and ceramic particulates

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      Authors: Motilal Lakavat, Amiya Bhaumik, B. Deepanraj, N. Senthilkumar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Experimental investigation on the abrasive wear performance and corrosion behavior of hybrid aluminium metal matrix composites (HAMMCs) reinforced with different weight fractions of silicon carbide (SiC) and boron carbide (B4C) (2.5, 5 and 7.5%) with a constant weight fraction of 2% graphite (Gr) is carried out. HAMMCs were fabricated through cost effective stir casting technique and the specimens are tested as per ASTM standards. Pin-on-Disc (PoD) apparatus is utilized for evaluating the abrasive wear performance, whereas electrochemical impedance spectroscopy (EIS) is used for performing corrosion studies on the cast composites. Wear loss and coefficient of friction (CoF) are determined from wear analysis. Corrosion current (Icorr), corrosion potential (Ecorr) and corrosion rates are measured from Tafel plot drawn between over potential and logarithmic current density. Corrosion resistance decreases with an increase in the reinforcement of B4Cs, due to the galvanic couples form between the Al matrix and B4C particles. Pitting corrosion is identified as the corrosion mechanism.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:34Z
      DOI: 10.1063/5.0074233
       
  • Industrial automation using IoT

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      Authors: R. Arun Sekar, T. Prabakaran, A. Sudhakar, R. Senthil Kumar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      To design an Industrial Monitoring-IOT base system that automatically updates the details and control by using GSM-IOT communication network. Now a days we have to check the industrial machine working conditions, oil level, temperature level, voltage level, load level, motor speed, etc. Our work helps to provide the information about industrial machine automatically by using GSM-IOT. The above parameters are set and reset by using mobile phone. This will help to avoid the machine damage. In this paper Motor rpm sensor sense the speed of the motor. If the motor speed is exceed the limited level sensor send the information to the micro controller. Oil level sensor sense the oil level in the oil tank. Oil level is very low sensor send the information to the controller. Temperature sensor sense the heat of the machine, if any unwanted heat is generated temperature sensor send the information to the controller. Oil leakage sensor sense if any oil leakage occurs and send that information to the controller. Motor driver drive the DC motor. LCD display used to display the monitored information. For 3 phase motor Vibration sensor used to sense the vibration of the machine. 3-phase angle sensing is used to sense the mismatching connection. Coolant fan used for reduce the temperature. If the temperature is high coolant fan will on. Voltage sensing used to sense the voltage level and load sensing used to sense the load level whether load is high or not. Both are selected by keypad or by using GSM device. Micro-controller collects all the information and send that information to the destination throughGSM-IOT.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:33Z
      DOI: 10.1063/5.0074113
       
  • Experimental and numerical analysis of cooling tower efficiency using
           forced draft

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      Authors: T. Surulivelrajan, S. Kathiresan, G. Sathi, B. Narendhiran, M. Selvakumar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The present work is to design a cooling tower system which is used to reduce the temperature of the hot water which comes out from the thermal power plant. But in our work we certainly introduce an Electric fan which is used to reduce the temperature of the hot water by forcing air into the cooling tower to maintain the temperature of the water which comes out from the cooling tower and again been passed into the thermal power plant. The temperature of the incoming water and the out coming water from the cooling tower is measured using digital thermometer and then the velocity & speed of the air, inlet and outlet air temperature is being measured by Anemometer and “zig zag” design is included for the more efficient cooling.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:33Z
      DOI: 10.1063/5.0074354
       
  • A study on passengers’ satisfaction levels on upcoming airport
           cities

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      Authors: Nalla Ramakrishna, Harish Babu
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      customer’s satisfaction levels will be affected by a number of factors. In the result of multivariate model most of the variables are correlated. Dimension reduction technique refers a large number of correlated variables into fewer factors. In general, one of the most widely used dimension reduction techniques is factor analysis, in which large number of variables are reduced to a fewer number of variables using principal component analysis, an unsupervised algorithm that focuses on maximizing data point variation while ignoring cases and categories, resulting in the loss of some data.it functions as a classifier and a model for predicting customer satisfaction. The main goal of the paper is to use discriminate analysis to identify passenger satisfaction levels on factors related to the modes of transportation they use, classify them into the appropriate groups based on the cases, and build a predictive satisfaction model.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:32Z
      DOI: 10.1063/5.0074597
       
  • A study on various fire retardant additives used for fire reinforced
           polymeric composites

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      Authors: Vishal Fegade, Krishnakumar Gupta, M. Ramachandran, S. Madhu, C. Sathiyaraj, R. Kurinji
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The growing environmental awareness and natural resources scarcity various fully biodegradable polymer systems development and utilization initiates poly lactic acid (PLA) and copolymers biodegradable polymer, extensive attention as they biodegradability, numerous renewable sources, and excellent mechanical and thermal properties like advantages other polyester resins like PLA inherent chemical composition and molecular structures due to very poor fire resistance the aviation and electrical industry PLAs widespread use low thermal resistance, combustion and drip hampered flame retardant modification essential Combustion-type flame retardants polymer by physical means incorporated materials production convenient industry widely in used. Flame retardants certain chemical compounds polymers paralytic reactions slow or inhibit or combustion oxidative reactions They mainly halogen, phosphorus and metal hydroxides containing compounds Halogen flame retardant drawbacks metal components highlight ability combustion during hydrogen formed toxicity and some governments or organizations halogen controlled flame retardants use restrict proposed halogen-free flame-retardant additives indomethacin flame retardant (IFR) considerable attention and polypropylene (PP) and polyethylene (PE) such as polymers used their low smoke, no toxicity, and halogen absence benefits. and corrosive gas production In general an IFR system three basic components char-forming agent carbonization catalyst, and a blowing agent combustion during IFR multi-cellular structure combustible layer a physical that acts barrier gas and compressed between heat and mass transfer reducing reducing the burning melt in thermoplastic flame-retardant conversion is a particular problem. Drops melting burning surface area increase fire intensity increase faster fire spread viscosity Melting coal formation strong impact PLA, polyethylene terephthalate (PET), and poly butylenes succinct (PBS) like Linear polymers branched or thermo set polymers compared low melt viscosity burning test during serious melt dripping layered silicates thermal stability improve reduce filler concentration flammability low investigations found.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:32Z
      DOI: 10.1063/5.0074235
       
  • Computational flow dynamics analysis of carburetor for different throttle
           angle

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      Authors: V. Balaji, R. Vijai, N. Rajesh Kumar, G. Ayiswarya
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Carburetor is the heart of petrol engine which provides mixture of air and fuel in right proportion and in right time. The factors that influence the consumption of fuel in SI engine are carburetor design. In carburetor there is a venture tube which creates the pressure drop. Now-a-days Liquefied Petroleum Gas and Compressed Natural Gas are used as alternate fuels because of their eco-friendliness. The design of carburetor is very important to determine the fuel consumption in SI engines. With analytical software it is possible to design the carburetor with higher fuel efficiency and to achieve better mixture of air and fuel at the inlet of SI engines. This paper is about the design of simple carburetor by the results obtained from the Computational Flow Dynamics analysis to find velocity and pressure drop for valve angles of throttle such as 0°, 30°, 60° and 90°.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:31Z
      DOI: 10.1063/5.0074236
       
  • Robust copyright protection scheme for digital images using DCT and
           compressed sensing techniques

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      Authors: Geetamma Tummalapalli, D. Yuvaraj, S. Jaganathan, V. K. Sheela
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The objective of this paper is to implement the robust image watermarking based on compressed sensing technique for copyright protection. This paper proposes an assimilation of watermarking technique into compressed sensing systems. Digital image watermarked signal is created by embedding the definite copyright data in host image signal. Compressive sensing is a recently developed topic in the arena of data compression. It is also called as compressed sampling in which the signals follow the Nyquist-Shannon sampling theorem. In this paper the watermark is extracted under compressive sensing attack with different number of available image coefficients. This paper compares the values of watermarking with compressed sensing and watermarking without compressed sensing.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:30Z
      DOI: 10.1063/5.0074116
       
  • A review on effect of cooling rate in fiber reinforced polymeric
           composites

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      Authors: Krishnakumar Gupta, Vishal Fegade, Jeevan Kittur, M. Ramachandran, S. Madhu, S. Chinnasami, M. Amudha
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Cooling rate data can be quantitatively classified by mitigation factor analysis (QFA). QFA can characterize a particular alloy by a value of the severity of a particular audit, In general, the smaller the mitigation factor, the higher the mitigation rate. This study includes injection molding, mechanical properties, polymer matrix scale. It is usually mass-produced compounds, crystallization, Injection mold design is a manufacturing process for manufacturing parts on a large Used in processes, same their area is formed Thousands in succession or a million times. The mechanical properties of an object are usually tested under given loads.polymer matrix is a continuous phase of compounds reinforcing agent in place keep Used most of degradation processes Crystallization is defined as a process, this allows a chemical to be transferred from a liquid solution to a solid crystalline state.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:30Z
      DOI: 10.1063/5.0074237
       
  • Experimental investigation on friction stir processing of AA6082

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      Authors: M. Selvakumar, T. Surulivelrajan, S. Kathiresan, G. Sathi, B. Narendhiran
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Friction stir processing is a solid state process where material deforms plastically and it does not melts & recast. Improper parameter selection results in occurrence of many visible and micro structural cracks or voids. In this present work, Friction stir processing of Al-Si alloy is being carried out for varying combinations of tool rotational speeds and tool transverse speed. The macro level and the micro level changes in its structure and material distribution in various zones are being studied. Silicon particles act as a tracer material in aluminum matrix. It helps in determining the material flow and its distribution along various regions of FSP through micrograph. By comparing the macro & micro graph, the FSP parameter which gives the fine grain structure is concluded as an optimum parameter to process Al-Si alloy.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:30Z
      DOI: 10.1063/5.0074359
       
  • Optimal combination and sizing of multi-type DGs by application of
           multi-objective Taguchi method integrated with desirability function
           analysis

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      Authors: Varsha S. Galgali, M. Ramachandran, Geetanjali A. Vaidya
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      In the existing scenario, the planning of distributed generations (DGs) in the power distribution network is an exceedingly important issue from a system performance perspective. DG types are decided based on their distinctive power delivering properties. In this paper, two cases of simultaneous placement and sizing of multi-type DGs (MT-DGs) are considered. The first case uses two types of DGs whereas the second case considers three types of DGs. Finding optimal locations for placement of MT-DGs is presented as a multi-criteria decision-making (MCDM) problem in this paper. It is solved by applying TOPSIS in a triangular fuzzy membership environment, seeking the opinions of domain experts. Further multi-objective customized Taguchi method integrated with desirability function analysis (TM-DFA) is implemented for selecting optimal combination and optimal size of MT-DGs.TM-DFA can execute optimization of almost a thousand objectives simultaneously and every objective can be added with ease. In this work,an attempt has been made to maintain the power system stability after MT-Placement. The proposed hybrid approach is tested on the IEEE 85-bus radial distribution network. Performance parameters of both cases are compared. It is found that the performance of the second case is superior.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:29Z
      DOI: 10.1063/5.0074119
       
  • Entrepreneur well-being - Exploratory research

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      Authors: Ravindra Penmatsa, A. Sree Ram
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The world is changing at a fast pace, and it will continue to change faster. This swift change is leading to a volatile, uncertain, complex, ambiguous (vuca) environment. Vuca environment is one of the primary sources of stress for entrepreneurs and individuals both personally and in organizational contexts. Stress, if not handled, can have serious consequences. There is growing interest in entrepreneur well-being to address the challenges of stress. This paper attempts to structure the scholarly knowledge available on entrepreneur well-being: what type of stress entrepreneurs’ experience, what frameworks available to assess well-being, what factors contribute to better well-being, and the leanings that can help entrepreneurs. Two approaches, the hedonic and the eudaimonic, are the most referenced frameworks to assess well-being. Empirical studies indicate that the following have a significant positive impact on well-being: intrinsic goals (vs. Extrinsic); autonomous motivation (vs. Controlled); opportunistic entrepreneurs (vs. Necessity); problem-based coping (vs. Emotion-based); courage; psycap (self-efficacy, optimism, hope, and resiliency); association with peer entrepreneur groups; and spiritual orientation. Entrepreneur development programs can use the learnings to ensure coverage of psychological aspects also along with economic factors.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:29Z
      DOI: 10.1063/5.0074592
       
  • Effect of copper nano particles on mechanical, thermal and morphological
           properties of short jute fiber reinforced poly lactic acid composites

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      Authors: Ramachandran Manickam, B. A. Modi
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Composites is a type of material which is made offibers or fillers embedded in matrix. Fibers and fillers are used as reinforcing materials to get the desirable properties to the composite laminates. The matrix is used for binding the reinforcing materials in place and to distribute the stresses due to external force uniformly among the constituent reinforcement materials. In this paper, we are studying an effect of copper Nano particles on mechanical, thermal and morphological properties of short jute fiber reinforced poly lactic acid composites. The composition with 80 grams PLA and 20 grams fiber has the highest tensile strength of 56 N/mm2 as well as has the highest yield strength of 45 N/mm2. It is evident that addition of copper Nano powder decreases both tensile and yield strength. The composition with 77 grams PLA, 20 grams fiber and 3 grams copper Nano powder has the highest Izod impact strength of 16 joules and the Charpy impact strength of 28 joules and addition of copper Nano powder increases both Izod and charpy impact strength. The composition with 77 grams PLA, 20 grams fiber and 3 grams copper Nano powder shows the highest value of Brinell Hardness Strength i.e. 102.79 BHN and addition of copper Nano powder increases the hardness strength. Addition of up to 2 % of copper Nano Powder decreases the temperature both at 10 and 50 % weight loss. Further addition of copper Nano powder does not show any significant changes in the temperature both at 10 and 50 % weight loss. It is clearly indicate in the SEM image that there was no accumulation of Copper Nano powder in the matrix and copper Nano powder is covered the rough surface of the Jute fibres and remain intact even in the application of force.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:28Z
      DOI: 10.1063/5.0074230
       
  • Implementation of hybrid methods for vehicles monitoring and control
           designed experimental systems

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      Authors: T. N. Prabakar, Sivaprakash C., Srinivasan A., Raja G. V.
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The daily increase of vehicles in roads has made the manufacturers to inculcate advanced safety features which are controlled electronically based on all situation in traffic. Accidents caused by the unconsciousness of driver is also controlled when vehicle goes unstable. The accident caused by drunk and drive cases can also be reduced by placing a detector in the vehicle. The closing and opening time of eye of the driver is monitored and it is used for determining whether the driver is drowsy or steady in driving by using an infrared sensor as an eye glass. If the driver fell unconscious, the system will automatically rise an alarm signal simultaneously reducing the speed of vehicle. The use of Arduino microcontroller will control the sensor to avoid obstacles and to avoid collision with human beings. This work is also focuses on usage for effective headlamp based on detection of headlight especially during peak traffic period.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:27Z
      DOI: 10.1063/5.0074232
       
  • Sepic with magnetic coupling for high voltage applications

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      Authors: A. S. Valarmathy, P. Chandrakala, S. Hemalatha, G. Kalapriyadarshini, M. J. Murali
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      A high voltage steps up converter suitable for renewable energy application has been presented here. The roposed converter has been derived from the basic SEPIC converter with two voltage multiplier cells (VMC) to produce high voltage transformation ratio. Operating principles are discussed thoroughly. The structure becomes modular as a pair of coupled inductor support for high conversion ratio reducing requirement with additional components. To verify the effectiveness of converter simulations are carried out with an input fed with 18V to produce 272V to deliver an output power of 140W. The switch stress and diode stress contributes to 36% of output voltage.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:27Z
      DOI: 10.1063/5.0074353
       
  • A study on the impact of emotional intelligence factors for the
           enhancement of workplace happiness with reference to the teaching faculty
           in Bangalore

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      Authors: S. Prem Knowles, D. J. Ashpin Pabi, S. Mohan Kumar, G. Rajesh Babu
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The term ‘Emotional Intelligence (EI)’ refers to the capability to recognizing and regulating the emotions in ourselves and others (Goleman,2001). The objective is to find out the relationship between demographic factors and emotional intelligence factors in this study. Also to analyze the impact of Emotional intelligence factors on workplace happiness of the faculty in Bangalore. The researcher selected 300 respondents as sample size. In this study, the researcher adopted convenient sampling method for selecting the sample. The faculties of private Engineering colleges were the target audience as respondents. The emotional intelligence tool has been constructed and standardized by Baron (The Bar-On model of emotional-social intelligence (ESI) developed in 1982) which is popularly known as Baron's tool. This scale consists of 66 items, measuring 10 dimensions. the emotional intelligence factors empathy, self-regard, problem solving, Emotional self-awareness, Interpersonal relationship, impulse control, flexibility, stress tolerance and reality are in good level and some of assertiveness aspects (stand up for their rights and hesitate to say no in their disagree situations) among teaching faculty is in moderate level and there is a need for encouragement activities and training programs on assertiveness by the institutions or the education board to improve their faculties’ assertiveness level. Assertive level of 0 to 5 years of experienced faculties are lower than the experienced faculties. High experienced faculties are moderate in assertiveness because they are close to management. The empathy level of all category experienced faculties are in good level.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:26Z
      DOI: 10.1063/5.0074909
       
  • A review on normalization based architecture for floating point numbers

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      Authors: Chepuri Pravalika, Kadi Jaya Ramesh, Rajkumar Sarma
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      In the Present technology, precision plays an important role in many applications like digital signal processing. To represent large or small values, the integer representation of large range is no longer applicable. These values are represented using the IEEE-754 standard based floating-point representation. Floating point processing is used in numerical applications. It is the process of efficiently organizing data in a database. Floating point Normalization is required when two floating point numbers of equal or identical exponents are subtracted, result may become zero and would not satisfy the IEEE floating point format. Normalization should take place in order to make this number compatible with the IEEE format. The Cadence virtuoso tool can be used for designing Normalization process at transistor level. For this design different technologies like 90nm gpdk or tsmc 130nm etc can use. The different possible architectures of Normalization are described based on different parameters.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:26Z
      DOI: 10.1063/5.0074904
       
  • Performance of hybrid electric vehicle

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      Authors: Manas Kumar Sahu
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      With the increment of per capita energy utilization, ecological pollution is deteriorating. Utilizing new alternative sources of energy, lessening the utilization of traditional fuel-controlled motors is imperative. Because of the brief time frame, pure electric vehicles can't be mass-created and there are numerous issues, for example, imperfect charging facilities. Therefore, the advancement of hybrid electric vehicles is especially significant in a specific period. Dynamics performance and fuel economy of hybrid electric vehicle are to a great extent limited with energy management strategy. Here in this paper another new Power Management Strategy has been characterized for motor force just as for the battery. This research project venture incorporates the development and optimization of an energy management system for a parallel hybrid drive train. The PMS will control the power stream between the parts to accomplish the most efficient operation of the complete operation. The PMS, including the heap procedure of the ignition motor was simulation based advanced to run the parallel hybrid drive train with the highest possible efficiency to ensure a minimum amount of fossil fuel consumption and balanced SOC. For the optimization of the PMS-parameters, energy flow graphs were produced and evaluated.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:25Z
      DOI: 10.1063/5.0074906
       
  • Predictive analytics on Covid using recurrent neural network

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      Authors: S. Vadivel, R. Jayakarthik
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      In this paper, we develop a risk based predictive analytics model utilizing the available dataset to train the model. To predict the likelihood of a new strain of Covid-19 syndrome in patients, the researchers used a deep learning classifier called Recurrent Neural Network (RNN). The study considers diabetes patients as the respondents and the data is collected from the diabetes patients. The risk of covid-19 effects on diabetes patients are deeply analyzed using RNN. The collected datasets are initially pre-processed and then the features are extracted with final classification using RNN. The experimental analysis is conducted to validate the efficacy of the predictive analytics using RNN. The findings indicate that the suggested RNN outperforms other approaches for forecasting covid-19 risk in diabetic patients.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:25Z
      DOI: 10.1063/5.0074488
       
  • Linear buckling analysis of composite laminates with an elliptical cutout
           under combined in-plane loads

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      Authors: J. Gowthaman, P. Pandiarajan
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The paper aims to examine the initial buckling progress of the square plate on a centrally placed cutout of elliptical shape with combined loads (–ve shear load and uniaxial compression). The influence of the orientation of elliptical cutout, cutout geometric ratio and cutout position in various laminated square plates on which buckling load was analysed. The result shows that the magnitude of the buckling load is higher by enlarging the angle of the cutout in all types of laminates. By extending the c/a ratio at a larger angle of the cutout, the buckling capacity magnitudes are increasing whereas, for the smaller angle of c/a ratio, the load is declining. By extending the b/a ratio, the magnitudes of the buckling load are decreasing. The cross-ply laminate [(0°/90°)2]sis impregnable than the angle ply laminate [(45°/- 45°)2]s and Quasi-isotropic laminate (45°/-45°/0°/90°)2 irrespective of the orientation of the cutout, the geometric ratio (b/a and c/a) and cutout position.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:24Z
      DOI: 10.1063/5.0074246
       
  • Impacts of COVID-19 on financial market: A sector-wise analysis

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      Authors: P. Thalhath
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Coronavirus disease (COVID-19) is an infectious disease caused by a recently discovered corona virus. First case is reported in Wuhan City, Hubei Province, China. Various studies found that COVID-19 Pandemic has severely affected the Indian economy and all the major sectors like Banking, Oil & Gas, FMCG, Real Estate, etc.and almost all companies. The Main aim for this study is analysing how COVID-19 Pandemic has affected different sectors of Indian Economy. The researcher found out thatthere is a significant difference between daily closing price of all sectors before and after the first case of COVID-19 reported in India. And there is no difference among the sectors of the Indian economy during the covid-19 period. And when comparing the daily average return of before and after the first case of covid-19 reported in India, all sectors except pharmaceutical and IT sector have been declined. This study will help the policy makers and researchers for taking appropriate decision and further research.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:24Z
      DOI: 10.1063/5.0074368
       
  • Prediction of disease and suggestion of specialist using big data
           techniques

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      Authors: K. V. Kanimozhi, R. Beaulah Jeyavathana, C. Shahul Hameed
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      This paper mainly focuses to develop a model which provide medical assistance for people by predicting the disease and give suggestion of medical specialist using novel big data techniques, Analysis of patients symptoms and predicts the disease using map reduce technique and also based on the disease prediction if the case is severe the model also suggests the doctor to consult from the own place and also suggest the drugs , Thus it avoids the people for self medication which may lead to wrong treatment and hence the model provides accurate prediction and thus solves common people problem. The proposed method performs better accuracy percentage compared to other existing methods like Decision tree and Naïve Bayes Method.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:23Z
      DOI: 10.1063/5.0074128
       
  • Behavioural traits on purchasing two-wheelers – A buyers’
           perspective on post Covid

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      Authors: G. R. Gayathiri, V. R. Ragavan, M. Sridhar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Two wheeler sectors generate more income to motor companies, dealers and helps to reduce the travel problem. Consumers have necessity of bikes in today's situation to maintain social distance and to avoid spread of diseases. In this sector people expect quality service from dealers and long life of the vehicle. In the present study the researchers aimed to analysis the satisfaction of consumer behaviour in two-wheeler purchase in the study area. Researcher collected primary data from 120 respondents by constructing organised questionnaire. The statistical tools like percentage analysis, rank analysis and chi-square test where used to analyse the primary data. It is finally concluded that consumers expect more quality for their product and good services from their dealers.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:23Z
      DOI: 10.1063/5.0074248
       
  • Perception of rural people towards digital transactions with special
           reference to card payment

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      Authors: B. Sindhu, Sruthy Anilkumar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      It was considered to be a move towards cashless economy and promotion of digital transactions. Is it possible in the case of India' Because India is one of the developing nation and many area requires development. From this view point, this research paper is an attempt to identify the attitude of people towards digital payment with special reference to card payment. The study was based on rural people consisting 150 respondents from Kerala. This research will helpful for policymakers and government to take decisions effectively.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:22Z
      DOI: 10.1063/5.0074922
       
  • Operational performance and profitability of Bank of Baroda with analysis
           of CAMEL model

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      Authors: Venu Kesi Reddy, A. Sreeram
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Banking sector playing a vital important role fast growing economy of India. It cannot be imagined without the existence of banking sector our nation. Nowadays banks are facing so many challenges. The study of operational performance and profitability of Bank of baroda with analysis of camel model aims to know the operational performance and profitability analysis of BOB. This study uses the CAMEL method to find outperformance of banks with parameters First Capital Adequacy, Second Asset Quality, Third Management Efficiency, Fourth Earning Quality, Fifth Liquidity and Sixth Sensitivity.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:21Z
      DOI: 10.1063/5.0074361
       
  • ANFIS based MPPT for grid PV generation system using QZSI

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      Authors: M. J. Murali, R. Harish, A. S. Valarmathy, G. Indira, S. Hemalatha
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The proposed material explains the activity of a versatile Adaptative Neuro Fuzzy Interface System ANFIS based Maximum power point tracking (MPPT) for Solar Photo Voltaic (SPV) energy generation framework. The MPPT operates on the principle of changing the voltage of the SPV modules by dynamic the duty quantitative relation of the Quasi-z-source electrical converter. The duty cycle proportion of the inverter is set for a given solar based mostly irradiance and temperature condition by a control system management plot. The control system management of the qZSI manages the duty cycle and also the modulation index to viably manage the infused power and keep up the constant voltage, current, and recurrence conditions. The ANFIS is ready to produce greatest power relating to the given star based mostly irradiance level and temperature. The output response of the ANFIS-based management framework is deeply precise and offers a really fast response. The principle objective for a grid associated PV inverter is to feed the accumulated energy from PV panel to the grid with high potency and energy efficiency. The simulated consequences reveal that the planned ANFIS MPPT regulator was effective, exceptionally uncomplicated and small expenditure.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:21Z
      DOI: 10.1063/5.0074360
       
  • Covid heuristic analysis using machine learning

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      Authors: Pravin R. Kshirsagar, Makarand Upadhyaya, Pankaj Dadheech, T. Yuvaraj, C. A. Sathiya Moorthy
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The newer avid-19 corona virus created havoc for patients with a variety of complications that prompted health practitioners around the world to develop new technologies and treatment plans. Technologies based on Machine Learning (ML) have been a major factor in addressing complex issues and many businesses have been able to develop and adapt to the COVID-19 challenges. The diagnosis of illness can be used with different AI methods to monitor the present havoc. Since Machine Learning (ML) approaches have been commonly used in other domain fields, a great deal of demand is now being made for ML-supported diagnostic systems to screen, monitor, and forecast void-19 spread and find a cure. The article presents an overview of the role of ML to combat the virus so far, especially from the perspective of screening, prognosis, and vaccine.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:18Z
      DOI: 10.1063/5.0074120
       
  • Financial literacy levels among teachers in higher learning institutions
           in Hyderabad

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      Authors: Gutti R. K. Prasad, Byju John
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Financial literacy is the core of the economic well-being of any person. Day by day, financial literacy implications are increasing due to versatile and complex financial products made available to individuals by corporate entities worldwide. India is not an exception to it. This paper aims to measure financial literacy levels among the teachers in higher learning institutions in Hyderabad since they are the most incredible inducing community in any society. They can influence many aspects of students’ lives,who are the future wheels of the economy. Having higher financial literacy by teachers can act as role models to their student community and put them on the right financial path to grow economically and take care of their future financial needs. Hyderabad is the capital city of the State of Telangana, India. The study used data collected from respondents with a structured questionnaire with two sections: social and demographic profile and financial literacy profile such as financial learning, numeracy, knowledge, attitude and behavior as a primary source to determine financial literacy levels and use data from desk research. Undertaken descriptive analysis to analyse the data and found that the 21% of teachers’ in higher learning institutions in Hyderabad are having high level of financial literacy and majority of teachers are having moderate level (58.5%) of financial literacy. Compared to male teachers, female teachers have a slightly higher level of financial literacy. 70% ofmaleteachers respondents correctly answered the financial numeracy questions compared to female teachers in Hyderabad. This study can help policymakers, corporate entities, and academic institutions enhance literacy levels in finance to improve individuals’ economic well-being.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:16Z
      DOI: 10.1063/5.0074241
       
  • Face recognition system for criminal identification using deep metric
           learning

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      Authors: V. Sowmeya, R. Jaya Karthik
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Face recognition and detection are unimaginable inventions in today’s world when it comes to experiencing every crime. Protection, surveillance, entertainment sites, and criminal identification are just a few of the amazing applications. This device is particularly useful for customer screening in banks, airports, and other businesses. CNN needs more data for deep learning because it is still a facial recognition system, which is particularly problematic in the case of applications such as criminal investigations (murder, robbery, etc.). As a result, this project incorporates a face- recognition system that makes it easier and more reliable to scan for offenders, thus assisting police officers effectively and organization. In this paper, we implement the Deep Metric Learning to construct the face embedding for recognition process usingdib face recognition library.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:15Z
      DOI: 10.1063/5.0074484
       
  • Fatigue detection using artificial intelligence

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      Authors: Pravin R. Kshirsagar, Pankaj Dadheech, T. Yuvaraj, C. A. Sathiya Moorthy, Makarand Upadhyaya
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Over the years the development of computer technology has benefited drivers, often in the form of smart systems. In a significant number of car collisions, tiredness is a major factor. Road collisions are the world's most frequent types of injuries and fatalities, and the main causes are typically drunken, sleepy, and rudely behavioral. The main purpose of this article is to define common sources of knowledge for the detection of drowsiness to evaluate when a specified degree of drowsiness is achieved. Fatigue was one of the key techniques for detecting or tracking augmented reality. In particular, driver drowsiness identification can protect riders from drowsy riding collisions. This technology relies on face detection to warn the driver of somnolence or to avoid accidents in traffic.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:15Z
      DOI: 10.1063/5.0074121
       
  • Artificial intelligence based handwritten text recognition system

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      Authors: B. Parvathi Sangeetha, E. Kodhai, M. Belsam Jeba Ananth, R. Revathi, Akkaraju Sailesh Chandra, P. Vijayakumar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Handwriting Detection is a computer's approach or ability to access and interpret understandable handwritten source inputs such as paper documents, touch screens, images, etc. Recognition of handwriting is characterized as the task of turning a language into its symbolic representation represented in its spatial form of graphical marks. The progress is base on artificial neural networks, which is an artificial intelligence area of study. To build a Handwriting character recognition system, similar techniques and methods are used. When the data is implemented and translated into digital form by an OCR (Optical Character Recognition) device, it can be edited, manipulated, and processed in a computer-understandable form. For extracting the characteristics of the handwritten alphabets, a method of feature extraction is implemented and then we use the data to train the artificial neural network. It contributes enormously to the development of an automation process and in various applications will enhance the interface between man and machine.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:14Z
      DOI: 10.1063/5.0074363
       
  • Energy harvesting using automobile chargers with wireless power transfer

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      Authors: P. Chandrakala, S. Hemalatha, G. G. Indira, M. J. Murali, P. Harish
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Wireless Sensor Network (WSN) deployment is growing as a result of recent advances in sensor technology. WSN has been used extensively in monitoring and surveillance applications, including environmental sensing, target tracking, and systemic health monitoring [11, 12]. Since typical sensors have operated by batteries, WSN deployment on a large scale is hampered by the limited battery power. A smart energy power distribution system has been introduced in this paper. The Peltier sensor generates power from the vehicle's engine heat and is transferred to the WPT load. The cost of generated power is updated to the server via the internet and used for filling fuel.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:13Z
      DOI: 10.1063/5.0074364
       
  • Machine learning algorithm for leaf disease detection

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      Authors: Pravin R. Kshirsagar, D. B. V. Jagannadham, M. BelsamJeba Ananth, Anand Mohan, Ganesh Kumar, Pankaj Bhambri
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Identification and classification of plant diseases is a major field of study, as most people in India depend on agriculture for their main source of income and food. This is one of the reasons why the identification of plant diseases plays a significant role in agriculture. It is useful to detect plant disease through any automated technique as it eliminates a significant amount of monitoring work in large crop farms and detects the symptoms of diseases at a very early stage, i.e. when they appear on plant leaves. The framework mainly involves different concepts related to image processing, such as image acquisition, image pre-processing, and extraction of features, database formation, and artificial neural network classification. This paper covers research on various methodologies for the use of neural networks to detect plant leaf diseases.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:12Z
      DOI: 10.1063/5.0074122
       
  • ClustSyn: A hybrid approach based on clustering and synthetic sample
           generation for imbalance data classification

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      Authors: Rekha G., V. Krishna Reddy
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      One of the major problems to be investigated in various application domains in the real world is the skewed / imbalanced distribution of data. The class imbalance problem occurs when samples from one class significantly outnumber samples from the other class. The machine learning algorithms show bias towards the majority class / negative class (class with more samples), resulting in a significant deterioration in the classification performance. Recent studies have shown that the presence of other features, such as small disjuncts, overlapping, and noise in data, can make classification much more difficult. In this paper, we propose an effective hybrid approach based on clustering and synthetic sample generation for imbalance data classification called clustsyn. It consists of clustering algorithm along with the synthetic data generation using mahalanobis distance. The reason for using the mahalanobis distance is that it can minimise the probability of overlap and maintain the structure of covariance when providing synthetic samples for the minority class. Clustsyn efficiency is compared with state-of-the-art methods such as adaboost, rusboost, smote boost, based on ensemble learning. We have performed experiments with different imbalance ratios (ir) on 11 datasets. Results show clustsyn outperformed existing methods for imbalanced and small disjunct datasets.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:11Z
      DOI: 10.1063/5.0087790
       
  • Investigation on critical issues of construction delays in Indian metro
           rail projects

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      Authors: G. Muthamizh Selvan, D. S. Kathickraja, P. Dhamodharan, P. Saradha, V. Shanmugavadivu
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Construction industry plays an important role in socio-economy development of any developing country. world over, transportation infrastructure projects face delays in commissioning and India is no exception. The time of construction is a benchmark for assessing the project performance. Some of the unexpected activities during project the led to delay in project completion duration. Construction projects delay was considered as the most common problems causing negative effects in the construction projects. In this project we identify the important delay causing factors in the commissioning of metro rail projects in India. In India, several metro rail construction projects experiencing more delays, due to that the initially fixed delivery duration and expenses also exceeded. “delay can be defined as the time overrun or the extension of time for finishing the project”. This paper aims to find out the most significant factors causing delays in Indian metro rail projects through literature review and questionnaire survey. From the literature review 117 causes of delays categorized into 9 different groups, 27 effects were acknowledged and it also rankings given by each authors for the delaying factors aren't an equivalent to varying native and context. Further, the survey is conducted with the participants (contractors, client, consultants and others) of Indian construction. Calculation of relative importance index (rii) for the shortlisted factors yielded the ranking. The ranking by various categories of respondents was analyzed using importance index method (impi%)
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:11Z
      DOI: 10.1063/5.0087433
       
  • Artificial intelligence based women security and safety measure system

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      Authors: Mohd Naved, Awab Habib Fakih, A. Narasima Venkatesh, Vani A., P. Vijayakumar, Pravin Ramdas Kshirsagar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      There is much immoral domestic abuse for women across the world. This is accelerated due to the absence of an effective tracking system. This study focused on a female's safety system focused on AI which offers security to women at risk. This framework can automatic and manual respond correctly in crucial circumstances. In order to accurately track the condition of victim and raspberry pi, the proposed device comprises a speech recognition device, Gsm modem and several other detectors, such as pulse detectors and an accelerometer, to monitor the collected information and avoidance or safety measures shall be carried out according to the significance of the problem. In this paper we present a mobile applications, SWMS, which offers an important function should provide emergency assistance. And we use one program and several collar chains artifacts and displays which are in everyday use. The machine is identical to a monitor on the collar with a button as a source, where, when turning on the shouting warning, the electric shock device and the monitor and location details of contacts and the closest police station are enforced for the self-defense intent. Video camera electric shock and streaming live footage are built into shows that serve like a digital technology tool, which we also think can have an impact on women's life. We'll use the Raspberry pi and python platform for execution
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:10Z
      DOI: 10.1063/5.0074211
       
  • Study on modified booth recoder with fused add-multiply operator

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      Authors: A. R. Aravind, K. K. Senthilkumar, G. Vijayalakshmi, J. Gayathri, G. Kalanandhini
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      In complex arithmetic progressions are wide used in Digital Signal Process uses. This work emphases on the effective design of FAM operators, affecting the optimization of the coding structure for direct modeling of the MB arrangement of the summation of two numbers (Sum to Improved Booth– S-MB). More definitely, we suggest new methods which reduce the critical path delay and reduce the area. The proposed S-MB algorithm is very simple and it can be easily adapted in order to be functional either in signed (in 2's complement representation) or unsigned numbers, which include of odd or even number of bits. We discover three different arrangements of the proposed S-MB method using conventional and signed-bit Full Adders (FAs) and Half Adders (HAs) as structure blocks. Associating them with the FAM schemes which usage existing recoding arrangements, recommended method decreases the critical delay, area of the FAM unit.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:09Z
      DOI: 10.1063/5.0074212
       
  • Design and fabrication of solar powered surveillance drone for women
           safety

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      Authors: G. Shanmugasundar, Abhishek G. Shanker, V. S. Vinothabhilash, K. Vijayalayan, S. Jayaraman
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The drones are mostly used for carry some subsystems attached to it. Here we use the drone for surveillance purpose (i.e., Surveillance of nook and corner of the city for the safety of women in current scenario). The additional improvement done in our project is the implementation of solar technology to make the drone to fly almost for the whole day and night. This ensures the safety of women in every place of the city.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:08Z
      DOI: 10.1063/5.0074456
       
  • Design and fabrication of multi utility agricultural vehicle for village
           farmers

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      Authors: G. Shanmugasundar, M. Gowtham, E. Aswin, S. Surya, D. Arujun
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The main aim of the paper is to elaborate the development of multipurpose agricultural vehicle, forperforming major agricultural operations likeploughing, seeding, harvesting. The modification includes fabricating a vehicle which is small, compact in size. The project is about amachine design which makes cultivation much simpler. The design of the chassis of the vehicle is made in such away that it issuitable for the operations. The design for automatic seed sowing equipment is made. The plough is designed and modified thecurrently available plough tool in such a way that it with stand the load. The harvester (cutter) is designed and working by scotch yoke mechanism.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:08Z
      DOI: 10.1063/5.0074457
       
  • Designing of modelled engine combustor for reducing NOx emission using
           hydrogen as fuel and its analytical verification

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      Authors: G. Sujesh, Kailash Karunakaran, V. Prajeesh Raj, P. Rinchu
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Hydrogen is a well-known renewable source of energy but there are many practical challenges for using it as a fuel in the field of aviation, which made it a subject to research since decades. Many aspects of hydrogen as a fuel has been researched and analysed including the pollution issues. The premixed combustion technique has more flame stability than diffusion technique. Hence, we combined both the premixed and rich lean combustion techniques to achieve reduction in NOx formation. Three different compressor modelling for NOx emission are analysed in this study. The NOx characteristics are studied and these results are compared with the conventional diffusion combustor.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:07Z
      DOI: 10.1063/5.0074216
       
  • Design and development of voice controlled robotic wheel chair for
           handicapped people

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      Authors: G. Shanmusundar, A. Aravindh Krishana, S. M. Anand, P. Kishore Kanna, A. Yamini
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The objective of this work is to design, develop and construct a voice controlled automatic wheelchair. The developed wheelchair is able to operate by using the voice commands through the given input. The principle of the developed wheelchair consists of motor system, voice recognition module that would be controlled by the microcontroller. The automatic obstacle detection system is included to the developed wheelchair by using ultrasonic sensors in order to break the developed wheelchair immediately when any obstacles suddenly come in the way of the developed wheelchair. This paper helps to elaborate the detailed design and development steps of voice controlled robotic wheel chair for handicapped people in a understandable manner.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:07Z
      DOI: 10.1063/5.0074458
       
  • Studies on the performance of hydrokinetics river turbines

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      Authors: P. K. Chidambaram, D. Muruganandam, V. Esra, K. Velavan, Surenraj Rajan
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      This paper reviews about the helical turbines and their efficiency on operation and their specifications. This paper also explains about eco-friendly specification of hydrokinetic turbines compared to conventional hydraulic turbines. And also provides the information on fish injuries and mortality. Gorlov turbine shows that it’s suitable for tidal, oceans, reservoirs, canals, etc., for electricity production and Lucid spherical turbine is much suitable to urban areas where the transportation of water takes place pipelines. Government of India takes serious steps to reduce the greenhouse effect they’re by contributing eco-friendly environment to global. Government of India initiated many hydro projects and capable of producing electricity in Tera watts (TW). As SHP is the least producer of greenhouse effect India is promoting SHP projects and supports private and government sectors. For the development of clean environment usage of hydrokinetic turbines across India meets the requirement and target in producing clean hydro energy. These hydrokinetic plants are suitable for Indian location as of in many Indian location runs water scarcity at dry conditions, hydropower plants tend to be shut down, so as the hydrokinetic turbines can run at low head levels and can be able to produce constant output. These hydrokinetic turbines can be constructed near rural areas to provide electricity.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:06Z
      DOI: 10.1063/5.0074217
       
  • Prediction of human height, weight and BMI from face images using machine
           learning algorithms

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      Authors: P. Vishnu Raja, K. Sangeetha, D. Sanjay Kumar, A. Surya, D. Subhathra
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Body Mass Index (BMI) is one of the most widely used characteristics when considering an individual’s fitness. BMI is a metric that is used to distinguish people and label them as overweight, underweight, or fit, which is helpful in assessing their health status. BMI is related to cholesterol and body fat, and is an important predictor of diseases that can evolve as a result of higher body fat levels. Most people are unconcerned with their health due to a lack of physical exercise and a hectic lifestyle. For a higher body fat ratio, a higher calorie diet is more normal these days. Malnutrition, on the other hand, is more serious and pervasive than we would imagine these days. BMI is a method used to assess adult dietary status of both people and populations. We suggest a cost and time effective approach for estimating Height, Weight, and BMI from a human face in the real world, where people have less time in their busy lives and most people do not own a measuring tape or a weighing machine. Kernal Ridge and Random Forest Regression Models were used. The Face recognition module in Python is used to detect a person’s face from an image. The image is then forwarded to the Feature Extractor model for processing. The derived features of height, weight, and BMI will be used in the regression models we used for further processing. For the validation of our concept, we used the VIP attribute dataset. The VIP attribute dataset includes photographs of men and women’s faces along with their weight, height, BMI, age, and gender. When used as a Feature Extractor, the Random Forest Regressor model worked well for the weight attribute. Kernel Ridge performed well when dealing with height, while the Random Forest regressor performed well when dealing with the BMI attribute.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:05Z
      DOI: 10.1063/5.0074450
       
  • Perceived benefits and challenges of online learning among nursing
           students during COVID-19 pandemic: A qualitative phenomenological approach
           

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      Authors: Rinu J. George, Jibin Kunjavara, Manoj Kumar L., Vinod V. Bagilkar, Sindhu Anil Menon, Shiny T. Sam
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Background: Globally Covid 19 has leased almost all domains of human life in and around; business, education, tourism and so on are not an exception. Medical professionals are group which actively got involved in this disaster management arena. Training of medical and nursing professionals has also got into stake or it got narrowed into online mode of education. Methods: A phenomenological qualitative study was conducted to identify perceived benefits and challenges confronted by nursing students of a selected nursing college in Northern India. Data was collected from thirty nursing students with the help of a validated focus group discussion guide. Five FGD were conducted to collect data until availing data saturation. Data was transcribed, coded and developed themes, sub-themes based on codes keeping participant verbatim in support. Results: The thematic content analysis of Data revealed four core themes 1) academic usefulness, 2) Time effectiveness, 3) Challenges faced, 4) attitude and perception of students and couple of sub themes along with it. Overall impression of the study shows nursing students were less favorable to online mode of learning. Conclusion:This study portrays out all aspects pertaining to online education mode considering ill effects and benefits as perceived by nursing students from their nearly one year of experience.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:04Z
      DOI: 10.1063/5.0074208
       
  • A study on design of universal gripper for different part handling:
           Methods, mechanisms, and materials

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      Authors: G. Shanmugasundar, M. Dharanidharan, D. Vishwa, P. Gokul, L. Manojkumar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The end effectors and grippers are the critical components of the robot and it must be properly designed according to the application requirement. So selecting a suitable gripper for the specific task is an important criterion. This research paper gives a complete study of the earliest to modern grippers using various mechanisms and technologies. In this paper, we focus on and discuss the grippers based on the methods used for gripping, materials used in the gripper and the mechanisms involved in the gripper. We have discussed the method and mechanism of grippers from the older two-fingered gripper to the latest granular jamming type universal gripper. The main objective of this research paper is to analyze the mechanisms, working, advantages and applications of various grippers so that specific grippers can be used for the particular operation.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:04Z
      DOI: 10.1063/5.0074452
       
  • Enhancement of heat transfer in plate heat exchanger using Al2O3 nano
           fluid in water and ethylene glycol

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      Authors: K. Anandhavelu, A. Mahabubadsha, V. Vinoth, M. Sathishkumar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The thermal properties of heat transferring apparatuswas increased by utilization of various nano fluids. In this investigation examines the rate of heat transfer in aluminum oxide nan fluid with water and ethylene glycol usinga plate heat exchanger. Aluminum oxide nanoparticles are made by Sol-Gel technique. The rate of heat transfer rises with reducing particle size. Now this research Alumina nanoparticle approximately 30 nm size used. Aluminumoxide nano fluids are equipped by changed Alumina particles concentrations in ethylene glycol and water as base liquid by using ultra-sonicator setup. The prepared nan fluid involved 2% nanoparticle content. The solubility of nanoparticles were increased by adding the surfactants to the equipped Nano fluid in level of 0.25% of an absolute concentration. Tests were executed in different operational circumstances and variations in flow rates and temperatures. The attained consequences indicated nanofluid practice as an operational fluid improved the rate of transferring heat in a plate heat exchanger and evaluated consequences developed from tests accompanied through water. Enhancement rate of heat transfer coefficient was succeeded about 14.5 % while Al2O3 in water ethylene glycol fluid was used by means of an operational liquid in the plate heat exchanger.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:03Z
      DOI: 10.1063/5.0075539
       
  • Synthesis and characterizations of diethyl 3,4-bis
           (2,5-dimethoxybenzyl)thieno[2,3-b]thiophene-2,5-dicarboxylate – DBDTTDO
           crystals of macro and nano scales

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      Authors: R. Divya, K. SenthilKannan, M. Jothibas, K. Suganya, R. Ranadevan, R. Krishnaveni, V. Sivaramakrishnan
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The DBDTTDO crystals are grown by slow evaporation solution growth method and the SCXRD shows the parameters and it has the anti-diabetic (AD) property because of the presence of thiophenes in the titled crystal and its IC50 is 34.24 for the grown crystal milled for 44 nm. The CHNSO analysis illustrates the chemical composition in the crystal which is grown and is matched with theoretical data and with chemical formula of DBDTTDO. The topography of the crystal is identified as SEM images of different magnifications. The mechano elastic behaviour is identified by tribological work and computationally referred the structural elucidation.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:02Z
      DOI: 10.1063/5.0074223
       
  • Supervise the data security and performance in cloud using artificial
           intelligence

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      Authors: Vani A., Mohd Naved, Awab Habib Fakih, A. Narasima Venkatesh, P. Vijayakumar, Pravin Ramdas Kshirsagar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Safety is a measure that shifts efficiency levels as a result of risks that impact the usage of cloud components during service delivery. Safety and performance demonstrate the reliability of cloud computing that tests the size of cloud creation are safety and protection. The study of computer algorithms that enhance natural reality is Artificial Intelligence (AI). We provide an outline of the cloud service problems and concerns for one or more AI algorithms such as supervised, unregulated, semi-controlled, and enhanced cloud safety concerns. A new paradigm of cloud data protection using advanced algorithms is introduced in the future framework. This technology is characterized as a computer science field that emphasizes the development of smart devices that function and respond much like human beings and enhance privacy and protection in the cloud environments. AI is primarily interested in voice recognition technologies, machine learning systems, planning decision systems and solving problems systems. The key industries of advanced technology processes are AI.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:01Z
      DOI: 10.1063/5.0074225
       
  • Analysis and mitigation of wear in two-wheeler gear using surface coating
           techniques

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      Authors: V. Paramasivam, P. Immanuel, Bala Arun, Aravindhasamy, Arockia Joseph Leo, Ajay Christopher
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The present paper concentrates on wear mitigation of spur gear in two wheeler using surface coating technologies. Wear mitigation method involves an experimental work of surface coatings on gear material and a finite element analysis of gear meshing model in conjunction with the Archard’s wear formulation to predict the wear rate of teeth surfaces. Two-wheeler pinion gear is chosen for the study which has higher wear rate in its face and root. The wears witnessed are abrasion and pitting which deteriorates the performance of gear. To mitigate the wear rate, the surface coating techniques Diamond like carbon (DLC) coating and hard chrome plating are chosen. The coating is followed by a wear test conducted pin on disc apparatus which gives the volumetric wear rate of gear material. Finite element model (FEM) of gear meshing is analyzed for wear by Archard law using ANSYS. Experimental and FEM results show that these coatings improve the wear resistance of gear in a better fashion compared with other coating techniques.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:01Z
      DOI: 10.1063/5.0074346
       
  • Lingual neutrosophic soft matrix in optimal decision on advertising
           mediums and global reach of products

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      Authors: N. Ramila Gandhi, P. Pandiammal, Nivetha Martin
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The business world has plunged into diverse mediums of advertising to promote products at global level. Many of the production sectors are using a combination of both traditional and online mediums of advertising to maximize the target coverage of the customers of varied kind. Large availability of conventional and contemporary advertising medium kinds fortifies the challenging task of making optimal decisions on apposite choice of advertising mediums for the decision makers in marketing segment. This research work intends to formulate a decision making model using the approach of lingual neutrosophic soft matrix. The proposed model is the extension of the earlier works with substantial developments in the realistic representation of expert's decision making matrix on alternatives and criteria. This model considers six advertising mediums with three each belonging to traditional and online as alternatives and seven criteria. The decision making model aims in ranking the advertising mediums to facilitate and ease the task of making optimal decisions on both forms of advertising mediums.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:47:00Z
      DOI: 10.1063/5.0074104
       
  • Development of an efficient inverter for self powered sand sieving machine

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      Authors: G. Indira, A. S. Valarmathy, P. Chandrakala, S. Hemalatha, G. Kalapriyadarshini
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Sand substance is placing important role in industries. In industries, sand product substance is used. Sand substance is the combination of the components like dirt, metal etc. In conversional method of sieving, hand or machineis used. And also there is a requirement of human energy for running the sieving process. In order to have more efficient process, new technique can be implemented so that the productivity can also be increased. With this, the power input of human can be reduced which in turn decrease the process cost. In this paper, solar powered Sand Sieving Machine with heterogeneous bridge inverter and SEPIC converter is proposed. Heterogeneous bridge inverter is a combination of two MOSFETs and two diodes. Proposed system reduces the turn-on losses with the help of freewheeling diode which is faster than IGBT. And also this system is used for reducing the turn-off losses with MOSFET switch.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:59Z
      DOI: 10.1063/5.0074347
       
  • Plithogenic cognitive analysis on instigating spiritual intelligence in
           smart age youth for humanity redemption

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      Authors: R. Priya, Nivetha Martin, T. Elphinston Kishore
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Mankind dominates the cosmos with their creations and exerts their reign over the universe by expanding their contributions towards the progressive facets of science and technology. The escalation in human’s cognitive domain is steadfast, but the social dimension of the human is descending with a weaker version of human values. Humanity is the composition of compassionate feelings and emotions which appears to be a deficit in this present scenario and the society witnesses a space created by the lack of humanity. This emptiness should be filled with positive instigating thoughts by accelerating the radiance of spiritual intelligence to the mankind of this present world. The educational institutions are bearing the prime responsibilities of spreading the significance of the values to the younger generation of this smart age for creating the future world of human with humanness. Can spiritual intelligence be activated in the youth of this techie age' If so how' To find more satisfactory answers to these questions, this research work is put forward with the plithogenic mathematical model of finding the most desirable strategies of redeeming humanity through spiritual intelligence.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:59Z
      DOI: 10.1063/5.0074105
       
  • Predominance and diminishing equivocalness of the images using double
           filtering – Density algorithm

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      Authors: B. Mallikeswari, P. Sripriya
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The incumbent research seeks to explore a pragmatic paradigm pertaining to contrast enhancement within images away from the conventional techniques in place. The study has proposed the double filtering-density algorithm with its emphasis on the enhancement techniques of images through partaking density micro filtering techniques. The study will initiate with an overview of the proposed algorithm before presenting a brief outline of the histogram equalization, infrared enhancement and the night image enhancement algorithms. Thereupon, a detailed investigation related to the proposed technique and the algorithm with all the quantifications will be observed. To present the validity of the suggested technique, the research will end with a simulation outcome of the methodology.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:58Z
      DOI: 10.1063/5.0074468
       
  • Iot based automation in the Manhole system

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      Authors: Priscilla PackiaSlacer, P. Pattunna Rajam, Mercy Theresa, J. Joyce Jacob, A. Benila
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      In the present scenario, the sedimentation in a drainage system is usually cleaned either manually or with the help of a suction pump. This work proposes a system to automate the process of separating the sediments from the effluents. All the effluents with sediments will pass through the screening which is designed to filter the sediments and let the wastage fluids alone pass through it. The flow rate will be constantly monitored through the screening and the piston action will be initiated, which will push the sediments downstream into storage well when the predetermined level of sediments is reached in the manhole. To carry out the piston action, the inputs that will come from above will be blocked and the back flow from the main sewer pipeline using membranes or blocking pads. The storage well is placed at a location adjacent to the manhole, which will move the sediments downwards and will keep filling it. There will be a load cell placed in the bottom of storage well, and when this comes to a predetermined level, it alerts message to Municipal Corporation about the need to change the storage well using IOT. The Municipal Corporation will replace the storage well with a new one with the help of towing equipment. Thereby, eliminates the involvement of humans in the sedimentation process.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:57Z
      DOI: 10.1063/5.0074220
       
  • On a new generalization of weighted Weibull distribution and its
           applications

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      Authors: Bindu Krishnan
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The concept of Weighted distributions has achieved much popularity in the literature of probability distributions. This distribution occurs commonly in studies related to reliability, survival analysis, biomedicine, ecology and several other areas. In this study, a new class of weighted Weibull distribution is introduced and studied. Various sub models obtained from the new distribution are discussed. The plots of probability density function and distribution function for different values of parameters are shown graphically. The structural properties such as hazard function, reverse hazard function, moments, random number generation, quantile function, median, Renyi entropy and Shannon entropy are derived. It is also illustrated that the hazard rate function of the new model can be increasing or decreasing for various values of parameters of the model. The mean, variance, skewness and kurtosis for various values of parameters of the new distribution are tabulated. The distribution of order statistics is also obtained. Maximum likelihood estimation procedure for distribution parameters are investigated. The effectiveness of this new model is demonstrated by means of a real data set, which provides better fit than the class of weighted Weibull distribution and the class of weighted exponential distribution. Finally, an autoregressive minification process for the new model is developed. The new model will serve as a good alternative to other models available in the literature for modeling positive real data in several areas.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:56Z
      DOI: 10.1063/5.0074462
       
  • Detection of bridging fault using reduced ordered binary decision diagram

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      Authors: R. Indra Priyadharshini, Priscilla Packia Slacer, A. Benila, M. Mercy Theresa, P. Pattunna Rajam
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      In all digital circuits, testing place an vital role to get a fault free output. Digital circuit can be classified into Combinational and Sequential circuits. Detection of fault is more difficult in Sequential circuits than Combinational circuits. There are various types of fault such as transition fault, delay fault and bridging fault. The bridging fault is divided into feedback bridging fault and non-feedback bridging fault. In the existing system, testing of bridging fault covers only non- feedback fault that causes Oscillations which is difficult to detect the fault. In the proposed scheme, to overcome the issue in the existing system two Algorithms are used which are applied for both feedback bridging fault and non-feedback bridging fault. One is Cone Partitioning technique which is used to divide the circuit into number of sub- circuits and other one is Reduced Ordered Binary Decision Diagram (ROBBD) to generate the test pattern. Various parameters such as Fault coverage, area overhead and delay latency during testing are discussed.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:55Z
      DOI: 10.1063/5.0074221
       
  • Learning management system empowered by machine learning

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      Authors: Md. Alimul Haque, Deepa Sonal, Shameemul Haque, Moidur Rahman, Kailash Kumar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Using a Learning Management System to generate, share, monitor, and maintain various kinds of education and creation content has proven a milestone in improving online learning. Since the first Learning Management System (LMS) emerged, significant technical developments made this platform a vital technology for curriculum management, rich content management, appraisal and assessment, and complex cooperation. The future expects several improvements in its development, processes, and execution, with many emerging fields of the study exploring different innovations relevant to the LMS. Online learning has been on the increase globally due to the rapid growth in technology in education. The 2019 Coronavirus disease (COVID-19) pandemic has implemented online classes for students in all colleges and universities. However, students are unknown about their ability to consider online learning. This paper presents how machine learning could support the Learning Management System's controlling to resolve student's feedback and queries associated with technical issues and problems when they have engaged in online classes. In this paper, a web-based online survey is conducted. Two hundred fifteen (215) students who have enrolled in various streams of Ph.D., Master, and Bachelor level programs in Colleges and University of Asian countries participated in this survey. Based on students' feedback, results are analyzed. A detailed analysis of possible solutions or suggestions is stated and proposed a Machine Learning-based LMS Model to handle students' problems and challenges efficiently during the online classes.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:54Z
      DOI: 10.1063/5.0074278
       
  • Implementation of revised group technology approach in modern industries
           using hybridized ART algorithm

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      Authors: S. Sathish, C. Bhagyanathan, P. Karuppuswamy, J. Baskaran, Sundaraselvan
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Cell generation includes the process like examining parts or machine populations, then based on similar manufacturing path or design features grouping those parts into one group and finally forming these machines into cells. One of the significant parameter measured in the cell generation or formation system is the Grouping Efficiency (GE). A few specialists have demonstrated that ART has been utilized to illuminate and investigations the cell arrangement issue for limiting the level and to expand the grouping efficiency (GE). In this paper, ART has been utilized to improve the efficiency of the system by combining with MOD and SLC. In order to calculate the actual manufacturing time delay in cell formation, four clustering algorithms based on arrays namely clustering methods like Single linkage (SLC), Modified Single linkage (MOD-SLC), Direct (DCA) and Rank order clustering (ROC-2) are commonly used. In the present research work, ART with Modified-Single Linkage Clustering (ART-MOD-SLC) method is performed most efficient than other methods. The operation of the proposed model executed with the actual period experimental and highlighted as performance graphs.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:53Z
      DOI: 10.1063/5.0074158
       
  • A novel multiple-input cascaded DC-DC converter for hybrid power system

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      Authors: G. Meghana, K. Jaiganesh
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Hybrid Renewable Energy System (HRES) technology is increasing day by day due to its less environmental impact and low running cost. Wind energy and solar energy combined together makes a perfect hybrid energy system for the generation of electrical energy. Now-a-days small wind turbines are used widely for micro generation of electricity. These small wind turbines generate limited power therefore multiple turbines are connected together to produce useful amount of power. In addition to wind, solar energy is added to the system to attain the continuity in the supply and improve the efficiency and reliability at the output side. In this paper, the output power from the hybrid energy system i.e.; from both very small series connected wind turbines and the solar PV panel is connected together. The entire power sent through a non-isolated multiple input DC-DC converter. The output power from the converter is fed to the three phase inverter and the converted output AC power is given to the grid.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:52Z
      DOI: 10.1063/5.0074950
       
  • An empirical study on influential factor of investors’ investment
           towards futures and options trading in India

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      Authors: S. Umamaheswari, Abijhit Anand, N. Nithya
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The investor’s understanding about their investment towards various avenues have been changed in past few decades. The investor in the early days use to invest in fixed deposits and recurring deposits and later when the mutual funds were introduced many investors referred mutual funds because there turn was comparatively higher than Fixed deposit and Recurring deposit,later when the investors were looking for higher return than mutual funds, they started investing in stock market. Many of the investors were ready to take risk for higher return. Even though the risk-taking behavior have significant difference between different age group. The investors started investing in options and futures for different purpose, namely for risk management, for high return, arbitrage etc. even though the investors lack knowledge in derivatives they tend to take decision through friends or brokers. But different age groups of people have effect of different key factors on their investment to the stock market. Therefore, this study is required to understand the influential factors of investors’ investment, awareness and risk towards options and futures trading in India. The result of the study determined that there is association among the demographic profile of the respondents, risk, awareness, and key factors of investment towards futures and options trading in Indian stock market.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:51Z
      DOI: 10.1063/5.0075127
       
  • Relevance of modernized financial payments and its impact on profitability
           of companies – An Indian overview

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      Authors: R. Rupashree, K. Opika, Bijin Philip
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Digitalization has led to enormous changes that are to be adopted by each individual person in this millennium world. One such transformational change adopted by individual is the usage of mobile wallets or e-wallets which has become a mode of payment for financial transactions. The initiative undertaken by the government of India is also one of the reasons for this major change. Digital payments or mobile payments have been the most substantial reforms in financial sector. This paper aims to understand the convention of e-wallet by individual for their financial payments. The paper also aims in analyzing the profitability made by the digital payment app companies during the current pandemic situation with regard to factors like inflation, GDP etc. In order to conduct the study the researchers have carried out a primary study using questionnaire consisting of 100 respondents and also have collected secondary data from various sources for the purpose of testing hypothesis. From the research done it was found that majority of the respondents have transformed to use digital wallets as a payment tool and that it has some spike relationship with the current pandemic situation with the help of various sources and analysis it is also found that the profitability of the companies has increased to a certain extend due to increase in usage of digital payments by individuals.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:50Z
      DOI: 10.1063/5.0074159
       
  • Tensile behavior of friction stirs welded (Aa6061-T6 & Aa5083- H111)
           dissimilar aluminum alloy joints using response surface methodology

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      Authors: G. Elatharasan, R. Manikandan, G. Karthikeyan, S. Thulasi
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The Coherent (AA6061-T6 and AA5083-H111) aluminum alloys were carried out using solid-state friction stir welding techniques and the welding parameters were improved using the response surface method by the design of experiment. Tests were conducted based on a five-level, four-parameter, and 31-run central composite design. Friction welding parameters such as rotational rate, translational rate, and tool pin geometry and applied load significantly affect the mechanical properties of friction welded joints. Mathematical regression models are developed at a 95 % confidence level to evaluate the maximized tensile strength and % of elongation of dissimilar joints and validated using the conformity of experiments. Pin profiles are analyzed in detail for different process parameters induced in material flow distributions and tensile properties of different welding joints. The fabricated joints of the defect-free weld, highest tensile strength and maximum tensile elongation were achieved by cylindrical threaded profile, whereas the hexagonal profile prompts the lowest tensile strength and tensile elongation. The regression analysis of the developed mathematical model good agreed with the test results. Mathematical results can be useful to understand the effect of optimal parameters, to create joints with adequate mechanical properties, and to automate the friction welding process.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:49Z
      DOI: 10.1063/5.0074150
       
  • A study on effect of primary and secondary reinforcements in hybrid metal
           matrix composite

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      Authors: Praveen Raj, B. Deepanraj, N. Senthilkumar, T. Tamizharasan
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      In this work, the influence of variation in volume fractions of silicon carbide (SiC) particles and boron carbide (B4C) particles reinforced in 99.8% pure aluminum matrix mixed with 2% graphite (Gr) is studied. Three different proportions of hybrid aluminium metal matrix composite (HAMMC) are casted using the stir casting technique. The effect of percentile variation of reinforcing particulate materials and solid lubricant are evaluated by compression test, tensile test, micro-hardness, impact test and wear as per ASTM standards. The distribution of reinforced particulates in the matrix is studied with the help of optical micrographs, which show the homogenous distribution of ceramic particulates inside the aluminium matrix. With the higher addition of B4C particles, compressive strength, tensile strength, energy absorption characteristics and micro-hardness tends to increase due to the formation of Mg2Si phase.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:49Z
      DOI: 10.1063/5.0074151
       
  • Searching resources in peer-to-peer network using friend and path result -
           Sharing searching concepts

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      Authors: S. Anbu, P. Veeralakshmi, S. Sowmiya, R. K. Kapilavani, K. Nattar Kannan
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      A new searching technique is proposed in this paper for unstructured Peer-to- Peer file sharing system which uses the search path result sharing concept and also uses the friend concept. As per this new concepts, a friend set or groups are formed by joining the closely neighbor nodes in the unstructured peer to peer network system. Many friend sets can be formed and each friend set has one Head node, heading all other nodes. This head node is not a centralized node and just maintains a list of all other nodes in that friend set and their meta data in its own table. The friend set can be formed within certain radius and the head node contains the IP addresses of all nodes in own friend group or friend set. The search radius is seven hop count distance. Since the head node contains the meta data of all nodes in its friend set, it knows which resource or file is available in which node in its own group. Whenever a source node finds a resource by sending queries, it stores that path information of that resource in its own path table and also shares that path information with all other nodes in its friend set and head node. When searching, if the source node itself has the searching resource, it will directly display that resource or file to user so that he can use it or if at least it has that path information of that resource in its own path table, it will take that path information from the table and display that link on the screen so that user download it. If not, it will route the query messages only to all head nodes in the network simultaneously. The head nodes, send query to all nodes in its own set and will response to the source node on behalf of all other nodes in their own set. Inside the network, the generation of query messages is greatly reduced. Similarly, as far as reply is concerned, the head node bundled all the reply messages belong to its set and send to source as a single response message. Thus the response message going back to source is also reduced. But if a head node fails due to some reasons, the entire set of nodes in that friend set cannot be searched. So this algorithm uses dynamic search algorithm to search the uncovered nodes. The main advantage of this algorithm is all nodes in friend set gets information about resources from their friend nodes without searching. This algorithm also reduces the search time, search cost and bandwidth consumption. This algorithm achieved 75 % reduction of query messages, 50 % reduction of response messages, 50 % reduction in bandwidth and 50 % reduction in search cost.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:47Z
      DOI: 10.1063/5.0079724
       
  • Experimental investigation of force transmissibility for ferrous and
           non-ferrous materials

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      Authors: Ankit Gupta, Rajeev Sharma, Rajnish Katarne
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Vibration is deviation of a body about its mean position during motion. Vibration is not required in some work while for some work, it is useful, but it always there when machine is in running condition. Damping of machine is required to overcome the force transmissibility and reduction of vibration energy. The aim of this research is to analyze the isolation characteristics of various materials by experimentation. The experiment results give the brief idea about maximum transmissibility among different materials and conclude the comparison among the transmissibility of all the materials.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:46Z
      DOI: 10.1063/5.0074152
       
  • MRMR-GWICA: A hybrid gene selection and ensemble clustering framework for
           breast cancer gene expression data

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      Authors: D. Karthik, K. Kalaiselvi
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Microarray or gene expression profiling is conducted in a single experiment with different types of cells or tissue samples to evaluate and compare the extent of gene expression. The role of classifying the sample in question is more promising as the microarray dataset is disrupted due to the dimensional component, with a limited number of samples together with incorrect and noise genes. This is most important for the screening and diagnosis of a sample of breast cancer. The method of gene selection is currently being formulated to classify a few numbers of significant genes that are correlated with the extremely predictive process in the classification field. To carry out this method, a revolutionary genetic selection algorithm, namely the minimal Redundancy Maximal Significance (mRMR), is devised and integrated with the Gene Weight Imperialist Competitive Algorithm (GWICA), mRMR-GWICA, to classify insightful genes from the microarray-containing profile. The ground-breaking approach relies on the parallel Progressive Inductive Subspace Ensemble Clustering (PPISEC) algorithm to measure the precision of the classification of the known genes. PPISEC-WICA algorithm has three key steps: Improved Support Vector Machine (ISVM) classifier and Incremental Ensemble Member Chosen (IEMC) by GWICA are used to pick the centroid values and to execute the gene expression data clustering a structured cut algorithm is suggested. Experimental findings reveal that the formulated PPISEC system performs well on data containing the expression of the gene for breast cancer relative to conventional clustering ensemble approaches. This design is applied in a dataset comprising the gene expression dataset (GSE45827) which is collected from breast-cancer-gene-expression-cumida. The outputs of the clustering method are determined based on certain metrics such as precision, recall, f-measurement, accuracy, Adjusted Rand Index (ARI), and Normalized Mutual Information (NMI). The clustering design is implemented by implementing the MATLAB simulation environment in the R2014a edition.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:46Z
      DOI: 10.1063/5.0074273
       
  • Formal verification of a 4 bit counter using Kami verification flow

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      Authors: V. Uma, Ramalatha Marimuthu, Jamey Hicks
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The formal methods have been used as an alternative technique in most recent years to establish the quality and correctness of the hardware designs. The formal hardware verification research has made its substantial betterment in evolving methodologies and tools that try to subsist with the enlarged intricacies in digital systems. In this regard, verifying the functional & hardware programming languages in proof assistants using mathematical verification has become customary in programming-languages research. In this paper, using Kami, a Coq library, we try to verify formally a simple 4 bit counter to endow identical expressive and modular reasoning expressed in the style of Bluespec (BSV) language. Eventually, it is easy to provide Specification, Implementation and Verification absolutely within Coq, finishing with automatic extraction into a pipeline that hits the ground in FPGAs. Here we used bsv to Kami conversion (bsvtokami) for implementation, then proposed the specification and verification in Kami.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:45Z
      DOI: 10.1063/5.0074153
       
  • Preventing collaborative attacks against on demand routing using
           recommendation based trust framework in MANET

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      Authors: S. Sowmya, K. Nattar Kannan, S. Anbu, P. Veeralakshmi, R. K. Kapilavani
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Trust is becoming an important aspect to assess one's behaviour in today's world. Like the real-time, trustworthiness is becoming a very challenging issue in the area of mobile ad hoc networks (manet). Presence of dynamic topology environment, mobile nodes in manet easily move from one place to another. Routing packets can happen efficiently only if there is cooperation among the mobile nodes. Cooperation can exist only if there is trust among the nodes. Hence trust helps to identify and prevent misbehaving nodes in the network. Being open and having lack of central authority, manet is so vulnerable to collaborative attacks imposed by malicious nodes and thus leading to packet dropping and performance degradation of the network. Therefore, a recommendation based trust framework is proposed to defend against the collaborative attacks and determine the trustworthiness of the mobile nodes.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:45Z
      DOI: 10.1063/5.0079725
       
  • A comprehensive review on fabrication techniques and corrosion behavior on
           metal matrix composites

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      Authors: R. Ashok Kumar, D. Ayyappan, S. Arunkumar, Gowtham Devanand, K. Dasari, Naga Sai Srivatsav, S. Dhamodharan
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The contemporary review focuses on the fabrication method of Aluminium Metal Matrix Composites (AMMCs) and their corrosion behavior due to the addition of appropriate reinforcements. The intention is to review the literature on the numerous fabrication methods for concocting the AMMCs materials by combining alloys and reinforcements. Some of the conventional reinforcements like SiC. Al2O3, B4C, TiC, ZrO2, etc. But now day solid waste is also used as reinforcements like fly ash, Rice Husk Ash (RHA), Bagasse Ash (BA), Neem Leaf Ash (NLA), Coconut Shell Ash (CSA), Red Mud (RM), etc. The review also concentrates on comparing the corrosion rate of AMMCs with diverse testing methods.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:44Z
      DOI: 10.1063/5.0074274
       
  • A comparative study of plate-fin and tube-fin heat exchangers based on
           thermal data experimentally collected from an air-conditioning unit

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      Authors: KaziShehbaz Abdul Rashid, KaziZeeshan Rashid, Mohammed Nizamuddin Inamdar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Compact heat exchangers are commonly used for many refrigerating and air-conditioning applications due to features like high performance and less space consumption. The objective of this paper is to provide an overview of the salient features of tube-fin and plate-fin compact heat exchangers and hint at conditions when to select either of them as per the application demand. A sample air-conditioning unit of heat capacity 2.63kW is used to perform an experiment in order to collect 40 sample readings. These readings are used to develop the system's Pressure-Enthalpy chart to calculate the condensing heat load, and then only the condenser is redesigned from tube-fin to plate-fin configuration. The final result in terms of the sizes and weights of both the condensers are compared and the conclusion is derived. The pressure loss in the tube-fin condenser is determined using Lockhart-Martinelli and Geary's equations, which are validated against a renowned air-cooler design software- Unilab Coils. During the design of the new proposed plate-fin condenser, suitable correlations are used to find the heat transfer and pressure loss coefficients. These coefficient values are also verified against another popular software named Aspen EDR which falls within an acceptable range. The results of this comparative study could not be generalized, as it requires more investigation to be conducted over wide heat load capacities, however, it proves salient features of studied heat exchanger types. It also improves the decision-making capability of thermal engineers or related field practitioners on the type of selection of exchangers for certain applications.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:44Z
      DOI: 10.1063/5.0074395
       
  • Multi-layer multi-kernel learning based speaker recognition in the
           cocktail party problem

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      Authors: Khatik Ramjan Ahamad, S. M. Shashidhar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Deep Learning methods have penetrated its applications in various engineering problems. Speaker recognition problems are used for recognizing the speaker in the audio file that has different speakers in the sound file. Considering the complex nature of the speaker recognition problem, a deep leaning method is adopted in the solutions. This paper implements Multi-Layer Multi-Kernel Learning on the speaker recognition implementation with the Cocktail party problem. Spectrogram based methods have the binary mask as the benchmark method. The deep learning method is used to train the binary mask for online prediction. MATLAB based implementation is developed to obtain the classification between speakers in the cocktail party. The performance is compared with the previous deep learning method and results are tabulated.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:43Z
      DOI: 10.1063/5.0074154
       
  • Talent frameworks in software industry: A case study

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      Authors: Prashant Vithal Kadam
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The IT and ITeS industry has made significant contribution in the GDP of India. The number of software firms has been on the rise. The competitiveness of the firms however has been revolving around its various programs and strategies designed to not only retain the talents, but also contribute towards the organizational goals. The net impact has been a rise in the employee cost, offering a host of benefits to its associates in terms of training and incentives. Various firms have adopted the different talent retention, its quality improvement by following various methods and strategies of HR. The paper has analyzed the measures adopted by the software firms by using SPSS and other statistical tools. The study has found that the measures adopted by the firms have become much more mechanical and routine in nature. There is a need to rethink and re-structure the existing talent retention measures if the firms have to really be competitive and successful.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:42Z
      DOI: 10.1063/5.0074275
       
  • A comparative performance analysis and luminous characteristics of
           different commercial LED lighting systems

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      Authors: S. Hemalatha, G. Kalapriyadharshni, M. J. Murali, R. Harish, A. S. Valarmathy
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      In developing countries, the conventional incandescent lamps and CFLs are totally replaced by LED lights. The LED lights assure 80% energy conservation over incandescent lamps and CFLs. But there is lack of standardization between local and imported lights. Therefore, this paper made an experimental investigation of twelve number of LED lights with each two numbers of 10W, 15W,45W, 50W,70W and 80W to offer a solution for energy efficiency. The study comprises measurements of power characteristics such as real power, apparent power, reactive power, eventual power factor and photo characteristics such as lux and the luminous intensity measurement for the twelve different local and imported samples. Hardware with power meter is developed to measure the power and photo characteristics of different type of lights for comparative analysis. The experimental results disclosethat there were a large difference in real power, lux and initial harmonics are also high in non- branded imported lights and this paper recommends a strict pre-emptive regulation to make unnecessary and harmful effects on electrical network.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:42Z
      DOI: 10.1063/5.0079719
       
  • Corporate social responsibility measurement: A scale development
           initiative concerning iron and steel industry

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      Authors: Deepali Dandwani, Rashmi Vaishaya
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Corporate Social Responsibility is a vital element in today’s era. For the fruitful running of any organization, the company needs to have an excellent CSR policy. GPIL (Godavari Power Ispat Ltd.), HIRA Group, and JayswalNeco Ltd. are among significant mining private industries in Chhattisgarh. The research study is done to know the CSR initiatives taken by GPIL and JayswalNeco to know the future CSR scenario. The data collection method used for the research was primary data. It was revealed from the study that selected organizations believed in the concept of change. It is well said that “change is constant”. Its prospects are to upgrade the existing technology, embrace new technology, motivate the personnel, and uplift the areas around. It was observed that selected organizations have sound CSR policies for the betterment of the stakeholders. This research also found that selected iron and steel industries limited pay more attention to infrastructure development by imparting education and providing medical facilities. These scale development tools here determine the companies’ concern regarding its stakeholders regarding CSR initiatives practiced by the companies in the state of Chhattisgarh. The iron and Steel industry is most productive and contributive in developing the economy of Chhattisgarh state. The sample was selected for this research. The sample identified was a society where both companies are operating and executing the Company’s CSR initiatives for society beneficiaries. The Measure of Corporate Social Responsibility instrument comprises education, Health, Sports, Environment, Art and culture, Gender equality and Women empowerment, Livelihood enhancement, Rural development.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:41Z
      DOI: 10.1063/5.0074827
       
  • Influence of psychological capital on organizational commitment in higher
           education institutions

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      Authors: K. Durai, R. Viji, S. Sakthivelrani
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      psychological capital is widely studied across different sectors of business. This research was conducted with the objective of finding out the relationship between psychological capital and organisational commitment. The four dimensions of psychological capital (hero) namely hope, self-efficacy, resilience and optimism were tested for its influence on different dimensions of organisational commitment namely affective, continuance and normative commitment. Measurement model was performed to test the model fit and the model fit indices have conformed the factor structure. Psychological capital scale with 10 variables is accepted and considered for further study. It is found that there is significant relationship psychological capital and organisational commitment. Self-efficacy is not related with affective commitment. There is negative relationship between optimism with continuance and normative commitment.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:40Z
      DOI: 10.1063/5.0074288
       
  • Nonlinear analysis of Howland current source using describing function and
           simulation

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      Authors: Soumyendu Bhattacharjee, Aishwarya Banerjee, Soumilk Basu, Indranath Sarkar, Biswarup Neogi
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Over the last thirty years, instead of magnetic stimulation, electrical stimulation is preferred and has often been used as an investigation tool to find any disorder of cardiovascular system due to its less complexity and minimum cost. Now it is very much popular in biomedical domain as the side effects are very low in case of electrical stimulation. Howland current source (HCS) is one of the most popular electronics instrument among the countless device has been designed to provide electrical stimulation because of its high stability and simplicity. In control system based industries, generally the plant usually taken as a second or more than second order and that is why they use PID controller to improve the system response. In reality HCS is also found as a higher order system. Here in this work, initially a technique is applied to reduce the order of HCS and Smith predictor model has also been used to improve the output response. But the response of HCS does not give satisfactory result according to our wishes. So major intention of this work is not only to reduce the system order in ‘linear domain’ rather the nonlinearity of the device has also been analysed using describing function to get exact response and the corresponding simulation result ensures the better response characteristics for the overall design.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:40Z
      DOI: 10.1063/5.0074168
       
  • Infection detection in older person using artificial intelligence

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      Authors: Shiek Saidhbi, AhmedAdem Endris, S. Deepajothi, R. Juliana, Pravin R. Kshirsagar, Anand Mohan
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Artificial intelligence is programmed to copy the cognitive functions of human beings. It introduces a paradigm shift to health care, enabled by the growing availability of health data and rapid developments in analytical technology. Pneumonia is a disease that affects life due to bacterial or viral infections of the lungs. It can be life-threatening if not made at the correct time, and it is therefore important to diagnose early pneumonia. It is also one of the most dangerous babies and children’s diseases, for people older than 65 and people with health conditions or poor immune systems. The paper introduces a distinctive approach between healthy and patient pneumonia and distinguishes them by presenting signals that help picture-based approaches for diagnostic diseases among viral pneumonia and bacterial pneumonia.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:39Z
      DOI: 10.1063/5.0074169
       
  • Transient numerical simulation of a butt weld joint for optimization of
           process parameters

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      Authors: Dinesh V. Burande, Kanak Kalita, Ankur Bansod, Eshan Dhar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Numerical simulations of various welding process have been investigated by researchers in the past few decades with the advent of faster computation power becoming more and more assessable. Since the welding process involves high temperatures, a coupled thermal- structural simulation becomes imperative for analyzing the post welding effects like residual stresses etc. This paper investigates various approaches, including element types, solver settings etc. and correlates the results with experimental data. The analysis of transient thermo- structural simulation was carried out for butt weld of structural steel material and both temperature and strain fields were calculated for various heat inputs and heat input rates. These results were used for a parametric study for optimization of process parameters using inbuilt optimizer.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:38Z
      DOI: 10.1063/5.0074965
       
  • Optimized muffler design for less pollution engines

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      Authors: G. Sathi, B. Narendhiran, M. Selvakumar, T. Surulivelrajan, S. Kathiresan
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      In a vehicle, the main function of a muffler is to reduce the noise of the engine. To achieve attenuation and back pressure goals, an automotive muffler is designed and altered. The exhaust system today is designed to provide minimal noise, emissions, maximum reliability, packaging, protection, flow speeds, lower system constraints, compatibility with high temperatures, and resistance to corrosion, ease of servicing and most economic. In addition to its vehicle interface, the exhaust system has various characteristics, including vibration, acoustics, thermal distribution and reliability, flow and power loss. In this study, the car muffler is used for the vibration study, in which the frequency of total deformation and stress is studied. In a car, reducing the noise of the engine is the key purpose of a muffler. An automotive muffler is designed and adjusted to accomplish attenuation and back pressure objectives. Today's exhaust system is engineered to provide minimal noise, emissions, optimum reliability, packaging, safety, flow speeds, reduced system limitations, high temperature compatibility, corrosion resistance, and ease of serviceability.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:38Z
      DOI: 10.1063/5.0075813
       
  • Artificial intelligence based humanoid robot for Covid-19 disinfection

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      Authors: Arvind K. Sharma, Rupak Sharma, Pankaj Saxena, Anand Mohan, Ashim Bora, Pravin R. Kshirsagar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The Latest emergency issues are impacting the world as a result of the new 2019 corona virus rise and pandemic. It has spread to the worldwide and afflicted people to Covid-19. The virus transmitting has regarded as being transmitted by individuals who find it a convenient disease explosion. While coughing and sneezing the infection spreads from the infectious droplets. Although in the air, these droplets will still survive and transfer the virus on to humans. In worldwide, robots have been used to alleviate the proliferation of new corona virus infections, COVID-19 with food preservation, food supplies, sanitation tasks, spraying disinfectant, temperature monitoring, hand sanitizers distributing, work on sensitizing, etc. For fast strategizing, that are considered hazardous for human beings. This paper discuss the difficulties and opportunities associated with using humanoid robots to minimize the risk of spread of COVID-19 in.public healthcare. The primary application of humanoid robots is the minimization of individual interaction in public places, and the provision of containment to hygiene, disinfectants and helping. The following discussion aims to underline the value of humanoid robot's purposes in specific and to link their use as the COVID-19 perspectives. Throughout the testing, review and diagnosis of a vulnerability and for subset of events, artificial intelligence plays a crucial role. It may be used during potential for the forecast of events but also to record the number of alternative cases, restored instances and deaths. Technology based on artificial intelligence is being used to provide outstanding services such as the detection and substitution of drugs for the care of employees by robotics for the provision of prescriptions and nutrition in clinics. It also disinfects the substances in response to the spread of Covid-19.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:37Z
      DOI: 10.1063/5.0074161
       
  • Analysis of flow through a diesel particulate filter with circular
           monolith using CFD

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      Authors: T. Vinithra Banu, T. Vijayaraj, G. Ramalingam, V. Janakiraman, P. Vijayaraghavan
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Diesel particulate filter (DPF) is one of the prominent after-treatment devices invented to reduce particulate matter (PM) emission from diesel engines. The emission standards are becoming more and more stringent in order to maintain the environment sustainability. Diesel engine is one of the main sources of pollution and is considered as the major contributors of NOx and particulate matter emission. However, one consoling factor is that HC and CO emissions are well below acceptable level. As particulate matters (PM) are more dangerous to human health, the regulation for PM emission is becoming more and more stringent. Therefore, automobile manufacturers have started looking for alternative techniques to control NO x as well as PM emissions. After-treatment systems such as Diesel Particulate Filters (DPF) have become essential to satisfy BS VI regulations. However, DPF, have a negative impact on fuel efficiency since it induces back pressure to the exhaust systems. Further, there is a need for active regeneration systems, which takes away energy to burn away the collected soot.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:37Z
      DOI: 10.1063/5.0074160
       
  • Flow analysis of secondary air injection in conical rocket nozzle

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      Authors: Chidambaranathan Bibin, S. Senthil Kumar, N. Aravindhan, S. Gopinath, Raghavan Sheeja, M. Ramachandran
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      CFO analysis is an essential tool in the design and development of a conical rocket nozzle. Grid generation plays a crucial and time-consuming role in any cod analysis. In this work, cod analysis of conical rocket nozzle has been carried out using fluent software. The three-dimensional hybrid grid has been generated using gambit software. The effects of the injection of the secondary jet on the flow field of secondary gas injection for thrust vector control (sit) were numerically investigated. Three-dimensionalReynolds-average navies-stokes equation with an algebraic turbulence model solved the complex three-dimensional nozzle flows perturbed by the secondary gas jet. Parameters such as mach number and nondimensionalised radial distance has been estimated and compared with experimental measurements. Flow dynamics and contours with different parameters have been analysed and published. Of the various ways in which the deflection can be performed, tic has been successfully applied primarily to reliable engines employing secondary injection of matter, including secondary gas injection for the regulation of the thrust vector (sit) into the thrust chamber nozzle. On the other side, sit is regulated by flow management and does not require moving components. Overall, cod predictions were found to be in close agreement with the experimental results.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:36Z
      DOI: 10.1063/5.0074284
       
  • Autonomous object recognition and collision avoidance for micro aerial
           vehicles with effective and cost-efficient sensor

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      Authors: S. Shiyamala, G. Bhuvaneshwaran, Chejerla Om Prakash Reddy
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The sensors that are used for object range detection are stereo vision camera, radar, laser scanner, sonar, liar etc. provides precise results with long range accuracy but they are not easily affordable. This project demonstrates novel obstacle detection and avoidances system guided by cheap and eases available sensors for (mats) quad rotor, therefore mass is capable fully autonomous maneuvers in unknown environment. The sensors exploited with economical sensors like ultrasonic sensor against costlier liar, laser range finders, which provides budgetary and efficient obstacle avoidance system. Algorithm for such a system, and effective noise filters are implemented to obtain best results from the sensors, therefore the data from the sensors are processed by a processing unit and commands the flight control unit for navigation control.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:36Z
      DOI: 10.1063/5.0074162
       
  • A novel method for mobile cloud computing security system

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      Authors: P. V. Naveen, K. Kalaiselvi
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      In the recent era, usage of mobile device is increasing rapidly. People are enjoying the services provided in the mobile device and mobile applications. Cloud services can incredibly upgrade the computing capability of portable gadgets so the mobile applications are depending on the cloud to provide the operation like machine learning algorithms of data mining, big data, multimedia and ad hoc network. There are many issues and challenges while providing mobile services such as security and protection are major concern to give more attention. The perspective of this article is to explore the difficulties in mobile computing architectures and to evaluate the applicability of current security systems and to achieve solution toward it. There are three phases as the new architectural data service mechanism is proposed in the first phase. Time and Identity based proxy re-encryption with all or nothing transform scheme (TIB-PRE-AONT) efficiently achieved both of the secrecy and access control of data, secondly Cipher text policy attribute based encryption (CP-ABE) access control scheme is used and implement with k medoid clustering algorithm. Thirdis an Efficient and Optimal Fixed-Length Ciphertext-Policy Attribute-Based Encryption used for security with fuzzy clustering based Data Encryption Strategy for Big Data in Mobile Cloud Computing as a scheme, which used Whale Optimization Algorithm (BS-WOA) is used for the security key. The efficiency of the proposed methods proved from the comparison analysis results.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:35Z
      DOI: 10.1063/5.0075132
       
  • Computation of liquid crystal refractive index from the envelopes of
           optical textures

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      Authors: G. V. Vijayabhaskara Rao, T. Subbarao, Sk. Suriya shihab, K. Mallika
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      In this paper, refractive index of liquid crystals is computed from the transmitted envelopes of optical textures. At various temperatures, Refractive index of the samples is computed as a function of wavelength. Nematic liquid crystals: p-n alkyl benzoic acids (nBA, where n = 6, 8) are considered for this study. This study involves the conversion of optical textures into HSI (Hue, Saturation and Intensity) format and creation of upper and lower envelopes for the transmitted intensity of the optical textures. Optical textures of the liquid crystals are recorded from the crossed polarized components. A computational tool MATLAB is used for the analysis of liquid crystal textures. The obtained results show that, Refractive indices of NLCs decrease with increasing wavelength and temperature.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:34Z
      DOI: 10.1063/5.0074287
       
  • An enhanced object detection techniques to track an intruder in the forest
           using IoT

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      Authors: M. Sakthi vanitha, S. Saradha
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Green Revolution leads to an important factor in the mobile digitalization world. The main objective of this proposed work to protect the forest living being such as trees, animals, and bird, etc.; the protection includes deforestation, safety, and security of the animals, birds, etc.; due to the vast increase of population, forest changes into cities which affected directly or indirectly affects animals, bird. This proposed work mainly focused on protecting the animal, bird, and trees form the human being. This paper describes an enhanced object detection technique to find the forest’s intruder with a built sensor in the camera. It’s connected with SIM 800a Module to send the alert message to the appropriate authorized person. This paper provides an effective result in enhanced object detection techniques to track an intruder in the forest with IoT.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:34Z
      DOI: 10.1063/5.0075133
       
  • An approach for smart city applications using artificial intelligence

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      Authors: A. Narasima Venkatesh, Vani A., Mohd Naved, Awab Habib Fakih, Pravin Ramdas Kshirsagar, P. Vijayakumar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Sustainable construction of urban smart cities can be strongly promoted by artificial intelligence. The different rising areas of AI have helped to turn traditional cities into smart cities with high levels of equipment. AI algorithms allow large volumes of data to be processed and patterns and functions which remain undetected by conventional approaches to be detected. Given the lack of confidence of engineers is generally transparent AI processes; application of the AI algorithms to smart monitoring is still limited. The management of waste is one of the biggest challenges facing the world regardless of developed countries or developing countries. This paper presents and analyzes the effect and insights on the implementation of artificial intelligence as creative approaches for production and deployment of smart city projects. The population rise has led to a significant deterioration in the hygiene situation of the waste management system. The goal of this article is to establish an efficient waste management system conceptual framework by applying artificial intelligence (AI) that could evaluate an acceptable technology for the implementation of waste products.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:32Z
      DOI: 10.1063/5.0074166
       
  • Flow seperation control in leading edge of aerofoil using plasma actuators

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      Authors: V. Janakiraman, P. Vijayaraghavan, T. Vinithra banu, T. Vijayaraj, G. Ramalingam
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The present study focuses on improving the efficiency of an aerodynamic aerofoil by using a plasma actuator to minimize the introduction of flow separation around the leading edge. Methods that use small devices that require extra energy to change the flow are called methods of active flow control l. From this point of view, the use of flow control plasma actuators is a good alternative to encouraging the alteration of the boundary layer profile. For aerodynamic applications, the absence of moving parts and the simple use of power can be interesting features. The actuation was developed with a plasma sheet system (PSD) consisting of two flush bare electrodes mounted on the wing profile's leading edge surface to obtain a discharge in the inter-electrode space contouring the body. Following the aerofoil leading edge curvature and running over 90% of the span, it is worked to achieve a discharge. By applying momentum tangentially to the wall to the boundary layer, the surface dielectric barrier discharge is used to change velocity close to the leading edge. The various angle of attack and flow separation outcomes to be performed should be checked later in the wind tunnel.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:31Z
      DOI: 10.1063/5.0074376
       
  • Critical success factors and perceptions of stake holders to Lean-Agile
           adoption in construction projects (LACP)

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      Authors: Vijayeta Malla, Prasad K. V.
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The rapidly fluctuating scope alterations from owners and optimized / value added project operations from contractors, oblige the Built Environment to adopt hybrid viewpoints. Agile tenets accommodate the ever changing demands through the principles such as rapid iterations, feedback and collaborative working. The Lean tenet facilitates value proposition oriented outcomes through the doctrines such as minimizing wastes, redundancy and promulgation of benchmarking. Over the years, the Built Environment sector's landscape metamorphosed gradually and obligated to adapt contemporary philosophies such as agile and lean from the Information Systems and manufacturing sector. The current study investigates the perceptions of the construction stakeholders when hybrid tenets such as ‘Lean’ and ‘Agile’ are blended. The research process is categorized into two stages, wherein during the first stage through the content analysis of the literature, the critical success factors (CSFs) for Lean-Agile Construction Projects (LACP) are obtained. The second stage comprises of ranking of the CSFs and Analysis of Variance (ANOVA) from 91 respondents through a structured questionnaire survey. The outcomes of this study include identification of 26 CSFs and these factors provide a roadmap for construction professionals and organizations who intend to adopt hybrid Lean-Agile Construction methodologies for their projects. Thus, this study primarily draws the perceptions of the owners, general contractors and academicians on integrating Lean-Agile Construction practice in the construction sector.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:30Z
      DOI: 10.1063/5.0074134
       
  • Smart development in the growth of plants using hydroponics and Internet
           of Things

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      Authors: K. Vijayan, G. Shanthi, K. S. R. Radhika, L. Raja
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      With the total populace approaching 7.5 billion and worldwide success and the longing for more asset serious nourishments rising steeply too unmistakably cultivating necessities to turn out to be progressively profitable. Hydroponics soilless farming. Earthly plants have been developed only based on their foundations and type of minerals present in the earth, or the roots might be upheld by an inactive medium, for example, perlite or rock. To put it plainly, developing plants without soil, rather utilizing a supplement rich answer for convey water and minerals to their underlying foundations is Hydroponics. It's as of now being utilized to build cultivating yields and develop plants in living spaces that wouldn't typically continue them. Hydroponics is a technique for Controlled Environment Agriculture (CEA). Though productivity is increased by implementing Hydroponics, it takes time and man power to constantly monitor a Hydroponic setup. Technological advancements in the field of Embedded Systems and the Internet of Things (IoT) has led to the introduction of techniques and methodologies to automate and remotely monitor an Hydroponic setupConventional farming has many drawbacks like pest or rodent infestation, easy transmission of diseases which considerably affects crop yield. In regular horticulture, soil bolsters a plant's underlying foundations helping it to stay upstanding and furnishes it with the supplements it needs to develop. In hydroponics, plants are misleadingly upheld, and an answer of ionic mixes gives supplements. This encourages an expanded take-up of supplements by plants and furthermore lessens water consumption by up to 60%.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:30Z
      DOI: 10.1063/5.0074135
       
  • Recent advances in photovoltaic cooling and performance improvement of the
           integration of phase change materials based systems: A review

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      Authors: Sachin Prabhakar Badgujar, Cheruku Sandesh Kumar, Hemant Krishnarao Wagh
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      With the evolution and spread of civilization, global energy needs are rising. The rapid decline in fossil fuel supplies and the rise in emissions have led to research on renewable energy sources. Solar energy is abundant and can be renewable, which can easily be converted into electrical energy and thermal energy. Photovoltaic systems can consume up of 80% of the solar radiation incident from either the solar panel, and only a limited fraction of this absorbing radiation emitted is converted to electricity, based on the output of both the photovoltaic, and most of power consumption generates heat of both the photovoltaic. That performance of both the solar cell is reduced significantly once paired with construction materials. Rate of degradation is mainly due to an increase in the heat of both the solar power plate. Changes in temperature are unpleasantly essential also for progression of nature and electricity generation. So many strategies are being attempted to keep temperatures of photovoltaic panels similar to a minimum input value. Various cooling techniques, including such organic & displaced, watercooling, heat pump usage, heat transfer process and solar thermal melting, are examined in detail in the following section. Efficient cooling system is much more successful, however water is still required to substitute for both the benefit in cooling system. The temperatures of the solar cell can be lowered by almost 35.6 deg C. by use of a phase change material method with the photovoltaic display. The heat can indeed be decreased to 16 deg C by using nanotubes and in process of adjusting parameters of both the substance liquid. Electric power capacity can be enhanced by 8 to 10%. Market research reveals that phase change material based photovoltaic cooling technology is not yet used in commercials due to its technical problems, high costs and lack of convenience of dependable working strategies. The revision signifies that phase change materials cooling technique best for photovoltaic systems and further research is needed.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:29Z
      DOI: 10.1063/5.0074810
       
  • Applications of nanostructured materials in heterogeneous catalysis: A
           review

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      Authors: B. Jone Magadelin, S. Ajith Sinthuja, Y. Christabel Shaji
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      In this review, Diversified The key that is available for catalysis with regard to synthetic approaches in nanotechnology A brief survey is provided, and for applications like this Here are some examples of their usefulness. We begin by discussing applications of nano-structured materials for catalysis Well Defined Sizes, With patterns and lyrics along with heterogeneous solid supports for nanocatalysts. And, then of Let's explore functions Finally, we consider applications in heterogeneous catalysis which Plays an important role in field of catalysts. This review is about the nano structure Perspectives on future developments in the field of research and concludes the overview, in practice to dateAchievements will continue to face challenges It also summarizes the detailed set of tasks undertaken in the order.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:29Z
      DOI: 10.1063/5.0074379
       
  • A review on online continuous tool wear monitoring system for machining
           process

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      Authors: R. Manivannan, R. Rajasekar, M. K. Maheswaran
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The highly required development in machining operation business is that the ceaseless application of cutting tool inserts and energy consumption condition state during monitoring system. On considering machine cutting operation ways, the state of tool need to be supervised by either manual operators or by continuous on-line tool inserts condition watching methods to pre-empt harm of each and every machine inserts and piece of work. On-line tool condition watching system is very indispensable in trendy producing industry in evolving needs of cost efficiency and better standards quality. This paper compiles several administering ways for tool condition watching within the conventional method that are practiced.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:28Z
      DOI: 10.1063/5.0074933
       
  • New realization of low area and high-performance Wallace tree multipliers
           using booth recoding unit

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      Authors: Lingala Srinivas, N. Umapathi
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      In this work a novel Wallace Tree multiplier architecture is introduced with the updated Booth coding unit with 2 supplement numbers. The simple algorithm of Booth's recoding involves multiplication adding and moving operations, which allows such multiplier sequential. Multiplication for Wallace tree could be obtained by the recoding algorithm from Booth and the basic Brown adder's series, but much more additives are required to get the right result. In this article, each integrated circuit was configured to concurrently conduct the low field, fewer delays as well as high speed. Each article presents that high-performance multiplier of the Wallace trees with stand algorithms.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:28Z
      DOI: 10.1063/5.0074811
       
  • Congestion free channel allocation for high traffic using MAC in WSN

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      Authors: A. Senthilkumar, R. Manikandan, G. Suresh, S. Lekashri
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Slot Allocation Medium Access Channel (SAMAC), an efficient slot allocating MAC protocol is proposed for predicting the timely channel access for time-critical data operations and also to reduce data congestion. In this scheme the time of non-periodic critical traffic grabs the time slots allotted for the periodic non-critical data traffic. Additionally, Earliest Deadline First (EDF) scheduling algorithm is used to offer efficient channel access in emergency conditions where numerous sensor nodes are prompted concurrently to transmit the periodic time-critical data to the controller. SAMAC protocol is analyzed with the delay in data delivery rates for the time-critical traffic. Simulation analysis is carried out for proving the efficiency of SAMAC in terms of network throughput.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:27Z
      DOI: 10.1063/5.0074370
       
  • Enhancing security in mobile ad hoc networks using non cooperative
           Bayesian game approach

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      Authors: T. Poongothai, K. Jayarajan, P. Santosh Kumar Patra
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      In mobile ad hoc networks, the entire operation is performed with the cooperation of all the nodes in the network. All the nodes of the network are mobile in nature and resource constrained, some nodes may be malicious or selfish. Therefore, cooperation among all the nodes are not guaranteed. This characteristics of network leads to numerous security threats which distrupts the communication activities. The proposed system introduces non cooperative Bayesian game approach to handle this node noncooperation problem. The game model is developed with regular, selfish and malicious nodes which forms the static and dynamic game. The regular and malicious nodes periodically evaluates it neighbors by using belief updating process and update their payoffs. By this method, malicious nodes are identified and their payoff is reduced. The regular nodes are continuosly monitoring the attacker and enhances the security of the system. The simulation results demonstrates that the proposed system increases the throughput and packet delivery ratio and decreases the routing overhead and propagation delay.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:27Z
      DOI: 10.1063/5.0074492
       
  • Impact of Covid-19 on digital payment system of India

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      Authors: Sameer Adhikari, D. R. Pallavi, Deepesh Ghimire, Sabari Thapa, Sadikshya
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Technology has revolutionized our world and everyday life over the years. In all these revolutions, technology our lives easier faster, better fun made. To withdraw or transfer money to someone you no longer have to enter the bank. Many banks have already made online transactions possible, everywhere. With your cell phone and banking application, you can manage all your bills online. Moreover, it is clear that COVID-19 million workers have been forced to stay home for the past eight months. There is a need to quickly transform digital technology into a 2020 vision. This adaptation came into effect almost immediately with the lockout, especially for India digital payments. The Government of been actively promoting online payments since 2016, starting with monetization. ‘Digital India’ was the driving force behind many digital and Indian economic decisions. There are different methods of digital payments in India, bank cards, Unstructured Support (AEPS) Data (USSD), Aadhaar Enabled Payment System, Integrated Payment (UPI), Bank Prepaid Cards etc. Therefore, overall Govt-19 has provided incentives for digital payment in India.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:26Z
      DOI: 10.1063/5.0074251
       
  • A study on bancassurance products and is implementation in India in a vide
           perspective

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      Authors: D. R. Pallavi, Anasuya Rai
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Bancassurance is preferred by consumers because of the relationship and trust that they developed with the bank, especially the local branch. Another important aspect that can really boost this system is digitization. Embracing new technology and digitization can help in easy availability for consumers and boosting up of sales of this productBancassurance is a strategic arrangement which includes insurance services offered to the customers along with the various other financial services. In this paper we discuss about Bancassurance implementation and its stakeholders such as banks, distribution channel, insurance services, financial services, service quality. After emergence Liberalisation, Privatisation, Globalisation (LPG), financial sector as a whole seen a drastic change with regard to products and services. Modern banks are providing holistic financial services and are for away from mere deposit takers and financial vendors. The continuous onus to better service and market share resulted in the banks penetrating into other modes financial services. Distribution channel plays business Insurance is one such area where it employs 10 various channels of distribution but the contribution to the success of insurance penetration by each channel is very less and few channels such as agents and bancassurance have contributed significantly on the insurance penetration. Bancassurance has a better scope compared to other channels as it enjoys competitive advantage over them.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:25Z
      DOI: 10.1063/5.0074252
       
  • Experimental investigation of wake velocity in cylindrical tower using hot
           wire anemometer

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      Authors: S. Ravindran, S. K. Sudharson, M. Motheswar, A. Ashlin Immanuel, G. Dhanush, S. Manoj Kumar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      He wake of the cylinder is investigated using a hot wire anemometer measuring system. The air velocity downstream cost by the cylindrical objects is also measured by the same in the subsonic wind tunnel. The high mast system, telephone tower, street light pole, and monopole measurement readings are the industrial standards to assess the wind resources for the wind form sitting. Tapered towers, lattice towers, and solid cylindrical towers have much potential geometry, the towers we used in this study also have good geometry potential it much of a solid cylindrical tower type. The key objective of the experimental idea is to calculate the lowering wind speed with alternating wind direction which is achieved by using the scale down model in the wind tunnel testing and also characterized the wake downstream of the cylindrical solid tower. The result indicates a significant wind speed deficit velocity reduction clearly.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:25Z
      DOI: 10.1063/5.0074131
       
  • Effective broadside tests using test cube seed generation

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      Authors: P. Pattunna Rajam, M. Mercy Theresa, Priscilla Packia Slacer, R. Indra Priyadharshini, J. Joyce Jacob
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Broadside tests are two-pattern scan-based tests that run the circuit with two clock cycles in functional mode before scanning determines the initial condition. Generally testing a circuit by scan-based tests leads to over testing. Two-pattern scan-based tests are also helpful broadside tests in which only accessible states are viewed as scan-in states. On-chip hardware structure produces powerful broadside tests using fewer parametersoften changes based upon the circuit. By this approach, high transition fault coverage can be achieved. By considering multiple seeds with distinct b parameters, the proximity to realistic operating conditions and the transition fault coverage are carried over.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:24Z
      DOI: 10.1063/5.0074374
       
  • An adaptive fuzzy neuro inference system for classification of ECG
           CardiacArrthymias

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      Authors: R. K. Kapila Vani, B. Sowmya, S. R. Senthil Kumar, G. N. K. Suresh Babu, R. Reena
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Healthcare providers confront obstacles to deliver cost-effective and high-quality patient care. In specific, enhancing the efficacy of illness diagnosis and preventive is important, particularly in the context of heart disease that is perceived a leading cause for human mortality. Electrocardiogram tests the pulse rate of the heart. It is used as a diagonostic tool in analysing the heart diseases. A deep learning approach for the detection of HRV using supervised and unsupervised training models is promoted in this paper. As a supervised training model, Convolution Neural Networks are employed and Stacked Autoencoders and Restricted Boltzmann Machines are employed as an unsupervised training model and perhaps a Neuro-Fuzzy Inference System (ANFIS) classifier, a form of Neuro-Fuzzy classifier, is inevitably developed. The primary focus of the analysis is to recognize typical ECG pulse rate and correlate ANFIS outcomes with artificial neural networks. The clinical decision support system automatically detected the parameters of the ECG and identified the type of heart disease that the patient is facing, for now arrhythmia ECG signals has been analysed. The ECG records were taken from MIT-BIH Arrhythmia Database.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:24Z
      DOI: 10.1063/5.0079821
       
  • Extensive survey on smart classroom management system using object
           recognition systems

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      Authors: Manit Malhotra, Indu Chhabra
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The technological advancements made in the Information Communication and Technologies (ICT) system has impressed the smart classroom management applications. The communication networks play a vital role in connecting the different entities of a smart classroom system. Detecting (or) predicting cheating behavior during online examination at an earlier stage is a never-ending challenging task. This paper is an extensive survey on cheating behavior detection in smart classroom management using object recognition models. The conducted survey covers the significance of cheating behavior detection by means of object recognition approach and the image processing techniques. The survey analysis states that the research challenges such as representation of objects, constancy in scenes, classification of features, searching complexity and the presence of objects and their occlusion needs to be addressed while developing an intelligent cheating behavior detection process.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:23Z
      DOI: 10.1063/5.0074375
       
  • Covid-19 and its impact on Indian stock market

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      Authors: Akash Thapa, D. R. Pallavi, Sakshi Agrawal, Anika, Abdullah Masoudi
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Stock market is place where financial securities tradingtakes place of public companies. Public company first liststheir shares in the primary market. There are two primarymarket in context of India that is bombaystockexchnage (bse) and national stock exchange(nse). Investors can buy and sell their shares throughsecondary market. Covid-19 changed every event extraordinarily. Due to covid-19 caused “lockdown” everyeconomic sector went down due to no monetary transactionand shut down of every business sector. Indian economy hadnever experienced such a massive breakdown in both demandand supply in its past. The share market first hit the economy downturn at the beginning of the pandemic and the after some month the market increased in increasing order as thecovid-19 decreased.in this study we consider the aspects like gdp, indianeconomy, gold market, stock market-covid 19, stock return, investor behavior and economy downturn.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:23Z
      DOI: 10.1063/5.0074254
       
  • Performance and emission comparison of Jamun ethyl ester and pyrolytic oil
           using in a CI engine

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      Authors: G. Ramalingam, V. Janakiraman, P. Vijayaraghavan, T. Vinithra Banu, T. Vijayaraj
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      In the today’s trend almost majority of engines requirement is towards fuel economic operation with lower carbon emissions so as to support in decreasing the need of diesel by using biodiesel. On this approach biodiesel prepared from the non edible seed is compared with diesel through CI engine operation. The results towards fuel consumption are recorded and also the carbon emissions towards hydrocarbons and carbon monoxide are analysed through gas analyser. For this, various percentage of Jamun oil with diesel blending from 20% to 100% through 5 types of biodiesel proportions used in the CI engine and the results are compared for the progress of fuel consumption and carbon emissions.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:22Z
      DOI: 10.1063/5.0074924
       
  • Performance enhancement in SI engine by air-fuel mixture recirculating
           system

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      Authors: B. Narendhiran, M. Selvakumar, T. Surulivelrajan, S. Kathiresan, G. Sathi
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      This paper presents the effect of recirculation air-fuel mixture into the induction unit in the SI engine. Here a new improvement system which recirculates the air-fuel mixture inside the spark ignition engine (TVS starcity 110cc 4- stroke petrol engine) and takes extra amount of air inside the engine cylinder to increase the fuel efficiency of the engine is proposed. A 2mm diameter port on the engine cylinder by drilling process (which is like transfer port in 2stroke engine). This port (By-pass port) is used for two different processes. First process is extra amount of air suck from the atmosphere during suction stroke. Second process is recirculating the small amount of air-fuel mixture and combustion gases between carburetor and inlet of the engine during compression and exhaust stroke respectively. So the temperature of the air and fuel at the intake is raised before entering into the engine cylinder, which results in the increase of fuel efficiency of the engine.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:22Z
      DOI: 10.1063/5.0074923
       
  • A study on E-consumer awareness towards E-commerce Consumer Protection
           Act, 2019

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      Authors: Parimala S., M. Ramachandran
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The rapid growth of e-commerce in Indian market witnesses the emergence of new consumer group known as e-consumers. Due to extreme involvement of consumers purchasing goods/services through online mode, consumers required protection against online fraud. As majority transactions are through online consumer protection should be availed through online. The main objective of the study is to know about the e-consumer awareness towards e-commerce consumer protection Act 2019, what are the guidelines and measures taken by the e-consumers protection act to protect the interest of e-consumers towards online trading. The study is based on both primary and secondary data, we have used Percentage analysis and chi-square test. So, this paper aims to examine the awareness about e-commerce guidelines for consumer protection 2019.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:20Z
      DOI: 10.1063/5.0074805
       
  • Assessment of the national bamboo resources and its properties in Ethiopia

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      Authors: Yalew Dessalegn, Balkeshwar Singh, Aart W. Vanuure
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The aim of this review article has to depth the analysis of the resources of Ethiopian bamboo as well as its performance and application areas. Two kinds of bamboo species have existed in Ethiopia like Oxytenantheraabyssinica and Yushaniaalpina which have been found in lowland and highland regions respectively. 67% of Africa bamboo and 7% of the world bamboo has been covered in Ethiopia. Over 850,000 hectares and 130,000 hectares have been covered by O. abyssinica and Y. alpina in Ethiopia respectively. Lowland bamboo grows in 500 - 1600 masl, 1150 mm rainfall, 20 - 27 °C temperature, and solid culm, whereas highland bamboo grows in 2200 - 4000 masl, 1500 - 2000 mm rainfall, 10-20 °C temperature, and hollow culm. Bamboo had a significant impact on socially, economically, and ecologically. Bamboo resources within the country have very rich, nowadays one million hectares of bamboo resources have existed in Ethiopia. Expansion and consumption of bamboo are going to assist in minimizing the shortage of housing and reducing the unemployment rate. Ethiopian bamboos are available in the almost overall region like Amhara, Oromiya, BenshangulGumze, Tigray, South people nation, and nationalists as well as Addis Abeba. Over 30%-40% of mature bamboos have been collected continuously every two years in Ethiopia. Y. alpina bamboos have high physical properties like culm height, diameter, and internode length compared to O. abyssinica. Furthermore, they have low moisture content in a dried season as well as low density.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:19Z
      DOI: 10.1063/5.0074927
       
  • Enhanced Twitter sentimental analysis using artificial neural network over
           logistic regression towards increase in accuracy of prediction

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      Authors: M. Raja Suguna, P. Amaresh
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Twitter is an American Microblogging site, where the people express their view in form of text. Twitter also provides the provision for sharing Pictures, Geotagging. Twitter becomes more famous for sharing the individual views on almost all the aspects such as politics, business, global events, sports and so on. Large volume of this available tweets, urges the researchers to detect the sentiment behind these tweets. Sentimental Analysis and opinion Mining enable the users to have greater insight into these tweets globally. Twitter sentimental Analysis using Artificial Neural network is carried and is compared with Logistic regression for increase in the accuracy of the prediction of Polarity of the tweets.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:18Z
      DOI: 10.1063/5.0074806
       
  • A review on improving the diesel engine performance and characteristics
           using biodiesel with nano additives

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      Authors: Gopinath Soundararajan, P. K. Devan, T. Karthick, P. Karthik, K. Siva Shanmugam, P. JonyJoshva
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Biodiesel is an alternative fuel source used to extend fossil fuels’ worth, cleanliness, and diesel engine longevity. Biodiesel reduces the emission of greenhouse gas because its carbon cycle is closed. It has various disadvantages, including an increase in NOx emission and regular intervals in replacement of fuel filters and fuel tanks as it leads to clogging. Nano additives are being used as fuel additives to improve fuel properties. The results achieved an enhancement in heat transfer rate, improvement in thermo physical properties, decreased exhaust emission rate, and an increase in engine performance. This review paper deals with the various methods for Nano fluid preparation and its properties, applying nanoparticles in multiple fields, performance characteristics, and emission characteristics of biodiesel blend with nanoparticles in the diesel engine. The addition of nanoparticles improved the brake thermal efficiency and reduced the NOx emissions in the various biodiesel blends.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:17Z
      DOI: 10.1063/5.0074266
       
  • Study on effect of various fluxes on magnesium loss in molten A356 and LM
           25 aluminium alloys

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      Authors: C. Bhagyanathan, P. Karuppuswamy, S. Sathish, S. Sundaraselvan, G. Chandrasekar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Aluminium is the most used recyclable material in this world. On melting and casting, one of the major toils is to retain the elemental composition of the alloy. This paper focuses on controlling the magnesium loss in the molten metal of aluminium alloy. The presence of magnesium in the melt improves the mechanical properties and hence its loss is to be kept under check. To achieve this, fluxes of different scales have been utilized. The aluminium melt is extremely easy to oxidize and inhale when it is in melting process. The control of the Magnesium loss will help to increase the solid strength and improve the strain hardening solubility in the melt. The condition of strain hardening will quickly react with the metals, so extrusion process is more difficult. The magnesium loss and control in the A356 alloy and LM 25 alloy is considered for experimentation. The casted component was examined for mechanical property, chemical composition test, metrological and hardness and tensile study to analysis the material for before and after use of flux in the casting. The result indicated the Mg loss in casting can be controlled by proper use of fluxes and thus reduce the compensation costs.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:17Z
      DOI: 10.1063/5.0074145
       
  • Impact of Covid – 19 on student’s education due to
           parents’ unemployment

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      Authors: S. Rathika, C. S. Nivedha
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      This paper is about COVID – 19's impact on student's literacy due to their Parents’ unemployment. It describes the Unemployment rate in India, and describes the way people can manage to give educational impartment to their children. Since March of 1616, the Schools and Colleges have been closed as a precautionary measure to bridle the Corona virus. Because of that many schools and colleges have started the concept of E-Learning and it has become a part of the teaching. Though E-Learning is a good concept; multiple students in India can't afford it due to their poverty and lack of resources like Internet Connection and other electronic devices. The study's aim is to explore the concern of the parents’ during the lockdown and their perspective on the concept of E-learning or Online learning. This study adopted Qualitative research design. For data collection, structured questionnaire was used, responses were collected from the head of the family [either with father or mother] [N=30]. Findings of the study describe; the new episodes of Corona virus had drastically affected all the sectors of people starting from the higher section to the lower ones. Closure of all the work area was made people to be unemployed for more than 3 months. Unemployment was made them stressful; get into depression and other psychological issues. The finding concerns about the future students and the parent's inability in paying the fees. Participants said that their income was reduced to half the amount due to the virus destruction, thus they can't manage the situation with one person's income in a family. Opportunities to find a better remedy for the participants were given in the suggestions.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:16Z
      DOI: 10.1063/5.0074146
       
  • Comparative analysis and testing of impact attenuator

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      Authors: Gopinath Soundararajan, N. Aravindhan, J. Pranith Kumar, M. Pragadeeswaran, K. Santhosh Kumar, M. Sarath Kumar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Electrical vehicle energy consumption is often reduced by redesigning individual car parts to avoid compromising crashworthiness. By comparing the metallic and, as a result, composite models, the most efficient configuration of an electric vehicle is revealed. Previous research on automotive body materials has looked at both composite and aluminium options. Still, steel has consistently proven to be the most cost-effective option at the assembly volumes used in the vast majority of automobile models. Meanwhile, savings of weight is achieved using the carbon weave fabric composite compared to its predecessor fabricated from fibre reinforced plastics (GFRP). These findings come when they are significant, given the many implications of a polymer composite body for vehicle light- weighting and improved fuel efficiency. Testing and analyzing aluminium material were carried out if it can withstand damage compared to foam and iron. Lightweight composites are widely employed in various marine, transportation, and aerospace applications due to their high strength. In mass transit, replacing metallic parts with reinforced composites reduces weight, improves fuel efficiency, and lowers maintenance costs without sacrificing performance. Throughout this project, we will examine and evaluate various materials to determine the best material for use as an impact attenuator.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:16Z
      DOI: 10.1063/5.0074267
       
  • Progress and advancements in solar collectors for water heating purpose: A
           comprehensive review

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      Authors: Chidambaranathan Bibin, S. M. Syed Ashik Naina, N. Yogaprakash, M. G. Suriyaprakash, S. Saran Kumar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      water heating is an essential activity, which aims at producing hot water for bathing, cleaning, drinking purpose in the domestic scenario and also in washing, sterilizing, power production and process heating in the industrial scenario. water is heated traditionally using fire with wood or gas as a fuel and electrical heaters for domestic purpose. in industries, water is heated according to the type of fuel available in the local geography, water is heated beyond its boiling point and converted to steam for power production. a part of steam is blead from the cycle for process heating purpose. the common part from all the previous type of water heating is spending cost to buy fuel and electricity. the water heating process consumes high amounts of energy. the radiation from the sun, whose input is free of cost can be harnessed and concentrated up to a point, enough to heat water up to a desired temperature. many variants of solar collector are available such as flat-plate collector, evacuated tube collectors and compound parabolic collectors. solar water heating systems suffer drawbacks due to the fact that the materials used are rarer in comparison to traditional heating techniques, high initial cost, uses a lot of space, weather-dependent, expensive energy storage, unavailability after sunset. researches are taken place to overcome their disadvantages and to optimize their characteristics for different climate conditions. research works focused on improving the overall efficiency, energy storage, optimal design, payback period etc., and their respective results are categorized and presented in this survey. the findings of this research put forth the tradeoffs one need to acknowledge on optimizing solar collectors.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:15Z
      DOI: 10.1063/5.0074268
       
  • Quantitative survey on the machining of super alloys using BibExcel

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      Authors: Anish Nair, K. P. Shanavas, Somasundaram Kumanan
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Superalloys or super-stainless alloys where developed for high temperature applications in aerospace and turbines where the physical limits of stainless steels saturated. This survey intends to highlight the different machining aspects that have been carried out in this field and examine the general trends. Superalloy machining is a large domain and a systematic literature review of this domain has been presented in this article. Bibliometric analysis using BibExcel and network analysis tool Gephi are used to capture insights that have not been reported in earlier reviews. Analysis of the bibliometric data was conducted and various statistical results have been reported. The volume of articles published over the span of time has been highlighted. A citation analysis has been carried out and the various articles with the highest impact in the field have been identified. A geographical mapping of the field is done to identify the universities and institutions where predominant research is carried out. Key research clusters and topics in the machining of superalloys have been identified by using Gephi software. Prominent articles in each of research clusters have been mentioned and elaborated.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:15Z
      DOI: 10.1063/5.0074149
       
  • An analysis of impact of demographic factors on job satisfaction among
           non-managerial employees in State Bank of India

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      Authors: Roopendra Singh, Rashmi Vaishya
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      There are 12 public sector banks in the country with State bank of India being the oldest and the most trusted public sector bank. Work force in the branches of bank majorly consists ofnon-managerial employees who account for 75 percent to 85 percent of total number of employees. These include accountants, cashier, single window operators, clerks etc. They are the face of the bank and they represent the bank to the customers and to the society. The purpose of this paper is to study the impact of demographic factors on job satisfaction among non-managerial employees in State Bank of India. Raipur is the financial hub of Chhattisgarh state and it is a growing capital. The State Bank of India is very reputable even in far flung areas of state. The demographic factors considered in the study includes age, gender, marital status, income level, tenure of employment, type of family and education qualification. A sample of 283 employees was selected during 2018-19 through simple random sampling from branches of the bank in the Raipur region. The data was analyzed using SPSS-20 software tool. The results revealed that there is a significant difference in job satisfaction on the basis of their income level where employees in the higher income group were found to be more satisfied. Further, it was also observed that there is a significant difference in job satisfaction on the basis of marital status where married employees were more satisfied than unmarried employees. This study has a clear implication where policymakers can frame policies to increase satisfaction level among non-managerial employees on the basis of their demographic profiles.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:14Z
      DOI: 10.1063/5.0074820
       
  • For single machine infinite bus, an adaptive regulator based on minimal
           control synthesis management theme algorithm

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      Authors: G. Kala Priyadarshini, M. J. Murali, R. Harish, P. Chandrakala, G. Indira
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      In this paper a substitute to access the accommodative neutralize victimization Minimal Control Synthesis (MCS) algorithmic rule in the case of a synchronous power deviceis intended. In hyper stability, the MCS algorithmic rule becomes an extension which mainly depends upon a reference model management. The major advantage of the algorithm rule is to provide easy and elegant structure with minimum number of steps to be implemented in the system. Both proportional as well as integral controllers are used to adjust the hyper stability conditions by changing the plant parameters, applying disturbances and plant non-linearity's. In addition, the hyper stability system promises to give stable condition at flexible to a lower place a disturbance. The system consists of synchronous machine connected to infinite bus system. Simulation studies verify that every electrical device and speed governor controls the controller's energy for damping machine oscillations induced by power system disturbances.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:13Z
      DOI: 10.1063/5.0079717
       
  • Comparative analysis of crime predictions using machine learning
           algorithms with geospatial features

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      Authors: M. Raja Suguna, R. Beaulah Jeyavathana, K. V. Kanimozhi
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Crime constitutes an action which is punishable by law. Crime Analysis involves the predictions of occurrence of future crime, the time and place of crime and to have insights into the trends of crime. Models are created by machine learning algorithms using the spatial, temporal and the demographic features extracted from the crime dataset. Reverse Geocoding technique is used to extract spatial features and also visualize the locations of the crime from the crime dataset using ArcGIS API of python along with WebMap and WebScene component provided by the API. Crime Analysis assists the Police, Investigation departments for the prediction of future crime and also take required actions which involves the deployment of crops in the predicted place at the time of the crime. The hotspots are identified; the hotspot is the area co-ordinates where more frequent crimes occur. After identifying hotspots, more focus is given on those crime prone areas for preventing and controlling the crime.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:12Z
      DOI: 10.1063/5.0074141
       
  • IoT based speech recognition system

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      Authors: Kishor Kumar Sethy, L. M. Varalakshmi, Rajkumar E., Radha Raman Pandey, Karthika R. N. B., P. Vijayakumar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      This paper provides an effective approach focused on voice recognition to offer a simple control system for elderly people, patients, and disabled people. The aim is to build a low-cost speech recognition system to easily access devices installed in smart homes and hospitals without relying on a centralized Internet of Things supervisory system. It shows a multi-functional voice controlled smart home using ESP-32 as the wireless option. Controlling the Speech. A dedicated hardware component recognizes voice commands, and the familiar data is transfer to the database using ESP-32. Raspberry pi analyses the information from the database on the acceptance unit and deciphers the instructions orally uttered by the user and regulates the devices of the family unit.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:12Z
      DOI: 10.1063/5.0074140
       
  • A study on the relationship between job satisfaction and the coping
           strategies of job stress among the women faculties in Arts and Science
           Colleges

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      Authors: N. M. Louly, K. Kanniammal
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Job satisfaction is a significant concept from the viewpoint of keeping up and holding the proper workers inside the organization. It is tied in with fitting the perfect individual to the correct employment in the correct culture and keeping them satisfied. Work stress is considered a barrier to professional development. It affects the psychological situation and health of employees and affects their productivity and professional performance at work negatively. The managers and employees of an organization use various strategies to balance their job stress and try to improve the performance and productivity of an organization. This study focuses on the relationship of job satisfaction and coping strategies of job stress of women faculties in Arts and Science Colleges in Palakkad District. A well-structured questionnaire about job satisfaction and coping strategies of job stress was applied to obtain required data from women college faculty. Data were collected from 85 women respondents. The statistical tool used in this study is Mean, SD, Chi- square test, and Correlation Analysis. The results showed that there is a positive relationship between the coping strategies of job stress and job satisfaction among women faculties in Arts and Science Colleges.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:11Z
      DOI: 10.1063/5.0074383
       
  • Effects of different phase change materials on battery thermal management
           system: A comprehensive review

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      Authors: Chidambaranathan Bibin, B. Manoj Kumar, G. Gokul Krishna, S. Elavarasan, S. Ajith
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      As of 2020 most of the vehicles on the road will be electric vehicles according to the reports. The electric vehicles are driven by Rechargeable batteries. As there are many rechargeable batteries available Li-ion battery is the most suitable one for many advantages. But the heat control in Li-ion battery is very difficult as it can reduce the lifetime of battery. Therefore, an efficient Battery Thermal Management System (BTMS) is required to increase the efficient and lifetime of battery. In BTMS the air cooling and water cooling is not so efficient as it can consume additional power of battery and it can't decrease the temperature of battery rapidly. Phase Change Material (PCM) can be used to increase the efficient of battery. This work focuses on review of research progress in PCM, liquid-gas PCM, solid-liquid PCM and effect of different types of PCM Material on BTMS. As usage of PCM Material alone doesn't give 100 per cent efficient on BTMS so usage of carbon, graphene by enhancing the PCM can significantly increase the efficiency of BTMS. The Hybrid BTMS can also further reduce temperature rise rapidly and enhance temperature uniformity of battery.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:10Z
      DOI: 10.1063/5.0074263
       
  • Deepq: Residue analysis of localization images in large scale solid state
           physical environments

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      Authors: S. Manikandan, K. S. R. Radhika, M. P. Thiruvenkatasuresh, G. Sivakumar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Deep Learning is the process to led machine learning, natural language processing and neural networks. The various deep learning models, computer vision systems and artificial intelligence services are used to study of various real time applications. Due to lack of computing resource the conventional neural network are produces delay in progress and reduce the GPUs performance and throughput. In this paper we review difference deep learning approaches with increases GPUs performance and apply various image processing classification and localization techniques. The high availability and GPUs performance can be verified by state-of-arts results using conventional deep learning methods.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:10Z
      DOI: 10.1063/5.0074142
       
  • Review and analysis on various methods for image deblurring

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      Authors: P. S. Arthy, A. Kavitha
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Human faces are a fascinating class of objects and it can be utilized in wide ways. Even though there has been a considerable progress made on the issue of generic deblurring,when it comes face blurred image the current solutions are less efficient. The performance measure of cutting-edge image deblurring algorithms is taken primarily from indirectly or specifically restoring the outstanding kernel edges. The efficiency of the available methods is less, because kernel estimation for blurred images can restore only very number of edges. The problem that facial structures exploit is discussed in this paper. Deep learning has proved itself to be one of the leading machine learning methods for a number of inferior tasks in recent years. It provides transformative possibilities in optical microscopy for the reconstruction and improvement of images in addition to its significant applications such as classification. This paper proposes numerous methods proposed by several authors based on the blind deblurring process, which are important for us to predict a blur kernel. A clear image has a distinctive rim of colour distribution when compared with a blurry image. In this paper we propose a filter to describe the edges which will be a reference image to recover a blurred image and the blur kernel will be calculated for this reference image. The blurred image is then unparalleled to add a latent image into the approximate blurred kernel.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:09Z
      DOI: 10.1063/5.0074143
       
  • Application of machine learning in fused deposition modeling: A review

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      Authors: C. T. Muthiah, C. Arvind, C. Devanthan, R. Giri
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Additive manufacturing and rapid prototyping has facilitated customized mass production in the industrial sector and correspondingly plays an important role in various engineering applications. The advent of various additive manufacturing processes has enabled various researchers to study the diverse set of characteristics associated with each additive manufacturing process. Fused deposition modeling is one of the additive manufacturing processes that offer excellent mechanical properties. It is an extrusion based process that holds various process-structure relationships which are difficult to model by conventional mathematical methods. The idea of data driven machine learning is suggested and the existing studies based on the concept of machine learning are reviewed. The review is concluded by suggesting potential future directions of research.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:09Z
      DOI: 10.1063/5.0074144
       
  • Access decision based on trust management in pervasive applications

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      Authors: A. M. Hema, K. Kuppusamy
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      With the advent of improvement in information and communication technology, most of the applications are in pervasive manner. All the service access is user centric form in dynamic fashion. These pose a challenge to establish communication between trusted entities in pervasive environment. Because there was a chance for the intruder would access the information. So to improve the security measures, in this paper we have given a solution for user authorization and defined the trust level through computation for all the active services in the environment. Finally, we compared our proposed model with the existing models and presented the observation. From the results we have proven that our model enhances the possibility for service access by the authenticated user by avoiding the malicious user attack.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:08Z
      DOI: 10.1063/5.0074817
       
  • Cotton leaf disease detection using mask RCNN

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      Authors: Tejaswi Pallapothu, Manmeet Singh, Riya Sinha, Harshita Nangia, Prashant Udawant
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Cotton is one of the important cash crops and plays a good role in the agricultural economy of India and it provides livelihood to more than 6 million farmers. But one major disadvantage is that cotton crop is highly prone to pests and diseases and approximately 30-35% of the yield gets corrupted because of this. Therefore, early detection of diseases is necessary because detecting diseases at an advance stage leads to crop failure. Thus, utilising the advancement in computer vision and machine learning can be of great benefit to the agriculture sector. This paper focuses on application of Mask-RCNN object detection algorithm which is based on instance segmentation to identify the pests and diseases on cotton leaves.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:08Z
      DOI: 10.1063/5.0074814
       
  • A systematic review of papers on guest satisfaction practices in food &
           beverage service department and its impact on customer satisfaction and
           retention

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      Authors: Ratan Bisui, Mahesh Chandra Uniyal, Neha Sharma
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      In recent years, the inclination toward eating out has become a prime choice everywhere. It is the result of working parents, micro family, and disposable income. People are looking for a good time to spend and relax. Resulting in many new hotels and restaurant are coming up day by day. In this competitive environment, restaurants are suffering from low business and find it difficult to survive in the market. Restaurant management is not able to identify the drawback of its products, services, and is thriving for new strategy and development. Therefore, this paper aims to find out various customer satisfaction practices existing in the catering industry and its effect on customer satisfaction and retention. This is a review paper using secondary data analysis based on various published journals, articles collected from various leading journals in the field of hospitality and tourism. The findings of the paper are factors such as food quality and authenticity, personal touch, physical ambiance, and value for money,staff behavior.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:07Z
      DOI: 10.1063/5.0074818
       
  • Influence of emotional intelligence on teachers in higher educational
           institutions

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      Authors: Richa Verma, Vandana Singh, Nishant Chaturvedi
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Emotions are the foundations for creativity, passion, optimism, desire, and transformation. The study's objective is to determine the level of Emotional Intelligence among teachers of Higher Educational Institutions. The study also aims to investigate the gender difference in Emotional Intelligence among teachers of Higher Educational Institutions. The study includes 150 faculties of the Management and Engineering Department of Higher Educational Institutions from Uttara hand. Emotional Intelligence was assessed using the EI scale developed by Hyde, to which subjects responded on 5 points Likert scale. The study highlights that the sample population reflects a higher level of Emotional Intelligence among Higher Educational Institutions' faculties. Further, the study shows that there are significant differences in Emotional Intelligence among male and female sample populations. Hence, this study aims to furnish a better insight into individuals' emotional development and psycho-educational intervention on individuals' emotional balance, which could directly or indirectly affect individual's success in career and family life.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:07Z
      DOI: 10.1063/5.0074819
       
  • Review on development of false ceiling material from coconut shell powder
           reinforced PLA with increase fire retardancy

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      Authors: Pradip D. Jamadar, Rajeev Sharma, Hemant K. Wagh
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      For hundreds of years, the use of fillers in the manufacture and processing of composite materials has been used commercially. In the composite matrix, such fillers induce and improve desirable characteristics. Flammability is a significant deterrent that leads to the decreased utility spectrum of fully recyclable composites. Not only are explicit factors such as the melting temperature and thermal degradation factor of the material affecting the ability of any material to act as a flame retardant, but also different implied factors such as the various transformations taking place in the material and the compounds created due to the material's elevated temperature exposure. The paper focus and compares four common fillers' fire retardancy mechanisms and aims to evaluate their efficacy in implementing fire retardancy in biodegradable false ceiling materials. The results show that in terms of heat release rates, restricting oxygen indexes and thermo gravimetric analyses, the attributes of fire retardancy can be calculated.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:06Z
      DOI: 10.1063/5.0074871
       
  • Framework strategy for industrial machine maintenance monitoring and
           management systems

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      Authors: K. K. Deepak, G. S. Sangeerani, A. Kavitha
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      In today’s world of throwaway lifestyle, consumption of machine manufactured goods is on an exponential increase. Organizations are able to produce goods continuously at high speed and lower costs. This is possible only due to the machines that work continuously. unfortunately the nature of machines is that they are susceptible to breakdowns and repairs. breakdowns cause loss in production which in turn reduces efficiency of that machine and other machines in the production line. the aim of the paper is to strategize a framework to create a holistic machine maintenance monitoring and management system to reduce breakdowns in factories. The framework must be created with all the criteria given by the organization to improve their final production. current systems are independent to each machine and even with the industry 4.0 standard; machine manufacturers do not integrate their machine with existing monitoring system. the proposed framework will make use of inputs from the machines and also external sensor inputs to validate the maintenance requirement of a particular machine. there have been few researches in monitoring the status of the machines. since the monitoring and management system will be unique to every industry, simulated data will be used based on stone processing industry. Evaluation of the framework will show that the productivity and the efficiency of the machines will increase in the long term due to predictive maintenance management and continuous monitoring. the framework can be used to implement a complete maintenance monitoring system that can continuously monitor the machines and schedule maintenance operations based on the past instances and current status of the machines. this results in increase efficiency in the factory floor and improves production which will increase the organization’s profit.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:06Z
      DOI: 10.1063/5.0074079
       
  • Genetic based algorithm to improve performance of mobile ad-hoc network

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      Authors: Hamela K., M. Narayanan
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Mobile Ad-hoc Network (MANET) does not require any fixed infrastructure and it is a decentralized network that required a strong dynamic routing protocol. The process of finding the nodes between the source and destination is known as routing. Routing is the basic functionality of any communication network. One type of proactive routing protocol in MANET is Optimized Link State Protocol (OLSR). The fundamental optimization of OLSR is to reduce the control traffic by selecting a small number of nodes, known as multipoint relays (MPR) which is an improved flooding mechanism for topological information. In this paper, we would like to bring a genetic based algorithm, namely Ant Colony Optimization (ALO) in OLSR to the performance of Mobile Ad-hoc Network.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:05Z
      DOI: 10.1063/5.0079764
       
  • Major causes of delay in construction of highway projects

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      Authors: Amul V. Kotharkar, A. Mansoor Ali, S. Manishankar, M. Arun, M. Devi
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Construction projects contribute to economy growth significantly in any country. However, these projects are faced by delays frequently, especially for Highway Sector. The construction industry is one of the main sectors that provide supreme additives for the development of an economy. However, numerous projects exploit extensive delays and there by exceed initial time and cost estimates. Construction delay is considered to be one of the most reoccur problems in the construction industry and it has an unfavorable effect on project success in terms of cost, time, quality, and safety. Highway and Expressway projects in India are affected by cosmic delays. Delays occur in every construction projects, and the importance of these delays differs widely from one project to another. During construction, the delay means exceeding the completion date mentioned in the contract or exceeding the date on which the parties concur to the dispatch of the project. During the last ten years, as a result of fundamental change in the volume and capacity of the highway construction zone, it is very important to detailed analysis about factors of delays and to build up a brief understanding amidst the highway and expressway professionals. Adopting a comprehensive project stakeholders’ analysis namely client, consultant and contractor, the research identified the important factors affecting the delays in Indian highway and expressway construction industry and then establishing the association between factors to develop the prediction models to appraise the impact of these delay factors. Most critical variables causing construction delay were analyzed using factor analysis. These results will significantly contribute in managing the time overwhelm in Indian highway & expressway construction industry. This project delays forms a challenge for developing nations like India, where exponential costs result from difficulty in recognizing and mitigating the project detain factors. Project delays are directly related to the total construction costs. The delays can only be minimized if the cause is identified. Project delays incorporate several reasons such as missing funds, changes in the drawings, lack of effective communication and deficient project management. This topic focuses on prominent factors causing delays in highway & expressway construction sector, and accordingly proposes a suggestive framework to design a construction project in an efficient manner and assisting mitigating of delays.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:05Z
      DOI: 10.1063/5.0075048
       
  • Current status of research on farmer producer organizations: A systematic
           review based on Scopus database

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      Authors: P. S. Velmurugan, D. S. Gagana
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Agricultural producer organization is a tool for enhancing the farmers' income, market participation, reducing transaction cost, and to commercialize the Agri output. The main focus of this paper is to systematically review the existing literature and thematically analyze the publications on the Farmer Producer Organizations across the globe. This paper considered the Scopus database from with Boolean keyword "Farmer" AND "Producer organization" and identified 1654 abstracts from which 234 articles were shortlisted after inclusion and an exclusion criterion from top International Journals. Of this only 15 articles were related to India. The study found that research on farmer producer organizations has geared up from the past 3 years with Elsevier having the highest number of Ethiopia had more number of studies and 14 themes were generated based on FPO. Overall, the study found that the research on the farmer producer organization is gradually increasing.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:04Z
      DOI: 10.1063/5.0074872
       
  • A study on relevance of knowledge management practices and learning
           organization process as innovative approaches in selected SME’s of
           Bengaluru

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      Authors: R. Nalina, K. Mahesh
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The study is aimed at understanding the Process of Learning Organization and Knowledge Management practices at SME's of Bengaluru. The study focus on smoothening path for learning organization process and deciding on knowledge management practices. Work involves enhancing knowledge of Learning Organization dimensions, related process of Measuring knowledge & Innovation Performance, Economic, Social & Environmental Impacts of Knowledge, Strategies for Knowledge and Learning, Creating the Climate for Innovative learning, Innovation through Procurement of Technology, Knowledge and learning Transfer New modes for learning Innovation, organizational memory (OM), knowledge Structure and communication, knowledge distribution, sharing, and collaboration capture and gather knowledge, knowledge for corporate memory database Learning Organization and Knowledge Management Practices. The importance and imperative of the topic is well supported by vastly available literature and review of the same. Based on the survey and statistical tools administered to the study it is found that conversion of traditional organization into Learning Organization and Knowledge Management practices at organizations enable in reinforcing organizational competitive advantage of IT SME's at Bengaluru.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:03Z
      DOI: 10.1063/5.0074874
       
  • Development of cyber security and privacy by precision decentralized
           actionable threat and risk management for mobile communication using
           Internet of Things (IOT)

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      Authors: G. N. K. Suresh Babu, S. Anbu, R. K. Kapilavani, P. Balakumar, S. R. Senthilkumar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      In the recent past, with the tremendous growth of Internet of Things (IoT) and mobile communication the security and privacy are needed for the information transmitted from transmitter to receiver. IoT refers to connecting wireless sensor network, various mobile communication applications, machine, people living in different location and equipment collectively by utilizing local or broad are wireless communication and cloud communication, with the internet as the adhesive, during original path to construct a precision wireless sensor network. In this paper, a novel cyber security and privacy methodology is proposed based on precision decentralized actionable threat and risk management for mobile communication using IoT. The threat and risk can be managed by providing efficient and accurate action and the methodology is the decentralized amount the wireless sensor network to carry mobile communication precision. The huge- scale operation of the IoT want to face few problems, particularly in security and privacy problems for precision, linking between wireless sensor network, and mobile communication with IoT devices because of the truth that IoT has various individuality through conventional wireless communication networks, linked to its particular risk and threats. The security and privacy solutions for IoT should give IoT wireless nodes (users, servers, things and objects) with information validity, privacy, integrity and originality certification, and approval. The risk and threat management should be properly decentralized protection must be considered.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:03Z
      DOI: 10.1063/5.0074634
       
  • Effect of compaction on strength behaviour of an unsaturated soil at
           different temperatures

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      Authors: Bhavita Subhashbhai Dave, Maaz Mansoori, Chandresh H. Solanki, Atul K. Desai
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      A significant portion of the earth is partially saturated which is having a three-phase system considering air- water-soil. The conventional shear strength criteria cannot apply to this type of soil. An unconfined compressive strength test is the quick and easy test to determine the shear strength of the soil. Various researchers tried to study the effect of variation of the degree of saturation and dry density on the shear strength of the soil. In this paper, effect of compaction variations with different degree of saturation on an unconfined compressive strength of an expansive soil from Surat region of Gujarat state was studied. Considering the similarity between Wetting-Drying and Freezing-Thawing process, this study had been focused on Freezing-Thawing process. Samples were moulded at different compaction i.e., 100%, 95%, 85% of Proctor density with variation in degree of saturations as 60%, 40%, 20% of the optimum moisture content. Moulded samples were passed through number of F-T cycles i.e., 0, 1, 3 and 5. Results showed variation in UCS value with the freezing thawing cycles. It increases up-to 3 cycles for full compaction and then decreases. While for field compaction it decreases as the no of cycle increases.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:02Z
      DOI: 10.1063/5.0074636
       
  • Detection of potholes using IoT and citizen feedback on maintenance of
           road

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      Authors: R. Reena, K. Kapilavani, P. Balakumar, S. R. Senthilkumar, G. N. K. Sureshbabu
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      While travelling on roads, the commuters come across potholes, accidents, landslides and other hazards that may lead to accidents. Citizen feedback is an important feature that will enable the government authorities to take timely action on roads that are not maintained. An application may hence be developed to capture the images of potholes, accidents, landslides and other hazards by the citizen. The road user will need to register on the application and then through login he or she needs to upload the damaged road image along with location and description about the complaint. The government authority will check the complaint and take their timely action to repair the road and finally a response will be provided to the respective user with an image of the repaired road. To detect potholes automatically this research uses IoT devices and mobile application and applies machine learning algorithm to automatically classify uneven differences on roads using data from an IoT device. The K-Means clustering clusters the obtained latitude and longitude data from the database and also provides the actual location of the pothole or hump in the form of an address. Broadly, this work can help advance efforts in many areas of Road transport. It is expected that relaying the data to the Government's vision will make their work simple and easy to make every human's road journey safe and happy.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:02Z
      DOI: 10.1063/5.0074514
       
  • Plan and development of efficient branch predictor for in-order RISC-V
           processor

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      Authors: A. Benila, R. Indra Priyadharshini, Priscilla Packia Slacer, J. Joyce Jacob, M. Mercy Theresa
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Restrictive Branches are a significant issue in the pipelined processor. The branch bearing and branch target address are resolved and determined by the processor after a few patterns of the guidance unravel which brings about pipeline slow down. Pipelined slow down prompts control risks in the processor and results in execution debasement. To build the pace of the guidance stream in the cutting edge processors, branch forecast is utilized. The branch course and branch target address are resolved and determined by the processor after a few patterns of the guidance unravel which brings about pipeline slow down. Pipelined slow down prompts control perils in the processor and results in execution corruption. To build the pace of the guidance stream in the advanced processors, branch expectation is utilized. For contingent branches, anticipating if the branch is taken is just 50% of the issue. After the course of a branch is known, the real objective location of the following guidance along the anticipated way should likewise be resolved. In the event that the branch is anticipated to be not-taken, at that point the objective location is essentially the current branch's location in addition to the size of a guidance word. In the event that the branch is anticipated to be taken, at that point the objective will rely upon the kind of branch. Target forecast should likewise cover unqualified (branches that are constantly taken). This theory worries about the decrease of execution punishment in the processor pipeline by utilizing branch indicator with BTB. Branch Target Buffer (BTB) can lessen execution punishment of branches in pipelined processors by anticipating the way of the branch and storing data utilized by the branch. No slows down will be experienced if the branch section is found in BTB and the expectation is right; in any case, the punishment will be at any rate two cycles. This spotlights on the plan and advancement of branch indicator with Branch Target Buffer (BTB) for the bring unit, which further coordinates to an all together pipelined RISC-V processor. The presentation of the RISC-V center as far as clock cycle inertness, Instruction per Cycle (IPC) were estimated and examined.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:01Z
      DOI: 10.1063/5.0074195
       
  • Multi-purpose unmanned aerial vehicle for temperature sensing and carbon
           monoxide gas detection with live aerial video feeding

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      Authors: J. Gayathri, K. K. Senthilkumar, G. Vijayalakshmi, A. R. Aravind, G. Kalanandhini
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      In our paper a whole system is intended and implemented, within which the motion of a quad copter is stably controlled. We have a tendency to concentrate on developing a value effective and easy-to-setup. The controller's performance is additionally improved by the employment of mechanical phenomenon sensors of the quad copter. The final aim of it to observe radiation exposure in atomic power plant wherever human life is vulnerable and another application of our project is detection of CO that is displayed on digital display. In this approach, we use a camera for live video coverage for aerial photography. In this project a Quad rotors is constructed from scratch using commercial components. A Micro Controller Unit (MCU) is used to control the air craft, with an appropriate control loop that is in corporate with the integration of a gyroscope sensor to provide stability with minimal drift A Quad rotors has many merits over other UAV's types such as; its mobility which makes it agile Since the components used are electrical, explosions and fire- related risks were Quad rotors have variety of applications including; search, small packages transportation, military exploration, aerial photography, and scientific exploration.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:01Z
      DOI: 10.1063/5.0074193
       
  • A synthesis, characterization and biological function of copper, nickel
           and iron nano-oxides with various plant extract

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      Authors: Renu Bala, Ashutosh Dixit, Bhawna Pareek, Vivek Sheel Jaswal, Ashun Chaudhary, Vikash Singh, Vivek Sharma
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Mixed metal oxides like copper, iron and nickel characterized by distinct processes in particular (sol-gel, co- precipitation and hydrothermal method etc.) using different plant abstract. The following literature study examined the biological activities of numerous metal and metal oxide nanoparticles such as copper, nickel and iron. The mean size, structure and the crystalline nature of the nanoparticles were examined by SEM, TEM, FTIR and SAED analysis. EDX analysis confirmed the presence of elements in the synthesized nanoparticles.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:00Z
      DOI: 10.1063/5.0075042
       
  • To improve the Chunks delivery of live streaming using an adaptive buffer
           management algorithm over a video on demand service

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      Authors: M. Narayanan, P. Santosh Kumar Patra
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Peer-to-peer (P2P) computing and technology requirements have exploded in recent years, owing to their wide range of applications in almost every domain. P2P computing and file-sharing methods are now more accessible than ever thanks to advances in computer science and technology. The time it takes for the server to load tends to be lengthened as a result of this. The vast majority of data is held in massive libraries. Networks, on the other hand, cannot operate if several computers transmit large amounts of data over the same cable at the same time. When a computer transfers a large volume of data, other computers are summoned to assist in the processing of the information. The server and network become slow when large chunks of data are withdrawn from the network. The two processes are combined in this paper to reduce the load on the servers. The results are strong since the two algorithms are mixed. The NS2 simulator is used in the implementation. The two methods to be used are the Chunk Delivery with Adaptive Buffer Management Algorithms and the Chunk Delivery with Buffer Management Algorithms. It's based on the number of chunk requests sent to the same number of response providers. The results show that the performance validated the chunk scheduling and buffer management formula's effectiveness.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:46:00Z
      DOI: 10.1063/5.0079768
       
  • Sign language illustrator

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      Authors: Ojesh Vyas, Prateek Dembla, Rubin Jhambani, Sunidhi Manish Jain, Prashant Udawant
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      On its own, the term sign language illustrator represents the device throughout. It is asuggested structure aimed at reducing the disparity in language between ordinary and deaf and dumbpeople. It is entirely focused on the theory of Trans forming images and machine learning. The gesture image is filmed in this process and then pre-processed. And compared to the data collection that finally gives our output, i.e., in text format, the significance of the gesture. This research paper would also concentrate on a hand motion recognition method developed using the principle of machine learning and neural networking, since this approach is more practical and can achieve optimum precision. Other solutions that use HD cameras or sensor-based sensors that detect hand movements are expensive and need more hardware in addition.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:59Z
      DOI: 10.1063/5.0074076
       
  • Mudhr: Malicious URL detection using heuristic rules based approach

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      Authors: A. Saleem Raja, G. Pradeepa, N. Arulkumar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Technology advancement helps the people in numerous ways such as it supports business development, banking, education, entertainment etc. Especially time critical and money related activities, people are fully really on internet and web applications. It saves valuable time and money. Despite of the benefits, it also gives wide space for the attackers to focus more victims. Malicious URL based attacks are most common and more dangerous attacks now a day which steals the credentials and sensitive data from the victims and perform malicious activities in the victim’s space. Phishing, Spamming, drive by download are the example of such attacks and are preformed through malicious URL. Plenty of approaches are available to detect the malicious URL. That are grouped under three categories such as Blacklist based, Heuristic based and Machine Learning based approaches. Among the three, heuristic approach is better than the blacklist approach in term of better generalizing the malicious URL and gives equally accurate prediction with machine learning approach. This paper presents recent works in the field of malicious URL detection and novel technique to detect malicious URL based on the most important features derived from URL.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:58Z
      DOI: 10.1063/5.0074077
       
  • Three-dimensional craniofacial model for condylar osteochondroma - A clout
           in surgical planning

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      Authors: N. Vidhyasankari, M. S. Senthilkumar, Natarajan Chellappa, K. K. Umashankar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Osteochondroma occurs due to the proliferation of epiphyseal cartilage remnant that isaberrantly activated. Osteochondroma is common in long bones, however relativelysparse in the craniofacial region. The mandibular condyle and coronoid processes are commonly involved in the craniofacial region. The growth of osteochondromas is anteromedial; thereby it’s difficult to be appreciated clinically. Three-dimensional craniofacial models provide a realistic facsimile of these dysmorphic craniofacial morphologies and bring succor in pre-op diagnosis and surgical planning. A 45-year-old male with facial asymmetry due to condylar osteochondroma, in which a three-dimensional craniofacial model was used in surgical planning and aid in technicalities involved to carry out the procedure is reported.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:58Z
      DOI: 10.1063/5.0074197
       
  • Best fuzzy graph with application in fuzzy social network

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      Authors: R. Sumathi, R. Sujatha, R. Sundareswaran
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      In this paper, new concept of fuzzy graph called best fuzzy graph was introduced based on equitable fuzzy graph and excellent fuzzy graph. And an application of best fuzzy graph in social network is given. Basic results on best fuzzy graphs are also provided.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:57Z
      DOI: 10.1063/5.0074198
       
  • Changes in customer perceptions towards online food ordering services
           through food apps (Swiggy&Zomato): An empirical study

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      Authors: T. Somasundaram, V. G. Jisha, R. Rupashree, A. J. Excelce
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      In India, Digital technology has reshaped the various industries in different level and with frequent use of technology had made the people to engage into digital sector for 24/7. The online food ordering system sets up a food menu online and customers can easily place the order as per they like. The main aim of this study is to identify the factors that change the customer perception towards online food ordering services through food apps (Swiggy&Zomato). The researcher used descriptive research and collected a sample from 167 respondents though structured questionnaire by using convenience sampling method. The statistical analysis like Reliability test, Chi square analysis, ANOVA, Correlation analysis were used to test the variables and items. This study is undertaken to know the factors that lead to changes in the consumer perception regarding online food services and the results suggest that majority of the customers are youngsters and their perception changes due to various factors like frequent incident in social media, bad past experiences, online review & comments.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:56Z
      DOI: 10.1063/5.0074078
       
  • An intelligent bike safety and surveillance system

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      Authors: M. Mercy Theresa, P. Pattunna Rajam, A. Benila, R. Indra Priyadharshini, J. Joyce Jacob
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Now a day's usage of Two-wheeler is exponentially increasing and the accidents met by them also increases every year. Even though the Safety precautions and traffic rules are there the riders are not showing interest in following the safety measures and rules. An intelligent Bike Safety and Surveillance (IBSS) is a real time system which makes a rider to follow safety measures and the rules. The System Comprise of Helmet unit & Vehicle unit with antitheft and Speed Control mode. The helmet unit ensures whether the Rider is wearing a helmet, Alcohol Consumption of the rider and the proper release of Side stand. The Vehicle unit Comprises of the Surveillance system which check and intimate if an Accident is occurred. The antitheft mode protects the vehicle from unauthorized users. The Speed control mode monitors the speed and automatically control the speed of the Vehicle. The System is implemented using Arduino UNO and ATmega 328 Microcontroller with different sensors.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:56Z
      DOI: 10.1063/5.0074199
       
  • Intelligent therapy aided by advanced computational technology

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      Authors: S. R. Senthilkumar, G. N. K. Sureshbabu, R. Reena, K. Nattar Kannan, P. Balakumar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Since from the inception of the humanity, we have been exposed to manifestations of psychological and behavioral ailments. The approach towards coping with these ailments has evolved through time with a better understanding of these issues and availability of much superior resources, pertaining to both technical and the intellectual kind. In the 21st century, a lot has been said and done in the field of information technology, revolutionizing our stance on human-technology interaction. This project shall empirically approach the viability of therapy through cutting edge modern technology and the contradictions posed by the same. With the help of accelerated Virtual Reality therapy guided through a real time proactive algorithm, our project seeks to implement exposure as a means of therapy. The exposure principle is carried out rapidly and spontaneously, as the aforesaid algorithm effectively reacts to physiological parameters of the patient. The primary goal of the project is to bridge the gaps of computational technology and psychology and promote a much necessary interaction between the fields, to empower the fundamentals through a comprehensive objective study and morally imaginative approach, thereby expanding the horizons of the aforementioned in the benefit of humanity.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:55Z
      DOI: 10.1063/5.0074507
       
  • Stress on supply chain in manufacturing industry

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      Authors: C. S. Nivedha, S. Rathika
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      This Study is projected to emphasis major impact of covid-19 a global pandemic situation in Indian economy. Now in Nationwide lockdown, supply chain is entirely affected. As companies try to find to strengthen operations and business resilience, the significance of supply chain resilience and risk management is more visible than ever. While many businesses are ready to adapt to change, companies that have not already done so should prioritize analyzing their supply chains now, to understand where they might need to make changes or take action to militate against future disruptions. The present study is descriptive nature having quantitative as well as qualitative merits. Companies need to undertake a more holistic analysis, which may lead to more drastic changes, such as moving supply chains nearby, or to different countries, as well as increasing the digitalizing of supply chains, with a view of creating a more sustainable operation for the future.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:55Z
      DOI: 10.1063/5.0074626
       
  • Optimization of performance and emission characteristics of diesel engine
           fuelled with diesel-Alexandrian Laurel biodiesel blends using Taguchi
           approach

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      Authors: Anant G. Nagpure, Walmik S. Rathod, Supriya B. Chavan
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Alexandrian Laurel biodiesel was used as an alternate diesel engine fuel in the present investigation. The effects of three input parameters, viz. load, blend proportion of Alexandrian Laurel biodiesel in diesel and compression ratio on performance and emissions of engine were investigated. The experiment trials were reduced to 9 as suggested in Taguchi approach. Three levels were selected for each input parameter with equal weightages to response variables. Experimental results were analyzed using signal-to-noise ratio (S/N ratio) to obtain optimal combination. Experiments were carried out to confirm the optimal combination of input parameters. Analysis of variance showed that the load and compression ratio were the main contributing factors for considered indices. The results of this study revealed that, for a diesel enginefuelled with diesel-Alexandrian Laurel biodiesel blends, choosing right load and compression ratio are two important factors in view of maximization of performance and minimization of emissions.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:54Z
      DOI: 10.1063/5.0074509
       
  • Knowledge discovery in heart disease dataset

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      Authors: G. Ayyappan, P. Veeralakshmi, R. Reena, S. R. Senthilkumar, N. G. K. Sureshbabu
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      A cardiovascular disease is one of the most significant causes of mortality in today's world. Cardiovascular diseases are the number one cause of death globally with 17.9 million death cases each year. CVDs are concertedly contributed by hypertension, diabetes, overweight and unhealthy lifestyles. Exploratory Data Analysis is a pre-processing step to understand the data. There are numerous methods and steps in performing EDA, however, most of them are specific, focusing on visualization and distribution. This research work finds that the optimal solution of this dataset. BayesNet, VotedPEreception, LWL, Weighted InstanceHandleWrapper and Decisionable classifiers have respectively 81.46% of accuracy level, 81.44% of accuracy level, 82.81% of accuracy level, 82.43% of accuracy level at the implementation of 40:60 Cross validation. Which is having the high accuracy level in all classifiers what we implemented except Decision Stump Algorithm. BayesNetPrduces above 81% of accuracy level at the 50:50 Cross validation; Bayes Net classifier has 81.46%,VotedPerceptorn Classifier has 81.44% of accuracy level, LWL classifier has 82.81% of accuracy level, and WeightedInstanceHandleWrapper classifier has 82.43% of accuracy level; DecisionStump classifier has 81.77% of accuracy level at the 10:90 Cross validation.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:54Z
      DOI: 10.1063/5.0074508
       
  • Ergonomic design and fabrication of stair climbing wheelchair using rocker
           bogie mechanism

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      Authors: L. Gokulanathan, S. Manikandan, A. Jegan, S. Sathishkumar, A. Mahindran, V. Suresh
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      In our country, some regular spots like offices, railway station, hospitals, bus stands, etc., is not helpful to physically challenged peoples they are not unable to get on steps. Essentially a regular wheelchair can’t help to claim the staircase. Our objective of this paper is to design a climb wheelchair on the staircase. So that impairment individuals can move autonomously move any place they need and nobody needs to help them. In this venture, we had to use the Rocker-bogie instrument to get on steps. By utilizing this component, we can climb the wheel seat not just on steps even we can proceed onward irregular surface. That is the most noteworthy benefit of the system. By contemplating every one of those we intended to design a lightweight wheelchair by utilizing the famous Rocker Bogie Mechanism that would allow the usefulness in various terrain and also claims many intricate spaces. Each wheel can contact the ground on all the sides so that this system can keep in a sturdy condition. It comprises links, connections, and wheels. The Rocker-Bogie Mobility framework was proposed to be utilized at moderate paces. It is fit for beating deterrents. Nonetheless, while moving over a sizable hindrance, the movement of the vehicle viably stops while the front wheel climbs the difficulty. It was limited to low-speed dynamic stuns. To go over a snag, the front wheels are constrained against the obstruction by the back tires. The revolution of the front wheel at that point lifts the front of the vehicle over-top the obstruction. The center wheel is then squeezed against the impediment by the back tire and pulled against the hindrance by the front until it is lifted over top. At last, the back tire is pulled absurdly by the front two wheels. During each wheel’s crossing of the obstruction, the forward progress of the vehicle is eased back or totally stopped. The primary goal is to give a solution for the problem facing by physically challenged people to climb steps without other’s help. It can help him/her to go in upstairs and uneven landscapes with little effort.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:53Z
      DOI: 10.1063/5.0074761
       
  • A study on image processing with data analysis

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      Authors: D. Chandra Prakash, R. C. Narayanan, N. Ganesh, M. Ramachandran, S. Chinnasami, R. Rajeshwari
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Image analysis is from images extracting meaningful information; mainly through digital image processing techniques from digital images. In this context, Tasks menu coded the tags are as simple as reading or a person from their face as sophisticated as identification. This paper presentation is made on various techniques used in analyzing images,like Computer view is from digital images or videos Dealing with how computers can gain a higher level of understanding Is an intermediate field of science, Machine vision (MV) is for applications such as automation Used to provide imaging based automation analysis and analysisTechnology and methods. Study, process control and robot guidance. Format authentication is the automatic recognition of methods and regulations in data. This includes statistical data analysis, signal processing, and Contains applications in image analysis. The dividing a digital several, the innovations are detailed in more detail in the text.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:52Z
      DOI: 10.1063/5.0074764
       
  • Trusted authority based secured and efficient infrastructure-less routing
           in heterogeneous vehicular adcock network

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      Authors: M. Sarvavnan, R. Lakshmi Narayanan, P. GowsikRaja
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Somewhat recently, there was creating leisure activity in Vehicular Ad Hoc Networks (VANETs). Today vehicle makers have effectively begun to outfit vehicles with best in class sensors that can offer numerous assistive abilities all in all with front impact shirking, electronic path checking, and partial self-supporting the utilization of, intriguing path changing over, etc. Such mechanical enhancements are allowing the selection of VANETs not extraordinary to give more calm and extra loosened up driving appreciate anyway moreover give many first rate helpful contributions to the riding power just as travelers of a vehicle. Nonetheless, security, confirmation and agreeable message dispersal are a component of the standard inconveniences that should be all around tended to and settled for the dazzling appropriation/arrangement of VANETs. Given the importance of those issues, analysts have spent a whole parcel of endeavor in those zones throughout a decade. We present a high level perspective on the accompanying issues that upward push up in VANETs: privatizes, confirmation, and loosened up message scattering.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:51Z
      DOI: 10.1063/5.0074765
       
  • Application of spherical fuzzy graph in traffic

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      Authors: S. M. Sudha, K. Akalyadevi, K. Preethi Sowndarya
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      In this article, the applications of spherical fuzzy graphs are discussed. The spherical fuzzy graph is dealt with the real life problems. The function of the graph is to mention the accidental zone in the traffic flows using spherical fuzzy vertex coloring. Whereas, the applications shows about how the vehicles are moving and intersecting each other. The purpose of this paper is to notify the intersection area in road map and applying that in a graph to color the nodes which calculates the chromatic number.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:51Z
      DOI: 10.1063/5.0074402
       
  • Enhancing refrigeration system efficiency by the use of nanorefrigerants/
           nanolubricants: A comprehensive review

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      Authors: Pradip Kailas Patil, Amit Kumar Gupta, Priya Mathur
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The efficiency of the refrigeration system, can be accomplished by dispersing numerous nanoparticles in the vapor compression refrigeration system's compressor oils and refrigerants, needs to be enhanced with regard to energy protection and environmental considerations. Similarly, the persistent every-day effort in the field of cooling and air- conditioning systems has involved the use of nana-refrigerants/nana-lubricants as one predominant set of applications and with the use of far more efficient eco-friendly fluids.the object of the analysis is to analyzethe effects of nanoparticles being applied to lubricants or refrigerants.this paper describes natural refrigeration fluids (refrigerants) as the perfect refrigeration fluids(refrigerants) that are environmentally sustainable and the ultimate response to ozone depletion and global warming issues. In refrigeration and air conditioning applications, hicks refrigeration fluids (refrigerants) are probably the most famous substitute to cfcs and huffs refrigeration fluids(refrigerants). This paper also explores the impact on tribological efficiency of the dispersion stabilization of nanolubricants and lubrication processes involved in improving tribological performance. Finally, it addresses the obstacles and prospects for future study.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:50Z
      DOI: 10.1063/5.0074888
       
  • Analysis and implementation of DC power and appliances in conjunction with
           solar for large independent units

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      Authors: R. Harish, G. Indira, G. Kalapriyadarshini, A. S. Valarmathy, P. Chandrakala
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Majority of the power loads at large independentunits comprises of lightning, fans and other electronic devices. These loads require a power backup in case of intermittent power cuts. A Diesel generator is commonly used to provide backup in large independent units. A Solar DC System is suggested in this paper which provides a useful way of energy efficient new able alternative for power backup. Even though a solar off-grid system has been introduced earlier, this systemis ineffective and expensive. The solar off-grid system wastes a considerable amount of power by banking on AC to DC andDCtoACconversionstoprovidebackupforAChomeloads. An overall loss of 25 to 30 percent is contributed by various conversion stages in solar off-grid. The suggested solar DC system addresses the issue of eliminating the conversion lossesfor continuous operation of DC appliances. Also, this solar dc system reduces the overall size of solar panel and battery to 2 to 2.5times.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:50Z
      DOI: 10.1063/5.0079651
       
  • Spherical neutrosophic graph coloring

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      Authors: K. Akalyadevi, C. Antony Crispin Sweety, A. R. Sudamani Ramaswamy
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      In this research article, we introduce the concept of coloring the spherical neutrosophic graph and discuss some of their properties such as union, strong spherical neutrosophic graph, complement of strong spherical neutrosophic graph and complete spherical neutrosophic graph with illustrative example.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:50Z
      DOI: 10.1063/5.0074403
       
  • Robust emotion recognition on hand crafted features in static action
           sequences

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      Authors: R. Santhoshkumar, B. Rajalingam, P. Santosh Kumar Patra, M. Narayanan, T. Poongothai, N. Satheesh, G. Jawaherlal Nehru, G. Govinda Rajulu
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The acknowledgement of human emotions plays a key role in daily life and is necessary for successful social interaction. In many applications of human computer interaction nonverbal communication methods such as human body movements, face expressions, eye movement and gestures are used, among them the recognition of emotions from human body movements, because they convey the emotions and feelings of the person. In this paper Advanced Block Based Intensity Value (ABBIV) feature is proposed for emotion recognition from human body movements and compared with Histogram of Gradient (HoG) feature. The GEMEP corpus videos for five basic emotions are converted into gray frames. Then the HOG feature and Block Based Intensity Value (BBIV) features were extracted from the body movements of the human present in the consecutive frames. Among the two features Advanced Block Based Intensity Value (ABBIV) perform better accuracy than HoG feature. The extracted features are fed to the SVM and KNN and Random Forest classifiers to identify the emotions of the human. The performance measure can be calculated using F- Score value. The five archetypical emotions (angry, fear, joy, sad, pride) from GEMEP corpus dataset are used for this experiment.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:49Z
      DOI: 10.1063/5.0079770
       
  • Permeability analysis of a frozen unsaturated soil using Van Genuchten
           model and Fredlund-Xing model in soil vision

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      Authors: Bhavita Subhashbhai Dave, Jaimin Vaidya, Chandresh H. Solanki, Atul K. Desai
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      To measure permeability, one of Darcy's law's basic concepts is that the soil sample must be saturated. Traditional methods cannot be used to calculate the permeability of unsaturated soils because it does not follow Darcy's law. Two analytical models for estimating the permeability value for unsaturated soil have been proposed: Van Genuchten Model and the Fordland-Xing Model. For frozen unsaturated soils, such models use data from the soil-water characteristic curve to determine the necessary parameters. To provide a broad range of suction in this study, soil specimens were frozen-thawed (F-T) for different degrees of saturation, and soil water characteristic curves were formulated for all F-T cycles. For both models, the changes in fitting parameters and relative permeability with subsequent F-T cycles are discussed in this paper.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:48Z
      DOI: 10.1063/5.0078681
       
  • Sequential pattern mining on chemical bonding database in the
           bioinformatics field

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      Authors: R. Manikandan, S. Belina V. J. Sara, N. Yuvaraj, Abhay Chaturvedi, S. Silvia Priscila, M. Ramkumar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      In recent decades, the bioinformatics, biology and biotechnology plays a major role in accumulation of numerous biomedical data, which offers an in-depth analysis. On other hand, with the advent of data mining research leads to the development of scalable and efficient models for mining some interesting data pattern in case of small or large databases. It is hence essential to bridge bioinformatics with data mining models for successful implementation of finding the meaning pattern in case of biological data. In this paper, we present a comprehensive survey on various data mining models that helps in analyzing the chemical bonding and its structured index in case of sequential pattern mining.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:48Z
      DOI: 10.1063/5.0074405
       
  • Lean readiness of organizations: An overview

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      Authors: K. V. Prasad, V. Vasugi
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Lean construction has been one of the recent advances which has proven to be the significantly beneficial to construction organizations to improve productivities, faster delivery of projects and enhanced value generation for all stakeholders. Lean promotes collaboration, team work, involvement of all parties concerned on the project and this requires a radical change in the organizational polies in construction industry, which are notorious for closely guarded practices. Not all organizations have been successful in implementation of the lean practices and wherever implemented the practices have not yielded the full benefits. Organizations need to prepare themselves adequately for the implementation of lean practices, for sustainable lean transformation. There have been studies across healthcare, manufacturing, higher education and manufacturing sectors to investigate thoroughly the organizational readiness before lean is implemented. No such studies have been conducted in construction sector. “Lean readiness” assessment has been found to be beneficial to make an initial evaluation of the present state of the organizations for lean implementation and make adjustments suitably in different areas to ensure lean transformation becomes successful. A review of the studies that have been carried out in other sectors has been done and the paper presents the need of organizational readiness and methodology as to how this can be applied for construction organizations.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:47Z
      DOI: 10.1063/5.0074082
       
  • An efficient prediction of diabetes using artificial neural networks

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      Authors: Awab Habib Fakih, A. Narasima Venkatesh, Vani, Mohd Naved, Pravin Ramdas Kshirsagar, P. Vijayakumar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Diabetes in the population is one of the world's main diseases. Diabetes is a chronic condition if there is either insufficient insulin in the pancreas or insulin cannot be used properly in the body. Long-term risks such as cardiac disease and liver cancer could lead to diabetes if not treated. Therefore, a timely prevalence of diabetes is very important to people around the world. In particular, the challenges to newer people and the workforce were identified as diabetes. Diabetes is tracked if patient changes in diet and lifestyle in the early days could be identified. Type 1 and type 2 diabetes were one of the most common forms of diseases; however, other types of diabetes, such as gestational diabetes pregnancy and other forms of diabetes. This paper outlines a method for predicting early diabetes, taking important risk effects into consideration. This approach uses the strategy to display a feature selection procedure. In order to construct a good subset to improve predictive performance, the selected features are assessed through the rating of design models. Ultimately, these characteristics are learned from the neural network classifier and defined.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:46Z
      DOI: 10.1063/5.0087948
       
  • Performance analysis of coffee husk with nano-SiO2 particles reinforced
           unsaturated polyester composites

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      Authors: Engdasew Gezahgn Fenklie, Balkeshwar Singh, Habtamu Beri, Mengistu Gelaw
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Nowadays, there is an increasing concern toward substituting pollutant and non-renewable synthetic fiber, and the scarce wood fibers with alternative lignocellulosic fibers that originate from agricultural residues to reinforce bio-composites. Therefore, many industries are seeking more eco-friendly materials that will decrease the level of environmental contamination and economic cost. The use of bio-based materials for the production of biocomposites is of interest due to their low cost, abundance, and the fact that they are renewable and biodegradable. Coffee is one of the most valuable primary products in the world trade and a central and popular part of Ethiopian culture. However, coffees productions generate a lot of coffee wastes and by-products, which, could be used for more applications. This research work has aimed at evaluating the performance of coffee husk powder with nano-silica reinforced unsaturated polyester composites. To investigate the performance of this composite the coffee husk was crushed, treated with 5% NaOH and dried naturally. Both treated and untreated coffee husk powder was used to produce the composite and tested. The composites were prepared as (15/85, 20/80, 25/75) weight composition for both treated and untreated coffee husk powder, the nano-silica was used 20/80 %wt of treated coffee husk. The results showed that the treated coffee husk has higher performance than the untreated coffee husk composite; while the addition of nano-silica improved the impact strength on contrary it decreased the tensile strength. The result indicates that treated coffee husk fiber can be used in composites as filler to decrease material cost. On this basis using coffee husk fiber is advantageous in decreasing cost and decrease wastes that come from coffee production. Generally treated coffee husk fiber is advantageous reinforcement to increase mechanical properties and decrease cost of the product.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:46Z
      DOI: 10.1063/5.0074085
       
  • Additive manufacturing of geopolymer structures: A review

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      Authors: M. Nithya, R. Muthukumaran
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Additive manufacturing technology finds its application in almost all the industries including medical, sports, food, and even in construction sector. Additive manufacturing popularly identified as 3D printing receives substantial importance in Construction industry because of its versatility in making complex structures without expensive formwork. With due concern about the CO2 emission during the production of Ordinary Portland Cement (OPC), researchers have focused on alternatives to OPC and there by Geopolymer concrete have been identified as promising substitute with less environmental degradation. This review paper gives emphasis on different types of additive manufacturing techniques being adopted for 3D printing of Geopolymer structures. Future scope in rheology of geopolymer concrete and its structural performance are highlighted.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:45Z
      DOI: 10.1063/5.0074880
       
  • Machine learning algorithm for improving the efficient of forgery
           detection

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      Authors: P. Vijayakumar, S. B. Hidayath Ahamed, N. Anitha, R. Yuvaraj, Kamal Gulati, Pravin R. Kshirsagar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The approach that can be found using the forgery attribute of an image is called detection of image forgery. You can detect the copy-move portion of an image using the technique of copy-move forgery detection. For Copy-Move Forgery Detection, the GLCM approach is discussed here. From all the images in the database, GLCMs are extracted and statistics such as contrast, similarity, homogeneity, and energy are obtained. The function vector is generated by these statistics. All these features are trained by the Support Vector Machine (SVM) and the authenticity of the picture is determined by the classified SVM. By calculating different parametric values, the MATLAB simulator is used to perform evaluations.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:45Z
      DOI: 10.1063/5.0074086
       
  • An efficient MIMO cognitive radio (CR) model for mid-band 5G applications

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      Authors: K. Praghash, Arjuna Muduli, M. Aditya Venkata Siva Sai Bhaskar, S. Mahfooz Ali Baig, V. Sree Lakshmi Dhatri, M. Muzammil Parvez
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The principle thought of paper to build anantennausing multiple input multiple output (MIMO) and Cognitive Radio (CR) innovations are consolidated for Mid-band 5G applications. Four antennas are developed in a solitary substrate and adequate disconnection is kept among them by utilizing shape reflector. Four-port MIMO antennacouldperform for Mid-band CR 5G applications. The least number of MIMO antenna wire components that will use system of 5G at receiver and transmitter of both ends. Accordingly, in our paper, we limit ourselves to antenna implement plan for four-port MIMO. We try to implement the 5G antenna in our concept. Dissimilar to isolate antenna implement plan for underlay CR and interweave, our point is to accomplish both underlay CR and interweave during particular antenna.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:43Z
      DOI: 10.1063/5.0074080
       
  • Network security using multi-layer neural network

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      Authors: P. Vijayakumar, C. A. Sathiya Moorthy, Makarand Upadhyaya, Pankaj Dadheech, T. Yuvaraj, Pravin R. Kshirsagar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      With computer networks rapidly expanding in the last decade, computer system safety has become a key issue. In recent years various soft-computing methods for intrusion detection systems have been proposed. This paper provides an optimization method for the visualization of and classification of intrusions based on Self Organizing Maps (SOM) and the Back Propagation Network (BPN). The performance is tested using the 99 Data from KDD Cup accessible in the UCI KDD file. This type of IDS system is used to detect and react to malicious public transport in extreme precision.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:43Z
      DOI: 10.1063/5.0074089
       
  • Garden nurture using internet of things (IoT)

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      Authors: K. Nattar Kannan, S. Anbu, P. Veeralakshmi, S. Sowmya, R. Reena
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Gardening is being in the pattern which is been considered as solid way. It should be done cautiously just as everyday consideration should be taken to acquire sound plants. The ordinary checking of cultivating will be troublesome. Because of some human blunders like constant working of engine may prompt water misfortune and influence misfortune. In the current framework they can't screen the climate conditions. Need for each dirt sort is aligned. In the proposed framework, sensor is set to screen the status of the plant for example the supplement content, water level, measure of pesticides required and it cautions when any unfamiliar organic entity enters which may influence the plant, it alarms by sending messages to PDAs and the necessary advances can be consequently provided by getting the requirements. On the off chance that the individual can't deal with plant for a specific period then the composts and water are been stacked and certain measure of valuable when required are provided naturally. In the event that an unfamiliar organic entity enters the territory, at that point picture of the living being is caught and send it to the client. At that point the pesticide is showered by manual activity through PDA. Utilizing sensors and raspberry pi through which each plant development can be checked.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:42Z
      DOI: 10.1063/5.0074517
       
  • Computational simulation of titanium alloy grade-4 subjected to severe
           plastic deformation with the aid of finite elements

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      Authors: S. Kathiresan, G. Sathi, B. Narendhiran, M. Selvakumar, T. Surulivelrajan
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Titanium along with its associated alloys predominantly utilized now a day’s especially in the fields of aerospace applications, automobiles, building equipment and many more. Since, it is an expensive material; any scrap of the material during processing will be a huge economic loss. Hence the objective of this work is to eliminate heat treatment of titaniumgrde-4 alloy(ti-6al-4v) using equal channel angular pressing (ecap). It is one of the techniques of severe plastic deformation methods (spd. after one pass at room ambient heat level using the finite element method (fem), the corresponding plastics train level sauced by equal channel angular pressing (ecap) in a ti-6al-4v billet are evaluated. Using a planestrain state, two-dimensional models were created for fem studies and analyzed for different die angles.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:42Z
      DOI: 10.1063/5.0074516
       
  • Enhanced performance in detecting phishing website based on proficient
           component based machine learning

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      Authors: Raghavan Sheeja, Narravula Mounika, Chidambaranathan Bibin, R. Nishanth, P. Umaeswari
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      As wrongdoing of utilising specialised intends to take the client's essential data, at present, phishing is a simple threat in the internet, and bad luck owed to phishing is developing relentlessly. The game plan which we are distinguishing the phishing site feature structuring is enormous. However, the precision of disclosure on an appropriate primary degree relies upon data primacy on the story. Additionally, the fact that we are separated and highlighted the various measurements are progressively completed, a downside is that removing these highlights requires much time. To name these imperative, we recommended a multidimensional thing, phishing area method dependent on an explaining discovery approach via profound learning. In the principal pace, personality confederacy acmes of the given URL are extricated and utilised for immediate classification with the aid of reflective culture, and maybe this undertaking would not require 0.33 party help or any earlier records about phishing. In the following advance, we are continually part of the URL actual highlights, code highlights, content material highlights, and the snappy class after effect of founding gaining knowledge of into multidimensional highlights. The technique can lessen the discovery time for putting an edge. Testing on a dataset containing a big kind of phishing URLs and proper URLs, the main statistics arrives at 98.99%, and the unreal positive rate is virtually 0.59%. By successfully altering the limit, the test results show that identity efficiency can be improved.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:41Z
      DOI: 10.1063/5.0074299
       
  • A review on basalt fibre reinforced polymeric composite materials

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      Authors: Vishal Fegade, M. Ramachandran, S. Madhu, C. Vimala, R. Kurinji Malar, R. Rajeshwari
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Basalt fiber (pf) is derived from basalt rock, which can be separated to form fiber, which when mixed with polymer forms basalt fiber reinforced polymer (pfrp). In this paper chemical constituent, mechanical properties and durability of bf is reviewed. Also, properties of bfrp like temperature variation and adhesion is also discussed. It is observed that bfrp is better than carbon fiber reinforced polymer when it comes to cost effectiveness and in comparison, to glass fiber reinforced polymer it got better strength therefore becoming a good alternative to other fiber materials. Bfrp has high flexural strength and better adhesion as compared to cfrp and gfrp, when temperature increases mechanical and thermal properties of bfrp reduces remarkably.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:41Z
      DOI: 10.1063/5.0074178
       
  • An artificial intelligence based algorithm for prevention of Covid

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      Authors: Anand Mohan, E. Kodhai, Makarand Upadhyaya, K. Thilagam, Ashim Bora, P. Vijayakumar, Pravin R. Kshirsagar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The goal to promote human limits is for Artificial Intelligence (AI). It takes a posture on public administrations, represents the increasing availability of regaining clinical data and the rapid creation of intelligent strategies. The need to stress the need to use AI in the fight against the COVID-19 crisis. The paper outlines the main role played by Ai technologies in this unprecedented war and introduces a survey of AI methods used for multiple purposes in the fight against the outbreak of COVID-19. This paper also explains how the body temperature and coughing of the incoming person are assessed and whether the incoming person has not a protective facial mask. Should either of the above tests disqualify the participant, an alarming device invokes the local officials; the entrant may otherwise enter the premises after his/her hand has been sanitized.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:40Z
      DOI: 10.1063/5.0074170
       
  • An overview of Indian stock market and its efficiency

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      Authors: Ramkrushna Mishra, Neha Gupta
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The Indian stock market nation investment must share and stock market the owners for broker commission annual income based 2 or 5 % giving in money. The Indian capital soared demand is gold has proved to be very attractive investment opportunity. Then input or output physically in the doing it. But now is online process in inflation and investment GDP, export, import, positive. we are over viewing the Indian stock market and its efficiency. When we talk about Indian stock markets, most of the people who invest have only heard of two stock exchanges in India - the Bombay Stock Exchange (BSE) and the National Stock Exchange.A blue chip is a nationally recognized, well-established, and financially excellent company. Blue-chip companies are aware of the weather fall and operate profitably in the face of adverse economic conditions, which contribute to a long record of sustainable and reliable growth. Simple collections of poker chips include white, red and blue chips, tradition says that the value of the blues is very high. If a white chip is worth $ 1, a red is usually worth $ 5, and a blue is $ 25. Tesla is officially a blue-chip stock. Electric Vehicle Company S&P 500, U.S. The company that joins the stock market index and oversees the benchmark announced on Monday. Companies operate primarily with the aim of making profits, and they continue to strive to further develop these profits. However, it is the various strategies and decisions they take in this process that shape the path to growth. This factor distinguishes good companies from bad companies and makes a profit from non-profits. Profitable ones bring significant returns to their shareholders. The growth of a company comes not only with the scale but also with the efficiency of the operations, which is a gradual process. Strategies taken by management create or break the path to growth, and we as investors should always study the business model of a company. It is essential to have a macro perspective when running a business and keep in mind various factors such as government policy, interest rates, shareholder claims (including debt and shareholders).
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:40Z
      DOI: 10.1063/5.0074179
       
  • Evaluation of knowledge, attitude and practice towards splatter/aerosol
           and air borne isolation precautions among dental professionals during
           Covid-19 pandemic-A cross sectional study

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      Authors: N. Vidhyasankari, R. Sonali, S. Santhakumari, R. Ramesh, S. Senthilkumar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      COVID-19 has become a serious issue worldwide. With the increasing cases of COVID-19. It has become necessary for the dentists to have knowledge about the disease and the precautions to be taken to prevent the aerosol contamination. Thus, the aim of this study was to assess the awareness of dentists towards the precautionary measures to be taken during the pandemic. An online questionnaire was prepared and distributed to dentists in Tamil Nadu state of India. Convenience, purposive and willing to participate sampling technique was used. The closed end questionnaire consisted of four sections, which included questions about demographics, knowledge regarding covid-19 and aerosol contamination, attitude assessment and practice of the dentists. The acquired data was subjected to statistical analysis and the results were interpreted.A significant number of dentists were found to have good knowledge and practice regarding aerosol contamination. It is important for the dentists to follow the necessary precautions in the clinics to continue a safe and sound practice even during the pandemic. Even though the respondents of the present study seemed to have sufficient knowledge, still there exist a knowledge gap regarding the various precautions to be followed.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:39Z
      DOI: 10.1063/5.0074172
       
  • Identification of people affected from Corona virus using artificial
           intelligence

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      Authors: Santosh Kumar Sahoo, V. Sekar, Someshwar Siddi, Aravind Kumar M., T. Yuvaraj, Pravin R. Kshirsagar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Diagnosis Covid-19 had used machine learning and artificial intelligence education that accurately identifies the Covid-19's probability. The suggested method is aimed of measuring the probability of respiratory illnesses, the oxygen levels and the sufferer's temp. Several of its aims is to verify the Covid-19 patient (e.g. symptoms such as pneumonia). The structure integrates a sample position consisting of an ATS, an ATS, an IR temperature control device and a computer consisting of a data object. The digital sound unit incorporates stethoscopes that are placed on the inside of a mattress on a test facility and attached to a transmitter device that is attached by a sound chord to the machine. The pulses oxygen concentrator is supplied with an oxygen saturation sensor mounted on the right shoulder of a test facility and attached to the OLED monitor, buzzer and computer. The IR temperatures inspector consists of an IR temperature sensor that is housed in an OLED monitor, bell chimes and monitor mostly on upper arms of the test facility. It should be remembered that perhaps the level of the patient will be changed in both units. A machine learning algorithm is included within the specific element. Covid-19 diagnosis device, accessible on a device attached to all the methods mentioned earlier.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:38Z
      DOI: 10.1063/5.0074173
       
  • Effect of thermal ageing temperature and time on the mechanical properties
           of CNT/GFRP composites

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      Authors: K. Sravanthi, B. Nageswara Rao, V. Mahesh
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Carbon Nanotube (CNT), owing to its excellent overall properties, is the most studied nano carbonate fillers for polymer-based composite manufacture. The mechanical behavior of the CNT/GRP composite explored in our previous work. The composite having four percentage of CNT in 5 layers of woven glass fibre with Epoxy matrix-based polymer composite yielded the best results. The present work carried with extension to that the composites subjected to thermal ageing for the different ageing temperature of 60,120 and 180(°C). The composites exposed to different time durations like 120 min, 240 min and 360 minutes in a closed climate chamber. The composite specimens shaped from the panel made of [0/90]5 Glass fibre with a four wt percentage of CNT in the epoxy matrix. Tensile and flexural tests carried as per the standards of ASTM. Outcome of the study gives that the CNT/GFRP/Epoxy composite material mechanical properties are significantly affected by thermal ageing.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:38Z
      DOI: 10.1063/5.0074294
       
  • Swallow swarm fuzzy C-Means algorithm (SSFCM) and distributed processing
           framework for big image data

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      Authors: Vigneshwari, Kalaiselvi
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The recent period of image gathering process cannot be manipulated effectively on the system because of huge set of images and due to the high expenditure costs for the algorithms used to process on the recent images. Therefore, the processing of an image needs the help of distributed computing concepts. The subject named distributed computing is considered to be a complex area which requires sound technical learning and cannot be utilized by the research conducted so as to develop on the algorithms used for image processing; all the existing works are more concentrated on the optimization process used for processing the images with the aid of algorithms like-wise completely ignoring the inherent deficiency of an individual node-based processing method, where the quality of the image looks poor. In order to rectify this problem, static big image is processed by Image Cloud Processing (ICP) is a technique, which is proposed on modern days, which contains 2 different parts of processing methods i.e. SICP and DICP, so as to obtain the dynamic input of the static big image. The techniques used in the processing of small images are SICP and DICP that limits the capabilities of processing and the even images are broken down, at the time of cluster failure, when it needs to process the clusters on the timely basis. In order to rectify this problem, this paper proposes the design of Swallow Swarm Fuzzy C-Means Algorithm (SSFCM) based distributed processing framework for the clustering of images because of their poor requirements for computations. This work includes pre-processing of images with the help of image enhancement using Histogram Equalization (HE) and Adaptive Median Filtering (AMF). So as to accomplish SICP, 2 novel representations named Pure-image and Big-image are modeled to combine and execute by means of the algorithm named SSFCM-Map Reduce (SSFCM-MR) to attain large number of optimized configurations. In the formulated work, SSFCM algorithm is implemented through the Reduce Cluster to deal with the issues associated with clustering of a large image. DICP is implemented by means of a technique called as processing in parallel procedural working along with the traditional methods used for processing using the distributed system. The important feature of design in SSFCM-MR is the usage of affluent resources used for resources, given by the distributed system in the implementation of efficient parallel processing techniques. The output of the experiments of Corel-10k dataset are chosen to validate the potential of the formulated SSFCM-MR layout over the conventional state of arts techniques, in terms of efficiency and the standard of results.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:37Z
      DOI: 10.1063/5.0074295
       
  • Eminent method of voice identification by applying pitch, intensity and
           pulse

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      Authors: Pharindra Kumar Sharma, Saptarshi Gupta, Aditya Agarwal, Neeraj Sahu, M. Vinothkumar, ManojKumar Vishnoi, Amit, Anurag Singh
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Speaker recognition entrust to the procedure of identifying person voice using acoustic characteristics techniques.voicerecognitiontechnologies are generally applied in voice verification, security and surveillance and human identity. In the voiceidentification method, removing special features from voice statement is avitalwork to as matter of fact identify speakers. Different features for voice identification have been lately proposed by researchers. Most previous work on voice recognitionhave make use of pitch, due to their caliber to capture the efficiency of signals. Too many studies have shown the efficiency of acoustic features in properly identifythe voice. Though, the accuracy of these features down on complex speech data's, and so, these features are unsuccessful to properly identify voice. To deal with this problem, this work proposed a novel technique as based on text dependent speaker identification system using an acoustic feature as pitch, intensity and pulse. The conventional statistical method is used to calculate the pitch. In this framework, first of all remove the 65dbof intensity from the whole signal which remove the noise and thereafter obtained absolute voice signal is estimated by praat simulation tooland pitch value of signal and total number of pulses obtained.after the above process mean and standard deviation of the pitch is calculated. In the training stage the voices samples are collected from 16 different persons (male and female) and after analysis is done. Three words “hello”, “up” and “turn on” are used and from each word produce a separate identification rate. In conclusion all the persons are indentified successfully based on the samples.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:37Z
      DOI: 10.1063/5.0074174
       
  • Comparative analysis of various objective weight allocation methods for
           TOPSIS and MOORA in EDM machining

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      Authors: Zeeshan Mustafa, Vikas Kumar, Shaik Mahaboob Sharief, Momin Mohammad Ameen
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Multi-Criteria Decision-making (MCDM) is used in all areas of decision making in engineering but is especially advisable for the resolution of machining procedure parameters for getting the required properties. Electro discharge machining (EDM) is a very popular non-traditional machining technique which is appropriate for machining of any electrically conducting material irrespective of its hardness. The use of MCDM method for the decision on most suitable EDM process parameters is of significant interest to researchers due to the non-linear relationship between the input and response parameters. In the present work, two popular MCDM methods— TOPSIS and MOORA are used to get optimal choices of the EDM process parameters. Also, in MCDM, allocation of weight plays a vital rule for the selection of best alternatives. Thus, three different objective weight allocation methods— mean weight method (MW), standard deviation method (SDV) and entropy method (EN) are used. From the results it has been observed that there is no such variation of rank among the alternatives by considering these two MCDM methods and the weight calculation process which shows the robustness of the techniques.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:36Z
      DOI: 10.1063/5.0074968
       
  • Effect of silicon carbide and aluminium oxide in mechanical properties of
           aluminium alloy 6061

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      Authors: J. Yasin, M. Kumaresan
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Hybrid matrix composite was prepared by the stir casting method and mechanical characterizations of reinforced aluminium alloy 6061 were examined. In this AMC fabrication, alumina and silicon carbide particles with diameters of 25lm, 35 lm are used as a reinforcement combination. Numerous examinations have shown that expanding the measure of Silicon carbide particles in a composite which improves its strength, so an endeavor was made to do a trial with 12, 15 and 20 wt % of silicon carbide blended with constant 8 wt% alumina in the experiment. A result shows that the optimum reinforcement composite gives better mechanical properties.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:36Z
      DOI: 10.1063/5.0074175
       
  • Spectrum sensing performance analysis of wireless regional area network
           using energy detection spectrum sensing approach

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      Authors: Rahul Koshti, Manisha
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Spectrum detecting is always a critical cycle of cognitive radio (CR) networks to recognize the accessibility of range to forestall harmful interference with licensed user and to improve the utilization of range. With increment in no. of users, higher no. of channel is required. WRAN is framework which utilizes 2048 no. of channel. With increment in the no. of channels, the performance of spectrum sensing detecting measure is influenced because of false alarm and furthermore expands the sensing time. In this paper, energy detection based spectrum sensing has been applied for WRAN based CR framework. The probability of detection is taken the key boundaries which is examine for various probability of false alarm, for various SNR esteems and for various time length of receiver signal.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:35Z
      DOI: 10.1063/5.0074189
       
  • Optimisation of machining parameters for colmonoy hard faced on stainless
           steel in wire cut EDM

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      Authors: T. Vijayaraj, G. Ramalingam, V. Janakiraman, P. Vijayaraghavan, T. Vinithra banu
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      For sodium cooled reactor, Stellite hard faced on stainless steel was used since it has good resistance to Na corrosion. But substitutes are needed for Stellite because of activation under neutron influence. Colmonoy is chosen as a substitute because of its equivalent mechanical properties. This paper presents the optimization of wire electrical discharge machining (WEDM) process parameters such as pulse on time (Ton), pulse off time (Toff) and wire tension (WT) to yield maximum material removal rate (MRR) and minimum surface roughness (Ra) of colmonoy hard faced on stainless steel. The machining experiments were carried out according to the Taguchi parametric design (L9) using 0.25 mm diameter brass wire as a cutting tool. In addition, the regression equations were also established between the process parameters and responses.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:35Z
      DOI: 10.1063/5.0074982
       
  • Characteristic based spam detection system to reveal the mock appraise in
           online social media

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      Authors: M. Sirija, Jayashankari, R. Kalpana, B. Umamaheswari, A. Shanthakumari
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Online thing overviews have transformed into a crucial wellspring of customer notions and arrangements. The dangers that anyone can eliminate an examination give an awe inspiring opportunity to spammers to make spam studies about things and associations for different interests. Seeing these spammers and the spam content is a wildly discussed issue of assessment and inspite of the way that an inconceivable number of concentrates have been done starting late toward this end, so far the systems put forth still barely see spam outlines, and none of them show the hugeness of each detached section type. The proposed work which uses spam features for demonstrating reviews datasets as heterogeneous data systems to arrangement spam disclosure strategy into a depiction issue in such structures. The outcomes show that spam acknowledgment relies upon four classes of highlights; including client social, audit conduct, client etymological, survey semantic, the essential sort of highlights performs better than substitute orders. The responsibility of this work is that it helps the customers as spam customers and show all best k - things similarly as recommendation of the thing.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:34Z
      DOI: 10.1063/5.0074501
       
  • Reclamation of extraordinary utility items in the multi-level catalogue

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      Authors: Rekha Baghel, B. Arunadevi, D. Saravanan, D. Stalin David, Bhawna Singh, U. Palani
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Utility mining is the central area of data mining that reveals a data set with high-use items (HUIs). To date, several techniques to extract HUIs in a single component database have been projected. According to the literature survey, multilevel data sets do not have utility mining algorithms. HUIs of a multilevel data set is the primary goal of this work. This paper proposes to find HUIs in a multilevel dataset with a unique utility mining algorithm called MUMA (Multilevel Utility Mining Algorithm). To supply the valuable data of both the item set, MUMA utilizes a parse tree known as MUMT, a multi-layered efficiency mining tree. This tree produces candidate item sets that reduce the method’s space complexity. The research has also suggested a reinforced tree-based algorithm called MU UP Mining, Multilateral Utility Mining, MU UP, and Lexicographic Tree (MU LG). The study also proposed an enriched tree-based algorithm. These experiments are done using various datasets such as transaction datasets, weblog data, and synthetic datasets, with all the suggested algorithms. Each dataset evaluated performance factors such as performance time, reminiscence space, the number of potentially high utilities, and the number of HUIs collected on each level.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:34Z
      DOI: 10.1063/5.0074502
       
  • Grid connected solar power conditioning unit based on active damping

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      Authors: Reddy Ganesh, Naarisetti Srinivasa Rao
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The dimension of power generation in the world is going in the new direction with the addition of renewable energy, solar photovoltaic (PV) generation in particular. This situation demands design and development of efficient power conditioning systems to extract maximum power from available sun radiation in the vicinity of solar grid. The international standards of grid connected solar systems force the developers to build conversion systems that deliver power with Total Harmonic Distortion (THD)
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:33Z
      DOI: 10.1063/5.0074181
       
  • Public opinion on a solution to hunger crisis: A case of one nation one
           ration scheme amid Covid-19 in India

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      Authors: Manpreet Kaur, Abhishek Sharma
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Purpose: During COVID-19, migrant labourers had suffered the most in India for which the Indian government has launched One Nation One Ration scheme to provide ration under the Public Distribution System. But this scheme has received mixed reactions from the public and created buzz on Twitter. This study aimed to identify the most frequent topics in tweets discussed by the public, along with the sentiments associated. Methodology: The current study is exploratory and descriptive based analysis of the text extracted from Twitter. Total 11,504 tweets were extracted using R Software and analyzed by applying NRC based sentiment analysis and Louvain Method of network analysis. Findings: Identified eleven clusters of topics which were discussed the most in response to the scheme ONOR with particular focus on providing ration to migrants amid COVID-19. Amongst anger, fear, anticipation, trust, surprise, sadness, joy, and disgust; trust is found to be more for the scheme by the public. Originality: This study has contributed by exploring the public opinion for the government’s Public Distribution Scheme to overcome hunger crisis using machine learning techniques.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:33Z
      DOI: 10.1063/5.0074625
       
  • Image fusion based on DTDWT to improve segmentation accuracy in tumour
           detection

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      Authors: K. K. Senthilkumar, G. Kalanandhini, A. R. Aravind, G. Vijayalakshmi, J. Gayathri
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      This paper provides an overall view of the basic algorithms and methods used in image fusion. Image fusion is a process where we extract the overall information from the input images which reduces redundancy. Three basic principles that are used in image fusion is the weighted average image fusion method which is the first method used, Maximum level based image fusion method is the second method used and Principal Component Analysis is the third method used. This work proposed a improved Dual Tree Complex Wavelet Transform (DTCWT) method. The main advantage of using this method is that it is highly directional and also it overcomes spectral efficiency and the area where the tumour is been exactly present in the brain is been determined for which morphological operation such as erosion and dilation are used and also segmentation process such as threshold segmentation is used and also the bounding box methods are used. The results are obtained in such a manner that it produces the enhanced properties of the image.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:32Z
      DOI: 10.1063/5.0074183
       
  • Evaluation of retention and stability of locator and ball attachment
           mandibular overdenture retained on a single median implant - An invitro
           study

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      Authors: N. Vidhyasankari, C. Dhineshkumar, S. V. Shanmugapriya, S. Senthilkumar, R. Ramesh
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Aim: The purpose of this study was to evaluate and compare the retentive and stability values of locator and ball attachments retained on mandible with single median implant overdenture. Methods and Material: In this experimental study, an edentulous mandibular acrylic model was fabricated for testing the test dentures and two gypsum stone models of the same was made for fabricating the test dentures. A total of twenty test dentures, ten each for Group A [Locators] and Group B [Ball and O Ring attachment] were made. Later the retention and stability values of Group A and Group B test dentures were recorded by subjecting them to vertical, oblique and posterior dislodgement tensile forces on a Universal testing machine. Statistical analysis used: Statistical analysis data were tested for normality using Shapiro wilks test. Unpaired Student t test were used to compare retentive and stability values of locator and ball attachments retained on single implant retained over denture. Results: When the results of all the three tests were compared, it was clearly seen that the resistance to vertical dislodging forces were higher followed by the anteroposterior horizontal rotational forces and the oblique horizontal rotational forces. Conclusions: On evaluation and comparison of ball attachment and locator supported mandibular overdenture retained on a single median implant,ball abutment provides better retention by its bracing effect whereas locator offers ideal retention and stability with adequate freedom of rotation along the three dimensional aspects thereby providing necessary retention and stability to mandibular dentures.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:31Z
      DOI: 10.1063/5.0074184
       
  • A contemporaneous input vector monitoring Bist architechture using memory

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      Authors: Priscilla Packia Slacer, R. Indra Priyadharshini, A. Benila, P. Pattunna Rajam, J. Joyce Jacob
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      A Contemporaneous Input vector noticing Build in Self-Test(BIST) plans perform checking all through the standard action of the circuit while not require to line the circuit offline to play out the test. These plans square measure evaluated maintained the gear overhead and conjointly the Concurrent test latency (CTL), i.e., the time needed for the check to complete, however the circuit works typically. This paper presents a novel data vector insight contemporaneous BIST subject, that depends upon the chance of discernment a group (called window) of vectors showing up at the circuit commitments all through traditional movement, and conjointly crafted by memory to store the overall territories of the vectors that show up at the circuit commitments at ranges the broke down window; The orchestrated point is seemed to perform broadly higher than earlier organized plans with the hardware overhead and unusual check Latency bargain. The CTL cost is diminished to nanoseconds. The CTL cost is customarily in milliseconds for previously mentioned orchestrated systems.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:30Z
      DOI: 10.1063/5.0074185
       
  • AWS cloud computing platforms deployment of landing zone - Infrastructure
           as a code

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      Authors: V. Kartheeyayini, S. Madhumitha, G. Lalitha, C. Jackulin, Kavitha Subramanian
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The concept of this project is to create infrastructure as code dynamic infrastructure platforms to deploy and manage different applications design like, microservicesapplications, iot applications, legacy applications etc. so the application needs the infrastructure which supports both legacy and micro services with automations in all environments. The main concept is to move the legacy application to self-healing, self-management infrastructure cloud environment. A variety of tools exist that manage the infrastructure provisioning and use scripts to define the final state of the hardware to be deployed in the cloud. However, there are major challenges that need to be addressed to automate the infrastructure management so that they are effectively used in initiatives such as devops. In particular, the management of infrastructure as a code (iac) is one of the most important technical challenges to support activities such as the integration, deployment, and continuous delivery of applications. to address this problem, we present a support for the management of devops tools, through the definition of a domain specific language (dsl) based on the concept of infrastructure as a code, and a tool that supports this language allowing to model the final state of a provisioning infrastructure in the cloud and generating the provisioning scripts for the Amazon web services (aws) platform. The proposed tool reduces the work for development and operations personnel and facilitates their communication.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:29Z
      DOI: 10.1063/5.0079757
       
  • Application of mixed teaching method in teaching nursing process

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      Authors: Sakshi, Chakrapani Chaturvedi
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Mastering of even a simple nursing care skill to complex Nursing Process require Teachers as well as Learners Commitment. Learning nursing process is not a one-day task for any student. This study intended to meet the learning need of beginner Nursing student in drafting Nursing care plan by using mixed teaching methods during Coved 19 pandemic. 80 student nurses were registered for this study in traditional teaching group of classroom (control) and combined teaching method group (intervention) randomly. A planned program was developed named CLH.Com to teach nursing process and developing standard nursing care plan. This program was based on application of combined teaching methods. knowledge questionnaire was administered whereas practice was assessed by drafting of Nursing care plan individually. satisfaction of students was observed by 3 point Likeart scaling. Mean knowledge of both experimental and control group was compared after knowledge questionnaire and practice assessment. A huge enhancement in mean score was observed with combined teaching methods in mean knowledge 9.7±1.66 and practice score -In intervention group.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:22Z
      DOI: 10.1063/5.0074187
       
  • Bluetooth technology on IoT using the architecture of Piconet and
           Scatternet

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      Authors: G. Kalanandhini, A. R. Aravind, G. Vijayalakshmi, J. Gayathri, K. K. Senthilkumar
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Bluetooth - a short distance, powerful wireless technology for exchanging data from random and mobile devices, creating personal area networks (PANs). Active range of Bluetooth devices 10 meters. Bluetooth uses a radio technology called FH-SS. Supports the WLAN- Ad Hoc Network (e.g. no need to connect communication devices by sharing information). Devices with Tran's receivers are able to establish a Bluetooth connection. IoT Technology therefore exchanges information extensively with other local servers. To connect more than 8 devices via Bluetooth, Scatternet is widely used to avoid device collisions. To support secure access control systems for industrial and commercial purposes, tool development is used to improve data rate and multi-location integration using Bluetooth technology. This paper uses the OSI reference model to transfer data sharing between devices with Bluetooth connection stack functionality. Different data profiles for different applications are sent via ACL and repeated several times in L2CAP under the link data layer. Therefore the higher layers of power of the Bluetooth Stack accelerate the level of information sharing and cover a wider area.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:22Z
      DOI: 10.1063/5.0074188
       
  • Investigation of wear behaviour and surface roughness of zirconium coated
           315 stainless steel

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      Authors: C. Devanathan, C. T. Muthiah, S. Dhandapani, R. Giri, G. Suresh
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      The wear and surface characteristics of the products are very important to decide the quality of the products. The surface engineering is a multidisciplinary task intended to tailor made the properties of the engineering components due to which their serviceability and function can be improved. In the present experimental work, SS 315 austenitic stainless steel was chosen as substrate materials and zirconium powder was coated on substrate using physical vapour deposition technique. The coated and uncoated specimens were tested for its surface finish by non-contact surface roughness tester and wear characteristics using pin on disc apparatus. The results were compared and it revealed that the surface finish of the zirconium coated specimen is higher than uncoated specimen due to the deposition of the fine particles over the substrate. It was noticed that the weight loss of coated specimen is less than uncoated specimen. The wear rate of the coated and uncoated specimen was calculated as 2.14 grams/m and 3.57 grams/m respectively. The wear resistance of the coated specimen was improved over uncoated specimen. The specific wear rate of the coated specimen was observed as 0.107 grams / Nm and uncoated specimen was observed as 0.1785 grams/Nm.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:21Z
      DOI: 10.1063/5.0074980
       
  • Preface: Recent Trends in Science and Engineering

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      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.

      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:20Z
      DOI: 10.1063/12.0006698
       
  • A study on various methodologies used for analyzing the Indian stock
           market

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      Authors: Neha Gupta, Ramkrushna Mishra
      Abstract: AIP Conference Proceedings, Volume 2393, Issue 1, May 2022.
      Daily data of companies based on the January 1, 1991 to December 31period Bombay Stock Exchange (BSE) -200 index 2012 was analysed using various methodologies. In this paper we discuss aboutRandom Walk, Unit Root Test, Granger Causality, Vector Error Correction Model, Johansen Cointegration, and ARIMA. If the Indian stock markets are efficient, the need for government intervention is minimal. On the other hand, the inefficient stock market offers opportunities for profitable transactions. Unit root model two endogenous structural breaks errors presence Granger cause is technique for whether determining another method is effective of predicting. Normally,reflect setbacks "just" relationships. If variable A in the presence of lagged about another lagged information on a variable B provides any statistically significant information The VECM tries to correct the drawbacks of the Engle-Granger approach. Industrial Production Schedule.
      Citation: AIP Conference Proceedings
      PubDate: 2022-05-19T07:45:20Z
      DOI: 10.1063/5.0074180
       
  • Facile synthesis of rock candy shaped silver doped zinc oxide and its
           anti-diabetic activity

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