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  Subjects -> ELECTRONICS (Total: 202 journals)
Showing 1 - 200 of 277 Journals sorted alphabetically
Acta Electronica Malaysia     Open Access  
Advanced Materials Technologies     Hybrid Journal  
Advances in Electrical and Electronic Engineering     Open Access   (Followers: 9)
Advances in Electronics     Open Access   (Followers: 99)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (Followers: 8)
Advances in Power Electronics     Open Access   (Followers: 39)
Advancing Microelectronics     Hybrid Journal  
American Journal of Electrical and Electronic Engineering     Open Access   (Followers: 28)
Annals of Telecommunications     Hybrid Journal   (Followers: 9)
APSIPA Transactions on Signal and Information Processing     Open Access   (Followers: 9)
Archives of Electrical Engineering     Open Access   (Followers: 15)
Australian Journal of Electrical and Electronics Engineering     Hybrid Journal  
Batteries     Open Access   (Followers: 9)
Batteries & Supercaps     Hybrid Journal   (Followers: 4)
Bell Labs Technical Journal     Hybrid Journal   (Followers: 31)
Bioelectronics in Medicine     Hybrid Journal  
Biomedical Instrumentation & Technology     Hybrid Journal   (Followers: 6)
BULLETIN of National Technical University of Ukraine. Series RADIOTECHNIQUE. RADIOAPPARATUS BUILDING     Open Access   (Followers: 2)
Bulletin of the Polish Academy of Sciences : Technical Sciences     Open Access   (Followers: 1)
Canadian Journal of Remote Sensing     Full-text available via subscription   (Followers: 47)
China Communications     Full-text available via subscription   (Followers: 9)
Chinese Journal of Electronics     Hybrid Journal  
Circuits and Systems     Open Access   (Followers: 15)
Consumer Electronics Times     Open Access   (Followers: 5)
Control Systems     Hybrid Journal   (Followers: 304)
ECTI Transactions on Computer and Information Technology (ECTI-CIT)     Open Access  
ECTI Transactions on Electrical Engineering, Electronics, and Communications     Open Access   (Followers: 2)
Edu Elektrika Journal     Open Access   (Followers: 1)
Electrica     Open Access  
Electronic Design     Partially Free   (Followers: 123)
Electronic Markets     Hybrid Journal   (Followers: 7)
Electronic Materials Letters     Hybrid Journal   (Followers: 4)
Electronics     Open Access   (Followers: 108)
Electronics and Communications in Japan     Hybrid Journal   (Followers: 10)
Electronics For You     Partially Free   (Followers: 103)
Electronics Letters     Hybrid Journal   (Followers: 26)
Elkha : Jurnal Teknik Elektro     Open Access  
Energy Harvesting and Systems     Hybrid Journal   (Followers: 4)
Energy Storage     Hybrid Journal   (Followers: 1)
Energy Storage Materials     Full-text available via subscription   (Followers: 4)
EPE Journal : European Power Electronics and Drives     Hybrid Journal  
EPJ Quantum Technology     Open Access   (Followers: 1)
EURASIP Journal on Embedded Systems     Open Access   (Followers: 11)
Facta Universitatis, Series : Electronics and Energetics     Open Access  
Foundations and Trends® in Communications and Information Theory     Full-text available via subscription   (Followers: 6)
Foundations and Trends® in Signal Processing     Full-text available via subscription   (Followers: 10)
Frequenz     Hybrid Journal   (Followers: 1)
Frontiers of Optoelectronics     Hybrid Journal   (Followers: 1)
IACR Transactions on Symmetric Cryptology     Open Access  
IEEE Antennas and Propagation Magazine     Hybrid Journal   (Followers: 100)
IEEE Antennas and Wireless Propagation Letters     Hybrid Journal   (Followers: 81)
IEEE Embedded Systems Letters     Hybrid Journal   (Followers: 56)
IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology     Hybrid Journal   (Followers: 2)
IEEE Journal of Emerging and Selected Topics in Power Electronics     Hybrid Journal   (Followers: 52)
IEEE Journal of the Electron Devices Society     Open Access   (Followers: 9)
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits     Hybrid Journal   (Followers: 1)
IEEE Letters on Electromagnetic Compatibility Practice and Applications     Hybrid Journal   (Followers: 3)
IEEE Magnetics Letters     Hybrid Journal   (Followers: 7)
IEEE Nanotechnology Magazine     Hybrid Journal   (Followers: 42)
IEEE Open Journal of Circuits and Systems     Open Access   (Followers: 2)
IEEE Open Journal of Industry Applications     Open Access   (Followers: 2)
IEEE Open Journal of the Industrial Electronics Society     Open Access   (Followers: 2)
IEEE Power Electronics Magazine     Full-text available via subscription   (Followers: 77)
IEEE Pulse     Hybrid Journal   (Followers: 5)
IEEE Reviews in Biomedical Engineering     Hybrid Journal   (Followers: 22)
IEEE Solid-State Circuits Letters     Hybrid Journal   (Followers: 2)
IEEE Solid-State Circuits Magazine     Hybrid Journal   (Followers: 13)
IEEE Transactions on Aerospace and Electronic Systems     Hybrid Journal   (Followers: 363)
IEEE Transactions on Antennas and Propagation     Full-text available via subscription   (Followers: 74)
IEEE Transactions on Automatic Control     Hybrid Journal   (Followers: 59)
IEEE Transactions on Autonomous Mental Development     Hybrid Journal   (Followers: 8)
IEEE Transactions on Biomedical Engineering     Hybrid Journal   (Followers: 38)
IEEE Transactions on Broadcasting     Hybrid Journal   (Followers: 13)
IEEE Transactions on Circuits and Systems for Video Technology     Hybrid Journal   (Followers: 26)
IEEE Transactions on Consumer Electronics     Hybrid Journal   (Followers: 45)
IEEE Transactions on Electron Devices     Hybrid Journal   (Followers: 19)
IEEE Transactions on Geoscience and Remote Sensing     Hybrid Journal   (Followers: 221)
IEEE Transactions on Haptics     Hybrid Journal   (Followers: 4)
IEEE Transactions on Industrial Electronics     Hybrid Journal   (Followers: 76)
IEEE Transactions on Industry Applications     Hybrid Journal   (Followers: 40)
IEEE Transactions on Information Theory     Hybrid Journal   (Followers: 26)
IEEE Transactions on Learning Technologies     Full-text available via subscription   (Followers: 12)
IEEE Transactions on Power Electronics     Hybrid Journal   (Followers: 79)
IEEE Transactions on Services Computing     Hybrid Journal   (Followers: 4)
IEEE Transactions on Signal and Information Processing over Networks     Hybrid Journal   (Followers: 14)
IEEE Transactions on Software Engineering     Hybrid Journal   (Followers: 79)
IEEE Women in Engineering Magazine     Hybrid Journal   (Followers: 11)
IEEE/OSA Journal of Optical Communications and Networking     Hybrid Journal   (Followers: 16)
IEICE - Transactions on Electronics     Full-text available via subscription   (Followers: 12)
IEICE - Transactions on Information and Systems     Full-text available via subscription   (Followers: 5)
IET Cyber-Physical Systems : Theory & Applications     Open Access   (Followers: 1)
IET Energy Systems Integration     Open Access   (Followers: 1)
IET Microwaves, Antennas & Propagation     Hybrid Journal   (Followers: 35)
IET Nanodielectrics     Open Access  
IET Power Electronics     Hybrid Journal   (Followers: 59)
IET Smart Grid     Open Access   (Followers: 1)
IET Wireless Sensor Systems     Hybrid Journal   (Followers: 18)
IETE Journal of Education     Open Access   (Followers: 4)
IETE Journal of Research     Open Access   (Followers: 11)
IETE Technical Review     Open Access   (Followers: 13)
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)     Open Access   (Followers: 3)
Industrial Technology Research Journal Phranakhon Rajabhat University     Open Access  
Informatik-Spektrum     Hybrid Journal   (Followers: 2)
Instabilities in Silicon Devices     Full-text available via subscription   (Followers: 1)
Intelligent Transportation Systems Magazine, IEEE     Full-text available via subscription   (Followers: 13)
International Journal of Advanced Research in Computer Science and Electronics Engineering     Open Access   (Followers: 18)
International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems     Open Access   (Followers: 12)
International Journal of Antennas and Propagation     Open Access   (Followers: 11)
International Journal of Applied Electronics in Physics & Robotics     Open Access   (Followers: 4)
International Journal of Computational Vision and Robotics     Hybrid Journal   (Followers: 5)
International Journal of Control     Hybrid Journal   (Followers: 11)
International Journal of Electronics     Hybrid Journal   (Followers: 7)
International Journal of Electronics and Telecommunications     Open Access   (Followers: 13)
International Journal of Granular Computing, Rough Sets and Intelligent Systems     Hybrid Journal   (Followers: 3)
International Journal of High Speed Electronics and Systems     Hybrid Journal  
International Journal of Hybrid Intelligence     Hybrid Journal  
International Journal of Image, Graphics and Signal Processing     Open Access   (Followers: 16)
International Journal of Microwave and Wireless Technologies     Hybrid Journal   (Followers: 10)
International Journal of Nanoscience     Hybrid Journal   (Followers: 1)
International Journal of Numerical Modelling: Electronic Networks, Devices and Fields     Hybrid Journal   (Followers: 4)
International Journal of Power Electronics     Hybrid Journal   (Followers: 25)
International Journal of Review in Electronics & Communication Engineering     Open Access   (Followers: 4)
International Journal of Sensors, Wireless Communications and Control     Hybrid Journal   (Followers: 10)
International Journal of Systems, Control and Communications     Hybrid Journal   (Followers: 4)
International Journal of Wireless and Microwave Technologies     Open Access   (Followers: 6)
International Transaction of Electrical and Computer Engineers System     Open Access   (Followers: 2)
JAREE (Journal on Advanced Research in Electrical Engineering)     Open Access  
Journal of Biosensors & Bioelectronics     Open Access   (Followers: 4)
Journal of Advanced Dielectrics     Open Access   (Followers: 1)
Journal of Artificial Intelligence     Open Access   (Followers: 12)
Journal of Circuits, Systems, and Computers     Hybrid Journal   (Followers: 4)
Journal of Computational Intelligence and Electronic Systems     Full-text available via subscription   (Followers: 1)
Journal of Electrical and Electronics Engineering Research     Open Access   (Followers: 37)
Journal of Electrical Bioimpedance     Open Access  
Journal of Electrical Bioimpedance     Open Access   (Followers: 2)
Journal of Electrical Engineering & Electronic Technology     Hybrid Journal   (Followers: 7)
Journal of Electrical, Electronics and Informatics     Open Access  
Journal of Electromagnetic Analysis and Applications     Open Access   (Followers: 8)
Journal of Electromagnetic Waves and Applications     Hybrid Journal   (Followers: 9)
Journal of Electronic Design Technology     Full-text available via subscription   (Followers: 6)
Journal of Electronic Science and Technology     Open Access   (Followers: 1)
Journal of Electronics (China)     Hybrid Journal   (Followers: 5)
Journal of Energy Storage     Full-text available via subscription   (Followers: 4)
Journal of Engineered Fibers and Fabrics     Open Access   (Followers: 2)
Journal of Field Robotics     Hybrid Journal   (Followers: 3)
Journal of Guidance, Control, and Dynamics     Hybrid Journal   (Followers: 182)
Journal of Information and Telecommunication     Open Access   (Followers: 1)
Journal of Intelligent Procedures in Electrical Technology     Open Access   (Followers: 3)
Journal of Low Power Electronics     Full-text available via subscription   (Followers: 10)
Journal of Low Power Electronics and Applications     Open Access   (Followers: 10)
Journal of Microelectronics and Electronic Packaging     Hybrid Journal   (Followers: 1)
Journal of Microwave Power and Electromagnetic Energy     Hybrid Journal   (Followers: 3)
Journal of Microwaves, Optoelectronics and Electromagnetic Applications     Open Access   (Followers: 11)
Journal of Nuclear Cardiology     Hybrid Journal  
Journal of Optoelectronics Engineering     Open Access   (Followers: 4)
Journal of Physics B: Atomic, Molecular and Optical Physics     Hybrid Journal   (Followers: 31)
Journal of Power Electronics     Hybrid Journal   (Followers: 1)
Journal of Power Electronics & Power Systems     Full-text available via subscription   (Followers: 11)
Journal of Semiconductors     Full-text available via subscription   (Followers: 5)
Journal of Sensors     Open Access   (Followers: 26)
Journal of Signal and Information Processing     Open Access   (Followers: 9)
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer     Open Access  
Jurnal Rekayasa Elektrika     Open Access  
Jurnal Teknik Elektro     Open Access  
Jurnal Teknologi Elektro     Open Access  
Kinetik : Game Technology, Information System, Computer Network, Computing, Electronics, and Control     Open Access  
Majalah Ilmiah Teknologi Elektro : Journal of Electrical Technology     Open Access   (Followers: 2)
Metrology and Measurement Systems     Open Access   (Followers: 6)
Microelectronics and Solid State Electronics     Open Access   (Followers: 28)
Nanotechnology, Science and Applications     Open Access   (Followers: 6)
Nature Electronics     Hybrid Journal   (Followers: 1)
Networks: an International Journal     Hybrid Journal   (Followers: 5)
Open Electrical & Electronic Engineering Journal     Open Access  
Open Journal of Antennas and Propagation     Open Access   (Followers: 9)
Paladyn. Journal of Behavioral Robotics     Open Access   (Followers: 1)
Power Electronics and Drives     Open Access   (Followers: 2)
Problemy Peredachi Informatsii     Full-text available via subscription  
Progress in Quantum Electronics     Full-text available via subscription   (Followers: 7)
Radiophysics and Quantum Electronics     Hybrid Journal   (Followers: 2)
Recent Advances in Communications and Networking Technology     Hybrid Journal   (Followers: 4)
Recent Advances in Electrical & Electronic Engineering     Hybrid Journal   (Followers: 11)
Research & Reviews : Journal of Embedded System & Applications     Full-text available via subscription   (Followers: 6)
Revue Méditerranéenne des Télécommunications     Open Access  
Security and Communication Networks     Hybrid Journal   (Followers: 2)
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of     Hybrid Journal   (Followers: 56)
Semiconductors and Semimetals     Full-text available via subscription   (Followers: 1)
Sensing and Imaging : An International Journal     Hybrid Journal   (Followers: 2)
Solid State Electronics Letters     Open Access  
Solid-State Electronics     Hybrid Journal   (Followers: 9)
Superconductor Science and Technology     Hybrid Journal   (Followers: 3)
Synthesis Lectures on Power Electronics     Full-text available via subscription   (Followers: 3)
Technical Report Electronics and Computer Engineering     Open Access  
TELE     Open Access  
Telematique     Open Access  
TELKOMNIKA (Telecommunication, Computing, Electronics and Control)     Open Access   (Followers: 9)
Transactions on Electrical and Electronic Materials     Hybrid Journal   (Followers: 1)
Universal Journal of Electrical and Electronic Engineering     Open Access   (Followers: 7)
Ural Radio Engineering Journal     Open Access   (Followers: 1)
Visión Electrónica : algo más que un estado sólido     Open Access   (Followers: 1)
Wireless and Mobile Technologies     Open Access   (Followers: 6)

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Similar Journals
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TELKOMNIKA (Telecommunication, Computing, Electronics and Control)
Journal Prestige (SJR): 0.265
Citation Impact (citeScore): 1
Number of Followers: 9  

  This is an Open Access Journal Open Access journal
ISSN (Print) 1693-6930 - ISSN (Online) 2302-9293
Published by Universitas Ahmad Dahlan Homepage  [18 journals]
  • SWANSTAT : A User-Friendly Web Application for Data Analysis using
           shinydashboard Package in R

    • Authors: Rizal Bakri; Bagus Sartono, Hazan Azhari Zainuddin, Laode Ahmad Sabil
      Abstract: SWANSTAT is a user-friendly web application and free license that developed from the R programming language using shinydashboard Package. The aims of this research is to create SWANSTAT was to streamline the routine workflow of data analysis so that users who are unfamiliar with R can perform the analysis interactively in a web browser with a cloud compute using a shiny server. The software development method used in this study is the SDLC with waterfall model. The result of this research is the SWANSTAT software was developed using R by combining various package and can be accessed online through various types of browsers on http://apps.swanstatistics.com/swanstat. In addition, SWANSTAT consist of various features including the best visualization, the basic of statistical methods, help documents and tutorials. This research will continuously develop this application by enriching the latest statistical method, as well as improving the quality of features for data science needs.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Strategy to determine the foot plantar center of pressure of a person
           through deep learning neural networks

    • Authors: Holman Montiel Ariza; Henry Hernández Martínez, Luz Andrea Gaviria Roa
      Abstract: Some case studies treated by physiotherapists or orthopedists to measure the alignment of the lower extremities during a gait cycle are based on empirical methods of visual observation. This methodology does not guarantee total success, since it depends on the experience of the specialist, what can cause irreversible damage to patients, such as: hip displacement, wear and overload of the joints of a single lower limb. Although, this problem has been addressed in the investigation by means of devices implementation with sensors or methods of processing sequences of images and videos, this topic is still under investigation because the current methods depend on many external elements and data given by an expert in the area. Therefore, this paper proposes a partial solution to this problem by systematizing the experience of a specialist through a computational learning method.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Balancing a Segway Robot Using LQR Controller Based on Genetic and
           Bacteria Foraging Optimization Algorithms

    • Authors: Ibrahim Mohammed; Abdulla Ibrahim Abdulla
      Abstract: A two-wheeled single seat Segway robot is a special kind of wheeled mobile robot, using it as a human transporter system needs applying a robust control system to overcome its inherent unstable problem. The mathematical model of the system dynamics is derived and then state space formulation for the system is presented to enable design state feedback controller  scheme. In this research, an optimal control system based on linear quadratic regulator (LQR) technique is proposed to stabilize the mobile robot. The LQR controller is designed to control the position and yaw rotation of the two-wheeled vehicle. The proposed balancing robot system is validated by simulating the LQR using Matlab software. Two tuning methods, Genetic Algorithm (GA) and Bacteria Foraging Optimization Algorithm (BFOA) are used to obtain optimal values for controller parameters. A comparison between the performance of both controllers GA-LQR and BFO-LQR is chieved based on the standard control criteria which includes rise time, maximum overshoot, settling time and control input of the system. Simulation results suggest that the BFOA-LQR controller can be adopted to balance the two-wheeled Segway robot with minimal overshoot and oscillation frequency. 
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Medium term load demand forecast of Kano zone using neural network
           algorithms

    • Authors: Huzaimu Lawal Imam
      Abstract: Electricity load forecasting refers to projection of future load requirements of an area or region or country through appropriate use of historical load data. One of several challenges faced by the Nigerian power distribution sectors is the overloaded power distribution network which leads to poor voltage distribution and frequent power outages. Accurate load demand forecasting is a key in addressing this challenge. This paper presents a comparison of Generalized Regression Neural Network (GRNN), Feed-Forward Neural Network (FFNN) and Radial Basis Function Neural Network for medium term load demand estimation. Experimental data from Kano Electricity Distribution Company (KEDCO) were used in validating the models. The simulation results indicated that the neural network models yielded promising results having achieved a mean absolute percentage error (MAPE) of less than 10% in all the considered scenarios. The generalization capability of FFNN is slightly better than that of RBFNN and GRNN model. The models could serve as a valuable and promising tools for the forecasting of the load demand.   
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Semi-Supervised AutoEncoder for Facial attributes Recognition

    • Authors: Soumaya Zaghbani; Noureddine Boujnah, Med Salim Bouhlel
      Abstract: The particularity of our faces encourages many researchers to exploit their features in different domains such as user identification, behaviour analysis, computer technology, security, and psychology. In this paper, we present a method for facial attributes analysis. The work addressed to analyse facial images and extract features in the purpose to recognize demographic attributes: age, gender, and ethnicity (AGE). In this work, we exploited the robustness of deep learning (DL) using an updating version of autoencoders called the Deep Sparse AutoEncoder (DSAE). In this work we used a new architecture of DSAE by adding the supervision to the classic model and we control the overfitting problem by regularizing the model. The pass from DSAE to the semi-supervised autoencoder (DSSAE) facilitates the supervision process and achieves an excellent performance to extract features. In this work we focused to estimate AGE jointly. The experiment results show that DSSAE is created to recognize facial features with high precision. The whole system achieves good performance and important rates in AGE using the MORPH II database.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Intercept Probability Analysis in DF Time Switching Full-Duplex Relaying
           Network with Impact of Co-Channel Interference at the Eavesdropper

    • Authors: Phu Tran Tin; Duy-Hung Ha, Minh Tran
      Abstract: Recently, wireless‐powered communication has gained considerable interest because of its capability to deal with the energy scarcity in energy‐constrained wireless networks. In this research, we propose and investigate Intercept Probability Analysis in DF Time Switching Relaying Full-Duplex with Impact of Co-Channel Interference at the Eavesdropper. In the beginning stage, we present the DF Time Switching Relaying Full-Duplex with Impact of Co-Channel Interference at the Eavesdropper. Furthermore, the closed-form expression of the Intercept Probability (IP) is analyzed and derived in connection with the primary system parameters. Finally, the Monte Carlo simulation is performed for verifying the correctness of the analytical section.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Comparative Performance of Optical Amplifiers: Raman and EDFA

    • Authors: Khalis A Mohammed; Basma MK Younis
      Abstract: The in-line optical signal amplification is often used in optical communication systems to accomplish longer transmission distances and larger capacity. In this proposed paper, the operation of two types of optical amplifiers for 16×10 Gbps Wavelength Division Multiplexing System had been examined by changing transmission distance from 10 to 200 km with a dispersion equals to 16.75 ps/nm/km. The analysis and design of such systems ordinarily includes many signal channels, nonlinear devices, several topologies with many noise sources, is extremely complex and effort-exhaustive. Therefore, theoretical studies with simulation CAD software of systems are become necessity to predict and optimize system performance. To achieve these objectives, the OptiSystem software was used to design the proposed fiber optic communications system and to simulate results. Performance for the present system was evaluated for parameters like Bit Error Rate (BER), Quality factor (QF), total gain with eye opening factor. It was saw that EDFA provides better results, in the maximal transmission distance 64 % better than Raman amplifier, 57.5%  for amplification gain and 26.7% for maximum quality factor.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Measurements to design a coverage area by using high altitude platform
           systems (Iraq – Baghdad as a model)

    • Authors: Riyam Alaa Johni
      Abstract: This paper proposes the principles of how to design UMTS coverage area for Baghdad city the capital of Iraq country that occupy space about 204.2 km², by using new and promising technology for providing wireless narrowband and broadband telecommunication services as well as broadcasting services with either airships or airplanes which is named HAPs, Viewed from its altitude, HAPs floats within the stratosphere layer in the airspace, positioned between satellite and terrestrial platforms.this study also consider the affect of interference with the current broadband technology It will start with brief introduction for HAPS with its advantages, comparison between HAPS system and other services and specify requirements for design. Such as, enumerate the center of coverage area to find the coordinates. Then, supposed the coverage area for the city, and find the radius, elevation angle, and the location of earth stations which will connect HAPS with other networks and all other services location depending on latitude and longitude, finally the reduction of interference technique.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Enhancement of Student Performance Prediction Using Modified K-Nearest
           Neighbor

    • Authors: saja taha
      Abstract: The traditional K-Nearest Neighbor (KNN) algorithm uses an exhaustive search for a complete training set to predict a single test sample. This procedure can slow down the system to consume more time for huge datasets. The selection of classes for a new sample depends on a simple majority voting system that does not reflect the various significance of different samples (i.e. ignoring the similarities among samples). It also leads to a misclassification problem due to the occurrence of a double majority class. In reference to the above-mentioned issues, this work adopts a combination of moment descriptor and KNN to optimize the sample selection. This is done based on the fact that classifying the training samples before the searching actually takes place can speed up and improve the predictive performance of the nearest neighbor. The proposed method can be called as Fast KNN (FKNN). The experimental results show that the proposed FKNN method decreases original KNN consuming time within a range of (75.4%) to (90.25%), and improve the classification accuracy percentage in the range from (20%) to (36.3%) utilizing three types of student datasets to predict whether the student can pass or fail the exam automatically. 
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • The study of reducing the cost of investment in wind energy based on the
           Cat Swarm optimization with high reliability

    • Authors: Hamzi / Amar; Meziane Rachid
      Abstract: Today’s wind and solar are the most important source of renewable energy for power supply in remote locations involves serious consideration of the reliability of these unconventional energy sources.
      This work uses a Cat Swarm meta-heuristic optimization method to solve the problem of wind power system design optimization. We consider the case where redundant electrical components are chosen to
      achieve a desirable level of reliability. The electrical power components of the system are characterized by their cost, capacity and reliability. The reliability is considered in this work as the ability to satisfy the
      consumer demand which is represented as a piecewise cumulative load curve. This definition of the reliability index is widely used for power systems. The proposed meta-heuristic seeks for the optimal
      design of series-parallel power systems in which a multiple choice of wind generators, transformers and lines are allowed from a list of product available in the market. Our approach has the advantage to allow electrical power components with different parameters to be allocated in electrical power systems. To allow fast reliability estimation, a universal moment generating function (UMGF) method is applied. A computer program has been developed to implement the UMGF and the CS algorithm. An illustrative example is presented.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Spatial Association Discovery Process using Frequent Subgraph Mining

    • Authors: Giovanni Daián Rottoli; Hernán Merlino
      Abstract: Spatial associations are one of the most relevant kinds of patterns used by business intelligence regarding spatial data. Due to the characteristics of this particular type of information, different approaches have been proposed for spatial association mining. This wide variety of methods has entailed the need for a process to integrate the activities for association discovery, one that is easy to implement and flexible enough to be adapted to any particular situation, particularly for small and medium-size projects to guide the useful pattern discovery process. Thus, this work proposes an adaptable knowledge discovery process that uses graph theory to model different spatial relationships from multiple scenarios, and frequent subgraph mining to discover spatial associations. A proof of concept is presented using real data.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Sr[Mg3SiN4]Eu2+ Phosphor: Solution for Enhancing the Optical Properties of
           the 5600K Remote-Packaging WLEDs

    • Authors: Phu Tran Tin; Duy-Hung Ha, Minh Tran
      Abstract: In this paper, we consider the red phosphor Sr[Mg3SiN4]Eu2+ as the novel recommendation for improving the optical properties of the 5600K remote-packaging WLEDs (RP-WLEDs). For this purpose, we investigate the influence of the Sr[Mg3SiN4]Eu2+ particle concentration on the optical properties in terms of CCT, CQS, CRI, and LO using the Light Tools and Mat Lab software. From the research results, it can be observed that the optical properties of the 6000K CPW-LEDs are significantly influenced by the concentration of the Sr[Mg3SiN4]Eu2+particle. This research can provide a novel recommendation for LEDs industry at this time.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Influence of SME characteristics on the implementation of ERP

    • Authors: Omar KHADROUF; Marieme CHOUKI, Mohamed TALEA, Assia BAKALI
      Abstract: The ERP market has recently experienced a significant evolution in recent years, both in large companies and in small and medium-sized enterprises (SMEs). Compared to large companies, SMEs are distinguished by specific characteristics that can influence the implementation of the ERP system in these organizations. The purpose of this study is to analyse how these characteristics can determine the success or the failure of ERP implementation in SMEs. First, a set of characteristics, specific to SMEs has been identified from the relevant literature. Then, the influence of each characteristic on the different ERP lifecycle activities were studied. A multiple case study of four SMEs from different sectors was conducted. The data collection was carried out through 28 individual interviews with several stakeholders (users, external consultants, internal IT specialists and managers) in the four cases. The analysis of the interview data showed first that financial resources, Decision making and, the type of ownership of the company were identified as the most influential contextual factors. Then the two phases of the ERP life cycle "implementation" and "use and maintenance" were identified as being the most affected by the context of SMEs. The study results have significant implications for experts, managers and information.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Outage Probability Analysis in DF Power-Splitting Full-Duplex Relaying
           Network with Impact of Co-Channel Interference at the Destination

    • Authors: Phu Tran Tin; Duy-Hung Ha, Minh Tran
      Abstract: Nowadays, many research papers focus on the WPCN problem and how to improve its efficiency. In this research, we propose and investigate Outage Probability Analysis in DF Power-Splitting Full-Duplex Relaying Network with Impact of Co-Channel Interference at the Destination. In the beginning stage, we present t DF Power-Splitting Full-Duplex Relaying Network with Impact of Co-Channel Interference at the Destination. Furthermore, the closed-form expression of the outage probability (OT) is analyzed and derived in connection with the primary system parameters. Finally, the Monte Carlo simulation is performed for verifying the correctness of the analytical section.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Rice seed image classification based on HOG descriptor with missing values
           imputation

    • Authors: Vinh Truong Hoang
      Abstract: Rice is a primary source of food consumed by
      almost half of world population. Rice quality is depend on the
      purity of the rice seed. In order to ensure the purity of rice
      varieties, the recognition process is an essential stage. In this
      paper, we firstly propose to use Histogram of Oriented Gradient
      (HOG) descriptor to characterize rice seed images. Since the
      size of image is totally random and the features extracted by
      HOG can not be used directly by classifier due to the different
      dimensions. So, we apply several imputation method to fill the
      missing data for HOG descriptor. The experiment is applied
      on the VNRICE benchmark dataset to evaluate the proposed
      approach.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Single Document Keywords Extraction in Bahasa Indonesia using Phrase
           Chunking

    • Authors: I Nyoman Prayana Trisna; Arif Nurwidyantoro
      Abstract: Keywords help readers understand the idea of a document quickly. A considerable time and efforts are needed to come up with a good set of keywords. This research focused on automatic keywords generation
      of a document using phrase chunking. Firstly, we collected part of speech patterns from a collection of documents. Secondly, we used the patterns to extract candidate keywords from the abstract and the content of a document. Finally, keywords are selected from the candidates based on the number of words in the keyword phrases and some scenarios involving candidate reduction and sorting. We evaluated each scenario using precision, recall, and F-measure. The experiment results show: i) shorter-phrase keywords with string reduction extracted from the abstract and sorted by frequency provides the highest score; ii) in every proposed scenario, extracting keywords using the abstract always presents a better result; iii) using shorter-phrase patterns in keywords extraction gives better score in comparison to using all phrase patterns; iv) sorting scenarios based on the multiplication of candidate frequencies and the weight of the phrase patterns offer better results.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Software Engineering Model Based Smart Indoor Localization System Using
           Deep-Learning

    • Authors: Muayad Sadik Croock; Zainab Resan
      Abstract: During the last few years, the allocation of objects or persons inside a specific building is highly required. It is well known that the Global Positioning System (GPS) cannot be adopted in indoor environment due to the lack of signals. Therefore, it is important to discover a new way that works inside. The proposed system uses the deep learning techniques to classify places based on capturing images. The proposed system contains two parts: software part and hardware part. The software part is built based on software engineering model to increase the reliability, flexibility, and scalability. In addition, this part, the dataset is collected using the Raspberry Pi III camera as training and validating data set. This dataset is used as an input to the proposed deep learning model. In the hardware part, Raspberry Pi III is used for loading the proposed model and producing prediction results and a camera that is used to collect the images dataset. Two wheels’ car is adopted as an object for introducing indoor localization project. The obtained training accuracy is 99.6% for training dataset and 100% for validating dataset.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Principal Component Analysis-Based Feature Dimensionality Reduction Scheme
           for Content-Based Image Retrieval System

    • Authors: Oluwole A Adegbola; Ismail A Adeyemo, Folasade A Semire, Segun I. Popoola, Aderemi A Atayero
      Abstract:  In Content-Based Image Retrieval (CBIR) system, one approach of image representation is to employ combination of low-level visual features cascaded together into a flat vector. While this presents more descriptive information, it however poses serious challenges in terms of high dimensionality and high computational cost of feature extraction algorithms to deployment of CBIR on platforms (devices) with limited computational and storage resources. Hence, in this work a feature dimensionality reduction technique based on Principal Component Analysis (PCA) is implemented. Each image in a database is indexed using 174 dimensional feature vector comprising of 54-dimensional Colour Moments (CM54), 32-bin HSV-histogram (HIST32), 48-dimensional Gabor Wavelet (GW48) and 40-dimensional Wavelet Moments (MW40). The PCA scheme was incorporated into a CBIR system that utilized the entire feature vector space. The k-largest Eigenvalues that yielded a not more than 5% degradation in mean precision were retained for dimensionality reduction. Three image databases (DB10, DB20 and DB100) were used for testing. The result obtained showed that with 80% reduction in feature dimensions, tolerable loss of 3.45, 4.39 and 7.40% in mean precision value were achieved on DB10, DB20 and DB100.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Vulnerabilities Detection Using Attack Recognition Technique in
           Multi-Factor Authentication

    • Authors: Noor Afiza Mohd Ariffin; Fiza Abdul Rahim, Aziah Asmawi, Zul-Azri Ibrahim
      Abstract:  Authentication is one of the essentials components of information security. It has become one of the most basic security requirements for network communication. Today, there is a necessity for a strong level of authentication to guarantee a significant level of security is being conveyed to the application. As such, it expedites challenging issues on security and efficiency. Security issues such as privacy and data integrity emerge because of the absence of control and authority. In addition, the bigger issue for multi-factor authentication is on the high execution time that leads to overall performance degradation. There is a lot of research, which discusses multi-factor authentication schemes but most of the research does not detect weaknesses based on user behavior. Recent research only focuses on improving the security side of authentication while ignoring the system efficiency side. To address the above issues, this research proposes a new multi-factor authentication scheme, which can withstand vulnerabilities, based on user behavior and maintaining optimum efficiency. Experiments have been conducted to evaluate this scheme. The results of the experiment show that the processing time of the proposed scheme is lower than the processing time of other schemes. This is particularly important after additional security features have been added to the scheme.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • A Novel Approach for Audio File Encryption Using Hand Geometry

    • Authors: zeena N. Al-Khateeb; Saja Al-kado
      Abstract: In this paper, a new algorithm proposed for encryption and decryption audio files using one of the biometrics to provide a high level of confidentiality and reliability because the technique has many strengths and advantages. The proposed algorithm used 50 properties of hand geometry measurements as keys to encode and decode the audio file, the proposed algorithm used a wavelet transform also to increase the efficiency.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Assessment of quality indicators of the automatic control system influence
           of accident interference

    • Authors: Juliy Boiko; Igor Parkhomey, Nataliia Tsopa, Iryna Zeniv, Oleksander Eromenko
      Abstract: This work concentrates the analysis of the system of automatic control of the directive diagram of the moving Active Electronically Scanned Array (AESA) with a limited number of transceiver modules. The analysis revealed a number of shortcomings that lead to a significant increase in standard deviations, quadratic integral estimates, and an increase in transient time. The identified disadvantages lead to a decrease in the efficiency of the antenna system, an increase in the error rate at the reception, the inability of the system to react to disturbances applied to any point of the system in the event of a mismatch of a given signal/noise level. In accordance with the analysis, the mathematical model of the automatic control system of the directional diagram of the moving active electronically scanned array was considered, considering this a new method of estimating the quality indicators of the automatic control diagram of the directional diagram of the active electronically scanned array in a random setting and disturbing action was developed. The difference between the proposed method and the existing method is in the construction of an automatic control system with differential coupling equivalent to the combination due to the introduction of derivatives of the random setting action of the open compensation connection.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • A progressive domain expansion method for solving optimal control problem

    • Authors: Olalekan Ogunbiyi
      Abstract: Electricity generation at the hydropower stations in Nigeria has been below the expected value. While the hydro stations have a capacity to generate up to 2,380 MW, the daily average energy generated in 2017 was estimated around 846 MW.  A factor responsible for this is the lack of a proper control system to manage the transfer of resources between the cascaded Kainji-Jebba Hydropower stations operating in tandem. This paper addressed the optimal regulation of the operating head of Jebba hydropower reservoir in the presence of system constraints, flow requirement and environmental factors that are weather-related. The resulting two-point boundary value problem was solved using the progressive expansion of domain technique as against the shooting or multiple shooting techniques. The results provide the optimal inflow required to keep the operating head of the Jebba reservoir at a nominal level, hence ensuring that the maximum number of turbo-alternator units are operated.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Plant Acoustic Frequency Technology (PAFT) Control System to Increase
           Vegetative Growth in Red Lettuce

    • Authors: Yusuf Hendrawan; Adamsyah Harika Putra, Sumardi Hadi Sumarlan, Gunomo Djoyowasito
      Abstract: The application of plant acoustic frequency technology (PAFT) can spur plant growth, increase productivity, immune system, quality, and extend the shelf life of agricultural products after harvest. Application of sound waves in plants can stimulate the opening of the stomata to optimally absorb nutrients and water. This study aims to determine the effect of frequency and time of PAFT exposure by utilizing Javanese gamelan traditional music on the vegetative growth of red lettuce (Lactuca sativa var.). Javanese gamelan music used is titled Puspawarna with variations in frequency of 3-5, 7-9, and 11-13 kHz. The variation of exposure time of sound waves is 1, 2, and 3 hours. Sound intensity is uniformly applied to all treatments in the range of 68 ~ 76 db. PAFT exposure is given routinely in the morning and evening. Observation parameters included the number of leaves, plant height, leaf area, plant wet weight, plant dry weight, leaf red mean, and leaf stomata opening width. The results of this study indicated that the best treatment was at 3-5 kHz with an exposure time of 2 hours. The best combination of frequency and time of PAFT exposure produced 10 leaves, plant height of 9.4 cm, wet weight of 4 g, dry weight of 0.22 g, leaf area of 27.19 cm2, leaf red mean of 63, and stomata opening width of 145.44~206.59 µm.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Na3Ce(PO4)2:Tb3+ and Na(Mg2–xMnX)LiSi4O10F2:Mn phosphors: a suitable
           selection for enhancing color quality and luminous flux of remote white
           light-emitting diodes

    • Authors: Nguyễn Đoàn Quốc Anh
      Abstract: This study proposed a triple-layer remote phosphor (TRP) structure to improve the color and luminous flux of white LEDs.(WLEDs). TRP structure consists of 3 different phosphor layers: yellow YAG:Ce3+ layer below, red Na(Mg2–xMnX)LiSi4O10F2:Mn phosphor top and green layer Na3Ce(PO4)2:Tb3+ phosphor in the middle. Red Na(Mg2–xMnX)LiSi4O10F2:Mn phosphor is used to control the red light component, leading to increased color rendering index (CRI). The green layer Na3Ce(PO4)2:Tb3+  phosphor is utilized to control the green light component, resulting in the luminous flux (LF) of WLEDs. Furthermore, when the concentration of these two phosphors increased, yellow YAG:Ce3+ concentration decreased to keep average correlated color temperature of 6000 K. Besides CRI and LE, color quality scale (CQS) is also analyzed through concentration control of green phosphor and red phosphor. The research results show that the higher the concentration of Na(Mg2–xMnX)LiSi4O10F2:Mn, the better for CRI. In contrast, CRI decreased significantly when increasing concentration of Na3Ce(PO4)2:Tb3+. Meanwhile, CQS can increase significantly in the concentration range of 10% -14% Na(Mg2–xMnX)LiSi4O10F2:Mn, regardless of Na3Ce(PO4)2:Tb3+ concentration. In particular, along with the improvement of CRI and CQS, LF can also increase by more than 40% by reducing the following scattered light and adding green light. Research results are a valuable reference for producers to enhance the color quality and the emissivity of WLEDs.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Optimal cost allocation algorithm of transmission losses to bilateral
           contracts

    • Authors: Conny K Wachjoe
      Abstract: One of the trends in electricity reform is the involvement of bilateral contracts that will participate in electricity business development. Bilateral contracts are required to pay fair transmission losses compared with the integrated power system. This paper proposes a new algorithm in determining the optimal allocation of transmission loss costs for bilateral contract based on economic dispatch optimization using the direct method. An optimal power flow supplied by power generation is caculated through fast decoupled methods.  While a fair allocation of transmission losses is based on the decomposition method. The simulation results of the optimal allocation of power flow provides comparable results with previous studies This method produces a fair allocation of optimal transmission loss costs for both integrated and bilateral parties. The proportion allocation of the transmission lines loss incurred by the integrated system and bilateral contracts reflects a fairness allocation of R. 852.589 and R. 805.193 respectively.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Modified Moth Swarm Algorithm for Optimal Economic Load Dispatch Problem

    • Authors: Thang Nguyen
      Abstract: In this study, optimal economic load dispatch problem (OELD) is resolved by a novel improved algorithm. The proposed modified moth swarm algorithm (MMSA), is developed by proposing two modifications on the classical moth swarm algorithm (MSA). The first modification applies an effective formula to replace an ineffective formula of the mutation technique. The second modification is to cancel the crossover technique. For proving the efficient improvements of the proposed method, different systems with discontinuous objective functions as well as complicated constraints are used. Experiment results on the investigated cases show that the proposed method can get less cost and achieve stable search ability than MSA. As compared to other previous methods, MMSA can archive equal or better results. From this view, it can give a conclusion that MMSA method can be valued as a useful method for OELD problem.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Mobile Cloud Game in High Performance Computing environment

    • Authors: Dedy Prasetya Kristiadi; Ferry Sudarto, Evan Fabian Rahardja, Naufal Rayfi Hafizh, Christopher Samuel, Harco Leslie Hendric Spits Warnars
      Abstract: Mobile cloud game is a solution to play high-end games in indigent thin clients with a diversity of end-user devices, and as real-time gaming, mobile cloud game hosting game engines in the cloud. Moreover, frequent change in network quality is another issue that should be limited in order to run the real fast cloud game. Thus, reliable software components between cloud and user devices as clients, including using Artificial Intelligence (AI) algorithms such as machine learning, deep learning and so on will enhance the game performance, particularly in multiplayer and real-time conditions. In this paper, w list the mobile cloud game architecture in High-Performance Computing (HPC) environment, where a load of the game will be distributed between servers as cloud and clients. The server node as clouds or clients will consist of more than one server with many processors (cores) or sometimes can be recognized as distributed computing. Using HPC for cloud games will boost the game performance where the execution times will be dispersed not only in some node in servers and clients but in many cores of each server or client. The involvement of the Internet of Thing (IoT) and ubiquitous access from heterogeneous devices will give benefit to enjoyment in the game itself.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Ant-Colony and Nature-Inspired Heuristic Models For NOMA Systems: A Review

    • Authors: Poh Liyn Law; Hadhrami Ab Ghani, Farah Najwa Roslim, Nur Asyiqin Amir Hamzah, Saeed Mohammed Abdulghani Mohammed, Nor Hidayati Abdul Aziz, Azlan Abd. Aziz, Kim Geok Tan
      Abstract: Non-orthogonal multiple access (NOMA) system is a radio access technique which attempts to improve both bandwidth efficiency and users’ capacity. Resources cause some of the major challenges which need to be overcome in order to improve the performance of NOMA. The increasing computational complexity in scheduling the large number of users for future cellular networks lead to the need for scheduling models with relatively lower computational complexity such as heuristic models. This paper conducts a concise study on ant-colony with potential nature-inspired heuristic models for NOMA implementation in future high speed networks.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Simulation and Optimization of a Tuneable Rectangular Microstrip Patch
           Antenna Based on Hybrid Metal-Graphene and FSS Superstrate for
           Fifth-Generation Applications

    • Authors: Nidal Eyad Qasem; Hamzah M. Marhoon
      Abstract: In this paper, a tuneable rectangular Microstrip Patch Antenna (MPA) is simulated and optimized to operate in four frequency bands of the next generation of wireless communication systems. The proposed design incorporates a copper radiating patch with four implanted graphene strips for tuning purposes. The reconfigurable surface impedance of graphene can easily be altered by applying a DC voltage bias directly to the graphene strips, allowing the operating frequency of the antenna to be tuned as desired. The capability of the applied voltage to tune the operating frequency band of the proposed antenna is studied via Computer Simulation Technology (CST) Microwave Studio (MWS). Frequency Selective Surfaces (FSSs) are introduced in order to improve the radiation parameters of the antenna. The operating frequency band of the tuneable rectangular MPA increases directly as the applied DC voltage bias is increased. Based on the simulation results, a tuneable rectangular MPA placed between two FSSs is proposed for fifth-generation applications. 
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • A compact multi-band notched characteristics UWB microstrip patch antenna
           with a single sheet of graphene

    • Authors: Nidal Eyad Qasem; Noor Raheem
      Abstract: A rectangular, tuneable Ultra-wideband (UWB) Microstrip Patch (MP) antenna based on a Single Sheet of Graphene (SSG) is designed in this study. The antenna band can be tuned by applying a Direct Current (DC) voltage bias perpendicular to the SSG at various values via adjusting the input impedance. The antenna has been analyzed by Computer Simulation Technology (CST) Microwave Studio (MWS) software using an FR4 substrate of thickness 1.6 mm with a dielectric permittivity =4.4 and loss tangent tan =0.02 fed by a 50 Ω microstrip line frequency. The design is compact since the antenna consists mostly of copper and the SSG. Graphene’s low weight, high flexibility, and strength make it more attractive than other semiconductor materials. Then, the study investigates the effects of applying the electrical characteristics of graphene to the antenna’s length, which varies with the ON and OFF states. This UWB MP antenna is also designed with notch characteristics so that it can reject undesired interference signals. Subsequently, this compact UWB MP antenna with tuneable resonance frequency is suitable for most wireless communication applications. The simulation results work in the 3.1 to 10 GHz range, as required for UWB technology. 
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Reduce the Probability of Blocking for Handoff and Calls in Cellular
           Systems Based on Fixed Channel & Dynamic Channel Assignment

    • Authors: Shahir Fleyeh Nawaf
      Abstract: In cellular systems the high probability of blocking represents a big problem for users, The proposed solution by reducing the blocking probability and investigation cellular systems by method channels assignment. The aim from apaper is studying the effect the channel assignment on the value of blocking probability. The results showed that the fixe channeld assignment gives a large probability of blocking for high loads, While  (FCA) reduce probability of blocking for handoff and calls according to cluster size . The cellular system representation in the case of (DCA), in (3- cell reuse) and (7- cell reuse), the results showed the first best way to reduce blocking probability and lead to reduce to approximately zero when loads that are less than 200%. Increasing  the cluster size causes to reduce blocking  probability . the results showed that the probability blocking for handoff  less than from probability of  blocking for new calls.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Analysis Sentiment about Islamophobia when Christchurch Attack on Social
           Media

    • Authors: Achmad Bayhaqy; Windu Gata
      Abstract: Islamophobia is formed by "Islam" with "-phobia" which means "fear of Islam". This shows the view of Islam as "other" and can threaten Western culture. The recent horrific terror attack that took place at the Christchurch mosque in New Zealand, is the result of allowing an attitude of hatred towards Islam in the West. Twitter is social media that allows users send real-time messages and can be used for sentiment analysis because it has a large amount of data. The lexical based method using VADER is used for automatic labeling of crawling data from Twitter. And then compare Supervised Machine Learning Naïve Bayes and SVM algorithm. Addition of SMOTE for Imbalanced Data. As result, SVM with SMOTE is proven the highest performance value and short processing time.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Semantics-Based Clustering Approach For Similar Research Area Detection

    • Authors: Marion Olubunmi Adebiyi; Emmanuel B. Adigun, Roseline Oluwaseun Ogundokun, Abidemi Emmanuel Adeniyi, Peace Ayegba, Olufunke Oladipupo
      Abstract: The manual process of searching out individuals in an already existing research field is cumbersome and time-consuming. Prominent and rookie researchers alike are predisposed to seek existing research publications in a research field of interest before coming up with a thesis. From extant literature, automated similar research area detection systems have been developed to solve this problem. However, most of them use keyword-matching techniques, which do not sufficiently capture the implicit semantics of keywords thereby leaving out some research articles. In this study, we propose the use of Ontology-based pre-processing, Latent Semantic Indexing and K-Means Clustering to develop a prototype similar research area detection system, that can be used to determine similar research domain publications. Our proposed system solves the challenge of high dimensionality and data sparsity faced by the traditional document clustering technique. Our system is evaluated with randomly selected publications from faculties in Nigerian universities and results show that the integration of ontologies in preprocessing provides more accurate clustering results.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • QR code based authentication method for IoT applications

    • Authors: Abbas M. Al-Ghaili; Hairoladenan Kasim, Marini Othman, Wahidah Hashim
      Abstract: A Quick Response code-based Authentication Method (QRAM) has been proposed. QRAM is applicable for lots of Internet of Things (IoT) based applications. The QRAM aims to verify requests of such an access to IoT applications. Requests are made using a Quick Response Code (QRC). To authenticate contents of QRC, users are required to scan their QRCs in order to access IoT applications. The proposed QRAM would be able to authenticate contents of QRC. If contents are not originally issues, IoT applications answers would be surely wrong. Thus, the QRAM objective is to securely authenticate contents of QRC. Thus, three procedures are applied on QRCs to do so. These procedures ensure that contents of QRC have not been modified in an unauthorized manner. The QRAM contributes to IoT automatic access systems or smart applications in terms of authentication and safety of access. The
      QRAM is evaluated in terms of security factors (e.g., authentication). Computation time of authenticationprocedures for a wide range of IoT based applications has become a considerable issue. The proposed
      QRAM aims to reduce computation time consumed to authenticate each QRC. Some authentication techniques still face difficulties when an IoT application requires quick and fast response to users; therefore, the QRAM aims to enhance such an issue in order to meet real-time applications. Thus, the proposed QRAM is evaluated and compared to several competitive methods used to verify QRC in terms
      of computation time. Results confirmed that QRAM is faster than other competitive techniques. 
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Incident and Reflected Two Waves Correlation with Cancellous Bone
           Structure

    • Authors: Muhamad Amin Abd Wahab; Rubita Sudirman, Mohd Azhar Abdul Razak, Fauzan Khairi Che Harun, Nurul Ashikin Abdul Kadir
      Abstract: Estimation of bone quality using ultrasound based on pulse echo technique is easier because this technique only use a single transducer. However, the measurement of pulse echo technique is still less accurate compared to through transmission in terms of correlation with bone microstructure. Previous research shows that fast and slow waves can be reflected and backscattered and analysis these waves could improve pulse echo technique. Hence, the objective of this paper is to conduct a simulation using
      pulse echo technique to investigate the correlation between fast and slow waves with various microstructures of 2-dimentional cancellous bone models by comparing the result to through transmission technique. The recorded “incident” and “reflected” waves were processed with the bandlimited deconvolution method to estimate fast and slow waves. The parameters for single modes, fast and slow waves for incident and reflected wave are calculated, plotted against porosity for several thicknesses and
      compared in terms of their correlation coefficient. The attenuation of incident and reflected fast wave shows a good correlation with porosity for both orientations of bone models. Wave propagation for parallel orientation dominated by incident and reflected fast wave, meanwhile, perpendicular orientation dominated by incident slow wave. The thickness factor affected amplitude but less affected attenuation of fast and slow waves. Due to propagation loss, the reflected wave shows lower correlation to porosity compared to the incident wave.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Neural network based smart home system controller for energy efficiency

    • Authors: Puji Catur Siswipraptini; Rosida Nur Aziza, Iriansyah Sangadji, Indrianto Indrianto
      Abstract: Excessive use of household appliances causes waste of electrical energy. Smart home is a house that is equipped with various connected sensors, actuators, and mobile terminals. Supported by the advances in computing technology, the smart environment is applied to houses to provide convenience and security for their inhabitants. The Smart home system should be able to monitor the activity within the house and act accoding the current condition. It is closely related to IoT (Internet of Things) as devices within smart home need to be connected to the Internet. Other than that, smart home should be able to cope with other issues, such as energy efficiency, mobility, and health. The smart home controller prototype implemented with Raspberry pi, Arduino, ESP8266 module is presented. This integrates functionalities of several household appliances into one application, controlled by smart phones. The Adaptive Linear Neural Network (ADALINE) is applied in this model as an algorithm to predict output when the controller is in automatic mode. Through validation testing with the ADALINE algorithm, an accuracy value of 99.6 % was produced.
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Breakdown Movie Script uses the Parsing Algorithm

    • Authors: Agung Wahana; Diena Rauda Ramdania, Dhanis Al Ghifari, Ichsan Taufik, Faiz M Kaffah, Yana Aditia Gerhana
      Abstract: Breakdown script is a breakdown of the scenario into detailed parts of a scene for shooting. The number of script breakdown sheets for each scene and the long time for making the script breakdown become a problem in the script breakdown process. Young filmmakers sometimes skip the script breakdown stage. This stage is very important in organizing every need in every scene in one film. The purpose of this study is to facilitate the creation and reduction of time for making a breakdown script on a film using the parsing algorithm. The method used is the parsing algorithm. The movie script file in .fdx format is uploaded to the website. The output of this research is to assist the screenwriters in breaking the film script into organizing every need in every scene a film with elements such as cast, extra silent, extra atmosphere, stunts, special fx, sound fx & music, props, wardrobe, makeup and hair, and special equipment
      PubDate: Sat, 01 Aug 2020 00:00:00 +000
       
  • Developing a Small-Scaled Reverse Vending Machine to Sorting Waste of
           Beverage Containers

    • Authors: Erikson Ferry Sinaga; Richard Irawan
      Abstract: Reduce, Reuse, and Recycle is a campaign which aims to reduce the production of waste. Beverage industry used plastic bottle and cans to store the beverage. This research project was intended to develop Reverse Vending Machine (RVM) to sorting waste of beverage containers either plastic bottles or cans as a campaign to reduce the production of waste. This RVM machine uses barcode scanning as the sorting system to determine whether the plastic bottle or can could be recycled or not. In order to check the weight of the beverage container, a load cell sensor is used to check whether the beverage container is empty or not. The machine will receive the container from the conveyor station, check the weight, and finally transfer it to the sorting station. The container will be sorted as cans or plastic bottle by the aid of barcode scanning and compare it to database. Furthermore the plastic bottle will be sorted as clear or colored plastic bottle. Unrecyclable plastic or can container or any unempty container will be classified as rejected container and be returned to the user through the outlet passage. The performance testing was done with 12 different types of plastic bottle and can and 10 samples for each type, so there were total 120 items tested and the result showed that the success rate was 94% while the processing time was varying in between 8 to 13 seconds.
      PubDate: Wed, 18 Mar 2020 19:43:28 +000
       
 
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