Subjects -> ENGINEERING (Total: 2918 journals)
    - CHEMICAL ENGINEERING (259 journals)
    - CIVIL ENGINEERING (255 journals)
    - ELECTRICAL ENGINEERING (182 journals)
    - ENGINEERING (1464 journals)
    - ENGINEERING MECHANICS AND MATERIALS (476 journals)
    - HYDRAULIC ENGINEERING (60 journals)
    - INDUSTRIAL ENGINEERING (101 journals)
    - MECHANICAL ENGINEERING (121 journals)

ELECTRICAL ENGINEERING (182 journals)                     

Showing 1 - 182 of 182 Journals sorted alphabetically
3C TIC     Open Access   (Followers: 4)
Acta Electronica Malaysia     Open Access  
Acta Universitatis Sapientiae Electrical and Mechanical Engineering     Open Access  
Actuators     Open Access   (Followers: 4)
Advanced Electromagnetics     Open Access   (Followers: 20)
Advances in Electrical and Electronic Engineering     Open Access   (Followers: 10)
Advances in Electrical Engineering     Open Access   (Followers: 56)
Advances in Microelectronic Engineering     Open Access   (Followers: 13)
Advances in Signal Processing     Open Access   (Followers: 17)
American Journal of Electrical and Electronic Engineering     Open Access   (Followers: 29)
American Journal of Sensor Technology     Open Access   (Followers: 4)
APSIPA Transactions on Signal and Information Processing     Open Access   (Followers: 8)
Archives of Control Sciences     Open Access   (Followers: 3)
Archives of Electrical Engineering     Open Access   (Followers: 16)
Atom Indonesia     Open Access   (Followers: 2)
Australian Journal of Electrical and Electronics Engineering     Hybrid Journal  
Balkan Journal of Electrical and Computer Engineering     Open Access  
Bulletin of Electrical Engineering and Informatics     Open Access   (Followers: 10)
Carpathian Journal of Electronic and Computer Engineering     Open Access  
Case Studies in Mechanical Systems and Signal Processing     Open Access  
CES Transactions on Electrical Machines and Systems     Open Access   (Followers: 1)
Chinese Journal of Electrical Engineering     Open Access   (Followers: 2)
Circuits, Systems, and Signal Processing     Hybrid Journal   (Followers: 15)
Computers & Electrical Engineering     Hybrid Journal   (Followers: 9)
CPSS Transactions on Power Electronics and Applications     Open Access   (Followers: 2)
CSEE Journal of Power and Energy Systems     Open Access   (Followers: 4)
Current Trends in Signal Processing     Full-text available via subscription   (Followers: 6)
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)
Electric Power Components and Systems     Hybrid Journal   (Followers: 11)
Electric Power Systems Research     Partially Free   (Followers: 24)
Electrica     Open Access  
Electrical and Electronic Engineering     Open Access   (Followers: 65)
Electrical Engineering     Hybrid Journal   (Followers: 24)
Electrical Engineering and Automation     Open Access   (Followers: 9)
Electrical Engineering and Power Engineering     Open Access   (Followers: 2)
Electrical Engineering in Japan     Hybrid Journal   (Followers: 8)
Electrical, Control and Communication Engineering     Open Access   (Followers: 16)
Electrochemical Energy Reviews     Hybrid Journal   (Followers: 1)
Elektron     Open Access  
Elektronika ir Elektortechnika     Open Access   (Followers: 5)
Elkha : Jurnal Teknik Elektro     Open Access  
Emerging and Selected Topics in Circuits and Systems     Hybrid Journal   (Followers: 7)
Emitor : Jurnal Teknik Elektro     Open Access   (Followers: 6)
ETRI Journal     Open Access  
EURASIP Journal on Advances in Signal Processing     Open Access   (Followers: 8)
Ferroelectrics     Hybrid Journal   (Followers: 1)
Ferroelectrics Letters Section     Hybrid Journal   (Followers: 1)
Frequenz     Hybrid Journal   (Followers: 1)
Frontiers of Electrical and Electronic Engineering     Hybrid Journal   (Followers: 8)
Frontiers of Information Technology & Electronic Engineering     Hybrid Journal  
IEEE Access     Open Access   (Followers: 122)
IEEE Electrical Insulation Magazine     Full-text available via subscription   (Followers: 83)
IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology     Hybrid Journal   (Followers: 3)
IEEE Journal of Photovoltaics     Hybrid Journal   (Followers: 18)
IEEE Journal of Radio Frequency Identification     Hybrid Journal   (Followers: 4)
IEEE Journal of Selected Topics in Signal Processing     Hybrid Journal   (Followers: 42)
IEEE Journal on Miniaturization for Air and Space Systems     Hybrid Journal   (Followers: 2)
IEEE Letters on Electromagnetic Compatibility Practice and Applications     Hybrid Journal   (Followers: 4)
IEEE Networking Letters     Hybrid Journal   (Followers: 3)
IEEE Open Access Journal of Power and Energy     Open Access   (Followers: 4)
IEEE Open Journal of Antennas and Propagation     Open Access   (Followers: 7)
IEEE Open Journal of Circuits and Systems     Open Access   (Followers: 4)
IEEE Open Journal of Intelligent Transportation Systems     Open Access   (Followers: 7)
IEEE Open Journal of Power Electronics     Open Access   (Followers: 6)
IEEE Open Journal of Signal Processing     Open Access   (Followers: 4)
IEEE Sensors Journal     Hybrid Journal   (Followers: 103)
IEEE Sensors Letters     Hybrid Journal   (Followers: 3)
IEEE Signal Processing Magazine     Full-text available via subscription   (Followers: 90)
IEEE Solid-State Circuits Letters     Hybrid Journal   (Followers: 4)
IEEE Transactions on Control of Network Systems     Hybrid Journal   (Followers: 27)
IEEE Transactions on Dielectrics and Electrical Insulation     Hybrid Journal   (Followers: 30)
IEEE Transactions on Green Communications and Networking     Hybrid Journal   (Followers: 3)
IEEE Transactions on Network Science and Engineering     Hybrid Journal   (Followers: 3)
IEEE Transactions on Quantum Engineering     Open Access   (Followers: 3)
IEEE Transactions on Radiation and Plasma Medical Sciences     Hybrid Journal   (Followers: 4)
IEEE Transactions on Signal and Information Processing over Networks     Hybrid Journal   (Followers: 14)
IEEE Transactions on Sustainable Energy     Hybrid Journal   (Followers: 18)
IEEJ Transactions on Electrical and Electronic Engineering     Hybrid Journal   (Followers: 19)
IET Control Theory & Applications     Open Access   (Followers: 27)
IET Electric Power Applications     Open Access   (Followers: 53)
IET Electrical Systems in Transportation     Open Access   (Followers: 11)
IET Energy Systems Integration     Open Access   (Followers: 1)
IET Nanodielectrics     Open Access  
IET Smart Grid     Open Access   (Followers: 1)
IETE Journal of Education     Open Access   (Followers: 3)
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)     Open Access   (Followers: 3)
InComTech : Jurnal Telekomunikasi dan Komputer     Open Access   (Followers: 1)
Indonesian Journal of Electrical Engineering and Computer Science     Open Access   (Followers: 18)
Industrial Technology Research Journal Phranakhon Rajabhat University     Open Access  
InfoMat     Open Access   (Followers: 1)
Infotekmesin : Media Komunikasi Ilmiah Politeknik Cilacap     Open Access   (Followers: 1)
Ingeniería Electrónica, Automática y Comunicaciones     Open Access  
Integrated Ferroelectrics: An International Journal     Hybrid Journal  
International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems     Open Access   (Followers: 12)
International Journal of Electrical and Computer Engineering     Open Access   (Followers: 12)
International Journal of Electrical Engineering Education     Hybrid Journal   (Followers: 7)
International Journal of Electrical Power & Energy Systems     Open Access   (Followers: 34)
International Journal of Emerging Electric Power Systems     Hybrid Journal   (Followers: 7)
International Journal of Microwave Engineering and Technology     Full-text available via subscription   (Followers: 5)
International Journal of Monitoring and Surveillance Technologies Research     Full-text available via subscription   (Followers: 3)
International Journal of Nano Devices, Sensors and Systems     Open Access   (Followers: 14)
International Journal of Nuclear Security     Open Access   (Followers: 1)
International Journal of Turbomachinery, Propulsion and Power     Open Access   (Followers: 12)
International Transaction of Electrical and Computer Engineers System     Open Access   (Followers: 2)
International Transactions on Electrical Energy Systems     Hybrid Journal   (Followers: 9)
Iranian Journal of Science and Technology, Transactions of Electrical Engineering     Hybrid Journal  
Izvestiya Vysshikh Uchebnykh Zavedenii. Materialy Elektronnoi Tekhniki : Materials of Electronics Engineering     Full-text available via subscription  
J3eA     Open Access   (Followers: 2)
JAREE (Journal on Advanced Research in Electrical Engineering)     Open Access  
Journal of Control, Automation and Electrical Systems     Hybrid Journal   (Followers: 10)
Journal of Electrical and Computer Engineering     Open Access   (Followers: 9)
Journal of Electrical and Computer Engineering Innovations     Open Access   (Followers: 7)
Journal of Electrical and Electronics Engineering Research     Open Access   (Followers: 40)
Journal of Electrical Bioimpedance     Open Access   (Followers: 2)
Journal of Electrical Engineering     Open Access   (Followers: 47)
Journal of Electrical Engineering & Electronic Technology     Hybrid Journal   (Followers: 7)
Journal of Electrical Engineering & Technology     Hybrid Journal  
Journal of Electrical Systems and Information Technology     Open Access   (Followers: 7)
Journal of Electrical, Electronics and Informatics     Open Access  
Journal of Field Robotics     Hybrid Journal   (Followers: 5)
Journal of International Council on Electrical Engineering     Open Access  
Journal of Micro-Bio Robotics     Hybrid Journal   (Followers: 1)
Journal of Microwaves, Optoelectronics and Electromagnetic Applications     Open Access   (Followers: 10)
Journal of Power Technologies     Open Access   (Followers: 7)
Journal of Science and Application Technology     Open Access  
Journal of the Society for Information Display     Hybrid Journal  
Journal of World's Electrical Engineering and Technology     Open Access   (Followers: 2)
Journal on Today's Ideas - Tomorrow's Technologies     Open Access   (Followers: 1)
JPhys Energy     Open Access  
JPhys Materials     Open Access  
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer     Open Access  
Jurnal Ilmiah Mahasiswa SPEKTRUM     Open Access  
Jurnal Nasional Teknik Elektro     Open Access   (Followers: 4)
Jurnal Rekayasa Elektrika     Open Access  
Jurnal Teknik Elektro     Open Access  
Jurnal Teknik Elektro     Open Access   (Followers: 1)
Jurnal Teknik Elektro dan Komputer     Open Access  
Jurnal Teknologi Elektro     Open Access  
Kinetik : Game Technology, Information System, Computer Network, Computing, Electronics, and Control     Open Access   (Followers: 1)
La Rivista del Nuovo Cimento     Hybrid Journal   (Followers: 1)
Majalah Ilmiah Teknologi Elektro : Journal of Electrical Technology     Open Access   (Followers: 2)
Majlesi Journal of Electrical Engineering     Open Access   (Followers: 1)
Material Design & Processing Communications     Hybrid Journal  
Metrology and Instruments / Метрологія та прилади     Open Access   (Followers: 1)
Micro and Nano Systems Letters     Open Access   (Followers: 6)
Nanotechnology Development     Open Access   (Followers: 19)
npj Flexible Electronics     Open Access   (Followers: 1)
npj Materials Degradation     Open Access  
npj Quantum Materials     Open Access  
Open Electrical & Electronic Engineering Journal     Open Access  
Open Signal Processing Journal     Open Access   (Followers: 2)
Periodica Polytechnica Electrical Engineering and Computer Science     Open Access  
Presence : Teleoperators and Virtual Environments     Hybrid Journal   (Followers: 3)
Progress in Additive Manufacturing     Hybrid Journal   (Followers: 5)
Quantum Beam Science     Open Access   (Followers: 1)
Radio Science     Full-text available via subscription   (Followers: 43)
Recent Advances in Communications and Networking Technology     Hybrid Journal   (Followers: 3)
Recent Advances in Electrical & Electronic Engineering     Hybrid Journal   (Followers: 11)
Research & Reviews : Journal of Embedded System & Applications     Full-text available via subscription   (Followers: 6)
Russian Electrical Engineering     Hybrid Journal   (Followers: 5)
SAIEE Africa Research Journal     Open Access  
Sampling Theory, Signal Processing, and Data Analysis     Hybrid Journal  
Scientific Bulletin of Electrical Engineering Faculty     Open Access  
SID Symposium Digest of Technical Papers     Hybrid Journal  
Signal Processing     Hybrid Journal   (Followers: 9)
Signals     Open Access   (Followers: 1)
Simetris : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer     Open Access  
Sustainable Energy, Grids and Networks     Hybrid Journal   (Followers: 6)
Synthesis Lectures on Electrical Engineering     Full-text available via subscription   (Followers: 2)
System analysis and applied information science     Open Access  
Telematique     Open Access  
Transactions of the International Society for Music Information Retrieval     Open Access   (Followers: 1)
Transactions on Electrical and Electronic Materials     Hybrid Journal   (Followers: 1)
Transactions on Environment and Electrical Engineering     Open Access  
Trends in Electrical Engineering     Full-text available via subscription   (Followers: 4)
Tri Dasa Mega : Jurnal Teknologi Reaktor Nuklir     Open Access  
Universal Journal of Electrical and Electronic Engineering     Open Access   (Followers: 7)
Ural Radio Engineering Journal     Open Access   (Followers: 1)
Wireless Engineering and Technology     Open Access   (Followers: 5)
Електротехніка і Електромеханіка     Open Access   (Followers: 2)

           

Similar Journals
Journal Cover
Bulletin of Electrical Engineering and Informatics
Number of Followers: 10  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2089-3191 - ISSN (Online) 2302-9285
Published by Universitas Ahmad Dahlan Homepage  [16 journals]
  • Delta - Sigma ADC Modulator For Multibit Data Converters Using Passive
           Adder Entrenched Second Order Noise Shaping

    • Authors: Ali Nahar; Hussain K. Khleaf
      Abstract: This paper introduces a Multi-bit Data Converters (MDC) modulator of the 2nd order delta-sigma Analog-to-Digital Converter (almost ADC) use the passive adder proposed. The noise shaping quantizer can provide feedback that has generated quantization noise and perform additional 1st-order noise shaping by noise coupling method.Thus, two Integrator's with ring amplifier and the MDC is shaped by noise coupling quantizer know the 2nd-order noise coupled with somewhat of a DAC modulator. At a summing point, the inputs are summed and then filtered with a low pass filter. A cyclic second order response is generated with a Data Weighted Averaging (DWA) technique in which the DACs ' outputs are limited to one of two states in the noise shaping responses. The Signal to Noise and Distortion Ratio (SNDR) is limited by the input signal dynamic range and building block non-ideality characteristics, particularly by the harmonic distortion in amplifier circuits. Transistor rate is equipped for the fully differential switched condenser integrator used, a comparator and DWA. The modulator with proposed DWA design, almost quarterly improved timing margin. A simulated SNDR of 92dB is obtained at 20 MHz sampling frequency, while a sinusoidal output of 4.112 dBFS is sampled at 90 MS  and the bandwidth is 20 MHz. The power consumption is 0.33 mW while the voltage of the supply is 1.2V.   
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • Smart and Efficient System for the Detection of Wrong Cars Parking

    • Authors: Abdulkarem Almawgani; Adam Alhawari, A. N. Alhuthari, M. A. Alhezabr, M. S. Alharethi, F. H. Alqahtani, Turki Alsuwian
      Abstract: This paper presents a smart and efficient car-parking monitoring system that employs cameras to monitor cars and determine any improper parking. The proposed system is based on use of two cameras fixed into a mobile system comprising Arduino, four DC motors, and PIR sensor that responds to the allocated parking space, especially its painted rectangular lines. The mobile system moves when there is motion inside the parking space and the two cameras capture images of this space. Next, the captured images are processed using the MATLAB software. Then, the improperly parked cars are detected, identified by their plate numbers, and snapped and saved in a database. After designing the prototype, the proposed system was tested in five presumed cases. In each case, ten images were processed, thus 50 images were eventually obtained. Out of the 50 images, 48 images corresponded to correct detection whereas the other two images corresponded to wrong detection. Accordingly, efficiency of the proposed smart car-parking monitoring system is 96%. This system offers suitable solution in organizing and controlling the parking lots. Besides, it will prevent the driver from taking two spaces for parking her/his car.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • A New Modelisation of Laser Communication in Constellation and Through the
           Atmosphere Turbulence

    • Authors: Hachemi Chenina; Djamel Benatia, M’ Hamed Boulakroune
      Abstract: Laser communication between satellites in the constellation and from the satellites to ground stations offers a gigantic data rat for the users. This principal advantage drives telecom companies to develop this technology to use it like a carrier signal, the most disadvantage of this technology is the need to very complicated fin pointing systems between the transmitter and the receiver due to a very small beam divergence, continually moving of satellites in orbits and the distance between the satellites (tens of thousands of kilometers).The laser beam suffers continuously from several factors like internal and external vibrations, and the atmospheric turbulence. All these factors lead to augmentation in the Bit Errors Rate and therefore a degradation in the communication quality, This paper presents an in-depth study of the external effects of the transmission of the light signal from the ground station to the satellite through disturbances in the atmosphere, as well as an in-depth study of the effects of vibrations in the satellite on the transmission of the laser signal between satellites in the constellation by studying the effect of the intensity of these vibrations on the optical signal amplitude. Some solutions are suggested to improve the efficiency of optical satellites communications.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • The influence of data size on a High-Performance Computing Memetic
           Algorithm in Fingerprint Dataset

    • Authors: Priati Assiroj; Harco Leslie Hendric Spits Warnars, Edi Abdurachman, Achmad Imam Kistijantoro, Antoine Doucet
      Abstract: The fingerprint is one kind of biometric. This biometric unique data have to be processed well and secure. The problem gets more complicated as data grows. This work is conducted to process image fingerprint data with a memetic algorithm, a simple and reliable algorithm. In order to achieve the best result, we run this algorithm in a parallel environment by utilizing a multi-thread feature of the processor. We propose a high-performance computing memetic algorithm (HPCMA) to process a 7200 image fingerprint dataset which is divided into fifteen specimens based on its characteristics based on the image specification to get the detail of each image. A combination of each specimen generates a new data variation. This algorithm runs in two different operating systems, Windows 7 and Windows 10 then we measure the influence of data size on processing time, speed up, and efficiency of HPCMA with simple linear regression. The result shows data size is very influencing to processing time more than 90%, to speed up more than 30%, and to efficiency more than 19%.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • A Low Cost SSVEP-EEG based Human-Computer-Interaction System for
           Completely Locked-in Patients

    • Authors: Azhar Dilshad; Dr. Vali Uddin, Dr. Muhammad Rizwan Tanweer, Dr. Tariq Javid
      Abstract: Human Computer Interaction (HCI) for completely locked-in patients is a very difficult task. Nowadays, Information Technology (IT) is becoming an essential part of human life.  Patients with completely locked-in state are generally unable to facilitate themselves by these useful technological advancements. Hence, they cannot use modern IT gadgets and applications throughout the lifespan after disability. Advancements in Brain Computer Interface (BCI) enable operating IT devices using brain signals specifically when a person is unable to interact with the devices in conventional manner due to cognitive motor disability. However, existing state-of-the-art application specific BCI devices are comparatively too expensive. This paper presents a research and development work that aims to design and develop a low-cost general purpose HCI system that can be used to operate computers and a general purpose control panel through brain signals. The system is based on Steady State Visual Evoked Potentials (SSVEP). In proposed system, these electrical signals are obtained in response of a number of different flickering lights of different frequencies through electroencephalogram (EEG) electrodes and an open source BCI hardware. Successful trails conducted on healthy participants suggest that severely paralyzed subjects can operate a computer or control panel as an alternative to conventional HCI device.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • User experience evaluation for a bus tracking apps in smart campus
           initiative

    • Authors: Norazlina Khamis; Kelly Kong Kai Li
      Abstract: Satisfying user experience (UX) is one of the major goals for any application. A good UX will contribute to the higher rate adoption of the application itself. With the emergence of IoT, the concept of smart campus is widely being researched and developed. Smart campus initiative is relatively important as the campus can be considered as a small town by utilizing the same IT infrastructure as smart city. Bus tracking system is one of the initiatives in smart campus environment. One of the main issues is to assess the usability of this apps before it can be deployed widely in campus. This paper will discuss the user experiences evaluation using MeCUE technique on UMS HopIn! the first bus tracking apps as an initiative towards implementation of smart campus in Universiti Malaysia Sabah (UMS). The app gives user the real time location of campus buses and let users know the estimated time of arrival of buses as well as providing the real-time info regarding the current bus information. Based on user expectation evaluation it has been found that the application has meet within the expectation with most of the requirements has been fulfilled and the good of UX rating. Thus, the same approach can be applied to support the development of any future smart campus initiative.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • Electrical battery modeling for applications in wireless sensor networks
           and internet of things

    • Authors: Fahad Rasool; Micheal Drieberg, Nasreen Badruddin, Patrick Sebastian, Christopher Teh Jun Qian
      Abstract: Modeling the behavior of the battery is non-trivial. Nevertheless, an accurate battery model is required in the design and testing of systems such Wireless Sensor Network (WSN) and Internet of Things (IoT). This paper presents the one Resistive-Capacitance (1RC) battery model with simple parameterization technique for Nickel Metal Hydride (NiMH). This model offers a good trade-off between accuracy and parameterization effort. The model’s parameters are extracted through the pulse measurement technique and implemented in a physical and dynamic simulator. Finally, the performance of the model is validated with the real-life NiMH battery by applying current pulses and real wireless sensor node current profiles. The results of the voltage response obtained from both the model and experiments showed excellent accuracy, with difference of less than 2%.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • Impact of Nonintrusive Load Monitoring on CO2 Emissions in Malaysia

    • Authors: Keh-Kim Kee; Yun Seng Lim, Jianhui Wong, Kein Huat Chua
      Abstract: Nonintrusive load monitoring (NILM) based energy efficiency can conserve electricity by creating awareness with the behaviour change and shrinking CO2 emissions to the environment. However, the lack of effective models and strategies is problematic for policymakers to forecast quantitatively CO2 emissions. This paper aims to study the impact of NILM on CO2 emissions in Malaysia. Firstly, the predictive models were established based on Malaysia open data from 1996 to 2018. After that, scenario simulations were conducted to predict CO2 emissions and NILM impact on environmental degradation in 2019-2030. The results revealed that a 12% reduction in electricity consumption due to NILM could contribute to a 10.2% shrinkage of the total CO2 emissions. The result also statistically confirmed Malaysia to achieve a 45% reduction of CO2 intensity in 2030. With NILM, the carbon reduction can be further enhanced to 60.2%. The outcomes provide valuable references and supporting evidence for policymakers in planning effective carbon emission control policies and energy efficiency measures. The work can be extended by developing a decision support system and user interfaces access via the cloud.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • Optimal Setting of DOC Relay in Distribution System in Presence of D-FACTS

    • Authors: Lazhar BOUGOUFFA; Abdelaziz Chaghi
      Abstract: The process of selecting optimal settings for directional over-current relays (DOC relays) is selection of TDS (Time Dial Setting) and IP (Backup current), So that changes in the system of electrical power distribution. In this work, a Breeder Genetic Algorithm (BGA) has been applied to optimal settings of DOC Relays with multisystem D-FACTS devices. The simulation consists of two network operation scenarios, scenario without D-FACTS which consisting of coordination of DOC Relays against three phase faults, and the second scenarios with multi TCSC. In general, had been verified on optimal relays settings that the impacts of TCSC insertion in 33-bus distribution system on DOC Relays.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • Hybrid Renewable Energy PV and Darrieus VAWT as Propulsion Fuel of
           Prototype Catamaran Ship

    • Authors: Budhy Setiawan; Ekananda Sulistyo Putra, Indrazno Siradjuddin
      Abstract: Currently, marine transportation in the world still uses fossil fuels. In addition to running low on supplies, fossil fuels also cause emissions that cause global warming. Sea transportation generates around 1,000 million tonnes of CO2 emissions. Therefore, the exploration of alternative energy is becoming a popular research direction. Several renewable energy sources include solar and wind energy. Indonesia has an average wind speed of above 8 m/s at sea. Also, the energy potential of the sun is around 4.8 kWh/m2. Based on the potential of these renewable energy sources, this study discusses the potential of renewable energy sources from sunlight and wind, which are implemented in the prototype catamaran ship. The results obtained from the experiment, the total energy of PV and wind turbine generators is 774 Wh. This energy can be used to charge a battery with a battery specification of 35Ah for 6 hours
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • Optimum PID Controller for Airplane Wing Tires based on Gravitational
           Search Algorithm

    • Authors: siraj mahdi; Omar Nameer Mohammed Salim, Siraj Mahdi
      Abstract: In this paper, the gravitational search algorithm (GSA) is proposed as a method for controlling the opening and closing of airplane wing tires. The GSA is used to find the optimum proportional-integral-derivative (PID) controller, which controls the wing tires during take-off and landing. In addition, the GSA is suggested as an approach for overcoming the absence of the transfer function, which is usually required to design the optimum PID. The use of the GSA is expected to improve the system. Two of the most popular optimisation algorithms—the harmony search algorithm (HSA) and the particle swarm optimization (PSO)—were used for the sake of comparison. Moreover, the GSA-, HSA- and PSO-based optimum PID controllers were compared with one of the most important PID tuning methods, the Ziegler-Nichols (ZN) method. In this study, the integral time absolute error (ITAE) was used as a fitness function. First, four transfer functions for different applications were used to compare the performance of the GSA-based PID (PID-GSA), HSA-based PID (PID-HSA), PSO-based PID (PID-PSO) and Ziegler-Nichols-based PID (PID-ZN). Next, the GSA was used to design the optimum PID controller for the opening and closing systems of the airplane wing tires. The results reveal that the GSA provides better outcomes in terms of ITAE when compared with the other adopted algorithms. Furthermore, the GSA demonstrates a fast and robust response to reference variation.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • Pneumonia Detection using Butterfly optimization and hybrid Butterfly
           optimization algorithm

    • Authors: baydaa I. Khaleel; Manar Y. Ahmed
      Abstract: Pneumonia affects so many people around the world, which leads to many of them being killed. In order to identify and diagnose the disease, the patient must first undergo an X-ray scan of the chest (CXR). Disease will be identified according to the CXR images. Software diagnostic tools are used to help decision-making and to promote the pneumonia diagnosis process. From these tools is the Gray level distribution moments (GLDM) algorithm which is used for CXR image features extraction, and we used the meta-heuristic algorithm representing the basic butterfly optimization algorithm using lèvy flight (BOALF) and the modified butterfly optimization algorithm (BOARN) to detect pneumonia on the basis of these extracted features. And we've also been making hybrid between the BOA with fuzzy membership function to get as novel method fuzzy butterfly optimization algorithm (FBOA).These methods were based on various x-ray images of the chest. In testing phase, the proposed method obtained the highest diagnostic rate of the disease compared to the other two methods in this work.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • An evolutionary approach to comparative analysis of detecting Bangla
           abusive text

    • Authors: Tanvirul Islam; Nadim Ahmed, Subhenur Latif
      Abstract: The use of Bangla abusive texts has been accelerated with the progressive use of the Bangla language in social media. It is a matter of severe concern that by abusive comments in social media or any online platform, one can spread the hatred or negativity in a viral form which is a violation of cyber law or cybercrime. Consequently, plenty of research has been done on detecting abusive text in the English language. Bangla abusive text detection has not been done to a great extent, with few exceptions. But all previous works followed one specific approach. In contrast, here, we have applied three distinct approaches to a comprehensive dataset to obtain a better outcome. In the first experimental study, a large dataset collected from Facebook and YouTube has been utilized to detect abusive texts. After extensive pre-processing and feature extraction, a set of consciously selected supervised machine learning classifiers i.e. Multinomial Naïve Bayes (MNB), Multi Layer Perceptron (MLP), Support Vector Machine (SVM), Decision Tree, Random Forrest, Stochastic Gradient Descent (SGD), Ridge, Perceptron and k-Nearest Neighbors (k-NN) has been applied to the dataset to determine the best result. The second experiment is conducted by constructing a balanced dataset by random under sampling the majority class. And lastly, a Bengali stemmer is employed to stemming the dataset and then the final experiment is conducted. In all three experiments, SVM with the full dataset obtained the highest accuracy of 88% and f1-score of 88%.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • UI/UX integrated holistic monitoring of paud using the TCSD method

    • Authors: Erly Krisnanik; Tri Rahayu
      Abstract: User Interface (UI) / User Experience (UX) is one part of the stages in the development of the system to produce interactive and attractive web-based application layouts so that it is easy to understand and use by users. In this research, a case study was conducted on early childhood in Paud Kuntum Mekar. The design of the UI / UX model for holistic integrative paud monitoring becomes one of the solutions to help parents and teachers. The method used to design UI / UX is the Task Centered System Design (TCSD) approach starting from the stages: 1) Identification scope of use, 2) User Centered Requirement Analysis, 3) Design and Scenario and 4) Walkthrough Evaluate, the method used for system testing is user satisfaction and heuristic usability. The purpose of this study is the UI / UX design with TCSD can provide valid data needs of each actor based on the assignment and design of the story board of the developed system. The results of this research are UI / UX model design for integrative holistic paud monitoring application.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • Electricity-Theft Detection in Smart Grid Based on Deep Learning

    • Authors: Noor Mahmoud; Sufyan T. Faraj Al-Janabi, Belal Al-Khateeb
      Abstract: Electricity theft is a major concern for the utilities. The smart grid (SG) infrastructure generates a massive amount of data, including the power consumption of individual users. Utilizing this data, machine learning, and deep learning techniques can accurately identify electricity theft users. A convolutional neural network (CNN) model for automatic electricity theft detection is presented. This work considers experimentation to find the best configuration of the sequential model (SM) for classifying and identifying electricity theft. The best performance has been obtained in two layers with the first layer consists of 128 nodes and the second layer is 64 nodes. The accuracy reached up to 0.92. This enables the design of high-performance electricity signals classifiers that can be used in several applications. Designing electricity signals classifiers has been achieved using a CNN and the data extracted from electricity consumption dataset using a SM. In addition, the Blue Monkey (BM) algorithm is used to reduce the features in the dataset. In this respect, the focusing of this work is to reduce the features in the dataset to obtain high performance electricity signals classifier models.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • The Estimate of Amplitude and Phase of Harmonics in Power System using the
           Extended Kalman Filter

    • Authors: Mehrdad Ahmadi Kamarposhti; Ahmed Amin Ahmed Solyman
      Abstract: Nowadays, the amplitude of the harmonics in the power grid has increased unwittingly due to the increasing use of the nonlinear elements and power electronics. It has led to a significant reduction in power quality indicators. As a first step, the estimate of the amplitude, and the phase of the harmonics in the power grid are essential to resolve this problem. We use the Kalman filter to estimate the phase, and we use the minimal squared linear estimator to assess the amplitude. To test the aforementioned method, we use terminal test signals of the industrial charge consisting of the power converters and ignition coils. The results show that this algorithm has a high accuracy and estimation speed, and they confirm the proper performance in instantaneous tracking of the parameters.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • Execution Of A Smart Street Lighting System For Energy Saving Enhancement

    • Authors: Ihab Abdulrahman satam; Suhail N. Shahab, Haider Abdulameer Kamel
      Abstract: In many countries, in particular, third world countries. The common issue is the energy issue and how to save it. That`s why smart systems considered now primary for life requirements.This research work aims to solve the energy saving problem. We prepared a street model that contains several lampposts on both sides of the street, we placed three IR sensors between the lampposts alongside the street. The IR sensors are connected to the controller (in this work we used Arduino UNO). The controller takes the signal from the IR sensor, then it sends the command to the lamppost to turn on or off. Depending on the Number of cars passed (we took a sample of a number of cars that passed on an actual street) and through some formulas we calculated the power consumed by the lampposts in two cases, the first case is when the lights is always on. And the second case is when the Smart system applied. The results showed that the proposed smart lighting system is efficient and reliable in saving energy.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • Navigation and motion control techniques for surface unmanned vehicle and
           autonomous ground vehicle: a review

    • Authors: Putri Nur Farhanah Mohd Shamsuddin; Roshahliza M. Ramli, Muhamad Arifpin Mansor
      Abstract: An excellent Navigation, Guidance, and Control (NGC) system had a high impact on trajectory tracking and the following scenarios Both of these scenarios will include the heading, tangent, and velocity parameters in the computation.  However, the control system design problem is not a new issue in the USV and AGV due to this constraint faced by many researchers since early these autonomy developments. The researchers were upgrading several techniques to enhance the motion control system. Hence, this paper listed and emphasizing the techniques, including techniques implementation, strength, and the algorithm's constraints, a fusion of several techniques implemented for vehicle's stability, a turning ahead, and heading estimation. This paper concerns the similar algorithm used in the USV and AGV. Based on the review, more than fifty research papers have implemented the same motion control technique in USV and AGV. Most of the selected techniques are basic algorithms and have been frequently implemented to control both vehicles' systems. Previous research shows that Pure Pursuit guidance is the most popular technique in AGV to control the degree-of-Freedom (DOF) velocity and the dynamic rate (sway, surge, and yaw). Simultaneously, the line of sight (LOS) controller is very compatible with controlling the movement of the USV. Lyapunov-based guidance, predictive planning, and motion goal prediction are implemented in the computation control system to enhance the stability and increase the robustness of the USV and AGV in the jumbled condition such as high traffic on the track.  In conclusion, the technique's simulation test needs further research that will expose in the actual situation.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • (Y,Gd)BO3:Eu red phosphor for dual-layer phosphor structure to enhance the
           optical performance of white light-emitting diodes

    • Authors: Phung Ton That; Le Hung Tien
      Abstract: Among the structures using for fabricating white light-emitting diodes (WLEDs) such as the conformal coating or in-cup geometries, the remote phosphorus structure gives the highest lumen efficacy. However, in terms of color quality, its performance is not as good as the others. The red-light compensation has been reported as the effective solution for enhancing the color quality of WLEDs. Hence, this study adopted the idea and applied on the dual-layer phosphor structure. The phosphor used to boost the red color in light formation is (Y,Gd)BO3:Eu particle. The dual-layer remote phosphor structure was simulated with the red (Y,Gd)BO3:Eu phosphor layer above the original yellow phosphor YAG:Ce3+ one. The WLEDs with different correlated color temperatures of 5600 K, 6600 K and 7700K were experimented. Mie-theory and Lambert-Beer law were applied to examine the results. The growth in color rendering index (CRI) and color quality scale (CQS) with the increase of (Y,Gd)BO3:Eu phosphor concentration was observed. Nevertheless, the lumen efficacy would be degraded if the concentration rose over a certain number. The information provided in this article is useful for the development of high-power WLED production with greater color quality.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • Microstrip Patch Antenna with Metamaterial Using Superstrate Technic for
           Wireless Communication

    • Authors: Rasha Mahdi Salih; Ali Khalid Jassim
      Abstract: This work builds a metamaterial (MTM) superstrate loaded on a patch of microstrip antenna for wireless communications. The MTM superstrate is made up of four G-shaped resonators on FR-4 substrate with a relative permittivity of 4.3 and has a total area of (8×16) mm2. The MTM superstrate is higher than the patch. The MTM superstrate increases antenna gain while also raising the input reflection coefficient when it is 9 mm above the patch and 7 mm above the patch respectively. The gain increased from 3.28 dB to 6.02 dB, and the input reflection coefficient was enhanced from -31.217 dB to -45.8 dB When the MTM superstrate loaded antenna was compared to the traditional unloaded antenna, it was discovered that metamaterials have a lot of potential for improving antenna performance.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • Improved MSHA-1 Algorithm with Mixing Method

    • Authors: Rogel Ladia Quilala; Theda Flare G. Quilala
      Abstract: —Recently, a Modified SHA-1 (MSHA-1) has been proposed and claimed to have better security performance over SHA-1. However, the study showed that MSHA-1 hashing time performance was slower. In this research, an improved version of MSHA-1 was analyzed using avalanche effect and hashing time as performance measure applying 160-bit output and the mixing method to improve the diffusion rate.  The diffusion results showed the improvement in the avalanche effect of the improved MSHA-1 algorithm by 51.88%, which is higher than the 50% standard to be considered secured. MSHA-1 attained 50.53% avalanche effect while SHA1 achieved only 47.03% thereby showing that the improved MSHA-1 performed better security performance by having an improvement of 9.00% over the original SHA-1 and 3.00% over MSHA-1. The improvement was also tested using 500 random string for ten trials. The improved MSHA-1 has better hashing time performance as indicated by 31.03% improvement. Hash test program has been used to test the effectiveness of the algorithm by producing 1000 hashes from random input strings and showed zero (0) duplicate hashes.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • Design A Mobile Application for Vehicles Managing of a Transportation
           Issue

    • Authors: Seddiq Q. Abd Al-Rahman; Sameeh Abdulghafour Jassim, Ali Makki Sagheer
      Abstract: The movement of people between cities is leading to a recovery in the economy that Transportation companies have begun to dominate. These companies start providing the best services to customers and promoting them through workers to earn money properly. From this basis, this paper presents a system designed to manage a company that transports people and goods between a group of cities. Database management was used across the web to enable data exchange between workers. The database is designed to be accessible to workers. It has also been suggested that the elliptic curve can be used to generate public and private keys for all parties while the company's management generates a prime number every day to ensure the confidentiality of the exchanged data. In this proposal, the RSA algorithm is used to encrypt transferred data. It uses technology to exchange information if the recipient is not connected to the network. The proposed system performs a good service for the company’s management in securing the transferred data where smartphone applications are designed to work on it.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • Estimation of Lithium-Ion Battery State-of-Charge Using an Extended Kalman
           Filter

    • Authors: M. Lagraoui; A. Nejmi, H. Rayhane, A. Taouni
      Abstract: The main goal of a battery management system (BMS) is to estimate parameters descriptive of the battery pack operating conditions in real-time. One of the most critical aspects of BMS systems is estimating the battery's state of charge (SOC). However, in the case of a lithium-ion battery, it is not easy to provide an accurate estimate of the state of charge. In the present paper, which is a continuation of the work initiated in a previous article [1], we propose a mechanism based on an extended Kalman filter (EKF) to improve the state-of-charge estimation accuracy on lithium-ion cells. The paper covers the cell modeling and the system parameters identification requirements, the experimental tests, and results analysis. We first established a mathematical model representing the dynamics of a cell. We adopted a model that comprehends terms that describe the dynamic parameters like SOC, open-circuit voltage, transfer resistance, ohmic loss, diffusion capacitance, and resistance. Then, we performed the appropriate battery discharge tests to identify the parameters of the model. Finally, the EKF filter applied to the cell test data has shown high precision in SOC estimation, even in a noisy system.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • A smart guidance navigation robot using petri net, database location, and
           radio frequency identification

    • Authors: Yudhi Gunardi, Jumadril J. N; Dirman Hanafi
      Abstract: The objective of this research is, to explain a new framework to navigate the movement of the robot towards a target goal. This involves the need for the robot to move from the initial position to 1 out of 30 rooms. Therefore the strategy used involves the combination of the room database stored in the RFID data using the Petri net method to simulate and model the movement of the robot for navigation after which the dynamic behavior of the robot is moving to the desired location was analyzed. The process started from the creation of an environmental map determined by the user followed by modeling through Petri net and the result was used to produce a marking value which explains and navigates the movement of the robot towards the selected room. The marking value was also used as the database for the robot's movement and later substituted with the RFID to be used as the sensor input in the implementation stage. It was concluded that the robot has the ability to move to the target position according to the database stored in RFID and designed to move forward and turn left and right. For example, it followed the marking value M1 M2 M3M13M12 M11 M10 M9 M8 to Room 1 and M1 M2  M46 M47 to Room 29.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • Simulation analysis of equivalent circuit model of skin-electrode
           impedance for transcutaneous electrical stimulation

    • Authors: Joni Welman Simatupang; Wilbert Wijaya, David Tyler, Clementine Mavridis
      Abstract: For more than 50 years, transcutaneous electrical stimulation method has been used to cure the spinal cord injury, stroke or cerebral palsy. This method works by activating the excitable nerves, muscle fibers by electrical current stimulation through electrode interface to skin. Electrode to skin interface requires equivalent circuit to overcome the inability of measuring the skin resistivity directly. Therefore, equivalent circuit inside the E-textile must be modelled properly for it to represents the skin nature, which is resistive and capacitive. We have been learned several models after the skin from previous works, which are from Lawler, Moineau and Keller & Kuhn. Unfortunately, Moineau model neglects the capacitance effect (we then neglected this model in our simulation analysis), while Lawler and Keller and Kuhn include capacitive and resistive nature of skin in their equivalent circuits. Both models consisted of only one parallel RC block. This paper presents the simulation results of the proposed equivalent circuit model using two parallel RC circuits. Simulation of the proposed model is conducted in MATLAB 2015a and compared with two previous models (Lawler and Keller & Kuhn) using certain parameters. The results show that the proposed model obtained the impedance of 10.830 kΩ when it is simulated using 100Hz of frequency, for Lawler et.al model the impedance is 5.340 kΩ and Keller & Kuhn model the impedance obtained is 6.490 kΩ. Therefore, the proposed model has the refined impedance compared with other models and is expected to deliver better electrical stimulation.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • Modified iterative method with red-black ordering for image composition
           using poisson equation

    • Authors: Zakariah Aris; Nordin Saad, A’qilah Ahmad Dahalan, Andang Sunarto, Azali Saudi
      Abstract: Image composition involves the process of embedding a selected region of the source image to the target image to produce a new desirable image seamlessly. This paper presents an image composition procedure based on numerical differentiation using the laplacian operator to obtain the solution of the poisson equation. The proposed method employs the red-black strategy to speed up the computation by using two acceleration parameters. The method is known as modified two-parameter over-relaxation (MTOR) and is an extension of the existing relaxation methods. The MTOR was extensively studied in solving various linear equations, but its usefulness in image processing was never explored. Several examples were tested to examine the effectiveness of the proposed method in solving the poisson equation for image composition. The results showed that the proposed MTOR performed faster than the existing methods.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • A New Automated Smart Cart System for Modern Shopping Centres

    • Authors: Habeeb Bello-Salau; Adeiza James Onumanyi, David Michael, Ridwanullahi Isa, Caroline Alenoghena, Henry Ohize
      Abstract: Modern shopping centres are undoubtedly a beehive of intense shopping activities. However, customers are often plagued by salient challenges, which may include fatigue derived from pushing trolleys around the mall and prolonged sorting of bills by the cashier. These shopping challenges could be daunting for the elderly, disabled, pregnant and nursing mothers. In this paper, we addressed these shopping challenges by developing an autonomous shopping cart with the following characteristics: (1) it follows the customer’s movement relieving the need to push a cart (2) it bills automatically all stock placed in the cart (3) it prompts the customer to make payment and updates each stock via a local database. Our design adopts a raspberry pi, a camera and a few direct current motors programmed to achieve autonomy. We used an open source cross platform software called XAMPP to create the database and used RFID tags to bill the items placed in the cart automatically. The system updates payments and communicates these transactions to a local database via nRF24 wireless transceivers. The experimental tests conducted demonstrate that our system successfully followed customers accurately within the mall. We consider our design a major contribution to the vision of automated shopping systems for the near future
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • 5G Cognitive Radio system design with new algorithm Asynchronous spectrum
           sensing

    • Authors: mohammed mehdi saleh; Ahmed A. Abbas Hussein, AHMED Talaat HAMMOODI
      Abstract: Due to the rapid increase in wireless applications and the number of users, spectrum scarcity, energy consumption and latency issues will emerge, notably in the 5G system. Cognitive radio (CR) has arisen as the primary technology to address these challenges, allowing opportunist access to the spectrum and the ability to analyze, observe and learn how to respond to environmental 5G conditions. In order to use underused frequency bands without creating unnecessary interference with legacy networks, the CR has the ability to sense the spectrum and to detect empty bands. In this paper, we presented a spectrum sensing algorithm based on energy detection that allows secondary users to transmit asynchronous with primary users without causing harmful interference. This algorithm enabled to reduce 40% of the sensing time required to scan the entire working frequency band and it possible to use large frequency bands that could reach GHz. Acoording to the BER , the secondary users beter performance cmopare with primary users.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • Expecting Confirmed and Death Cases of COVID-19 in Iraq by Utilizing
           Backpropagation Neural Network

    • Authors: Moatasem Yaseen Al-Ridha; Ammar Sameer Anaz, Raid Rafi Omar Al-Nima
      Abstract: The world is currently facing a strong pandemic of Coronavirus. This virus pushes researchers to study, investigate and try solving its related issues. In this work, an artificial model of Backpropagation Neural Network (BNN) with two hidden layers is proposed for expecting confirmed and death cases of Coronavirus Disease 2019 (COVID-19). As a field of study, Iraq country has been considered in this paper. COVID-19 dataset from Our World in Data (OWID) is used here. Promising result is achieved where a very small error value of 0.0035 is reported in overall the evaluations.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • Hoax Analyzer for Indonesian News Using RNNs with fastText and GloVe
           Embeddings

    • Authors: Ryan Adipradana; Bagas Pradipabista Nayoga, Ryan Suryadi, Derwin Suhartono
      Abstract: Misinformation has become an innocuous yet potentially harmful problem ever since the development of internet. Numbers of efforts are done to prevent the consumption of misinformation, including the use of Artificial Intelligence, mainly Natural Language Processing. Unfortunately, most of Natural Language Processing use English as its linguistic approach since English is a high resource language. On the contrary, Indonesia language is considered a low resource language thus the amount of effort to diminish consumption of misinformation is low compared to English-based Natural Language Processing. This experiment is intended to compare fastText and GloVe embeddings for four Deep Neural Networks (DNN) models: Long Short-Term Memory (LSTM), Bidirectional Long Short-Term Memory (BI-LSTM), Gated Recurrent Unit (GRU) and Bidirectional Gated Recurrent Unit (BI-GRU) in terms of metrics score when classifying news between three classes: fake, valid, and satire. The latter results show that fastText embedding is better than GloVe embedding in supervised text classification, along with BI-GRU + fastText yielding the best result.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • A New Look on Performance of Small-cell Network with Design of Multiple
           Antennas and Full-duplex

    • Authors: Chi-Bao Le; Dinh-Thuan Do
      Abstract: This paper studies a downlink of small-cell network in term of outage performance. We benefit by design of multiple antennas at the base station and full-duplex transmission mode. The scenario of multiple surrounded small-cell networks is considered to look the impact of interference. We derive the closed-form expression of outage probability to show performance of mobile user. We investigate target rate is main factor affecting to outage performance. According to the considered system, simulation results indicate reasonable value of outage probability and throughput as well. Finally, we verify our results by conducting Monte-Carlo simulation method. The main results indicate that the outage performance of proposed system can be improved significantly if controlling interference term.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • Robust Speaker Verification by Combining MFCC and Entrocy in Noisy
           Conditions

    • Authors: Duraid Y. Mohammed; Khamis AlKarawi, Ahmed Aljuboori
      Abstract: Automatic speaker recognition may achieve remarkable performance in matched training and test conditions. Conversely, results drop significantly in incompatible noisy conditions. Furthermore, feature extraction significantly affects performance. Mel-frequency Cepstral coefficients MFCCs are most commonly used in this field of study. The literature has reported that the conditions for training and testing are highly correlated. Taken together, these facts support strong recommendations for using MFCC features in similar environmental conditions (train/test) for speaker recognition. However, with noise and reverberation present, MFCC performance is not reliable. To address this, we propose a new feature 'Entrocy' for accurate and robust speaker recognition, which we mainly employ to support MFCC coefficients in noisy environments. Entrocy is the Fourier Transform of the Entropy, a measure of the fluctuation of the information in sound segments over time. Entrocy features are combined with MFCCs to generate a composite feature set which is tested using the Gaussian Mixture Model (GMM) speaker recognition method. The proposed method shows improved recognition accuracy over a range of signal-to- noise ratios.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • Robotic arm joint position control using iterative learning and mixed
           sensitivity H∞ robust controller

    • Authors: Petrus Sutyasadi; Martinus Bagus Wicaksono
      Abstract: This paper proposes an improved control strategy of a robotic arm joint using hybrid controller consist of H∞ Robust Controller and Iterative Learning Controller. The main advantage of this controller is the simple structure that made it possible to be implemented on a small embedded system for frugal innovation in industrial robotic arm development. Although it has a simple structure, it is a robust H∞ controller that has robust stability and robust performance. The Iterative Learning Controller makes the trajectory tracking even better. To test the effectiveness of the proposed method, computer simulations using Matlab and hardware experiments were conducted. Variation of load was applied to both of the processes to present the uncertainties. The superiority of the proposed controller over the PID controller that usually being used in a low-cost robotic arm development is confirmed that it has better trajectory tracking. The error tracking along the slope of sinusoidal trajectory input was suppressed to zero. The biggest error along the trajectory that happened on every peak of the sinusoidal input, or when the direction is changed has been improved from 15 degrees to 4 degrees. This can be conceived that the proposed controller can be applied to control a low-cost robotic arm joint position which is applicable for small industries or educational purpose.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • Comparative studies of Multiscale Edge Detection using Different Edge
           Detectors for MRI thigh

    • Authors: Belinda Chong Chiew Meng; Dayang Suhaida Awang Damit, Nor Salwa Damanhuri
      Abstract: Edge detection plays an important role in computer vision to extract object boundary. Multiscale edge detection method provides a variety of image features by different resolution at multiscale of edges. The method extracts coarse and fine structure edges simultaneously in an image. Due to this, the multiscale method enables more reliable edges are detected. Most of the multiscale methods are not translation invariant due to the decimated process. They mostly depend on the corresponding transform coefficients. These methods need more computation and a larger storage space. This study proposes a multiscale method that uses an average filter to smooth image at three different scales. Three different classical edge detectors namely Prewitt, Sobel and Laplacian were used to extract the edges from the smooth images. The edges extracted from the different scales of smooth images were then combined to form the Multiscale edge detection. The performances of the multiscale images extracted from the three classical edge detectors were then compared and discussed.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • Convolutional neural network for semantic segmentation of fetal
           echocardiography based on four-chamber view

    • Authors: Muhammad Naufal Rachmatullah; Siti Nurmaini, Ade Iriani Sapitri, Annisa Darmawahyuni, Bambang Tutuko, Firdaus Firdaus
      Abstract: The acute shortage of trained and experienced sonographers causes the detection of congenital heart defects (CHDs) extremely difficult. In order to minimize this difficulty, an accurate fetal heart segmentation to the early location of such structural heart abnormalities prior to delivery is essential. However, the segmentation process is not an easy task due to the small size of the fetal heart structure. Moreover, the manual task for identifying the standard cardiac planes, primarily based on a four-chamber view, requires a well-trained clinician and experience. In this paper, a CNN method using U-Net architecture was proposed to automate fetal cardiac standard planes segmentation from ultrasound images. A total of 519 fetal cardiac images was obtained from three videos. All data is divided into training and testing data. The testing data consist of 106 slices of the four-chamber segmentation tasks, i.e. atrial septal defect (ASD), ventricular septal defect (VSD), and Normal. The segmentation of the post-processing method is needed to enhanced the segmentation result. In this paper, a combination technique with U-Net and Otsu thresholding gives the best performances with 99.48%-pixel accuracy, 96.73% mean accuracy, 94.92% mean intersection over union, and 0.21% segmentation error. In the future, the implementation of Deep Learning in the study of CHDs holds significant potential for identifying novel CHDs in heterogeneous fetal hearts.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • Spell corrector for Bangla language using Norvig’s Algorithm and
           Jaro-Winkler distance

    • Authors: Istiak Ahamed; Maliha Jahan, Zarin Tasnim, Tajbia Karim, S. M. Salim Reza, Dilshad Ara Hossain
      Abstract: In the Online World, especially in the social media platform most of us write without much regard to correct spelling and grammar. The spelling mistakes are much larger in proportion when it comes to Bangla language. In our paper, we presented a method for error detection and correction in Bangla words' spellings. Our system could detect a misspelled Bangla word and provide two following services- suggesting correct spellings for the word and correcting the word. We had used Norvig's Algorithm for the purpose but instead of using probabilities of the words to prepare the suggestions and corrections, we had used Jaro-Winkler distance. The previous works done in this field for Bangla language are either very slow or offers less accuracy. Our system successfully achieved a 97% accuracy when evaluated with 1000 Bangla words.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • Keyseg: Adaptive Segmentation for Spontaneous EEG Map Series into
           Spatially Defined Microstates of Musicians' Brain

    • Authors: Indra K. Wardani; Phakkharawat Sittiprapaporn, Djohan Djohan, Fortunata Tyasrinestu, Prayoon Suyajai
      Abstract: Recently, music is being studied related to either its impact on the psychological interaction or cognitive process behind it. These examinations bring out music's coordination to numerous disciplines including neuroscience. A few past examinations exhibited the contrast among musicians and non-musicians regarding brain structure and brain activity. Rather than separating brain activity among musicians and nonmusicians, the current investigation exhibited diverse brain activation while musicians tuned in to music with regards to their musical experiences. The investigation intended to determine electroencephalography (EEG) microstate changes in Karawitan musicians' brains while tuning in to Gendhing Lancaran. Applying the EEG microstate investigation of 20 Karawitan musicians, the occurrence parameters were computed for four microstate classes (A, B, C, and D). Microstate properties were compared among subjects and correlated to Gendhing Lancaran perception. The present results revealed that Karawitan musicians' brains were characterized by EEG microstate classes with the increased prominence of classes A, B, and D, but decreased prominence of classes C while tuning into Gendhing Lancaran, traditional music of Java. The current investigation exhibited the diverse brain activity while musicians tuned in to music with regards to their musical experiences utilizing EEG microstate classes method analysis. Thus, our finding is the first study to identify the typical microstate EEG characteristics of the Karawitan musician's brains while tuning in to the traditional Javanese music, Gendhing Lancaran, by using the microstate segmentation method.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • Image Confusion and Diffusion Based on Multi-Chaotic system and Mix-Column

    • Authors: Amal Maryoosh; Zahraa Salah Dhaif, Raniah Ali Mustafa
      Abstract: In the present paper, an image encryption scheme is proposed based upon multi-stage confusion and diffusion by the use of Arnold cat map, Lorenz system, image permutation method and Mix-column. Diffusion process was implemented twice, first, by permuting the plain image based on Arnold cat map and, the second time by permuting the plain image via the proposed permutation algorithm. Confusion process has been performed many time, by performing the XOR operation between the two resulting permuted image, by implementing the Mix-column on the resulting image and using Lorenz key to obtain the encrypted image. The experimental results have shown that the suggested algorithm has been resistant against different types of the attacks.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • Evaluation of appliances mobile controller system using
           expectation-confirmation theory model

    • Authors: Aslina Baharum; Chew Yun Fai, Rozita Ismail, Ismassabah Ismail, Farhana Diana Deris, Noorsidi Aizuddin Mat Noor
      Abstract: Nowadays, most Malaysians have used overpower usage of house appliances. Malaysian does not have the habit of controlling the household’s electricity consumption every day. Reducing electricity consumption is better for the Earth, reducing harmful greenhouse emissions and minimizing the household's overall impact. Besides, one of the safety problems that Malaysian currently face is thieves entering the house when the owner is outstation or traveling. The proposed home appliance controller application can control and calculate the power consumption of home appliances. It can also control and set automatic timing based on the light to cause thieves to realize that the house may have people since the lights were turned on. This paper aims to identify the application features of controllers for home appliances, then develop the mobile application not only for gaming or entertainment but for better, enhanced, convenience and efficiency of lifestyle and finally to evaluate the users’ acceptance towards mobile app using Expectation-Confirmation Theory model. Results show that perceived usefulness significant with confirmation (0.61) and continuance intentions (0.69). Perceived usefulness was demonstrated to be an essential predictor of continuance intentions (0.44). With this system or app, house appliances will be communicated and under control by the house owner.
      PubDate: Sun, 01 Aug 2021 00:00:00 +000
       
  • Optimization of location and size of distributed generations for
           maximizing their capacity and minimizing power loss of distribution system
           based on cuckoo search algorithm

    • Authors: Thang Nguyen; Trieu Ton Ngoc, Thang Trung Nguyen, Thanh-Phuc Nguyen, Ngoc Au Nguyen
      Abstract: Maximizing capacity of distributed generations (DGs) embed into distribution system is one of the solutions to attract investment for installation of DGs on the distribution system. This paper presents a method of optimizing location and capacity of DGs for maximizing DGs capacity and minimizing power loss of the distribution system based on cuckoo search algorithm (CSA). The proposed problem and method are simulated on two test systems consisting of the 33-nodes and 69-nodes distribution systems. The numerical results have demonstrated that the proposed method not only reduces power losses but also maximizes the power of DGs embed into the distribution system. The results also show that the proposed CSA method is better performance that some other methods in the literature in terms of power loss and DGs capacity. The results obtained in many independent runs for two test systems indicate that CSA in one of the reliable methods for the DGs placement problems.
      PubDate: Thu, 01 Jul 2021 00:00:00 +000
       
  • An Effective Network Reconfiguration Approach of Radial Distribution
           System for Loss Minimization and Voltage Profile Improvement

    • Authors: Surender Reddy Salkuti; Neelakanteshwar Rao Battu
      Abstract: Distribution system represents a crucial portion of power system as it is the connection between the bulk power transmission network and the customers connected at load point. Distribution networks are increasing in size and are spread too far. Low reactance to resistance ratio and large size of network leads to higher power losses in lines and low node voltage at customer end. High power losses reduce the efficiency and affect the economy. Therefore, in this paper an algorithm for reconfiguration of distribution system for loss reduction and voltage profile enhancement is proposed. The proposed reconfiguration approach has been applied to 16 bus radial distribution system (RDS).
      PubDate: Fri, 25 Jun 2021 07:58:43 +000
       
  • An efficient and improved model for power theft detection in Pakistan

    • Authors: Abid Afridi; Abdul Wahab, Shamsher Khan, Wasi Ullah, Sheharyar Khan, Syed Zia Ul Islam, Kashif Hussain
      Abstract: The paper describes an improved model for the monitoring of power used by a party such as household users and different industries in pakistan. The power theft detection was done using the intelligent IoT system for calculating the user's power simultaneously. The power meter catches a theft detection device that is instantly transmitted to the central system and informs the organization of the electricity meter when the hooking, meter relief or theft activities happen. Information the theft detection through the Global Mobile Communications System is transmitted and notified theft is displayed on the terminal monitor or won. As a result, although consumers continue to use excess fuel, the customer's power supply is cut in the electricity boards segment. The General Radio Package Module System sends central circuit and meter data via an Internet protocol address to a web server. GSM's Internet of Things service. The IOT-based perception is used to monitor the power supply and billing information calculated with a microcontroller continuously with the determination of the electricity table area. With this unit, the duplicate user can be located at the rear of the electricity office with the power meter status..
      PubDate: Fri, 25 Jun 2021 07:58:43 +000
       
  • The Study on the Effect of Voltage Ripple on Multiphase Buck Converters
           with Phase Shedding Control Scheme for SCADA Applications

    • Authors: Mini P Varghese; A. Manjunatha, T. V. Snehaprabha
      Abstract: Voltage Regulator Modules (VRM) need to have tight efficiency and transient response requirements to power advanced microprocessors. This paper explains a phase shedding technique to enhance efficiency and the effect of output current ripple in multiphase buck converter. The Phase shedding control scheme is suitable for applications which requires a low voltage and high current power supply, such as power sources for programmable logic controllers, which is a part of SCADA systems. Working of multiphase buck converter with phase shedding is verified with the help of Mat lab / Simulink software. Simulation results show the effect of phase shedding technique on efficiency in varying load conditions and the effect of increase of output voltage ripple.
      PubDate: Fri, 25 Jun 2021 07:58:43 +000
       
  • Compensating the Performance of Permanent Magnet Synchronous Machines for
           Fully Electric Vehicle Using LPV Control

    • Authors: Hassam Muazzam; Mohamad Khairi Ishak, Athar Hanif
      Abstract: The state-of-the-art robust H∞ linear parameter-varying controller is designed for wide speed operating range for non-linear mathematical model of Permanent Magnet Synchronous Machines (PMSM) in d-q reference frame for fully Electric Vehicle. This study propose polytopic approach using rotor speed as scheduling variable to reformulate mathematical model of PMSM into Linear Parameter Varying (LPV) form. The weights were optimized for sensitivity and complementary sensitivity function. The simulation results illustrate fast tracking and enhanced performance of the proposed control technique over wide range of rotor speed. Moreover, as part of this work, the results of H∞ linear parameter varying controller is validated by comparing it with linear quadratic integrator and Proportional Integral Derivative (PID) control techniques to show the effectiveness of the proposed control technique.
      PubDate: Fri, 25 Jun 2021 07:58:43 +000
       
  • Digital Centralized Water Meter using 433 MHz LoRa

    • Authors: Hudiono Hudiono; Mochammad Taufik, ridho hendra yoga perdana, Amalia Eka Rakhmania
      Abstract: The local water supply corporation in Indonesia only uses an analog water meter so that the monitoring of water usage information was conducted by officers manually. Officers must physically monitor the value in the customer's water meter that can lead to unreliable reading and ineffectiveness of the process. A smart meter is one of the smart city metrics which could overcome this problem. This research uses the flow sensor to design and incorporate automated water meters. The measured value is then passed via the 433 MHz LoRa, a low-power wide-area network protocol, to the local hub, then forwarded to the server via the internet-based cellular network. Results show that our proposed system's accuracy hit 97,31 percent at an ideal distance of 200 meters from the customer to the local hub. The customer's water usage could be tracked in real-time with our proposed system. Furthermore, the original water meter need not be replaced which may minimize capital costs for this system.
      PubDate: Fri, 25 Jun 2021 07:58:43 +000
       
  • Design and Compact Microstrap Patch antenna using T-Shaped Slot for 5G
           Wireless Communications

    • Authors: Ali Abdulateef Abdulbari; Mustafa Mohammed Jawad, H. O. Hanoosh, Murtaja Ali Saare, Saima Anwar Lashari, Sari Ali Sari, Sarosh Ahmad, Yaser Khalill, Yaqdhan Mahmood Hussain
      Abstract: This paper presents a miniaturised T-shaped rectangular microstrip patch antenna workings; the T-shaped patch operating at 3.6 GHz resonating frequency range for 5G application (from 2.9 to 4.4 GHz). The overall size of the proposed antenna is 22 × 24 × 0.25 mm3, using a 50 Ω microstrip line to feed the antenna from the bottom. The proposed antenna is a fabrication of R/Duroid 588lz substrate having (ɛr) 2.00dielectric constant and (tan δ) 0.02 in loss tangent. The proposed antenna introducesmany advantages like small size, low profile, and simpler structure. The characteristics such as radiation pattern, reflection coefficient, gain, current distribution, and radiation efficiency are respectively presented and discussed,using CST Microwave Study insimulatingand analysing. Introducing a slot with a rectangular T-shaped patch antenna achieved lower frequency with 98.474% radiation efficiency and peak gain of the proposed antenna at 2.52 dB. The fractional bandwidth is 42.81% (2.90 GHz to 4.48 GHz) with a resonant frequency of 3.6 GHz and return loss at 28.76dB. Thisfrequency band attributessuited 5G mobile application.
      PubDate: Fri, 25 Jun 2021 07:58:43 +000
       
  • Filtered orthogonal frequency division multiplexing for improved 5G
           systems

    • Authors: Ammar A. Sahrab; Alaa Doohee Yaseen
      Abstract: Wireless communications became an integrated part of the human life. Fifth generation (5G) is the modern communication which provides enhanced mobile broadband (eMBB), ultra reliable low latency communications (URLLC), and massive machine type communication (mMTC). Thus, 5G have to provide coverage to multi-numerology devices, therefore, modulation and access schemes are suggested in the literature such as cyclic prefix orthogonal frequency division multiplexing (CP-OFDM) and filtered OFDM (f-OFDM). CP-OFDM suffers from the high out of band emission which limited the multi-numerology applications. In f-OFDM, the out of band emission can be suppressed to an accepted extent such that different numerologies can be coexisting. On the other hand, f-OFDM can be more improved by using a proper filtering approach. In this paper three different filters are suggested based windowed-sinc function; Hanning, Hamming, and Blackman. Simulation results show that the proposed filters are promising for high spectral efficiency and out of band emission rejection. Furthermore, the bit error rate, error vector magnitude, and power spectral density are further improved with respect to CP-OFDM scheme but some trade-off is present. Overall, the suggested windowed-sinc filters are outperforming the traditional CP-OFDM. As a conclusion, the suggested windnowed-sinc filters have no limitations on the modulation order or the number of subcarriers utilized in the system.
      PubDate: Fri, 25 Jun 2021 07:58:43 +000
       
  • Data Mining Applied About Polygamy Using Sentiment Analysis on Twitters in
           Indonesian Perception

    • Authors: Hertina Hertina; Muhammad Nurwahid, Haswir Haswir, Hendri Sayuti, Amri Darwis, Miftahur Rahman, Rado Yendra, Muhammad Luthfi Hamzah
      Abstract: Polygamy remains one of the interesting key topics in various society, especially Indonesia. polygamy is the act of marrying multiple spouses that means having more one wife at the same time, is common case in worldwide. In this problem, the most of Muslim in Indonesia adopt Islamic Law that let men to do the polygamy with certain requirements. In worldwide communities, this has been a prominent feature and has become the subject of numerous books, heated debates, journal articles, discussion papers and so on. Furthermore, in Indonesia the polygamous marriage has recently become a heated topic. Despite controversy, Indonesia’s law, of recent, allows people for doing polygamy in certain conditions. Because the polygamy is often debated, this study focuses on assessment of Indonesian’s perceptions through Sentiment Analysis and would determine people’s perception about polygamy issue from 500 tweets on Twitter. to conclude, it elucidates that the polygamy in Indonesia is a normal thing and few assume the case is as negative thing
      PubDate: Fri, 25 Jun 2021 07:58:43 +000
       
  • Spoken Language Identification Using I-Vectors, X-Vectors, PLDA and
           Logistic Regression

    • Authors: Ahmad Iqbal Abdurrahman; Amalia Zahra
      Abstract: In this paper, i-vector and x-vector is used to extract the features from speech signal from local Indonesia languages, namely Javanese, Sundanese and Minang languages to help classifier identify the language spoken by the speaker. PLDA are used as the baseline classifier and Logistic Regression technique are used because of prior studies showing Logistic Regression has better performance than PLDA for classifying speech data. Once these features are extracted. The feature is going to be classified using the classifier mentioned before. In the experiment, we tried to segment the test data to three segment such as 3, 10, and 30 seconds. This study is expanded by testing multiple parameters on the i-vector and x-vector method then comparing PLDA and Logistic Regression performance as its classifier. The x-vector has better score than i-vector for every segmented data while using PLDA as its classifier, except where the i-vector and x-vector is using Logistic Regression, i-vector still has better accuracy compared to x-vector.
      PubDate: Fri, 25 Jun 2021 07:58:43 +000
       
  • A critical success factors for software project manager in GVTs within
           COVID-19 pandemic

    • Authors: Ali Yahya Gheni; Hiba Adil Yousif, Yusmadi Yah Jusoh
      Abstract: The the COVID-19 pandemic sweeping the world and has rendered a large proportion of the workforce as they are unable to commute to work to mitigate the spread of the virus. This has resulted in employees and employers seeking alternative work arrangements, including the software industry. Due to the pandemic, most if not all workers experienced working virtually and has become a policy priority for most public and private sector. Therfore, the trend is to perform software development work via distributed geographical area among team, individual or even as an organization. Then comes the need for the global market and international presence of many companies to implement the global virtual teams (GVTs). GVTs members are gradually engaged in globalized business environments across space, time and organizational boundaries via information and communication technologies. Despite the advancement of technology, the project managers are still facing many challenges to communicate with their teams smoothly. Hense, to become a successful project manager still a big challenge for them. This study is trying to identify the Critical Success Factors (CSFs) for software project manager. A literature review was conducted to identify the CSFs. Next, an online survry was conducted to rank those factors according to their propriety. An online survey was distributed among the software developers, project managers, and academicans. The Statistical Package for Social Science (SPSS 22) was used to analyze the data collection. Twelfth CSFs were identified in this study. Also, the findings indicated that leadership skills factor is the highest factor level ranking in this study.
      PubDate: Fri, 25 Jun 2021 07:58:43 +000
       
  • Applying SiO2 nano-particles for improving optical properties of WLED
           conformal and in-cup structures

    • Authors: My Hanh Nguyen Thi; Pham Quang Minh
      Abstract: This article is the analysis of SiO2 nano-particles’ influences on the luminous efficiency and the color temperature uniformity of a remote phosphor structure in a WLED. The purpose of integrating SiO2 into the silicone layer in the remote phosphor structure is to significantly promote the scattering occurrences. Particularly, with an appropriate proportion of SiO2, there could be more blue lights generated at large angles, leading to reducing the angular-dependent color temperature deviation. The luminous flux also can get benefits from SiO2 addition owing to a proper air-phosphor layer refractive index ratio provided by this SiO2/silicone compound. The attained experimental results were compared with optical values of a non-SiO2 remote phosphor configuration and showed a notable enhancement. The color deviation was reduced by approximately 600 K in the angles from -700 ­to 700. Additionally, the lumen efficiency was improved by 2.25% at 120 mA driving current. Hence, SiO2 can be used to boost both color uniformity and luminous efficacy for remote-phosphor WLED.
      PubDate: Wed, 23 Jun 2021 00:00:00 +000
       
  • Effects of NaB2O4:Mn2+ and Ba2Li2Si2O7:Sn3+, Mn2+ phosphors and remote
           structure organizations on the white light-emitting diodes with quantum
           dots and phosphors

    • Authors: My Hanh Nguyen Thi; Le Nguyen Hoa Binh
      Abstract: In order to increase the optical features of white light-emitting diodes (WLEDs), quantum dots (QDs) and phosphor materials have been proposed because of outstanding performance. The configuration of WLEDs with QDs layer and phosphor-silicone layer suggested placing these components separately to limit light loss, and enhance consistency at contact surface of QDs. In this research, the effects of QDs and phosphor on the performance of WLEDs are concluded through experiments. The emitted light and PL spectra were examined thoroughly, and infrared thermal imagers were applied to simulate the heat generation of an actual WLED device. The results show that with the configuration of 60 mA energy source, WLEDs which has the QDs-on-phosphor form attained luminous efficiency (LE) of 110 lm/W, with color rendering index (CRI) of Ra=92 and R9=80, whereas the WLEDs which has the phosphor-on-QDs form only has 68 lm/W in LE, Ra=57 and R9=24. Furthermore, WLEDs which has the QDs-on-phosphor form has less high temperature generated at the components’ conjunction in comparison to the counterpart, the peak generated heat in QDs-on-phosphor WLEDs is also lower and the heating capacity gap between 2 structures can go up to 12.3°C. From these results, the QDs-on-phosphor is apparently better for the performance of WLEDs, which can be applied for the course of manufacture to form higher quality WLEDs.
      PubDate: Wed, 23 Jun 2021 00:00:00 +000
       
  • Triple-layer remote phosphor structure: a selection of the higher color
           quality and lumen efficiency for WLEDs

    • Authors: My Hanh Nguyen Thi; Le Hung Tien
      Abstract: To enhance color quality of glass-based phosphor-converted white light-emitting diodes (pc-WLEDs) with multi-layer remote phosphor layer structures, two phosphors, green CdS:In and red ZnS:Te,Mn, are integrated into the glass matrix and applied to the dual-layer and triple-layer WLED packages. The attained results were examined with Mie-scattering theory and Lambert-Beer law. The dual-layer showed significant enhancement in color rendering index (CRI), in the range of approximate 80-90. Meanwhile, CRI in the triple-layer was lower and stayed around 66. In terms of color quality scale (CQS), a more overall color evaluating index, triple-layer structure helps the glass-based WLED achieve higher value than the dual-layer. The triple-layer is also beneficial to the luminous efficacy, according to the experimented results. Thus, the triple-layer structure can be used to strengthen the benefit of the glass matrix used in WLED products.
      PubDate: Wed, 23 Jun 2021 00:00:00 +000
       
  • Determining Patterns of Student Graduation using a Bi-Level Learning
           Framework

    • Authors: Tossapon Boongoen; Natthakan Iam-On, Tossapon Boongoen, Komkrit Kaewchay, James Mullaney
      Abstract: The practice of data science, or artificial intelligence (or AI) in general, has expanded greatly in terms of both theoretical and application domains. Many existing and new problems have been tackled using different reasoning and learning methods. These include the research subject, generally referred to as education data mining (or EDM). Among many issues that have been studied in this EMD community, student performance and achievement provide an interesting, yet useful result to shaping effective learning style and academic consultation. Specific to this work at Mae Fah Luang University, the pattern of students’ graduation is determined based on their profile of performance in different categories of courses. This course-group approach is picked up to generalize the framework for various undergraduation programmes. In that, a bi-level learning method is proposed in order to predict the length of study before graduation. At the first tier, clustering is applied to derive major types of performance profiles, for which classification models can be developed to refine the prediction further. With the experiments on a real data collection, this framework usually provides accurate predictive outcomes, using several conventional classification techniques.
      PubDate: Mon, 14 Jun 2021 07:34:15 +000
       
  • Comparison of Dimensionality Reduction and Clustering for Sars-Cov-2
           Genome

    • Authors: Untari N. Wisesty; Tati Rajab Mengko
      Abstract: SARS-CoV-2 virus has high transmission rate that in just two months the disease has become a pandemic in most countries in the world. In this paper, an analysis of the SARS-CoV-2 genome variation was carried out by comparing the results of genome clustering using several clustering algorithms and distribution of sequence in each cluster. The clustering algorithms used are K-means, GMM, AHC, Mean-shift clustering, and DBSCAN. However, the clustering algorithm has a weakness in grouping data that has very high dimensions such as genome data, so that a dimensional reduction process is needed. In this research, dimensionality reduction was carried out using PCA and Autoencoder method with three models that produce 2, 10, and 50 features. Based on the results of experiments conducted, PCA and DBSCAN algorithm achieve the highest silhouette score of 0.8770 with three clusters when using two features. And both training data and testing data, more than half of them enter one cluster and the rest are distributed in the other two clusters.
      PubDate: Mon, 14 Jun 2021 07:29:49 +000
       
  • Novel Load Balancing Approach Based on ACO Technique in Cloud Computing

    • Authors: Yasameen A.Ghani Alyouzbaki; Muaayed F. Al-Rawi
      Abstract: The cloud is the framework in which communication is connected with virtual machines, data centers, hosts and brokers. The broker searches for a highly reliable cloudlet virtual machine for execution. Vulnerability can occur in the network because of which framework gets overburden. A research strategy is introduced in this article to expand the fault tolerance of the framework. The proposed enhancement depends on the algorithm of ant colony optimization (ACO) that can choose the better virtual machine on which is to migrate the cloudlet. The efficiency of the proposed approach simulated in terms of execution time, energy consumption and examined with CloudSim. The introduction is provided in this article with a detailed description of cloud computing and, in addition, green cloud computing with its models. This article also discussed the virtual machine (VM) in more depth in the introduction section, which allows cloud service providers to supervise cloud resources competently while dispensing with the need for human oversight. Then the article submitted and explained the related works with their drawbacks and then it explained the novel proposed load balancing based on ACO technique. The simulation results showed that the time and energy consumption of the proposed technique based on ACO algorithm were lower compared to the three-threshold energy saving algorithm (TESA). The suggested approach can be utilized in cloud computing for load balancing. This article revealed that execution time and space consumption are raised at a constant rate due to virtual machine overloading, where the ACO algorithm is utilized, which will migrate the virtual machine task that is overloaded for effective execution to another virtual machine. In CloudSim, the efficiency of the suggested approach is examined and it is analyzed that after virtual machine migration, execution time and space usage are decreased.
      PubDate: Mon, 14 Jun 2021 07:24:16 +000
       
  • Convolutional Neural Networks Framework for Human Hand Gesture Recognition

    • Authors: Aseel Ghazi Mahmoud; Ahmed Mudheher Hasan, Nadia Moqbel Hasan
      Abstract: Recently, the recognition of human hand gestures is becoming a valuable technology for various applications like sign language recognition, virtual games and robotics control, video surveillance, home automation, and etc. Owing to the recent development of deep learning and its excellent performance, deep learning-based hand gesture recognition systems can provide promising results. However, accurate recognition of hand gestures remains a substantial challenge that faces most of the recently existing recognition systems. In this paper, convolutional neural networks (CNN) framework with multiple layers for accurate, effective, and less complex human hand gesture recognition has been proposed. Since the images of the infrared hand gestures can provide accurate gesture information through the low illumination environment, the proposed system is tested and evaluated on a database of hand-based near-infrared which including ten gesture poses. Extensive experiments prove that the proposed system provides excellent results of accuracy, precision, sensitivity (recall), and F1-score. Furthermore, a comparison with recently existing systems is reported.
      PubDate: Mon, 14 Jun 2021 07:08:41 +000
       
  • eHMCOKE: An Enhanced Overlapping Clustering Algorithm for Data Analysis

    • Authors: Alvincent Egonia Danganan; Edjie Malonzo De Los Reyes
      Abstract: Improved Multi-Cluster Overlapping K-means Extension (IMCOKE) algorithm assigns a data object to multiple clusters and is known for its simplicity. Its used of Median Absolute Deviation in detecting outliers in datasets makes the IMCOKE algorithm more effective with regards to overlapping clustering. Nevertheless, analysis of the applied outlier detection procedure positioning was not considered. In this paper, the incorporation of MAD procedure used to detect outliers in the datasets was analyzed. Furthermore, additional parameters such as radius of clusters and distance between clusters are added into the procedures. Evaluation was done through experimentations using synthetic and real datasets. The performance of the eHMCOKE was evaluated via F1-measure criterion, speed and percentage of improvement. Evaluation results revealed that the eHMCOKE takes less time to discover overlap clusters with an improvement rate of 22% and achieved the best performance of 91.5% accuracy rate via F1-measure in identifying overlapping clusters over the IMCOKE algorithm.  This proved that better positioning used of the Median Absolute Deviation as outlier detection and incorporation of radius of clusters and cluster distances were able to significantly improved identification of overlapping clusters.
      PubDate: Mon, 14 Jun 2021 07:00:10 +000
       
  • A Multi Domains Short Message Sentiment Classification using Hybrid Neural
           Network Architecture

    • Authors: Andria Arisal; Devi Munandar, Andri Fachrur Rozie
      Abstract: Sentiment analysis of short texts is challenging because of its limited context of information. It becomes more challenging to be done on limited resource language like Bahasa Indonesia. However, with various deep learning techniques, it can give pretty good accuracy. This paper explores several deep learning methods, such as Multilayer Perceptron (MLP), Convolutional Neural Network (CNN), Long-Short Term Memory (LSTM), and build combinations of those three architectures. The experiments on sentiment analysis of short text in Bahasa Indonesia show that hybrid models can obtain better performance, and the same architecture can be directly used in another domain-specific data set.
      PubDate: Mon, 14 Jun 2021 06:50:21 +000
       
  • Modified Blowfish Algorithm Analysis Using Derivation Cases

    • Authors: Theda Flare Ginoy Quilala; Rogel Ladia Quilala
      Abstract: This study analyzed and enhanced the Modified Blowfish Algorithm encryption. The modification retained the original structure, process and the use of two S-boxes in the Modified Blowfish Algorithm but presented two derivation processes in the f-function which was originally placed to prevent symmetry. The derivation case’s performance was analyzed using avalanche effect and time efficiency. After comparing the first and second derivation process presented in the modified Blowfish, the second derivation further improved the avalanche effect by 5.47%, thus improving security. The performance also showed that the second modification is faster by 39.48% in encryption time, and 38.34% faster in decryption time. The first derivation case in the modified Blowfish was slower in time because of the difference in the placement of the shift rotation. The key generation time was found to be independent of the input size while the encryption and decryption time was found to be directly proportional to file size.  With this, the second modification is considered to be better.
      PubDate: Fri, 21 May 2021 00:00:00 +000
       
  • Improving the optical efficiency of white light-emitting diodes based on
           phosphor-in-glass by a dual-layer remote phosphorus structure with the
           application of LiLaO2:Eu3+ and CaSO4:Ce3+,Mn2+

    • Authors: Nguyen Thi My Hanh; Le Hung Tien
      Abstract: While the remote phosphor structure is not an appropriate solution for WLED color uniformity, it is more advantageous for the luminous output of WLED than the conformal phosphor or in-cup phosphor structure. Acknowledging the ability of the remote phosphor structure, many studies have been carried out to surmount the color quality disadvantage of this structure. A dual-layer remote phosphor configuration is proposed in this research paper to acquire better color quality for WLEDs through heightening the color rendering index (CRI) and the color quality scale (CQS). The color temperature of the WLED packages this study is 8500 K. By inserting a layer of green CaSO4:Ce3+,Mn2+ or red LiLaO2:Eu3+ phosphor on the yellow YAG:Ce3+ phosphor layer, the phosphor structure configuration can be constructed. Then, to get the best color quality, the concentration of added phosphor LiLaO2:Eu3+ would be changed. The findings showed the rise of CRI and CQS along with the LiLaO2:Eu3+, which implies the influence of LiLaO2:Eu3+ to the growth of red light components within WLEDs packages. The greater the concentration of LiLaO2:Eu3+ is, the more the CRI and CQS increase. Meanwhile, the luminous flux gains from the green phosphor CaSO4:Ce3+,Mn2+. Nevertheless, the luminous flux and color quality would decrease if the concentrations of both red LiLaO2:Eu3+ and green CaSO4:Ce3+,Mn2+ phosphors reach a certain corresponding level. Centered on the Mie-scattering theory and the law of Lambert-Beer, this result is illustrated. The findings in this research are vital references for manufacturing WLEDs with higher white light performance.
      PubDate: Thu, 20 May 2021 16:30:07 +000
       
  • Optimal electric distribution network configuration using adaptive
           sunflower optimization

    • Authors: Thuan Thanh Nguyen; Ngoc Thiem Nguyen, Trung Dung Nguyen
      Abstract: Network reconfiguration is one of effective approaches for power loss reduction in the distribution system. This paper presents a method of network reconfiguration using adaptive sunflower optimization (ASFO) to minimize power loss of the distribution system. ASFO is developed based on the original sunflower optimization (SFO) that is inspired from moving of sunflower to the sun. In ASFO, the mechanisms including pollination, survival and mortality mechanisms have been adjusted compared to the original SFO to fit with the network reconfiguration problem. The numerical results on the 14-nodes and 33-nodes systems have shown that ESFO outperforms to SFO for finding the optimal network configuration with greater success rate and better obtained solution quality. The comparison results with other methods in literature also show that ASFO have better performance than other methods in term of optimal network configuration. As a result, ASFO is an effective method for the network reconfiguration.
      PubDate: Thu, 20 May 2021 16:22:57 +000
       
  • Hybrid metaheuristic approach for Robot path planning in Dynamic
           Environment

    • Authors: Lina Basem Ammar; Wesam M. Jasim
      Abstract: Recently robots have gained great attention due to their ability to operate in dynamic and complex environments with moving obstacles. The path planning of a moving robot in a dynamic environment is to find the shortest and safe possible path from the starting point towards the desired target point. A dynamic environment is a robot's environment that consists of some static and moving obstacles. Therefore, this problem can be considered as an optimization problem and thus it is solved via optimization algorithms. In this paper, three approaches for determining the optimal pathway of a robot in a dynamic environment were proposed. These approaches are; the Particle Swarming Optimization PSO, Ant Colony Optimization ACO, and hybrid PSO and ACO. These used to carry out the path planning tasks effectively.  A set of certain constraints must be met simultaneously to achieve the goals; the shortest path, the least time, and free from collisions. The results are calculated for the two algorithms separately and then that of the hybrid algorithm is calculated. The effectiveness and superiority of the hybrid algorithm were verified on both PSO and ACO algorithms.
      PubDate: Thu, 20 May 2021 16:18:25 +000
       
 
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