Asian Journal of Electrical and Electronic Engineering

Editorial & TOC

AHM Zahirul Alam — Mon, 03 Oct 2022 00:00:00 +0800

CHIEF EDITOR

Prof. Dr. AHM Zahirul Alam, IIUM, Malaysia

EXECUTIVE EDITOR

Assoc. Prof. Dr. Muhammad Mahbubur Rashid, IIUM, Malaysia

EDITORIAL BOARD MEMBERS

Prof. Dr. Sheroz Khan
Onaizah College of Engineering and Information Technology
Saudi Arab

Prof. Dr. AHM Asadul Huq
Department of Electrical and Electronic Engineering
Dhaka University, Bangladesh

Prof. Dr. Pran Kanai Shaha
Department of Electrical and Electronic Engineering
Bangladesh University of Engineering and Technology, Bangladesh

Assoc. Prof. Dr. SMA Motakabber
Faculty of Engineering
International Islamic University Malaysia, Malaysia

Prof. Dr. ABM Harun Ur Rashid
Department of Electrical and Electronic Engineering
Bangladesh University of Engineering and Technology, Bangladesh

Prof. Dr. Joarder Kamruzzaman
Engineering and Information Technology
Federal University, Australia

Assoc. Prof. Dr. Md Arafatur Rahman
Faculty of Computing
Universiti Malaysia Pahang

Aims & Scope of Asian Journal of Electrical and Electronic Engineering

The Asian Journal of Electrical and Electronic Engineering (AJoEEE), published biannually (March and September), is a peer-reviewed open-access journal of the AlamBiblio Press.

The Asian Journal of Electrical and Electronic Engineering (AJoEEE) publishes original research findings as regular papers and review papers (by invitation). The Journal provides a platform for Engineers, Researchers, Academicians, and Practitioners who are highly motivated to contribute to the Electrical and Electronics Engineering disciplines. It also welcomes contributions that address the developing world's specific challenges and address science and technology issues from a multidisciplinary perspective.

Referees' Network

All papers submitted to AJoEEE Journal will be subjected to a rigorous reviewing process through a worldwide network of specialized and competent referees. Each accepted paper should have at least two positive referees' assessments.

Submission of a Manuscript

A manuscript should be submitted online to the Asian Journal of Electrical and Electronic Engineering (AJoEEE) website https://journals.alambiblio.com/ojs/index.php/ajoeee/. Further correspondence on the status of the paper could be done through the journal website.

A New Topology of High-Efficiency DC-DC Hybrid Boost SEPIC Converter for PV Cell

Khadiza Akter, S. M. A. Motakabber, AHM Zahirul Alam, Siti Hajar Yusoff — Mon, 03 Oct 2022 00:00:00 +0800

This paper initiates a high-gain high efficiency step-up DC-DC converter based on Boost SEPIC (Single Ended Primary Inductor Converter) hybrid topology for photovoltaic application. Customarily DC-DC converter circuit is a widely used technique to improve the voltage level of solar cells. However, for low output voltage and low efficiency, they are not sufficient enough to provide expected outcomes. To defeat the conventional system a hybrid Boost SEPIC topology has been recommended with enhanced performance. The proposed design of the DC-DC converter circuit can provide a high voltage gain without decaying its overall performance. The modified converter topology is being worked by a single switch with low switching voltage stress over the semiconductor devices. The main edge of the proposed design is that it can perform efficiently without using any transformer, the combined design of Boost SEPIC topology increases the voltage gain much higher compared to the conventional Boost or SEPIC. The maximum Power Point Tracking (MPPT) algorithm is used to obtain maximum power from a photovoltaic source. MATLAB Simulink and PSIM software has analyzed the performance of the newly designed converter circuit thoroughly.

Video-Based Vehicle Counting and Analysis using YOLOv5 and DeepSORT with Deployment on Jetson Nano

Abuelgasim Saadeldin Mansour Mohamed Mansour Mohamed, Muhammad Mahbubur Rashid — Mon, 03 Oct 2022 00:00:00 +0800

In recent years, the advancements in deep learning and high-performance edge-computing systems have increased tremendously and have become the center of attention when it comes to the analysis of video-based systems on edge by making use of computer vision techniques. Intelligent Transportation Systems (ITS) is one area where deep learning can be used for several tasks including highway-based vehicle counting systems whereby making use of computer vision techniques, an edge computing device and cameras installed in specific locations on the road, we are able to obtain very accurate vehicle counting results and replace the use of traditional and laborious hardware devices with modern low-cost solutions. This paper proposes and implements a modern, compact, and reliable vehicle counting system based on the most recent and popular object detection algorithm as of writing this paper, known as the YOLOv5, combined with a state-of-the-art object tracking algorithm known as DeepSORT. The YOLOv5 will be used in the following system to detect and classify four different classes of vehicles, whereas DeepSORT will be used to track those vehicles across different frames in the video sequence. Finally, a unique and efficient vehicle counting method will be implemented and used to count tracked vehicles across the highway scenes. A new highway vehicle dataset consisting of four vehicle classes, namely: car, motorcycle, bus, and truck, was collected, cleaned, and annotated with a total of 11,982 images published in the following study and used for the training of our robust vehicle detection model. From the results obtained over real-world highway surveillance videos, the following system was able to obtain an average vehicle detection mAP score of 96.1% and a vehicle counting accuracy of 95.39%, all while being able to be deployed on a compact Nvidia Jetson Nano edge-computing device with an average speed of 15 FPS which outperforms other previously proposed tools in terms of both accuracy and speed.

Performance Analysis of a Hybrid Free Space Optics/ Visible Light Communication Systems

Siti Hajar Ab Aziz, Norhanis Aida Binti Mohd Nor, Mohd Shahnan Bin Zainal Abidin — Mon, 03 Oct 2022 00:00:00 +0800

A hybrid free space optical (FSO)/visible light communication (VLC) system is a remarkable wireless technology for overcoming the last mile gap and for future broadband wireless communication. In detail, this research examines the hybrid FSO/VLC system performance using Optisystem 19 software. The system performance of the wireless hybrid FSO/VLC is evaluated using the bit error rate, quality factor, and eye diagram for weak and strong turbulence regimes referring to the Gamma-Gamma atmospheric turbulence channel. At BER of the maximum attainable distances are 1.3 km and 1.8 km for 0 dBm and 5 dBm transmitted power in clear weather, respectively. However, when the transmit power reduces to -5 dBm, the measured BER drops to 8×10^-3 with a distance of 1 km link range. Moreover, when the power increases from 0 dBm to 5 dBm, the distance of the connection between Tx and Rx can be extended from 1.1 km and 1.9 km under weak turbulence conditions at the target BER of 10^-9. In contrast, at the same target of BER, only 5 dBm of transmitted power managed to capture the signal at a distance of 1.7 km for strong turbulence conditions. This result can be the benchmark research to investigate and identify the best strategies for validating future experimentation difficulties.

Analysis and Optimization of Fuzzy Logic Based MPPT for Grid Connected Photovoltaic System

Ahmad Mmzr Alazmi, Syed Munimus Salam, Muhammad Mahbubur Rashid — Mon, 03 Oct 2022 00:00:00 +0800

Solar is one of the most important renewable energy sources that consistently operates with clean, sustainable, and ecologically beneficial operations in the photovoltaic power producing station. Additionally, due to the nature of photovoltaic power, the fluctuating trend in PV system output energy reduces their dependability in terms of supplying consumers with uninterrupted energy. A significant benefit of photovoltaic (PV) structures is their capacity to harness the immense and unpredictable power of the sun. Strong sunlight environments have accelerated PV science, which is now present in high-efficiency regions and regions with frequent cloud cover. A modeling approach for renewable grid-connected microgrids is presented in this research. Under gloomy or foggy situations, the long rambling factor makes up the majority of solar insolation. This work simulates a PV system using MATLAB and uses a fuzzy method to monitor the component that consumes the most energy. The findings of the fuzzy Logic version were improved for validation, and they were also contrasted with those from other methods like perturb and observe (P&O) and proportional integral differential (PID).

Performance Analysis of a Newly Designed DC to DC Buck-Boost Converter

Mohammad Iftekher Uddin, Kazi Samira Shamsi Huq, S M Salam — Mon, 03 Oct 2022 00:00:00 +0800

Most of the electronic devices operate on the principle of the voltage-controlled voltage source. With the improved technology and an increase in circuit complexity, the necessity of controlling the output voltage level irrespective of the change in the load current or line voltage is increasing at a tremendous rate. Moreover, battery dominated electronic devices and gadgets demand a wide range of variation and control over DC voltage and power, which currently faces many challenges. This study proposes a design of a DC to DC Buck-Boost converter and analyzes the converter's performance by placing the Pulse Width Modulation of 40% and 48% duty cycles for buck-mode and 66% and 100% for boost-mode in the switching circuit. The result is simulated in the Proteus Suite software.