Article Per Year (5 Year)
p-Index From 2020 - 2025
0.92
P-Index
This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Bulletin of Electrical Engineering and Informatics Journal of Robotics and Control (JRC) International Journal of Robotics and Control Systems
Desa, Hazry
Unknown Affiliation
Aerospace Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Mechanical Engineering

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Enhancing Multilevel Inverter Performance: A Novel Dung Beetle Optimizer-based Selective Harmonic Elimination Approach Taha, Taha A.; Neamah, Muthanna Ibrahim; Ahmed, Saadaldeen Rashid; Taha, Faris Hassan; Bektaş, Yasin; Desa, Hazry; Yassin, Khalil Farhan; Ibrahim, Marwa; Hashim, Abdulghafor Mohammed
Journal of Robotics and Control (JRC) Vol 5, No 4 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i4.21722

Abstract

This paper introduces a novel approach for enhancing the performance of multilevel inverters by applying a dung beetle optimizer (DBO)-based Selective Harmonic Elimination (SHE) technique. Focusing on a 3-phase multilevel inverter (MLI) with a non-H-bridge structure, the proposed method offers advantages such as cost-effective hardware implementation and eliminating the traditional H-bridge inverter requirement. To assess its efficacy, we compare the presented DBO-based SHE technique (DBOSHE) with Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), evaluating their ability to determine optimal switching angles for achieving low-distorted load voltage. Unlike methods reliant on time-consuming calculations or fixed solutions, DBO provides a flexible approach, considering multiple possibilities to yield accurate switching angles. Using Simulink, harmonic component values and Total Harmonic Distortion (THD) are obtained for each optimization technique, specifically emphasizing on 9-level and 11-level MLI topologies. Our study aims to identify the most effective optimization technique for achieving lower THD and THDe values while eliminating odd-order harmonics from the 3-phase load voltage. Finally, we demonstrate the effectiveness of employing DBO for THD and THDe optimization within the SHE technique.
Implementation of deep neural networks learning on unmanned aerial vehicle based remote-sensing Ahmed, Shouket Abdulrahman; Desa, Hazry; T. Hussain, Abadal-Salam; A. Taha, Taha
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i1.pp941-947

Abstract

Due to efficient and adaptable data collecting, unmanned aerial vehicle (UAV) has been a popular topic in computer vision (CV) and remote sensing (RS) in recent years. Inspiring by the recent success of deep learning (DL), several enhanced object identification and tracking methods have been broadly applied to a variety of UAV-related applications, including environmental monitoring, precision agriculture, and traffic management. In this research, we present efficient neural network (ENet), a unique deep neural network architecture designed exclusively for jobs demanding low latency operation. ENet is up to quicker, takes fewer floating-point operations per second (FLOPs), has fewer parameters, and offers accuracy comparable to or superior to that of previous models. We have tested it on the street and cityscapes reports on comparisons with current state-of-the-art approaches and the tradeoffs between a network's processing speed and accuracy. We give measurements of the proposed architecture's performance on embedded devices and offer software enhancements that might make ENet even quicker.
Definite time over-current protection on transmission line using MATLAB/Simulink Taha, Taha A.; Zaynal, Hussein I.; T. Hussain, Abadal-Salam; Desa, Hazry; Taha, Faris Hassan
Bulletin of Electrical Engineering and Informatics Vol 13, No 2: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i2.5301

Abstract

This paper has investigated the application of the definite time over-current (DTOC) which reacts to protect the breaker from damage during the occurrence of over-current in the transmission lines. After a distance relay, this kind of over-current relay is utilized as backup protection. The overcurrent relay will provide a signal after a predetermined amount of time delay, and the breaker will trip if the distance relay does not detect a line failure. As a result, this over-current relay functions with a time delay that is just slightly longer than the combined working times of the distance relay and the breaker. This DTOC is tested for various types of faults which are 3- phase fault occurring at load 1, 3-phase fault occurring at load 2, a 3-phase fault occurring before primary protection, and the behaviour of voltage and current with a failed primary protection. All the results will be obtained using the MATLAB/Simulink software package.
Selective Harmonic Elimination in Reduced-Switch Multilevel Inverters for PV Systems Using the Sparrow Search Algorithm Baraa, Saif Mohamed; Desa, Hazry; Mohammed, Karar Saeed; Al-Malaisi, Taha Abdulsalam; Hussain, Abadal-Salam Taha; Majdi, Hasan S.
Journal of Robotics and Control (JRC) Vol. 6 No. 1 (2025)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

International Medium voltage and high-power systems use MLIs with low harmonic distortion voltage wave forms in medium voltage systems. Nevertheless, implementation of conventional MLI topologies appears to face various issues such as enhanced system complexity, costs, and conduction losses for specific switching frequencies as well as increased switching frequency leading to impractical solutions in RE systems. Based on the above analysis, this work introduces a three-phase, seven-level RS MLI topology applicable to photovoltaic (PV) systems. The proposed RS MLI has fewer switch devices than a typical topology to achieve cost optimizations without compromising the features of precise topologies. In an attempt to improve on the design of the RS MLI, the Selective Harmonic Elimination (SHE) method is implemented to minimize THD and switching losses. Iterative solutions can be delicate depending on the configuration of the SHE’s and more so for higher level configurations. Thus, for solving the problem the Sparrow Search Algorithm (SSA), is developed to serve as the new optimization method. SSA is thus compared with Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) using MATLAB/SIMULINK simulations with modulation indices of 0.1, 0.5 and 1.0. It is established from the result that proposed strategic swarm approach (SSA) yields better accuracy, fast convergence speed and improves the THD of the system compared to GA and PSO. However, there is still the question of computational complexity, which seems to entail studying the RS MLI in different conditions as an open problem for future work. The innovation made by this work can help to enhance RS MLI designs to better feasible for use in renewable energy systems.
Investigation and Design of High Efficiency Quadrature Power Amplifier for 5G Applications Taha, Faris Hassan; Hussein, Shamil H.; Yaseen, Mohammed T.; Fadhil, Hilal A.; Assi, Saad A.; Desa, Hazry; Imran, Ahmed Imad; Radhi, Ahmed Dheyaa; Almulaisi, Taha
International Journal of Robotics and Control Systems Vol 5, No 2 (2025)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v5i2.1881

Abstract

The rapid rise of the high data rate requirements in modern wireless communications, which include Wi-Fi, LTE, and 5G, demands that appropriate linear and efficient transmitter architecture gets designed. The increased power amplifier (PA) efficiency in the output power back-off (OPBO) is one of the major challenges because it is difficult to achieve PA power efficiency and linearity at the same time. The current study provides design and simulation of a Quadrature Power Amplifier (QPA) for application in 5G in the 5.8 GHz band using 120nm CMOS technology. The proposed QPA system combines Envelope Elimination and Restoration (EER) technique with direct I and Q signal modulation, quite a different solution from the “conventional” approaches of EER and represents very a bandwidth efficient one. Hard-switching drivers as well as the optimized matching networks are used by the system to ensure that there is high power transfer capability and low distortion. In the design process the source impedance is optimized using a source pull simulation and the load impedance is optimized by using a load pull simulation; then, the L-type network is designed to realize optimal matching. For use in implementation, the Rogers RO-5880 material is applied using transmission lines set up through the microstrip techniques in a bid to reduce the losses and parasitic ones. Simulation results show that the QPA obtains a peak output power of 24.35dBm and a power-added efficiency (PAE) of 70% at 5.8 GHz. The best input and output impedances were:  and , respectively. In addition, the envelope and transient simulations prove high-accuracy signal transmission and clean switching quality. This QPA design offers a power-efficient solution with better performance characteristics that makes it an attractive candidate for the future 5G communication systems that are to operate in the 5.8 GHz frequency band.
Co-Authors A. Taha, Taha Ahmed, Saadaldeen Rashid Ahmed, Shouket Abdulrahman Al-Malaisi, Taha Abdulsalam Almulaisi, Taha Assi, Saad A. Baraa, Saif Mohamed BEKTAS, YASIN Fadhil, Hilal A. Hashim, Abdulghafor Mohammed Hussain, Abadal-Salam Taha Hussein, Shamil H. Ibrahim, Marwa Imran, Ahmed Imad Majdi, Hasan S. Mohammed, Karar Saeed Neamah, Muthanna Ibrahim Radhi, Ahmed Dheyaa T. Hussain, Abadal-Salam Taha, Faris Hassan Taha, Taha A. Yaseen, Mohammed T. Yassin, Khalil Farhan Zaynal, Hussein I.