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All Journal Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Indonesian Journal of Electrical Engineering and Computer Science
Hazrul Mohamed Basri
Universiti Malaysia Sarawak
Computer Science & IT Electrical & Electronics Engineering

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SAR distribution of non-invasive hyperthermia with microstrip applicators on different breast cancer stages Wong Vei Ling; Kasumawati Lias; Norlida Buniyamin; Hazrul Mohamed Basri; Mohammad Zulkaranen Ahmad Narihan
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 1: April 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i1.pp232-240

Abstract

This paper presents the microstrip antenna with different applied frequencies used as a non-invasive hyperthermia applicator. This non-invasive hyperthermia applicator is introduced to clarify the sufficient heat distribution on the treated tissue for different breast cancer stages. 57 mammogram breast cancer images from early-stage to stage-3 are analyzed to obtain the required penetration depth and focus position distance. Then, the simulation-based experiment is carried out to observe the heating distribution on different stages of cancer with two different operating frequencies; 915MHz and 2450MHz. Also included in this paper is the prediction on the period for hyperthermia treatment planning execution. Based on the results, various penetration depths are obtained when different operating frequencies are applied. 915MHz antenna showed better results when compared to 2450MHz, where microstrip applicator with 915MHz is able to heat cancer at stage-1, stage-2, and stage-3 with good penetration depth and focus position distance, while 2450MHz only performed well in early-stage cancer. Meanwhile, different stages require various periods of time. From the results, the shortest period for hyperthermia execution simulated in the early-stage and then followed by stage-3, stage-2, and the longest period is in stage-1.
Predictive-TOPSIS-based MPPT for PEMFC Featuring Switching Frequency Reduction Jye Yun Fam; Shen Yuong Wong; Mohammad Omar Abdullah; Kasumawati Lias; Saad Mekhilef; Hazrul Mohamed Basri
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 11, No 3: September 2023
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v11i3.4350

Abstract

A maximum power point tracking (MPPT) for a proton exchange membrane fuel cell (PEMFC) using a combination of conventional finite control set model predictive control (FCS-MPC) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is proposed in this paper. The key idea is to maximize the power generation from a PEMFC while minimizing the switching frequency of the power converter. The FCS-MPC technique is formulated to track the maximum power of PEMFC highly affected by ever-changing internal parameters. Meanwhile, the TOPSIS algorithm is applied to overcome the potential weaknesses of insulated-gate bipolar transistor (IGBT), which can only withstand a lower switching frequency. In this project, all simulations were run using MATLAB software to display the output power of the PEMFC system. As a result, the proposed predictive-TOPSIS-based MPPT algorithm can track the MPP for various PEMFC parameters within 0.019 s with an excellent accuracy up to 99.11%. The proposed MPPT technique has fast-tracking of the MPP locus, excellent accuracy, and robustness to environmental changes.
Dual axis solar tracker and monitoring system based on internet of things Yonis M. Yonis Buswig; Shanti Faridah Salleh; Al-Khalid Othman; Norhuzaimin Julai; Azuka Affam; Lennevey Kinidi; Hazrul Mohamed Basri; Kasumawati Lias
Bulletin of Electrical Engineering and Informatics Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i1.9698

Abstract

In this paper, the application of internet of things (IoT) technology in development of a dual-axis solar tracking system is presented. Sting capacity of piezoelectric material is applied a footstep energy generation system. Using Arduino MEGA as the main controller for the system, light-dependent resistors (LDRs) have been used for sunlight detection and maximum light intensity. Two servo motors have been employed to rotate the solar panel towards the position of the sun as detected by the LDR. Ethernet Shield is used as an intermediary between the hardware device and the IoT monitoring system through the Cayenne platform. Alert notifications are included to inform a remote user through phone or mail (or both) when a sensor has reached a certain predefined event. There is a 21.97 increased energy output buy the proposed system as compared to the single-axis solar tracker. Further test results of the manufactured prototype indicate that solar tracker data can be transmitted simply and monitored directly online, and the solar tracker is capable of receiving commands from the IoT monitoring application.
Co-Authors Al-Khalid Othman Azuka Affam Jye Yun Fam Kasumawati Lias Lennevey Kinidi Mohammad Omar Abdullah Mohammad Zulkaranen Ahmad Narihan Norhuzaimin Julai Norlida Buniyamin Saad Mekhilef Shanti Faridah Salleh Shen Yuong Wong Wong Vei Ling Yonis M. Yonis Buswig