Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering Mechatronics, Electrical Power, and Vehicular Technology
Ahmad, Suziana
Unknown Affiliation
Computer Science & IT Electrical & Electronics Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Preliminary study of 50 W Class-E GaN FET amplifier for 6.78 MHz capacitive wireless power transfer Muharam, Aam; Mostafa, Tarek Mahmoud; Ahmad, Suziana; Masuda, Mitsuru; Obara, Daiki; Hattori, Reiji; Hapid, Abdul
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 11, No 1 (2020)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2020.v11.22-29

Abstract

A preliminary study of Class-E radio frequency power amplifier for wireless capacitive power transfer (CPT) system is presented in this paper. Due to a limitation in coupling capacitance value, a high frequency operation of switching power inverter is necessary for the CPT system. A GaN MOSFET offers reliability and performance in a high frequency operation with an improved efficiency over a silicon device. Design specification related to the parallel load parameter, LC impedance matching and experimental analysis of the amplifier is explored. An experimental setup for the proposed inverter and its integration with the CPT system is provided, and the power efficiency is investigated. As a result, by utilizing a 6.78 MHz resonant frequency and a 50 Ω resistive load, 50 W of power has been transmitted successfully with an end to end system efficiency over 81 %. Additionally, above 17 W wireless power transfer was demonstrated successfully in the CPT system under 6 pF coupling with the efficiency over 70 %.
Solar powered internet of things-based heart rate monitoring system employing electrocardiogram signal analysis Ahmad, Suziana; Aina, Ahmad Alif Ahmad; Marwan, Shahrul Hisyam; Hashim, Rosziana; Shari, Nurul Syuhada
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 6: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i6.pp5942-5953

Abstract

Electrocardiogram (ECG) test is used to record the electrical activity of a human heart for determining any problems with irregular heartbeat patterns and other cardiovascular conditions. This project deals with the implementation of an Internet of things (IoT) enabled ECG monitoring system with solar supply that can identify heart rate deviations from normal values (40 BPM, 80 BPM and 120 BMP) utilizing simulated ECG signals. The ECG data acquisition is done by using KL-76001 biomedical measurement training system, KL-75001 ECG module and multiparameter simulator MS400. The acquired ECG signals are processed through Python software to detect R-peaks and R-R interval. The counts of these R-R peaks are utilized in conjunction with the Blynk IoT platform, employing an ESP8266 module for monitoring via a mobile application and LCD display. The system was tested for detecting and monitoring three heart conditions which are bradycardia, normal, and tachycardia and successfully demonstrated alert capabilities for these conditions.
Co-Authors Aam Muharam Aina, Ahmad Alif Ahmad Hashim, Rosziana Hattori, Reiji Jamhari Jamhari Marwan, Shahrul Hisyam Masuda, Mitsuru Mostafa, Tarek Mahmoud Obara, Daiki Shari, Nurul Syuhada