Ili Najaa Aimi Mohd Nordin
Universiti Tun Hussein Onn Malaysia

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Automated conveyor system for football quality checking Muhammad Rusydi Muhammad Razif; S. A. H. J. Norazuan; Ili Najaa Aimi Mohd Nordin; Hairulazwan Hashim
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp216-221

Abstract

Many incidents happen in football matches such as injury, fight between team and ball out of game as whistle is blow. The worst case is where the ball exploded as the ball kick simultaneously from two opposite directions. To reduce problem in football matches and ensure the quality of the football match specification, this project is proposed a conveyor system for football quality checking, focusing on the ball size and weight measurement. In the conveyor system, a conveyor belt is introduced as a medium for conveying the ball, sensors to check the football specification and microcontroller to read the sensor input and produce output in term of motor control and measurement display. The conveyor system is made for checking the FIFA standard ball specification and it was built portably for easily carry and used in sport shop. The system could operate automatically, thus reducing to the need for worker. This project is expected to reduce injury in football match and also ensure the quality of the ball is guaranteed. For a standard football size measurement, the ball weight shows almost similar to the standard specification with 20g differences.
Modeling of a planar SOFC performances using artificial neural network N. A. Zambri; Norhafiz Salim; A. Mohamed; Ili Najaa Aimi Mohd Nordin
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i3.pp1645-1652

Abstract

The Planar Solid Oxide Fuel Cell (PSOFC) is one of the renewable energy technologies that is important as the main source for distributed generation and can play a significant role in the conventional electrical power generation. PSOFC stack modeling is performed in order to provide a platform for the optimal design of fuel cell systems. It is explained by the structure and operating principle of the PSOFC for the modeling purposes. PSOFC model can be developed using Artificial Neural Network approach. The data required to train the neural net-work model is generated by simulating the existing PSOFC model in the MATLAB/ Simulink software. The Radial Basis Function (RBF) and Multilayer Perceptron (MLP) neural networks are the most useful techniques in many applications and will be applied in developing the PSOFC model. A detailed analysis is presented on the best ANN network that gives the greatest results on the performances of the PSOFC. The simulation results show that Multilayer Perceptron (MLP) gives the best outcomes of the PSOFC performance based on the smallest errors and good regression analysis.
Optimization of RF signal detection and alert system for restricted area Ili Najaa Aimi Mohd Nordin; Najla Aiman Nazari; Muhammad Rusydi Muhammad Razif; Nurulaqilla Khamis; Noraishikin Zulkarnain; Farkhana Muchtar; Nor Aira Zambri
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp325-332

Abstract

This paper presents study on optimizing RF signal detection and alert system for restricted area. Nowadays, mobile phone utilization is very common among youngsters. Despite of being very useful for educational purpose, it turns into a noteworthy issue while being smuggled into restricted area, such as examination hall and used as a cheating tool. To overcome this problem, an advancement on the detection and alert system of active mobile phone was proposed by implementing RF signal detection system optimization using multi-band dipole antenna and alert system utilizing LED and camera. The system demonstrated higher sensitivity to 3G signal followed by GSM and Wi-Fi with the decrease in voltage value across the LED when distinguishing 3G, GSM and Wi-Fi signal with the estimation of 2.316 V, 1.162 V and 1.054 V respectively. The alert system was improved by activating LED and camera instead of buzzer in displaying the region of the active mobile phone. The camera was able to effectively capture the conceivable cheating area when active mobile phone is present. The images of the potential cheating region can be recovered from the computer. This framework can assist the invigilators with being cautioned to the potential regions of cheating using mobile phone.
Development of solar panel cleaning robot using Arduino Faridah Hanim Binti Mohd Noh; Muhamad Faizal Yaakub; Ili Najaa Aimi Mohd Nordin; Norain Sahari; Nor Aira Zambri; Sim Sy Yi; Muhammad Syukri Mohd Saibon
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 3: September 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i3.pp1245-1250

Abstract

Solar power is mainly harnessed from photovoltaic (PV) panels which are arranged in multiple arrays in a solar farm or solar system. Though, power generation from PV solar system is characterised by uncertain efficiency, many countries with high insolation prefer solar as an alternative way of generating clean energy. However, the efficiency of energy generated from PV panels is affected by the accumulation of dust and debris, even on one panel in an array. This condition leads to the need for regular cleaning of the surface of PV panels. Current labour-based cleaning methods for photovoltaic arrays are costly in time, water and energy usage as well as lacking in automation capabilities. To overcome this problem, a fully automatic solar panel cleaning system with/without water is proposed. Hence, in this paper, the design of a robot for automated cleaning of the surface of PV panel is presented. The design utilizes an Arduino controller system to control the robot movement during the cleaning process. In addition, it is equipped with two rough sponge and a water pump system that can be used to clean dust or debris found on PV panel surfaces. The efficiency of the PV panels before and after the cleaning process is also observed. The result shows that the developed solar panel cleaning robot is able to clean the panel effectively and increase back the output current as well as the maximum power of the panel by 50%, after the dust on the PV panel is cleaned.
Two-chambers soft actuator bending and rotational properties for underwater application Muhammad Rusydi Muhammad Razif; Ahmad Athif Faudzi; Ili Najaa Aimi Mohd Nordin; Tariq Rehman; Dyah Ekashanti Octorina Dewi
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 2: November 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i2.pp669-677

Abstract

This paper presents a study on bending and rotational properties of two-chambers soft actuator for underwater application. Previous study demonstrated the actuator characteristics required to optimize the bending performance and its potential to perform underwater because of the actuator material. However, there is less study of the actuator performance underwater as well as how the actuator tips rotating during actuator bending motion. In this paper, three tests have been proposed which are comparisons of bending angle simulation and experiment in air environment, bending angle performance in air and underwater environment as well as rotational angle of actuator tip in air environment. The bending angle of soft actuator is measured based on displacement in horizontal and vertical axis and for rotational angle, gyro sensor has been used. Based on the analysis, it is proven that the fabricated soft actuator performs almost similar trend to the simulation. It is also demonstrated that the actuator performs almost double bending motion underwater environment compared to in air environment at the same pressure, and the actuator is able to rotate 90ยบ in air environment with the supplied pressure 52 kPa.