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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) Indonesian Journal of Electrical Engineering and Computer Science
Muhamad Faizal Yaakub
Universiti Teknikal Malaysia Melaka
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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An analysis of energy saving through delamping method Mohd Firdaus Mohd Ab Halim; Muhamad Faizal Yaakub; Mohamad Haniff Harun; Khalil Azha Mohd Annuar; Farriz Hj Md Basar; Mohd Nazri Omar
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (942.455 KB) | DOI: 10.11591/ijece.v9i3.pp1569-1575

Abstract

Electrical energy consumption is one of the focus areas in Green and Sustainable technology in the 21st century. Many energy consultants offers services to reduce the electricity consumption to the commercial consumer. Many proposals are focusing on selling their energy management system product which cost a lot of initial investment. The problem of applying energy management system is that the building needs major renovation. In this paper, electricity consumption is reduced through delamping method. The delamping is strategizing based on energy efficiency audit. This technique complies with the ASHRAE international standard for office building. The number of light reduced and electricity consumption from this exercise can translate into reduction of maintenance and electricity bill. The comparison of payback period for various energy saving techniques were discussed as well.
Silicon carbide power device characteristics, applications and challenges: an overview Muhamad Faizal Yaakub; Mohd Amran Mohd Radzi; Faridah Hanim Mohd Noh; Maaspaliza Azri
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 11, No 4: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v11.i4.pp2194-2202

Abstract

Silicon (Si) based power devices have been employed in most high power applications since decades ago. However, nowadays, most major applications demand higher efficiency and power density due to various reasons. The previously well-known Si devices, unfortunately, have reached their performance limitation to cover all those requirements. Therefore, Silicon Carbide (SiC) with its unique and astonishing characteristic has gained huge attention, particularly in the power electronics field. Comparing both, SiC presents a remarkable ability to enhance overall system performance and the transition from Si to SiC is crucial. With regard to its importance, this paper provides an overview of the characteristics, advantages, and outstanding capabilities in various application for SiC devices. Furthermore, it is also important to disclose the system design challenges, which are discussed at the end of the paper.
Automated brain tumor segmentation and classification for MRI analysis system Norhashimah Mohd Saad; Muhamad Faizal Yaakub; Abdul Rahim Abdullah; Nor Shahirah Mohd Noor; Nur Azmina Zainal; Wira Hidayat Mohd Saad
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.pp1337-1344

Abstract

This paper proposed a new analysis technique of brain tumor segmentation and classification for Fluid Attenuated Inversion Recovery (FLAIR) Magnetic Resonance Images (MRI). 25 FLAIR MRI images were collected from online database of Multimodal Brain Tumor Segmentation Challenge 2015 (BRaTS’15).  The analysis comprised four stages which are preprocessing, segmentation, feature extraction and classification. Fuzzy C-Means (FCM) was proposed for brain tumor segmentation. Mean, median, mode, standard deviation, area and perimeter were calculated and utilized as the features to be fed into a rule-based classifier. The segmentation performances were assessed based on Jaccard, Dice, False Positive and False Negative Rates (FPR and FNR). The results indicate that FCM offered high similarity indices which were 0.74 and 0.83 for Jaccard and Dice indices, respectively. The technique can possibly provide high accuracy and has the potential to detect and classify brain tumor from FLAIR MRI database.
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.
Co-Authors Abdul Rahim Abdullah Faridah Hanim Binti Mohd Noh Faridah Hanim Mohd Noh Farriz Hj Md Basar Ili Najaa Aimi Mohd Nordin Khalil Azha Mohd Annuar Maaspaliza Azri Mohamad Haniff Harun Mohd Amran Mohd Radzi Mohd Firdaus Mohd Ab Halim Mohd Nazri Omar Muhammad Syukri Mohd Saibon Nor Aira Zambri Nor Shahirah Mohd Noor Norain Sahari Norhashimah Mohd Saad Nur Azmina Zainal Sim Sy Yi Wira Hidayat Mohd Saad