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All Journal Indonesian Journal of Electrical Engineering and Computer Science
M. H. Harun
Universiti Teknikal Malaysia Melaka

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Prospective study of power generation from natural resources using hybrid system for remote area M. F. Yaakub; F. H. Mohd Noh; M. F. I. Mohd Zali; M. H. Harun
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 2: May 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i2.pp642-647

Abstract

Living in the 21st century, electricity has become a need in every society level. However, numbers of the remote area, especially in third world countries still facing difficulty to reach a grid-connected electricity due to various reasons. As such, this paper presents a prospective study of generating an electrical energy that is converted by utilizing natural resources from the sky. It is realized by implementing a hybrid solar-rainwater harvesting system. Combination of 12Vdc 3Watt solar cells and 3.7 Vdc 129mW pico-hydro implemented in the work has given a great yield reaching average 921 milliwatts of energy produced by the natural resources.
The investigation on defect recognition system using gaussian smoothing and template matching approach M. H. Harun; M. F. Yaakub; A. F. Z. Abidin; A. H. Azahar; M. S. M. Aras; M. B. N. Shah; M. F. M. Basar
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 2: May 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i2.pp812-820

Abstract

This paper investigates various approaches for automated inspection of gluing process using shape-based matching application. A new supervised defect detection approach to detect a class of defects in gluing application is proposed. Creating of region of interest in important region of object is discussed. Gaussian smoothing features is proposed in determining better image processing. Template matching in differentiates between reference and tested image are proposed. This scheme provides high computational savings and results in high defect detection recognition rate. The defects are broadly classified into three classes: 1) gap defect; 2) bumper defect; 3) bubble defect. This system does lessen execution time, yet additionally produce high precision in deformity location rate. It is discovered that the proposed framework can give precision at 95.77% recognition rate in recognizing imperfection for gluing application.
Co-Authors A. F. Z. Abidin A. H. Azahar F. H. Mohd Noh M. B. N. Shah M. F. I. Mohd Zali M. F. M. Basar M. F. Yaakub M. S. M. Aras