W. M. Bukhari - IEEE Xplore Author Profile
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W. M. Bukhari

Publications
4
Citations
5
Publications by Year
20102014
Co-Authors:
Show All Co-Authors (10)
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W. M. Bukhari

Affiliation

Faculty of Electrical Engineering
Universiti Teknikal Malaysia
Melaka, Malaysia

Publication Topics

Biography

Wan Mohd Bukhari Wan Daud join the Department of Control, Instrumentation & Automation at Faculty of Electrical Engineering of Universiti Teknikal Malaysia Melaka as a lecturer in 19 December 2011. Before that he had been at Multimedia University (MMU), Malaysia for 6 months as an assistant lecturer. He finished his postgraduate study in Faculty of Electrical Engineering, Universiti Teknologi Malaysia (UTM), after two years doing research in 2009. His research interests are in biomedical instrument, signal, control and HMI.(Based on document published on 15 May 2014).
Publications
4
Citations
5
Publications by Year
20102014
Co-Authors:
Show All Co-Authors (10)
Author's Published Works

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Autonomous mobile wheelchair powered via EOG signal recognition

W. M. Bukhari;C. Y. Wong;A. B. Yahaya;Z. H. Bohari;M. F. Sulaima;M. H. Jali

2014 IEEE Symposium on Industrial Electronics & Applications (ISIEA)
Year: 2014 | Conference Paper |
Cited by: Papers (2)
The approach of the wheelchair control by using electrooculography (EOG) signal recognition is proposed in this paper. This method allows users to control their wheelchair by using eyes movement. The main objective of this project is to identify the hyperpolarization and depolarization existing between retina and cornea that produce the corneal-retinal potential (CPR). The amplitude of CRP is coll...Show More

Autonomous mobile wheelchair powered via EOG signal recognition

W. M. Bukhari;C. Y. Wong;A. B. Yahaya;Z. H. Bohari;M. F. Sulaima;M. H. Jali

Year: 2014 | Conference Paper |

Comparative study of heuristic algorithm ABC and GA considering VPI for network reconfiguration

M. F. Sulaima;M. F. Mohamad;M. H. Jali;W. M. Bukhari;M. F. Baharom

2014 IEEE 8th International Power Engineering and Optimization Conference (PEOCO2014)
Year: 2014 | Conference Paper |
Cited by: Papers (1)
Distribution Network Reconfiguration (DNR) is an important part of power distribution automotive system. In order to improve the system security as well as minimize the power losses in the system; it can be done by considering a DNR with the superlative optimization method. This paper presents the comparison study of two heuristic methods which are Artificial Bee Colony (ABC) and Genetic Algorithm...Show More

Comparative study of heuristic algorithm ABC and GA considering VPI for network reconfiguration

M. F. Sulaima;M. F. Mohamad;M. H. Jali;W. M. Bukhari;M. F. Baharom

Year: 2014 | Conference Paper |

Wavelet Frequency Energy Distribution of Electrooculogram Potential Towards Vertical and Horizontal Movement

W.M. Bukhari;W. Daud;R. Sudirman;Anwar Al Haddad

2010 Second International Conference on Computational Intelligence, Modelling and Simulation
Year: 2010 | Conference Paper |
Wavelet transform is one of the favoured tool for analyzing the biomedical signals. In this paper, we describe the identification of Electro oculography (EOG) signals of eye movement potentials by using wavelet transform which gives more feature informations than FFT. The capability of wavelet transform is to distribute the signal energy over the change of time in different frequency bands. The EO...Show More

Wavelet Frequency Energy Distribution of Electrooculogram Potential Towards Vertical and Horizontal Movement

W.M. Bukhari;W. Daud;R. Sudirman;Anwar Al Haddad

Year: 2010 | Conference Paper |

A wavelet approach on energy distribution of eye movement potential towards direction

W. M. Bukhari;W. Daud;R. Sudirman

2010 IEEE Symposium on Industrial Electronics and Applications (ISIEA)
Year: 2010 | Conference Paper |
Cited by: Papers (2)
This study presents an investigation in classification of Electrooculography (EOG) signals of eye movement potentials. In recent years, the classification of EOG signals by using the FFT is computationally efficient in means and has been a good considerable in research effort. In the quest to improve the accuracy of the EOG signals classification, a method of time-frequency based analysis is propo...Show More

A wavelet approach on energy distribution of eye movement potential towards direction

W. M. Bukhari;W. Daud;R. Sudirman

Year: 2010 | Conference Paper |

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