Article Per Year (5 Year)
p-Index From 2021 - 2026
0
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science
Othman O. Khalifa
International Islamic University Malaysia
Computer Science & IT Electrical & Electronics Engineering Engineering

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Bulletin of Electrical Engineering and Informatics

 1 
Principal component analysis for human gait recognition system Othman O. Khalifa; Bilal Jawed; Sharif Shah Newaj Bhuiyn
Bulletin of Electrical Engineering and Informatics Vol 8, No 2: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (362.338 KB) | DOI: 10.11591/eei.v8i2.1493

Abstract

This paper represents a method for Human Recognition system using Principal Component Analysis. Human Gait recognition works on the gait of walking subjects to identify people without them knowing or without their permission. The initial step in this kind of system is to generate silhouette frames of walking human. A number of features couldb be exytacted from these frames such as centriod ratio, heifht, width and orientation. The Principal Component Analysis (PCA) is used for the extracted features to condense the information and produces the main components that can represent the gait sequences for each waiking human. In the testing phase, the generated gait sequences are recognized by using a minimum distance classifier based on eluclidean distance matched with the one that already exist in the database used to identify walking subject.
Efficient 3D stereo vision stabilization for multi-camera viewpoints Sharif Shah Newaj Bhuiyan; Othman O. Khalifa
Bulletin of Electrical Engineering and Informatics Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (771.478 KB) | DOI: 10.11591/eei.v8i3.1518

Abstract

In this paper, an algorithm is developed in 3D Stereo vision to improve image stabilization process for multi-camera viewpoints. Finding accurate unique matching key-points using Harris Laplace corner detection method for different photometric changes and geometric transformation in images. Then improved the connectivity of correct matching pairs by minimizing the global error using spanning tree algorithm. Tree algorithm helps to stabilize randomly positioned camera viewpoints in linear order. The unique matching key-points will be calculated only once with our method. Then calculated planar transformation will be applied for real time video rendering. The proposed algorithm can process more than 200 camera viewpoints within two seconds.
Improved voice quality with the combination of transport layer & audio codec for wireless devices Othman O. Khalifa; Raihan Jannati Binti Roslin; Sharif Shah Newaj Bhuiyan
Bulletin of Electrical Engineering and Informatics Vol 8, No 2: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (619.815 KB) | DOI: 10.11591/eei.v8i2.1490

Abstract

Improving voice quality over wireless communication becomes a demanding feature for social media apps like facebook, whatsapp and other communication channels. Voice-over-internet protocol (VoIP) helps us to make quick telephone calls over the internet. It includes various mechanism which are signaling, controlling and transport layer. Over wireless links, packet loss and high transmission delay damage voice quality. Here VoIP quality will be measured by three main elements which are signaling protocol, audio codec and transport layer. To improve the overall voice quality, we need to combine these three elements properly to get the best score. Otherwise perceptual speech quality will not be the right tool to measure the voice quality. Here we will use Mean Opinion Score (MOS) for calculated jitter values and end to end delay. At the end, best combination of audio codec and signaling protocol produced the quality speech.
Co-Authors Abdulrahman Moffaq Alawad Aisha Hassan A. Hashim Amart Sulong Bilal Jawed Dimitris Agrafiotis Eliathamby Ambikairajah Fan Zhang Farah Diyana Abdul Rahman Farhat Anwar Fawwaz Eniola Fajingbesi Mira Kartiwi Norun Abdul Malek Raihan Jannati Binti Roslin Rashidah Funke Olanrewaju Sharif Shah Newaj Bhuiyan Sharif Shah Newaj Bhuiyn Shihab A. Hameed Teddy Surya Gunawan Thouhedul Islam Zainab S. Mahmod