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All Journal Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science
R. Badlishah Ahmad
Universiti Sultan Zainal Abidin (UniSZA)
Computer Science & IT Electrical & Electronics Engineering Engineering

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Journal : Bulletin of Electrical Engineering and Informatics

 1 
Routing performance of structured overlay in Distributed Hash Tables (DHT) for P2P Rafiza Ruslan; Ayu Shaqirra Mohd Zailani; Nurul Hidayah Mohd Zukri; Nur Khairani Kamarudin; Shamsul Jamel Elias; R. Badlishah Ahmad
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 (449.88 KB) | DOI: 10.11591/eei.v8i2.1449

Abstract

This paper presents a routing performance analysis of structured P2P overlay network. Due to the rapid development and hectic life, sharing data wirelessly is essential. P2P allows participating peers move freely by joining and leaving the network at any convenience time. Therefore, it exists constraint when one measuring the network performance. Moreover, the design of structured overlay networks is fragmented and with various design. P2P networks need to have a reliable routing protocol. In order to analyse the routing performance, this work simulates three structured overlay protocols-Chord, Pastry and Kademlia using OMNeT++ with INET and OverSim module. The result shows that Pastry is the best among others with 100% routing efficiency. However, Kademlia leads with 12.76% and 18.78% better than Chord and Pastry in lookup hop count and lookup success latency respectively. Hence, Pastry and Kamelia architectures will have a better choice for implementing structured overlay P2P network.
Face recognition attendance system using Local Binary Pattern (LBP) Shamsul J. Elias; Shahirah Mohamed Hatim; Nur Anisah Hassan; Lily Marlia Abd Latif; R. Badlishah Ahmad; Mohamad Yusof Darus; Ahmad Zambri Shahuddin
Bulletin of Electrical Engineering and Informatics Vol 8, No 1: March 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (340.709 KB) | DOI: 10.11591/eei.v8i1.1439

Abstract

Attendance is important for university students. However, generic way of taking attendance in universities may include various problems. Hence, a face recognition system for attendance taking is one way to combat the problem. This paper will present an automated system that will automatically saves student’s attendance into the database using face recognition method. The paper will elaborate on student attendance system, image processing, face detection and face recognition. The face detection part will be done by using viola-jones algorithm method while the face recognition part will be carried on by using local binary pattern (LBP) method. The system will ensure that the attendance taking process will be faster and more accurate.
Co-Authors Adam Wong Yoon Khang Ahmad Zambri Shahuddin Amiza Amir Ayu Shaqirra Mohd Zailani Jamaluddin Jasmis Lily Marlia Abd Latif M. Najib M. Yasin Md Rabiul Awal Mohamad Yusof Darus Mohamad Yusof Darus Mohamed Elshaikh Elobaid Mohd Hafizuddin Mat Muzammil Jusoh Naimah Yaakob Nik Adilah Hanin Zahri Nur Anisah Hassan Nur Khairani Kamarudin Nur Liyana Izzati Rusli Nurul Hidayah Mohd Zukri Rafiza Ruslan Shahirah Mohamed Hatim Shahirah Mohamed Hatim Shamsul J. Elias Shamsul Jamel Elias Shamsul Jamel Elias Shapina Abdullah Siti Asilah Yah Thennarasan Sabapathy Wan Aida Nadia Wan Abdullah