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Irraivan Elamvazuthi
Researcher at Universiti Teknologi Petronas
Publications - 251
Citations - 4162
Irraivan Elamvazuthi is an academic researcher from Universiti Teknologi Petronas. The author has contributed to research in topics: Fuzzy logic & Computer science. The author has an hindex of 25, co-authored 229 publications receiving 3290 citations. Previous affiliations of Irraivan Elamvazuthi include Petronas & Universiti Teknologi Malaysia.
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Voice Recognition Algorithms using Mel Frequency Cepstral Coefficient (MFCC) and Dynamic Time Warping (DTW) Techniques
TL;DR: This paper presents the viability of MFCC to extract features and DTW to compare the test patterns and explains why the alignment is important to produce the better performance.
Journal ArticleDOI
A review on optimized control systems for building energy and comfort management of smart sustainable buildings
Pervez Hameed Shaikh,Nursyarizal Mohd Nor,Perumal Nallagownden,Irraivan Elamvazuthi,Taib Ibrahim +4 more
TL;DR: In this article, the authors present a comprehensive and significant research conducted on state-of-the-art intelligent control systems for energy and comfort management in smart energy buildings (SEB's).
Proceedings ArticleDOI
Investigation of window size in classification of EEG-emotion signal with wavelet entropy and support vector machine
Henry Candra,Mitchell Yuwono,Rifai Chai,A. M. Ardi Handojoseno,Irraivan Elamvazuthi,Hung T. Nguyen,Steven W. Su +6 more
TL;DR: An important discovery that information on emotions contained in the EEG signal may be better described in term of wavelets and in shorter time segments is made.
Journal ArticleDOI
Building energy for sustainable development in Malaysia: A review
Pervez Hameed Shaikh,Pervez Hameed Shaikh,Nursyarizal Mohd Nor,Anwer Ali Sahito,Perumal Nallagownden,Irraivan Elamvazuthi,M. S. Shaikh +6 more
TL;DR: In this paper, a review on the building energy scenario, the policy perspectives, building energy efficiency programs along with landmark buildings and their characteristics are discussed, and the potential of renewable energy resources in buildings and various prospective issues and challenges faced by the country have also been discussed.
Journal ArticleDOI
Swarm intelligence and gravitational search algorithm for multi-objective optimization of synthesis gas production
TL;DR: Multi-objective (MO) optimization of the combined CRM and POM of the methanol, ammonia, hydrogen and higher hydrocarbons requires synthesis gas and the central objectives considered are methane conversion, carbon monoxide selectivity and the hydrogen tocarbon monoxide ratio.