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Robot chair control using an asynchronous brain machine
(Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)
Robot chair control using an asynchronous brain machine interface (ABMI) based on
motor imagery requires sufficient subject training. This paper proposes a generalized a
brain machine interface design to investigate the ...
Entropy based feature extraction for motorbike engine faults diagnosing using neural network and wavelet transform
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)
The sound of working vehicle provides an important clue for engine faults diagnosis. Endless efforts have been put into the research of fault diagnosis based on sound. It offers concrete economic benefits, which can lead ...
Voiceless Voice : An Itelligent Communication System For Physically Retarded Communities
(Malaysia Association of Research Scientists (MARS), 2010-02-04)
The system can be easily custom designed for a physically impaired person. The system can be installed on any commercial powered computer or a laptop. Our product is cost effective compared to the cost of hiring care givers ...
Development of attitude control system on RCM3400 microcontroller
(Institute of Electrical and Electronic Engineers (IEEE), 2009-02-17)
This paper describes the development of a nanosatellite altitude control system (ACS) which employ a filter base controller with comparison with a simple adaptive predictive fuzzy logic controller (APFLC) for a 1, 2 and 3 ...
Nano-satellite Attitude Control System
(Universiti Malaysia Perlis (UniMAP), 2009-12)
A satellite maneuvers through orbit with the use of an attitude control system (ACS) to stay on course and always pointing towards earth reference. This maximizes the solar cell-sun and camera-earth coverage, a process ...
Damage detection in steel plates using artificial neural networks
(Institute of Electrical and Electronics Engineering (IEEE), 2009-06-04)
In this paper, a simple method for crack identification in steel plates based on frame energy based Discrete Cosine Transformation (DCT) is presented. A simple experimental procedure is also proposed to measure the vibration ...
Statistical time energy based damage detection in steel plates using artificial neural networks
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)
In this paper, a simple method for crack identification in steel plates based on statistical time energy is presented. A simple experimental procedure is also proposed to measure the vibration at different positions of a ...
Classification of vowel sounds using MFCC and feed forward neural network
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)
The English language as spoken by Malaysians varies from place to place and differs from one ethnic community and its sub-group to another. Hence, it is necessary to develop an exclusive Speech to text translation system ...
Identification of vocal and voice disorders
(Universiti Malaysia Perlis (UniMAP), 2007-10-25)
The discrimination of normal and pathological voices using noninvasive acoustic analysis helps to perform accurate identification of voice disorders and diagnoses of vocal and voice disease. Acoustic analysis is a non- ...
Structural steel plate damage detection using DFT spectral energy and artificial neural network
(Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)
In this paper, simple methods for crack identification
in steel plates and their classification based on the frame based
frequency domain features is presented. Based upon the
boundary conditions and experimental modal ...