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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 ...
An investigation on visual and audiovisual stimulus based emotion recognition using EEG
(Inderscience Enterprises Ltd., 2009-01)
In this paper, we investigate the possibility of using visual and audio visual stimulus for detecting the human emotion by measuring electroencephalogram (EEG). Visual and audiovisual stimulus based protocols is designed ...
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 ...
Vowel recognition based on frequency ranges determined by bandwidth approach
(Institute of Eelectrical and Electronics Engineering (IEEE), 2009-07)
Automatic speech recognition (ASR) has made great strides with the development of digital signal processing hardware and software especially using English as the language of choice. In this paper, a new feature extraction ...
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 ...
Comparison of different wavelet features from EEG signals for classifying human emotions
(Institute of Electrical and Electronics Engineering (IEEE), 2009-10-04)
In recent years, estimation of human emotions from Electroencephalogram (EEG) signals plays a vital role on developing intellectual Brain Computer Interface (BCI) devices. In this work, we have collected the EEG signals ...
Automatic detection of prolongations and repetitions using LPCC
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-12-14)
Stuttering is a speech disorder in which the normal flow of speech is disrupted by occurrences of dysfluencies, such as repetitions, interjection and so on. There are high proportion of repetitions and prolongations in ...