Hariharan Muthusamy, Dr.: Recent submissions
Now showing items 61-78 of 78
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Diagnosis of voices disorders using MEL scaled WPT and functional link neural network
(Biomedical Fuzzy Systems Association (BMFSA), 2008-03-31)Nowadays voice disorders are increasing dramatically due to the modern way of life. Most of the voice disorders cause changes in the voice signal. Acoustic analysis on the speech signal could be a useful tool for ... -
Patients tremble analysis under different camera placement in critical care
(Science Academy, 2011-03)This paper presents an integrated system for detecting facial changes of patient in a hospital in Intensive Care Unit (ICU). In this research we have considered the facial changes most widely represented by eyes and mouth ... -
Detection of vocal fold paralysis and edema using time-domain features and probabilistic neural network
(Inderscience Publisher, 2011)This paper proposes a feature extraction method based on time-domain energy variation for the detection of vocal fold pathology. In this work, two different vocal fold problems (vocal fold paralysis and edema) are taken ... -
Classification of speech dysfluencies using LPC based parameterization techniques
(Springer Science+Business Media, LLC., 2011-01-20)The goal of this paper is to discuss and compare three feature extraction methods: Linear Predictive Coefficients (LPC), Linear Prediction Cepstral Coefficients (LPCC) and Weighted Linear Prediction Cepstral Coefficients ... -
Detection of facial changes for hospital ICU patients
(Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)This paper presents an integrated system for detecting facial changes of patient in a hospital in Intensive Care Unit (ICU). The facial changes are most widely represented by eyes and mouth movements. The proposed system ... -
Comparison of performance using Daubechies Wavelet family for facial expression recognition
(Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)This paper investigates the performance of a Daubechies Wavelet family in recognizing facial expressions. A set of luminance stickers were fixed on subject's face and the subject is instructed to perform required facial ... -
Time-domain features and probabilistic neural network for the detection of vocal fold pathology
(Universiti Malaya, 2010)Due to the nature of job, unhealthy social habits and voice abuse, people are subjected to the risk of voice problems. It is well known that most of vocal fold pathologies cause changes in the acoustic voice signal. ... -
Detection of facial changes for hospital ICU patients using neural network
(Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)This paper presents an integrated system for detecting facial changes of patient in a hospital in Intensive Care Unit (ICU). The facial changes are most widely represented by eyes movements. The proposed system uses color ... -
Nano-satellite Attitude Control System
(Universiti Malaysia Perlis (UniMAP)Pejabat Timbalan Naib Canselor (Penyelidikan dan Inovasi), 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 ... -
Non-invasive pathological voice classifications using linear and non-linear classifiers
(Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2010)In this research work, a non-invasive method is conducted to diagnose the voice diseases through acoustic analysis of voice signal. Three feature extraction methods are proposed based on the time-domain energy variations, ... -
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 ... -
Diagnosis of vocal fold pathology using time-domain features and systole activated neural network
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)Due to the nature of job, unhealthy social habits and voice abuse, the people are subjected to the risk of voice problems. It is well known that most of vocal fold pathologies cause changes in the acoustic voice signal. ... -
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 ... -
MFCC based recognition of repetitions and prolongations in stuttered speech using k-NN and LDA
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-11-16)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 a high proportion of repetitions and prolongations in ... -
Identification of vocal fold pathology based on Mel Frequency Band Energy Coefficients and singular value decomposition
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-11-18)Many approaches have been developed to detect the vocal fold pathology. Among the approaches, analysis of speech has proved to be an excellent tool for vocal fold pathology detection. This paper presents the Mel Frequency ... -
Design and development of stereo motion for mobile observation center
(Universiti Malaysia Perlis, 2009-10-11)This paper presents an approach to the condition monitoring patient in ICU. A human-computer interface (HCI) system is designed for the people with severe disabilities. For the last decades, most of the patients’ sleeps ... -
Artificial neural network for the classification of steel hollow pipe
(Universiti Malaysia Perlis, 2009-10-11)Within industry, piping is a very important system that used to convey fluid (liquid and gases) from one location to another. Steel pipe is one of the commonly type of pipe that has been used since before. Crack on pipe ... -
Prediction of Reverberation time in university classrooms using Neural Network
(Universiti Kebangsaan Malaysia, 2007)Reverberation time is fundamental to the study of the acoustics of an enclosed space. An important objective of architectural acoustics is to predict the reverberation time in an enclosed space. Reverberation time is also ...