Browsing Sazali Yaacob, Prof. Dr. by Title
Now showing items 117-136 of 250
-
Implementing eigen features methods/neural network for EEG signal analysis
(Institute of Electrical and Electronics Engineers (IEEE), 2013-01)This paper presented the possibility of implementing eigenvector methods to represent the features of electroencephalogram signal. In this study, three eigenvector methods were investigated namely Pisarenko, Multiple Signal ... -
Improved back propagation neural network for the diagnosis of pathological voices
(Association for Advancedment of Modelling and Simulation Techniques in Entreprises (A.M.S.E), 2008)Most of vocal and voice diseases cause changes in the voice. ENT clinicians use acoustic voice analysis to characterize the pathological voices. Nowadays, voice diseases are increasing dramatically due to unhealthy social ... -
Improving gas component detection of an ultrasonic tomography system for monitoring liquid/gas flow
(Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)The development of an ultrasonic transmission tomography system is described. The system is intended for the imaging of two component flows (such as gas/water) inside pipes of industrial processes. Transmission-mode ... -
In vitro evaluation of finger's hemodynamics for vein graft surveillance using electrical bio-impedance method
(American-Eurasian Network for Scientific Information (AENSI), 2014-03)Electrical bio-impedance measurement has great potential in many biomedical applications including vein graft surveillance. Studies have shown that thrombosis was the major cause of the vein graft failure. The meticulous ... -
Infant cry classification to identify asphyxia using time-frequency analysis and radial basis neural networks
(Elsevier Ltd, 2012-08)A cry is the first verbal communication of infants and it is described as a loud, high-pitched sound made by infants in response to certain situations. Infant cry signals can be used to identify physical or psychological ... -
Infant cry classification: time frequency analysis
(IEEE Conference Publications, 2013-11)Acoustic analysis of infant cry has been the subject of a number of researchers since half decades ago. This paper addresses a simple time-frequency analysis based signal processing technique using short-time Fourier ... -
Infant hungry recognition based on k-NN and Autoregressive Model
(American Scientific Publishers All rights reserved., 2013-11)To study their behaviour without knowing what their needs is another crucial issue. A lot of researches have been rapidly investigated. Thus, in this paper we proudly proposed a system to determine the hungry infant based ... -
Intelligent Diagnosis System for Voice Disorders
(School of Mechatronic Engineering, 2008-01-09)Diagnosis system for voice disorders without expertise of ENT. -
An Intelligent Gesture to Voice Communication System for Hearing Impaired
(Universiti Malaysia Perlis, 2010-01-07)The designed system is accessible and user friendly. This system is primarily designed for deaf, deafened and hard of hearing people to solve their communication problems and gives them the same whole life experience to ... -
Intelligent Sensor for Reversing Vehicles
(Kementerian Pengajian Tinggi Malaysia (KPTM), 2007-08-10)The Intelligent Sensor for Reversing Vehicles comprises of a stereo camera (placed on the rear bumper of the car), a processing unit, a display unit and speaker (placed near the dashboard of the car). The cameras are ... -
An Intelligent System for Engine Fault Detection
(Malaysian Invention & Design Society (MINDS), 2007-05-18)Condition monitoring and machinery fault diagnosis are central to the implementation of efficient maintenance management strategies. In real time vehicle servicing environment engine fault diagnosis is being done manually ... -
Intelligent vehicle fault diagnosis system using Neural Networks
(Universiti Teknologi MaraFaculty of Electrical Engineering, 2007-03-09)Diagnosis has become a very complex and critical task in determining the condition of vehicle engine. Sound emitted by the engine is always considered to be an annoying noise but a detaiedl analysis of the sound signal ... -
An Intelligent Vision Based Domestic Waste Sorting System
(School of Mechatronic Engineering, 2008-01-09)The Intelligent Vision Based Domestic Waste Sorting System is an automatic waste sorting system which use vision and infra red sensors to indentify paper and plastic. The system consists of a conveyor system to feed the ... -
Investigation of vision impairments using pattern reversal VEPs and extreme learning machine
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)Analysis of vision impairment using pattern reversal visually evoked potentials (VEP) is gaining interest from researchers. The VEPs are collected using non-invasive EEG electrodes from the scalp overlaying the occipital ... -
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 ... -
Japanese face emotions classification using lip features
(Institute of Electrical and Electronics Engineering (IEEE), 2007)In this paper, lip features are applied to classify the human emotion using a set of irregular ellipse fitting equations using Genetic algorithm. As Japanese, is considered in this study. All six universally accepted ... -
Jaundice in newborn monitoring using color detection method
(Elsevier B.V., 2012-03-10)Jaundice is a yellow discoloration of the skin and/or whites of the eyes that is often seen in newborn infants. The discoloration is caused by a yellow substance called bilirubin. Infants with high blood levels of bilirubin, ... -
Lifting scheme for human emotion recognition using EEG
(IEEE Conference Publications, 2008-08)In recent years, the need and importance of automatically recognizing emotions from EEG signals has grown with increasing role of brain computer interface applications. The detection of fine grained changes in functional ... -
Loudspeaker fault detection using artificial neural network
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)Traditionally, loudspeaker's quality control has been done manually and inspection of loudspeaker faults is time consuming and causes error in the quality evaluation. In order to reduce the time consumption and errors in ... -
Magnetic induction tomography modeling in biological tissue imaging using two-port network technique
(International Frequency Sensor Association (IFSA), 2013)Magnetic Induction Tomography (MIT) is a non-invasive and non-intrusive imaging technique which interested in passive electrical properties of a material that are permittivity, permeability and conductivity. MIT applies ...