Browsing Sazali Yaacob, Prof. Dr. by Title
Now showing items 218-237 of 250
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A speech recognition system for Malaysian English pronunciation using Neural Network
(Universiti Malaysia Perlis, 2009-10-11)The English language as spoken by Malaysians varies from place to place and differs from one ethnic community and its sub-group to another. In this paper, an automatic vowel classification system based on linear predictive ... -
Speech stuttering assessment using sample entropy and Least Square Support Vector Machine
(Institute of Electrical and Electronics Engineers (IEEE), 2012-03)This work is intended to discuss the performance of sample entropy feature for the recognition of stuttered events. The data for the analysis is taken from the UCLASS database. Manual segmentation is performed to identify ... -
Statistical formant descriptors with linear predictive coefficients for accent classification
(Institute of Electrical and Electronics Engineers (IEEE), 2013-06)Accent is a special trait of human speech that can deliver some information about a speaker's background. At the same time it is one of the profound factors that affects the intelligibility and performance of speech ... -
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 ... -
Steel plate damage diagnosis using probabilistic neural network
(IEEE Conference Publications, 2013-01)This paper discusses the application of frame energy based DFT spectral band features for the detection of damages in steel plates. A simple experimental model is devised to suspend the steel plates in a free-free condition. ... -
Stereo Sensors-based Object Segmentation and Location for a Bin Picking Adept SCARA Robot
(Universiti Malaysia Perlis, 2007)In this paper we present a stereo vision system for segmentation of partially occluded objects and computation of object grasping point in bin picking environments. The stereo vision system was interfaced with an Adept ... -
Stereo vision system for a bin picking adept robot
(Universiti Malaya, 2007)In bin picking applications, robots are required to pick up an object from a pile of stacked or scattered objects placed in a bin. To perform such tasks, identification of the objects to be picked using a vision system is ... -
Stockwell transform and clustering techniques for efficient detection of vision impairments from single trial VEPs
(Inderscience Enterprises Ltd., 2013)Pattern reversal visually evoked potentials (VEPs) provide valuable information about the visual nerves pathways and is a promising field to be explored for the investigation of vision impairments. The conventional method ... -
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 ... -
Structural steel plate damage detection using non destructive testing, frame energy based statistical features and artificial neural networks
(Malaysian Technical Universities Network (MTUN), 2012-11-20)This paper discusses about the detection of damages present in the steel plates using nondestructive vibration testing. A simple experimental model has been developed to hold the steel plate complying with the simply ... -
Structural steel plate damage detection using non destructive testing, frame energy based statistical features and artificial neural networks
(Elsevier Ltd., 2013)This paper discusses about the detection of damages present in the steel plates using nondestructive vibration testing. A simple experimental model has been developed to hold the steel plate complying with the simply ... -
A study of a two phases medium in pipe vessel using gaussian filter method and k-NN classifier
(IOS Press, 2013-07-03)In this paper we present the existence and uniqueness of solutions to the stochastic problem to determine two phase level of gas and water in the industrial pipe line. In order to distinguish the level phases in a vessel ... -
The study of gravity gradient effect on attitude of low earth orbit satellite
(AIP Publishing LLC, 2013)Simulations and mathematical models are increasingly used to assist the process of decision making in engineering design. The objective of this paper is to simulate the linear attitude dynamics of small satellites under ... -
A study of human emotional: Review
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)Modeling human activities such as human robotic, and human behavior is an active research involving multidisciplinary field including biomedical engineering, biomechanics, mathematics etc. Thus is due to the fact that a ... -
A study of Inhaled Pharmaceutical Aerosol (IPA) flow characteristic with various types of fan design in metered dose inhaler
(Universiti Malaysia Perlis, 2009-10-11)Metered Dose Inhalers (MDI) is used to prevent and relieve the symptoms and progression of certain diseases (asthma, chronic obstructive pulmonary disease, cystic fibrosis and bronchiectasis) by delivering the inhaled ... -
The study of particle filter for satellite angular rate estimation without rate sensor measurement
(EDP Sciences, 2018)This paper studies particle filter algorithm to estimate the angular rate of a satellite without the rate sensor measurements. In this work, the performance of the algorithm is studied in terms of capability to estimate ... -
Supervised neural network classifier for voice pathology
(Kongu Engineering College, 2008-01-03)The classification of normal and pathological voices using noninvasive acoustical analysis features helps speech specialist to perform accurate diagnoses of vocal and voice disease. Acoustic analysis is a non-invasive ... -
A Support system for visually impaired persons to understand environmental information using Acoustic Interface
(Kolej Universiti Kejuruteraan Utara Malaysia, 2005-05-14)Visually impaired find their navigation difficult as they often lack the needed information for bypassing obstacles and hazards. Electronic Travel Aids (ETAs) are devices that use sensor technology to assist and improve ... -
Synchronous brain machine interface design using focused time delay networks
(Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)Focused time delay neural network based design for a four-state Brain Machine Interface (BMI) to drive a wheelchair is analyzed. Motor imagery signals recorded noninvasively using two bipolar electrodes are used in the ... -
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. ...