Browsing Sazali Yaacob, Prof. Dr. by Title
Now showing items 212-231 of 251
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Segmentation and location computation of bin objects
(Ars International, 2007)In this paper we present a stereo vision based system for segmentation and location computation of partially occluded objects in bin picking environments. Algorithms to segment partially occluded objects and to find the ... -
A simple sign language recognition system using affine moment blur invariant features
(Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)Sign language recognition is one of the most promising sub-fields in gesture recognition research. Effective sign language recognition would grant the deaf and hard-of-hearing expanded tools for communicating with both ... -
Simulation on using cross-correlation technique for two-phase liquid/gas flow measurement for Ultrasonic Transmission Tomography
(Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)Combining Ultrasonic Transmission Tomography (UTT) with the cross-correlation flow measurement technique can provide more information on the flow than usual. A simulated dual-plane UTT system for use on laboratory and ... -
Simultaneous localization and map building – a guided tour
(Universiti Malaysia Perlis, 2009-10-11)Simultaneous Localization and Mapping (SLAM) has been one of the active research areas in robotic community for the past decade of years. SLAM addresses the problem of a robot navigating and building a map of an ... -
Single trial motor imagery classification for a four state brain machine interface
(Institute of Electrical and Electronics Engineering (IEEE), 2009-03-06)Motor imagery is the mental simulation of a motor act which can be used to design brain machine interfaces [BMI]. A BMI is a digital communication system, which connects the human brain directly to an external device ... -
Speaker accent recognition through statistical descriptors of Mel-bands spectral energy and neural network model
(IEEE Conference Publications, 2012-10)Accent recognition is one of the most important topics in automatic speaker and speaker-independent speech recognition (SI-ASR) systems in recent years. The growth of voice-controlled technologies has becoming part of our ... -
Speech emotion recognition using kNN classifier
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)There are many methods that are commonly used by researches in order to recognize speech of human emotion. In this paper, Surrey audio-visual expressed emotion (SAVEE) database are used for the analysis. The Mel-Frequency ... -
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 ...