Browsing Sazali Yaacob, Prof. Dr. by Title
Now showing items 137-156 of 251
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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 ... -
Malay speech recognition in normal and noise condition
(Institute of Electrical and Electronics Engineers (IEEE), 2012-03)Automatic speech recognition (ASR) is an area of research which deals with the recognition of speech by machine in several conditions. ASR performs well under restricted conditions (quiet environment), but performance ... -
Malaysian English accents identification using LPC and formant analysis
(IEEE Conference Publications, 2011-11)In Malaysia, most people speak several varieties of English known as Malaysian English (MalE) and there is no uniform version because of the existence of multi-ethnic population. It is a common scenario that Malaysians ... -
Malaysian vowel recognition based on spectral envelope using bandwidth approach
(Institute of Electrical and Electronics Engineering (IEEE), 2009-05-25)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 ... -
Materials strength analysis for Artificial Muscles
(Kolej Universiti Kejuruteraan Utara Malaysia, 2006-06-15)The intention of this article is to introduce and overview Pneumatic Artificial Muscles (PAMs) as whole and to discuss on its numerical modelling, namely the development of a mathematical model, to understand more on its ... -
Mathematical model attitude estimation using Kalman filter technique for low earth orbit satellite
(Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)In space, the attitude analysis of a satellite is constantly being computed within the system of the satellite. In this paper, the linear mathematical model of the satellite attitude control with gravity gradient moment, ... -
Mathematical modeling and simulation for satellite attitude control
(Universiti Malaysia Perlis (UniMAP)Institut Matematik Kejuruteraan, 2010-06-02)In this paper, a linear mathematical model of the satellite attitude control is derived for the Gravity Gradient (GG) controls method, which represents a passive control design. Natural physical properties of the satellite ... -
Mathematical modeling of human body for lifting task
(IEEE Conference Publications, 2012)Physical lifting tasks commonly involve to types of body postures, namely, squat lifting and stoop lifting. Studies shows improper body posture during lifting task has detrimental effect to human lower-back region over ... -
Measuring the speech intelligibility of the sound reinforced classroom
(Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)Classroom speech intelligibility has become one of the main concerns in schools and other learning institutions development nowadays. This is because the qualities of student’s perceptions towards teacher are essentials ... -
Mental tasks classifications using S-transform for BCI applications
(IEEE Conference Publications, 2011-10)The classification of different types of mental tasks is an active area of research that seems to be ever expanding. This field is gaining interest from researchers all over the world. This study is intended to utilize the ... -
Methods and approaches on inferring human emotional stress changes through physiological signals: A review
(Inderscience Enterprises Ltd, 2013)Emotional stress is kind of stressful state which is developed due to the continuous occurrence of negative emotions such as sad, disgust, angry and fear over a long period of time. In this work, a detailed investigation ... -
Methods and approaches on inferring human emotional stress changes through physiological signals: A review
(Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)Emotional stress is kind of stressful state which is developed due to the continuous occurrence of negative emotions such as sad, disgust, angry and fear over a long period of time. Under stressful condition, Autonomic ... -
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 ... -
Model reference adaptive neuro-controller based on HMLP network
(Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)In this paper, an Adaptive Neuro-Controller (ANC) based on HMLP Network is proposed as an alternative to a conventional adaptive controller. The ANC will be adapted such that the plant should follow a desired output, ... -
Model reference adaptive neuro-controller with on-line parameter estimation
(Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)In this paper, a Model Reference Adaptive Neuro- Controller is developed, in which the error between the outputs of the plant and the reference model is used to adapt the controller parameters. The Model Reference Adaptive ... -
Modified energy based time-frequency features for classifying human emotions using EEG
(Universiti Malaysia Perlis, 2009-10-11)In this paper we summarize the emotion recognition from the electroencephalogram (EEG) signals. The combination of surface Laplacian filtering, time-frequency analysis (Wavelet Transform) and linear classifiers are used ... -
Motorbike engine faults diagnosing system using entropy and functional link neural network in wavelet domain
(Universiti Malaysia Perlis, 2009-10-11)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 ... -
Motorbike engine faults diagnosing system using Entropy and Functional Link Neural Network in wavelet domain
(Universiti Malaysia Perlis, 2009-10-11)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 ... -
Motorbike engine faults diagnosing system using neural network
(IEEE Conference Publications, 2008-12)Monitoring systems for motorbike industry requires high and efficient degree of performance. In recent years, automatic identification and diagnosis of motorbike engine faults has become a very complex and critical task. ... -
Multiple objects detection using Separability Filter and Circular Hough Transform
(Kolej Universiti Kejuruteraan Utara Malaysia, 2006-06-15)In this paper we propose a new system to detect the object from an input image. The proposed system first uses the separability filter proposed by Fukui and Yamaguchi to obtain the best object candidates and second, the ...