Now showing items 1-20 of 68

    • Analysis of the residual between the model and the data using autocorrelation function for satellite attitude estimation 

      Nor Hazadura, Hamzah; Sazali, Yaacob, Prof. Dr.; Hariharan, Muthusamy, Dr.; Norhizam, Hamzah (Institute of Electrical and Electronics Engineers (IEEE), 2013-03)
      Objective of this paper is to investigate whether the noise in attitude dynamics model and measurement model is Gaussian white noise process or not. This is important because if the assumption regarding the noise is wrong, ...
    • An application of finite element modelling to pneumatic artificial muscle 

      Ramasamy, Ravichandran; Mohd. Rizon, Mohamed Juhari, Prof. Ir. Dr.; Mohd Rozailan, Mamat, Prof. Madya Dr.; Sazali, Yaacob, Prof. Dr.; Nashrul Fazli, Mohd Nasir, Dr.; Sugisaka, Masanori (Science Publications, 2005)
      The purpose of this article was to introduce and to give an overview of the Pneumatic Artificial Muscles (PAMs) as a whole and to discuss its numerical modelling, using the Finite Element (FE) Method. Thus, more information ...
    • Application of frame energy based DCT moments for the damage diagnosis in steel plates using FLNN 

      Paulraj, Murugesa Pandiyan, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Mohd Shukry, Abdul Majid, Dr.; Krishnan, Pranesh (IEEE Conference Publications, 2012-12)
      This paper discusses the application of frame energy based Discrete Cosine Transformation (DCT) moment features for the detection of damages in steel plates. A simple experimental model is devised to suspend the steel ...
    • Auditory wavelet packet filters for multistyle classification of speech under stress 

      Nurul Aida Amira, Johari; Hariharan, Muthusamy, Dr.; Sazali, Yaacob, Prof. Dr.; Vijean, Vikneswaran (IEEE Conference Publications, 2011-11)
      Nowadays, people are having high stress level due to high workload stress, emergency phone call and multitasking. Emotional/stress of a person affect his/her performance in daily life and speech production. The research ...
    • Automatic infant anxiety character with SVM 

      Sazali, Yaacob, Prof. Dr.; Muthusamy, Hariharan, Dr.; Shafriza Nisha, Basah, Dr.; Mohd Lutfi, Mohd Khidir; Ku Mohd Yusri, Ku Ibrahim; Syahrull Hi-Fi Syam, Ahmad Jamil; Ahmad Kadri, Junoh; Muhammad Nazri, Rejab; Muhammad Naufal, Mansor (Elsevier Ltd., 2012)
      Notable complications of sedation practices have been identified and efforts to modify these practices in ICUs have begun. While sedation-scoring tools have been introduced into clinical practice in intensive care few have ...
    • Automatically infant cues recognition based on LDA and SVM classifier 

      Sazali, Yaacob, Prof. Dr.; Muhammad Nazri, Rejab; Ahmad Kadri, Junoh; Syahrull Hi-Fi Syam, Ahmad Jamil; Shafriza Nisha, Basah, Dr.; Muthusamy, Hariharan, Dr.; J, Ahmad; Mohd Lutfi, Mohd Khidir; Ku Mohd Yusri, Ku Ibrahim; Muhammad Naufal, Mansor (Springer Berlin Heidelberg, 2013)
      This paper presents the management of sedation in critically ill infants is a complex issue for Intensive Care Units (ICU) worldwide. Notable complications of sedation practices have been identified and efforts to modify ...
    • Classification of emotional States from electrocardiogram signals: a non-linear approach based on hurst 

      Selvaraj, Jerritta; Murugappan, M., Dr.; Wan Khairunizam, Wan Ahmad, Dr.; Sazali, Yaacob, Prof. Dr. (BioMed Central, 2013-05)
      Background: Identifying the emotional state is helpful in applications involving patients with autism and other intellectual disabilities; computer-based training, human computer interaction etc. Electrocardiogram (ECG) ...
    • Classification of speaker accent using hybrid DWT-LPC features and K-nearest neighbors in ethnically diverse Malaysian English 

      Yusnita, Mohd Ali; Pandiyan, Paulraj Murugesa, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Shahriman, Abu Bakar, Dr. (IEEE Conference Publications, 2012-12)
      Accent is a major cause of variability in automatic speaker-independent speech recognition systems. Under certain circumstances, this event introduces unsatisfactory performance of the systems. In order to circumvent this ...
    • Comparison of LPCC and MFCC for isolated Malay speech recognition 

      Chong x, Chong Yen Fook; Muthusamy, Hariharan, Dr.; Sazali, Yaacob, Prof. Dr.; Abdul Hamid, Adom, Prof. Dr. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      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 ...
    • Comparison of speech parameterization techniques for the classification of speech disfluencies 

      Chong, Yen Fook; Hariharan, Muthusamy, Dr.; Lim, Sin Chee; Sazali, Yaacob, Prof. Dr.; Abdul Hamid, Adom, Prof. Dr. (Scientific and Technical Research Council of Turkey, 2013-12)
      Stuttering assessment through the manual classification of speech disfluencies is subjective, inconsistent, time-consuming, and prone to error. The aim of this paper is to compare the effectiveness of the 3 speech feature ...
    • Detection of facial changes for ICU patients using KNN classifier 

      Muhammad Naufal, Mansor; Sazali, Yaacob, Prof. Dr.; Nagarajan, Ramachandran; Che, Lim Sin; Hariharan, Muthusamy, Dr.; Muhd Ezanuddin, Abdul Aziz (2010-06)
      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 human stress using short-term ECG and HRV signals 

      Karthikeyan, Palanisamy; Murugappan, Muthusamy, Dr.; Sazali, Yaacob, Prof. Dr. (World Scientific Publishing Company, 2013-04)
      This paper introduces a method for resolving the problem of human stress detection through short-term (less than 5 min) electrocardiogram (ECG) and heart rate variability (HRV) signals. The explored methodology helps to ...
    • Detection of vocal fold paralysis and edema using time-domain features and probabilistic neural network 

      Hariharan, Muthusamy; Paulraj, Murugesa Pandiyan, Assoc. Prof.; Sazali, Yaacob, Prof. Dr. (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 ...
    • Development of attitude control simulator for InnoSAT satellite system 

      Siti Maryam, Sharun; Mohd Yusoff, Mashor, Dr.; Sazali, Yaacob, Prof. Dr.; Zul Azfar, Ahmam; N. Hamzah (Universiti Malaysia Perlis (UniMAP), 2012-05-18)
      The current study proposes a novel approach for satellite attitude control simulator design where the simulator consists of both software and hardware. A software simulator will represent the satellite dynamic model, ...
    • Discrete wavelet transform in recognition human emotional movement through knocking 

      Shafriza Nisha, Basah, Dr.; Sazali, Yaacob, Prof. Dr.; Muthusamy, Hariharan, Dr.; Nurnadia, M. Khair (IEEE Conference Publications, 2013)
      Developing tools for identifying emotional states in human action is seen more challenging area of research and has attracted many researchers recently. In this paper, a new feature extraction method was proposed in ...
    • Discrimination of vision impairments using single trial VEPs 

      Vijean, Vikneswaran; Hariharan, Muthusamy, Dr.; Sazali, Yaacob, Prof. Dr. (IEEE Conference Publications, 2011-11)
      Analysis of Visually evoked potential (VEP) in the investigation of ocular diseases is gaining interests from researchers all over the world. VEP is an electrical signal generated by the brain (Occipital Cortex) in response ...
    • Dynamic model and simulation on attitude menoeuvring of flexible satellite 

      Teoh, Vil Cherd; Sazali, Yaacob, Prof. Dr.; Shahriman, Abu Bakar, Dr.; Rakhmad Arief, Siregar, Dr. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      Flexibility has gained much interest in satellite design in recent years due to its capability to accommodate much for functionality with minimum trade-off. A flexible satellite is satellite that consists of many movable ...
    • EEG based detection of conductive and sensorineural hearing loss using artificial neural networks 

      Pandiyan, Paulraj Murugesa , Prof. Dr.; Subramaniam, Kamalraj; Sazali, Yaacob, Prof. Dr.; Abdul Hamid, Adom, Prof. Dr.; Hema, C. R. (Advanced Institute of Convergence IT, 2013-05)
      In this paper, a simple method has been proposed to distinguish the normal and abnormal hearing subjects (conductive or sensorineural hearing loss) using acoustically stimulated EEG signals. Auditory Evoked Potential (AEP) ...
    • EMG signal based human stress level classification using wavelet packet transform 

      Karthikeyan, Palanisamy; Murugappan, M., Dr.; Sazali, Yaacob, Prof. Dr. (Springer-Verlag, 2012)
      Recent days, Electromyogram (EMG) signal acquired from muscles can be useful to measure the human stress levels. The aim of this present work to investigate the relationship between the changes in human stress levels to ...
    • Emotion detection from QRS complex of ECG signals using hurst exponent for different age groups 

      Selvaraj, Jerritta; Murugappan, M., Dr.; Wan Khairunizam, Wan Ahmad, Dr.; Sazali, Yaacob, Prof. Dr. (IEEE Conference Publications, 2013-09)
      Emotion recognition using physiological signals is one of the key research areas in Human Computer Interaction (HCI). In this work, we identify the six basic emotional states (Happiness, sadness, fear, surprise, disgust ...