Now showing items 1-16 of 16

    • Adaptive boosting with SVM classifier for moving vehicle classification 

      Norasmadi, Abdul Rahim; Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.; Abdul Hamid, Adom, Prof. Dr. (Malaysian Technical Universities Network (MTUN), 2012-11-20)
      This study examines co-solvent modified supercritical carbon dioxide (SC-CO2) to extract the saturated fatty acids from palm oil. The applied pressure was ranging from 60 to 180 bar and the extraction temperatures were ...
    • Application-specific multichannel EEG data acquisition system for portable biomedical application 

      Paulraj, Murugesa Pandian, Dr.; Abdul Hamid, Adom, Prof. Dr.; Tung, Kai Xu; Subramaniam, Kamalraj (Malaysian Technical Universities Network (MTUN), 2012-11-20)
      This paper presents the design and construction of a low power application-specific EEG bio-potential multichannel amplifier with high common mode rejection ratio (CMRR) and high input impedance. The bio-potential amplifier ...
    • Brain machine interface for physically retarded people using colour visual tasks 

      Pandiyan, Paulraj Murugesa, Prof. Dr.; Abdul Hamid, Adom, Prof. Dr.; Hema, Chengalvarayan Radhakrishnamurthy; Purushothaman, D. (IEEE Conference Publications, 2010-05)
      A Brain Machine Interface is a communication system which connects the human brain activity to an external device bypassing the peripheral nervous system and muscular system. It provides a communication channel for the ...
    • 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 ...
    • Development of solar powered automated fertigation controller for rock melon cultivation in natural ventilated green house 

      Jefri Efendi, Mohd Salih; Abdul Hamid, Adom, Prof. Dr.; Ali Yeon, Md Shakaff, Prof. Dr. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      Production of vegetables and fruits in Malaysia using fertigation method been experiencing accelerated growth. Fertigation allow farmers to automatically deliver adequate nutrient quantity and concentration through drip ...
    • 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) ...
    • Improved Maturity and Ripeness Classifications of Magnifera Indica cv. Harumanis Mangoes through Sensor Fusion of an Electronic Nose and Acoustic Sensor 

      Ammar, Zakaria; Ali Yeon, Md Shakaff, Prof. Dr.; Maz Jamilah, Masnan; Fathinul Syahir, Ahmad Saad; Abdul Hamid, Adom, Prof. Dr.; Mohd Noor, Ahmad, Prof. Dr.; Mahmad Nor, Jaafar, Assoc. Prof. Dr.; Abu Hassan, Abdullah; Latifah Munirah, Kamarudin (MDPI AG, 2012-05-10)
      In recent years, there have been a number of reported studies on the use of non-destructive techniques to evaluate and determine mango maturity and ripeness levels. However, most of these reported works were conducted ...
    • Improving classification of EEG signals for a four-state brain machine interface 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.; Abdul Hamid, Adom, Prof. Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2012)
      Neural network classifiers are one among the popular modes in the design of classifiers for electroencephalograph based brain machine interfaces. This study presents algorithms to improve the classification performance of ...
    • Malay speech recognition in normal and noise condition 

      Fook, C. Y.; Hariharan, Muthusamy, Dr.; Sazali, Yaacob, Prof. Dr.; Abdul Hamid, Adom, Prof. Dr. (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 ...
    • Multivariate prediction model for early detection and classification of bacterial species in diabetic foot ulcers 

      Azian Azamimi, Abdullah; Nurlisa, Yusuf; Mohammad Iqbal, Omar@Ye Htut, Assoc. Prof. Dr.; Ammar, Zakaria; Latifah Munirah, Kamarudin; Ali Yeon, Md Shakaff, Prof. Dr.; Abdul Hamid, Adom, Prof. Dr.; Maz Jamilah, Aznan (Atlantis Press, 2014)
      Many diabetic patients eventually develop foot ulcers are at risk for further infection and subsequent amputation if they are not treated promptly. Hence, this study is focused on identifying wild type strain bacteria and ...
    • The NARMAX Model for a DC Motor using MLP Neural Network 

      Norasmadi, Abdul Rahim; Mohd Nasir, Taib; Abdul Hamid, Adom, Prof. Dr.; Mohd Yusof, Mashor, Prof. Dr. (Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM)School of Mechatronic Engineering, 2006-09-15)
      The approach to the design of direct current (DC) motor varies considerably using advanced methods such asartificial intelligence (AI). However, accuracy issuescannot be totally achieved using conventional methods.This ...
    • Objective evaluation of speech dysfluencies using wavelet packet transform with sample entropy 

      Hariharan, Muthusamy, Dr.; Chong, Yen Fook; Sindhu, Ravindran; Abdul Hamid, Adom, Prof. Dr.; Sazali, Yaacob, Prof. Dr. (Elsevier Inc, 2013-05)
      Dysfluency and stuttering are a break or interruption of normal speech such as repetition, prolongation, interjection of syllables, sounds, words or phrases and involuntary silent pauses or blocks in communication. Stuttering ...
    • Objective investigation of vision impairments using single trial pattern reversal visually evoked potentials 

      Vijean, vikneswaran; Hariharan, Muthusamy, Dr.; Sazali, Yaacob, Prof. Dr.; Mohd Nazri, Sulaiman; Abdul Hamid, Adom, Prof. Dr. (Elsevier Ltd., 2013-07)
      Visually evoked potentials (VEPs) originate from the occipital cortex and have long been used as a reliable indicator for vision impairments by ophthalmologists. Any abnormalities in the visual pathways of a person can be ...
    • Orthogonal least squares method and its application to nonlinear modeling of automotive engine fuelled with palm oil methyl esters 

      Azuwir, Mohd Nor; Mohd Zaki, Ab. Muin, Prof. Dr.; Abdul Hamid, Adom, Prof. Dr. (Praise Worthy Prize S.r.l., 2013)
      In this paper, nonlinear mathematical models for an automotive engine fuelled with palm biodiesel (Palm Oil Methyl Ester) are developed. Assuming a discrete time form for the system model, a polynomial Nonlinear Autoregressive ...
    • Real-time control of automotive engine fuelled with Malaysian palm oil biodiesel 

      Azuwir, Mohd Nor; Mohd Zaki, Abdulmuin, Prof. Dr.; Abdul Hamid, Adom, Prof. Dr. (Praise Worthy Prize S.r.l., 2012)
      With the rapid decline in energy resources, the increasing environmental concerns, and the high demand of energy consumption, many countries have been looking for alternative energy to substitute fossil fuel. One of the ...