This page provides access to research works by Prof. Dr. Abdul Hamid Adom, currently a Professor of School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP).

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Skills and Expertise: Artificial Intelligence, System Modeling and Control, Electronic Nose and Tongue, MATLAB Simulation, Signal Processing, Electrical & Electronics Engineering, Data Fusion, Advanced Control Theory, Automation & Robotics, System Modeling, Mechatronics, Mobile Robotics, Sensor Fusion, Neural Modeling, Control Systems, Modeling and Simulation, Control and Instrumentation

Recent Submissions

  • 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 ...
  • 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) ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Moving vehicle detection using time domain statistical features 

    Paulraj, Murugesa Pandiyan, Prof. Dr.; Abd Hamid, Adom, Prof. Dr.; Siti Marhainis, Othman; Sathishkumar, Sundararaj (Trans Tech Publications, 2014)
    The Hearing Impaired People (HIP) cannot distinguish the sound from a moving vehicle approaching from their behind. Since, it is difficult for hearing impaired to hear and judge sound information and they often encounter ...
  • 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 ...
  • 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 ...
  • Rapid identification method of aerobic bacteria in diabetic foot ulcers using electronic nose 

    Azian Azamimi, Abdullah; Tan, Woei Jing; Chua, Ai Sie; Nurlisa, Yusuf; Mohammad Iqbal, Omar@Ye Htut, Assoc. Prof. Dr.; Ali Yeon, Md Shakaff, Prof. Dr.; Abd Hamid, Adom, Prof. Dr.; Latifah Munirah, Kamarudin, Dr.; Yeap, Ewe Juan, Dr.; Ammar, Zakaria, Dr.; Amizah, Othman, Dr.; Mohd Sadek, Yasin (American Scientific Publishers, 2014-01)
    Diabetic foot ulcer (DFU) is an infection, ulcer or destruction of deep tissue associated with neurological abnormalities, musculoskeletal deformities and various degrees of peripheral vascular disease of lower limb. In ...
  • Bacteria classification using electronic nose for diabetic wound monitoring 

    Azian Azamimi, Abdullah; Nurlisa, Yusuf @ Idris; Ammar, Zakaria, Dr.; Mohammad Iqbal, Omar@Ye Htut, Assoc. Prof. Dr.; Ali Yeon, Md Shakaff, Prof. Dr.; Abd Hamid, Adom, Prof. Dr.; Latifah Munirah, Kamarudin, Dr.; Yeap, Ewe Juan, Dr.; Amizah, Othman, Dr.; Mohd Sadek, Yasin (Trans Tech Publications, 2013)
    Array based gas sensor technology namely Electronic Nose (E-nose) now offers the potential of a rapid and robust analytical approach to odor measurement for medical use. Wounds become infected when a microorganism which ...
  • Erratum: Adaptive boosting with SVM classifier for moving vehicle classification 

    Norasmadi, Abdul Rahim; Pandian, Paulraj Murugesa, Prof. Dr.; Abd Hamid, Adom, Prof. Dr. (Elsevier Ltd, 2013)
    Profoundly hearing impaired community (PHIC) cannot moderate wisely an acoustic noise ema- nated from moving vehicle in outdoor. They are not able to distinguish either type or distance of moving vehicle approaching from ...
  • Supervisory fuzzy learning control for underwater target tracking 

    Kia, C.; Arshad, M.R.; Abdul Hamid, Adom; Wilson, P.A. (School of Mechatronics Engineering, 2005-07-30)
    This paper presents recent work on the improvement of the robotics vision based control strategy for underwater pipeline tracking system. The study focuses on developing image processing algorithms and a fuzzy inference ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Classification of acoustic sound signature of moving vehicle using artificial neural network 

    Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.; Abdul Hamid, Adom, Prof., Dr.; Sathishkumar, Sundararaj (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
    The hearing impaired is afraid of walking along a street and living a life alone. Since, it is difficult for hearing impaired to hear and judge sound information and they often encounter risky situations while they are in ...
  • Multi-classifier system for moving vehicles classification based on spectral bands energy 

    Norasmadi, Abdul Rahim; Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.; Adom, Abdul Hamid, Prof. Dr.; Sathishkumar, Sundararaj (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
    Profoundly hearing impaired community cannot moderate wisely an acoustic noise emanated from moving vehicle in outdoor. They are not able to distinguish either type or distance of moving vehicle approaching from behind. ...
  • 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 ...
  • Adaptive boosting with SVM classifier for moving vehicle classification 

    Norasmadi, Abdul Rahim; Abd Hamid, Adom, Prof. Dr.; Paulraj, Murugesa Pandian (Elsevier Ltd, 2013)
    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 ...
  • Moving vehicle recognition and classification based on time domain approach 

    Paulraj, Murugesa Pandiyan, Prof. Dr.; Abd Hamid, Adom, Prof. Dr.; Sathishkumar, Sundararaj; Norasmadi, Abdul Rahim (Elsevier Ltd, 2013)
    Differentially Hearing Ability Enabled (DHAE) community cannot discriminate the sound information from a moving vehicle approaching from their behind. This research work is mainly focused on recognition of different vehicles ...

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