Now showing items 1-20 of 23

    • 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 ...
    • Bio-inspired vision fusion for quality assessment of harumanis mangoes 

      Fathinul Syahir, Ahmad Sa'ad; Ali Yeon, Md Shakaff, Prof. Dr.; Ammar, Zakaria; Mohd Zulkifly, Abdullah, Dr.; Abdul Hamid, Adom, Prof. Dr (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-08)
      The perceived quality of fruits, such as mangoes, is greatly dependent on many parameters such as ripeness, aroma, firmness, shape, size, and is influenced by other factors such as harvesting time. Unfortunately, a manual ...
    • 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 ...
    • Classification of EEG colour imagination tasks based BMI using energy and entropy features 

      Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.; Abdul Hamid, Adom, Assoc. Prof. Dr.; Hema, Chengalvarayan Radhakrishnamurthy; Purushothaman, Divakar (Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)
      Electroencephalogram (EEG) signals are the electrophysiological measures of brain function and it is used to develop a brain machine interface. Brain machine interface (BMI) system is used to provide a communication and ...
    • 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 ...
    • Deterministic and stochastic models of automotive engine fuelled with palm biodiesel 

      Azuwir, Mohd Noor; Mohd Zaki, Abdulmuin, Prof. Dr.; Abdul Hamid, Adom, Prof. Madya Dr. (Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)
      In this paper, two types of dynamic model for automotive diesel engine fuelled with palm biodiesel (Palm Oil Methyl Ester) are being developed using a black box technique. Assuming a discrete time form for the system ...
    • 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 ...
    • Edible bird nest shape quality assessment using machine vision system 

      Fathinul Syahir, Ahmad Sa'ad; Ali Yeon, Md Shakaff, Prof. Dr.; Ammar, Zakaria; Mohd Zulkifly, Abdullah, Dr.; Abdul Hamid, Adom, Prof. Dr; Ezanuddin, A. A. M. (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-08)
      Swiftlets are birds contained within the four genera Aerodramus, Hydrochous, Schoutedenapus and Collocalia. To date, the bird nest grading is based on weight, shape and size. The inspection and grading for raw edible bird ...
    • 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) ...
    • An Electronic Nose system for aromatic rice classification 

      Abu Hassan, Abdullah; Abdul Hamid, Adom, Prof. Madya Dr.; Ali Yeon, Md. Shakaff, Prof. Dr.; Mansur N, Ahmad; Ammar, Zakaria; Nazifah, Ahmad Fikri; Othman, Omar (American Scientific Publishers, 2011-04)
      Aromatic rice is a variety of rice with good cooking qualities such as nice aroma and flavour. It is pricier because it is only suitable to be cultivated in regions with specific climatic and soil conditions. Presently, ...
    • Electronic olfactory prototype of an automated malaise detection system for the agricultural industry 

      Abdul Hamid, Adom, Prof. Madya; Ali Yeon, Md. Shakaff, Prof. Dr.; Mohd Noor, Ahmad, Prof. Dr.; Abu Hassan, Abdullah; Shah Fenner Khan, Mohamad Khan; R. Badlishah, Ahmad, Dr.; Marni Aniza, Markom (Prince of Songkla University, 2007-05-10)
      The development of artificial olfactory systems, or electronic nose, for various applications has been on the rise due to their apparent benefits. The development and integration of electronic nose with other systems, ...
    • 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 ...
    • Identification of dynamic linear models of automotive palm bio-diesel engine for real-time speed control applications 

      Azuwir, Mohd Nor; Mohd Zaki, Ab. Muin, Prof. Dr.; Abdul Hamid, Adom, Prof. Madya Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2011-04-19)
      This paper describes the black-box modeling of automotive palm bio-diesel engine based on real-time data. The models derived are for the development of real-time self tuning speed controller purposes. Assuming a discrete ...
    • Improved classification of Orthosiphon stamineus by data fusion of electronic nose and tongue sensors 

      Ammar, Zakaria; Ali Yeon, Md. Shakaff, Prof. Dr.; Abdul Hamid, Adom, Assoc. Prof. Dr.; Mohd Noor, Ahmad; Maz Jamilah, Masnan; Abdul Hallis, Abd Aziz; Nazifah, Ahmad Fikri; Abu Hassan, Abdullah; Latifah Munirah, Kamarudin (MDPI Publishing, 2010-09-28)
      An improved classification of Orthosiphon stamineus using a data fusion technique is presented. Five different commercial sources along with freshly prepared samples were discriminated using an electronic nose (e-nose) and ...
    • Moving vehicle identification using artificial neural network 

      Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.; Abdul Hamid, Adom, Assoc. Prof. Dr.; Siti Marhainis, Othman; Sundararaj, Sathish Kumar (Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)
      Hearing impaired people cannot distinguish the sound from a moving vehicle approaching from their behind. They often face a risky situation while they are in outdoors. In this paper, a simple algorithm is proposed to ...
    • Moving vehicle noise classification using backpropagation algorithm 

      Norasmadi, Abdul Rahim; Paulraj, Murugesa Pandiyan, Assoc. Prof.; Abdul Hamid, Adom, Assoc. Prof. Dr.; Sundararaj, Sathishkumar (Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)
      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 ...
    • 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 ...
    • 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 ...