Now showing items 55-74 of 98

    • 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 ...
    • 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 ...
    • Intelligent electronic nose system for basal stem rot disease detection 

      Marni Azira Markom; Ali Yeon, Md Shakaff; Abdul Hamid, Adom; Mohd Noor, Ahmad; Wahyu, Hidayat; Abu Hassan, Abdullah; N., Ahmad Fikrib (Elsevier, 2009-05)
      The agricultural industry has been, for a long time, dependent upon human expertise in using odour for classification, grading, differentiating and discriminating different types of produce. Odour as a parameter of ...
    • Intelligent vehicle fault diagnosis system using Neural Networks 

      Paulraj, Murugesapandian; Sazali, Yaacob; Nor Shaifudin, Abd Hamid; Hema, Chengalvarayan Radhakrishnamurthy (Universiti Teknologi MaraFaculty of Electrical Engineering, 2007-03-09)
      Diagnosis has become a very complex and critical task in determining the condition of vehicle engine. Sound emitted by the engine is always considered to be an annoying noise but a detaiedl analysis of the sound signal ...
    • An Intelligent Vision Based Domestic Waste Sorting System 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian, Assoc. Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Ramachandran, Nagarajan, Prof. Dr.; Abdul Hamid, Adom, Assoc. Prof. Dr.; R. Jaii Ganes Rangasamy; Maheswaran, Degarajan (School of Mechatronic Engineering, 2008-01-09)
      The Intelligent Vision Based Domestic Waste Sorting System is an automatic waste sorting system which use vision and infra red sensors to indentify paper and plastic. The system consists of a conveyor system to feed the ...
    • 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 ...
    • Model reference adaptive control with adaptive parametric black box controller 

      Nasim, Ahmed; Mohd Yusoff, Mashor, Prof. Dr.; Abdul Hamid, Adom, Prof. Madya Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2008-12-01)
      In this paper,a method for adapting conventional controller are used to adapt an Adaptive Parametric Black Box Controller (APBB). The APBB controller will be adapted such that the plant should follow a desired trajectory ...
    • Modeling a diesel engine 

      Azuwir, Mohd Noor; Mohd Zaki, Abdulmuin; Abdul Hamid, Adom; Y. N., Azmin; Mohd Sazli, Saad (Universiti Malaysia Perlis (UniMAP)Pejabat Timbalan Naib Canselor (Penyelidikan dan Inovasi), 2009-12)
    • 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 ...
    • 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 ...
    • Moving vehicle recognition and classification based on time domain approach 

      Paulraj, Murugesa Pandian, Dr.; Abdul Hamid, Adom, Prof., Dr.; Sundararaj, Sathishkumar; Norasmadi, Abdul Rahim (Malaysian Technical Universities Network (MTUN), 2012-11-20)
      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 ...
    • 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 ...
    • 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. ...
    • 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 ...
    • Navigation Of Mobile Robot Using Global Positioning System (GPS) And Obstacle Avoidance System With Commanded Loop Daisy Chaining Application Method 

      Mohamad Hanif, Abd Hamid; Abdul Hamid, Adom; Norasmadi, Abdul Rahim; Mohd Hafiz, Fazalul Rahiman (Institute of Electrical and Electronics Engineering (IEEE), 2009-03-06)
      Mobile robot has been a major role to the application in military, industrial and agricultural purposes. Mobile robot should navigate through desire route and avoid the obstacle within the path. Many researcher come with ...
    • Neuro-Fuzzy based motor imagery classification for a four class brain machine interface 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Sazali, Yaacob; Abdul Hamid, Adom; Ramachandran, Nagarajan (Universiti Malaysia Perlis, 2009-10-11)
      Brain Machine Interface (BMI) provides a digital link between the brain and a device such as a computer, robot or wheelchair. This paper presents a BMI design using Neuro-Fuzzy classifiers for controlling a wheelchair using ...