Browsing Abdul Hamid Adom, Prof. Dr. by Issue Date

Now showing items 1-20 of 98

    • A feasibility study of using an Electronic Nose as a fruit ripeness measuring instrument 

      Siti Nordiyana, Md Salim; Ali Yeon, Md Shakaff; Mohd Noor, Ahmad; Abdul Hamid, Adom (Kolej Universiti Kejuruteraan Utara Malaysia, 2005-05-14)
      This paper presents the study of using an artificial olfactory system as a nondestructive instrument to measure fruit ripeness. The cultivar chosen for this study is Harumanis mango. This system comprises of an array of ...

    • Supervisory fuzzy learning control for underwater target tracking 

      Kia, Chua; Arshad, Mohd Rizal; Adom, Abd Hamid; Wilson, Philip A. (World Academy of Science, Engineering and Technology, 2005-06)
      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 ...

    • 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 ...

    • Aromasens: Electronic Nose for Tropical Fruit Maturity Assessment 

      Ali Yeon, Md Shakaff, Prof. Dr.; Mohd Noor, Ahmad, Prof. Dr.; Abdul Hamid, Adom, Assoc. Prof. Dr.; Siti Nordiyana, Md Salim; Zulkifli, Husin (Kementerian Pengajian Tinggi Malaysia (KPTM), 2005-09-30)
      AromaSens is an intelligent portable device, which can be used to determine stages of tropical fruits ripeness using its aroma. This device comprises of an array of semiconductor gas sensors, as well as data acquisition ...

    • AromaSens 

      Ali Yeon, Md Shakaff, Prof. Dr.; Abd Hamid, Adom, Assoc. Prof. Dr.; Mohd Noor, Ahmad, Prof. Dr. (Malaysian Invention & Design Society (MINDS), 2005-11-19)
      AromaSens is an intelligent portable device, which can be used to determine stages of harumanis mango ripeness using its aroma.

    • Ganobuster: Novel, Easy, and Clean Basal Stem Rot Detection System of the Palm Oil Trunk 

      Ali Yeon, Mohd Shakaff, Prof. Dr. (Principal); Mohd Noor, Ahmad, Prof. Dr.; Mohamed Zulkali, Mohamed Daud, Prof. Madya Dr.; Abdul Hamid, Adom, Prof. Madya Dr.; Abu Hassan, Abdullah; Farizul Hafiz, Kasim; Ahmad Faizal; Shah Fenner Khan; Anas, Mohd Noor; Norahim, Ibrahim; Noor Hasyierah, Mohd Salleh; Marni Azira, Markom (Malaysian Invention and Design Society (MINDS), 2006-05-19)
      The technology incorporates multi-disciplinary inputs in which data captured through the use of versatile sensors are analyzed using artificial neural networks(ANN) to be translated and presented into profiles considered ...

    • A design of Omni-Directional for Mobile Robot 

      Jefri Efendi, Mohd Salih; Mohamedd Rizon, Mohamed Juhari; Sazali, Yaacob; Abdul Hamid, Adom (Kolej Universiti Kejuruteraan Utara Malaysia, 2006-06-15)
      This paper presents the processes undertaken in the design and development of an intelligent omni-directional mobile robot using four custom-made mecanum wheels. The mecanum wheel developed consists of nine rollers made ...

    • 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 ...

    • Fabrication of a Hand-held Electronic Nose 

      Marni Azira, Markom; Ali Yeon, Md Shakaff; Abdul Hamid, Adom; Mohd Noor, Ahmad; Abu Hassan, Abdullah (Universiti Malaysia Perlis, 2007)
      An electronic nose is a device that performs the electronic olfactory to substitute human experts. The development of these devices is growing faster due to higher demand. However, current electronic noses usually are very ...

    • Development of Low Cost Electronic Nose 

      Marni Azira, Markom; Ali Yeon, Md Shakaff; Abdul Hamid, Adom; Nazifah, Ahmad Fikri; Shah Fenner Khan; Abu Hassan, Abdullah; Che Muhammad Nor, Che Isa (Universiti Malaysia Perlis, 2007)
      The development of electronic noses have been on the rise due to their apparent benefits as it has been proved to solve many problems which is included food quality control, environmental monitoring and etc. However, ...

    • 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 ...

    • 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, ...

    • Ganobuster: Novel, Easy, and Clean Basal Stem Rot Detection System of the Palm Oil Trunk 

      Ali Yeon, Mohd Shakaff, Prof. Dr. (Principal); Mohd Noor, Ahmad, Prof. Dr.; Mohamed Zulkali, Mohamed Daud, Prof. Madya Dr.; Abdul Hamid, Adom, Prof. Madya Dr.; Abu Hassan, Abdullah; Farizul Hafiz, Kasim; Ahmad Faizal; Shah Fenner Khan; Anas, Mohd Noor; Norahim, Ibrahim; Noor Hasyierah, Mohd Salleh; Marni Azira, Markom (INPEX, 2007-06-06)
      The technology incorporates multi-disciplinary inputs in which data captured through the use of versatile sensors are analyzed using artificial neural networks (ANN) to be translated and presented into profiles considered ...

    • Brain machine interface: classification of mental tasks using short-time PCA and recurrent neural networks 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Sazali, Yaacob; Abd Hamid, Adom; Ramachandran, Nagarajan (Institute of Electrical and Electronics Engineering (IEEE), 2007-11-25)
      Brain machine interface provides a communication channel between the human brain and an external device. Brain interfaces are studied to provide rehabilitation to patients with neurodegenerative diseases; such patients ...

    • Fuzzy based classification of EEG mental tasks for a brain machine interface 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Ramachandran, Nagarajan; Sazali, Yaacob; Abdul Hamid, Adom (Institute of Electrical and Electronics Engineers (IEEE), 2007-11-28)
      Patients with neurodegenerative diseases loose all motor movements including impairment of speech, leaving the patients totally locked-in. One possible option for rehabilitation of such patients is using a brain machine ...

    • EEG classification using radial basis PSO neural network for brain machine interfaces 

      Paulraj, Murugesapandian; Hema, Chengalvarayan Radhakrishnamurthy; Ramachandran, Nagarajan; Sazali, Yaacob; Abdul Hamid, Adom (Institute of Electrical and Electronics Engineering (IEEE), 2007-12)
      Brain Machine Interfaces use the cognitive abilities of patients with neuromuscular disorders to restore communication and motor functions. At present, only EEG and related methods, which have relatively short time constants, ...

    • Brain machine interface: Analysis of segmented EEG signal classification using short-time PCA and recurrent neural networks 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesa Pandiyan, Assoc. Prof.; Nagarajan, Ramachandran, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Abdul Hamid, Adom, Prof. Madya (University of Basrah, 2008)
      Brain machine interface provides a communication channel between the human brain and an external device. Brain interfaces are studied to provide rehabilitation to patients with neurodegenerative diseases; such patients ...

    • EEG signal classification using Particle Swarm Optimization (PSO) neural network for brain machine interfaces 

      Paulraj, Murugesapandian; Hema, Chengalvarayan Radhakrishnamurthy; Ramachandran, Nagarajan; Sazali, Yaacob; Abdul Hamid, Adom (Association for the Advancement of Modelling & Simulation Techniques in Enterprises (A.M.S.E.), 2008)
      The brain uses the neuromuscular channels to communicate and control its external environment, however many disorders can disrupt these channels. Amyotrophic lateral sclerosis is one such disorder which impairs the neural ...

    • Development of Autonomous and Semi Autonomous Mobile Robot Platform for Multiple Sensing Applications 

      Abdul Hamid, Adom, PM Dr.; Sazali, Yaacob, Prof. Dr. (School of Mechatronic Engineering, 2008-01-09)
      For access control, surveillance and gas or early fire detection.

    • Development of Low Cost Mobile Robot for Engineering and Technology Education 

      Abdul Hamid, Adom, PM Dr.; Jefri Effendi, Mohd Salih (School of Mechatronic Engineering, 2008-01-09)
      Use for education purposes. Expose student to robot design, robot building, hardware/software inter facing and robot innovation.