Browsing Abdul Hamid Adom, Prof. Dr. by Author "Abdul Hamid, Adom"

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    • Active stereo vision based system for estimation of Mobile Robot Orientation using composition matrix 

      Paulraj, Murugesapandian; Fadzilah, Hashim; R. Badlishah, Ahmad; Hema, Chengalvarayan Radhakrishnamurthy; Abdul Hamid, Adom (Universiti Malaysia Perlis, 2009-10-11)
      The computation of a mobile robot position and orientation is a common task in the area of computing vision and image processing. For a successful application, it is important that the position and orientation of a mobile ...

    • Assessment of Functional and Dysfunctional on Implant Stability Measurement for Quality of Life 

      Norshahrizan, Nordin; Mohd Mustafa Al Bakri, Abdullah; Fauziah, Mat; Muhammad, Abdullah; Razli, Che Razak; Abdul Hamid, Adom (EDP Sciences, 2017)
      This study was conducted to investigate the effect of an implant wearer comprising among orthopedic patients as well as the use of implant dentistry in Northern Malaysia. A total of 100 questionnaires were distributed and ...

    • Brain machine interface based wheelchair control with minimal subject training 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Sazali, Yaacob; Abdul Hamid, Adom; Ramachandran, Nagarajan (Universiti Malaysia Perlis, 2009-10-11)
      Wheelchair control using a Brain Machine Interface based on motor imagery requires adequate subject training. In this paper we propose a new algorithm for a brain machine interface design which is implemented in real-time ...

    • Brain machine interface: A comparison between fuzzy and neural classifiers 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Ramachandran, Nagarajan; Sazali, Yaacob; Abdul Hamid, Adom (ICIC International, 2009)
      Patients with neurodegenerative disease loose all motor movements including impairment of speech, leaving the patients totally locked-in. One possible option for rehabilitation of such patients is through a brain machine ...

    • Brain machine interface: motor imagery recognition with different signal length representations 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Sazali, Yaacob; Abdul Hamid, Adom; Ramachandran, Nagarajan (Institute of Electrical and Electronics Engineering (IEEE), 2009-03-06)
      This work investigates how signal representations affect the performance of a motor imagery recognition system, specifically we investigate on recognition accuracy and computational time of a brain machine interface designed ...

    • Design and Fabrication of Biodegradable Microneedle Using 3D Rapid Prototyping Printer 

      Nur Hazwani Azyan, Mansor; Marni Azira, Markom; Erdy Sulino, Mohd Muslim Tan; Abdul Hamid, Adom (IOP Publishing, 2019)
      Microneedle is known as transdermal drug delivery (TDD) devices that uses to deliver biological fluid into veins and needle that use to tear skin to collect blood sample. It involves with various parameters and designs. ...

    • 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 ...

    • Development of intelligent portable electronic nose 

      Abu Hassan, Abdullah; Abdul Hamid, Adom; Ali Yeon, Md Shakaff; Mohd Noor, Ahmad; A., Zakaria; Marni Azira, Markom; E.S., Tan; N.A., Fikri; Rakhmad Arief, Siregar; Mahamad Akmal, Saad (Universiti Malaysia Perlis, 2009-10-11)
      An electronic nose is a device that is able to perform electronic olfactory as a substitute to human experts. It is able to overcome the disadvantages of using human, such as fatigue and inconsistencies, as well as to ...

    • 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, ...

    • Development of Numerical Child Dummy model and the analysis of head impact criterion 

      Mohamad Sulaiman, Ibrahim; Rakhmad Arief, Siregar; Abdul Hamid, Adom; Shah Fener Khan; Hafizawati, Zakaria (Universiti Malaysia Perlis, 2009-10-11)
      This paper presents a development of numerical child dummy model and head impact criterion analysis of the numerical child dummy model. The model was developed using flexible component for crucial parts such as neck and ...

    • E-nose for basal stem rot detection 

      Ali Yeon, Md Shakaff, Prof. Dr.; Mazlee Noor, Ahmad. Dr.; Marni Azira, Markom; Abdul Hamid, Adom; Wahyu, Hidayat; Abu Hassan, Abdullah; N., Ahmad Fikri (Universiti Malaysia Perlis (UniMAP)Pejabat Timbalan Naib Canselor (Penyelidikan dan Inovasi), 2009-07)
      An electronic nose is an intelligent device, able to mimic human olfaction functions and may be used for detection, recognition and classification of volatile compounds and odours. An e-nose consists of an array of ...

    • 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, ...

    • 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 ...

    • The effect of ASI (Acceleration Severity Index) to different crash velocities 

      Rahmad P, Nasution; Rakhmad Arief, Siregar; Khairul, Fuad; Abdul Hamid, Adom (Universiti Malaysia Perlis, 2009-10-11)
      Vehicle crash can causes severe injuries to the occupant of the vehicle. These injuries can be measured. The injury measurement is intended to insure minimum safety levels in severe crashes. There are several types of ...

    • 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 ...

    • 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 ...

    • Functional link PSO neural network based classification of EEG mental task signals 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Sazali, Yaacob; Abdul Hamid, Adom; Nagarajan, Ramachandran (Institute of Electrical and Electronics Engineering (IEEE), 2008-08-26)
      Classification of EEG mental task signals is a technique in the design of Brain machine interface [BMI]. A BMI can provide a digital channel for communication in the absence of the biological channels and are used to ...

    • 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 ...

    • 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 ...

    • 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)