Abdul Hamid Adom, Prof. Dr.: Recent submissions

Now showing items 61-80 of 98

    • 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.

    • Numerical analysis of dummy neck for crashworthiness assessment 

      Mohamad Sulaiman, Ibrahim; Rakhmad Arief, Siregar, Dr.; Abdul Hamid, Adom, Assoc. Prof. Dr.; Khan, Shah Fener; Hafizawati, Zakaria (Universiti Malaysia Pahang (UMP), 2009-06-20)
      This paper presents an analysis of numerical child dummy neck and neck injury analysis of the numerical child dummy neck. The neck model is developed using flexible component and rigid body. As for the geometries of ...

    • 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 ...

    • 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 ...

    • Classification of agarwood oil using an electronic nose 

      Wahyu, Hidayat; Ali Yeon, Md Shakaff, Prof. Dr.; Mohd Noor, Ahmad, Assoc. Prof. Dr.; Abdul Hamid, Adom, Assoc. Prof. Dr. (MDPI Publishing, 2010-05-06)
      Presently, the quality assurance of agarwood oil is performed by sensory panels which has significant drawbacks in terms of objectivity and repeatability. In this paper, it is shown how an electronic nose (e-nose) may be ...

    • Bimodal Rehabilitation for the Voice and Movement Impaired using Brain Signals 

      Hema, C. R.; Paulraj, M. P., Assoc. Prof. Dr.; Sazali, Yaacob, Prof.; Abdul Hamid, Adom, Assoc. Prof. Dr.; Nagarajan, Prof.; Leong, Shi Wei; Erdy Sulino, Mohd Muslim Tan; Ahmad Zulfadli, Musa; Farid, Affendi (Universiti Malaysia Perlis, 2009-01-07)
      The Bimodal Rehabilitation for the Voice and Movement Impaired using Brain Signals is a device which can help the paralyzed patients to communicate through a digital voice and also to drive a robot chair within their homes ...

    • 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 ...

    • Voiceless Voice : An Itelligent Communication System For Physically Retarded Communities 

      Paulraj, M. P., Prof. Madya Dr.; Sazali, Yaacob, Prof. Dr.; Abdul Hamid, Adom, Assoc. Prof. Dr.; Hema, C. R.; Natraj, Sathees Kumar; Purushothaman, Divakar; Erdy Sulino, Mohd Muslim Tan (Malaysia Association of Research Scientists (MARS), 2010-02-04)
      The system can be easily custom designed for a physically impaired person. The system can be installed on any commercial powered computer or a laptop. Our product is cost effective compared to the cost of hiring care givers ...

    • A Biometric Authentication System Using Brain Signatures 

      Hema, C. R.; Paulraj, M. P., Assoc. Prof. Dr.; Sazali, Yaacob, Prof. Dr.; R., Nagarajan, Prof. Dr.; Abdul Hamid, Adom, Assoc. Prof. Dr.; Adzizul Adzlan, Osman; Leong, Shi Wei; Mohd Ridhwan, Rashid (Universiti Malaysia Perlis, 2010-01-07)
      The Biometric Authentication system comprises of an acquisition unit, a processing unit and a display unit. Signal Processing and Artificial Intelligence is used to process the brain signatures collected through EEG ...

    • Voiceless Voice : An Intelligent Communication System for Physically Retarded Communities 

      Paulraj, M. P., Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Abdul Hamid, Adom, Assoc. Prof. Dr.; Hema, Chengalvarayan Radhakrishnamurthy; Sathees, Kumar; Nataraj; Divakar, Purushothaman; Erdy Sulino, Muslim Tan (Universiti Malaysia Perlis, 2010-01-07)
      The Intelligent Voiceless communication is a device which can help the physically retarded peoples to communicate with the outside world by using their brain signals. Our product makes use of the active brain functions of ...

    • 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, ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • Recognition of motor imagery of hand movements for a BMI using PCA features 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Sazali, Yaacob; Abd Hamid, Adom; Ramachandran, Nagarajan (Institute of Electrical and Electronics Engineering (IEEE), 2008-12-01)
      Motor imagery is the mental simulation of a motor act that includes preparation for movement and mental operations of motor representations implicitly or explicitly. The ability of an individual to control his EEG through ...

    • 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 ...

    • 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 ...

    • Single trial motor imagery classification for a four state brain machine interface 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Sazali, Yaacob; Abdul Hamid, Adom; Ramachandran, Nagarajan (Institute of Electrical and Electronics Engineering (IEEE), 2009-03-06)
      Motor imagery is the mental simulation of a motor act which can be used to design brain machine interfaces [BMI]. A BMI is a digital communication system, which connects the human brain directly to an external device ...