Now showing items 38-57 of 98

    • 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 ...
    • 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) ...
    • 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 ...
    • The effect of high loading rate to tensile strength for mild steel by using Hopkinson Bar technique 

      Mohd Shahiddin, Suhadi; Rakhmad Arief, Siregar; Shah Fenner Khan; Ahmad Yusri; Abd Hamid, Adom (Universiti Malaysia Perlis, 2009-10-11)
      This paper presents the effect of high strain rate loading to tensile strength for mild steel by using Hopkinson bar technique. The behavior of material at high strain rates is important for application such as structural ...
    • 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 ...
    • 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 ...
    • The Feasibility Study of Utilising Electronic Nose and ANN for Plant Malaise Detection 

      Marni Azira, Markom; Ali Yeon, Md Shakaff, Prof. Dr.; Abdul Hamid, Adom, Assoc. Prof. Dr.; Mohd Noor, Ahmad, Prof. Dr.; Abu Hassan, Abdullah (Universiti Malaysia Perlis (UniMAP), 2008-03-15)
      The agricultural industry has been,for a long time, dependent upon human expertise in using odour for classification, grading, differentiating and discriminating different typesof produce. Odour was also used to determine ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...