Browsing Abdul Hamid Adom, Prof. Dr. by Title
Now showing items 35-54 of 98
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Development of Numerical Child Dummy model and the analysis of head impact criterion
(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 ... -
Development of solar powered automated fertigation controller for rock melon cultivation in natural ventilated green house
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)Production of vegetables and fruits in Malaysia using fertigation method been experiencing accelerated growth. Fertigation allow farmers to automatically deliver adequate nutrient quantity and concentration through drip ... -
Development of swarming algorithm for mobile robots
(Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)Swarming robots is basically a coordination of multirobot system which consists of a group of several simple robots that interacts which each other to complete certain tasks given. This paper presents a study of e-puck ... -
E-nose for basal stem rot detection
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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 ...