Browsing Abdul Hamid Adom, Prof. Dr. by Title
Now showing items 48-67 of 98
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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 ... -
Identification of dynamic linear models of automotive palm bio-diesel engine for real-time speed control applications
(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
(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
(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 ... -
Improving classification of EEG signals for a four-state brain machine interface
(Institute of Electrical and Electronics Engineers (IEEE), 2012)Neural network classifiers are one among the popular modes in the design of classifiers for electroencephalograph based brain machine interfaces. This study presents algorithms to improve the classification performance of ... -
Intelligent electronic nose system for basal stem rot disease detection
(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 ... -
Intelligent vehicle fault diagnosis system using Neural Networks
(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 ... -
An Intelligent Vision Based Domestic Waste Sorting System
(School of Mechatronic Engineering, 2008-01-09)The Intelligent Vision Based Domestic Waste Sorting System is an automatic waste sorting system which use vision and infra red sensors to indentify paper and plastic. The system consists of a conveyor system to feed the ... -
Malay speech recognition in normal and noise condition
(Institute of Electrical and Electronics Engineers (IEEE), 2012-03)Automatic speech recognition (ASR) is an area of research which deals with the recognition of speech by machine in several conditions. ASR performs well under restricted conditions (quiet environment), but performance ... -
Model reference adaptive control with adaptive parametric black box controller
(Institute of Electrical and Electronics Engineers (IEEE), 2008-12-01)In this paper,a method for adapting conventional controller are used to adapt an Adaptive Parametric Black Box Controller (APBB). The APBB controller will be adapted such that the plant should follow a desired trajectory ... -
Modeling a diesel engine
(Universiti Malaysia Perlis (UniMAP)Pejabat Timbalan Naib Canselor (Penyelidikan dan Inovasi), 2009-12) -
Moving vehicle detection using time domain statistical features
(Trans Tech Publications, 2014)The Hearing Impaired People (HIP) cannot distinguish the sound from a moving vehicle approaching from their behind. Since, it is difficult for hearing impaired to hear and judge sound information and they often encounter ... -
Moving vehicle identification using artificial neural network
(Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)Hearing impaired people cannot distinguish the sound from a moving vehicle approaching from their behind. They often face a risky situation while they are in outdoors. In this paper, a simple algorithm is proposed to ... -
Moving vehicle noise classification using backpropagation algorithm
(Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)The hearing impaired is afraid of walking along a street and living a life alone. Since it is difficult for hearing impaired to hear and judge sound information and they often encounter risky situations while they are in ...