Browsing Abdul Hamid Adom, Prof. Dr. by Title
Now showing items 1-20 of 98
-
Active stereo vision based system for estimation of Mobile Robot Orientation using composition matrix
(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 ... -
Adaptive boosting with SVM classifier for moving vehicle classification
(Malaysian Technical Universities Network (MTUN), 2012-11-20)This study examines co-solvent modified supercritical carbon dioxide (SC-CO2) to extract the saturated fatty acids from palm oil. The applied pressure was ranging from 60 to 180 bar and the extraction temperatures were ... -
Adaptive boosting with SVM classifier for moving vehicle classification
(Elsevier Ltd, 2013)This study examines co-solvent modified supercritical carbon dioxide (SC-CO2) to extract the saturated fatty acids from palm oil. The applied pressure was ranging from 60 to 180 bar and the extraction temperatures were ... -
Application-specific multichannel EEG data acquisition system for portable biomedical application
(Malaysian Technical Universities Network (MTUN), 2012-11-20)This paper presents the design and construction of a low power application-specific EEG bio-potential multichannel amplifier with high common mode rejection ratio (CMRR) and high input impedance. The bio-potential amplifier ... -
AromaSens
(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. -
Aromasens: Electronic Nose for Tropical Fruit Maturity Assessment
(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 ... -
Assessment of Functional and Dysfunctional on Implant Stability Measurement for Quality of Life
(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 ... -
Asynchronous brain machine interface-based control of a wheelchair
(Springerlink, 2011)A brain machine interface (BMI) design for controlling the navigation of a power wheelchair is proposed. Real-time experiments with four able bodied subjects are carried out using the BMI-controlled wheelchair. The BMI is ... -
Bacteria classification using electronic nose for diabetic wound monitoring
(Trans Tech Publications, 2013)Array based gas sensor technology namely Electronic Nose (E-nose) now offers the potential of a rapid and robust analytical approach to odor measurement for medical use. Wounds become infected when a microorganism which ... -
Bimodal Rehabilitation for the Voice and Movement Impaired using Brain Signals
(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 ... -
Bio-inspired vision fusion for quality assessment of harumanis mangoes
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-08)The perceived quality of fruits, such as mangoes, is greatly dependent on many parameters such as ripeness, aroma, firmness, shape, size, and is influenced by other factors such as harvesting time. Unfortunately, a manual ... -
A Biometric Authentication System Using Brain Signatures
(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 ... -
BMI using spectral energy entropy for colour visual tasks
(Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)EEG signals are the electrophysiological measures of brain function and it is used to develop a Brain machine Interface. A Brain machine Interface (BMI) system is used to provide a communication and control technology ... -
Brain machine interface based wheelchair control with minimal subject training
(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 for physically retarded people using colour visual tasks
(IEEE Conference Publications, 2010-05)A Brain Machine Interface is a communication system which connects the human brain activity to an external device bypassing the peripheral nervous system and muscular system. It provides a communication channel for the ... -
Brain machine interface: A comparison between fuzzy and neural classifiers
(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: Analysis of segmented EEG signal classification using short-time PCA and recurrent neural networks
(University of Basrah, 2008)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 ... -
Brain machine interface: classification of mental tasks using short-time PCA and recurrent neural networks
(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 ... -
Brain machine interface: motor imagery recognition with different signal length representations
(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 ... -
Classification of acoustic sound signature of moving vehicle using artificial neural network
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)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 ...