Browsing Azian Azamimi Abdullah by Title
Now showing items 8-27 of 33
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Design and development of an Emotional Stress Indicator (ESI) kit
(IEEE Conference Publications, 2012)Emotional Stress Indicator (ESI) kit is a wearable sensor device that used to measure the human stress level. Many people out there do not aware about their level of stress that will give a big impact in their life. So ... -
Design and development of Fuzzy Expert System for diagnosis of hypertension
(Institute of Electrical and Electronics Engineers (IEEE), 2011-01-24)The aim of this study is to design a Fuzzy Expert System (FES) for diagnosis of hypertension risk for patients aged between 20’s, 30’s and 40’s years and is divided into male and female gender. The input data is collected ... -
Design and development of Fuzzy Expert System for diagnosis of hypertension
(Institute of Electrical and Electronics Engineers (IEEE), 2011-01-24)The aim of this study is to design a Fuzzy Expert System (FES) for diagnosis of hypertension risk for patients aged between 20's, 30's and 40's years and is divided into male and female gender. The input data is collected ... -
Design of an automated breast cancer masses detection in mammogram using cellular neural network (CNN) algorithm
(American Scientific Publishers, 2014-01)An automation system using Cellular Neural Network (CNN) algorithm is proposed to assist the radiologists' task in interpreting the digital mammogram image for detecting the presence of breast masses abnormalities. Mammogram ... -
Design of an intelligent diagnostic system for detection of knee injuries
(Trans Tech Publications, 2013)Knee injuries is quite common in sport injuries and one of the most frequent happen are anterior cruciate ligament (ACL) knee injuries. There are two types of ACL injuries which are partial tear and complete tear. Currently ... -
Development of cellular neural network algorithm for detecting lung cancer symptoms
(Institute of Electrical and Electronics Engineers (IEEE), 2010-11-30)Lung cancer is the most common of lethal types of cancer. One of the most important and difficult tasks a doctor has to carry out is the detection and diagnosis of cancerous lung nodules from x-ray image's result. Some of ... -
Development of EEG-based epileptic detection using artificial neural network
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)Epilepsy is one of the most common neurological disorders causing from repeating brain seizures that are the result of the temporal and sudden electrical disturbance of the brain. Electroencephalogram (EEG) signal plays ... -
Diagnosis of bacteria for diabetic foot infection using electronic nose technology
(IEEE Computer Society, 2013)Foot infections may lead to serious complications if failed to detect at an early stage; especially for diabetic patients. It is necessary to develop an easy and reliable method to identify and classify the causative ... -
Gesture recognition based on bayesian inference of distributed arm trajectory
(American Scientific Publishers, 2014-01)The use of human gestures has become an important part of human-computer interaction (HCI) and is receiving more and more attentions in the recent years, which allows users to communicate with machines in the natural way, ... -
Image enhancement technique using partial contrast stretching on abnormal Bone Marrow images for Leukemia screening
(Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)Image Enhancement is a very useful pre-processing method that is implemented on biomedical images to eliminate poor contrast, thus improve interpretability for human’s vision. In Leukemia, the Bone Marrow generally ... -
Implementation of an improved cellular neural network algorithm for brain tumor detection
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)Image processing plays an important role in medical diagnosis. In this paper, a brain tumor detection method based on cellular neural networks (CNNs) is proposed. Brain tumor is an abnormal growth of cells inside the skull. ... -
Improving blast segmentation of acute myelogenous leukaemia (AML) images using bright stretching technique
(Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)Contrast enhancement and image segmentation techniques have fast becoming popular for computer vision and image processing area in the last few decades. In this paper, the combination between contrast enhancement and ... -
Internal model control for InnoSAT attitude control
(IEEE Conference Publications, 2011)This paper presents the results of Internal Model Control (IMC) for InnoSAT attitude control based on Neural Network (NN). IMC is composed of an inverse model connected in series with the plant and a forward model connected ... -
Multivariate prediction model for early detection and classification of bacterial species in diabetic foot ulcers
(Atlantis Press, 2014)Many diabetic patients eventually develop foot ulcers are at risk for further infection and subsequent amputation if they are not treated promptly. Hence, this study is focused on identifying wild type strain bacteria and ... -
On the chaotic nature of biological signals using nonlinear data analysis methodology
(Universiti Malaysia Perlis, 2009-10-11)In this study, we analyze the characteristic of biological signals using nonlinear data analysis methodology. Biological signals are not linear so to get a more accurate portrait of nonlinear signals, we must analyze them ... -
Performance comparisons of new excitation coil design aspects in Magnetic Induction Tomography (MIT) applications
(Institute of Electrical and Electronics Engineers (IEEE), 2011-01-24)Magnetic Induction Tomography (MIT) is a contactless method interested in conductivity properties of the object. In MIT system, excitation coil plays an important role since it generate primary field which then will propagate ... -
Preliminary study of pneumonia symptoms detection method using cellular neural network
(Institute of Electrical and Electronics Engineers (IEEE), 2011-06-21)Medical diagnosis is one of the most important procedure in which image processing are usefully applied. In this paper, a pneumonia symptoms detection method based on cellular neural networks (CNNs) is proposed. The CNN ... -
Rapid detection method of bacteria species on diabetic infected foot using E-Nose technology
(Universiti Sains Malaysia, 2012-07-17)The technology is about foot diabetic detection method by using array based sensor technology which is the odor measurement release by the bacteria. This odorus is known as the bio-marker can be used to differentiate the ... -
Rapid detection method of bacteria species on diabetic infected foot using E-Nose technology
(Macao Innovation & Invention Association, 2012-06-29)Array based gas sensor technology namely Electronic Nose (E-nose) and Gas Chromatography-Mass Spectrometry (GC-MS) proposed for a rapid and a robust analytical approach for odour measurement especially for a medical use. -
Rapid identification method of aerobic bacteria in diabetic foot ulcers using electronic nose
(American Scientific Publishers, 2014-01)Diabetic foot ulcer (DFU) is an infection, ulcer or destruction of deep tissue associated with neurological abnormalities, musculoskeletal deformities and various degrees of peripheral vascular disease of lower limb. In ...