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This study investigates the performance of the Multilayer Perceptron (MLP) classifier in discriminating the qualities of agarwood oil significant compounds by different qualities based on three training algorithms namely Scaled Conjugate Gradient (SCG), Levernbergh-Marquardt (LM) and Resilient Backpropagation (RP) Neural Network by using Matlab version 2013a. The dataset used in this study were obtained...
This paper presents the modelling of agarwood oil (AO) significant compounds by different qualities using Scaled Conjugate Gradient (SCG) algorithm. This technique involved of data collection from Gas Chromatography-Mass Spectrometry (GC-MS) for compound extraction. The development of Multilayer perceptron (MLP) is used to discriminate the qualities of AO chemical compounds to the high and low quality...
In recent years, the demand for agarwood oil has increased tremendously. Agarwood oil is being used widely in fragrance, incense and religious ceremony. The quality of agarwood oil will determine the price of the oil. However, there are some limitations on using standard approach to classify its quality as they are time consuming, expensive and the results is questionable. This paper presents on the...
The development of FES-assisted exercise system is a challenging task due to the dynamic behavior of the muscular skeletal system. This paper presents the design of the cycle to cycle control technique based on the fuzzy logic control (FLC) algorithm for FES-assisted elliptical stepping exercise. The control aims to produce an appropriate FES stimulation signal for quadriceps muscle that actuates...
This research presents a preliminary study of human body electromagnetic radiation (EMR) for stroke patients. The stroke patients were divided into two categories: right and left hemisphere. A total number of 199 volunteers consisting of 84 right hemisphere and 115 left hemisphere stroke patients undertaking treatment participated in this experiment. The frequency readings were collected around the...
This preliminary study investigates human body electromagnetic radiation (EMR) for the stroke patients and non-stroke patients. The data in terms of frequency in hertz is collected at 23 points around the human body namely left side, right side and chakra points from 199 subjects undergoing post-stroke treatment and 100 non-stroke participants. The stroke patients were divided into two groups which...
This preliminary study investigates human body electromagnetic radiation (EMR) for the right hemisphere stroke patients based on their rehabilitation group which is categorized into advance, intermediate and early group. The data is collected at 16 points around the human body from 84 subjects undergoing stroke treatment. The statistical properties of human body radiation frequency are examined using...
This paper presents an analysis of Beta, Alpha, Theta and Delta sub bands of male stroke patients using electroencephalography (EEG). Brain signal from nine stroke patients has been obtained from Hospital Universiti Kebangsaan Malaysia (HUKM) from January until April 2014. There are difference brainwave compared to stroke subject and normal subject, with right and left hemisphere depending on which...
This paper presents an intelligent system for the classification of ischemic stroke severity. The application of Artificial Neural Network (ANN) is proposed in this study to classify ischemic stroke severity using EEG sub bands Relative Power Ratio (RPR). There were 100 subjects from National Stroke Association of Malaysia NASAM, Petaling Jaya, Selangor, Malaysia divided into Early Group (EG), Intermediate...
The goal of this project is design and develop an Automatic Rabbit Feeding System (ARFES) using PIC microcontroller. The smart system will help farmers to manage their rabbit feeding system become more systematic and convenient. ARFES targeted to function automatically using timer setting in microcontroller for a several days. ARFES divides into two main parts which are hardware development and software...
This paper presents emotional identification of 62 healthy subjects under Mobile Radio Frequency Radiation (MRFR). Electroencephalography (EEG) at awake and rest status with eyes closed, particularly on Alpha and Beta wave will be investigated. 31 subjects were strapped with mobile phone at the left ear, and name them as LE (Left Exposure) group, meanwhile, another 31 subjects were named as RE (Right...
The paper elaborates on the correlation analysis between the proposed EEG sub-band spectral centroid amplitude with the established band power features. The study involves recording of resting EEG from 40 healthy university students. Initially, the EEG is pre-processed for noise removal and filtered into delta, theta, alpha and beta waves using band-pass filters. Next, the sub-band power spectral...
This paper presents the investigation of ventilation effects towards temperature distribution in rabbit cage environment. The research involved simple ventilation mechanism, rabbit cage housing and temperature data logger. Ventilation is created by varying voltage supply of fan which is installed in rabbit housing. Data for temperature distribution then will be acquired using temperature data logger...
This paper presents the application of Discriminant Function Analysis (DFA) of stroke brainwave for ischemic stroke group level discrimination. The Relative Power Ratio (RPR) of stroke brainwave has been selected as an input for DFA. There were 100 subjects from National Stroke Association of Malaysia (NASAM), Petaling Jaya, Selangor, Malaysia divided into Advance Group (AG), Intermediate Group (IG)...
Research on gait is increasing among researchers and got worldwide attention. In order to explore and inspect the nature of variables and as part ongoing research in gait studies among children, this paper presents preliminary study of gait which is involved of analyses of several factors i.e. speed, gait cycle and leg length of male and female children. The analysis is performed using statistical...
This paper characterizes three different groups of stroke level and controlled group consists of healthy subject based on power spectrum density (PSD). In this study, the EEG data sets have been collected from hundred and thirty two subjects during closed eye (CE) session with a time frame approximately 8 minutes for each subject. They are divided into 4 groups which are Early Group (EG), Intermediate...
In this modern era, life is becoming more challenging and faster paced, where we are highly demanded with the complex needs of our daily life that requires more focus and efforts. Such daily needs will eventually lead us to stress if not handled properly. These negatives effects if go undiagnosed, can be fatal. However, it can be turned into positive effects if we know how to manage it. One way of...
The paper discusses on the effects of Hamming and equiripple filters in the extraction of EEG sub-band spectral centroid frequencies. A total of 40 healthy male subjects have participated in the study. EEG signal sub-bands were filtered using Hamming and equiripple filters with similar frequency response characteristics. It has been observed that the mean difference and variance is very small for...
It has been a long debate on conventional psychometric test as benchmark of individual's intelligence quotient (IQ). However, recent studies in a variety of neurophysiological researches have been done to link intelligence with individual's brainwave pattern. Hence this paper proposes an intelligent approach to classify IQ via brainwave sub-band power ratio and artificial neural network (ANN). Fifty...
This paper presents the development of FES-assisted abdominal exercise that specially designed for persons with neurological disorder such as stroke. A model of modified abs flex exercise equipment namely abdominal exercise ergometer and the humanoid models were developed using the dynamic simulation software. The body composition of the humanoid model is based on the anthropometric data. Based on...
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