The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Agarwood oils are extracted from low grade agarwood chips which are commonly processed via distillation. They can be obtained from various Aquilaria species such as A. malaccensis, A. hirta and A. crassna. This viscous oil is called as pure agarwood essential oil (100% of extracted material). Commonly, the oils are releasing long-lasting woody, warm and smoky scent due to slow release when applied...
This paper describes the performance of a commercial AlphaMOS 4000 Electronic Nose coupled with Discriminant Factorial Analysis (DFA) as statistical tool used in discriminating the differences between pure and mixture agarwood oils by their volatile properties. The proposed techniques in this paper for testing and evaluating the capability of E-Nose for classifying and testing two different groups...
One of the key factors to understand and find solutions for any challenge related to Water Distribution System(WDS) is begin from understanding the behaviors of its variables under specific circumstances, in this paper various experiments are conducted to figure out and analyze the effects of leakage on the variables of WDS, i.e. pressure, pipe volume, velocity, water demands and flow. The results...
EEG signal research had been studied massively in such balanced brain and IQ applications. This paper focuses on correlation between balanced brain and Intelligence Quotient (IQ) applications. At first, the raw EEG signals from both applications need to pre-process to remove artefact and unwanted frequency. Then, the EEG signals will go through statistical processes which are Scatterplot and Correlation...
The term intelligence is associated in many areas such as linguistic, mathematical, music and art. In this paper, Intelligence Quotient (IQ) is measured using Electroencephalogram (EEG) from the human brain. The EEG signals are then used to form the spectrogram images, from which a large data of Gray Level Co-occurrence Matrix (GLCM) texture features were extracted. Then, Principal Component Analysis...
Music has been known to improve learning and cognition. The ways in which musicians think and perform have increasingly become subjects of interest to scientists particularly in light of advances in neuroscience research. This study examines the brainwave activity of a group of violinists as they perform. Using electroencephalography (EEG), the left and right brainwaves of the musicians were recorded...
This paper presents a non-parametric method to produce stress index using Electroencephalogram (EEG) signals. 180 EEG datasets from healthy subjects were evaluated at two cognitive states; resting state (Eyes Closed) and working state (Eyes Open). In working cognitive state, subjects were asked to answer the Intelligence Quotient (IQ) test questions. The EEG datasets were categorized into 4 groups...
Students' Learning Style (LS) had been recognized as a major component in a teaching and learning. The successful execution of teaching and learning could be improved by taking into consideration the students' LS. On the other hand, Vigilance or sustained attention is a personality trait that student should possess in order to experience quality learning. In this research, the Kolb's Learning Style...
Students Learning Style (LS) and Personality Traits have been considered as a major components in education domain. The success of teaching and learning could be enhanced by considering the learners' preferred LS. On the other hand, Neuroticism is one of the traits that could shed some light on the learners' well-being. In this study, the participants' LS and Neuroticism attribute were investigated...
This paper investigates the difference between the left and the right brainwaves for delta and theta frequency band after horizontal rotation (HR) intervention using electroencephalography (EEG). The EEG signals were captured from the samples before and after under-going HR. The artifact of the EEG signals was removed automatically by means of a program designed to eliminate data above 100 micro volts...
In this research, Wireless EEG equipment via Bluetooth technology named g-Mobilab was used to measure the brainwave signals in the right and left frontal area of the brain. The recorded EEG signals were channelled into an automatic artifact removal analysis whereby signals above values of 100 micro-volts were removed by means of a program using Matlab. Consequently, Power Spectral Density techniques...
This paper presents a results of designing an intelligent system to evaluate human stress level using Electroencephalogram (EEG) signals and Psychoanalysis tests. The questionnaires for Psychoanalysis tests were created based on Cohen's Perceived Stress Scale (PSS). EEG signals were captured using wireless EEG equipment. The Graphical User Interface (GUI) for the Psychoanalysis tests and EEG signals...
Learning style had become an importance researched subject for understanding how individual learns. Apart from that, personality traits such as emotions, moods and self-motivation of the learners were also being actively studied. In this research, the learners' learning style and their personality traits were investigated by Electroencephalogram (EEG) Frontal Asymmetry. First, The participants (N=41)...
This paper presents the combination of electroencephalogram (EEG) power spectrum ratio and Spectral Centroids techniques to extract unique features for human stress from EEG signals. The combination of these techniques was able to improve the k-NN (k-Nearest Neighbor) classifier accuracy to detect and classify human stress from two cognitive states, Close-eye (CE) and Open-eye (OE). The EEG power...
The learning style eloquence had garnered increase influence in education field. Simultaneously educationist also taking great interest on blending neuroscience research in their work, hence the Brain-based Learning and Brain-based Education are among the terms which had been geared into limelight recently. By taking into account, that learners' learning style is crucial in succeeding the learning...
Study on the affiliation of the EEG alpha waves and theta waves during relaxation state and IQ test state from sixteen college students has been carried out in this paper. The alpha waves and theta waves are very much related to the relaxation and concentration respectively. By using data segmentation and linear regression techniques, power changes in alpha band and theta band are plotted. It is revealed...
This paper presents a results of a study to investigate the relationship between Intelligence Quotient (IQ) of humans with their Electroencephalogram (EEG) Spectrum Power in term of the correlation of Beta and Alpha band power. The EEG was recorded from 50 subjects with 21 males and 29 females (mean of age = 23.16, SD = 3.8) for two tasks; closed-eyes (doing nothing in relax state) and IQ test. The...
The main focus of this research is to analyze EEG signal of smokers after undergoing Horizontal Rotation (HR) treatment. 21 male smokers were sampled in this study. EEG data was captured before and after HR for 5 sessions. In addition, some demographic data were gathered from the samples to check their smoking habits. It was found that, HR significantly improves the Alpha band that could reduce the...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.