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Neural network based detection of voice disorders using energy spectrum and equal-loudness contours
(Universiti Teknologi MARA (UiTM), 2008-03-07)
Impairment of vocal function can have a major impact on the quality of life, severely limiting communication at work and affecting all social aspect of daily life. In the recent years, voice disease are increasing dramatically ...
A phoneme based sign language recognition system using interleaving feature and neural network
(Universiti Malaysia Perlis (UniMAP), 2012-02-27)
A sign language is a language which, instead of
acoustically conveyed sound patterns, uses visually transmitted
sign patterns. Sign languages are commonly developed in hearing
impaired communities, which can include ...
A physiological signal based approach on stress assessment through emotion, physical, and cognitive stimuli: A theoretical frame work
(Universiti Malaysia Perlis (UniMAP), 2012-02-27)
Stress is one of an unsteady state of human like uncontrolled machineries in industries. In order analysis effects of human stress, several studies have reported to identify the physiological and psychological variation ...
Mathematical model attitude estimation using Kalman filter technique for low earth orbit satellite
(Universiti Malaysia Perlis (UniMAP), 2012-02-27)
In space, the attitude analysis of a satellite is constantly being computed within the system of the satellite. In this paper, the linear mathematical model of the satellite attitude control with gravity gradient moment, ...
Mathematical modeling of human body for lifting task
(IEEE Conference Publications, 2012)
Physical lifting tasks commonly involve to types of body postures, namely, squat lifting and stoop lifting. Studies shows improper body posture during lifting task has detrimental effect to human lower-back region over ...
Implementing eigen features methods/neural network for EEG signal analysis
(Institute of Electrical and Electronics Engineers (IEEE), 2013-01)
This paper presented the possibility of implementing eigenvector methods to represent the features of electroencephalogram signal. In this study, three eigenvector methods were investigated namely Pisarenko, Multiple Signal ...
Methods and approaches on inferring human emotional stress changes through physiological signals: A review
(Universiti Malaysia Perlis (UniMAP), 2012-02-27)
Emotional stress is kind of stressful state which is developed due to the continuous occurrence of negative emotions such as sad, disgust, angry and fear over a long period of time. Under stressful condition, Autonomic ...
Geometrical effect on the behavior of circular and elliptic tubes under dynamic axial loading
(Universiti Malaysia Perlis (UniMAP), 2012-02-27)
A numerical investigation of circular and elliptic
tubes is performed under dynamic axial loading using non-
linear finite element code LS DYNA. The material of the
tubes is treated as piecewise linear ...
Classification of vehicle noise comfort level using feedforward neural network
(Universiti Malaysia Perlis (UniMAP), 2012-02-27)
Preemies birth monitoring using color detection method
(Elsevier B.V., 2012-03-10)
Administration of vaccines and nutritional supplements to baby or infant is mainly depends on their chronological age and weight. For examples, iron supplements and hepatitis B vaccine should be initiated when the baby is ...