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Recognition of facial expression using neural network
(Universiti Malaysia Perlis (UniMAP), 2010-10-16)
In this paper, we attempted to recognize facial expression by using Haar-like feature extraction method. A set of luminance stickers were fixed on subject’s face and the subject is instructed to perform required facial ...
BMI using spectral energy entropy for colour visual tasks
(Universiti Malaysia Perlis (UniMAP), 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 ...
Model reference adaptive neuro-controller based on HMLP network
(Universiti Malaysia Perlis (UniMAP), 2010-10-16)
In this paper, an Adaptive Neuro-Controller (ANC)
based on HMLP Network is proposed as an alternative to
a conventional adaptive controller. The ANC will be
adapted such that the plant should follow a desired
output, ...
Classroom speech intelligibility prediction using Elman neural network
(Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)
A study was conducted to develop a simple system for
classrooms speech intelligibility prediction. In this study, several
classrooms properties such as size, signal-to-noise ratio (SNR)
and Speech Transmission Index ...
A phoneme based sign language recognition system using skin color segmentation
(Institute of Electrical and Elctronics Engineering (IEEE), 2010-05-21)
A sign language is a language which, instead of
acoustically conveyed sound patterns, uses visually transmitted
sign patterns. Sign languages are commonly developed for deaf
communities, which can include interpreters, ...
Vehicle noise comfort level indication: A psychoacoustic approach
(Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)
Nowadays, the studies and researches related to the improvement of the passenger
comfort in the car are carried out vigorously. The comfort in the car interior is already
become a need for the passengers and the buyers. ...
Principle component analysis (PCA) based coin-counting system
(Universiti Malaysia Perlis (UniMAP), 2010-06-02)
In this paper, a neural network using a feature extraction scheme known as principle component analysis (PCA) is proposed to recognize two-dimensional objects in an image. This approach consists of two stages. First, the ...
A hybrid intelligent algorithm for solving the bilevel programming models
(Springer-Verlag, 2010)
In this paper, genetic algorithm (GA) and neural network (NN) are integrated to produce a hybrid intelligent algorithm for solving the bilevel programming models. GA is used to select a set of potential combination from ...