Search
Now showing items 31-40 of 47
Object detection using geometric invariant moment
(Science Publications, 2006)
Geometric moment invariant produces a set of feature vectors that are invariant under
shifting, scaling and rotation. The technique is widely used to extract the global features for pattern
recognition due to its ...
Statistical time energy based damage detection in steel plates using artificial neural networks
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)
In this paper, a simple method for crack identification in steel plates based on statistical time energy is presented. A simple experimental procedure is also proposed to measure the vibration at different positions of a ...
Classification of vowel sounds using MFCC and feed forward neural network
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)
The English language as spoken by Malaysians varies from place to place and differs from one ethnic community and its sub-group to another. Hence, it is necessary to develop an exclusive Speech to text translation system ...
Identification of vocal and voice disorders
(Universiti Malaysia Perlis (UniMAP), 2007-10-25)
The discrimination of normal and pathological voices using noninvasive acoustic analysis helps to perform accurate identification of voice disorders and diagnoses of vocal and voice disease. Acoustic analysis is a non- ...
On stereo processing procedure applied towards blind navigation aid - SVETA
(Institute of Electrical and Electronics Engineering (IEEE), 2005)
This paper presents a portable traveling support system using stereo image processing for the visually impaired people's navigation. This system named as SVETA consists of a helmet molded with stereo cameras in the front, ...
Face recognition using eigenfaces and neural networks
(Science Publications, 2006)
In this study, we develop a computational model to identify the face of an unknown
person’s by applying eigenfaces. The eigenfaces has been applied to extract the basic face of the
human face images. The eigenfaces is ...
Comparison of different wavelet features from EEG signals for classifying human emotions
(Institute of Electrical and Electronics Engineering (IEEE), 2009-10-04)
In recent years, estimation of human emotions from Electroencephalogram (EEG) signals plays a vital role on developing intellectual Brain Computer Interface (BCI) devices. In this work, we have collected the EEG signals ...
Face recognition using eigenfaces and neural networks
(Science Publications, 2006)
In this study, we develop a computational model to identify the face of an unknown
person’s by applying eigenfaces. The eigenfaces has been applied to extract the basic face of the
human face images. The eigenfaces is ...
Automatic detection of prolongations and repetitions using LPCC
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-12-14)
Stuttering is a speech disorder in which the normal flow of speech is disrupted by occurrences of dysfluencies, such as repetitions, interjection and so on. There are high proportion of repetitions and prolongations in ...
A preliminary study of inhaled pharmaceutical aerosol flow characteristics in metered dose inhaler spacer
(Springerlink, 2008-06-25)
Metered Dose Inhalers (MDI) is used to prevent
and relieve the symptoms and progression of certain diseases
(asthma, chronic obstructive pulmonary disease, cystic fibrosis
and bronchiectosis) by delivering the inhaled ...