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Now showing items 11-20 of 22
Damage detection in steel plates using artificial neural networks
(Institute of Electrical and Electronics Engineering (IEEE), 2009-06-04)
In this paper, a simple method for crack identification in steel plates based on frame energy based Discrete Cosine Transformation (DCT) is presented. A simple experimental procedure is also proposed to measure the vibration ...
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- ...
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 ...
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 ...
Feature extraction based on mel-scaled wavelet packet transform for the diagnosis of voice disorders
(SpringerLink, 2008-06-25)
Feature extraction from the vocal signal plays very important role in the area of automatic detection of voice disorders. Many feature extraction algorithms have been developed in the last three decades based on acoustic ...
Automatic detection of voice disorders using self loop architecture in back propagation network
(Anna University, 2008-01-04)
Acoustic analysis is a non-invasive technique to detect the voice disorders and diagnose the vocal and voice disease. In the recent years, voice disease are increasing dramatically due to unhealthy social habits and voice ...
Supervised neural network classifier for voice pathology
(Kongu Engineering College, 2008-01-03)
The classification of normal and pathological voices using noninvasive acoustical analysis features helps speech specialist to perform accurate diagnoses of vocal and voice disease. Acoustic analysis is a non-invasive ...