DSpace
 

iRepository at Perpustakaan UniMAP >
The Library >
Conference Papers >

Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/10432

Title: Moving vehicle noise classification using backpropagation algorithm
Authors: Norasmadi, Abdul Rahim
Paulraj, Murugesa Pandiyan, Assoc. Prof.
Abdul Hamid, Adom, Assoc. Prof. Dr.
Sundararaj, Sathishkumar
???metadata.dc.contributor.url???: norasmadi@ieee.org
paul@unimap.edu.my
abdhamid@unimap.edu.my
sathishy2j@yahoo.com
Keywords: Backpropagation;Feature extraction;Hearing impaired;Noise classification
Issue Date: 21-May-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: p. 1-6
Series/Report no.: Proceedings of the 6th International Colloquium on Signal Processing and Its Applications (CSPA) 2010
Abstract: The hearing impaired is afraid of walking along a street and living a life alone. Since it is difficult for hearing impaired to hear and judge sound information and they often encounter risky situations while they are in outdoors. The sound produced by moving vehicle in outdoor situation cannot be moderate wisely by profoundly deaf people. They also cannot distinguish the type and the distance of any moving vehicle approaching from their behind. Generally the profoundly deaf people do not use any hearing aid which does not provide any benefit. In this paper, a simple system that identifies the type and distance of a moving vehicle using artificial neural network has been proposed. The noises emanated from moving vehicles along the roadside were recorded along with the type and distance of moving vehicles. Simple feature extraction algorithm for extracting the feature from noise emanated by the moving vehicle has been made using frequency analysis approach. A onethird- octave filter bands is used for getting the important signatures from the emanated noise. The extracted features are associated with the type and distance of the moving vehicle and a simple neural network model is developed. The developed neural network model is tested for its validity.
Description: Link to publisher's homepage at http://ieeexplore.ieee.org/
URI: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5545231
http://hdl.handle.net/123456789/10432
ISBN: 978-1-4244-7121-8
Appears in Collections:Paulraj Murugesa Pandiyan, Prof. Dr.
Conference Papers
Abdul Hamid Adom, Prof. Dr.

Files in This Item:

File Description SizeFormat
Moving vehicle noise classification using backpropagation algorithm.pdf27.15 kBAdobe PDFView/Open
View Statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! Perpustakaan Tuanku syed Faizuddin Putra, Kampus Pauh Putra, Universiti Malaysia Perlis, 02600, Arau Perlis
TEL: +604-9885420 | FAX: +604-9885405 | EMAIL: rujukan@unimap.edu.my Feedback