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Multi-classifier system for moving vehicles classification based on spectral bands energy

The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Po...

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Main Authors: Norasmadi, Abdul Rahim, Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr., Adom, Abdul Hamid, Prof. Dr., Sathishkumar, Sundararaj
Other Authors: norasmadi@unimap.edu.my
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2013
Subjects:
Vehicle noise classification
Multi-classifier system
Multilayer perceptron
Ensemble decision
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/28997
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spelling my.unimap-289972013-10-21T04:09:15Z Multi-classifier system for moving vehicles classification based on spectral bands energy Norasmadi, Abdul Rahim Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr. Adom, Abdul Hamid, Prof. Dr. Sathishkumar, Sundararaj norasmadi@unimap.edu.my Vehicle noise classification Multi-classifier system Multilayer perceptron Ensemble decision The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia. Profoundly hearing impaired community cannot moderate wisely an acoustic noise emanated from moving vehicle in outdoor. They are not able to distinguish either type or distance of moving vehicle approaching from behind. Since, the hearing impaired encounter risky situation while they are in outdoor. In this paper, a simple system has been proposed for identify the type and distance of a moving vehicle using multi-classifier system (MCS). One-third octave filter bands approach have been used for extracting the significant feature from the noise emanated by the moving vehicle. The extracted features were associated with the type and distance of the moving vehicle and the MCS based on neural network model has been developed. The developed neural network model with same hidden neuron has been proposed for MCS. This network has been tested for single classifier and MCS. The developed MCS give a better classification accuracy compared to single classifier. 2013-10-21T04:09:15Z 2013-10-21T04:09:15Z 2012-06-18 Working Paper p. 702 - 713 978-967-5760-11-2 http://hdl.handle.net/123456789/28997 en Proceedings of the The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012); Universiti Malaysia Perlis (UniMAP)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Vehicle noise classification
Multi-classifier system
Multilayer perceptron
Ensemble decision
spellingShingle Vehicle noise classification
Multi-classifier system
Multilayer perceptron
Ensemble decision
Norasmadi, Abdul Rahim
Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.
Adom, Abdul Hamid, Prof. Dr.
Sathishkumar, Sundararaj
Multi-classifier system for moving vehicles classification based on spectral bands energy
description The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia.
author2 norasmadi@unimap.edu.my
author_facet norasmadi@unimap.edu.my
Norasmadi, Abdul Rahim
Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.
Adom, Abdul Hamid, Prof. Dr.
Sathishkumar, Sundararaj
format Working Paper
author Norasmadi, Abdul Rahim
Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.
Adom, Abdul Hamid, Prof. Dr.
Sathishkumar, Sundararaj
author_sort Norasmadi, Abdul Rahim
title Multi-classifier system for moving vehicles classification based on spectral bands energy
title_short Multi-classifier system for moving vehicles classification based on spectral bands energy
title_full Multi-classifier system for moving vehicles classification based on spectral bands energy
title_fullStr Multi-classifier system for moving vehicles classification based on spectral bands energy
title_full_unstemmed Multi-classifier system for moving vehicles classification based on spectral bands energy
title_sort multi-classifier system for moving vehicles classification based on spectral bands energy
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2013
url http://dspace.unimap.edu.my/xmlui/handle/123456789/28997
_version_ 1643795613647634432
score 13.214268

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