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Moving vehicle recognition and classification based on time domain approach

Malaysian Technical Universities Conference on Engineering and Technology (MUCET) 2012 organised by technical universities under the Malaysian Technical Universities Network (MTUN), 20th - 21st November 2012 at Hotel Seri Malaysia, Kangar, Perlis.

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Bibliographic Details
Main Authors:	Paulraj, Murugesa Pandian, Dr., Abdul Hamid, Adom, Prof., Dr., Sundararaj, Sathishkumar, Norasmadi, Abdul Rahim
Other Authors:	paul@unimap.edu.my
Format:	Working Paper
Language:	English
Published:	Malaysian Technical Universities Network (MTUN) 2013
Subjects:	Differentially Hearing Ability Enabled (DHAE) Probabilistic neural network (PNN) Autoregressive model Acoustic sound signature
Online Access:	http://dspace.unimap.edu.my/xmlui/handle/123456789/27001
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id	my.unimap-27001
record_format	dspace
spelling	my.unimap-270012013-07-23T07:40:33Z Moving vehicle recognition and classification based on time domain approach Paulraj, Murugesa Pandian, Dr. Abdul Hamid, Adom, Prof., Dr. Sundararaj, Sathishkumar Norasmadi, Abdul Rahim paul@unimap.edu.my Differentially Hearing Ability Enabled (DHAE) Probabilistic neural network (PNN) Autoregressive model Acoustic sound signature Malaysian Technical Universities Conference on Engineering and Technology (MUCET) 2012 organised by technical universities under the Malaysian Technical Universities Network (MTUN), 20th - 21st November 2012 at Hotel Seri Malaysia, Kangar, Perlis. Differentially Hearing Ability Enabled (DHAE) community cannot discriminate the sound information from a moving vehicle approaching from their behind. This research work is mainly focused on recognition of different vehicles and its position using noise emanated from the vehicle A simple experimental protocol has been designed to record the sound signal emanated from the moving vehicle under different environment conditions and also at different vehicle speed Autoregressive modeling algorithm is used for the analysis to extract the features from the recorded vehicle noise signal. Probabilistic neural network (PNN) models are developed to classify the vehicle type and its distance. The effectiveness of the network is validated through stimulation. 2013-07-23T07:40:33Z 2013-07-23T07:40:33Z 2012-11-20 Working Paper p. 173-177 http://hdl.handle.net/123456789/27001 en Proceedings of the Malaysian Technical Universities Conference on Engineering and Technology (MUCET) 2012 Malaysian Technical Universities Network (MTUN)
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	Differentially Hearing Ability Enabled (DHAE) Probabilistic neural network (PNN) Autoregressive model Acoustic sound signature
spellingShingle	Differentially Hearing Ability Enabled (DHAE) Probabilistic neural network (PNN) Autoregressive model Acoustic sound signature Paulraj, Murugesa Pandian, Dr. Abdul Hamid, Adom, Prof., Dr. Sundararaj, Sathishkumar Norasmadi, Abdul Rahim Moving vehicle recognition and classification based on time domain approach
description	Malaysian Technical Universities Conference on Engineering and Technology (MUCET) 2012 organised by technical universities under the Malaysian Technical Universities Network (MTUN), 20th - 21st November 2012 at Hotel Seri Malaysia, Kangar, Perlis.
author2	paul@unimap.edu.my
author_facet	paul@unimap.edu.my Paulraj, Murugesa Pandian, Dr. Abdul Hamid, Adom, Prof., Dr. Sundararaj, Sathishkumar Norasmadi, Abdul Rahim
format	Working Paper
author	Paulraj, Murugesa Pandian, Dr. Abdul Hamid, Adom, Prof., Dr. Sundararaj, Sathishkumar Norasmadi, Abdul Rahim
author_sort	Paulraj, Murugesa Pandian, Dr.
title	Moving vehicle recognition and classification based on time domain approach
title_short	Moving vehicle recognition and classification based on time domain approach
title_full	Moving vehicle recognition and classification based on time domain approach
title_fullStr	Moving vehicle recognition and classification based on time domain approach
title_full_unstemmed	Moving vehicle recognition and classification based on time domain approach
title_sort	moving vehicle recognition and classification based on time domain approach
publisher	Malaysian Technical Universities Network (MTUN)
publishDate	2013
url	http://dspace.unimap.edu.my/xmlui/handle/123456789/27001
_version_	1643795018203267072
score	13.22586

Moving vehicle recognition and classification based on time domain approach

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