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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/20492

Title: Moving vehicle identification using artificial neural network
Authors: Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.
Abdul Hamid, Adom, Assoc. Prof. Dr.
Siti Marhainis, Othman
Sundararaj, Sathish Kumar
???metadata.dc.contributor.url???: paul@unimap.edu.my
Keywords: Hearing impaired;Backpropagation;Multilayer Perceptron (MLP) Neural Network
Issue Date: 27-Feb-2012
Publisher: Universiti Malaysia Perlis (UniMAP)
???metadata.dc.publisher.department???: School of Mechatronic Engineering
Series/Report no.: Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2012)
Abstract: Hearing impaired people cannot distinguish the sound from a moving vehicle approaching from their behind. They often face a risky situation while they are in outdoors. In this paper, a simple algorithm is proposed to classify the type and distance of the moving vehicles based on the sound signature recorded from the vehicles. A simple experimental protocol is designed to record the vehicle sound under different environment conditions and velocity of vehicles. The noises emanated from moving vehicles along the roadside were recorded along with the type and distance of the vehicle. Autoregressive modeling algorithm is used for the analysis to extract features from the recorded sound signal. Two simple Multilayer Perceptron (MLP) models are developed and trained using Backpropagation algorithm to classify the vehicle type and its distance. The effectiveness of the network is validated through stimulation.
Description: International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.
URI: http://hdl.handle.net/123456789/20492
Appears in Collections:Paulraj Murugesa Pandiyan, Prof. Dr.
Siti Marhainis Othman
Conference Papers
Abdul Hamid Adom, Prof. Dr.

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