Considerations on Developing a Chainsaw Intrusion Detection and Localization System for Preventing Unauthorized Logging
Journal of Electrical and Electronic Engineering
Volume 3, Issue 6, December 2015, Pages: 202-207
Received: Dec. 3, 2015; Accepted: Dec. 11, 2015; Published: Dec. 25, 2015
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Authors
Valentin Andrei, Speech and Dialogue Research Laboratory, University “Politehnica” of Bucharest, Bucharest, Romania
Horia Cucu, Speech and Dialogue Research Laboratory, University “Politehnica” of Bucharest, Bucharest, Romania
Lucian Petrică, Speech and Dialogue Research Laboratory, University “Politehnica” of Bucharest, Bucharest, Romania
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Abstract
This work presents a system designed to prevent unauthorized logging by detecting and locating chainsaw sound sources. We analyze the specifics of chainsaw related sounds and discuss about the possible approaches for classifying the input sounds. The work also highlights several approaches for sound source localization that can be used in wireless sensor network architecture for tracking the assumed intruders. Finally we describe the architecture of the system and discuss on how our approach is designed to be scalable, fail-safe and cost effective.
Keywords
Chainsaw Detection, Sound Source Localization, Sound Recognition
To cite this article
Valentin Andrei, Horia Cucu, Lucian Petrică, Considerations on Developing a Chainsaw Intrusion Detection and Localization System for Preventing Unauthorized Logging, Journal of Electrical and Electronic Engineering. Vol. 3, No. 6, 2015, pp. 202-207. doi: 10.11648/j.jeee.20150306.15
Copyright
Copyright © 2015 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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