Considerations on Developing a Chainsaw Intrusion Detection and Localization System for Preventing Unauthorized Logging

Valentin Andrei; Horia Cucu; Lucian Petrică

doi:doi:10.11648/j.jeee.20150306.15

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Considerations on Developing a Chainsaw Intrusion Detection and Localization System for Preventing Unauthorized Logging

Valentin Andrei, Horia Cucu, Lucian Petrică

Published in Journal of Electrical and Electronic Engineering (Volume 3, Issue 6)

Received: 3 December 2015 Accepted: 11 December 2015 Published: 25 December 2015

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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.

Published in	Journal of Electrical and Electronic Engineering (Volume 3, Issue 6)
DOI	10.11648/j.jeee.20150306.15
Page(s)	202-207
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Chainsaw Detection, Sound Source Localization, Sound Recognition

References

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[3]	I. C. Yoo, D. Yook, “Automatic Sound Recognition for the Hearing Impaired”, IEEE Transactions on Consumer Electronics, vol. 54, no. 4, pp. 2029-2036, 2008.
[4]	Q. Guangmeng, Z. Mei, “Using MODIS land surface temperature to evaluate forest fire risk of northeast China”, IEEE Geoscience and Remote Sensing Letters, vol. 1, issue 2, pp. 98-100, 2004.
[5]	K. Kyzirakos, M. Karpathiotakis, G. Garbis, C. Nikolaou, K. Bereta, I. Papoutsis, C. Kontoes, “Wildfire monitoring using satellite images, ontologies and linked geospatial data”, Web Semantics: Science, Services and Agents on the World Wide Web.
[6]	Z. Xiong, R. Caballero, H. Wang, A. M. Finn, M. A. Lelic, P. Y. Peng, “Video-based smoke detection: possibilities, techniques, and challenges”, in IFPA, fire suppression and detection research and applications - a technical working conference (SUPDET), Orlando, USA.
[7]	Bo Lei; Zhijie Zhang; Song Yue and Chensheng Wang, “Forest smoke detection in video images based on constant speed rotating platform,” in Proc. ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, 2013.
[8]	G. Oltean, L. Grama, L. Ivanciu, C. Rusu, “Alarming events detection based on audio signals recognition”, Proc. of 8^th Conference on Speech Technology and Human Computer Dialogue, pp. 83-90, 2015.
[9]	M. Ghiurcau, C. Rusu, R. C. Bilcu, J. Astola, “Audio based solutions for detecting intruders in wild areas”, Journal of Signal Processing, vol. 92, Elsevier, pp. 829-840, 2012.
[10]	L. Grama, C. Rusu, G. Oltean, L. Ivanciu, “Quantization effects on audio signals for detecting intruders in wild areas using TESPAR S-Matrix and Artificial Neural Networks”, Proc. of 8^th Conference on Speech Technology and Human Computer Dialogue, pp. 1-6, 2015.
[11]	L. Tudor, V. Zoicas, L. Grama, C. Rusu, “The SPG (Signal Processing Group) Sound Database”, Novice Insights in Electronics, Communications and Information Technology, Issue 15, pp. 62-65, 2014.
[12]	J. Tiete, F. Dominguez, et. al. “Sound Compass: a distributed MEMS microphone array-based sensor for sound source localization”, MDPI Sensors, vol. 14, no. 2, pp. 1918-1949, 2014.
[13]	A. Greensted, “Delay Sum Beamforming”, The Lab Book Pages, October 2012.
[14]	H. Do, H. Silverman, Y. Yu, “A real-time SPR-PHAT source location implementation using stochastic region contraction (src) on a large-aperture microphone array”, in Proc. ICASSP, pp. 121-124, 2007.

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APA Style

Valentin Andrei, Horia Cucu, Lucian Petrică. (2015). Considerations on Developing a Chainsaw Intrusion Detection and Localization System for Preventing Unauthorized Logging. Journal of Electrical and Electronic Engineering, 3(6), 202-207. https://doi.org/10.11648/j.jeee.20150306.15

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ACS Style

Valentin Andrei; Horia Cucu; Lucian Petrică. Considerations on Developing a Chainsaw Intrusion Detection and Localization System for Preventing Unauthorized Logging. J. Electr. Electron. Eng. 2015, 3(6), 202-207. doi: 10.11648/j.jeee.20150306.15

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AMA Style

Valentin Andrei, Horia Cucu, Lucian Petrică. Considerations on Developing a Chainsaw Intrusion Detection and Localization System for Preventing Unauthorized Logging. J Electr Electron Eng. 2015;3(6):202-207. doi: 10.11648/j.jeee.20150306.15

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@article{10.11648/j.jeee.20150306.15,
  author = {Valentin Andrei and Horia Cucu and Lucian Petrică},
  title = {Considerations on Developing a Chainsaw Intrusion Detection and Localization System for Preventing Unauthorized Logging},
  journal = {Journal of Electrical and Electronic Engineering},
  volume = {3},
  number = {6},
  pages = {202-207},
  doi = {10.11648/j.jeee.20150306.15},
  url = {https://doi.org/10.11648/j.jeee.20150306.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20150306.15},
  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.},
 year = {2015}
}

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TY  - JOUR
T1  - Considerations on Developing a Chainsaw Intrusion Detection and Localization System for Preventing Unauthorized Logging
AU  - Valentin Andrei
AU  - Horia Cucu
AU  - Lucian Petrică
Y1  - 2015/12/25
PY  - 2015
N1  - https://doi.org/10.11648/j.jeee.20150306.15
DO  - 10.11648/j.jeee.20150306.15
T2  - Journal of Electrical and Electronic Engineering
JF  - Journal of Electrical and Electronic Engineering
JO  - Journal of Electrical and Electronic Engineering
SP  - 202
EP  - 207
PB  - Science Publishing Group
SN  - 2329-1605
UR  - https://doi.org/10.11648/j.jeee.20150306.15
AB  - 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.
VL  - 3
IS  - 6
ER  -

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Author Information

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

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APA Style

Valentin Andrei, Horia Cucu, Lucian Petrică. (2015). Considerations on Developing a Chainsaw Intrusion Detection and Localization System for Preventing Unauthorized Logging. Journal of Electrical and Electronic Engineering, 3(6), 202-207. https://doi.org/10.11648/j.jeee.20150306.15

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ACS Style

Valentin Andrei; Horia Cucu; Lucian Petrică. Considerations on Developing a Chainsaw Intrusion Detection and Localization System for Preventing Unauthorized Logging. J. Electr. Electron. Eng. 2015, 3(6), 202-207. doi: 10.11648/j.jeee.20150306.15

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AMA Style

Valentin Andrei, Horia Cucu, Lucian Petrică. Considerations on Developing a Chainsaw Intrusion Detection and Localization System for Preventing Unauthorized Logging. J Electr Electron Eng. 2015;3(6):202-207. doi: 10.11648/j.jeee.20150306.15

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@article{10.11648/j.jeee.20150306.15,
  author = {Valentin Andrei and Horia Cucu and Lucian Petrică},
  title = {Considerations on Developing a Chainsaw Intrusion Detection and Localization System for Preventing Unauthorized Logging},
  journal = {Journal of Electrical and Electronic Engineering},
  volume = {3},
  number = {6},
  pages = {202-207},
  doi = {10.11648/j.jeee.20150306.15},
  url = {https://doi.org/10.11648/j.jeee.20150306.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20150306.15},
  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.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Considerations on Developing a Chainsaw Intrusion Detection and Localization System for Preventing Unauthorized Logging
AU  - Valentin Andrei
AU  - Horia Cucu
AU  - Lucian Petrică
Y1  - 2015/12/25
PY  - 2015
N1  - https://doi.org/10.11648/j.jeee.20150306.15
DO  - 10.11648/j.jeee.20150306.15
T2  - Journal of Electrical and Electronic Engineering
JF  - Journal of Electrical and Electronic Engineering
JO  - Journal of Electrical and Electronic Engineering
SP  - 202
EP  - 207
PB  - Science Publishing Group
SN  - 2329-1605
UR  - https://doi.org/10.11648/j.jeee.20150306.15
AB  - 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.
VL  - 3
IS  - 6
ER  -

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