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2018 | OriginalPaper | Chapter

A Proposed Artificial Neural Network (ANN) Model Using Geophone Sensors to Detect Elephants Near the Railway Tracks

Authors : Rakesh Kumar Mandal, Dechen Doma Bhutia

Published in: Advanced Computational and Communication Paradigms

Publisher: Springer Singapore

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Abstract

Elephant detection system is a subject of interest these days. Expert systems may be designed to enhance the efficiency of these systems. Artificial Neural Networks (ANNs) may be implemented in order to accomplish the task and research may be carried out in this field. In this paper, a method is proposed which detects the presence of elephants near the railway tracks and instantly activates the simulator to drive away elephants from the railway tracks. The simulators may be virtual fire or cracker sound. Elephants are scared of bee sound. So, bee sound may also be used as simulators. The proposed ANN used here is an unsupervised type of ANN, where a weight detection algorithm has been designed to get rid of the ambiguity.

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Literature
1.
Kanchan, V.: Survey paper on elephant tracking using acoustic sensor. Int. J. Sci. Dev. Res. (IJSDR) 1(3), 280–283(2016). ISSN: 2455-2631
2.
Prabhu, M.: An efficient surveillance system to detect elephant intrusion into forest borders using seismic sensors. Int. J. Adv. Eng. Technol. 7(1), 166–171 (2016). E-ISSN 0976-3945
3.
Sasikumar, G., Vignesh, R.H., Natheem, M.S.: An analysis on animal tracking system using wireless sensors. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 4(9), (2014). ISSN: 2277 128X
4.
Koik, B.T., Ibrahim.: A literature survey on animal detection methods in digital methods in digital images. Int. J. Future Comput. Commun. 1(1) (2012)
5.
Prabhu, M., Praveen Kumar, G.: Review on recent advances in elephant tracking and detection. Sens. Approach Asian J. Inform. Technol. 15(6), 1132–1138 (2016)
6.
Sharma, S., Shah, D.J.: A brief overview on differential animal detection methods. Int. J. (SIPIJ) 4(3) (2013)
7.
Nirmal, P.J., Sugumar S.J.: Surveillance and tracking of elephants using vocal spectral information. Int. J. Res. Eng. Technol. 3(7) (2014)
8.
Sugumar, S.J., Jayaparvathy, R.: Automated unsupervised elephant image detection system as a solution to human elephant conflict. In: Proceedings of the International Conference on Multimedia Processing. Communication and Information Technology, MPCIT (2013). DOI: 03. AETS
9.
Sugumar, S.J., Jayaparvathy R.: An early warning system for elephant intrusion along the forest border areas. Curr. Sci. 104(11) (2013)
10.
Shaikh, S., Jadhav, M., Nehe, N., Verma, U.: Int. J. Adv. Found. Res. Comput. 2 (2015). ISSN 2348-4853
11.
Rahayani, R.D. Gunawan, A., Ariwibowo, A.U.: Implementation of radio frequency as elephant presence detector for the human elephant conflict prevention. Innov. Syst. Des. Eng. 5(5) (2014)
12.
Rangdal, M.B., Hanchate, D.B.: Animal detection using histogram oriented gradient. Int. J. Recent Innov. Trends Comput. Commun. 2(2), 178–183. ISSN: 2321-8169
Metadata
Title
A Proposed Artificial Neural Network (ANN) Model Using Geophone Sensors to Detect Elephants Near the Railway Tracks
Authors
Rakesh Kumar Mandal
Dechen Doma Bhutia
Copyright Year
2018
Publisher
Springer Singapore
Book
Advanced Computational and Communication Paradigms

Print ISBN: 978-981-10-8236-8

Electronic ISBN: 978-981-10-8237-5

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-8237-5_1