Abstract | ||
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The human-elephant conflict is causing significant damages to the life of human and elephants in Sri Lanka. Minimizing encounters between humans and elephants is hence crucial in alleviating the human-elephant conflict. We have earlier introduced Eloc, a cost-effective localization system that is based on infrasonic emissions from wild elephants. One of the remaining challenges is a resource-efficient method to detect the elephants' infrasonic emissions. We present our efforts on devising a support vector machine (SVM) that is able to detect elephant rumbles on Eloc nodes.
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Year | DOI | Venue |
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2017 | 10.1145/3131672.3136982 | SenSys |
Keywords | Field | DocType |
Elephant Detection, Infra Sound Localization | Damages,Computer science,Support vector machine,Real-time computing,Localization system | Conference |
ISBN | Citations | PageRank |
978-1-4503-5459-2 | 0 | 0.34 |
References | Authors | |
0 | 10 |
Name | Order | Citations | PageRank |
---|---|---|---|
Namal Jayasuriya | 1 | 0 | 1.35 |
Tharindu Ranathunga | 2 | 0 | 1.01 |
Kasun Gunawardana | 3 | 0 | 0.34 |
Chamath Silva | 4 | 0 | 0.34 |
Prabash Kumarasinghe | 5 | 1 | 0.82 |
Asanka P. Sayakkara | 6 | 18 | 5.58 |
Chamath Keppitiyagama | 7 | 74 | 12.42 |
Kasun De Zoysa | 8 | 43 | 10.62 |
Kasun Hewage | 9 | 75 | 9.01 |
Thiemo Voigt | 10 | 3458 | 250.13 |