Resource-Efficient Detection of Elephant Rumbles

N. Jayasuriya, T. Ranathunga, K. Gunawardana, Chamath Silva, Prabash Kumarasinghe, A. Sayakkara, C. Keppitiyagama, K. Zoysa, Kasun Hewage, T. Voigt
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Abstract

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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大象隆隆声的资源高效检测
人象冲突对斯里兰卡人和大象的生活造成了重大损害。因此,尽量减少人象之间的接触对于缓解人象冲突至关重要。我们之前介绍过Eloc,这是一种基于野生大象次声波发射的经济高效的定位系统。剩下的挑战之一是找到一种资源高效的方法来探测大象的次声发射。我们设计了一种支持向量机(SVM),能够检测Eloc节点上的大象隆隆声。
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