淡江大學機構典藏:Item 987654321/120136
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/120136


    Title: Simulation analysis of the wild animal observation system
    Authors: Hui, Lin;Wang, Kuei Min;Chen, Yung-Hui;Hung, Fu-Yi
    Keywords: dolphin;hydrophone;observation system;simulation;unmanned aerial vehicle;UAV
    Date: 2020-10-29
    Issue Date: 2021-03-10 12:14:41 (UTC+8)
    Publisher: Inderscience
    Abstract: The Chinese white dolphin, along the west coast of Taiwan, is claimed as on the brink of distinction species. A top priority before entering the policy process of conservation is to have a well plan of accurate observation. Objective of this paper is to evaluate a proposed novel alternative, which applies the internet of thing (IoT) concept, in the observation of wild animal instead of the conventional way which is manpower intensive. The IoT observation System is consisted of the hydrophone laid on the sea floor, camera/IR sensor carried by Quadcopter, and land control center. Monte Carlo simulation was developed for getting insight of theinteraction between dolphin and IoT observation System. The result showed IoT observation System has a significant effect. The contribution this paper made is to prove that the IoT observation system is far more cost effectively than the manpower intensive boat watching method.
    Relation: International Journal of Social and Humanistic Computing 3(3/4), pp. 205-215
    DOI: 10.1504/IJSHC.2020.111161
    Appears in Collections:[Department of Innovative Information and Technology] Journal Article

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