Simulation analysis of the wild animal observation system
學年 109
學期 1
出版（發表）日期 2020-10-29
作品名稱 Simulation analysis of the wild animal observation system
作品名稱（其他語言）
著者 Lin Hui; Kuei Min Wang; Yung-Hui Chen; Fu-Yi Hung
單位
出版者
著錄名稱、卷期、頁數 International Journal of Social and Humanistic Computing 3(3/4), pp. 205-215
摘要 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.
關鍵字 dolphin;hydrophone;observation system;simulation;unmanned aerial vehicle;UAV
語言 en_US
ISSN 1752-6132
期刊性質 國外
收錄於
產學合作
通訊作者 Kuei Min Wang
審稿制度 是
國別 CHE
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/120136 )

SDGS 產業創新與基礎設施,氣候行動