期刊論文
| 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 ) |