Simulation analysis of the wild animal observation system

Autor:	Lin Hui, Fu Yi Hung, Kuei Min Wang, Yung-Hui Chen
Rok vydání:	2020
Předmět:	Quadcopter Observation system business.industry Computer science Real-time computing Control (management) Process (computing) The Internet Plan (drawing) West coast business Internet of Things
Zdroj:	International Journal of Social and Humanistic Computing. 3:205
ISSN:	1752-6132 1752-6124
DOI:	10.1504/ijshc.2020.111161
Popis:	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 the interaction 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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c10a68203191d1b61f11e1fd1899447 https://doi.org/10.1504/ijshc.2020.111161 Zobrazit plný text záznamu