Simulation Analysis of Information-Based Animal Observation System

Lin Hui; Yi Cheng Chen; Kuei Min Wang; Chiao Ming Peng; Kai Ze Weng

doi:10.1007/978-981-13-3648-5_8

Simulation Analysis of Information-Based Animal Observation System

Lin Hui, Yi Cheng Chen, Kuei Min Wang, Chiao Ming Peng, Kai Ze Weng

Department of Information Management

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

There are many animal species have extinct from the earth because of the behavior of human being, such as killing and the change of habitat environment due to climate change, contamination and pollution, etc. The close-in observation is a way for counting and identifying the animal, which is on the verge of distinction. The conventional way in animal observation is by vehicle/foot on land and by vessel at sea that is not only man-power consuming, but costly, ineffective and weather limited. This paper aims at using a new information technology for dolphin observation instead of man-power on board vessel. A concept of responsive action in observation operation is applied carrying out by an information-based observation system which consists of hydrophone laid on the sea floor, camera/IR camera carried by Quadrocopter, and land control center. For verifying the effectiveness of this information-based observation system, the Monte Carlo simulation model is developed. The results showed this information-based observation system is more effective than the man-power, and the concept of the search in area of uncertainty (AOU) can make a significant improvement in detecting dolphin.

Original language	English
Title of host publication	Frontier Computing - Theory, Technologies and Applications FC 2018
Editors	Jason C. Hung, Neil Y. Yen, Lin Hui
Publisher	Springer Verlag
Pages	64-73
Number of pages	10
ISBN (Print)	9789811336478
DOIs	https://doi.org/10.1007/978-981-13-3648-5_8
State	Published - 2019
Event	6th International Conference on Frontier Computing, FC 2018 - Kuala Lumpur, Malaysia Duration: 3 Jul 2018 → 6 Jul 2018

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	542
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	6th International Conference on Frontier Computing, FC 2018
Country/Territory	Malaysia
City	Kuala Lumpur
Period	3/07/18 → 6/07/18

Keywords

Dolphin
Hydrophone
Information-based observation system
Simulation
UAV

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-981-13-3648-5_8

Cite this

Hui, L., Chen, Y. C., Wang, K. M., Peng, C. M., & Weng, K. Z. (2019). Simulation Analysis of Information-Based Animal Observation System. In J. C. Hung, N. Y. Yen, & L. Hui (Eds.), Frontier Computing - Theory, Technologies and Applications FC 2018 (pp. 64-73). (Lecture Notes in Electrical Engineering; Vol. 542). Springer Verlag. https://doi.org/10.1007/978-981-13-3648-5_8

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title = "Simulation Analysis of Information-Based Animal Observation System",

abstract = "There are many animal species have extinct from the earth because of the behavior of human being, such as killing and the change of habitat environment due to climate change, contamination and pollution, etc. The close-in observation is a way for counting and identifying the animal, which is on the verge of distinction. The conventional way in animal observation is by vehicle/foot on land and by vessel at sea that is not only man-power consuming, but costly, ineffective and weather limited. This paper aims at using a new information technology for dolphin observation instead of man-power on board vessel. A concept of responsive action in observation operation is applied carrying out by an information-based observation system which consists of hydrophone laid on the sea floor, camera/IR camera carried by Quadrocopter, and land control center. For verifying the effectiveness of this information-based observation system, the Monte Carlo simulation model is developed. The results showed this information-based observation system is more effective than the man-power, and the concept of the search in area of uncertainty (AOU) can make a significant improvement in detecting dolphin.",

keywords = "Dolphin, Hydrophone, Information-based observation system, Simulation, UAV",

author = "Lin Hui and Chen, {Yi Cheng} and Wang, {Kuei Min} and Peng, {Chiao Ming} and Weng, {Kai Ze}",

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Hui, L, Chen, YC, Wang, KM, Peng, CM & Weng, KZ 2019, Simulation Analysis of Information-Based Animal Observation System. in JC Hung, NY Yen & L Hui (eds), Frontier Computing - Theory, Technologies and Applications FC 2018. Lecture Notes in Electrical Engineering, vol. 542, Springer Verlag, pp. 64-73, 6th International Conference on Frontier Computing, FC 2018, Kuala Lumpur, Malaysia, 3/07/18. https://doi.org/10.1007/978-981-13-3648-5_8

Simulation Analysis of Information-Based Animal Observation System. / Hui, Lin; Chen, Yi Cheng; Wang, Kuei Min et al.
Frontier Computing - Theory, Technologies and Applications FC 2018. ed. / Jason C. Hung; Neil Y. Yen; Lin Hui. Springer Verlag, 2019. p. 64-73 (Lecture Notes in Electrical Engineering; Vol. 542).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - There are many animal species have extinct from the earth because of the behavior of human being, such as killing and the change of habitat environment due to climate change, contamination and pollution, etc. The close-in observation is a way for counting and identifying the animal, which is on the verge of distinction. The conventional way in animal observation is by vehicle/foot on land and by vessel at sea that is not only man-power consuming, but costly, ineffective and weather limited. This paper aims at using a new information technology for dolphin observation instead of man-power on board vessel. A concept of responsive action in observation operation is applied carrying out by an information-based observation system which consists of hydrophone laid on the sea floor, camera/IR camera carried by Quadrocopter, and land control center. For verifying the effectiveness of this information-based observation system, the Monte Carlo simulation model is developed. The results showed this information-based observation system is more effective than the man-power, and the concept of the search in area of uncertainty (AOU) can make a significant improvement in detecting dolphin.

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PB - Springer Verlag

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Y2 - 3 July 2018 through 6 July 2018

ER -

Simulation Analysis of Information-Based Animal Observation System

Abstract

Publication series

Conference

Keywords

UN SDGs

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Cite this