TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Intelligent Robust Base-Station Research in Harsh Outdoor Wilderness Environments for Wildsense |
| 영문제목(English Title) |
Intelligent Robust Base-Station Research in Harsh Outdoor Wilderness Environments for Wildsense |
| 저자(Author) |
Junho Ahn
Akshay Mysore
Kati Zybko
Caroline Krumm
Dohyeon Lee
Dahyeon Kim
Richard Han
Shivakant Mishra
Thompson Hobbs
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| 원문수록처(Citation) |
VOL 15 NO. 03 PP. 0814 ~ 0836 (2021. 03) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Wildlife ecologists and biologists recapture deer to collect tracking data from deer collars or wait for a drop-off of a deer collar construction that is automatically detached and disconnected. The research teams need to manage a base camp with medical trailers, helicopters, and airplanes to capture deer or wait for several months until the deer collar drops off of the deer’s neck. We propose an intelligent robust base-station research with a low-cost and time saving method to obtain recording sensor data from their collars to a listener node, and readings are obtained without opening the weatherproof deer collar. We successfully designed the and implemented a robust base station system for automatically collecting data of the collars and listener motes in harsh wilderness environments. Intelligent solutions were also analyzed for improved data collections and pattern predictions with drone-based detection and tracking algorithms.
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| 키워드(Keyword) |
Intelligence
Vision Detection
Base Station
Data Collection
Harsh Environments
Robust Base Station
Wilderness Area
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| 파일첨부 |
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