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Indoor Zone Recognition System using RSSI of BLE Beacon
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BLE Beacons의 RSSI를 이용한 실내 Zone인식 시스템

논문 기본 정보

Type
Academic journal
Author
Jinpyung Kim (Korea Railroad Research Institute) Taeki Ahn (Korea Railroad Research Institute) Sanghoon Kim (Korea Railroad Research Institute) Chi-Hyung Ahn (Korea Railroad Research Institute)
Journal
The Korean Society For Railway Journal of the Korean Society for Railway Vol.19 No.5 (Wn.96) KCI Accredited Journals SCOPUS
Published
2016.10
Pages
585 - 591 (7page)

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Indoor Zone Recognition System using RSSI of BLE Beacon
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Abstract· Keywords

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Recently, indoor location detection has become an important area in the IoT (Internet of Things) environment for various indoor location-based services. In this paper, our proposed method shows that a virtual region can be divided electromagnetically according to specific facilities or services in various IoT application areas called zones. The MLP (Multi-Layer Perceptron) method is applied to recognize the service zone at the current position. The MLP utilized an RSSI (Received Signal Strength Indicator) signal of the BLE (Bluetooth Low Energy) Beacon as input data and made decisions to affiliate the zone of the current region as output. In order to verify the proposed method, we constructed an experimental environment similar in size to an actual rail station using four of the beacon and two zones.
#Fingerprint #Received Signal Strength Indicator #Indoor Location System #Multi-Layer Perceptron #Zone-Based Indoor Location #수신신호강도 #핑거프린트 #실내측위시스템 #다층퍼셉트론 #Zone기반 실내측위

Contents

Abstract
초록
1. 서론
2. 실내 환경에서의 Zone인식시스템
3. 실험 및 토의
4. 결론
References

References (16)

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[학술지(정기간행물)] - Liu, Hui / 2007 / Survey of wireless indoor positioning techniques and systems / IEEE Transactions on Systems, Man, and Cybernetics, Part C 37 (6) : 1067 ~ 1080 google schola [학술지(정기간행물)] - Gu, Yanying / 2009 / A survey of indoor positioning systems for wireless personal networks / IEEE Communications surveys & tutorials 11 (1) : 13 ~ 32 google schola [학술지(정기간행물)] - Mok, Esmond / 2013 / An improved neural network training algorithm for Wi-Fi fingerprinting positioning / ISPRS International journal of geo-information 2 (3) : 854 ~ 868 google schola [학술지(정기간행물)] - Zhuang, Yuan / 2016 / Smartphone-Based Indoor Localization with Bluetooth Low Energy Beacons / Sensors 16 (5) : 596 ~ google schola [학술지(정기간행물)] - Koyuncu, Hakan / 2010 / A survey of indoor positioning and object locating systems / IJCSNS International Journal of Computer Science and Network Security 10 (5) : 121 ~ 128 google schola

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