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Paper Abstract and Keywords
Presentation 2019-12-20 09:20
Development and evaluation of large-scale facility management system using UAV and machine learning technologies
Shota Nishiura, Hiroshi Yamamoto (Ritsumeikan Uni) IA2019-53
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, the number of companies introducing IoT to the factory to manage the location and detect abnormalities of employees and equipment has incleased. Managing the location and detecting anomalies of employees and equipment are essential for improving a overall work efficiency of the company and operating efficiency of production facilities to ensure employees safety.
Thus far, sensor network systems for indoor positioning have been proposed that utilize wireless communication technologies such as Wi-Fi and Bluetooth in order to manage the location of people targeting indoors. However, these systems have a probrem that is expensive to introduce and operate because many beacon receivers should be installed indoors. Therefore, in this paper, I propose an autonomous mobile sensing system in which UAVs (unmanned aerial vehicles) equipped with various sensors patrols large factory autonomously and collect extensive environmental information and radio wave conditions in factory. In addition, the sensor data collected by UAV is analyzed by various machine learning techniques to establish technology that estimate UAV and employee positions.
Keyword (in Japanese) (See Japanese page) 
(in English) Localization / Machine Learning / Unmanned Aerial Vehicle / IoT / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 343, IA2019-53, pp. 27-32, Dec. 2019.
Paper # IA2019-53 
Date of Issue 2019-12-12 (IA) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee IN IA  
Conference Date 2019-12-19 - 2019-12-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Satellite Campus Hiroshima 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Performance Analysis and Simulation, Robustness, Traffic and Throughput Measurement, Quality of Service (QoS) Control, Congestion Control, Overlay Network/P2P, IPv6, Multicast, Routing, DDoS, etc. 
Paper Information
Registration To IA 
Conference Code 2019-12-IN-IA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Development and evaluation of large-scale facility management system using UAV and machine learning technologies 
Sub Title (in English)  
Keyword(1) Localization  
Keyword(2) Machine Learning  
Keyword(3) Unmanned Aerial Vehicle  
Keyword(4) IoT  
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1st Author's Name Shota Nishiura  
1st Author's Affiliation Ritsumeikan University (Ritsumeikan Uni)
2nd Author's Name Hiroshi Yamamoto  
2nd Author's Affiliation Ritsumeikan University (Ritsumeikan Uni)
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Speaker Author-1 
Date Time 2019-12-20 09:20:00 
Presentation Time 25 minutes 
Registration for IA 
Paper # IA2019-53 
Volume (vol) vol.119 
Number (no) no.343 
Page pp.27-32 
#Pages 6 
Date of Issue 2019-12-12 (IA) 

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