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Paper Abstract and Keywords
Presentation 2017-06-02 15:00
[Invited Talk] Handling Big Data and Information in Disaster Scene
Miyazaki Toshiaki (Univ. of Aizu) SC2017-5
Abstract (in Japanese) (See Japanese page) 
(in English) On September 11, 2011, we had a big earthquake in Tohoku area in Japan. The cruel experience provoked us into developing data and information sharing systems that must be used in disaster scenes. In my talk, I will introduce two systems that we are developing. The first one is the demand-addressable sensor network system (DASN), which is dedicated to nation-wide environmental sensing. To handle huge amount of sensed data, e.g., more than one million sensed data per second, a unique distributed database technique and an active sensing concept were introduced to DASN. The second system is the resilient information management system or RIM. By providing a standalone server with WiFi environment, RIM supports rescue actions and information sharing among the people in a disaster-hit region using their smartphones/tablets, even if the Internet and commercial phone/network infrastructure are not available.
Keyword (in Japanese) (See Japanese page) 
(in English) Sensor Network / Distributed Databese / WiFi / Resilient Information Management / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 75, SC2017-5, pp. 21-26, June 2017.
Paper # SC2017-5 
Date of Issue 2017-05-26 (SC) 
ISSN Print edition: ISSN 0913-5685    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)
Download PDF SC2017-5

Conference Information
Committee SC  
Conference Date 2017-06-02 - 2017-06-03 
Place (in Japanese) (See Japanese page) 
Place (in English) University of Aizu(UBIC 3D) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Service Computing including IoT, Big Data Analytics, Intelligent Communication System, and Other Issues 
Paper Information
Registration To SC 
Conference Code 2017-06-SC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Handling Big Data and Information in Disaster Scene 
Sub Title (in English)  
Keyword(1) Sensor Network  
Keyword(2) Distributed Databese  
Keyword(3) WiFi  
Keyword(4) Resilient Information Management  
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1st Author's Name Miyazaki Toshiaki  
1st Author's Affiliation University of Aizu (Univ. of Aizu)
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Speaker Author-1 
Date Time 2017-06-02 15:00:00 
Presentation Time 60 minutes 
Registration for SC 
Paper # SC2017-5 
Volume (vol) vol.117 
Number (no) no.75 
Page pp.21-26 
#Pages 6 
Date of Issue 2017-05-26 (SC) 

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