Presentation 2017-06-02
[Invited Talk] Handling Big Data and Information in Disaster Scene
Miyazaki Toshiaki,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) Sensor Network / Distributed Databese / WiFi / Resilient Information Management
Paper # SC2017-5
Date of Issue 2017-05-26 (SC)

Conference Information
Committee SC
Conference Date 2017/6/2(2days)
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
Chair Incheon Paik(Univ. of Aizu)
Vice Chair Masahide Nakamura(Kobe Univ.)
Secretary Masahide Nakamura(NICT)

Paper Information
Registration To Technical Committee on Service Computing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Invited Talk] 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
1st Author's Name Miyazaki Toshiaki
1st Author's Affiliation University of Aizu(Univ. of Aizu)
Date 2017-06-02
Paper # SC2017-5
Volume (vol) vol.117
Number (no) SC-75
Page pp.pp.21-26(SC),
#Pages 6
Date of Issue 2017-05-26 (SC)