Paper Abstract and Keywords |
Presentation |
2017-10-11 11:45
Development of Web Application for Detecting Extreme Value in Any Time Period based on Open Weather Observation Data Shunta Kurata, Munenari Inoguchi (Shizuoka Univ.) ICTSSL2017-35 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Recently due to climate change in the world, there are many rain-fall disasters in Japan. Against this situation, we have to select effective and efficient evacuation receiving alert or warning information in order to reduce severe damage. Meteorological bureau decided to declare alert or warning following numeric values relating weather situation which is observed in weather stations. However, residents cannot understand the meaning of numeric values about weather situation, so they cannot make decision for effective evacuation. Against this issue, we design and develop a web-application which can indicate maximum value around user’s location. Furthermore, in this application, users can set the period to abstract weather situation in order to compare the numeric values to their own experience. After developing this, professions of social disaster management reviewed this, and our application critically acclaimed from them. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Weather Observation Data / Extreme Value / Rain-fall Disaster / Climate Change / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 232, ICTSSL2017-35, pp. 35-38, Oct. 2017. |
Paper # |
ICTSSL2017-35 |
Date of Issue |
2017-10-03 (ICTSSL) |
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) |
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ICTSSL2017-35 |
Conference Information |
Committee |
ICTSSL IN |
Conference Date |
2017-10-10 - 2017-10-11 |
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(See Japanese page) |
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Paper Information |
Registration To |
ICTSSL |
Conference Code |
2017-10-ICTSSL-IN |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Development of Web Application for Detecting Extreme Value in Any Time Period based on Open Weather Observation Data |
Sub Title (in English) |
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Keyword(1) |
Weather Observation Data |
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Extreme Value |
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Rain-fall Disaster |
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Climate Change |
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1st Author's Name |
Shunta Kurata |
1st Author's Affiliation |
Shizuoka University (Shizuoka Univ.) |
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Munenari Inoguchi |
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Shizuoka University (Shizuoka Univ.) |
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Speaker |
Author-1 |
Date Time |
2017-10-11 11:45:00 |
Presentation Time |
25 minutes |
Registration for |
ICTSSL |
Paper # |
ICTSSL2017-35 |
Volume (vol) |
vol.117 |
Number (no) |
no.232 |
Page |
pp.35-38 |
#Pages |
4 |
Date of Issue |
2017-10-03 (ICTSSL) |
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