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| Paper Abstract and Keywords | ||
| Presentation | 2022-03-28 13:25 A Study on Convolutional LSTM Based Weather Forecasting Method Using Colored Cloud Images Haruki Takehana, Astuo Ozaki (OIT)  MSS2021-62 NLP2021-133 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years, there has been an increase in flood damage caused by localized heavy rainfall, and research on forecasting localized and rapidly changing weather using supercomputers and phased array radar has been actively conducted. However, in order to deploy disaster prevention systems to many organizations such as local governments, low-cost systems that can be operated in various environments are required. In this study, we propose a method for predicting the weather from cloud images captured by a web camera using convolutional LSTM and CNN, and present the prediction results. In the evaluation, we predicted clear, sunny, and cloudy weather up to 15 minutes later using cloud images taken over Hirakata City, Osaka Prefecture, and confirmed that we could predict the weather in the range of 0.68 to 0.84. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Weather Forecasting / Cloud Images / CNN / Convolutional LSTM / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 443, MSS2021-62, pp. 37-42, March 2022. | |
| Paper # | MSS2021-62 | |
| Date of Issue | 2022-03-21 (MSS, NLP) | |
| 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) | |
| Download PDF | MSS2021-62 NLP2021-133 |
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| Conference Information | |
| Committee | MSS NLP |
| Conference Date | 2022-03-28 - 2022-03-29 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | MSS, NLP, Work In Progress (MSS only), and etc. |
| Paper Information | |
| Registration To | MSS |
| Conference Code | 2022-03-MSS-NLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Convolutional LSTM Based Weather Forecasting Method Using Colored Cloud Images |
| Sub Title (in English) | |
| Keyword(1) | Weather Forecasting |
| Keyword(2) | Cloud Images |
| Keyword(3) | CNN |
| Keyword(4) | Convolutional LSTM |
| Keyword(5) | |
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| 1st Author's Name | Haruki Takehana |
| 1st Author's Affiliation | Osaka Institute of Technology (OIT) |
| 2nd Author's Name | Astuo Ozaki |
| 2nd Author's Affiliation | Osaka Institute of Technology (OIT) |
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| Speaker | Author-1 |
| Date Time | 2022-03-28 13:25:00 |
| Presentation Time | 25 minutes |
| Registration for | MSS |
| Paper # | MSS2021-62, NLP2021-133 |
| Volume (vol) | vol.121 |
| Number (no) | no.443(MSS), no.444(NLP) |
| Page | pp.37-42 |
| #Pages | 6 |
| Date of Issue | 2022-03-21 (MSS, NLP) |
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