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| Presentation | 2022-01-28 14:50 Prediction of melting process of inorganic compounds in wood using Seq2Seq Kazunori Asahi, Hiroyasu Usami, Akihiko Okazaki, Yoshihiko Ninomiya (chubu Univ.)  EST2021-91 Link to ES Tech. Rep. Archives: EST2021-91 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years, the importance of carbon neutrality has been increasing, and biomass gasification power generation facilities with combined heat and power for local production and local consumption, which are one of the distributed power sources to form a regionally distributed smart community that is not affected by weather, have been attracting attention. However, the composition of cedar wood, which is the main thinned wood, differs from other thinned woods such as cypress and pine in terms of potassium content. Therefore, a large amount of clinker is generated in the furnace in a short period of time (1~2 weeks), and the operating time of the gas-fired furnace varies depending on the lumber handled. In this study, we used PhyDNet [1], which is a model that handles time-series information for combustion video data of various types of wood, to predict the combustion process of wood in order to clarify the optimal operating conditions of the gas-fired furnace for each type of wood handled. In this paper, two patterns of data sets were created and compared using SSIM as the accuracy evaluation. As a result, the accuracy of SSIM was about 86% and 91%. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Image processing / Machine learning / LSTM / seq2seq / ceder palette / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 358, EST2021-91, pp. 169-172, Jan. 2022. | |
| Paper # | EST2021-91 | |
| Date of Issue | 2022-01-20 (EST) | |
| 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 | EST2021-91 Link to ES Tech. Rep. Archives: EST2021-91 |
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| Conference Information | |
| Committee | EST |
| Conference Date | 2022-01-27 - 2022-01-28 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Simulation techniques, etc. |
| Paper Information | |
| Registration To | EST |
| Conference Code | 2022-01-EST |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Prediction of melting process of inorganic compounds in wood using Seq2Seq |
| Sub Title (in English) | |
| Keyword(1) | Image processing |
| Keyword(2) | Machine learning |
| Keyword(3) | LSTM |
| Keyword(4) | seq2seq |
| Keyword(5) | ceder palette |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Kazunori Asahi |
| 1st Author's Affiliation | Chubu University (chubu Univ.) |
| 2nd Author's Name | Hiroyasu Usami |
| 2nd Author's Affiliation | Chubu University (chubu Univ.) |
| 3rd Author's Name | Akihiko Okazaki |
| 3rd Author's Affiliation | Chubu University (chubu Univ.) |
| 4th Author's Name | Yoshihiko Ninomiya |
| 4th Author's Affiliation | Chubu University (chubu Univ.) |
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| Speaker | Author-1 |
| Date Time | 2022-01-28 14:50:00 |
| Presentation Time | 20 minutes |
| Registration for | EST |
| Paper # | EST2021-91 |
| Volume (vol) | vol.121 |
| Number (no) | no.358 |
| Page | pp.169-172 |
| #Pages | 4 |
| Date of Issue | 2022-01-20 (EST) |
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