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Paper Abstract and Keywords
Presentation 2024-02-29 15:50
Development and Evaluation of the Water Flow Prediction Model for Remote Control of Sluice Gates in the Onga River
Takahiro Ueno (Fukuoka Univ.), Koki Ozono (AJP), Masayoshi Ohashi (Fukuoka Univ.) SeMI2023-77
Abstract (in Japanese) (See Japanese page) 
(in English) Our laboratory is engaged in the research and development of a system for the remote control and monitoring of sluice gates in the Onga River that flows through Nogata City. The backflow from tributaries is a significant factor for sluice gate control decisions. Development of a machine learning model to predict the direction of water flow in these tributaries is essential. We focus on predicting water flow direction by combining data obtained from pressure sensor and surveillance camera. Pressure sensor collects data on underwater flow direction, while surveillance camera provides time-series image data of flow direction within the water. To predict water flow, we conducted measurements in the tributaries and developed the machine learning model using the collected data. In this paper, we report the evaluation results of the model and insights from an investigation into the data measurement environment.
Keyword (in Japanese) (See Japanese page) 
(in English) Water flow prediction / Pressure sensor / Time-series image / Machine learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 400, SeMI2023-77, pp. 37-41, Feb. 2024.
Paper # SeMI2023-77 
Date of Issue 2024-02-22 (SeMI) 
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 SeMI2023-77

Conference Information
Committee SeMI IPSJ-UBI IPSJ-MBL  
Conference Date 2024-02-29 - 2024-03-01 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SeMI 
Conference Code 2024-02-SeMI-UBI-MBL 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Development and Evaluation of the Water Flow Prediction Model for Remote Control of Sluice Gates in the Onga River 
Sub Title (in English)  
Keyword(1) Water flow prediction  
Keyword(2) Pressure sensor  
Keyword(3) Time-series image  
Keyword(4) Machine learning  
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1st Author's Name Takahiro Ueno  
1st Author's Affiliation Fukuoka University (Fukuoka Univ.)
2nd Author's Name Koki Ozono  
2nd Author's Affiliation Advantech Co., Ltd. (AJP)
3rd Author's Name Masayoshi Ohashi  
3rd Author's Affiliation Fukuoka University (Fukuoka Univ.)
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Speaker Author-1 
Date Time 2024-02-29 15:50:00 
Presentation Time 20 minutes 
Registration for SeMI 
Paper # SeMI2023-77 
Volume (vol) vol.123 
Number (no) no.400 
Page pp.37-41 
#Pages 5 
Date of Issue 2024-02-22 (SeMI) 

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