HITOKOTO MASAYUKI 一言正之

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HITOKOTO Masayuki 一言正之

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Researcher Number	40463559
Other IDs
Affiliation (Current)	2025: 日本工営株式会社中央研究所, 先端研究センター, 課長
Affiliation (based on the past Project Information) *help	2021 – 2023: 日本工営株式会社中央研究所, 先端研究センター, 課長 2018 – 2022: 日本工営株式会社中央研究所, 先端研究開発センター, 研究員
Review Section/Research Field	Principal Investigator Basic Section 22040:Hydroengineering-related Except Principal Investigator Basic Section 22040:Hydroengineering-related
Keywords	Principal Investigator XRAIN / ニューラルネットワーク / 氾濫予測 / 人工知能 / 深層学習 / 機械学習 / 都市河川 / ダム流入量予測 / 河川水位予測 / 洪水予測 … More Except Principal Investigator … More 貯水位予測 / ダム操作 / 異常洪水時 / ダム操作判断支援 / 機械学習法 / ダム貯水位予測 / ダム群の連携 / 異常洪水時防災操作 / クラスター分析 / 事前放流 / 気候変動 / 予測手法の一般化 / 未経験事例 / Elastic Net / スパースモデリング / 機械学習 / ダム流入量予測 Less

Development of Dam Operation Support Technology for Minimizing Flood Damage Using Machine Learning Methods
- Principal Investigator
  
  Nakatsugawa Makoto
- Project Period (FY)
  2020 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 22040:Hydroengineering-related
- Research Institution
  Muroran Institute of Technology
Real-time flood prediction of urban rivers with artificial intelligencePrincipal Investigator
- Principal Investigator
  
  HITOKOTO Masayuki
- Project Period (FY)
  2018 – 2023
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 22040:Hydroengineering-related
- Research Institution
  Research and Development Center, Nippon Koei Co., Ltd.

All 2024 2023 2022 2021 2020 2019

All Journal Article Presentation Book

[Book] AI×防災2022
- Author(s)
  古田均、北原武嗣、野村泰稔、宮本崇、一言正之、伊藤真一、広兼道幸、高橋亨輔
- Total Pages
  209
- Publisher
  電気書院
- ISBN
  4485301192
- Data Source
  KAKENHI-PROJECT-18K13843
[Journal Article] 深層学習を用いた流出解析の技術動向およびモデル構築手順のレビュー（掲載予定）2024
- Author(s)
  一言正之、荒木健、箱石健太、遠藤優斗
- Journal Title
  
  河川技術論文集第30巻
  
  Volume: 30
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18K13843
[Journal Article] CNNによる流出解析における降雨の時空間分布の影響検討（搭載決定）2023
- Author(s)
  西口亮太・善光寺慎悟・高木康行・一言正之
- Journal Title
  
  河川技術論文集
  
  Volume: 29
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18K13843
[Journal Article] Consideration of XAI in Inflow Prediction Model Using Convolutional Neural Network2023
- Author(s)
  箱石健太、一言正之、善光寺慎悟、西口亮太
- Journal Title
  
  Artificial Intelligence and Data Science
  
  Volume: 4 Issue: 3 Pages: 539-546
- DOI
  10.11532/jsceiii.4.3_539
- ISSN
  2435-9262
- Language
  Japanese
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K13843
[Journal Article] Accuracy Validation of Low Water Inflow Considering Snowmelt Season at 4 KINUGAWA upper Dams Using Deep Learning2023
- Author(s)
  箱石健太、一言正之、川上拓、猪狩彬寛、善光寺慎悟、原俊彦、真柄圭
- Journal Title
  
  Artificial Intelligence and Data Science
  
  Volume: 4 Issue: 3 Pages: 547-552
- DOI
  10.11532/jsceiii.4.3_547
- ISSN
  2435-9262
- Language
  Japanese
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K13843
[Journal Article] Novel Data Augmentation Method for Rainfall-runoff Calculation by Machine Learning2023
- Author(s)
  Hitokoto Masayuki、Araki Takeru、Hakoishi Kenta、Endo Yuto
- Journal Title
  
  Proceedings of the 40th IAHR World Congress
  
  Volume: 40 Pages: 3331-3338
- DOI
  10.3850/978-90-833476-1-5_iahr40wc-p1430-cd
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18K13843
[Journal Article] 深層学習を用いたダム流入量予測における学習データ拡張方法の提案　－未経験規模の出水に対する適用性の向上－（登載決定）2022
- Author(s)
  一言正之、荒木健、箱石健太、遠藤優斗
- Journal Title
  
  河川技術論文集
  
  Volume: 28
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18K13843
[Journal Article] PROPOSAL FOR DATA AUGMENTATION METHOD FOR DAM INFLOW PREDICTION USING DEEP LEARNING - IMPROVEMENT OF APPLICABILITY FOR UNPRECEDENTED SCALE RUNOFF -2022
- Author(s)
  一言正之、荒木健、箱石健太、遠藤優斗
- Journal Title
  
  Advances in River Engineering
  
  Volume: 28 Issue: 0 Pages: 67-72
- DOI
  10.11532/river.28.0_67
- ISSN
  2436-6714
- Language
  Japanese
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K04698
[Journal Article] EVALUATION OF APPLICABILITY OF DATA AUGMENTATION METHOD FOR DAM INFLOW PREDICTION USING DEEP LEARNING2022
- Author(s)
  HITOKOTO Masayuki、ARAKI Takeru、HAKOISHI Kenta、ENDO Yuto
- Journal Title
  
  Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering)
  
  Volume: 78 Issue: 2 Pages: I_175-I_180
- DOI
  10.2208/jscejhe.78.2_I_175
- ISSN
  2185-467X
- Language
  Japanese
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18K13843, KAKENHI-PROJECT-20K04698
[Journal Article] APPLICATION OF DAM OPERATION MODEL USING DEEP REINFORCEMENT LEARNING IN RECENT FLOOD CASES2021
- Author(s)
  箱石健太、一言正之
- Journal Title
  
  Intelligence, Informatics and Infrastructure
  
  Volume: 2 Issue: J2 Pages: 165-171
- DOI
  10.11532/jsceiii.2.J2_165
- NAID
  130008118245
- ISSN
  2435-9262
- Language
  Japanese
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K04698
[Journal Article] RIVER WATER LEVEL PREDICTION USING STACKING2020
- Author(s)
  箱石健太、荒木健、一言正之
- Journal Title
  
  Intelligence, Informatics and Infrastructure
  
  Volume: 1 Issue: J1 Pages: 453-458
- DOI
  10.11532/jsceiii.1.J1_453
- NAID
  130007940757
- ISSN
  2435-9262
- Year and Date
  2020-11-11
- Language
  Japanese
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K13843
[Presentation] 次元圧縮を用いた深層学習による洪水氾濫域予測モデルの構築と評価2024
- Author(s)
  中山龍也、羽物裕人、一言正之、樫山和男
- Organizer
  土木学会全国大会第79回年次学術講演会
- Data Source
  KAKENHI-PROJECT-18K13843
[Presentation] Neural Networksに基づく氾濫浸水深予測モデルの構築2024
- Author(s)
  中山龍也、羽物裕人、一言正之、樫山和男
- Organizer
  第51回土木学会関東支部技術研究発表会
- Data Source
  KAKENHI-PROJECT-18K13843
[Presentation] New data augmentation method for rainfall-runoff calculation using machine learning and examining it's applicability2024
- Author(s)
  Hitokoto Masayuki、Araki Takeru
- Organizer
  15th Hydroinformatics International Conference
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K13843
[Presentation] River-stage prediction for urban small rivers with deep learning model by using x-band radar rainfall2019
- Author(s)
  Masayuki Hitokoto, Masaaki Sakuraba
- Organizer
  EGU General Assembly 2019
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K13843

1. Nakatsugawa Makoto (10344425)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
2. 小林洋介 (10735103)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

HITOKOTO MASAYUKI 一言 正之

HITOKOTO Masayuki 一言 正之

Research Projects

Research Products

Co-Researchers

Development of Dam Operation Support Technology for Minimizing Flood Damage Using Machine Learning Methods

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Real-time flood prediction of urban rivers with artificial intelligencePrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Book] AI×防災2022

Author(s)

Total Pages

Publisher

ISBN

Data Source

[Journal Article] 深層学習を用いた流出解析の技術動向およびモデル構築手順のレビュー（掲載予定）2024

Author(s)

Journal Title

Data Source

[Journal Article] CNNによる流出解析における降雨の時空間分布の影響検討（搭載決定）2023

Author(s)

Journal Title

Data Source

[Journal Article] Consideration of XAI in Inflow Prediction Model Using Convolutional Neural Network2023

Author(s)

Journal Title

DOI

ISSN

Language

Data Source

[Journal Article] Accuracy Validation of Low Water Inflow Considering Snowmelt Season at 4 KINUGAWA upper Dams Using Deep Learning2023

Author(s)

Journal Title

DOI

ISSN

Language

Data Source

[Journal Article] Novel Data Augmentation Method for Rainfall-runoff Calculation by Machine Learning2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] 深層学習を用いたダム流入量予測における学習データ拡張方法の提案 －未経験規模の出水に対する適用性の向上－（登載決定）2022

Author(s)

Journal Title

Data Source

[Journal Article] PROPOSAL FOR DATA AUGMENTATION METHOD FOR DAM INFLOW PREDICTION USING DEEP LEARNING - IMPROVEMENT OF APPLICABILITY FOR UNPRECEDENTED SCALE RUNOFF -2022

Author(s)

Journal Title

DOI

ISSN

Language

Data Source

[Journal Article] EVALUATION OF APPLICABILITY OF DATA AUGMENTATION METHOD FOR DAM INFLOW PREDICTION USING DEEP LEARNING2022

Author(s)

Journal Title

DOI

ISSN

Language

Data Source

[Journal Article] APPLICATION OF DAM OPERATION MODEL USING DEEP REINFORCEMENT LEARNING IN RECENT FLOOD CASES2021

Author(s)

Journal Title

DOI

NAID

ISSN

Language

Data Source

[Journal Article] RIVER WATER LEVEL PREDICTION USING STACKING2020

Author(s)

Journal Title

DOI

HITOKOTO MASAYUKI 一言正之

HITOKOTO Masayuki 一言正之

[Journal Article] 深層学習を用いたダム流入量予測における学習データ拡張方法の提案　－未経験規模の出水に対する適用性の向上－（登載決定）2022