Sasaki Hidenori 佐々木秀徳

… Alternative Names

佐々木秀徳ササキヒデノリ

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Researcher Number	70909176
Other IDs
Affiliation (Current)	2025: 法政大学, 理工学部, 講師
Affiliation (based on the past Project Information) *help	2025: 法政大学, 理工学部, 講師 2022 – 2023: 法政大学, 理工学部, 講師
Review Section/Research Field	Principal Investigator Basic Section 21010:Power engineering-related Except Principal Investigator Medium-sized Section 21:Electrical and electronic engineering and related fields
Keywords	Principal Investigator 埋込型永久磁石同期モータ / 回転機 / 深層学習 / トポロジー最適化 / 生成モデル / モータ / 自動設計 / 機械学習 / XAI Except Principal Investigator モビリティ用モータ / 深層学習 / トポロジー最適化

Topology Optimization of High Torque Density Mobility Motors Using Deep Learning and Experimental Verificationn
- Principal Investigator
  
  五十嵐一
- Project Period (FY)
  2025 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Review Section
  
  Medium-sized Section 21:Electrical and electronic engineering and related fields
- Research Institution
  Hokkaido University
Development of Electrical Device Topology Optimization with Integrated Consideration of Multiple Factors and CharacteristicsPrincipal Investigator
- Principal Investigator
  
  佐々木秀徳
- Project Period (FY)
  2025 – 2027
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 21010:Power engineering-related
- Research Institution
  Hosei University
モータ構造と特性の関係抽出を用いた対話型自動トポロジー最適化の実現Principal Investigator
- Principal Investigator
  
  佐々木秀徳
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 21010:Power engineering-related
- Research Institution
  Hosei University

All 2024 2023 2022

All Journal Article Presentation

[Journal Article] Generalization Performance in Predicting Torque Characteristics Using Convolutional Neural Network and Stator Magnetic Flux2024
- Author(s)
  Iwata Kazuhisa、Sasaki Hidenori、Igarashi Hajime、Nakagawa Daisuke、Ueda Tomoya
- Journal Title
  
  IEEE Transactions on Magnetics
  
  Volume: 60 Issue: 3 Pages: 1-4
- DOI
  10.1109/tmag.2023.3303458
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K14247, KAKENHI-PROJECT-21H01301
[Journal Article] Topology Optimization With Shapley Additive Explanations for Permanent Magnet Synchronous Motors2024
- Author(s)
  Sasaki Hidenori、Yamamura Koichi
- Journal Title
  
  IEEE Transactions on Magnetics
  
  Volume: 60 Issue: 3 Pages: 1-4
- DOI
  10.1109/tmag.2023.3325460
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K14247
[Journal Article] Efficiency Improvement in Motor Development Through the Integration of Deep Learning and Topology Optimization2023
- Author(s)
  SASAKI Hidenori
- Journal Title
  
  The Journal of The Institute of Electrical Engineers of Japan
  
  Volume: 143 Issue: 10 Pages: 628-631
- DOI
  10.1541/ieejjournal.143.628
- ISSN
  1340-5551, 1881-4190
- Year and Date
  2023-10-01
- Language
  Japanese
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K14247
[Journal Article] Prediction of IPM Machine Torque Characteristics Using Deep Learning Based on Magnetic Field Distribution2022
- Author(s)
  Sasaki Hidenori、Hidaka Yuki、Igarashi Hajime
- Journal Title
  
  IEEE Access
  
  Volume: 10 Pages: 60814-60822
- DOI
  10.1109/access.2022.3179835
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K14247, KAKENHI-PROJECT-21H01301, KAKENHI-PROJECT-21K20427
[Journal Article] Prediction of Motor Characteristic Using Deep Learning and Acceleration of Topology Optimization2022
- Author(s)
  SASAKI Hidenori
- Journal Title
  
  Journal of the Japan Society of Applied Electromagnetics and Mechanics
  
  Volume: 30 Issue: 4 Pages: 373-378
- DOI
  10.14243/jsaem.30.373
- ISSN
  0919-4452, 2187-9257
- Language
  English
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K14247
[Journal Article] Topology Optimization for Motor Using Multitask Convolutional Neural Network Under Multiple Current Conditions2022
- Author(s)
  Sasaki Hidenori
- Journal Title
  
  IEEE Transactions on Magnetics
  
  Volume: 58 Issue: 9 Pages: 1-4
- DOI
  10.1109/tmag.2022.3179426
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K14247
[Presentation] Physics Informed Neural Networksと有限要素を用いた静磁界解析手法に関する基礎検討2024
- Author(s)
  佐々木秀徳, 鈴木勇大, 佐藤孝洋, 佐藤佑樹
- Organizer
  電気学会　静止器/回転機合同研究会
- Data Source
  KAKENHI-PROJECT-22K14247
[Presentation] 主成分分析を活用したCNNによるSynRMの特性予測手法に関する検討2024
- Author(s)
  関口汐音, 佐々木秀徳, 日高勇気
- Organizer
  令和6年電気学会全国大会
- Data Source
  KAKENHI-PROJECT-22K14247
[Presentation] Physics Informed Neural Networksを用いた二次元静磁界推定に関する基礎検討2024
- Author(s)
  鈴木勇大, 佐々木秀徳, 佐藤孝洋, 佐藤佑樹
- Organizer
  令和6年電気学会全国大会
- Data Source
  KAKENHI-PROJECT-22K14247
[Presentation] モータ最適化（1）AI・機械学習の適用2023
- Author(s)
  佐々木秀徳
- Organizer
  電気学会　産業応用フォーラム「電磁界解析による回転機の高精度性能評価技術」
- Invited
- Data Source
  KAKENHI-PROJECT-22K14247
[Presentation] AIやトポロジー最適化の基礎とモータ設計への適用に関する技術動向2023
- Author(s)
  佐々木秀徳
- Organizer
  TECHNO-FRONTIER 2023 第44 回モータ技術シンポジウム
- Invited
- Data Source
  KAKENHI-PROJECT-22K14247
[Presentation] Pre-Processing for Deep Learning of Motor Characteristics Using Empirical Mode Decomposition2023
- Author(s)
  Kosuke TOMOTANI, Hidenori SASAKI, Ran DONG, Soichiro IKUNO
- Organizer
  ISEM2023
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K14247
[Presentation] SHAPによるIPMSMのトルクリプル寄与領域の可視化2023
- Author(s)
  山村孝市，佐々木秀徳
- Organizer
  令和5年電気学会全国大会
- Data Source
  KAKENHI-PROJECT-22K14247
[Presentation] 経験的モード分解を用いた深層学習によるモータ特性推定精度向上に関する基礎検討2023
- Author(s)
  鞆谷孝祐，佐々木秀徳，生野壮一郎，董　然
- Organizer
  令和5年電気学会全国大会
- Data Source
  KAKENHI-PROJECT-22K14247
[Presentation] ギャップ磁束密度分布を活用した回転機特性を推定する深層学習モデルの精度向上に関する基礎検討2023
- Author(s)
  鞆谷孝祐, 佐々木秀徳
- Organizer
  電気学会　2023年電子・情報・システム部門大会
- Data Source
  KAKENHI-PROJECT-22K14247
[Presentation] 深層学習とトポロジー最適化を併用した電気機器構造の高速逆解析手法に関する検討2023
- Author(s)
  岩田和久, 佐々木秀徳, 五十嵐一, 中川大輔, 上田智哉
- Organizer
  電気学会　静止器/回転機合同研究会
- Data Source
  KAKENHI-PROJECT-22K14247
[Presentation] 畳込み処理を活用したDeep Operator Networkによるモータトルクマップ推定に関する検討2023
- Author(s)
  佐々木秀徳, 岩田和久, 佐藤孝洋, 佐藤佑樹
- Organizer
  電気学会　静止器/回転機合同研究会
- Data Source
  KAKENHI-PROJECT-22K14247
[Presentation] 深層学習を用いたモータ構造の多段階トポロジー最適化に関する基礎検討2022
- Author(s)
  佐々木秀徳，五十嵐一，中川大輔，上田智哉
- Organizer
  令和4年電気学会産業応用部門大会
- Data Source
  KAKENHI-PROJECT-22K14247
[Presentation] Visualization of Contributing region to Motor Characteristics Using Explainable Deep Learning2022
- Author(s)
  Hidenori Sasaki
- Organizer
  IGTE2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K14247
[Presentation] 深層学習による磁石位置と磁性体形状の変化を同時考慮したIPMSMの特性推定に関する検討2022
- Author(s)
  岩田和久，佐々木秀徳，五十嵐一，中川大輔，上田智哉
- Organizer
  MAGDA2022
- Data Source
  KAKENHI-PROJECT-22K14247
[Presentation] SHAPによる深層学習説明性を併用したIPMSMのトポロジー最適化2022
- Author(s)
  佐々木秀徳
- Organizer
  電気学会静止器/回転機合同研究会
- Data Source
  KAKENHI-PROJECT-22K14247

1. 五十嵐一 (90212737)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
2. 日高勇気 (30908398)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 間藤昂允 (51001820)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 大友佳嗣 (60964442)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. 比留間真悟 (90909847)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

Sasaki Hidenori 佐々木 秀徳

佐々木 秀徳 ササキ ヒデノリ

Research Projects

Research Products

Co-Researchers

Topology Optimization of High Torque Density Mobility Motors Using Deep Learning and Experimental Verificationn

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of Electrical Device Topology Optimization with Integrated Consideration of Multiple Factors and CharacteristicsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

モータ構造と特性の関係抽出を用いた対話型自動トポロジー最適化の実現Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Generalization Performance in Predicting Torque Characteristics Using Convolutional Neural Network and Stator Magnetic Flux2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Topology Optimization With Shapley Additive Explanations for Permanent Magnet Synchronous Motors2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Efficiency Improvement in Motor Development Through the Integration of Deep Learning and Topology Optimization2023

Author(s)

Journal Title

DOI

ISSN

Year and Date

Language

Data Source

[Journal Article] Prediction of IPM Machine Torque Characteristics Using Deep Learning Based on Magnetic Field Distribution2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Prediction of Motor Characteristic Using Deep Learning and Acceleration of Topology Optimization2022

Author(s)

Journal Title

DOI

ISSN

Language

Data Source

[Journal Article] Topology Optimization for Motor Using Multitask Convolutional Neural Network Under Multiple Current Conditions2022

Author(s)

Journal Title

DOI

Data Source

[Presentation] Physics Informed Neural Networksと有限要素を用いた静磁界解析手法に関する基礎検討2024

Author(s)

Organizer

Data Source

[Presentation] 主成分分析を活用したCNNによるSynRMの特性予測手法に関する検討2024

Author(s)

Organizer

Data Source

[Presentation] Physics Informed Neural Networksを用いた二次元静磁界推定に関する基礎検討2024

Author(s)

Organizer

Data Source

[Presentation] モータ最適化（1）AI・機械学習の適用2023

Author(s)

Organizer

Data Source

[Presentation] AIやトポロジー最適化の基礎とモータ設計への適用に関する技術動向2023

Author(s)

Organizer

Data Source

[Presentation] Pre-Processing for Deep Learning of Motor Characteristics Using Empirical Mode Decomposition2023

Author(s)

Sasaki Hidenori 佐々木秀徳

佐々木秀徳ササキヒデノリ