Kobayashi Masakazu 小林正和

… Alternative Names

Masakazu Kobayashi 小林正和

KOBAYASHI Masakazu 小林正和

Less

Researcher Number	40409652
Other IDs
Affiliation (Current)	2025: 豊田工業大学, 工学部, 准教授
Affiliation (based on the past Project Information) *help	2014 – 2023: 豊田工業大学, 工学部, 准教授 2008 – 2011: 豊田工業大学, 工学部, 准教授
Review Section/Research Field	Principal Investigator Basic Section 90010:Design-related / Design science / Design engineering/Machine functional elements/Tribology Except Principal Investigator Design engineering/Machine functional elements/Tribology
Keywords	Principal Investigator 意匠設計 / 感性工学 / 深層学習 / 敵対的生成ネットワーク / 畳み込みニューラルネットワーク / ロバスト設計 / 設計工学 / 最適設計 / 感性設計 / セマンティックセグメンテーション … More / CAM（クラス活性化マッピング） / GAN（敵対的生成ネットワーク） / CNN（畳み込みニューラルネットワーク） / アクティブラーニング / ファインチューニング / ラフ集合 / クラス活性化マッピング / 生成AI / ロバスト最適化 / 応答曲面法 / 人工ニューラルネットワーク / タグチメソッド / クラスタリング / 多目的最適化 / 意匠設計支援法 / 遺伝的アルゴリズム / NIRS / ニューラルネットワーク / ラフ集合理論 / 自己組織化写像 / 設計最適化 / サスペンション / 自動車 / 構造最適化 / 機械要素 / 形状最適化 / トポロジー最適化 / 自動車サスペンション / コンプライアントメカニズム … More Except Principal Investigator ラプラシアン / 意匠設計 / 境界条件 / フィッティング / 細分割曲面 / 平滑化 / 三角形メッシュ Less

Robust aesthetic design using deep learning with consideration of variations in customer Kansei evaluation and inter-customer Kansei variationPrincipal Investigator
- Principal Investigator
  
  小林正和
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 90010:Design-related
- Research Institution
  Toyota Technological Institute
Method for aesthetic design based on customer's kansei evaluation using deep learningPrincipal Investigator
- Principal Investigator
  
  Kobayashi Masakazu
- Project Period (FY)
  2020 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 90010:Design-related
- Research Institution
  Toyota Technological Institute
Robust aesthetic design for customers with divers kaneiPrincipal Investigator
- Principal Investigator
  
  Kobayashi Masakazu
- Project Period (FY)
  2017 – 2020
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Design science
- Research Institution
  Toyota Technological Institute
Aesthetic design method based on the analysis of the relationships between kansei evaluation results and aesthetic features of existing productsPrincipal Investigator
- Principal Investigator
  
  Masakazu Kobayashi
- Project Period (FY)
  2014 – 2017
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Design science
- Research Institution
  Toyota Technological Institute
Optimal design of a vehicle suspension based on a compliant mechanismPrincipal Investigator
- Principal Investigator
  
  KOBAYASHI Masakazu
- Project Period (FY)
  2009 – 2011
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Design engineering/Machine functional elements/Tribology
- Research Institution
  Toyota Technological Institute
High-quality styling design with a triangle mesh
- Principal Investigator
  
  HIGASHI Masatake
- Project Period (FY)
  2008 – 2010
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Design engineering/Machine functional elements/Tribology
- Research Institution
  Toyota Technological Institute

All 2024 2023 2022 2021 2020 2019 2018 2016 2012 2011 2010 2009 Other

All Journal Article Presentation

[Journal Article] Design Generation Using Stable Diffusion and Questionnaire Survey2024
- Author(s)
  Kobayashi Masakazu、Kume Katsuyoshi
- Journal Title
  
  Computer-Aided Design and Applications
  
  Volume: 21 Pages: 859-868
- DOI
  10.14733/cadaps.2024.859-868
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K12540
[Journal Article] Aesthetic Design Based on the Analysis of Questionnaire Results Using Deep Learning Techniques2022
- Author(s)
  [1]Kobayashi, M., Fujita, S. and Wada, T.
- Journal Title
  
  Computer-Aided Design & Applications
  
  Volume: 19 Issue: 3 Pages: 602-611
- DOI
  10.14733/cadaps.2022.602-611
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K12540
[Journal Article] Generation of Product Design Using Gan Based on Customer's Kansei Evaluation2022
- Author(s)
  Masakazu Kobayshi, Pongsasit Thongpramoon
- Journal Title
  
  Proceedings of 9th International Conference on Kansei Engineering and Emotion Research 2022
  
  Volume: -
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K12540
[Journal Article] Product Recommendation Based on Analysis of Aesthetic Elements Used to Customer’s Favorite Products2021
- Author(s)
  Masakazu Kobayashi, Tomoki Takeda
- Journal Title
  
  Computer-Aided Design and Applications
  
  Volume: 18 (4) Issue: 4 Pages: 682-691
- DOI
  10.14733/cadaps.2021.682-691
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17K00737
[Journal Article] Multi-objective Aesthetic Design Optimization for Minimizing the Effect of Variation in Customer Kansei2020
- Author(s)
  Masakazu Kobayashi
- Journal Title
  
  Computer-Aided Design and Applications
  
  Volume: 17(4) Issue: 4 Pages: 690-698
- DOI
  10.14733/cadaps.2020.690-698
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17K00737
[Journal Article] Reuse of Kansei Evaluation Results for the Aesthetic Design of Different Types of Products2019
- Author(s)
  Masakazu Kobayashi, Fumi Shibata
- Journal Title
  
  Computer-Aided Design and Applications
  
  Volume: 16(1) Pages: 150-160
- DOI
  10.14733/cadconfp.2018.16-20
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17K00737
[Journal Article] Method for grouping of customers and aesthetic design based on rough set theory2018
- Author(s)
  Masakazu Kobayashi, Kouki Niwa
- Journal Title
  
  Computer-Aided Design and Applications
  
  Volume: 15(4) Issue: 4 Pages: 565-574
- DOI
  10.1080/16864360.2017.1419644
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-26870693
[Journal Article] A Method for Supporting Aesthetic Design Based on the Analysis of the Relationships between Customer Kansei and Aesthetic Element2016
- Author(s)
  Masakazu Kobayashi, Takuma Kinumura, Masatake Higashi
- Journal Title
  
  Computer-Aided Design and Applications
  
  Volume: 13(3) Issue: 3 Pages: 281-288
- DOI
  10.1080/16864360.2015.1114385
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-26870693
[Journal Article] A Method of Gathering, Selecting and Hierarchizing Kansei Words for a Hierarchized Kansei Model2016
- Author(s)
  M. Kobayashi, T. Kinumura
- Journal Title
  
  Computer-Aided Design and Applications
  
  Volume: 14(4) Issue: 4 Pages: 464-471
- DOI
  10.1080/16864360.2016.1257188
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-26870693
[Journal Article] Efficient Fitting of Subdivision Surfaces by Simplified Newton Method2010
- Author(s)
  Masatake Higashi, Daisuke Mori, Shinji Seo, Masakazu Kobayashi
- Journal Title
  
  Computer-Aided Design and Applications 7(6)
  
  Pages: 821-834
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20560139
[Journal Article] Feature-Preserving Anisotropic Smoothing for Meshes with Large-Scale Noise2009
- Author(s)
  Masatake Higashi, Tetsuo Oya, Tetsuro Sugiura, Masakazu Kobayashi
- Journal Title
  
  Computer-Aided Design and Applications 6(3)
  
  Pages: 365-374
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20560139
[Journal Article] Boundary Coditions for High-Quality Loop Subdivision surfaces
- Author(s)
  Masatake Higashi, Shinji Seo, Masakazu Kobayashi, Tetsuo Oya
- Journal Title
  
  Computer-Aided Design and Applications 8(in print)
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20560139
[Presentation] 画像生成 AI を用いた意匠設計法の検討2023
- Author(s)
  小林正和，久米克佳
- Organizer
  第33回設計工学・システム部門講演会
- Data Source
  KAKENHI-PROJECT-20K12540
[Presentation] 顧客の感性評価に基づく製品意匠設計2022
- Author(s)
  小林正和
- Organizer
  日本応用数理学会第19回研究部会連合発表会
- Data Source
  KAKENHI-PROJECT-20K12540
[Presentation] Optimal design of product aesthetics based on rough set theory and deep learning techniques2022
- Author(s)
  Masakazu Kobayashi, Yuki Orii
- Organizer
  Asian Congress of Structural and Multidisciplinary Optimization 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K12540
[Presentation] Aesthetic Design Based on the Analysis of Questionnaire Results Using Deep Learning Techniques2021
- Author(s)
  Masakazu Kobayashi
- Organizer
  CAD'21
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K12540
[Presentation] Study on optimal aesthetic design using CNN as an evaluator2020
- Author(s)
  Masakazu Kobayashi
- Organizer
  Asian Congress of Structural and Multidisciplinary Optimization 2020 (ACSMO2020)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K00737
[Presentation] 感性のばらつきを考慮したロバスト最適設計手法の提案2019
- Author(s)
  長谷川峻己，小林正和
- Organizer
  Designシンポジウム2019
- Data Source
  KAKENHI-PROJECT-17K00737
[Presentation] Optimization of similarity indices among aesthetic elements for the recommendation system based on the evaluation history of various types of products2019
- Author(s)
  Masakazu Kobayashi
- Organizer
  13th World Congress of Structural and Multidisciplinary Optimization
- Data Source
  KAKENHI-PROJECT-17K00737
[Presentation] 顧客の感性のばらつきを考慮した多目的最適意匠設計2018
- Author(s)
  小林正和
- Organizer
  最適化シンポジウム2018（OPTIS2018）
- Data Source
  KAKENHI-PROJECT-17K00737
[Presentation] Optimal design of product aesthetics considering variation of customers' kanesi2018
- Author(s)
  Masakazu Kobayashi
- Organizer
  The Asian Congress of Structural and Multidisciplinary Optimization 2018
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K00737
[Presentation] A Method Of Gathering, Selecting And Hierarchizing Kansei Words For The Aesthetic Design Support Method Based On The Hierarchized Kansei Model2016
- Author(s)
  Masakazu Kobayashi, Takuma Kinumura
- Organizer
  CAD'16
- Place of Presentation
  University of British Columbia, Vancouver, Canada
- Year and Date
  2016-06-27
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26870693
[Presentation] Exploration of hints about a new aesthetic design based on a combination of aesthetic features of existing products2016
- Author(s)
  M. Kobayashi, N. Yamatsuta
- Organizer
  2016 Asia Design Engineering Workshop (A-DEWS 2016)
- Place of Presentation
  Osaka University（大阪府吹田市）
- Year and Date
  2016-12-12
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26870693
[Presentation] Optimal design of product aesthetics based on customer’s preference using genetic programing and algorithm2016
- Author(s)
  M. Kobayashi, T. Kinumura
- Organizer
  Asian Congress of Structural and Multidisciplinary Optimization 2016
- Place of Presentation
  Nagasaki Brick Hall（長崎県長崎市）
- Year and Date
  2016-05-22
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26870693
[Presentation] Optimal Design Method for a Vehicle Suspension Using a Compliant Mechanism Considering Static and Dynamic Characteristics2012
- Author(s)
  M. Kobayashi, S. Omoto, and M. Higashi
- Organizer
  The Seventh China-Japan-Korea Joint Symposium on Optimization of Structural and Mechanical Systems
- Place of Presentation
  Huangshan, China
- Year and Date
  2012-06-19
- Data Source
  KAKENHI-PROJECT-21760115
[Presentation] コンプライアントメカニズムを用いた自動車サスペンションの静-動的機能を考慮した構造最適設計法の検討2011
- Author(s)
  於本傑, 小林正和, 東正毅
- Organizer
  日本機械学会第21回設計工学・システム部門講演会
- Place of Presentation
  山形大学(山形県)
- Year and Date
  2011-10-22
- Data Source
  KAKENHI-PROJECT-21760115
[Presentation] コンプライアントメカニズムを用いた自動車サスペンションの静-動的機能を考慮した構造最適設計法の検討2011
- Author(s)
  於本傑, 小林正和, 東正毅
- Organizer
  日本機械学会第21回設計工学・システム部門講演会
- Place of Presentation
  山形大学
- Year and Date
  2011-10-22
- Data Source
  KAKENHI-PROJECT-21760115
[Presentation] コンプライアントメカニズムに基づく自動車サスペンションの振動特性の検証2010
- Author(s)
  小林正和
- Organizer
  第9回最適化シンポジウム
- Place of Presentation
  ウィンクあいち
- Year and Date
  2010-12-09
- Data Source
  KAKENHI-PROJECT-21760115
[Presentation] Study on a Design Method for a Compliant Vehicle Suspension and Evaluation of Its Feasibility2010
- Author(s)
  Suguru Omoto, Masakazu Kobayashi, Masatake Higashi
- Organizer
  The 6th China-Japan-Korea Joint Symposium on Optimization of Structural and Mechanical Systems
- Place of Presentation
  ホテル京都ガーデンパレス(京都市)
- Year and Date
  2010-06-24
- Data Source
  KAKENHI-PROJECT-21760115
[Presentation] Study on a Design Method for a Compliant Vehicle Suspension and Evaluation of Its Feasibility2010
- Author(s)
  S. Omoto, M. Kobayashi, and M. Higashi
- Organizer
  The 6th China-Japan-Korea Joint Symposium on Optimization of Structural and Mechanical Systems
- Place of Presentation
  Kyoto, Japan
- Year and Date
  2010-06-24
- Data Source
  KAKENHI-PROJECT-21760115
[Presentation] コンプライアントメカニズムに基づく自動車サスペンションの振動特性の検証2010
- Author(s)
  小林正和
- Organizer
  第9回最適化シンポジウム
- Place of Presentation
  ウィンクあいち(名古屋市)
- Year and Date
  2010-12-09
- Data Source
  KAKENHI-PROJECT-21760115
[Presentation] Design method for a compliant vehicle suspension based on a combination of topology and shape optimizations2009
- Author(s)
  Masakazu Kobayashi
- Organizer
  WCSMO8, Eighth World Congress on Structural and Multidisciplinary Optimization
- Place of Presentation
  Lisbon, Portugal
- Year and Date
  2009-06-03
- Data Source
  KAKENHI-PROJECT-21760115
[Presentation] Design method for a compliant vehicle suspension based on a combination of topology and shape optimizations2009
- Author(s)
  M. Kobayashi and M. Higashi
- Organizer
  The Eighth World Congress on Structural and Multidisciplinary Optimization
- Place of Presentation
  Lisbon, Portugal
- Year and Date
  2009-06-03
- Data Source
  KAKENHI-PROJECT-21760115
[Presentation] Study on a Compliant Vehicle Suspension-Evaluation of vibration characteristics-2009
- Author(s)
  M. Kobayashi and M, Higashi
- Organizer
  Design Engineering Workshop 2009
- Place of Presentation
  Okinawa, Japan
- Year and Date
  2009-10-27
- Data Source
  KAKENHI-PROJECT-21760115
[Presentation] Study on a Compliant Vehicle Suspension -Evaluation of vibration characteristics-2009
- Author(s)
  Masakazu Kobayashi
- Organizer
  Design Engineering Workshop 2009
- Place of Presentation
  沖縄県読谷村
- Year and Date
  2009-10-27
- Data Source
  KAKENHI-PROJECT-21760115
[Presentation] A method for supporting aesthetic design based on the analysis of the relationships between customer kansei and aesthetic element
- Author(s)
  Masakazu Kobayashi, Takuma Kinumura and Masatake Higashi
- Organizer
  CAD'15
- Place of Presentation
  University of Greenwich, London, UK
- Year and Date
  2015-06-22 – 2015-06-25
- Data Source
  KAKENHI-PROJECT-26870693

1. HIGASHI Masatake (70189752)

# of Collaborated Projects: 1 results

# of Collaborated Products: 3 results
2. OYA TETSUO (10410846)

# of Collaborated Projects: 1 results

# of Collaborated Products: 2 results

Kobayashi Masakazu 小林 正和

Masakazu Kobayashi 小林 正和

KOBAYASHI Masakazu 小林 正和

Research Projects

Research Products

Co-Researchers

Robust aesthetic design using deep learning with consideration of variations in customer Kansei evaluation and inter-customer Kansei variationPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Method for aesthetic design based on customer's kansei evaluation using deep learningPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Robust aesthetic design for customers with divers kaneiPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Aesthetic design method based on the analysis of the relationships between kansei evaluation results and aesthetic features of existing productsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Optimal design of a vehicle suspension based on a compliant mechanismPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

High-quality styling design with a triangle mesh

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] Design Generation Using Stable Diffusion and Questionnaire Survey2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Aesthetic Design Based on the Analysis of Questionnaire Results Using Deep Learning Techniques2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Generation of Product Design Using Gan Based on Customer's Kansei Evaluation2022

Author(s)

Journal Title

Data Source

[Journal Article] Product Recommendation Based on Analysis of Aesthetic Elements Used to Customer’s Favorite Products2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Multi-objective Aesthetic Design Optimization for Minimizing the Effect of Variation in Customer Kansei2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Reuse of Kansei Evaluation Results for the Aesthetic Design of Different Types of Products2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Method for grouping of customers and aesthetic design based on rough set theory2018

Author(s)

Journal Title

DOI

Data Source

[Journal Article] A Method for Supporting Aesthetic Design Based on the Analysis of the Relationships between Customer Kansei and Aesthetic Element2016

Author(s)

Journal Title

DOI

Kobayashi Masakazu 小林正和

Masakazu Kobayashi 小林正和

KOBAYASHI Masakazu 小林正和