Tamaki Takashi 玉置教司

… Alternative Names

玉置教司タマキタカシ

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Researcher Number	40715728
Other IDs
Affiliation (Current)	2025: 愛媛県農林水産研究所, 林業研究センター, 担当係長
Affiliation (based on the past Project Information) *help	2022: 愛媛県農林水産研究所, 林業研究センター, 担当係長 2020 – 2021: 愛媛県農林水産研究所, 林業研究センター, 主任研究員
Review Section/Research Field	Except Principal Investigator Basic Section 39070:Landscape science-related
Keywords	Except Principal Investigator 非破壊 / 街路樹 / 畳込ニューラルネットワーク / 非破壊測定 / 人工知能 / 共振周波数 / 内部割れ / 木材 / 空洞 / 腐朽 / 樹木

Fabrication of nondestructive diagnostic equipment for internal defects of wood using artificial intelligence
- Principal Investigator
  
  Wada Naoki
- Project Period (FY)
  2020 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 39070:Landscape science-related
- Research Institution
  Niihama National College of Technology

All 2023 2022 2021 2020

All Journal Article Presentation

[Journal Article] Crack Severity Classification from Timber Cross-Sectional Images Using Convolutional Neural Network2023
- Author(s)
  Shigeru Kato, Naoki Wada, Kazuki Shiogai, Takashi Tamaki, Tomomichi Kagawa, Renon Toyosaki, Hajime Nobuhara
- Journal Title
  
  Applied Sciences
  
  Volume: 13(3)、1280 Issue: 3 Pages: 1280-1280
- DOI
  10.3390/app13031280
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K06116
[Journal Article] Evaluation of the Crack Severity in Squared Timber Using CNN2022
- Author(s)
  Shigeru Kato, Naoki Wada, Kazuki Shiogai, Takashi Tamaki
- Journal Title
  
  Lecture Notes in Networks and Systems
  
  Volume: 451(3) Pages: 441-447
- DOI
  10.1007/978-3-030-99619-2_42
- ISBN
  9783030996185, 9783030996192
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K06116
[Journal Article] Automatic Classification of Crack Severity from Cross Section Image of Timber using Simple Convolutional Neural Network2022
- Author(s)
  Shigeru Kato, Naoki Wada, Kazuki Shiogai, Takashi Tamaki, Tomomichi Kagawa, Renon Toyosaki, Hajime Nobuhara
- Journal Title
  
  Applied Sciences
  
  Volume: 12(16)、8250 Issue: 16 Pages: 8250-8250
- DOI
  10.3390/app12168250
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K06116
[Presentation] 角材の振動特性から人工知能を用いた内部割れ評価2023
- Author(s)
  和田直樹、廣田悠力、塩貝一樹、加藤茂、玉置教司、櫻井直樹
- Organizer
  第73回日本木材学会大会（福岡）B15-P-18
- Data Source
  KAKENHI-PROJECT-20K06116
[Presentation] CNNを使った杉角材の内部割れ診断2022
- Author(s)
  廣田悠力、堀内優也、和田直樹、塩貝一樹、加藤茂、玉置教司、櫻井直樹
- Organizer
  令和4年度電気・電子・情報関係学会四国支部連合大会（徳島大学）、7-6
- Data Source
  KAKENHI-PROJECT-20K06116
[Presentation] 人工知能を用いた丸太の空洞評価2022
- Author(s)
  和田直樹, 山口雄太郎, 塩貝一樹, 加藤茂, 玉置教司, 櫻井直樹
- Organizer
  第72回日本木材学会大会B15-02-1600（名古屋、岐阜）
- Data Source
  KAKENHI-PROJECT-20K06116
[Presentation] 人工知能を用いた角材の内部割れ評価2022
- Author(s)
  玉置教司, 和田直樹, 堀内優也, 塩貝一樹, 加藤茂, 櫻井直樹
- Organizer
  第72回日本木材学会大会B15-02-1545（名古屋、岐阜）
- Data Source
  KAKENHI-PROJECT-20K06116
[Presentation] 丸太振動測定用携帯型加振受振器の製作2021
- Author(s)
  山口雄太郎, 堀内優也, 廣田悠力, 塩貝一樹, 和田直樹, 加藤茂, 玉置教司,
- Organizer
  令和3年度電気・電子・情報関係学会四国支部連合大会講演論文集7-4, 62
- Data Source
  KAKENHI-PROJECT-20K06116
[Presentation] 丸太振動測定装置における大型加振器の検討2021
- Author(s)
  眞鍋京佑, 山口雄太郎, 堀内優也, 塩貝一樹, 和田直樹, 加藤茂, 玉置教司, 櫻井直樹
- Organizer
  令和3年度電気・電子・情報関係学会四国支部連合大会講演論文集7-9, 67
- Data Source
  KAKENHI-PROJECT-20K06116
[Presentation] CNN を用いた丸太の空洞検出2021
- Author(s)
  堀内優也, 山口雄太郎, 川人直也, 塩貝一樹, 和田直樹, 加藤茂, 玉置教司
- Organizer
  令和3年度電気・電子・情報関係学会四国支部連合大会講演論文集7-8, 66
- Data Source
  KAKENHI-PROJECT-20K06116
[Presentation] CNNを用いた樹木内部の空洞検出2020
- Author(s)
  川人直也、重松優太、伊藤龍二、加藤茂、塩貝一樹、和田直樹、玉置教司、櫻井直樹
- Organizer
  令和２年度電気関係学会四国支部連合大会15-17
- Data Source
  KAKENHI-PROJECT-20K06116

1. Wada Naoki (90632787)

# of Collaborated Projects: 1 results

# of Collaborated Products: 11 results
2. 加藤茂 (00413857)

# of Collaborated Projects: 1 results

# of Collaborated Products: 11 results
3. 塩貝一樹 (50757664)

# of Collaborated Projects: 1 results

# of Collaborated Products: 11 results

Tamaki Takashi 玉置 教司

玉置 教司 タマキ タカシ

Research Projects

Research Products

Co-Researchers

Fabrication of nondestructive diagnostic equipment for internal defects of wood using artificial intelligence

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Crack Severity Classification from Timber Cross-Sectional Images Using Convolutional Neural Network2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Evaluation of the Crack Severity in Squared Timber Using CNN2022

Author(s)

Journal Title

DOI

ISBN

Data Source

[Journal Article] Automatic Classification of Crack Severity from Cross Section Image of Timber using Simple Convolutional Neural Network2022

Author(s)

Journal Title

DOI

Data Source

[Presentation] 角材の振動特性から人工知能を用いた内部割れ評価2023

Author(s)

Organizer

Data Source

[Presentation] CNNを使った杉角材の内部割れ診断2022

Author(s)

Organizer

Data Source

[Presentation] 人工知能を用いた丸太の空洞評価2022

Author(s)

Organizer

Data Source

[Presentation] 人工知能を用いた角材の内部割れ評価2022

Author(s)

Organizer

Data Source

[Presentation] 丸太振動測定用携帯型加振受振器の製作2021

Author(s)

Organizer

Data Source

[Presentation] 丸太振動測定装置における大型加振器の検討2021

Author(s)

Organizer

Data Source

[Presentation] CNN を用いた丸太の空洞検出2021

Author(s)

Organizer

Data Source

[Presentation] CNNを用いた樹木内部の空洞検出2020

Author(s)

Organizer

Data Source

Tamaki Takashi 玉置教司

玉置教司タマキタカシ