Personnel Information

写真a

MITSUI Shingo


Title

Assistant professor

Field

Field of Data Science

Seeds

https://www.shiga-u.ac.jp/wp/wp-content/uploads/seeds17-94-1.pdf

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Research Interests 【 display / non-display 】

  • Silicon detector

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Graduating School 【 display / non-display 】

  • University of Tsukuba， First Cluster of College

    University， 2008.03， Graduated

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Graduate School 【 display / non-display 】

  • The Graduate University for Advanced Studies

    Doctor's Course， 2013.03， Completed

  • University of Tsukuba

    Master's Course， 2010.03， Completed

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Campus Career 【 display / non-display 】

  • Shiga University Data Science and AI Innovation Research Promotion Center，Assistant professor， 2022.04 - Now

  • Shiga University Center for Education and Research of Data Science，Assistant professor， 2021.10 - 2022.03

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External Career 【 display / non-display 】

  • KEK IPNS， Researcher， 2013.06

  • KEK IPNS， Research Assistant， 2013.04

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Association Memberships 【 display / non-display 】

  • THE IRON AND STEEL INSTITUTE OF JAPAN

  • THE PHYSICAL SOCIETY OF JAPAN

  • Japan Association of High Energy Physicists

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Research Areas 【 display / non-display 】

  • High Energy Physics

  • Natural Science / Experimental studies related to particle-, nuclear-, cosmic ray and astro-physics

  • X-ray Residual Stress Measurement

  • Natural Science / Semiconductors, optical properties of condensed matter and atomic physics

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Papers 【 display / non-display 】

  • Anomaly detection in rails using dimensionality reduction， ISIJ International， vol.63 (1) (p.170 - 178) ， 2023.01, Shingo Mitsui, Toshihiko Sasaki, Masayoshi Shinya, Yasuo Arai, Ryutaro Nishimura

    DOI:10.2355/isijinternational.ISIJINT-2022-279, Research paper (scientific journal)， Multiple Authorship

    Authorship：Lead author,　Corresponding author  

  • Material evaluation by Debye-ring measurement system using SOI pixel detector， Meeting Abstracts of the Physical Society of Japan， vol.73 (p.2083) ， 2018, Mitsui Shingo, Sasaki Toshihiko, Nishimura Ryutaro, Shinya Masayoshi, Arai Yasuo, Miyoshi Toshinobu

    DOI:10.11316/jpsgaiyo.73.2.0_2083, ， Single Author

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Review Papers 【 display / non-display 】

  • Performance evaluation of the two chip implementation type SOI pixel detector board， 日本物理学会講演概要集(CD-ROM)， vol.75 (1) ， 2020, 西村龍太郎, 佐々木敏彦, 三井真吾, 新谷正義, 新井康夫, 三好敏喜, 岸本俊二

    , Single Author

  • Performance evaluation of the two chip implementation type SOI pixel detector board: II， 日本物理学会講演概要集(CD-ROM)， vol.75 (2) ， 2020, 西村龍太郎, 佐々木敏彦, 三井真吾, 新谷正義, 新井康夫, 三好敏喜, 岸本俊二

    , Single Author

  • Anomaly detection for metal material using principal component analysis and machine learning， 材料とプロセス(CD-ROM)， vol.33 (2) ， 2020, 三井真吾, 佐々木敏彦, 新谷正義, 西村龍太郎

    , Single Author

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Research Grants & Projects 【 display / non-display 】

  • Grant-in-Aid for Scientific Research(C)，2021.04 - 2024.03

  • Grant-in-Aid for Scientific Research(A)，2016.04 - 2021.03，Study on early stage of rolling contact fatigue of rails using real time X-ray imaging with SOI detector

  • Grant-in-Aid for challenging Exploratory Research，2016.04 - 2019.03，Development of quantum beam residual stress measurement system using Debye ring and area detector

    The purpose of this study was the development of a method for residual stress measurement using quantum beam and area detector. The study was conducted based on the fundamental experiment by means of laboratory X-rays, synchrotron radiatin at the High Energy Accelerator Research Organization etc. It was found that high speed measurement of stress faster than about ten times than present world standard method is possible, as well as downsizing of the equipment and portability. It was also shown that this method is effective for samples in which tri-axial stress state occured, such as steels processed heavily. This method was applied to railway rails, for which rolling contact fatigue is important.

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