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J-GLOBAL ID:202101020219768715   Update date: Oct. 03, 2024

Kimura Yoshiki

キムラ ヨシキ | Kimura Yoshiki
Affiliation and department:
Research field  (1): Other
Research theme for competitive and other funds  (1):
  • 2021 - 2024 Development of Gamma source location estimation technology by using voxel-type detector and Machine-Learning
Papers (3):
  • Kimura Yoshiki, Matsumoto Tetsuya*, Yamaguchi Tomoki. Application of deep metric learning model to microscope image analysis for the determination of UOC samples in nuclear forensics analysis. Journal of Radioanalytical and Nuclear Chemistry. 2024. 333. 7. 3541-3551
  • Kimura Yoshiki, Tsuchiya Kenichi*. Radioisotope identification algorithm using deep artificial neural network for supporting nuclear detection and first response on nuclear security incidents. Radioisotopes. 2023. 72. 2. 121-139
  • Kimura Yoshiki, Shinohara Nobuo, Funatake Yoshio. Lessons learned from the international tabletop exercise of national nuclear forensics library at JAEA. Journal of Nuclear Materials Management. 2014. 42. 4. 40-45
MISC (11):
  • Koizumi Mitsuo, Takahashi Tone, Hironaka Kota, Mochimaru Takanori*, Yamaguchi Ikuto*, Kimura Yoshiki, Tanigaki Minoru*, Masaki Hiroko*, Harada Hiroshi*, Goto Jun*, et al. Current status of a JAEA development program on nuclear and radioactive materials detection techniques in major public events. Proceedings of INMM \& ESARDA Joint Annual Meeting 2023 (Internet). 2023. 7
  • Mochimaru Takanori*, Koizumi Mitsuo, Takahashi Tone, Hironaka Kota, Kimura Yoshiki, Sato Yuki, Terasaka Yuta, Yamanishi Hirokuni*, Wakabayashi Genichiro*. Monitoring technique for detection of nuclear and radioactive materials on major public events. Dai-42-Kai Nihon Kaku Busshitsu Kanri Gakkai Nenji Taikai Kaigi Rombunshu (Internet). 2021. 42nd. 4
  • Kimura Yoshiki, Matsui Yoshiki, Tomikawa Hirofumi. Nuclear forensics capability building efforts by the Integrated Support Center for Nuclear Non-proliferation and Nuclear Security at the Japan Atomic Energy Agency. ITWG Nuclear Forensics Update (Internet). 2020. 15. 4-7
  • Tamai Hiroshi, Okubo Ayako, Kimura Yoshiki, Shinohara Nobuo, Tazaki Makiko, Shimizu Ryo, Suda Kazunori, Tomikawa Hirofumi. Prospective features for integration of nuclear forensics capability in national framework. Proceedings of INMM 58th Annual Meeting (Internet). 2017. 6
  • Tamai Hiroshi, Okubo Ayako, Kimura Yoshiki, Kokaji Lisa, Shinohara Nobuo, Tomikawa Hirofumi. Technical/institutional prerequisite for nuclear forensics response framework. Dai-37-Kai Kaku Busshitsu Kanri Gakkai Nihon Shibu Nenji Taikai Rombunshu (CD-ROM). 2017. 8
more...
Lectures and oral presentations  (51):
  • Research and development of nuclear forensics technologies based on deep learning models
    (日本放射化学会第68回討論会(2024))
  • Nuclear forensics technology supporting nuclear security; recent R\&Ds and future prospects at ISCN
    (日本放射化学会第68回討論会(2024))
  • Identification of key signature nuclides to estimate the origin of reprocessed Pu for nuclear forensics
    (日本原子力学会2024年秋の大会)
  • Recent nuclear forensics technical capability building efforts by integrated support center for nuclear non-proliferation and nuclear security at Japan Atomic Energy Agency
    (International Conference on Nuclear Security; Shaping the Future (ICONS 2024))
  • Nuclear material identification based on electron microscope image analysis using deep learning models for nuclear forensic analysis
    (日本原子力学会2024年春の年会)
more...
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