Rchr
J-GLOBAL ID:202101020219768715   Update date: Mar. 31, 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 (2):
  • 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 (10):
  • 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
  • Kimura Yoshiki, Shinohara Nobuo, Okubo Ayako. Current status and achievements on nuclear forensics technology developments for nuclear security. Nihon Genshiryoku Gakkai-Shi ATOMO$\Sigma. 2015. 57. 12. 782-786
more...
Lectures and oral presentations  (47):
  • 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)
  • Analysis of nuclear security events using chemical explosives
    (火薬学会2023年度秋季研究発表会)
  • Information sharing of nondestructive technological development projects implemented by the JAEA
    (First Research Coordination Meeting for the Coordinated Research Project on Facilitation of Safe and Secure Trade Using Nuclear Detection Technologies - Detection of Radioactive and Nuclear Material and Other Contraband)
  • Validation and advancement of uranium dating method by alpha spectrometry for nuclear forensics
    (日本放射化学会第67回討論会(2023))
  • Developments of a nuclear and radioactive material survey system for major public events
    (3rd Technical Meeting on Radiation Detection Instruments for Nuclear Security; Trends, Challenges and Opportunities)
more...
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page