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Megumi Shiokari
Observed names:
M Shiokari,
Megumi SHIOKARI
Institution:
National Maritime Research Institute
Observed institutions:
National Maritime Research Institute,
National Institute of Maritime, Port and Aviation Technology
ORCID:
0000-0002-0224-8160
Observed ORCID:
0000-0002-0224-8160
OpenAlex ID:
A5067672579
Works
11
Awards
2
Structure model-based hazard identification method for autonomous ships
2024
·
Megumi Shiokari
, Hiroko Itoh
, et al.
·
Reliability Engineering & System Safety
·
30
Evaluation of effectiveness of the STAMP / STPA in risk analysis of autonomous ship systems
2022
·
Tomoaki Yamada
, Makoto Sato
, et al.
·
Journal of Physics Conference Series
·
18
PDF
Considerations on the regulatory issues for realization of Maritime Autonomous Surface Ships
2019
·
Megumi Shiokari
, Susumu Ota
·
Journal of Physics Conference Series
·
9
PDF
Application of Dynamic-Task-Based Hazard Identification Method to Remote Operation of Experimental Ship Shinpo
2022
·
R Miyake
, J Kudo
, et al.
·
Journal of Physics Conference Series
·
5
PDF
Site selection for floating offshore wind turbines in Japanese coasts by quantitative risk assessment
2018
·
Megumi Shiokari
, Shigeru Tabeta
, et al.
·
Journal of Marine Science and Technology
·
5
PDF
Considerations on the common regulatory issues among the IMO instruments for realization of maritime autonomous surface ships
2020
·
M Shiokari
, S Ota
·
IOP Conference Series Materials Science and Engineering
·
2
PDF
A Fundamental Study on the Effect of Ocean Fertilization by Deep Sea Water
2012
·
Megumi Shiokari
, Shigeru Tabeta
, et al.
·
Journal of the Korean Society for Marine Environment & Energy
·
2
Task-Based Hazard Identification for a Hypothetical Autonomous Ship
2024
·
Eiko ISHIMURA
, Satoru TAKANO
, et al.
·
Marine Engineering
·
1
PDF
Application of Risk Analysis Method With System Modeling to Remote Operation of Experimental Ship, Shinpo
2022
·
M Shiokari
, J Kudo
, et al.
·
1
SysML‐Based Quantitative Trade‐off Analysis of Safety‐Critical System‐of‐Systems Architectures via LLM‐Assisted Hazard Identification
2026
·
Yuki Tomita
, Megumi Shiokari
, et al.
·
INCOSE International Symposium
Hazard Identification Support Tool Utilizing a Large Language Model for Improving Efficiency and Comprehensiveness in Risk Analysis
2026
·
Megumi Shiokari
, Yuki Tomita
, et al.
·
International Conference on Offshore Mechanics and Arctic Engineering (OMAE)
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Works count:
11
Citation count:
73
H-index:
5
I10-index:
2
Year
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