Research Interests 【 display / non-display 】

Research Interests 【 display / non-display 】

Research Areas 【 display / non-display 】

Research Areas 【 display / non-display 】

Papers 【 display / non-display 】

Papers 【 display / non-display 】

• 2G1-3　Study on the required skill for remote ship operators

  MURAI Koji, KAYANO Jun, TAMARU Hitoi, NISHIYAMA Mamoru, YAMADA Yuta, KASHIMA Hideyuki , 2024.06

  The Japanese Journal of Ergonomics

  DOI

• Identification of Ship Type by Ship’s Image and Radar Reflection Intensity using AI

  HIDAKA Yasuyuki, NAKAMURA Hideaki, TAMARU Hitoi, YAMADA Tatsuto, OHNO Ryotarou, MIZUI Shinji , 2024.03

  Journal of Coastal Zone Studies

  DOI

• Applying Neural Networks Medium- to Long-Term Movement Prediction of Fishing Vessels by AIS and Oceanographic Data

  MIYASHITA Tomohito, TAMARU Hitoi , 2024

  The Journal of Japan Institute of Navigation

  DOI

• Study on Ship Type Identification by Distribution of Radar Reflection Intensity Data

  HIDAKA Yasuyuki, NAKAMURA Hideaki, TAMARU Hitoi, YAMADA Tatsuto, TSUKISAKA Akihiro, MIZUI Shinji , 2024

  The Journal of Japan Institute of Navigation

  DOI

• Risk Cognition Process of Experts and Novices for Berthing Maneuver -Visualization Using Evaluate Grid Method-

  SUGIMOTO Masashi, NAGATA Noriko, NISHIZAKI Chihiro, TAMARU Hitoi, MURAI Koji , 2023

  The Journal of Japan Institute of Navigation

  DOI

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Grant-in-Aid for Scientific Research 【 display / non-display 】

Grant-in-Aid for Scientific Research 【 display / non-display 】

• A Research on realization for Remotely Operated Maritime Autonomous Surface Ships -Including the verification by actual ship experiments-

  Project Period (FY)： 2017/04  -  2020/03  Investigator(s): Shoji Ruri

  Grant-in-Aid for Scientific Research(A)  Co-Investigator  17H01356 

  Maritime Autonomous Surface Ships are developed and researched around the world to solve the current shipping problems. In this study, we developed and constructed remote control system of Shioji maru using Advanced Navigation System and the Virtual Shioji Maru of Tokyo University of Marine Science and Technology and conducted full-scale experiments twice. We studied on monitoring of the environment around the vessel using a multi-point laser transmitter/receiver sensor and on self-location estimation incorporating LiDAR for small craft.
  Using the obstacle zone by target (OZT) theory, we advanced the study on the avoidance algorithm as a medium-term action (avoidance of the ship before the risk of collision becomes apparent) takes into account the fluctuations in other ship's behavior and the expected behavior of target ship considering encounters between other ships.

• Development of Fatigue Assessment Method for Welded Joints subject to Intermittently Hull Vibration Superimposed Wave Loadings

  Project Period (FY)： 2016/04  -  2019/03  Investigator(s): OSAWA NAOKI

  Grant-in-Aid for Scientific Research(A)  Co-Investigator  16H02432 

  From hydro-elasticity analysis results on slamming impact’s occurrence frequency and its peak stress range, the characteristics of whipping superimposed stress waveform experienced by a large container ship can be simplified as a) the slamming impact occurs once in every 4 to 5 Primary Wave (PW) cycles; b) the maximum stress range due to slamming impact can be comparable to the PW stress range; c) the waveform show approximately similar waveform regardless of significant wave height. The ‘reference whipping superimposed waveform’, which emulates the simplified waveform, has been proposed. The Electric Exciter (EE)-driven fatigue testing machine, which can apply this ‘reference waveform’ to welded joints at high speed, has been developed. It is found that the fatigue life of welded joints under constantly whipping superimposed loadings can be predicted by RainFlow Cycle Counting (RFCC) method, while RFCC led to conservative estimates for intermittently superimposed cases.

Lesson Subject 【 display / non-display 】

Lesson Subject 【 display / non-display 】