Jin-Suk Lee
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Jin-Suk Lee has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
- Joo-Sung Kim
Division of Navigation Science, Mokpo National Maritime University, Mokpo 58628, Republic of Korea
2 shared publications Da-Un Jang
1 shared publicationHo Namgung
1 shared publication- Jung-Suk Choi1 shared publication
- Kwang-Il Kim
Department of Marine Industrial & Maritime Police, College of Ocean Sciences, Jeju National University, Jeju 63243, Republic of Korea
1 shared publication Sang-Lok Yoo
1 shared publication
Latest Publications
- Open Access
- 18 October 2021
- Published by MDPI AG in Journal of Marine Science and Engineering
- Vol. 9 (10) , 1143
Collision Risk Assessment Support System for MASS RO and VTSO Support in Multi-Ship Environment of Vessel Traffic Service Area
The discussions by the International Maritime Organization for the introduction of a maritime autonomous surface ship (MASS) began in earnest. At the 27th ENAV meeting, the International Association of Marine Aids to Navigation and Lighthouse Authorities proposed the “sharing of a common operating picture for situational awareness of the waterway within vessel traffic service (VTS) environment” when developing a system to support MASS operation. Marine accidents caused by collisions on waterways still account for a high percentage of ship accidents that occur at sea, and many studies have investigated the risk of collision between ships. Collision risk assessment was primarily conducted in ship domain-based safety areas. This study evaluates the collision risk using the ship domain derived by the VTS operator (VTSO) and proposes a real-time collision risk assessment support system to improve the situational awareness of VTSOs and MASS remote operators (MASS ROs) regarding near-collision situations occurring in local waters. To evaluate the validity of the proposed system, a risk analysis was performed on near-collision scenarios at Busan Port. The results show that the distance to the closest point of approach (CPA), time to the CPA, and inter-ship distance converged within 0.5 nautical miles, 10 min, and 3 nautical miles, respectively.
- 18 October 2021
- Published by MDPI AG in Journal of Marine Science and Engineering
- Vol. 9 (10) , 1143
Open AccessCollision Risk Assessment Support System for MASS RO and VTSO Support in Multi-Ship Environment of Vessel Traffic Service Area
The discussions by the International Maritime Organization for the introduction of a maritime autonomous surface ship (MASS) began in earnest. At the 27th ENAV meeting, the International Association of Marine Aids to Navigation and Lighthouse Authorities proposed the “sharing of a common operating picture for situational awareness of the waterway within vessel traffic service (VTS) environment” when developing a system to support MASS operation. Marine accidents caused by collisions on waterways still account for a high percentage of ship accidents that occur at sea, and many studies have investigated the risk of collision between ships. Collision risk assessment was primarily conducted in ship domain-based safety areas. This study evaluates the collision risk using the ship domain derived by the VTS operator (VTSO) and proposes a real-time collision risk assessment support system to improve the situational awareness of VTSOs and MASS remote operators (MASS ROs) regarding near-collision situations occurring in local waters. To evaluate the validity of the proposed system, a risk analysis was performed on near-collision scenarios at Busan Port. The results show that the distance to the closest point of approach (CPA), time to the CPA, and inter-ship distance converged within 0.5 nautical miles, 10 min, and 3 nautical miles, respectively.
- Open Access
- 31 March 2019
- Published by Korean Institute of Intelligent Systems in International Journal of Fuzzy Logic and Intelligent Systems
- Vol. 19 (1) , 18-27
Anomalous Vessel Behavior Detection Based on SVR Seaway Model
Joo-Sung Kim, Jin-Suk Lee, and Kwang-Il Kim. IJFIS 2019;19:18-27. https://doi.org/10.5391/IJFIS.2019.19.1.18
- 31 March 2019
- Published by Korean Institute of Intelligent Systems in International Journal of Fuzzy Logic and Intelligent Systems
- Vol. 19 (1) , 18-27
Open AccessAnomalous Vessel Behavior Detection Based on SVR Seaway Model
Joo-Sung Kim, Jin-Suk Lee, and Kwang-Il Kim. IJFIS 2019;19:18-27. https://doi.org/10.5391/IJFIS.2019.19.1.18