• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.157-158
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• 2022

최근 자율운항선박, 무인선박 등 해사분야의 4차 산업혁명이 가속화되고 있으나 이에 대비한 해사안전분야 전문인력 양성체계는 없었다. 선장, 안전관리자, 선박소유자의 안전관련 책임 및 의무를 강화하고, 안전관리의 전문성 및 책임성 제고를 위해 선박안전관리사 자격제도가 신설되었다. 법률개정에 따라 안전관리자의 교육과정, 기존 안전관리자의 자격취득 교육 및 평가과정 등을 마련하기 위한 연구가 수행되고 있다. 이에 본 연구에서는 해사안전분야 전문인력 양성 지원을 위한 전문연구용역 진행 및 추진상황을 소개하였다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.11a
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• pp.137-138
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• 2019

The International Maritime Organization (IMO) adopted the Circular 101 (MSC / Circ. 1604) as an interim guidelines for MASS trials at the 101st Maritime Safety Committee. This guideline will be used as a guideline for the sea trials of Maritime Autonomous Surface Ships(MASS) in the future and will be used by government authorities and stake-holders to secure infrastructure for MASS safety, environmental protection and remote operation. The purpose of this study is to analyze the Interim Guidelines for MASS Trials adopted by IMO and to clearly classify the responsibilities and obligations of governments of stake-holders, and to present the main points of risk management necessary for maritime test operation from the perspective of human factors.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2020.11a
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• pp.161-162
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• 2020

Major advanced ports around the world are preparing for environmental regulations such as increased efficiency of ports and low emission of pollutants in ports by utilizing fourth industrial technologies and ICT technologies such as AI, big data, self-driving cars and connected cars. It is also investing in developing fully unmanned terminals to solve the problem of workforce reduction caused by avoidance of 3D industries. However, the introduction of advanced technology is being delayed in domestic ports, which has led to a drop in port efficiency. In addition, port safety accidents have also occurred frequently, seriously affecting port marketing. Thus, the characteristics and types of each container terminal in Korea were analyzed and the factors for introducing autonomous cooperative driving were classified into five section factors and 15 division factors. Hierarchically classified factors will be surveyed on workers working in shipping lines, port construction, container terminals and related ministries.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.6
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• pp.992-1001
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• 2022

The maritime traffic analysis has been conducted in various ways to solve problems arising from the complex marine environment. However, recent trends in the maritime industry, such as the development of the maritime autonomous surface ships (MASS), suggest that maritime traf ic analysis needs change. Accordingly, based on the studies conducted over the past decade for improvements, automatic identification system (AIS) data is mainly used for maritime traffic analysis. Moreover, the use of geographic information that directly af ects ship operation is relatively insufficient. Therefore, this study presented a method of using a combination of shape format data and AIS data to enhance maritime traffic analysis in preparation for the commercialization of autonomous ships. Consequently, extractable marine traffic characteristics were presented when shape format data were used for marine traffic analysis. This is expected to be used for marine traffic analysis for the introduction of autonomous ships in the future.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.98-99
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• 2022

해양 산업은 e-Navigation 시스템을 시작으로 체계적인 접근 방식과 다양한 전략을 바탕으로 다양한 해양 서비스를 제공하고 있으며, 서비스 운영에 필수적인 장비 개발 및 스마트 항로표지 서버 구축 등 통합 운영이 가능한 스마트 항만 구축을 목표로 나아가고 있다. 그러나 고도로 자동화된 스마트 항만의 자율 시스템을 검증하기 위한 테스트베드는 기존의 테스트베드와 달리 복잡한 접근 방식과 다양한 요소가 필요하며, 특히 인공지능 등 최첨단 디지털 기술이 적용할 수 있게 됨에 따라 신규 서비스 제공과 이에 따른 잠재적으로 발생이 가능한 치명적인 문제점을 조기에 발견하고 대응하기 위하여 사이버보안체계 연구 및 이를 검증할 테스트베드 구축에 대한 준비가 필요한 시점이다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.11a
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• pp.205-207
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• 2023

국제선급연합회(International Association of Classification Societies: IACS)에서는 2022년 선박 및 기자재시스템 사이버 복원력 달성을 위한 공통규칙 UR E26, E27을 발행하였으며, 이 규정은 2024년 1월 이후 건조 계약되는 선박에 의무적으로 적용될 예정이다. 현존선의 경우, OT 시스템 네트워크 변경 및 사이버보안 기능을 신규 구현하기가 어렵기 때문에 사이버 위험관리에 한계가 있으나, 본 규정을 통해 신조선 건조 단계에서 설계 보안 (secure by design)을 고려한 선박 사이버 복원력 네트워크 및 기능 구현이 가능하다. 사이버복원력 생태계가 잘 형성되기 위해서는 선주, 조선소, 제조사, 선급 등 주요 이해관계자의 역할이 중요하며 향후 다양한 프로젝트를 통한 사이버복원력 체계 내재화, 재직자 사이버보안 역량 강화, 선박 사이버안전 기술 지속적 연구가 필요하다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.11a
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• pp.188-188
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• 2022

선박의 운용 효율을 높일 수 있는 방법인 무인 운용체계는 근래에 많은 관심을 받고 연구되어 왔다. 특히 무인수상선과 무인수중체의(USV-AUV)의 복합 운용 분야는 그 동안 어려움이 있었던 심해저 탐사 및 특수 임무 활용에 용이하여 많은 연구가 수행되고 있다. 본 연구에서는 쌍동선 형태인 무인수상선이 모선이 되고 무인수중체가 결합하여 충전하고 다시 진수하여 원거리 및 심해저 조건에서 무인수중체가 운용 가능하도록 하는 시스템의 일부인 USV-AUV의 docking을 위한 DP 시스템을 개발하고 선박해양플랜트연구소 해양공학수조에서 모형시험을 통해 이를 검증하였다. 또한, 실제 제작된 무인쌍동선과 추진 시스템을 활용하여 모형시험을 통해 검증한 DP 알고리즘을 적용하여 화성 제부도 앞바다에서 실선 DP 테스트를 수행하였다. 실 해역에서의 DP 시스템 테스트는 정확한 환경 조건의 계측 및 구현이 어려워 모형시험과 같은 정량적인 평가는 어렵지만, 정성적으로 DP 시스템이 작동하는 것을 확인할 수 있었다.

• Journal of Navigation and Port Research
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• v.46 no.3
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• pp.269-279
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• 2022

With the development of artificial intelligence, artificial intelligence is being introduced to automate systems throughout the industry. In the maritime industry, artificial intelligence is being applied step by step, through the paradigm of autonomous ships. In line with this trend, ABS and DNV have published guidelines for autonomous vessels. However, there is a possibility that the risk of artificial intelligence has not been sufficiently considered, as the classification guidelines describe the requirements from the perspective of ship operation and marine service. Thus in this study, using the standards established by the ISO/ IEC JTC1/SC42 artificial intelligence division, classification requirements are classified as the causes of risk, and a measure that can evaluate risks through the combination of risk causes and artificial intelligence metrics want to use. Through the combination of the risk causes of artificial intelligence proposed in this study and the characteristics to evaluate them, it is thought that it will be beneficial in defining and identifying the risks arising from the introduction of artificial intelligence into the marine system. It is expected that it will enable the creation of more detailed and specific safety requirements for autonomous ships.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2001.10a
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• pp.745-748
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• 2001

Digital-ship is the next-generation ship with an one-man bridge system which consists of INS(Intelligent Navigation System), AIS(Automatic Identification System), and IMIT(Integrated Maritime Information Technology). INS implements the functions is related of the ship's navigation, and supports in the digital GIS environments optimal route planning, stranding and a collision avoidance among the ship, an economic navigation, and an integrated control of ship's engine. AIS prevents the ship's collision by means of transmitting periodically the own ship's information to the other ship or the shore control center. IMIT systems supports the integrated fiat-form in ships, the communication between a ship and a control center of the land using the INMARSAT, OrbComm, Ocean Observation Satellite, and etc. The satellite communication in ships can monitor the ship at an earth control renter. This paper deals with the method for system implementation of digital-ship and the detailed sub-system.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.1
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• pp.38-46
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• 2021

In the era of the 4th Industrial Revolution, the interest in autonomous ship technology is increasing as high-tech technologies are being increasingly utilized throughout the industry. Therefore, we conducted a basic study on autonomous ships. In particular, a passenger ship model was produced and an autonomous navigation system was established by applying the ardupilot used for drones. The possibility of automatic control of the autonomous ship operations was confirmed by executing various voyage plans using the built model ship. In the performance test for maintaining the course the model ship could not follow the designated course straight and sailed up to 5.4 m away from the course while navigating in a zigzag (S-shape); however, after the parameters were modified, the deviation distance was reduced to a maximum of 1.8 m. In the turning performance test, the maximum diameter of the turning sphere was found to be approximately 9.3 m, but no significant change could be confirmed even after the parameters were modified. However, the results of our tests on slowing down the ship before arriving at the WP confirmed that the diameter of the turning sphere was reduced to a maximum of approximately 3.2 m. In order to evaluate the stopping performance, the last scheduled stopping position of all experiments was compared with the actual stopping position of the model ship and it was confirmed that the model ship stopped at a point at least 0.4 m and a maximum of 6.2 m away from the stopping position. In the future, improvement of course stability, turning performance, and stopping performance is required through modification and supplementation of various parameters. Moreover, a study on automatic berthing of the model ship through automatic control is planned.