• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.310-312
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• 2022

지능형 해상교통서비스에 대한 개선방안 연구가 활발히 진행되고있는 가운데 서비스에 대한 사용성 및 유효성에 대해 ECS를 기반으로 하여 평가도구 및 그 방법을 개발하여 실선 및 시뮬레이션 시험 및 연구하였다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.315-316
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• 2022

In order to reduce maritime accidents and promote maritime safety and the happiness of the sea people, the Ministry of Oceans and Fisheries has been providing Intelligent Maritime Traffic Information services to the public from the end of January 2021. Various information is generated and collected through this service, and research and development is underway to develop and verify a service algorithm by applying the collected information to data science to realize a safer and more efficient intelligent maritime traffic information service. In order to develop and implement this, a data pipeline system that connects the collected and stored data and can access, use, and store data from multiple systems smoothly is required. Therefore, in this study, a data pipeline that can be used in various systems such as a datascience based service algorithm development environment and an intelligent maritime transportation service test-bed was designed.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.306-307
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• 2022

Recently, in the process of developing, verifying, and upgrading the e-Navigation service and autonomous navigation system, there is an increasing demand for inter-working with a ship-handling simulator that can simulate actual maritime traffic conditions. In this paper, to develop a ship-handling simulation system based on actual maritime traffic conditions, a simulation server was built, received information on the actual maritime traffic conditions from the e-Navigation linkage system, and changed to information for operating the ship-handling simulator. In order to provide simulation images to users, 3D shape modeling for trade ports, coastal ports in Korea and major type of ship were performed. The developed system will be used for the advancement of e-Navigation service, development and verification of autonomous navigation systems, by enabling simultaneous processing of more than 10,000 ships and allowing users to simulate actual maritime traffic conditions in the desired area.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2021.11a
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• pp.3-4
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• 2021

Korea government has developed Korean e-Navigation service to assist ship's collision avoidance, and is providing it since Jan. 2021 to korean vessels to reduce marine accidents caused by human error which is regarded as main reason of marine accidents. It is a huge achievement itself because it is a real-time maritime safety information service based on digital communication, but still has room for improvement to provide customized information for each vessel, such as considering ship's characteristics. This research analyzes current status and requirement of collision avoidance assistance service. Lastly, it suggests direction of improvement of service such as using data science, artificial intelligence(AI).

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.308-309
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• 2022

The Ministry of Oceans and Fisheries is providing maritime safety services using combine limited artificial intelligence technologies through the operation of the Korean e-Navigation service, and research is needed to improve reliability and quality to secure the competitiveness of the system. However, linking real-time operating systems requires a separate system configuration that can be linked after processing personal information security with minimal performance impact. To solve this problem, this study will make a basic design of a big-data maritime information gateway system of the Korean e-Navigation service that minimizes the impact of performance and reflects the security of personal information.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.313-314
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• 2022

The intelligent maritime traffic information service provides a service to prevent collisions and stranding of ships based on the location information of ships periodically collected from ship equipment such as LTE-Maritime transceivers and AIS installed on ships. provided in real time. However, the above service may reduce the reliability of ship location information because GPS location information for measuring the ship's location may be cut off during transmission through LTE-Maritime or AIS networks, or phenomena such as location jumps and delays may occur. This study aims to estimate reliable position information to some extent even in an abnormal section through ship position prediction based on the existing received position information using the Kalman filter, which is an optimal estimation filter based on probability.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.208-209
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• 2023

Intelligent maritime traffic information service for maritime traffic safety operates a service that provides safe and efficient optimal safety routes considering information such as water depth, maritime safety law, weather information, and fuel consumption. However, from a service user's point of view, they prefer a route that suits their personal navigation experience and style, such as unnecessary detours and conservative safety distances for maritime objects. In this study, the optimal safety route can be extracted based on the experience of service users without reflecting the separate maritime environment by adjusting the weight of the trunk line for the area where the ship frequently navigates with the ship's track data collected through LTE-M model was studied.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.202-203
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• 2023

The Ministry of Oceans and Fisheries is providing maritime safety services through the operation of the Korean e-Navigation service, and research is continuously needed to improve reliability and quality to secure the competitiveness of the system. In order to secure such competitiveness, we presented the basic design for the big-data maritime information gateway system for minimizes thereal-time operation impact of the Korean e-Navigation service, and a theoretical hardware structure diagram including pseudonymization procedures to implement the overall system and solve privacy security issues. However, the proposed structure diagram and design include only the overall concept, to link real-time maritime information, required detailed privacy security method to satisfy the Privacy Act of the Republic of Korea. To solve this problem, this study will identify factors to violate the Privacy Act within the real-time maritime information(privacy of shipowner, shipping company, captain, navigator, fisherman, etc.) linked by the big-data maritime information gateway system, and research the method to link the secured information to other institutions by encrypting identified the factors.

• 한국IT서비스학회:학술대회논문집
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• 2009.11a
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• pp.413-416
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• 2009

e-navigation 전략은 선박의 출발항부터 도착항의 부두 접안에 이르는 전 과정의 안전과 보안을 위한 관련 서비스 및 해양환경 보호 증진을 위해 선박과 육상 관련 정보를 융합하여 통합된 수집, 교환, 표현 및 분석을 수행하는 체계를 말한다. 이는 기존의 선상 시스템과 육상 시스템에서의 유용한 정보들을 융합하여 통합시킴으로서 선박의 안전을 제공하고 나아 가서는 해상의 환경을 보호하기 위한 방법을 제공하기 위한 것이다. 이러한 e-navigation 전략의 기반 하에 기존 제공되는 선상에서의 IBS, 육상의 VTS 등 서비스 뿐 아니라, 원격 유지보수 서비스, 선내 통합 모니터링 서비스, 지능형 선박충돌방지 서비스, 지능형 연근해상 선박교통관제 서비스 등 다양한 통합화된 서비스 제공이 가능하다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.206-207
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• 2023

Intelligent maritime traffic information services provide services for maritime traffic safety, but due to the difference in ship specifications and loading condition, the method of determining abnormalities in ship stability has not been generalized. In this study, we established a method for collecting and preprocessing Accelerometer and GPS data for calculating ship stability. In addition, we have researched a model that can determine the real-time ship stability through data science algorithms that can reflect each vessel specifications and external forces, breaking away from approximate calculations that cannot reflect weather factors in the real ocean.