• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2017.11a
• /
• pp.115-116
• /
• 2017

In this paper, we propose a standardization strategy for next generation electronic navigational chart which can be classified as S-100 Universal Hydrographic Data Model, to accept various requirements arising from various marine information and services as well as support e-navigation service strategies. IMO uses the next generation electronic chart standard, S-100 as Common Maritime Data Structure. It means that a common data model is needed as a key element for realization of e-Navigation and also points out that a new ICT convergence paradigm is needed not only for marine safety but also for maritime information and services. this paper considers he model-based data representation and reference model in order to understand the content and use of the S-100 standard and also considers the interconnectivity and role of the ISO/TC211 standards, which are being used as base standards for profiling to develop S-100 standard. Finally, we look at what standardization items are required for standardization of next generation electronic navigational chart supporting multi-purpose and how they are used mutually.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2022.06a
• /
• pp.218-219
• /
• 2022

The Korea Institute for Advancement of Technology and the Ulsan ICT Promotion Agency are building an electric smart ship using a full range of ICT with advanced technology, and are expected to demonstrate it in 2022. For the demonstration of onboard ship equipment, it needs to develop a demonstration procedure. There are 4 types of onboard equipment preferentially selected for the development of the demonstration test procedure which are an electronic chart display and information system, a ship RADAR system, a voyage data recorder, and a ship energy efficiency monitoring system. This paper describes the demonstration procedure based on the equipment standard for the electronic chart display and information system among 4 selected types of demonstration equipment, and also the verification test checklist and template is introduced.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2022.06a
• /
• pp.52-53
• /
• 2022

해양 4차 산업 도래에 맞춰 기존 항로표지 역할에 ICT 기술을 융합하여 표준화된 디지털 해양 정보 서비스가 요구되고 있으며, 신항행 안전과 시설 관리 효율성을 추구하는 차세대 디지털 항로표지 기술 개발이 추진되고 있다.. 본 논문에서는 항로표지를 이용하여 해양정보를 제공하기 위하여 스마트항로표지 설계시 고려사항을 분석하였다. 국내외 해양정보 수집 표지의 현황을 조사하여 기존 측정 정보와 관련 기관의 측정 현황을 조사하여 제공 정보를 선별하였다. 지방해양수산청에서 적용중인 기상측정장비의 규격 및 기상표지의 센서 위치를 분석하여 스마트 항로표지 상세 설계시 고려할 사항을 분석하였다.

• Journal of Korea Port Economic Association
• /
• v.32 no.3
• /
• pp.155-175
• /
• 2016

The purpose of this paper is to find the success factors for a newly developed marine financial city of Busan. For this, in the paper, we did case studies about advanced marine financial cities such as Hamburg, Oslo, Pireus, Shanghai, Singapore and London. And we made the hierarchical questionnaire for this study from literature reviews and interviews with experts in the field of the marine finance. A hierarchy was made up of 4 factors as the first class and the each factor consisted of four elements as the second class. The results of AHP analysis are as follows. First, the most important factor in the priorities with respect to marine financial city of Busan is "development of marine finance(0.371)" within the four factors as the first class. Next came "business environment(0.248)", "infrastructure(0.206)" and "support of government(0.175)". Second, the most important things is a clustering for marine finance(0.134) within 16 elements as the second class. We also analysed the priorities by the each factor of the second class. The most important element is an industrial clustering of marine finance(0.400) for "development of marine finance" and a clustering of the shipbuilding & marine industry(0.175) for "business environment" factor. And the ICT & transportation(0.326) is the most important element for "infrastructure" and a support of the national government(0.423) for "support of government" factor.

• Journal of Ocean Engineering and Technology
• /
• v.35 no.1
• /
• pp.91-97
• /
• 2021

Marine accidents caused by ships have brought about economic and social losses as well as human casualties. Most of these accidents are caused by small and medium-sized ships and are due to their poor conditions and insufficient equipment compared with larger vessels. Measures are quickly needed to improve the conditions. This paper discusses a video-integrated collision prediction and fall detection system to support the safe navigation of small- and medium-sized ships. The system predicts the collision of ships and detects falls by crew members using the CCTV, displays the analyzed integrated information using automatic identification system (AIS) messages, and provides alerts for the risks identified. The design consists of an object recognition algorithm, interface module, integrated display module, collision prediction and fall detection module, and an alarm management module. For the basic research, we implemented a deep learning algorithm to recognize the ship and crew from images, and an interface module to manage messages from AIS. To verify the implemented algorithm, we conducted tests using 120 images. Object recognition performance is calculated as mAP by comparing the pre-defined object with the object recognized through the algorithms. As results, the object recognition performance of the ship and the crew were approximately 50.44 mAP and 46.76 mAP each. The interface module showed that messages from the installed AIS were accurately converted according to the international standard. Therefore, we implemented an object recognition algorithm and interface module in the designed collision prediction and fall detection system and validated their usability with testing.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.25 no.12
• /
• pp.1927-1934
• /
• 2021

The AtoN are installed and operated on the sea in order to help the safe navigation of ships. With the development of maritime ICT, to monitor and control the condition of AtoN from land using multiplex communication network such as AtoN AIS, CDMA, and LTE. Currently, The information of AtoN is difficult to integrated manage because AtoN management systems has been independently developed and operatie according to the operating conditions of the Regional Office of Oceans and Fisheries. In addition, in preparation for the introduction for e-navigation and MASS, systematic and unified information of AtoN is required. In this paper, we study to design and develop standard software for AtoN management system based on the international standard for navigation information(S-201). Through this study, it will be possible to provide continuous AtoN information and effective AtoN management.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.3
• /
• pp.571-580
• /
• 2022

Marine deposited waste is a major cause of problems such as a lot of damage and an increase in the estimated amount of garbage due to abandoned fishing grounds caused by ghost fishing. In this paper, we implement a real-time marine deposited waste detection artificial intelligence system to understand the actual conditions of waste fishing gear usage, distribution, loss, and recovery, and study methods for performance improvement. The system was implemented using the yolov5 model, which is an excellent performance model for real-time object detection, and the 'data screening process' and 'class segmentation' method of learning data were applied as performance improvement methods. In conclusion, the object detection results of datasets that do screen unnecessary data or do not subdivide similar items according to characteristics and uses are better than the object recognition results of unscreened datasets and datasets in which classes are subdivided.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2019.11a
• /
• pp.125-126
• /
• 2019

스마트농장과 스마트양식장으로 구분하여 첨단 정보통신기술(ICT), 사물인터넷(IoT), 인공지능(AI) 그리고 빅데이터 등이 적용된 국내외 스마트농장과 스마트양식장 사례와 해수를 이용한 해수온실의 사례 그리고 플로팅 팜과 스마트 플로팅 팜의 계획안 및 실제 사례를 분석했다. 사례분석을 통해 스마트 플로팅 팜에 적용되는 다양한 종류의 시스템을 분류하여 해수복합형 시스템 개념을 도출해냈다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2015.07a
• /
• pp.155-156
• /
• 2015

글로블 대형요트산업은 리먼사태 때 잠시 주춤했지만 여전히 고속성장하는 고부가가치산업으로, 이탈리아, 네덜란드 터키 등 유럽의 해양레저선진국이 거의 시장을 주도하고 있다. 우리나라의 경우 아직 대형요트를 건조한 실적은 전무하지만, 중소형조선소가 경제적 어려움을 겪는 현시점에서 국내 조선기술, 부품소재기술, ICT 등 관련기술수준을 감안한다면 진출해볼만한 신성장분야인 것은 분명하다. 이 연구에서는 메가요트 국산화 개발방안을 제시하고자 한다.

• Proceedings of KOSOMES biannual meeting
• /
• 2017.11a
• /
• pp.122-122
• /
• 2017