• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2013.06a
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• pp.407-410
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• 2013

2010년대에 들어서며 산업과 행정 등 전반 분야에 있어 주요한 아젠다가 되어 있는 빅 데이터는 산업화를 거쳐 전산화의 장벽까지 넘어선 각 분야에서 혁신적인 데이터 활용을 통해 새로운 가치를 창조하고 있다. RADAR 및 관제설비의 도입으로 고도화된 VTS의 관리 체계는 관제 서버의 구축과 선박의 선박자동식별장치(AIS)의 정착 등 항해설비 발전을 통해 전산의 장벽을 하나씩 거둬가고 있다. 이제는 실시간으로 수집되는 선박 교통 데이터를 통해 해사행정의 새로운 가치 창조를 모색해야 할 시점이다. 따라서 본 연구에서는 예시를 통해 빅 데이터의 개념을 정리하고 해상교통관제를 비롯한 해사행정 전반분야와 해운, 항만, 선박 사업자 전반에게 효율적인 업무 지원을 도모할 수 있는 모델을 제시하고자 하였다. 본 연구결과가 VTS 발전 방안으로 활용되어 제도 개선에 기여할 것으로 기대된다.

• Journal of Korea Port Economic Association
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• v.39 no.3
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• pp.47-60
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• 2023

A thorough inventory of ship emissions, particularly ship's emission of in-port area is necessary to identify significant sources of exhaust gases such as NOx, SOx, PM, and CO₂ and trends in emission levels over time, and reduce their serious effects on the environment and human health. Therefore, the goal of this study is to assess the volume of emissions from ships in Mokpo port, which serves as a gateway to the southwest coast of Korea, using a bottom-up methodology and data from the automatic identification system (AIS) and the Korean Port Management Information System (Port-MIS). In this work, an analysis of ship movement utilizing AIS data and an actual set of data on ship specification were gathered. By examining ship movement using AIS data, We also proposed a new approach for identifying cruising/maneuvering mode. Finally, the results were classified by ship operating mode, by exhaust gas, by ship type, and by berth, which provides a thorough and in-depth analysis of the air pollution caused by ships in Mokpo port.

• Proceedings of KOSOMES biannual meeting
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• 2006.05a
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• pp.177-183
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• 2006

IMO and ITU-R have done an intensive study to develop performance standards and technical standards of maritime digital communication systems, respectively. In particular, each administration strives to develop new agenda items of adopting digital new technologies. IMO COMSAR submitted draft performance standard of LRIT to IMO MSC, so that IMO mandates carriage requirement of LRIT In addition to that, COMSAR is preparing performance standard of AIS-SART, and approved the utilization of mobile phones for SAR activities. On the other hand, a new agenda item concerning E-navigation strategy was submitted to MSC 81th meeting. These challenges toward enhanced maritime radio communication systems would make it change largely the concepts of traditional navigation We suggest future directions of maritime information communication systems, investigating the study results of IMO and ITU-R.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.6
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• pp.603-608
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• 2014

In the maritime traffic environment, the near-miss between vessels is the situation approaching on collision course but collision accident is not occurred. In this study, in order to calculate the near-miss between navigating vessels, the discriminating equation using ship bumper theory and vessel position clustering methods are proposed. Applying proposed module to the vessel trajectories of the WANDO waterway, we assessment navigational risk factors of vessel type, navigational speed, meeting situation.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.12
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• pp.2636-2641
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• 2010

To support anti-collision between ship to ship and sea-search and sea-rescue work, ship automatic identification system(AIS) that can both send and receive messages between ship and VTS Traffic control have been adopted. And port control system can control traffic vessel service which is co-operated with AIS. For more efficient traffic vessel service, ship recognition and display system is required to cooperated with AIS. In this paper, we propose ship detection system which is co-operated with AIS by using background estimation based on image processing for on the sea or harbor image extracted from camera. We experiment with on the sea or harbor image extracted from real-time input image from camera. By computer simulation and real world test, the proposed system show more effective to ship monitoring.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.7
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• pp.1335-1343
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• 2012

Although navigation systems and automatic identification technologies are in use for nautical safety of ocean vessels, ship collisions are increasing due to the growing number of overseas transportations. Since these accidents are mostly caused by the watch officers and crews' human mistakes, it is essential to develop a new set of systems to prevent such misfortunes. Therefore, we suggest a control and management system which monitors crews in order to conduct secure on-board navigation and nautical safety. We also materialized a mobile terminal system and portable device for the crews to check the status of the ship, and we designed a platform for an integrated surveillance system to assure a harmless voyage. Lastly, we attested the mutual connections of integrated safety-related data.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.1
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• pp.81-87
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• 2021

Many merchant ships sail in the waters surrounding Jeju Island and many fishing vessels catch fish using gill nets, trolling lines, and so on. Meanwhile, marine waste has collected in the coastal waters of Jeju Island. However, there has been little research on the collection of marine waste in coastal waters. In this study, marine waste deposited in Jeju Island's northwest sea was collected using Jeju National University's training ship, and related vessels were analyzed for each gear type. According to the results, most coastal waters had abandoned fishing grounds, which were from fishing vessels, and a large proportion of them was gill net and trap fishing gear. To analyze how much marine waste is accumulating in a certain area and ship's stay time, we use automatic identification system (AIS) data to extract the time spent in the target sea, and the amount of marine waste per hour was analyzed in a unit distance of 1 ㎢. The average amount of marine waste generated per hour in the unit area was found to be 0.94 kg for gillnet fishing gear, 3.49 kg for trap fishing gear, 0.10 kg for trawl fishing gear, 0.11 kg for longline fishing gear, and 0.02 kg for other fishing gear.

• Proceedings of KOSOMES biannual meeting
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• 2005.11a
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• pp.53-58
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• 2005

An international study on Class B AIS for Non-SOLAS vessels is in progress through IMO and IEC. The IEC issued CDV(Committee Draft for Vote) on March 3, 2005, as IEC 62287, which includes operational and performance requirements, methods of test and required test results about Class B AIS. In this paper, we proposed the method of making Class B AIS properly onboard. This research deals with the problems of introducing Class B AIS which is properly applicable on small fishing vessels as well as domestic Non-SOLAS vessels. Moreover, several technical considerations were suggested to develop a national technical standards for Class B AIS.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.05a
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• pp.206-207
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• 2019

우리나라에서 해상교통관제시스템(Vessel Traffic Service, VTS) 구역을 설정하여, 관제사를 중심으로 한 VTS와 선박사이의 해상교통상황 등의 교환을 통해 항만의 안전과 항만운영의 효율을 높이고 있다. 향후, 연안으로 확대될 예정이다. 더 넓은 해역에 대해서는 해양안전종합정보시스템(GICOMS)이 있으며, 선박자동식별장치 (AIS), 장거리위치추적시스템 (LRIT) 등에서 송신하는 선박의 운항정보를 수신하여 전자해도에 표시하고 있다. 이와 같은 선박관제정보는 빅데이터로 향후 자동화된 분석과 제원체계가 요구된다. 여기서는 해상교통관제정보 기초 활용 연구로, 소청초 종합해양과학기지주변의 AIS (Automatic Identification System)정보를 사용하여 선박 활동 특성 해석을 진행하였다.

• Journal of the Korean Society of Marine Environment & Safety
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• v.23 no.2
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• pp.153-160
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• 2017

It may be reasonable to consider density per unit area over time rather than analyze traffic volume, which is simply the traffic volume per unit of time, in assessing the maritime traffic congestion of a certain area. This study contributes to the standardization of maritime traffic congestion assessment methods for the maritime traffic safety diagnosis institute while seeking a new method to minimize evaluation error due to converted traffic volume per ship tonnage level. To solve this problem, a method to evaluate maritime traffic congestion by comparing the area occupied by a vessel with the area of its route using vessel identification data from the Automatic Identification System (AIS) has been proposed. In this new model, it is possible to use actual data due to the development of information and communication technology, reducing conversion error while allowing for the evaluation of maritime traffic congestion by route.