• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2022.06a
• /
• pp.139-140
• /
• 2022

자율운항선박은 사람이 없다는 전제를 두고 개발되고 있지만, 완벽한 자율운항이 되기까지는 많은 시간이 필요할 것이다. 이러한 경우, 발생 가능한 모든 경우의 수를 고려하여 시나리오를 구축하는 것이 중요한데, 자율운항 선박에 대한 사고는 아직 발생한 바가 없기 때문에 시나리오를 구축하는 것은 어렵다. 이에, 본 연구에서는 기존 조사된 해양사고 사고·사례를 통해 아직 발생한적 없지만 발생가능 확률이 높다고 생각되는 사고 시나리오를 구축하여야 한다. 이러한 시나리오가 있다면 자율운항선박 사이의 사고 등을 확률적으로 추정할 수 있다. 한편, 해양사고의 종류는 다양하나, 본 연구에서는 위험유해물질(HNS)을 적재된 자율운항선박으로 제한하며, 최종 목표는 자율운항의 기초 단계로, 무인화 선박에서 발생 가능한 사고경로를 예측하여 화학 사고를 예방하는 것이다. 본 연구의 목적으로는 기존의 해상 화학사고 원인을 분석하여 ETA기법을 적용한 자율운항 선박에서 발생 가능한 사고 시나리오를 구축하는 것이다. 연구방법으로는 자율운항 시 발생할 수 있는 가상경로를 화학반응식으로 식별하고, ETA기법을 이용하여 화학사고가지분석(CATA, Chemical Accident Tree Analysis)모델을 구축할 예정이다.

• Proceedings of KOSOMES biannual meeting
• /
• 2018.06a
• /
• pp.24-24
• /
• 2018

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2014.10a
• /
• pp.159-160
• /
• 2014

국민소득 증대와 여가시간 증가에 따른 여가 활동에 대한 수요가 증가하고 해양관광 및 해양레저에 대한 수요가 지속적으로 증가하고 있다. 기존의 낚시 활동이 전문낚시객에서 가족중심의 체험을 통한 해양관광 형태로 변화하고 있어 해양관광 활성화와 이에 적합한 모델 개발이 시급한 실정이다. 낚시활동을 기반으로 한 새로운 해양관광 모델인 낚시복합타운조성을 위한 낚시인구 및 이용자 실태조사를 실시하여 낚시복합타운 조성을 위한 기초자료로 사용하고자 한다.

• Journal of Navigation and Port Research
• /
• v.38 no.5
• /
• pp.437-442
• /
• 2014

Ocean Literacy is an understanding of the ocean's influence on you and your influence on the ocean. This research developed the 7 ocean education model courses using ocean literacy based on the analysis of ocean education programs which executed 23 agencies in Busan. These model courses are combined in the type of indoor theory, indoor experience, field study and field experience. Also, this makes the guide map for ocean education in a 76cm*56cm size to distinguish and choose the course easily. This map is the format combined in geological location and tourist attraction spots in Busan, includes education centers, contents, lead time and so on, and it is possible for educatees to handle their preference and seasonality elastically. This map including ocean education model course is a milestone to activate ocean education, and is helpful to reach the goal of ocean education and to lead ocean professionals. In addition, this research presents the development of teaching materials, training aids to complement the weakness of indoor education, the development of cyber education through making video contents as the activation measures of ocean education.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.29 no.7
• /
• pp.828-835
• /
• 2023

Vessel traffic service operators (VTSOs) need to quickly and accurately analyze the maritime traffic situation in the vessel traffic service (VTS) area and provide information to the vessels. However, if traf ic increases rapidly, the workload of VTSOs increases, and they may not be able to provide adequate information. Therefore, it is essential to develop VTSO support technologies that can reduce their workload and provide consistent information. In this paper, we propose a model for automatically detecting abnormal vessels in the VTS area. The proposed model consists of a positional model and a contextual model and is specifically optimized for the traffic characteristics of the target area. The implemented model was tested by using real-world data collected at a test center (Daesan Port VTS). Our experiments confirmed that the model could automatically detect various abnormal situations, and the results were validated through expert evaluation.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.30 no.1
• /
• pp.82-88
• /
• 2024

As the modern maritime industry rapidly progresses through technological advancements, data processing technology is emphasized as a key driver of this development. Natural language processing is a technology that enables machines to understand and process human language. Through this methodology, we aim to develop a model that predicts the proportions of outcomes when entering new written judgments by analyzing the rulings of the Marine Safety Tribunal and learning the cause-providing ratios of previously adjudicated ship collisions. The model calculated the cause-providing ratios of the accident using the navigation applied at the time of the accident and the weight of key keywords that affect the cause-providing ratios. Through this, the accuracy of the developed model could be analyzed, the practical applicability of the model could be reviewed, and it could be used to prevent the recurrence of collisions and resolve disputes between parties involved in marine accidents.

• Journal of Korean Port Research
• /
• v.11 no.2
• /
• pp.241-255
• /
• 1997

Three dimensional numerical model is used to simulate the circulation patterns in the Gamcheon Bay located in Pusan, Korea and compared with the observed data. The model is forced by winds, tidal elevation at open boundaries, and warm water discharged from the outfall of power plant, Turbulence mixing coefficients are calculated according to a ${\kippa}-{\varepsilon}$ turbulence closure submodel. Temperature, salinty and current are measuted extensively and these measuted data are compared with the simulation results. Eddy-like features exist both in observed data dna simulation results. These eddies are the results of interaction with the weak tidal current, wind driven current and warm water discharges. Compensational deeects are also found to exit such that while surface current is strong, bottom current tends to weaken and vice versa.

• Proceedings of KOSOMES biannual meeting
• /
• 2007.11a
• /
• pp.193-195
• /
• 2007

해양생태계로 유입되는 화학물질의 총합적인 평가 및 관리를 위해서는 동 화합물의 해양환경중의 거동 및 운영, 생태계에의 영향, 관리방안에 따른 화학물질의 변화 예측 및 리스크 평가 등을 행할 필요가 있으며, 이를 위하여는 화학물질에 대한 생태계 모델이 유용한 수단이 될 수 있다. 본 연구에서는 여러 화학물질에 적용할 수 있으며, 지역특성, 존재 데이터 상황, 대상 수산물의 특성을 고려하여 여러 상태함수 및 프로세스의 추가와 삭제가 가능한 3차원 생태계 모델(EMT-3D)을 사용하여 해양환경중의 PFCs 관련물질을 대상으로 그 적용성을 검토하였으며, 민감도 분석 및 시나리오 분석을 행하여 영향인자를 판별하고 대안에 따른 영향을 평가하였다.

• Proceedings of KOSOMES biannual meeting
• /
• 2008.05a
• /
• pp.25-31
• /
• 2008

In order to develope the standard service model of coast guard at fishing ports, which responses to the demand of users and provides them with the good and tailored maritime administration services with limited resources, the services of Korea coast guard related to fishermen are sorted and their demands are analyzed at Nokdong fishing port. The standard service model for Nokdong on the basis of user's requests and maritime administration demands in the future is designed.

• Journal of Korean Society of Coastal and Ocean Engineers
• /
• v.34 no.3
• /
• pp.72-81
• /
• 2022

Positions of five drifting buoys deployed on August 2020 near southwestern area of Jeju Island and numerically predicted velocities were used to develop five Artificial Intelligence-based models (AI models) for the prediction of particle tracks. Five AI models consisted of three machine learning models (Extra Trees, LightGBM, and Support Vector Machine) and two deep learning models (DNN and RBFN). To evaluate the prediction accuracy for six models, the predicted positions from five AI models and one numerical model were compared with the observed positions from five drifting buoys. Three skills (MAE, RMSE, and NCLS) for the five buoys and their averaged values were calculated. DNN model showed the best prediction accuracy in MAE, RMSE, and NCLS.