• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2003.05a
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• pp.51-59
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• 2003

Marine Casualty Forecasting System (MCFS) is to broadcast the prediction number and risk level of marine casualties as like daily weather forecasting. The MCFS consists of marine casualty numerical D/B, prediction model and, three-dimensional statistics visualization system. The implementation procedure for the numerical D/B is described in the paper. The data relating to a total of 724 ship casualties in the west-southern sea area (latitude 33$^{\circ}$N∼35$^{\circ}$ and longitude 124$^{\circ}$E∼127$^{\circ}$E) of Korean peninsula for 11 years (1999∼2000) have been compiled. The analysis method of numerical D/B is proposed and discussed its usability.

• Journal of Navigation and Port Research
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• v.27 no.5
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• pp.487-492
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• 2003

The paper describes on the implementation of marine casualty prediction model that is one of the main part of Korean MArine Casualty FOrecasting System (K-MACFOS). In this work, Cell Distributed Linear-In-the-Parameter (CD-LIP) model is proposed and discussed its usability with comparing Baltic model and revised LIP model. As evaluation results by regression analysis of variance, it is known that the CD-LIP model gives best performance to the marine casualty numerical D/B of the target sea area.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2003.05a
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• pp.60-65
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• 2003

The paper describes on the implementation of marine casualty prediction model that is one of the main part of Marine Casualty Forecasting System (MCFS). In this work, Cell Distributed Linear-In-the Parameter (CD-LIP) model is developed and compared with Baltic model using regression analysis of variance. As comparing, it is known that the proposed CD-LIP model has less residual than the Baltic model and, it gives best performance to the marine casualty numeric D/B of target area.

• Journal of Navigation and Port Research
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• v.27 no.4
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• pp.359-366
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• 2003

The paper describes on the construction and analysis of marine casualty numerical D/B (N-D/B) to implement Korean MArine Casualty Forecasting System (K-MACFOS). The main target of K-MACFOS is to broadcast the prediction number and risk level of marine casualties as like daily weather forecasting. The data relating to a total of 724 ship casualties in the west-southern sea area (33oN∼35oN, 124oE∼127oE) of Korean peninsula for 11 years (1990∼2000) have been compiled and converted into quantitative data with 14 numeric conversion scales. Through the statistical analysis using contour-map visualization, the usability of N-D/B and the casualty features of the target sea areas are discussed. In addition, the optimum year-band selection method is also proposed to provide correct N-D/B analysis and precise prediction of the number of marine casualties.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2013.06a
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• pp.385-387
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• 2013

기존의 해양사고 데이터에 기반한 해양안전관리체제에서 준해양사고 중심의 데이터 분석을 통하여 보다 선제적인 해양사고 예방시스템 구축에 대하여 고찰하는 한편, 인천VTS의 사례로 준해양사고 데이터 기반의 해양안전관리체제를 살펴보고, 그 중심에서 VTS의 기능을 확장할 수 있는 방안에 대하여 총체적으로 연구함

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2010.06a
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• pp.247-250
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• 2010

해상에서 실시간 USN 기반의 각종 해양안전 관련 시스템이 구축되고 있고, 해상에서의 기상에 의한 안전사고는 해마다 지속적으로 발생하고 있지만 해상에서의 선박안전에 필요한 기상정보시스템은 매우 부족한 실정이며 기상청 예보에만 의존하고 있다. 해상 및 연안에서 선박 안전관리를 위해서는 보다 세밀한 기상정보시스템 구축이 필요하며 관련 담당자 및 선박운항 당사자가 사전에 미리 판단할 수 있는 객관적인 정보제공이 필요하며, 이를 위한 해양기상예보시스템 개발을 수행하였다.

• Journal of Navigation and Port Research
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• v.28 no.1
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• pp.17-22
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• 2004

The paper describes implementation of three-dimensional visualization system that is to provide comprehensive meaning of the statistical prediction results on the marine casualties. Graphical User Interface (GUI) and Web based Virtual Reality (VR) technology are mainly introduced in the system development. To provide daily forecasting, time based casualty prediction model and risk level index are developed in this work. As operating test results of the system, complicated statistical meaning can be shown in the three-dimensional virtual space using simple color. In addition, daily risk levels can be shown on the bar-graph.

• Proceedings of KOSOMES biannual meeting
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• 2002.10a
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• pp.163-175
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• 2002

가상현실 기법(virtual reality technologies)를 해양안전사고 가시화 시스템 개발에 적용하기 위한 개발론에 대해서 기술하였다. ‘목포해심’ 재결서 700여가지 사건에 대한 분류표와 수령화 표를 작성하여 질적 데이터를 양적 데이터로 변환하였다. 개발론에 대한 검토결과, 과거 10년 간의 해양사고 사건사례를 압축하여 저차원 데이터를 획득하기 위해서는 다변량해석기법(multivariate analysis)을 적용해야하고, 위기관리를 종합적으로 수행하기 위해서는 기존에 제시되고 있는 PRA, QRA, SPE 등의 기법 중 적합한 것을 적용할 필요가 있으며, 통계 데이터의 가시화를 위해서는 MATLAB의 Simulink 와 VR Toolkit을 이용하면 가능함을 분석할 수 있었다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2003.05a
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• pp.66-72
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• 2003

The paper describes on the implementation of three-dimensional visualization system that is to visualize meaning of the statistical prediction results of marine casualty with easy of understanding. Graphical User Interface(GUI) and Web based Virtual Reality (VR) technology are mainly introduced in the system development. In addition, the time based prediction models of the marine casualty and the risk level are developed to display daily situation. As operating test results of the system, it is known that complicated statistical results can be shown as simple colour in the three-dimensional virtual space.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.1383-1386
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• 2021

태풍 관련 해양 사고에 대한 구체적인 예방책이나 대책이 없는 현재 태풍 사고 예방을 위한 대책이 필요하다. 이에 본 논문에서는 빅데이터를 이용해 기상 예보, 현재 항해 중인 선박, 선박사고 지역 등을 나타내는 시스템을 구현하였다. 또한 본 논문에서는 사용자의 편의를 위해 국민의 대부분이 사용한다고 할 수 있는 스마트폰에서 사용할 수 있도록 애플리케이션으로 서비스를 제공할 수 있도록 개발하였다.