• Smart Media Journal
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• v.5 no.3
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• pp.81-87
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• 2016

In line with the sharp increase of container traffic from globalization, ships have become larger with an aim of improving the maritime transport capacity in addition to the growing interest in monitoring danger areas on ships considering the quantity increase of ships, along with the tightening of international standard for ship safety by IMO(international Maritime Organization). Korea established a location based ship accident forecasting and preventing system in 2012 by Korea Coast Guard, however its poor response in ship accidents has been pointed out in the wake of the recent disaster of Sewol ferry. To resolve this problem, this study attempts to design a wearable type, instant emergency response system that has DGPS to issue an alert on danger areas and automatically send ship's location and operation information in emergency situation.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.6B
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• pp.859-866
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• 2010

Digital vessels can occur large a disaster at sea because vessels in fire and collision in case of certain unforeseen circumstances. In this paper, We propose digital vessel context monitoring system through risk analysis. We propose environment information analysis system using wireless sensor that have to acquire marine environment and context of marine digital vessel. For conducting simulation, we chose 300 data sets to train the neural network. As a result, we obtained about 96% accuracy for fire risk context and we obtained 88.7% accuracy for body of vessel risk context. To improve the accuracy of the system, we implement a FEC (Forward Error Correction) block. We implemented digital vessel context monitoring system that transmitted to diagnosis result in CDMA.

• Computational Structural Engineering
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• v.23 no.3
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• pp.21-26
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• 2010

• Bulletin of the Society of Naval Architects of Korea
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• v.48 no.2
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• pp.3-10
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• 2011

• Journal of the Korea institute for structural maintenance and inspection
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• v.9 no.4
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• pp.169-176
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• 2005

An analysis of the annual frequency of collapse(AF) is performed for each bridge pier exposed to ship collision. From this analysis, the impact lateral resistance can be determined for each pier. The bridge pier impact resistance is selected using a probability-based analysis procedure in which the predicted annual frequency of bridge collapse, AF, from the ship collision risk assessment is compared to an acceptance criterion. The analysis procedure is an iterative process in which a trial impact resistance is selected for a bridge component and a computed AF is compared to the acceptance criterion, and revisions to the analysis variables are made as necessary to achieve compliance. The distribution of the AF acceptance criterion among the exposed piers is generally based on the designer's judgment. In this study, the acceptance criterion is allocated to each pier using allocation weights based on the previous predictions.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2020.11a
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• pp.48-49
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• 2020

자율운항선박의 운항과 관련된 각종 센서들에 대한 정확한 분류 및 평가는 항해·충돌방지 자율운항 선박 개발에 있어서 중요한 역할을 한다. 이 연구에서는 원격 모니터링 설계를 위한 모니터링 대상의 개념, 구성 및 연관 기능에 대하여 분석하고 시나리오 기반의 평가방법에 대하여 연구 하였다.

• Journal of the Korea Society for Simulation
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• v.25 no.4
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• pp.127-135
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• 2016

Even thought modernized marine navigation devices help navigators, marine accidents has been often occurred and ship collision is one of the main types of the accidents. Various studies on the assessment method of collision risk have been reported, and studies using fuzzy theory are remarkable for the reason that reflect linguistic and ambiguous criteria for real situations. In these studies, collision risks were assessed on the assumption that the current state of navigation ship would be maintained. However, navigators ignore or turn off frequent alarms caused by the devices predicting collision risk, because they think that they can avoid the collisions in the most of situations. This paper proposes a model of predicting ship collision risk considering the general patterns of collision avoidance, and the approach is based on fuzzy inference and discrete event system specification (DEVS) formalism.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.3
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• pp.112-118
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• 2011

Ship can be faced with more dangerous situations than ground vehicles due to the opened surroundings, sea. Therefore, it is very important to prevent the ship emergency by finding risk factor. In this paper, We propose context-aware monitoring system which that frequently check the condition of ship using the data that get through the installed sensor in the ship as gyro-sensor, strain-gage sensor. We analyzed sensor data through backpropagation algorithm and the Condition and Safety Information of sailing ship is transmitted to the crew's personal mobile device in the ship. Thus, moving crew can check the ship's condition in real time. As a result, we obtained about 95% accuracy for fire risk context and about 89% accuracy for body of Ship risk context in the simulated experiments.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.7B
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• pp.1073-1080
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• 2010

Realization of e-Navigation for maritime safety has become a hot research topic of these years. There has been lots of requirements of the convergence of VTS and new IT technology for prevent maritime accident caused huge mount of damage such as environmental damage of oil spill, human life and property. This paper aims to design of an intelligent VTS system based on context awareness and aids to navigation structure. The proposed system provides timely decision supporting mechanism using by situation awareness, reasoning, risk management technology and also provides information of aids to navigation for secure navigation.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.1A
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• pp.1-9
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• 2006

An analysis of the annual frequency of collapse(AF) is performed for each bridge pier exposed to ship collision. From this analysis, the impact lateral resistance can be determined for each pier. The bridge pier impact resistance is selected using a probability-based analysis procedure in which the predicted annual frequency of bridge collapse, AF, from the ship collision risk assessment is compared to an acceptance criterion. The analysis procedure is an iterative process in which a trial impact resistance is selected for a bridge component and a computed AF is compared to the acceptance criterion, and revisions to the analysis variables are made as necessary to achieve compliance. The distribution of the AF acceptance criterion among the exposed piers is generally based on the designer's judgment. In this study, the acceptance criterion is allocated to each pier using allocation weights based on the previous predictions. To determine the design impact lateral resistance of bridge components such pylon and pier, the numerical analysis is performed iteratively with the analysis variable of impact resistance ratio of pylon to pier. The design impact lateral resistance can vary greatly among the components of the same bridge, depending upon the waterway geometry, available water depth, bridge geometry, and vessel traffic characteristics. More researches on the allocation model of AF and the determination of impact resistance are required.