• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.173-174
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• 2023

IAMSAR Manual 국문본인 국제항공 및 해상수색 구조편람에 따른 확대사각(SS: Expanding Square Search) 수색패턴은 수색 대상의 표류 위치를 한정할 수 있을 때 적용하도록 하고 있으며, 수색 기법에 있어 추측항법 적용의 필요성과 함께 조난대상의 표류 추정 위치인 Datum으로부터의 첫 번째 수색 방향 S의 결정은 바람이 불어오는 쪽인 풍상 측을 향하도록 하여 항해 오차를 최소화할 것을 요구하고 있다. 그러나 첫 직행 구간 S 결정에 있어 IAMSAR Manual 영문본 및 USCG SAR Manual에 따르면 S는 풍하 측 또는 표류하는 방향으로 결정하는 것이 옳은 것으로 해석될 수 있으며 이는 항해 오차를 최소화하기 위한 추측항법 적용 관점에도 부합하는 것으로 보이는바, 이 연구에서는 USCG SAR Manual 등 다른 수색 지침서에서는 Drift 방향으로 제시한 첫 번째 S 방향을 근거로 IAMSAR Manual 국문본의 오류 가능성을 제시하였고, 풍상과 풍하 측으로 상반된 첫 번째 S 방향에 따른 수색 결과의 비교를 위해 선박조종시뮬레이션을 활용, 확대사각 수색상황을 재연하여 각각의 수색패턴을 비교 분석하였다. 이를 통하여 확대사각 수색패턴 결과에서 수색 대상에 더욱 근접한 첫 번째 S 방향은 수색 대상이 표류하는 방향과 일치하는 풍하 측임을 확인하였다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.11a
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• pp.54-56
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• 2023

해양 수색구조 시나리오 수립 시 익수자 생존시간은 의사 결정을 하는 데 있어 중요한 고려 사항이다. 이 연구에서는 국내 보도자료와 설문조사 및 해외 생존모델을 참고하여 수색자원을 신속하고 집중적으로 투입해야하는 집중 수색기간과 생존 가능성을 고려하여 수색을 유지해야하는 추천 수색시간을 정할 때 참고할만한 익수자 생존시간 지표를 개발하였다.

• Proceedings of KOSOMES biannual meeting
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• 2005.11a
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• pp.7-14
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• 2005

As the numbers cf vessels in and out cf korean ports and passing ships through korean waters are increasing, possibilities of marine accidents grow higher and damages caused by such accidents would be expected larger. The author accordingly try to seek for the appropriate measures to enhance the present korean Search and Rescue(SAR) systems and future plans comparing korean system with international movement and relevant systems of maritime advanced countries.

• Journal of the Korean Society of Marine Environment & Safety
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• v.21 no.1
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• pp.34-39
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• 2015

KCG, responsible Agency of maritime SAR operation has been known to address the marine casualties well, however, it was criticized because KCG failed to take prompt and effective response to the recent Ferry disaster at the very early stage. In this regards, the authors analyze the characteristics of marine incident with historical data, and also review and examine the national SAR system focusing on SAR coordination and human resources to make recommendation and suggestion in order to minimize the loss of lives to future marine incidents. As a result, KCG shall augment its capabilities, inter alia, fast libeboats and rescue helicopters for prompt response to marine incidents at the coastal waters, and KCG shall re-adjust the establishment of Rescue Coordination Center to improve operational problems of current system in accordance with IMO guidance, KCG is required to introduce mandatory training, qualification and certificate system to enhance the professionalism of SAR personnel.

• Journal of Korea Ship Safrty Technology Authority
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• s.37
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• pp.77-87
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• 2014

많은 선박 사고에서 해상 조난자를 수색 및 구조하는데 매우 많은 시간이 소요되며, 수중에서 체온저하 등으로 적정 시간 내에 구출되지 못한 조난자의 경우 사망 위험이 매우 높은 실정이다. 이러한 위험을 줄이기 위한 기존 기술로는 발광막대, SOS 부이, SART, EPIRB 등이 있으나, 급박한 상황에서 개인이 활용하는 데에는 한계가 있다. 이에 따라, 이러한 문제를 해결하고 효율적인 수색 및 구조 활동을 위한 새로운 방법을 연구하게 되었다.

• Journal of Navigation and Port Research
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• v.27 no.2
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• pp.121-127
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• 2003

The Korea Maritime Police Agency(KMPA) is the national maritime Search and Rescuee (SAR) authority with the responsibility to promote an efficient organization of SAR services and to coordinate the conduct of SAR operations within the Korean Search and Rescue Region(SRR). The maritime SAR operations shall provide an adequate and effective search and rescue services to minimize the loss by rendering aid to persons in distress and property in the marine environment. The essence of a successful search and rescue operation is the speed with which it is planned and carried out because survivors who need assistance and whose chances of survival diminish rapidly with time. This paper aims to propose an optimal allocation model of maritime SAR fleet in view of minimizing the search and rescue time. When maritime accidents occur, rescue units have to reach to the distress scene within the specified time. For this, SAR units must be redeployed to an advanced base so that Rescue Units(RU) can reach to the scene of distress in the shortest possible time. The Korean maritime SRR is divided into 180 sub-areas in consideration of an operational and technical ability of SAR units. The suggested model is verified through an empirical application to the Korean maritime SRR. And also the Rescue Vessels(RV) required is estimated for each Rescue Co-ordination Center(RCC).

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2003.05a
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• pp.35-41
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• 2003

The Korea Maritime Police Agency(KMPA) is the national maritime Search and Rescue (SAR) authority with the responsibility to promote an efficient organization of SAR services and to coordinate the conduct of SAR operations within the Korean Search and Rescue Region(SRR). The maritime SAR operations shall provide an adequate and effective search and rescue services to minimize the loss of life, injury property damage or loss by rendering aid to persons in distress and property in the marine environment. The essence of a successful search and rescue operation is the speed with which it is planned and carried out because survivors who need assistance and whose chances of survival diminish rapidly with time. This paper aims to propose an optimal allocation model of maritime SAR fleet in view of minimizing the search and rescue time. When maritime accidents occur, rescue units have to reach to the distress scene within the specified time. For this. SAR units must be redeployed to an advanced base so that Rescue Units(RU) can reach to the scene of distress in the shortest possible time. The Korean maritime SRR is divided into 180 sub-areas in consideration of an operational and technical ability of SAR units The suggested model is verified through an empirical application to the Korean maritime SRR. And also the Rescue Vessels(RV) required is estimated for each Rescue Co-ordination Center(RCC).

• Journal of Navigation and Port Research
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• v.47 no.6
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• pp.331-340
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• 2023

Predicting the survival time of a person in water (PIW) in maritime search and rescue (SAR) operations is an important concern. Although there have been many studies on survival models in marine-developed countries, it is difficult to apply them to Koreans in Korea's oceans because they were developed using marine distress data from the United Kingdom, United States, and Canada. Data on the survival time of a P IW were collected through interviews and surveys with a special rescue team from the Korea Coast Guard, SAR cases, press releases, and Korea Meteorological Administration data to address these issues. The maximum survival time (Korean) equation was developed by performing a regression analysis of this data, and the applicability to actual marine distress was reviewed and compared to the overseas survival model. By comprehensively using the maximum survival time (Korean), domestic SAR cases, and overseas survival models, guidelines for survival time and intensive and recommended search time were suggested. The study findings can contribute to decision-making, such as the input for search and rescue units. The findings can also help to determine the end of or reductions in SAR operations and explain policy decisions to the public and families of a PIW.

• Proceedings of KOSOMES biannual meeting
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• 2017.11a
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• pp.82-82
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• 2017

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.4
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• pp.676-682
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• 2018

In wireless sensor networks, we propose an optimization algorithm in order to minimize the consumed energy of nodes for maritime search and rescue. In the marine environment, search and rescue operations are mainly performed on the surveillance side and passively on the rescued side. A self-configurable wireless sensor network can build a system that can send rescue signals in the operations. A simulated annealing algorithm is proposed to minimize the consumed energy of nodes in the networks with many nodes. As the density of nodes becomes higher, the algorithmic computation will increase highly. To search the good result in a proper execution time, the proposed algorithm proposes a new neighborhood generating operation and improves the efficiency of the algorithm. The proposed algorithm was evaluated in terms of the consumed energy of the nodes and algorithm execution time, and the proposed algorithm performed better than other optimization algorithms in the performance results.