• Title/Summary/Keyword: 수색과 구조

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Analysis of Drift Prediction Formula Used in the Search and Rescue Mission (수색구조 작업에 사용되는 표류지점 추정 공식 분석)

  • 강신영
    • Journal of Korean Port Research
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    • v.12 no.2
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    • pp.373-384
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    • 1998
  • In search and rescue mission the leeway formula based on the field experiments are utilized for the estimation of wind effect on distressed targets. This paper summarized the leeway formula from the available references. In the summary the environmental data collection method and experimental conditions are described along with the formula. Also the formula currently used in CASP of the U.S. Coast Gurard and CANSARP of the Canadian Coast Guard are discussed.

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Evaluation of Risk Level for Damage of Marine Accidents in SRRs using Fuzzy Theory (해양사고 피해규모에 의한 수색·구조 구역의 위험수준 평가)

  • Jang Woon-Jae;Keum Jong-Soo
    • Journal of Navigation and Port Research
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    • v.28 no.10 s.96
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    • pp.909-915
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    • 2004
  • This paper suggests an evaluation of risk level for damage of marine accidents in SRRs. Qualitative analyses in words is sometimes priorior to quantative analyses in numeric symbols. This paper introduces a concept of fuzzy theory with the plenty of related literature riview and AHP in the Korean SRRs of RCC and RSC. The methodology of this paper is $max{\cdot}min$ composition of fuzzy extensive principle, defuzzifiation is centroid of gravity methods. At the result, the evaluation of risk level is especially over Serious for marine accident of Busan SRRs. This paper recommends that many Rescue Vessels and Equipments need to the reduction of risk level about those.

Evaluation of Risk Level for Damage of Marine Accidents using Fuzzy AHP (퍼지AHP법을 이용한 해양사고 피해규모에 의한 위험수준 평가)

  • Jang Woon-Jae;Keum Jong-Soo
    • Proceedings of KOSOMES biannual meeting
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    • 2004.11a
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    • pp.83-88
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    • 2004
  • This paper suggests on evaluation of risk level for damage of marine accidents in SRRs. This paper intoduces a concept of fuzzy logic with the plenty of related literature riview, fuzzy measure t-seminormed fuzzy integral and in the Korean. SRRs of RCC and RSC. The methodology of this paper is max$\cdot$min composition of fuzzy extensive principle, defuzzifiation is centroid of gravity methods. And final evaluation value using t-seminormed fuzzy integral. At the result, the evaluation of risk level is especially over Serious for marine accident of Mokpo, Tongyoung, Busan SRRs. This paper recommends tint many Rescue Vessels and Equipments need to the reduction of risk level about those.

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세월호 해양사고 대응지원 소개 및 원인분석 방향

  • Yang, Chan-Su;Park, Yeong-Su;Jeon, Ju-Yeong
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2014.06a
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    • pp.61-62
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    • 2014
  • 우리나라에서 2014년 4월 16일 발생한 세월호 침몰과 관련하여, 수색과 구조에 필요한 수온 등의 해양환경정보를 인공위성을 통해 획득하였고, 매일 이 자료를 제공하였다. 또한 세월호 전복으로 발생한 기름 유출의 공간적 현황을 파악하고 대응하기 위한 유출유 현황자료를 지속적으로 제공하였다. 또한 해양오염 피해 대응을 위해 어장정보에 대한 제공도 하였다. 이번 사고에 대한 경위를 검토, 그 원인분석의 필요성과 방향, 그리고 대응지원 사례를 중심으로 소개하고자 하며, 자세한 사항은 학술대회에서 발표하고자 한다.

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천안호 침몰해역의 해상조건 분석

  • Lee, Jung-U;Kim, Gyu-Gwang;Kim, Gang-Min;Gwon, So-Hyeon;Lee, Hyeong-Ha
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2010.04a
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    • pp.227-230
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    • 2010
  • 2010년 3월 26일 21시 45분경, 백령도 서남쪽 1.6km(1마일)해상에서 대한민국 해군의 초계함 천안함이 원인 미상의 사고로 침몰한 사건이 발생하였다. 이에 연안공학자의 입장에서는 수색 및 구조에 필요한 기초자료인 해상조건들을 제공하고 시뮬레이션을 통한 보다 자세한 예측 및 유추가능한 자료를 제공한다는 것은 뜻깊은 일임에 틀림없다. 이에 본 연구에서는 백령도-대청도 부근해역의 기상, 파랑, 조석 및 조류, 저질, 부유사 상태등을 조사 분석하고 이를 기초로 해역특성을 분석하였다. 사건당시의 유속상황은 소조기(neap tide)-중조기 (mean tide) 사이에 해당하며 3월 26일이 지나고 4월 3~4일까지는 유속이 가장 강한 대조기 (spring tide)가 진행되는 시점으로 수색 및 구조작업에 에로사항이 있는것으로 파악되었다. 또한, 21:00-22:00 경은 낙조가 진행 중에 있기 때문에 물질이동은 남동쪽이 우세할 것으로 보이며 특히, 불규칙한 해저지형으로 인하여 급격한 와류 등이 존재할 것으로 판단되어 입자추적실험을 수행하였다. 수행 결과, 입자는 유속상황에 따라서, 초기에는 남동쪽으로 이동하지만 장기 예측결과, 외해쪽으로 흘러가는 것으로 나타났다. 이를 통하여 추후, 수색작업의 범위를 외해쪽으로 확대시켜야 할 것으로 사료된다.

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Evaluation of Risk Level for Damage of Marine Accidents in SRRs using Fuzzy AHP (퍼지AHP법을 이용한 해양사고 피해규모에 의한 수색$\cdot$구조 구역의 위험수준 평가에 관한 연구)

  • Jang Woon-Jae;Keum Jong-Soo
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.11 no.2 s.23
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    • pp.27-32
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    • 2005
  • This paper suggests an evaluation of risk level for damage of marine accidents in SRRs. This paper intoduces a concept of fuzzy logic with the plenty of related literature riview, fuzzy measure t-seminormed fuzzy integral and in the Korean SRRs of RCC and RSC. The methodology of this paper is max. min composition of fuzzy extensive principle, defuzzifiation is centroid of gravity methods. And final evaluation value using t-seminormed fuzzy integral. At the result, the evaluation of risk level is especially over serious for marine accident of Mokpo, Tongyoung, Yeosu SRRs.. This paper recommends that many rescue vessels and equipments need to the reduction of risk level about those.

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Maritime Search And Rescue Drone Using Artificial Intelligence (인공지능을 이용한 해양구조 드론)

  • Shin, Gi-hwan;Kim, Jin-hong;Park, Han-gyu;Kang, Sun-kyong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.688-689
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    • 2022
  • This paper proposes the development of an AI drone equipped with motion detection and thermal imaging camera to quickly rescue people from drowning accidents. Currently, when a drowning accident occurs, a large number of manpower must be put in to find the person who needs it, such as conducting a search operation. The time required for this process is too long, and especially the night search is more difficult for a person to do directly. To solve this situation, we are going to use AI drones.

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Hiker Mobility Model and Mountain Distress Simulator for Location Estimation of Mountain Distress Victim (산악 조난자의 위치추정을 위한 이동성 모델 및 조난 시뮬레이터)

  • Kim, Hansol;Cho, Yongkyu;Jo, Changhyuk
    • Journal of the Korea Society for Simulation
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    • v.31 no.3
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    • pp.55-61
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    • 2022
  • Currently police and fire departments use a Network/Wifi/GPS based emergency location positioning system established by mobile carriers to directly link with the device of the people who request the rescue to accurately position the expected location in the call area. However in the case of mountain rescue it is difficult to rescue the victim in golden time because the location of the search area cannot be limited when the victim is located in a radio shadow area of the mountain or the device power is off and this situation become worse if victim fail to report 911 by himself due to the injury. In this paper, we are expected to solve the previous problem by propose the mobile telecommunication forensic simulator consist of time series of cell information, human mobility model which include some general and specific features (age, gender, behavioral characteristics of victim, etc.) and intelligent infer system. The results of analysis appear in heatmap of polygons on the map based on the probability of the expected location information of the victim. With this technology we are expected to contribute to rapid and accurate lifesaving by reducing the search area of rescue team.

Hyperspectral Image Analysis Technology Based on Machine Learning for Marine Object Detection (해상 객체 탐지를 위한 머신러닝 기반의 초분광 영상 분석 기술)

  • Sangwoo Oh;Dongmin Seo
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.7
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    • pp.1120-1128
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    • 2022
  • In the event of a marine accident, the longer the exposure time to the sea increases, the faster the chance of survival decreases. However, because the search area of the sea is extremely wide compared to that of land, marine object detection technology based on the sensor mounted on a satellite or an aircraft must be applied rather than ship for an efficient search. The purpose of this study was to rapidly detect an object in the ocean using a hyperspectral image sensor mounted on an aircraft. The image captured by this sensor has a spatial resolution of 8,241 × 1,024, and is a large-capacity data comprising 127 spectra and a resolution of 0.7 m per pixel. In this study, a marine object detection model was developed that combines a seawater identification algorithm using DBSCAN and a density-based land removal algorithm to rapidly analyze large data. When the developed detection model was applied to the hyperspectral image, the performance of analyzing a sea area of about 5 km2 within 100 s was confirmed. In addition, to evaluate the detection accuracy of the developed model, hyperspectral images of the Mokpo, Gunsan, and Yeosu regions were taken using an aircraft. As a result, ships in the experimental image could be detected with an accuracy of 90 %. The technology developed in this study is expected to be utilized as important information to support the search and rescue activities of small ships and human life.