• Title/Summary/Keyword: Marine search and rescue

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Evaluation of Risk Level for Damage of Marine Accidents in SRRs using Inner-Outer Dependence Method (내부-외부 종속법을 이용한 수색.구조 구역의 위험성 평가)

  • Jang, Woon-Jae;Keum, Jong-Soo
    • Proceedings of KOSOMES biannual meeting
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    • 2006.05a
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    • pp.59-64
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    • 2006
  • In this study, the risk of SRRs was assessed upon the scale of the damage of marine accidents. For the risk assessment, inner-outer dependence methods and special knowledge-based fuzzy logic were introduced. Also, in order to calculate the importance of assessment value in this study, a max min composition method was used for fuzzy logic based on the principle of fuzzy extension and the centroid of gravity method was used for non-fuzzy formation. In order to produce the importance of assessment items, the inner-outer dependence methods were used for assessment items, and markov analysis method was used for the importance of the final comprehensive assessment. As a result, the risk of SRR of Tongyoung and Yeosu was proven relatively higher, thus, it needs to have more rescue ships and rescue devices for relieving the risk in the future.

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A Cost-Benefit Estimate for MARSA

  • Smith, Matthew;Yun, Jong-Hwui
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.20 no.3
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    • pp.292-295
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    • 2014
  • This paper proposes that the Marine Search & Rescue and Salvage Association of Korea (MARSA) can provide KCG a very positive return on investment; that is, MARSA will save lives and property well over the budget needed from KCG to operate MARSA. To perform this Cost-Benefit Analysis, actual performance data and other figures are taken from the USCG Auxiliary, and these figures are used to project expected possible MARSA results. In this paper, MARSA is projected to provide a 1,493 % return on investment.

Lifejcket-Integrated Antenna for Search and Rescue System (탐색 및 구조 시스템용 구명조끼 내장형 안테나)

  • Lim, Ji-Hun;Yang, Gyu-Sik;Jung, Sung-Hun;Park, Dong-Kook
    • Journal of Navigation and Port Research
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    • v.38 no.4
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    • pp.367-371
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    • 2014
  • When the crew or passengers fall into the water due to marine accident of vessel, it is very important to rescue them quickly. In the case of marine accidents, most people in distress have been wearing a lifejacket, so if the GPS and Cospas-Sarsat communication module will be integrated within the lifejacket, it is easy to rescue them. In this paper, development of the dual band lifejacket-integrated antenna for GPS and Cospas-Sarsat communication is discussed. The antenna with the FR-4 substrate of 0.2mm thickness for flexibility was designed that it can be fitted close to the shoulder of the life jacket and operate at 1.575GHz and 406MHz. The GPS communication antenna was implemented with a ring-slot antenna having a circular polarized characteristic and a meander type linear polarized antenna is used as Cospas-Sarsat communication. The two antennas are fed by a single microstrip line and an open stub is used to minimize the mutual interference between the two antennas. The performance of the fabricated antenna attached to the life vest is confirmed by the measurement of the return loss at GPS and Cospas-Sarsat frequency bands.

Telecommunication System Construction to minimize the Casualty of Fisher in the coastal Fishing Boat (연안 어선에서 어선원 인명피해 최소화를 위한 통신 체계 구축)

  • Kim, Seok-Jae;Kim, Wook-Sung;Lee, Yoo-Won
    • Journal of Fisheries and Marine Sciences Education
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    • v.25 no.3
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    • pp.580-586
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    • 2013
  • For telecommunication system construction to minimize the casualty of fisher, we investigated the usability of TRS communication system and performance of GPS automatic position transmitter (APT) which can be utilized for the survival, search and rescue of the victims. The trial experiments were conducted at sea with TRS and CDMA in the East, West and South Sea of Korea from October to December. As a result, the usability of the TRS as an emergency communication system device was verified since it provided stable position and voice information to the boundary of 50km far from the coast. Therefore the system is expected to contribute to minimization of victims.

China's Reorganization of Maritime Law Enforcement Administrations and ROK-China Maritime Cooperation (중국 해상법집행기관조직 개편과 한·중 해양협력)

  • Kim, Seok-kyun
    • Strategy21
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    • s.33
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    • pp.178-201
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    • 2014
  • China National People's Congress has passed the bill to combine the Marine Law Enforcement into "State Oceanic Administration People's Republic of China". This bill was intended to resolve the overlapping jurisdiction and disputes caused in ocean territory in nearby countries. The purpose of reorganizing the administration was to combine the dispersed organization into one group. This new big administration was basically organized to increase the power of China marine state on the long-term. The reorganization plan is to group General Administration of Customs, China Marine Surveillance, Fisheries Law Enforcement Command, and Border Control Department into one State Oceanic Administration. The new state Oceanic Administration carries the authority to protect rights and enforce the marine law supported by Public Security Bureau. Korea Coast Guard has been cooperating with China Marine Surveillance since 1998 when the first pact was made. The next step expanded to General Administration of Customs. Currently working with Regional Maritime Law Enforcement organizations dealing mostly with illegal Chinese fishing boats and IEODO conflict. In order to solve the problems we face today is to observe the process of the New China Coast Guard administration, analysing the effects that could be caused by the change and to keep close cooperation between the new administrations.

Characteristics of automatic positioning transmitter (APT)using satellite on life jacket to minimize casualties of fisherman (어선원 인명피해 최소화를 위한 구명동의용 위성자동위치발신기의 특성)

  • Kim, Seok-Jae;Kim, Wook-Sung;Lee, Yoo-Won
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.48 no.3
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    • pp.235-241
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    • 2012
  • The efficiency tests of automatic positioning transmitter (APT) using satellite on life jacket were carried out to minimize casualties of fishermen and to make system optimization for effective SAR (Search and Rescue) operation. As the result of the tests, average position was equaled on the comparison between SPOT using low earth orbit satellite and DGPS (Differential Global Positining System), but standard deviation of DGPS for latitude and longitude were 66.4% and 46.3% smaller than those of SPOT. The position precision of SPOT was almost two times lower than LGT using geostationary satellite to compare 95% circular error probability. However, the success rate of receiver for SPOT was revealed as 86.5~94.1% on the experiments in the South Sea and the West Sea and it was 4.5 times higher than LGT. Therefore, SPOT is expected to contribute greatly to the rapid rescue of victim.

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.

Background and Prospect on Carrying Position Indicating Equipment on Board by Law (선박위치자동발신장치 설치 의무화의 배경과 향후 전망)

  • Kwang, An;Kim, In-Cheol
    • Proceedings of KOSOMES biannual meeting
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    • 2007.11a
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    • pp.149-152
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    • 2007
  • According to the Ship Safety Act amended on 23 Mar. 2006, ships above certain size shall curry position indicating equipment The Vessel Monitoring (VMS) will help to upgrade the present search and rescue mechanism and reduce the loss et lives caused by marine accident Public Notice on standards for installation et ship position indicating equipment was published on 1 Nov. 2007 (MOMAF Notice No. 2007-88). In this paper, we would like to introduce the background, applying ships, prospect for currying ship position indicating equipment at the implementation aspect on Vessel Monitoring System.

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Development of a Deep-Learning Model with Maritime Environment Simulation for Detection of Distress Ships from Drone Images (드론 영상 기반 조난 선박 탐지를 위한 해양 환경 시뮬레이션을 활용한 딥러닝 모델 개발)

  • Jeonghyo Oh;Juhee Lee;Euiik Jeon;Impyeong Lee
    • Korean Journal of Remote Sensing
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    • v.39 no.6_1
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    • pp.1451-1466
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    • 2023
  • In the context of maritime emergencies, the utilization of drones has rapidly increased, with a particular focus on their application in search and rescue operations. Deep learning models utilizing drone images for the rapid detection of distressed vessels and other maritime drift objects are gaining attention. However, effective training of such models necessitates a substantial amount of diverse training data that considers various weather conditions and vessel states. The lack of such data can lead to a degradation in the performance of trained models. This study aims to enhance the performance of deep learning models for distress ship detection by developing a maritime environment simulator to augment the dataset. The simulator allows for the configuration of various weather conditions, vessel states such as sinking or capsizing, and specifications and characteristics of drones and sensors. Training the deep learning model with the dataset generated through simulation resulted in improved detection performance, including accuracy and recall, when compared to models trained solely on actual drone image datasets. In particular, the accuracy of distress ship detection in adverse weather conditions, such as rain or fog, increased by approximately 2-5%, with a significant reduction in the rate of undetected instances. These results demonstrate the practical and effective contribution of the developed simulator in simulating diverse scenarios for model training. Furthermore, the distress ship detection deep learning model based on this approach is expected to be efficiently applied in maritime search and rescue operations.