• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.1-12
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• 2022

In the event of a maritime distress accident, rapid search and rescue operations using rescue assets are very important to ensure the safety and life of drowning person's at sea. In this paper, we analyzed the surface layer current in the northwest sea area of Ulleungdo by applying machine learning such as multiple linear regression, decision tree, support vector machine, vector autoregression, and LSTM to the meteorological information collected from the maritime observation buoy. And we predicted the drowning person's route at sea based on the predicted current direction and speed information by constructing each prediction model. Comparing the various machine learning models applied in this paper through the performance evaluation measures of MAE and RMSE, the LSTM model is the best. In addition, LSTM model showed superior performance compared to the other models in the view of the difference distance between the actual and predicted movement point of drowning person.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.4
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• pp.804-810
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• 2017

Distress accidents occur annually by and failure of sea rescue and time delay lead to fatal accident. In the event of maritime distress, most of the equipments used for search and rescue are in responsible for the position of ships. An MOB equipment is a representative equipment for lifesaving and uses AIS communication method. However, the MOB equipment has problems of interference with existing vessel traffic process and it is difficult to apply because there is no proper certification standard. Therefore, this paper proposes a maritime search and rescue supporting system using smartphone. Utilizing the widely constructed IT infrastructure, it collects position information of the fishing boat and leisure ship using GPS embedded in the smartphone. Also the developed system supports to participate in the rescue by sending the information about the occurrence of the survivor in a certain area to the ship operator.

• Proceedings of KOSOMES biannual meeting
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• 2007.11a
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• pp.169-174
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• 2007

A huge marine accident causes a loss of valuable lives, property and the serious environmental contamination. In the IMO, active discussions about a potential occurrence possibility of marine accidents and appropriate place(place of refuge) to minimize the damage are being developed as appropriate transferring vessels which has a worry of a secondary marine environmental pollution from a previous marine accident Our country has a great potential et marine accidents due to the foreign vessel in distress because there is a huge vessel traffic amounts of the passage since which locate with in the important navigation connects the Asian region. and North America centering around north Pacific Ocean Also, we need the minimize the secondary damage from accident which occurs in domestic ports as transferring safe쇼 place when it is needed In this paper, analyzed and investigated a designated the place of refuge that analyze foreign cases, and will make a efficient and reasonable investigating plan of interior place of refuge.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.5 no.4
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• pp.676-683
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• 2001

This thesis is what accident in sea have been produced as lost themselves life and property about 500times at every years. Therefore this was induced to experiment on a national basis that the role of communication of ship is to move from lose themselves life and property as well as it is supply the information of shipwreck on all sailing the ship throughout construct the whole an intelligence network of system on a disaster at sea.

• Journal of Fisheries and Marine Sciences Education
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• v.28 no.6
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• pp.1581-1590
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• 2016

In order to reduce the risk of death from hypothermia for the fishing vessel's crew at sea, this paper suggests that the criteria of equipment of fishing vessels should be revised for fishing vessels engaged in coastal and inshore fisheries to be equipped with the immersion suit. The criteria of equipment of fishing vessels for immersion suits was amended to reflect the sinking of No.501 Oryongho but it was only reflected in ocean fisheries at Bering sea and Antarctic ocean that immersion suits must be provided with the same number of the total number of crew on board. Therefore, this paper analyses the relationship between maritime accident of fishing vessels and weather condition based on sea water temperature to find out the risk of hypothermia and also compares the international conventions(SFV Protocol 1993, Cape Town Agreement 2012, STCW-F 1995 and SOLAS 1974) and domestic law concerning criteria of equipment of fishing vessels. As a result, fishing vessels engaged in coastal and inshore fisheries are exposed to the risk of hypothermia when they are in distress and the criteria of equipment of fishing vessels should be amended to provide the immersion suits in accordance with the revision trend of international conventions.

• 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.

• Journal of the Korean Society of Marine Environment & Safety
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• v.26 no.7
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• pp.798-809
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• 2020

Evidence-based policymaking and assessments for scientific administration have increased the importance of statistics (data) utilization. Statistics can explain specific phenomena by providing numerical values and are a public resource for national decision making. Due to these inherent attributes, statistics are utilized as baseline and base data for government policy determinations and the analysis of various phenomena. However, compared to the importance, the role of statistics is limited, and statistics are often used as simple abstracts, produced mainly for suppliers, not for consumers' perspectives to create value. This study explores the statistical data and other attributes that can be utilized for policies or research to address the problems mentioned above. The baseline statistical data used in this study is from the Maritime Distress Accident Statistical Yearbook published by the South Korean Coast Guard, and other additional attributes are from text analyses of vessel casualty situation reports from the South Korean Maritime Police. Collecting 56 attributes drawn from the text analysis and executing an EDA resulted in 88 attribute unions: 18 attribute unions had a satisfactory significance probability (p-value < .05) and a strong correlation coefficient above 0.7, and 70 attribute unions had a middle correlation. (over 0.4 and under 0.7). Additionally, to utilize the extra attributes discovered from the EDA politically, a keyword analysis for each detailed strategy of the disaster Preparation basic plan was executed, the utilization availability of the attributes was obtained using a matching process of keywords, and the EDA deducted attributes were examined.

• Journal of the Korean Society of Marine Environment & Safety
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• v.24 no.7
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• pp.870-874
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• 2018

In the worst maritime accidents, people should abandon ship, but ship structures are narrow and complex and operation takes place on rough seas, so escape is not easy. In particular, passengers on cruise ships are untrained and varied, making evacuation prospects worse. In such a case, the evacuation management of the crew plays a very important role. If a rescuer enters a ship at distress and conducts rescue activities, which zones represent the most effective entry should be examined. Generally, crew and rescuers take the shortest route, but if an accident occurs along the shortest route, it is necessary to select the second-best alternative. To solve this situation, this study aims to calculate evacuation routes using Q-Learning of Reinforcement Learning, which is a machine learning technique. Reinforcement learning is one of the most important functions of artificial intelligence and is currently used in many fields. Most evacuation analysis programs developed so far use the shortest path search method. For this reason, this study explored optimal paths using reinforcement learning. In the future, machine learning techniques will be applicable to various marine-related industries for such purposes as the selection of optimal routes for autonomous vessels and risk avoidance.