• Proceedings of KOSOMES biannual meeting
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• 2018.06a
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• pp.41-41
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• 2018

• 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.

• 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 the Korean Society of Fisheries Technology Conference
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• 2002.10a
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• pp.166-167
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• 2002

세끼투명도판에 의한 투명도의 측정은 무엇보다 취급이 간편하고 경제적이다. 투명도는 광량 및 광산란, 현탁물질, 수색 혹은 기초생물량 등이 복합적으로 반영되어 정해지는 것으로 알려져 있다(Buttenveld, 1995; Sanden and Hakanssen, 1996; Yajima, 1996). 투명도는 수질 측정항목에 거의 필수적으로 이용되고 있으나 자료가 정량적으로 분석되어 수질평가에 직접 이용된 사례는 비교적 적다. (중략)

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.1027-1028
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• 2017

드론의 발전 속도는 빠르게 성장하고 있고, 전 세계적으로 방송 촬영, 배송, 구조, 농업분야에서 활용 범위가 확대되고 있다. 본 논문에서의 시스템은 사람이 접근하기 힘든 지역을 간단히 조립하여 수색할 수 있는 스마트 VR 드론을 통해 수색 또는 순찰에 도움이 되고자 한다. 개발된 시스템은 인력과 시간의 제약을 최소화하고, 드론을 통해 촬영한 영상을 사용자에게 가상현실을 이용한 3D영상으로 제공한다.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.5 no.1
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• pp.11-18
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• 1993

A key element of a successful search and rescue is the correct prediction of the target location. In this paper, new computer models for drift prediction are suggested from the analysis of several methods currently used in other countries. Depending on the availability of the environmental data, users may select a model between the modified versions of U.S. Coast Guard CASP and FLENUMWEACEN SAR. Targets include boats, life rafts and person in water. Life rafts and boats are further classifed. New models are tested and compared with the limited number of field experimental results.

• 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.

• Journal of Korea Ship Safrty Technology Authority
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• s.24
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• pp.57-73
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• 2008

The United Kingdom proposed the development of the strategic vision for e-Navigation at MSC 81 held in 2006. As the development is under way, the concept has not been specified yet. Moreover, It has not come to agreement what information is important and treated in priority for e-Navigation. Korea has been studying it in the various points of view, but no achievement until now. This study looks into the development methods for e-Navigation in Korea through examining international movement and industrial situation as to e-Navigation.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.10a
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• pp.104-106
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• 2015

최근 인간의 개입을 최소화하면서 임무를 수행할 수 있는 무인항공기에 대한 활용도가 높아지는 가운데 무인선(Uamanned Maritime Vessel) 운용에 대한 관심도 높아지고 있다. 국내에서 무인선(Uamanned Maritime Vessel) 관련 프로젝트는 오염 방제 지원, 불법조업 감시, 조난자 수색 구조 등의 감시 및 구난 방제 지원 임무와 수로조사, 해양 기상 모니터링, 적조 감시 등 해양 조사 등을 목적으로 무인선(Uamanned Maritime Vessel)을 개발하는 중이다. 무인선은 관제센터(Maritime Control Station) 또는 모선을 통하여 원격 통제로 임무를 수행하게 되며, 이를 위하여 다양한 정보가 무선통신을 통하여 유인선-무인선, 무인선-무인선, 무인선-관제센터 간에 실시간으로 제공될 것으로 예상되어진다. 본 연구에서는 ITU-R Study Group Woking Party 5B를 분석한 후, 국내 개발 예정인 무인선(Uamanned Maritime Vessel) 운용을 위하여 요구되는 통신 서비스를 구분하여 정의 및 분류하고, 이를 바탕으로 데이터 전송속도, 트래픽 이용시간, 교통량을 바탕으로 필요한 주파수 산정을 위한 기초자료를 제공하는데 목적이 있다.

• Food Science and Preservation
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• v.13 no.5
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• pp.596-602
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• 2006

This study was conducted to investigate the changes of major components and bioactivities of tea produce. The tea produce were made by various methods, with different degree of fermentation during manufacturing process. Except green tea, degrees of fermentation in Wizo Tea, Ilsoae Tea, and Hwang Tea were $5{\sim}10%,\;50{\sim}60%$ and $70{\sim}80%$ respectively. The result are as follows : The general component(moisture, crude ash, crude lipid, and crude protein) and the content of total polyphenol in tea products were not shown significant difference during the fermentation process. The content of caffeine in tea extracts decreased sharply as degree of fermentation of tea. In comparison of hunter values in tea extract, lightness was decreased as fermentation redness (a) was all (-), and yellowness(b) was increased sharpy with degree of fermentation. Radical scavenging activity using DPPH of tow kinds of tea was potent and decreased generally with degree of feimentation. Inhibitory effects of tea extracts against angiotensin I converting enzyme were also potent.