• 한국해양환경ㆍ에너지학회지
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• 제19권3호
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• pp.227-235
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• 2016

최근 해양에서 이루어지고 있는 해역이용 개발 현황 분석을 통해 입지의 적정성과 환경영향 측면에서 상충될 수 있는 대표적인 개발사례를 진단하여 해양공간계획수립의 필요성에 대한 시사점을 제공하였다. 해양 신재생에너지개발(조력 및 해상풍력), 바다골재채취, 공유수면매립, 연안골프장 조성, 온배수 및 고염수 배출, 침식영향 개발사업 등의 주요 사례 분석결과, 해당 공간이용 및 관리방향 간의 상충성이 빈발하고, 누적환경영향에 따른 해양환경과 생태계 훼손, 어장이용과 이행당사자사이의 갈등이 지속적으로 나타나고 있는 상황이다. 이러한 이유는 개발 입지 및 주변 공간영역에 대한 충분한 현황 파악이 부족하고, 공간이용과 관련된 개별법의 상호성 및 연계성 평가가 미흡한 것과 관련되어 있다. 사전예방적인 해양환경관리 정책을 강화하기 위해서는 입지 적정성과 개발규모에 대한 평가 검토를 강화해야 할 것이다. 특히, 전략환경영향평가 등 상위계획 심의단계에서 입지와 규모의 적정성에 대한 평가 시, 해양공간이용 현황, 상위계획과 지역계획간의 연계성(특히, 연안관리지역계획과 통합계획), 해양수산규제지역과 보호대상 해양생물 분포 등 핵심 평가사항을 제시하도록 하여 보다 철저한 진단이 이루어져야 할 것이다. 지속가능한 보전과 개발의 조화를 위해서는 TOP-DOWN 방식의 해양공간계획 전략(연안과 EEZ, 광역과 협역 해역 등 전체적 Zoning과 Sector 연계성을 강화, 3차원 정보 포함 등)을 마련해야 하고, 이 과정에서 체계적이고 최신의 해양공간정보 속성자료 파악 및 공유를 위한 통합 정보시스템 구축이 필요할 것으로 판단된다. 해양수산과 관련된 전 부문, 즉, 항만 어항, 수산, 연안관리, 해양환경과 생태계 분야에서 해양공간이용의 상호적이고 일관성있는 전략이 필요할 것이다.

• 한국어병학회지
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• 제28권2호
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• pp.99-107
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• 2015

Despite its economic importance as an aquaculture species, the molecular and genetic information regarding physiologically important elements in rock bream (Oplegnathus fasciatus) is not completely understood. Rab proteins play a vital role in cellular mechanisms and immunity as one of the key regulators of membrane trafficking. In this investigation, a Rab gene, named as RbRab-5C-like, was identified from Oplegnathus fasciatus. RbRab-5C-like protein exhibited high homology with Rab proteins of other species and possessed signature characteristics of Rab proteins with four conserved cysteine residues. Phylogenetic analysis showed that RbRab-5C-like clustered with other fish counterparts. The RbRab-5C-like genomic sequence possesses six exons and five introns. Transcriptional analysis revealed that RbRab-5C-like was ubiquitously expressed in all examined tissues with the highest expression occurring in the liver. While the structural and homologic characteristics of RbRab-5C-like suggest a strong conservation of this element in different species, its mRNA distribution implies a wide range of biological significance in rock bream.

• Ocean and Polar Research
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• 제40권3호
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• pp.177-190
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• 2018

This study seeks to analyze trends in Korean government support for marine biotechnology R&D investment. The quantitative analysis proposed in this paper provides useful data to inform government policy making decisions in relation to R&D investment in the marine biotechnology. Data used in this study is from NTIS (National Science & Technology Information Service) DB. Empirical results indicate that national R&D investment in the area of marine biotechnology has recently been increased in terms of the number of R&D programs and the amount of R&D investment. The results also show that the R&D programs in the area of marine biotechnology involve various Ministries of the government of Korea, although the Ministry of Oceans and Fisheries (MOF) performed a key role in the R&D investment in the marine biotechnology. Finally, the results of social network analysis in this study reveals that most of the R&D programs in the area of marine biotechnology seeks the development of new materials using unique features of marine bioresources.

• 한국항해항만학회지
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• 제35권9호
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• pp.735-740
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• 2011

It is necessary to develop the one stop system in order to protect our marine environment rapidly from oil spill accident. The purpose of this study is to develop real time database for oil spill prediction modeling and implement real time prediction modelling with ESI and server-client GIS based user interface. The existing oil spill prediction model cannot provide one stop information system for public and government who should protect sea from oil spill accident. The development of multi user based information system permits integrated handling of real time meteorological data from external ftp. A server-client GIS based model is integrated on the basis of real time database and ESI map to provide the result of the oil spill prediction model. End users can access through the client interface and request analysis such as oil spill prediction and GIS functions on the network as their own purpose.

• Journal of electromagnetic engineering and science
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• 제13권3호
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• pp.151-157
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• 2013

Marine radars are affected by sea and rain clutters, which can make target discrimination difficult. The clutter standard deviation and improvement factor are applied using multiple parameters-moving speed of radar, antenna speed, angle, etc. When a radar signal is processed, a Data Matrix Bank (DMB) filter can be applied to remove sea clutters. This filter allows detection of a target, and since it is not affected by changes in adjacent clutters resulting from a multi- target signal, sea state clutters can be removed. In this paper, we study the level for clutter removal and the method for target detection. In addition, we design a signal processing algorithm for marine radars, analyze the performance of the DMB filter algorithm, and provide a DMB filter algorithm design. We also perform a DMB filter algorithm analysis and simulation, and then apply this to the DMB filter and cell-average constant false alarm rate design to show comparative results.

• Journal of Advanced Marine Engineering and Technology
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• 제28권2호
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• pp.269-276
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• 2004

A marine diesel engine should realize optimal efficiency operation while reducing NOx. Fuel injection systems by electronic control can become effective means for that. Although it would be able to get more precise engine control compared to the mechanical injection system, it needs some accurate and instant information in order to bring its ability into full play while sailing on the sea. Very important information of them is shaft torque and continuous combustion pressure of all cylinders. The system presented in this report can deliver those data.

• Journal of the Korean Data and Information Science Society
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• 제17권1호
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• pp.63-76
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• 2006

Marine production forecasting in fisheries is a crucial factor for managing and maintaining fishery resources. Thus this paper aims to generate a forecasting model of total marine production. The most generally method of time series model is to generate the most optimal single forecasting model. But the method could induce a different forecasting results when it does not properly infer a model To overcome the defect, I am trying to propose a single forecasting through multiple time series model. In other word, by comparing and integrating the output resulted from ARIMA and VAR model (which are typical method in a forecasting methodology), I tried to draw a forecasting. It is expected to produce more stable and delicate forecasting prospect than a single model. Through this, I generated 3 models on a yearly and monthly data basis and then here I present a forecasting from 2006 to 2010 through comparing and integrating 3 models. In conclusion, marine production is expected to show a decreasing tendency for the coming years.

• 한국항해항만학회지
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• 제46권5호
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• pp.392-399
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• 2022

With digitalization accelerated by the 4th industrial revolution, the marine traffic environment is also expected to change rapidly. The purpose of this study was to derive a new service for Aids to Navigation (AtoN) to respond to a new marine traffic environment and suggest service requirements from the perspective of the ship's operator. For this purpose, a survey of ship operators was conducted and IPA analysis was performed. Marine traffic intelligence and information services and Image-based ocean environment information services were deduced as high-priority services from the perspective of ship operators. Thus, the derived results can serve as basic data for developing new AtoN services and determining policy directions.

• 한국지능시스템학회논문지
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• 제21권2호
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• pp.198-205
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• 2011

선박의 항해사가 안전 항해를 위해 GPS, ARPA, AIS, NAVTEX, VHF 등 다수의 항해장비가 제공하는 화상, 수치, 텍스트 및 음성 정보를 숙지하여야 하나, 항해당직에 임하면서 동시에 이들 정보를 획득하여 안전 항해를 위한 판단자료로 활용하는 것은 대단히 번거롭고 어려운 작업이다. 따라서 이들 멀티미디어 항해안전정보를 이해하고 융합하여 항해사가 처한 상황을 인식하고 항해사의 의사결정에 필요한 정보를 추론하여 언어로서 제공해주는 시스템이 필요하다. 본 연구에서는 멀티미디어 항해안전정보를 이해하고 융합하여 언어로 제공하는데 필요한 의미해석 모델을 Semantic Network를 이용하여 구축하고자 한다.

• International Journal of Internet, Broadcasting and Communication
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• 제14권1호
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• pp.122-128
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• 2022

Minimization of human casualties in disaster situations is of paramount importance. In particular, if a marine disaster occurs, it can be directly connected to human casualties, so prompt action is needed. In the event of a marine disaster, the route and location of movement should be identified and life tubes should be used to float on the water. This paper designs and proposes an emergency IoT notification system that can quickly rescue drowning people. The maritime emergency IoT notification system consists of four main types. First, an emergency IoT device that detects the expansion of the life tube and delivers location and situation information to the emergency IoT notification server. Second, an emergency IoT web server that manages emergency information and provides notification. Third, a database server that stores and manages emergency IoT notification information. And finally, an emergency notification app that can receive and respond to emergency notification information. The emergency IoT device consists of a TPMS(Tube Pressure Monitoring System) device that checks the pressure value of the TPMS in real time and sends it to the IoT device, and an IoT device that sends the rescuer's voice information and emergency information to the emergency IoT server. Emergency information is delivered using the MQTT(Message Queuing Telemetry Transport) protocol, and voice information is delivered to the IoT server as HTTP FormData.