• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.11a
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• pp.59-60
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• 2023

현재 우리나라는 연안수역에 급증하는 해양시설물 설치사업에 따라 해상교통로를 보존하고 연안수역 해상교통망 수역을 기존에 구축된 지리정보 시스템(GIS)와 연계할 수 있는 방법을 연구중에 있다. 이에 따라 Postgres SQL 기반의 PostGIS를 활용하여 해상교통 밀집분석을 시공간 형태로 구축 하였으며 표출 방법에 따라 최적의 해상교통로를 선정하고자 한다. 표출 방법은 등도수 분할을 활용하여 10개의 등급으로 구분한 후 상위 1개 등급을 우선적으로 선정하였으며, 이를 기반으로 GIS에서 제공하는 다양한 알고리즘을 활용하여 좌표로 구축하고자 하였다. 수많은 격자 데이터와 벡터형태로 저장된 해상교통밀집 분석 결과는 폴리곤 결합, 폴리곤 부분 제거, 폴리곤 스무싱, 폴리곤 단순화를 활용하여 해상교통망을 구축하였다.

• Journal of Ocean Engineering and Technology
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• v.27 no.1
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• pp.9-15
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• 2013

This paper calculates the mating dynamic forces of a semi-submersible offshore structure's topside module, where a hull moored in the sea is combined with a topside module carried by a heavy lift vessel, as a mating installation method. The environmental conditions include various wave directions and wave heights, with constant wind and current speeds. Appropriate ballast and de-ballast plans for the heavy lift vessel and hull of the semi-rig should be performed in order to safely obtain these forces, whereas a fixed platform or the GBS (Gravity based structure) type of offshore structure only needs a ballast plan for the heavy lift vessel. From this paper, the allowable wave height or wave direction for the mating procedure can be investigated based on the standard DAF (Dynamic amplitude factor) of the rules and regulations.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.11a
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• pp.31-33
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• 2022

등부표는 소형 어선을 포함한 선박의 항로표지에 중요한 역할을 한다. 그러나 야간에 어두워지면 해상에 설치된 등부표의 위치나 번호판 식별이 어려워 소형 어선이나 선박이 등부표에 가까이 접근하는 경우 등부표를 미처 발견하지 못하고 충돌하여 선박이 파손되거나 인명사고가 발생한다. 이 연구에서는 소형 어선이나 선박이 야간에도 등부표의 위치와 번호판을 쉽게 식별할 수 있도록 등부표에 조명장치를 구비하여 충돌사고의 예방과 항로표지서비스를 향상시키는 방법을 분석하고 고안하여 태양광전원을 이용한 방수형 LED조명과 통신모듈IoT를 결합하여 원격디밍 RGB제어 및 조명자가진단기능을 갖추어 야간에 시인성을 높이는 등부표의 윤곽표시조명을 개발하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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• pp.1318-1321
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• 2012

교실 현대화 또는 교과교실 지원 사업에 의하여 현재 대부분의 학교는 2D 형 LCD 타입의 전자칠판을 설치하여 운용하고 있으며, 현재는 3D 전자칠판의 도입이 활성화되고 있는 시기이다. 본 연구는 상호응답형 3D 전자칠판에 대한 연구이다. 상호응답형 3D 전자칠판의 구성은 영상을 제어를 위한 AD보드, 3D 변환을 위한 3D변환 포맷터, 해상도 제어를 위한 FRC보드로 결합되며, 상호응답형 전자칠판을 구현하기위해 {x,y,z} 좌표 축출을 위한 전자팬 및 양안 카메라 기술을 적용했다. 또한 실시간 3D 판서 운용을 위한 3D 판서소프트웨어에 대한 구현 방법과 운용 구성에 대하여 연구했다.

• Journal of the Korean Institute of Gas
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• v.19 no.2
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• pp.74-82
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• 2015

Carbon dioxide was designated as one of greenhouse gases that cause global warming. Among various ways to solve the $CO_2$ emission issue, the 3rd-generation biomass (algae) production is considered as a viable method to reduce $CO_2$ in the atmosphere. In this research, we propose a design of an innovative sustainable production system by utilizing the 3rd generation biomass in the environment of floating production storage and offloading (FPSO). Existing biomass production systems depend on the solar energy and they cannot continue producing biomass at night. Electricity produced from offshore wind farms also need an efficient way to store the energy through energy storage system (ESS) or deliver it real-time through power grid, both requiring heavy investment of capital. Thus, we design an offshore grid structure harnessing LED lights to supply the necessary light energy, by using the electricity produced from the wind farm, resulting in the maximized production of biomass and efficient use of wind farm energy. The final design integrates the biomass production system enhanced by LED lights with a wind power generation. The suggested NLP model for the optimal design, implemented in GAMS, would be useful for designing improved offshore biomass production systems combined with the wind farm.

• Korean Journal of Agricultural and Forest Meteorology
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• v.23 no.4
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• pp.251-267
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• 2021

Remotely sensed vegetation indices (VIs) are empirically related with gross primary productivity (GPP) in various spatio-temporal scales. The uncertainties in GPP-VI relationship increase with temporal resolution. Uncertainty also exists in the eddy covariance (EC)-based estimation of GPP, arising from the partitioning of the measured net ecosystem CO2 exchange (NEE) into GPP and ecosystem respiration (RE). For two forests and two agricultural sites, we correlated the EC-derived GPP in various time scales with three different near-surface remotely sensed VIs: (1) normalized difference vegetation index (NDVI), (2) enhanced vegetation index (EVI), and (3) near infrared reflectance from vegetation (NIRv) along with NIRvP (i.e., NIRv multiplied by photosynthetically active radiation, PAR). Among the compared VIs, NIRvP showed highest correlation with half-hourly and monthly GPP at all sites. The NIRvP was used to test the reliability of GPP derived by two different NEE partitioning methods: (1) original KoFlux methods (GPP_Ori) and (2) machine-learning based method (GPP_ANN). GPP_ANN showed higher correlation with NIRvP at half-hourly time scale, but there was no difference at daily time scale. The NIRvP-GPP correlation was lower under clear sky conditions due to co-limitation of GPP by other environmental conditions such as air temperature, vapor pressure deficit and soil moisture. However, under cloudy conditions when photosynthesis is mainly limited by radiation, the use of NIRvP was more promising to test the credibility of NEE partitioning methods. Despite the necessity of further analyses, the results suggest that NIRvP can be used as the proxy of GPP at high temporal-scale. However, for the VIs-based GPP estimation with high temporal resolution to be meaningful, complex systems-based analysis methods (related to systems thinking and self-organization that goes beyond the empirical VIs-GPP relationship) should be developed.