• Journal of Energy Engineering
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• v.25 no.3
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• pp.136-148
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• 2016

We analyze economic effects of GHG reduction measures of the generation industry to meet 2030 GHG reduction target using the scenario based approach. We estimate the GHG emission of the Korean power industry in 2030 based on both the $7^{th}$ Electricity Supply & Demand Plan and the GHG emission coefficients issued by IAEA. We set up three scenarios for reduction measures by replacing the coal fired plants with nuclear power, renewable energy and carbon capture and storage. Once and for all, the nuclear power scenario dominates the other energy technologies in terms of GHG reduction quantities and economic effects.

• Journal of Astronomy and Space Sciences
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• v.34 no.4
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• pp.289-302
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• 2017

The key risk analysis technologies for the re-entry of space objects into Earth's atmosphere are divided into four categories: cataloguing and databases of the re-entry of space objects, lifetime and re-entry trajectory predictions, break-up models after re-entry and multiple debris distribution predictions, and ground impact probability models. In this study, we focused on reentry prediction, including orbital lifetime assessments, for space situational awareness systems. Re-entry predictions are very difficult and are affected by various sources of uncertainty. In particular, during uncontrolled re-entry, large spacecraft may break into several pieces of debris, and the surviving fragments can be a significant hazard for persons and properties on the ground. In recent years, specific methods and procedures have been developed to provide clear information for predicting and analyzing the re-entry of space objects and for ground-risk assessments. Representative tools include object reentry survival analysis tool (ORSAT) and debris assessment software (DAS) developed by National Aeronautics and Space Administration (NASA), spacecraft atmospheric re-entry and aerothermal break-up (SCARAB) and debris risk assessment and mitigation analysis (DRAMA) developed by European Space Agency (ESA), and semi-analytic tool for end of life analysis (STELA) developed by Centre National d'Etudes Spatiales (CNES). In this study, various surveys of existing re-entry space objects are reviewed, and an efficient re-entry prediction technique is suggested based on STELA, the life-cycle analysis tool for satellites, and DRAMA, a re-entry analysis tool. To verify the proposed method, the re-entry of the Tiangong-1 Space Lab, which is expected to re-enter Earth's atmosphere shortly, was simulated. Eventually, these results will provide a basis for space situational awareness risk analyses of the re-entry of space objects.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• v.1
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• pp.127-132
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• 2006

The Global Positioning System (GPS), Inertial Navigation System (INS) and Pseudolite (PL) technologies all play very important roles in navigation systems. As an independent navigation system, GPS can provide high precision positioning results which are independent of time. However, the performance will become unreliable when the system experiences high dynamics, or when the receiver is exposed to jamming or RF interference. In comparison to GPS, though INS is autonomous and provides good short-term accuracy, its use as a standalone navigation system is limited due to the time-dependent growth of the inertial sensor errors. PLs are ground-based transmitters that can transmit GPS-like signals. They have some advantages in that their positions can be determined precisely, and the Signal-to-Noise Ratios (SNR) are relatively high. Because their combined performance, in principle, overcomes the shortcomings of the individual systems, the integration of GPS, INS and PL is increasingly receiving attention from researchers. Depending on the desired performance vs complexity, system integration can be carried out at different levels, namely loose, tight and ultra-tight coupling. Compared with loose and tight integration, although it is more complex in terms of system design, ultra-tight integration will be the basis of the next generation of reliable and robust navigation systems. Its main advantages include improved performance under exposure to high dynamics, and jamming and RF interference mitigation. This paper presents an overview of the ultra-tight integration developments and discusses some of the challenging issues.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.05a
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• pp.57-58
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• 2018

As interest in the Internet of Things increases, technologies are being studied to handle information exchanged between things using the Internet of Things. Specially, as container terminals are automated, the use of the Internet of Things in the terminals increases and varies. However, the use of the Internet of Things to enhance the efficiency of the container terminal operation is insufficient. Currently, the container terminal shows that the arrival pattern of the external truck is concentrated at a particular time. This resuls in gate congestion and affects the waiting times of the truck. The damage is caused by environmental pollution problems and social problems in neighboring port areas. Therefore, in this thesis, we will analyze the causes of the external truck's waiting time problems affecting the gate congestion at container terminals and study methods to mitigate congestion under Internet of Things environment.

• Journal of Advanced Navigation Technology
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• v.14 no.6
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• pp.808-816
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• 2010

Spectrum sharing between wireless systems becomes a critical issue due to emerging new technologies and spectrum shortage. Since WRC-07 allocated 3400-3600MHz band for the coming fourth generation (4G) or IMT-Advanced on a co-primary basis along with existing Fixed Wireless Access (FWA), it requires spectrum sharing studies to solve the interference problems between two systems. In this paper, I propose the separation distance between service coverages as a sharing fundamental criterion based on the interference to noise power ratio (I/N) received in a FWA base station from several IMT-Advanced base stations on the cellular systems. Especially, some results imply that I/N values compared to the worst case can be greatly reduced with MIMO SDMA interference mitigation technique of IMT-Advanced base stations so that these two systems can co-exist in the same frequency with appropriate separation distance.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.405-409
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• 2018

최근 기후변화로 인해 기온, 강수량 등 농업에 직접적인 영향을 주는 환경요인의 변화가 급격하게 진행되고 있으며, 식량농업기구 (Food and Agriculture Organization of the United Nations, FAO)는 기후변화로 인해 전 세계적인 식량위기가 발생할 가능성이 크다고 경고하고 있다. 농업 시스템의 생산 능력을 확보하기 위해 수자원의 효율적인 공급 및 분배, 수확량 예측, 토지 특성 파악 등 농업 생산 제한요소에 대한 빠른 정보수집이 요구되고 있다. 재해관리 분야에서 원격탐사 기술은 재해 발생을 인지하고 발생지역의 재해 진행과 피해 정도를 신속하게 제공할 수 있다는 점에서 효용성이 높다. 또한 위성 영상을 이용할 경우 접근이 용이하지 못한 지역의 조사가 수월하며, 장기적인 변화관측이나 환경감시 등 광역적 접근이 가능하다. 최근 위성영상을 통한 다양한 신호의 데이터 취득 및 가공이 가능하게 됨에 따라 주기적이고 동일한 정확도로 지상자료의 획득이 가능하다는 측면에서 인공위성을 활용한 농업 분야에서의 가뭄 분석 연구의 필요성이 대두되었다. 위성영상 신호를 통해 농업 가뭄에 활용되고 있는 지표로는 정규식생지수 (Normalized Difference Vegetation Index, NDVI) 및 식생상태지수 (Vegetation Condition Index, VCI), 식생가뭄반응지수(Vegetation Drought Response Index, VegDRI) 등이 있다. 잠재 증발산과 실제 증발산의 비를 이용한 위성영상기반의 가뭄지수인 Evaporative Stress Index (ESI)는 일반적으로 사용되는 가뭄지수인 표준강수지수(Standardized Precipitation Index, SPI), 파머가뭄심도지수 (Palmer Drought Severity Index, PDSI) 등과 비교하였을 때, 가뭄에 더 민감하고 빠른 반응을 보인다는 연구 결과로부터 짧은 기간의 급속하게 발생하는(rapid-onset) Flash drought의 가뭄판단지표로 활용되고 있다. 본 연구에서는 과거 우리나라에 발생했던 극심한 가뭄 사상을 대상으로 ESI의 가뭄분석을 통해 타 지표와의 차별성을 확인하고 농업 가뭄 모니터링의 새로운 지표로써 적용성을 검토하고자 한다.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.382-382
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• 2017

최근 전 세계적으로 가뭄 재해가 증가함에 따라 국내의 경우 가뭄상황을 모니터링하기 위하여 다양한 유관 기간에서 가뭄정보시스템을 활용하여 가뭄지수를 공간지도 형태로 제공하고 있다. 기상청 수자원공사 농어촌공사 등에서 기상/수문/농업관련 가뭄지수의 위험지도를 실시간으로 제공하고 있으며 각 지표별로 수문기상학적 특징과 용수공급시설 및 수요공급의 이수상황 등을 고려하여 활용하고 있다. 하지만 제공되고 있는 가뭄지수의 공간분포는 지점 자료를 기반으로 내삽기법 (interpolation)을 통해 재 산정된 지도로 공간 해상도 측면에서 조악한 해상도를 갖고 있다. 이와 같은 한계점을 보완하기 위하여 시 공간적으로 특성이 동일한 광범위한 지역에 대한 정보를 주기적으로 제공 가능하다는 측면에서 위성영상자료를 활용한 가뭄모니터링 연구의 필요성이 요구된다. 본 연구에서는 위성영상을 이용한 식생 정보 및 기후 정보 생물물리학적 정보를 활용한 식생가뭄반응지수 (Vegetation Drought Response Index in Korea VegDRI-Korea)를 제시하고 국내의 적용성 검증을 위하여 국내 주요 가뭄 사상을 대상으로 시공간적 가뭄상황을 분석하였다. 식생가뭄반응지수는 유역단위 또는 행정구역 단위별로 실시간 가뭄 상황을 분석할 수 있는 고해상도 위성영상 기반의 가뭄지수로써 향후 한반도 전역의 가뭄모니터링 및 주기적인 모니터링을 통해 가뭄예상지역 판단에 대한 의사결정지원에 활용할 수 있다.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.364-364
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• 2019

최근 전세계적으로 기후변화로 인한 국내외 가뭄에 대한 피해 및 발생 빈도가 점차 증가하고 있으며, 우리나라의 경우 2000년대 이후 가뭄 주기가 점점 짧아져 2013년 이후 매년 가뭄이 발생하고 있다. 북한은 자연재해에 취약한 국가이며 특히 가뭄으로 인한 식량난 문제가 대두되고 있지만, 북한의 제한적인 정보로 인해 북한 지역에서의 가뭄의 발생과 피해 정보는 한정적이고, 활용할 수 있는 자료의 경우 외국 기관의 정보에 의존하는 실정이다. 향후 농업부문에 대한 대북한 지원과 통일 후를 대비한 농업정책의 수립을 위하여 북한의 가뭄에 대하여 독자적으로 신속한 정보를 취득, 분석할 수 있는 능력을 확보하는 것이 필요하다. 위성영상을 이용한 원격탐사 기술은 접근이 용이하지 못한 지역의 주기적인 관측이 가능하며, 동일한 정확도로 기상자료의 획득이 가능하다. Vegetation Drought Response Index (VegDRI)는 위성영상기반의 가뭄지수인 정규식생지수(Nomalized Difference Vegetation Index, NDVI), 기상학적 가뭄지수를 활용한 기후적 요소, 토지피복 및 생태지역 등의 생물물리학적 요소를 활용한 가뭄지표이다. 본 연구에서는 MODerate resolution Imaging Spectroradiometer (MODIS) 위성의 MOD13Q1 영상자료의 NDVI (2001~2018년)를 이용하였으며, 북한의 기상자료를 이용한 표준강수지수 (Standardized Precipitation Index, SPI)와 파머가뭄심도지수 (Palmer Drought Severity Index, PDSI), 그리고 북한 지역의 토지피복 및 생태지역 등의 요소들을 활용한 VegDRI를 통하여 북한의 가뭄 시기에 따른 시도별 가뭄 특성에 대하여 분석하고자 한다.

• Korean Journal of Soil Science and Fertilizer
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• v.44 no.6
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• pp.1286-1294
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• 2011

This paper reviews the future directions and perspectives on the soil environmental researches in the 21 century. Previously, the principal emphasis of soil environmental researches had put on the enhancement of food and fiber productions. Beside the basic function of soil, however, the societal needs on soil resources in the 21st century have demands for several environmental and social challenges, occurring regionally or globally. Typical global issues with which soil science should deal include food security with increasing agronomic production to meet the exploding world population growth, adaptation and mitigation of climate change, increase of the carbon sequestration, supply of the biomass and bioenergy, securing the water resource and quality, protection of environmental pollution, enhancing the biodiversity and ecosystem health, and developing the sustainable farming/cropping system that improve the use efficiency of water and agricultural resources. These challenges can be solved through the sustainable crop production intensification (SCPI) or plant welfare concept in which soil plays a key role in solving the abovementioned global issues. Through implementation of either concept, soil science can fulfill the goal of the modern agriculture which is the sustainable production of crops while maintaining or enhancing the ecosystem function, quality and health. Therefore, directions of the future soil environmental researches should lie on valuing soil as an ecosystem services, translating research across both temporal and spatial scales, sharing and using data already available for other purposes, incorporating existing and new technologies from other disciplines, collaborating across discipline, and translating soil research into information for stakeholders and end users. Through the outcomes of these approaches, soil can enhance the productivity from the same confined land, increase profitability, conserve natural resource, reduce the negative impact on environment, enhance human nutrition and health, and enhance natural capital and the flow of ecosystem services. Soil is the central dogma, final frontier and new engine for the era of sustainability development in the $21^{st}$ century and thus soil environmental researches should be carried according to this main theme.

• Journal of People, Plants, and Environment
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• v.21 no.6
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• pp.445-460
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• 2018

Exposure to indoor air pollution is an emerging world-wide problem, with growing evidence that it is a major cause of morbidity worldwide. Whilst most indoor air pollutants are of outdoor origin, these combine with a range of indoor sourced pollutants that may lead to high pollutant levels indoors. The pollutants of greatest concern are volatile organic compounds (VOCs) and particulate matter (PM), both of which are associated with a range of serious health problems. Whilst current buildings usually use ventilation with outdoor air to remove these pollutants, botanical systems are gaining recognition as an effective alternative. Whilst many years research has shown that traditional potted plants and their substrates are capable of removing VOCs effectively, they are inefficient at removing PM, and are limited in their pollutant removal rates by the need for pollutants to diffuse to the active pollutant removal components of these systems. Active botanical biofiltration, using green wall systems combined with mechanical fans to increase pollutant exposure to the plants and substrate, show greatly increased rates of pollutant removal for both VOCs, PM and also carbon dioxide ($CO_2$). A developing body of research indicates that these systems can outperform existing technologies for indoor air pollutant removal, although further research is required before their use will become widespread. Whilst it is known that plant species selection and substrate characteristics can affect the performance of active botanical systems, optimal characteristics are yet to be identified. Once this research has been completed, it is proposed that active botanical biofiltration will provide a cheap and low energy use alternative to mechanical ventilations systems for the maintenance of indoor environmental quality.