• 한국지구물리탐사학회:학술대회논문집
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• 한국지구물리탐사학회 2007년도 공동학술대회 논문집
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• pp.257-260
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• 2007

Two-dimensional (2D) interpretation of MT and AMT data observed in 2004 in Jeju Island is made using two inversion schemes developed by Uchida (1993) and Lee et al. (2002). These interpretations show that the subsurface of Jeju consists of roughly three layers. Reconstructed images along lines E and W reveal that the conductive layer beneath the topmost resistive layer of lava plateau can be a sediment layer. The geoelectrical structure along line E is more complex than that along line W, especially near Mt. Halla. The Uchida’s (1993) scheme gives reasonable images, but much more time-consuming than that of Lee et al. (2002).

• 한국습지학회지
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• 제22권4호
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• pp.245-256
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• 2020

본 연구의 목적은 우리나라 환경산업 해외시장 진출 전략 수립을 위하여 선진국과의 환경산업 기술경쟁력을 평가하고자 하였다. 환경산업 기술경쟁력을 평가하기 위하여 국내·외 환경산업기술 분류체계를 바탕으로 환경산업 분야별 중점 기술을 분류하고, 기술경쟁력 평가지표를 구축하였다. 평가지표 자료 구축을 수행한 후 델파이 분석 및 논문·특허 분석, 수출·입 분석을 수행하였으며, 지표값에 대한 표준화 분석을 수행하였다. 또한, AHP(Analytic Hierarchy Process) 기법을 통해 평가지표별 가중치를 산정하여 한국, 미국, 영국, 독일, 프랑스의 환경산업기술 경쟁력 평가 결과를 도출하였다. 평가 결과, 모든 환경산업 분야에서 미국이 상대적으로 기술경쟁력이 가장 높은 것으로 평가되었으며, 한국은 선진국에 비해 상대적으로 가장 낮은 경쟁력을 가지고 있는 것으로 평가되었다. 특히, 한국은 다매체 환경관리 및 지속가능 사회시스템 구축분야가 선진국에 비해 기술경쟁력 수준이 가장 낮은 것으로 나타났다. 따라서 국내 환경산업기술이 글로벌 선진시장에 진출하기 위해서는 국내 강점인 사물인터넷, 클라우드, 빅데이터, 모바일, 인공지능 기반의 4차 환경산업 개발을 통해 경쟁력을 강화해야 할 것으로 판단된다.

• 지구물리와물리탐사
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• 제23권3호
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• pp.141-148
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• 2020

한국지질자원연구원에서 구축하고 있는 드론 플랫폼을 소개하였다. 구축중인 플랫폼은 사진측량, 원격탐사, 물리탐사 등을 위한 다양한 드론 시스템과 현장에서 각 시스템을 운용하기 위한 방안과 차량형 드론관제센터, 그리고 취득한 자료의 저장, 공유, 분석, 시각화 등을 위한 드론 데이터 플랫폼 등으로 구성된다. 구축한 드론 시스템의 개별적 적용 또는 복합적 적용을 통해 획득한 결과들로부터 그 성능을 검증하였으며 지질조사 및 광물자원탐사를 위한 KIGAM 드론 플랫폼의 활용 가능성에 대해 고찰하였다.

• 식물병연구
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• 제14권3호
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• pp.229-232
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• 2008

모자이크 증상의 과꽃(Callistephus chinensis L.)으로부터 Cucumber mosaic virus (CMV)의 한 계통(Cas-CMV)를 분리하고, Fny-CMV와 As-CMV를 대조로 기주반응, dsRNA, RT-PCR 및 RFLP분석을 통하여 바이러스를 동정하였다. Cas-CMV의 특징적인 기주반응의 차이는 박과 식물에서 발현되는 강한 병정이었으며, 특히 쥬키니호박에 접종하였을 때에는 접종 15-20일 후에 심한 모자이크 증상과 함께 어린 식물이 고사되는 괴저현상을 나타냈다. DsRNA분석과 RT-PCR실험의 결과는 Cas-CMV가 서브그룹 I의 CMV에 속하는 것으로 나타났으며, 더욱이 HindIII를 이용한 RFLP 분석은 Cas-CMV가 서브그룹 IA 구분되었다.

• 자원환경지질
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• 제11권3호
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• pp.99-108
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• 1978

The Gum-Ho river basin is one of the densely populated area having more than 35% of the total population and it was also well irrigated since earlier days in the Nackdong river basin. Most of the easily developed source of surface water are fully utilized, and at this moment the basin is at the stage that no more :surface water can be made available under the present rapid development of economic condition. Since surface water supplies from the basin have become more difficult to obtain, the ground water resources must be thoroughly investigated and utilized greatly hereafter. In economic ground of the basin what part could ground water play? In what quantities and, for what uses could it be put? The answer to these questions can be relatively simple;the ground water resources in the basin can be put at almost any desired use and almost anywhere in the basin The area of the basin is at about $2088km^2$ in the middle part of Nackdong river basin and it is located along the Seoul-Pusan express highway. The mean annual rainfall is about 974.7mm, most of which falls from June to September during the monsoon. Accumulated is appeared approximately after every 8 year's accumlated dry period with the duration of 5 years. The water bearing formation in the basin include unconsolidated alluvial deposits in Age of Quaternary, saprolite derived from weathered crystalline rocks, Gyongsang sedimentary formations of the period from late Jurassic to Cretaceouse, and igneouse rocks ranging of the Age from Mesozoic to Cenozoic. The most productive ground water reservoir in the basin is calcareous shale and sandstones of Gyongsang system, which occupies about 66% of the total area. The results of aquifer test on Gyongsang sedimentary formation show that average pumping capacity of a well drilled into the formation with drilling diameter and average depth of $8{\frac{1}{2}}$ inch and 136m is $738m^3/day$ and also average specific capacity of those well is estimated $77.8m^3/D/M$. Total amount of the ground water reserved in the basin is approximately estimated at 37 billion metric tons, being equivalent 18 years total precipitations, among which 7 billion metric tons of portable ground water can be easily utilized in depth of 200 meters.

• 에너지공학
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• 제26권4호
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• pp.14-22
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• 2017

한국뿐만 아니라 전 세계적으로 커피의 소비는 증가하고 있다. 그에 따라 발생하는 커피부산물 또한 증가하고 있지만 이를 처리하기 위한 방안이나 기술은 현재 부족한 상태에 있으며, 부산물에 의한 환경문제 또한 그 문제점이 대두되고 있다. 이러한 환경문제를 해결하기 위해서 최근 커피부산물을 활용하기 위한 친환경적인 방법과 재활용을 목적으로 한 다양한 연구가 진행되고 있으며, 커피부산물 또한 저렴한 친환경 소재가 될 수 있어 최근까지 연구가 활발히 진행되고 있다. 본 논문에서는 커피 부산물의 종류와 특성을 이해하고, 현재까지 연구되어 온 커피부산물을 활용할 수 있는 방법에 대한 동향을 분석하였으며, 한국 내 서울시의 커피찌꺼기 현황을 파악 하고 현재 진행되고 있는 서울시의 커피찌꺼기 처리 방안에 대해 논의 하였다.

• 한국환경과학회지
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• 제23권4호
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• pp.625-635
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• 2014

Temporal variation of groundwater levels in Jeju Island reveals time-delaying and dispersive process of recharge, mainly caused by the hydrogeological feature that thickness of the unsaturated zone is highly variable. Most groundwater flow models have limitations on delineating temporal variation of recharge, although it is a major component of the groundwater flow system. A new mathematical model was developed to generate time series of recharge from precipitation data. The model uses a convolution technique to simulate the time-delaying and dispersive process of recharge. The vertical velocity and the dispersivity are two parameters determining the time series of recharge for a given thickness of the unsaturated zone. The model determines two parameters by correlating the generated recharge time series with measured groundwater levels. The model was applied to observation wells of Jeju Island, and revealed distinctive variations of recharge depending on location of wells. The suggested model demonstrated capability of the convolution method in dealing with recharge undergoing the time-delaying and dispersive process. Therefore, it can be used in many groundwater flow models for generating a time series of recharge.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2021년도 학술발표회
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• pp.144-144
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• 2021

The rapid urbanization in many Asian countries has taken millions of people from the rural countryside to concentrated megacities, which eventually putting pressure on the existing water resources. The over-growing population and increasing living standard of people in the urban region of developed as well as developing countries such as Korea, China, Japan and India have witnessed a drastic change in terms of domestic water demand for the past few decades. In this study, we used the concept of potential surface water availability in the form of surface runoff for future vulnerability assessment. We focused on 42 megacities having population more than 5 million as per the United Nations (UN) census data 2020. The study shows that 30 out of 42 cities having more than 180L/p/d demand for domestic use based on various references. We have predicted the domestic water demand for all the cities on the basis of current per capita demand up to 2035 using UN projected population data. We found that the projected water demand in megacities such as Seoul, Busan, Shanghai, Ghuanzou are increasing because of high population as well as GDP growth rate. On the contrary, megacities of Japan considered in our stud shows less water demand in future due to decreasing trend of population. As per the past records provided by the local municipalities/authorities, we projected different scenarios based on the future supply for various megacities such as Chennai, Delhi, Karachi, Mumbai, Shanghai, Wuhan, etc. We found that the supply to demand ratio of these cities would be below 75% for future period and if such trend continues then the inhabitants will face serious water stress conditions. Outcomes of this study would help the local policy makers to adopt sustainable initiatives on urban water governance to avoid the severe water stress conditions in the vulnerable megacities.

• International Journal of Automotive Technology
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• 제6권4호
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• pp.333-340
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• 2005

In order to better quantify the contribution from nonroad sources to emission inventories, it is important to understand not only the emissions rates of these engines but also activity patterns that can be used to accurately portray their in-use operation. To date, however, very little information is available on the actual activity patterns of nonroad equipment. In this study, a total of 18 pieces of nonroad equipment were instrumented with collected data including intake manifold air pressure (MAP), exhaust temperature and, on a subset of vehicles, engine rpm and throttle position. The equipment included backhoes, compactors, dozers, motor graders, loaders and scrappers used in applications such as landfilling, street maintenance and general roadwork. The activity patterns varied considerably depending on the type of equipment and the application. Daily equipment operating time ranged from less than 30 minutes to more than 8 hours, with landfill equipment having the highest daily use. The number of engine starts per day ranged from 3-11 lover the fleet with an average of 5 starts per day. The average percent idle time for the fleet was approximately $25\%$ with a range from 11 to $65\%$ for individual pieces of equipment. Duty cycles based on exhaust temperature/throttle position profiles were also developed for two graders and one dozer.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권8호
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• pp.2821-2839
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• 2015

Energy consumption by large computing systems has become an important research theme not only because the sources of energy are depleting fast but also due to the environmental concern. Computational grid is a huge distributed computing platform for the applications that require high end computing resources and consume enormous energy to facilitate execution of jobs. The organizations which are offering services for high end computation, are more cautious about energy consumption and taking utmost steps for saving energy. Therefore, this paper proposes a scheduling technique for Minimizing Energy consumption using Adapted Genetic Algorithm (MiE-AGA) for dependent tasks in Computational Grid (CG). In MiE-AGA, fitness function formulation for energy consumption has been mathematically formulated. An adapted genetic algorithm has been developed for minimizing energy consumption with appropriate modifications in each components of original genetic algorithm such as representation of chromosome, crossover, mutation and inversion operations. Pseudo code for MiE-AGA and its components has been developed with appropriate examples. MiE-AGA is simulated using Java based programs integrated with GridSim. Analysis of simulation results in terms of energy consumption, makespan and average utilization of resources clearly reveals that MiE-AGA effectively optimizes energy, makespan and average utilization of resources in CG. Comparative analysis of the optimization performance between MiE-AGA and the state-of-the-arts algorithms: EAMM, HEFT, Min-Min and Max-Min shows the effectiveness of the model.