• Proceedings of the Korea Contents Association Conference
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• 2013.05a
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• pp.363-364
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• 2013

바이오에너지는 유기체를 변환시켜 얻을 수 있는 청정에너지원으로 고유가 시대에 화석연료 사용을 줄일 수 있는 대체연료로 중요성이 커지고 있다. 주요 국가에서는 수송연료의 혼합비율을 의무화하는 정책을 시행하고 비식량 자원을 이용한 바이오연료 기술개발을 촉진하여 바이오연료 공급량은 2015년 약 1,600억 리터, 수요량은 약 1,700억 리터로 증가할 전망이다. 이와 같이 바이오에너지에 대한 경제적 가치 및 성장 잠재력에 대한 기대가 커지면서 특허출원 분석을 통한 관련기술 검토 및 주요 국가별 기술경쟁력을 분석할 필요가 있다. 본 연구에서는 특허지표 중에서 시장확보 지수, 인용도 지수를 활용하여 바이오에너지 분야의 국가별 기술경쟁력을 분석하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.555-556
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• 2020

본 논문에서는 지속적으로 증가하는 이동통신 가입자를 수용하고 초고속 모바일 데이터 서비스를 제공하기 위해서 무선 자원을 효율적으로 사용하기 위한 호 제어 방법을 제안한다. 제안된 방법에서는 핸드오버 호 요구를 효율적으로 처리하고 서비스 품질을 개선하기 위하여 핸드오버 지속시간(핸드오버 요구부터 기존 채널 절단까지의 핸드오버 영역에 머무르는 시간)을 고려하여 핸드오버 영역을 먼저 벗어나는 순서를 예측하고 이를 기준으로 우선순위가 높은 핸드오버 호를 먼저 처리한다. 제안된 방법의 성능을 분석하기 위하여 시뮬레이션을 수행하였으며, 가입자의 새로운 호의 발생 시간 간격과 호의 통화시간을 지수분포로 가정하고 지수분포의 memoryless property 특성을 이용하였다. 수행 결과, 제안된 방법이 기존의 FIFO(First-In-First-Out) 방법에 비하여 호의 블록킹 확률과 강제 종료 확률이 감소(평균 25.2%)됨을 알 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.187-189
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• 2011

클라우드 컴퓨팅은 사용자가 편리하게 자원들을 활용하고 필요한 만큼 사용하고 비용을 지불하게 하기위해 등장하였다. 하지만 클라우드 컴퓨팅은 완전히 새로운 것이 아닌 기존의 웹서비스를 이용하기 때문에 이미 존재하는 보안적인 문제점과 클라우드 컴퓨팅에서의 새로운 보안 문제점 등 여러 보안적인 문제점이 존재한다. 본 논문에서는 클라우드 컴퓨팅에서 고려할 수 있는 보안 위협과 보안 이슈에 대해 논의한다.

• Journal of the Korean Geotechnical Society
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• v.26 no.10
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• pp.39-47
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• 2010

In order to investigate the effect of variation characteristics of compression index on the spatial distribution of consolidation settlement, this study presents the estimation methods of the distribution of consolidation settlement and compares the estimated settlements. When the variation of compression index is considerable, the ordinary cokriging is more reliable in estimating the compression index than ordinary kriging because smoothing effect of ordinary cokriging is smaller than that of ordinary kriging. The spatial distribution of consolidation settlement estimated by considering both the variation of compression index and void ratio (CASE-1) is different from that estimated by using the mean value of all soil properties (CASE-2). The settlement of CASE-1 shows the larger variation at short distances rather than that of CASE-2. Whereas the spatial settlement distribution of CASE-1 is affected by the spatial distributions of compression index as well as the thickness of consolidation layer, that of CASE-2 is significantly influenced by the distribution of consolidation layer thickness.

• Korean Journal of Agricultural and Forest Meteorology
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• v.23 no.4
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• pp.329-339
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• 2021

Soybeans (Glycine max), one of major upland crops, require precise management of environmental conditions, such as temperature, water, and soil, during cultivation since they are sensitive to environmental changes. Application of spectral technologies that measure the physiological state of crops remotely has great potential for improving quality and productivity of the soybean by estimating yields, physiological stresses, and diseases. In this study, we developed and validated a soybean growth prediction model using multispectral imagery. We conducted a linear regression analysis between vegetation indices and soybean growth data (fresh weight and LAI) obtained at Miryang fields. The linear regression model was validated at Goesan fields. It was found that the model based on green ratio vegetation index (GRVI) had the greatest performance in prediction of fresh weight at the calibration stage (R²=0.74, RMSE=246 g/m², RE=34.2%). In the validation stage, RMSE and RE of the model were 392 g/m² and 32%, respectively. The errors of the model differed by cropping system, For example, RMSE and RE of model in single crop fields were 315 g/m² and 26%, respectively. On the other hand, the model had greater values of RMSE (381 g/m²) and RE (31%) in double crop fields. As a result of developing models for predicting a fresh weight into two years (2018+2020) with similar accumulated temperature (AT) in three years and a single year (2019) that was different from that AT, the prediction performance of a single year model was better than a two years model. Consequently, compared with those models divided by AT and a three years model, RMSE of a single crop fields were improved by about 29.1%. However, those of double crop fields decreased by about 19.6%. When environmental factors are used along with, spectral data, the reliability of soybean growth prediction can be achieved various environmental conditions.

• Environmental and Resource Economics Review
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• v.19 no.2
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• pp.383-411
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• 2010

Climate change and related policies and regulations influence the performance of the firms in various ways. Climate change influences corporate competitiveness through physical impacts, GHG regulations, changes in asset values, demand shift, etc. Therefore, corporate competitiveness could be maintained by reducing vulnerability to climate change and adapting to new circumstances. Without effective responses to the challenges, the firms would have difficulties in maintaining their competitiveness in the market and the cost of national economy will significantly increase as well. Even though it seems fairly easy to understand the meaning of competitiveness, deriving the driving forces of and measuring changes in competitiveness are complicated and disputable processes. A common way to overcome it is to develop a 'competitiveness index'. The objective of this study is to derive the main factors influencing corporate competitiveness related to climate change and develop 'competitiveness index' reflecting those factors. The index will make contribution to enhance the response capacity of the firms to climate change and increase the effectiveness of climate change policies for the industry by providing a quantitative tool to measure the changes in corporate competitiveness related to climate change.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.129-129
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• 2018

최근 가뭄, 강우사상의 변화 등의 자연적 요인과 함께 불투수면적의 증가, 지하수 이용의 증가, 지하구조물 공사 등과 같은 인위적 요인에 의한 지하수위 하강이 문제가 되고 있다. 지하수위의 하강은 지하수자원 부족과 같은 1차적 피해뿐만 아니라 지반침하, 생태계 교란, 농작물 피해, 지하수 오염과 같은 2차 피해를 야기할 수 있다. 지하수자원에 문제가 생긴 경우 단기간에 회복되기가 힘들고 투자할 수 있는 자원이 한정된 현 상황에서 지하수자원 관리 방안을 유역에 대해서 일괄적으로 적용하기에 어려움이 있다. 이를 위해 영산강 본류가 흐르는 행정구역을 대상으로 정량적인 분석을 통하여 지하수자원 관리에 취약한 지역을 선정하고 지하수자원 관리 방안을 적용하는 것이 효율적인 방법이 될 수 있다. 본 연구에서는 영산강 본류가 흐르는 7개 시 군을 대상으로 자료를 수집하였고 취약성 지수를 산정하여 지하수자원 관리 취약성 분석을 실시하였다. 7개 시 군의 자료를 수집하고 Re-scale 기법을 적용하여 표준화 하였고, 취약성 지수를 산정하기 위하여 엔트로피 방법을 통해 산정된 가중치를 적용하였다. 최종 취약성 지수를 지도에 나타내 가시화 하고 지하수자원 관리에 취약한 지역에 대하여 지하수자원 관리 방안 및 시설물 개선 등의 계획을 세운다면 지하수자원 관리 부족에 따른 피해에 효과적인 대응이 가능할 것으로 예상된다.

• Journal of Wetlands Research
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• v.26 no.2
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• pp.160-167
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• 2024

The amphibians serve as environmental indicator species warning of threats from pollution and development, and information regarding their body condition and surrounding habitat can be utilized as crucial indicators for assessing ecosystem health. The objective of this study was to investigate the differences in body condition and the climate environments according to the season and sex of Class II endangered Kaloula borealis. A total of 53 surveys were conducted from June to October 2018, targeting frogs inhabiting the Godeok-dong area of Gangdong-gu, Seoul. Using the weight and length of each individual, the body condition index (SMI, Scaled mass index) was calculated. Results showed a total capture of 396 individuals, consisting of 235 males and 161 females. Females exhibited longer SVL and greater weight compared to males, with higher body condition indices. Monthly body condition indices were lower for males in June, while no differences were observed between males and females from July to September. Among the climate environments where females and males appeared, environmental variables related to precipitation and humidity showed differences. These research findings are deemed crucial for providing fundamental information to ascertain suitable habitats for Kaloula borealis and selecting alternative habitats due to developmental impacts in the future.

• Korean Journal of Remote Sensing
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• v.37 no.6_3
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• pp.2027-2034
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• 2021

Using multi-temporal KOMPSAT-3/3A high-resolution satellite images, the Normalized Difference Vegetation Index (NDVI) for the area around the Fukushima daiichi nuclear power plant was determined, and the pattern of vegetation changes was analyzed. To calculate the NDVI, surface reflectance from the KOMPSAT-3/3A satellite image was used. Satellite images from four years were used, and the zones where the images overlap was designated as the area of interest (AOI) for the study, and by setting a profile passing through highly vegetated area as a data analysis method, the changes by year were examined. In addition, random points were extracted within the AOI and displayed as a box plot to quantitatively indicate change of NDVI distribution pattern. The main results of this study showed that the NDVI in 2014 was low within AOI in the vicinity of the nuclear power plant, but vegetated area continued to expand until 2021. These results were also confirmed in the change monitoring results shown in a profile or box plot. In disaster areas where access is restricted, such as the Fukushima nuclear power plant area, where it is difficult to collect field data, obtaining land cover classification products with high accuracy using satellite images is challenging, so it is appropriate to analyze them using primary outputs such as vegetation indices obtained from high-resolution satellite imagery. It is necessary to establish an international cooperation system for jointly utilizing satellite images. Meanwhile, to periodically monitor environmental changes in neighboring countries that may affect the Korean peninsula, it is necessary to establish utilization models and systems using high-resolution satellite images.

• Environmental and Resource Economics Review
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• v.10 no.3
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• pp.345-366
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• 2001

Evaluating environmental impacts of regional development projects has critical importance in environmental management aspect. This paper uses multi-attribute utility theory as a basis for obtaining a value index to assess the environmental impacts and applies the theory to a specific Korean case study. To structure and quantify basic values for the assessment, we elicited important attributes, then refined and structured them into a hierarchy. An environmental multi-attribute index is constructed as a multi-attribute utility function, based on value judgments provided by a group of technical experts, policy makers, and a decision-maker at Korean Ministry of Environment. The implications of the results are also discussed. We found that the work and results can provide valuable insights for assessment of environmental consequences.