• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2023년도 춘계학술발표대회
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• pp.598-600
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• 2023

CCTV가 범죄 예방 및 수사에 사용되는데, 수사를 위해 저화질 CCTV 영상에서 특정인의 얼굴 인식엔 어려움을 겪어 CCTV 본연의 역할의 희석된다. 따라서 본 논문은 저화질 영상을 고화질로 변환하여 얼굴 인식의 정확성을 높일 수 있는 알고리즘을 연구하는 것을 목적으로 한다. 기존에 연구된 인공지능 기반의 업스케일링 알고리즘을 분석하여 K-FACE 데이터셋에 적절한 모델을 제안한다. 이를 위해 2020년 이전과 이후의 AI 업스케일링 관련 연구를 비교 분석한다. 향후 제시된 모델을 대상으로 동일한 환경내에서 K-FACE 데이터셋을 학습시켜 통일된 기준의 지표 산출이 필요하다.

• 전기학회논문지
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• 제57권10호
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• pp.1802-1806
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• 2008

Dye-sensitized solar cell (DSC) based on some advantages such as transparency, cheap materials and anti-sensibility for an anlge of incidence has been expected to capture most of solar cell market in the near future. To practical use of DSC, researches on high efficiency as well as upscaling are necessary. In this study, we tried to insert the grid electrode in DSC and scribe transparent conducting oxide (TCO) using Nd:YAG laser. The grid electrode makes the electron movement improved and diffusional movement minimized. Consequently, the efficiency of DSC was increased by reducing electron loss and the surface resistance of TCO. The grid electrode was made using Ag target by radio frequency sputtering. And the scribed surface was confirmed by taking a scanning electron microscopy photos. As the result, grid cell had improved photocurrent and fill factor as compared with the conventional cell. And the efficiency was increased about 1% by enhanced photocurrent and fill factor.

• Elastomers and Composites
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• 제55권3호
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• pp.199-204
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• 2020

Considering the immense applicability of isoprene rubbers, such as natural rubber (NR) and synthetic polyisoprene rubber (IR), attempts are being made to introduce more functionality within the rubber structure, e.g. epoxidation, to widen their technological viability. Epoxidation introduces polar epoxy bonds into the rubber molecular chain, resulting in enhanced intermolecular interactions among the rubber chains, increasing the oil resistance and air impermeability. Although there have been many reports on the epoxidation of NR in its latex form, there has been no such report using its solid form (or gum), which limits the epoxidation in terms of portability. Furthermore, the gum form has longer lifetime, while the latex form has limited lifetime for its efficient use. In this study, the epoxidation of natural rubber and polyisoprene rubber (using meta-chloroperoxybenzoic acid (mCPBA) as the epoxidizing agent) by dissolving their gum in hexane (i.e., the solution method) have been studied and compared. The effects of the amount of mCPBA, reaction time, and reaction temperature were investigated. The present process is easy and facilitates the epoxidation of rubbers in their solid form; therefore, it can be used for industrial upscaling of epoxidized rubber production.

• Journal of Dairy Science and Biotechnology
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• 제32권2호
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• pp.71-76
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• 2014

The Netherlands produce more than 11 million tonnes of milk per year, and approximately 60% of the milk is exported. Dutch milk production is five times higher than that of Korea, even though Korea comprises a land area three times greater than the Netherlands. Upscaling and intensification have characterized the Dutch way of dairy farming since 1960, and adverse effects of the intensification of dairy farming became evident from the late 1970s and early 1980s onwards. The transition toward a more sustainable farming system is a central element of the Dutch agenda for the reconstruction of the livestock production sector. The environmental problems in Dutch dairy farming in the 1980s have led to the establishment of the experimental dairy farm "De Marke" which aims at improving the utilization of fertilizers and feeds, through minimizing nutrient requirements, maximizing the use of nutrients in organic manure and homegrown feeds, and through the targeted use of fertilizers and feeds. 85 cows at "De Marke" produce 720 tonnes of milk per year, using 55 ha of pasture in a sustainable manner. That means, 150,000 ha of pasture are required to produce 2 million tonnes of milk, which the current milk production of Korea. It is urgent to provide sufficient pasture for sustainable milk production in Korea, and primarily the transition to pasture of surplus rice paddies, resulting from of a decrease in rice consumption, should be considered.

• 방사성폐기물학회지
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• 제20권4호
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• pp.429-453
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• 2022

Numerical modeling and scenario composition are needed to characterize the geological environment of the disposal site and analyze the long-term evolution of natural barriers. In this study, processes and features of the hydro-mechanical behavior of natural barriers were categorized and represented using the interrelation matrix proposed by SKB and Posiva. A hydro-mechanical coupled model was evaluated for analyzing stress field changes and fracture zone re-activation. The processes corresponding to long-term evolution and the hydro-mechanical mechanisms that may accompany critical processes were identified. Consequently, practical numerical methods could be considered for these geological engineering issues. A case study using a numerical method for the stability analysis of an underground disposal system was performed. Critical stress distribution regime problems were analyzed numerically by considering the strata's movement. Another case focused on the equivalent continuum domain composition under the upscaling process in fractured rocks. Numerical methods and case studies were reviewed, confirming that an appropriate and optimized modeling technique is essential for studying the stress state and geological history of the Korean Peninsula. Considering the environments of potential disposal sites in Korea, selecting the optimal application method that effectively simulates fractured rocks should be prioritized.

• Smart Structures and Systems
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• 제30권5호
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• pp.501-511
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• 2022

Three-dimensional (3D) models have become crucial for improving civil infrastructure analysis, and they can be used for various purposes such as damage detection, risk estimation, resolving potential safety issues, alarm detection, and structural health monitoring. 3D point cloud data is used not only to make visual models but also to analyze the states of structures and to monitor them using semantic data. This study proposes automating the generation of high-quality 3D point cloud data and removing noise using deep learning algorithms. In this study, large-format aerial images of civilian infrastructure, such as cut slopes and dams, which were captured by drones, were used to develop a workflow for automatically generating a 3D point cloud model. Through image cropping, downscaling/upscaling, semantic segmentation, generation of segmentation masks, and implementation of region extraction algorithms, the generation of the point cloud was automated. Compared with the method wherein the point cloud model is generated from raw images, our method could effectively improve the quality of the model, remove noise, and reduce the processing time. The results showed that the size of the 3D point cloud model created using the proposed method was significantly reduced; the number of points was reduced by 20-50%, and distant points were recognized as noise. This method can be applied to the automatic generation of high-quality 3D point cloud models of civil infrastructures using aerial imagery.

• Environmental Engineering Research
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• 제15권2호
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• pp.123-126
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• 2010

Modeling non-point pollution across multiple scales has become an important environmental issue. As a more representative and practical approach in quantifying and qualifying surface water, a modular neural network (MNN) was implemented in this study. Two different site-scales ($1.5\;{\times}\;10^5$ and $1.62\;{\times}\;10^6\;m^2$) with the same plants, soils, and paddy field management practices, were selected. Hydrologic data (rainfall, irrigation and surface discharge) and water quality data (time-series nutrient loadings) were continuously monitored and then used for the verification of MNN performance. Correlation coefficients (R) for the results predicted from the networks versus measured values were within the range of 0.41 to 0.95. The small block could be extrapolated to the large field for the rainfall-surface drainage process. Nutrient prediction produced less favorable results due to the complex phenomena of nutrients in the drainage water. However, the feasibility of using MNN to generate improved prediction accuracy was demonstrated if more hydrologic and environmental data are provided. The study findings confirmed the estimation accuracy of the upscaling from a small-segment block to large-scale paddy field, thereby contributing to the establishment of water quality management for sustainable agriculture.

• 인터넷정보학회논문지
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• 제14권3호
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• pp.57-65
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• 2013

최근 정보통신기술의 급속한 발달과 대내 외적 경쟁이 가속화되는 등 환경변화에 대응하기 위해 국내 대학은 통합정보시스템 구축 및 고도화의 필요성 인식과 구축 사업을 추진하고 있는 실정이다. 이에 본 연구에서는 고등교육기관의 통합정보시스템 구축 시 환경요인 측면도 정보시스템 성공요인에 중요한 요인이라고 생각하고, 우리나라 현실에 맞는 환경요인을 도출하고자 국 사립대학 통합정보시스템 현황을 분석하였으며, 이를 기반으로 고등교육기관 통합정보시스템 구축 시 고려해야 할 3가지의 환경요인과 21가지의 세부 측정항목을 도출하고, 이를 통합정보시스템을 구축하고자 하는 대학에 성공적으로 적용하기 위한 방안을 제언하였다. 본 연구결과가 대학들의 통합정보시스템 구축 시 성공적인 통합정보시스템 구축의 기초 자료로 활용되기를 기대한다.

• 자원환경지질
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• 제52권1호
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• pp.81-90
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• 2019

본 연구는 이차원 DFN(discrete fracture network) 시스템에서 절리의 빈도 및 길이분포에 따른 절리텐서의 성분 및 일차불변량이 DFN의 블록수리전도 특성에 미치는 영향을 평가하였다. 확정적인 두 방향의 절리군을 사용하여 절리군의 빈도와 길이분포에 따라 생성된 총 36개의 DFN 시스템에서 각각 매 $30^{\circ}$ 간격으로 설정된 수두경사에 따른 블록수리전도도와 절리텐서의 성분 간의 상관성 분석이 수행되었다. DFN 블록의 블록수리전도도는 이에 직교하는 방향의 절리텐서 성분과 강한 상관관계를 갖는다. 본 연구의 연결성을 유지한 DFN 시스템은 절리텐서의 일차불변량이 2.0~2.5 이상일 때 등가의 연속체 해석이 가능한 것으로 평가되었다. 절리텐서의 일차불변량은 평균 블록수리전도도와 매우 강한 함수관계를 갖으며 DFN 시스템의 블록수리전도 특성을 평가하는 데에 사용될 수 있다. 또한, 본 연구를 통하여 절리텐서의 일차불변량을 이용한 DFN 시스템의 업스케일링 가능성이 논의되었다.

• Journal of Microbiology and Biotechnology
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• 제32권7호
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• pp.892-901
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• 2022

The rising demand for carotenoids can be met by microbial biosynthesis as a promising alternative to chemical synthesis and plant extraction. Several species of lactic acid bacteria (LAB) specifically produce C₃₀ carotenoids and offer the added probiotic benefit of improved gut health and protection against chronic conditions. In this study, the recently characterized Lactiplantibacillus plantarum subsp. plantarum KCCP11226^T produced the rare C₃₀ carotenoid, 4,4'-diaponeurosporene, and its yield was optimized for industrial production. The one-factor-at-a-time (OFAT) method was used to screen carbon and nitrogen sources, while the abiotic stresses of temperature, pH, and salinity, were evaluated for their effects on 4,4'-diaponeurosporene production. Lactose and beef extract were ideal for optimal carotenoid production at 25℃ incubation in pH 7.0 medium with no salt. The main factors influencing 4,4'-diaponeurosporene yields, namely lactose level, beef extract concentration and initial pH, were enhanced using the Box-Behnken design under response surface methodology (RSM). Compared to commercial MRS medium, there was a 3.3-fold increase in carotenoid production in the optimized conditions of 15% lactose, 8.3% beef extract and initial pH of 6.9, producing a 4,4'-diaponeurosporene concentration of 0.033 A₄₇₀/ml. To substantiate upscaling for industrial application, the optimal aeration rate in a 5 L fermentor was 0.3 vvm. This resulted in a further 3.8-fold increase in 4,4'-diaponeurosporene production, with a concentration of 0.042 A₄₇₀/ml, compared to the flask-scale cultivation in commercial MRS medium. The present work confirms the optimization and scale-up feasibility of enhanced 4,4'-diaponeurosporene production by L. plantarum subsp. plantarum KCCP11226^T.