• Title/Summary/Keyword: upscaling

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A study on AI upscaling algorithms suitable for facial recognition (얼굴 인식에 적합한 AI 업스케일링 알고리즘에 관한 연구)

  • Doo-il Kwak;Kwang-Young Park
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.05a
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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.

A Study on the Improvement of the Efficiency of Dye-sensitized Solar Cell using the Laser Scribing and the Grid Electrode (레이저 식각 및 그리드 전극을 적용한 염료감응형 태양전지의 효율 향상 연구)

  • Seo, Hyun-Woong;Son, Min-Kyu;Lee, Kyung-Jun;Kim, Jeong-Hoon;Hong, Ji-Tae;Kim, Hee-Je
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.10
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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.

Solution Based Epoxidation Towards Facilitating the Production of Epoxidized Isoprene Rubbers

  • Zhang, Xiaojie;Sinha, Tridib Kumar;Oh, Jeong Seok;Kim, Jin Kuk
    • Elastomers and Composites
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    • v.55 no.3
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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.

De Marke, Dutch Model for Sustainable Dairy Farming (네덜란드 지속 낙농 모델 De Marke)

  • Ham, Jun-Sang;Choi, Yong-Soo;Fongers, Jan
    • Journal of Dairy Science and Biotechnology
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    • v.32 no.2
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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.

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Review on Methods of Hydro-Mechanical Coupled Modeling for Long-term Evolution of the Natural Barriers

  • Chae-Soon Choi;Yong-Ki Lee;Sehyeok Park;Kyung-Woo Park
    • Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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    • v.20 no.4
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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.

Deep learning approach to generate 3D civil infrastructure models using drone images

  • Kwon, Ji-Hye;Khudoyarov, Shekhroz;Kim, Namgyu;Heo, Jun-Haeng
    • Smart Structures and Systems
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    • v.30 no.5
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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.

Assessment of Scale Effects on Dynamics of Water Quality and Quantity for Sustainable Paddy Field Agriculture

  • Kim, Min-Young;Kim, Min-Kyeong;Lee, Sang-Bong;Jeon, Jong-Gil
    • Environmental Engineering Research
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    • v.15 no.2
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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.

A study on the environmental factors and detailed measurement items to be considered in establishing integrated information system in higher education institutions (고등교육기관 통합정보시스템 구축 시 고려해야 할 환경요인과 세부 측정항목에 관한 연구)

  • Lee, Gwang-Su;Ahn, Seongjin
    • Journal of Internet Computing and Services
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    • v.14 no.3
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    • pp.57-65
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    • 2013
  • Recently to take actions to environmental changes like rapid development of IT techniques and acceleration of internal and external competitions etc, domestic universities are conducting projects for establishment and upscaling of integrated information system. In this regard, in this study, the status of integrated information system of national and private universities was analyzed in order to deduce environmental factors for establishment of integrated information system of higher education institutions out of the recognition that environmental factors also are important factors in making the information system a success, and on such basis, 3 environmental factors and 21 detailed measurement items to be considered in establishing integrated information system of higher education institutions were deduced, and plan for successfully application of such integrated information system to the universities that intend to establish integrated information system was proposed. It is anticipated that this study results will be utilized as basic data for successfully establishment of integrated information system in universities when they establish integrated information system.

Effects of Fracture Tensor Component and First Invariant on Block Hydraulic Characteristics of the 2-D Discrete Fracture Network Systems (절리텐서의 성분 및 일차불변량이 2-D DFN 시스템의 블록수리전도 특성에 미치는 영향)

  • Um, Jeong-Gi
    • Economic and Environmental Geology
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    • v.52 no.1
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    • pp.81-90
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    • 2019
  • In this study, the effects of fracture tensor component and first invariant on block hydraulic behaviors are evaluated in the 2-D DFN(discrete fracture network) systems. A series of regression analysis is performed between connected fracture tensor components and block hydraulic conductivities estimated at every $30^{\circ}$ hydraulic gradient directions for a total of 36 DFN systems having various joint density and size distribution. The directional block hydraulic conductivity seems to have strong relation with the fracture tensor component estimated in direction perpendicular to it. It is found that an equivalent continuum approach could be acceptable for the 2-D DFN systems under condition that the first invariant of fracture tensor is more than 2.0~2.5. The first invariant of fracture tensor seems highly correlated with average block hydraulic conductivity and can be used to evaluate hydraulic characteristics of the 2-D DFN systems. Also, a possibility of upscaling using the first invariant of fracture tensor for the DFN system is addressed through this study.

Enhanced Production of C30 Carotenoid 4,4'-Diaponeurosporene by Optimizing Culture Conditions of Lactiplantibacillus plantarum subsp. plantarum KCCP11226T

  • Siziya, Inonge Noni;Yoon, Deok Jun;Kim, Mibang;Seo, Myung-Ji
    • Journal of Microbiology and Biotechnology
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    • v.32 no.7
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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 KCCP11226T 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 KCCP11226T.