• Title/Summary/Keyword: model refinement

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3D Automatic Mesh Generation Scheme for the Boundary Element Method (경계요소법을 위한 3차원 자동요소분할)

  • Lee, H.B.;Lee, S.H.;Kim, H.S.;Lee, K.S.;Hahn, S.Y.
    • Proceedings of the KIEE Conference
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    • 1993.07b
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    • pp.935-937
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    • 1993
  • This paper presents a three dimensional automatic mesh generation scheme for the boundary element method, and this scheme can be applicable to practical problems of complex shape. The geometry of the problem is expressed as an assemblage of linear Coon's surfaces, and each surface is made up of four edge curves which are defined in the form of a parametric function. Curves are automatically segmented according to their characteristics. With these segments of curves, interior points and triangular mesh elements are generated in the parametric plane using Lindholm's method, and then their projection on the real surface forms the initial mesh. The refinement of initial mesh is performed so that the discrete triangular planes are close to the real continuous surfaces. The bisection method is used for the refinement. Finally, interior points in the refined mesh are rearranged so as to make each element be close with an equilateral triangle. An attempt has been made to apply the proposed method to a DY(Deflection Yoke) model.

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Jointly Learning of Heavy Rain Removal and Super-Resolution in Single Images

  • Vu, Dac Tung;Kim, Munchurl
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2020.11a
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    • pp.113-117
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    • 2020
  • Images were taken under various weather such as rain, haze, snow often show low visibility, which can dramatically decrease accuracy of some tasks in computer vision: object detection, segmentation. Besides, previous work to enhance image usually downsample the image to receive consistency features but have not yet good upsample algorithm to recover original size. So, in this research, we jointly implement removal streak in heavy rain image and super resolution using a deep network. We put forth a 2-stage network: a multi-model network followed by a refinement network. The first stage using rain formula in the single image and two operation layers (addition, multiplication) removes rain streak and noise to get clean image in low resolution. The second stage uses refinement network to recover damaged background information as well as upsample, and receive high resolution image. Our method improves visual quality image, gains accuracy in human action recognition task in datasets. Extensive experiments show that our network outperforms the state of the art (SoTA) methods.

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Extended Mixing Rule to Complex Permittivity

  • Wakino, Ki-Kuo
    • Journal of the Korean Ceramic Society
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    • v.40 no.4
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    • pp.371-374
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    • 2003
  • Various types of equation for mixing rule on permittivity of mixture have been proposed, but none of these is not perfect because of the inconsistency between the actual geometrical configuration and the basic model for calculation. Serial model and parallel model are lower and upper extremes of mixing manner, the apparent permittivity of any other type of mixture stay between these two extreme states. For the random mixture of the stumpy fine particles, customarily the logarithmic mixing rule has been applied. But, the logarithmic mixing rule does not give the proper value of permittivity in low or high mixing rate of constituent. The author proposed the new mixing rule that gives better consistency with measured value in whole mixing range compared to the logarithmic rule. In this paper, a desirable refinement on the equation proposed in the previous paper is made to adapt to thr configuration image of actual compound and then the equation has been expanded to the complex permittivity to apply the mixing rule on the dissipative materials cases.

The Application of Preconditioning in Laminar Spray Combustion Analysis (예조건화 압축성 알고리듬을 이용한 층류 분무연소장 해석)

  • Hwang Yong-Sok;Yoon Woong-Sup
    • 한국전산유체공학회:학술대회논문집
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    • 1998.05a
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    • pp.128-137
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    • 1998
  • In this numerical experiment, the preconditioned compressible Navier-Stokes equation is tested to analyze the laminar spray combustion. Sprayed flow field is formulated by Eulerian-Lagrangian system for the gas and liquid phases each. DSF(Deterministic Separated Flow) model was adopted for the sprays with the vortex model to describe transients of individual droplet heating. Simplified single global reaction model approximates methanol-air reaction with and without disk flame holder. The equation system is discretized by finite difference technique and time integrated by LU-SGS. Due to greatly simplified chemical reaction mechanism and the lack of experimental evidences, most of the efforts were devoted to show the applicability and robustness of preconditioned compressible flow calculation algorithm. Computation results in qualitatively reasonable combusting flow field, hence it is believed that further refinement are required to produce quantitatively accurate solutions.

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Turbulent Flow through a Square Straight and Curved Duct with Reynolds Stress Models (정사각 직관과 $180^{\circ}$ 곡관내 난류유동의 레이놀즈응력모형 적용)

  • Chun, Kun-Ho;Choi, Young-Don
    • Proceedings of the KSME Conference
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    • 2000.04b
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    • pp.771-776
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    • 2000
  • Fine grid calculations are reported for the developing turbulent flow in a straight duct and a curved duct of square cross-section with a radius of curvature to hydraulic diameter ratio ${\delta}=R_c/H_H=3.357$ and a bend angle of 180 deg. A sequence of modeling refinements is introduced; the replacement of wall function by a fine mesh across the sublayer and a low Reynolds number second moment closure up to the near wall sublayer in which the non-linear return to isotropy model and the cubic-quasi-isotropy model for the pressure strain are adopted; and the introduction of a multiple source model for the exact dissipation rate equation. Each refinement is shown to lead to an appreciable improvement in the agreement between measurement and computation.

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Preliminary Results of a Numerical Experiment on Wintertime Circulation in the East China Sea (동지나해의 동계의 해수순환에 관한 수치실험)

  • 최병호
    • Water for future
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    • v.17 no.4
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    • pp.293-302
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    • 1984
  • The tidal and meteorological condition associated with wintertime surges in the Ease China Sea are described. The vertically-integrated finite difference model of the East china Sea have been used to investigate the surges generated during a period of 5 days in November, 1983 dynamically. Computed residual elevations are compared with hourly records form selected tide gauges along the west coast of Korea. Preliminary results on circulation pattern derived from the numerical model are presented and discussed. Further refinement of the model using current meter observation is presently being performed to provide more accurate information on bottom stress distribution.

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Modelling Strength and Ductility of Nanocrystalline Metallic Materials

  • Kim, Hyoung-Seop
    • Journal of Powder Materials
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    • v.8 no.3
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    • pp.168-173
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    • 2001
  • The effect of grain refinement of the strength and ductility of metallic materials is investigated. A model in which a single phase material is considered as an effectively two-phase one is discussed. A distinctive feature of the model is that grain boundaries are treated as a separate phase deforming by a diffusion mechanism. Deformation of the grain interior phase is assumed to be carried by two concurrent mechanism. Deformation of the grain interior phase is assumed to be carried by two concurrent mechanisms: dislocation glide and mass transfer by diffusion. The model was exemplified by simulating uniaxial tensile deformation of Cu down to the nanometer grain size. The results confirm the observed strain hardening behaviour and a trend for reduction of ductility with decreasing grain size at room temperature.

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Modelling the Tensile Instability of Nanocrystalline Metallic Materials (나노금속재료의 인장불안정에 대한 모델링)

  • Kim H. S.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2001.10a
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    • pp.251-254
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    • 2001
  • In this paper, the effect of grain refinement on room temperature ductility of copper was addressed. Recent experimental results have shown that this material, as well as a number of other single-phase metals that are ductile when coarse-grained, loose their ductility with decreasing grain size in the sub micrometer range. A recently developed model in which such materials are considered as effectively two-phase ones (with the grain boundaries treated as a linearly viscous second phase) was applied to analyze stability of Cu against ductile necking. As a basis, Hart's stability analysis that accounts for strain rate sensitivity effects was used. The results confirm the observed trend for reduction of ductility with decreasing grain size. The model can be applied to predicting the grain size dependence of ductility of other metallic materials as well.

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Analgesic Effect of Blue Honeysuckle on the Rat Menopausal Pain, Primary Dysmenorrhea (Estradiol benzoate 및 oxytocin 투여로 유발된 랫트 생리통 모델에서 댕댕이나무 열매 농축동결건조 분말의 진통 및 생리장애 개선 효과)

  • Joo, Si-Chan;Lee, Sang-nam;Choi, Seong-Hun;Park, Ji-Ha
    • The Korea Journal of Herbology
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    • v.35 no.6
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    • pp.55-68
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    • 2020
  • Objectives : We observed the possibilities that blue honeysuckle has favorable analgesic or refinement effects on the Primary dysmenorrhea (PD) in rats. Methods : Estradiol benzoate and oxytocin were used to induce the PD rat model. And Blue honeysuckle concentration lyophilized powders (BH) 500, 250 and 125 mg/kg and 500 mg/kg of Lonicerae Flos aqueous extract lyophilized powders (LF) were orally administered, once a day for 10 days at 30 min after each estradiol benzoate treatment. Then the changes on the body weights and gains during experimental periods, abdominal writhing response for analgesic activities, uterine weights, uterus lipid peroxidation, antioxidant defense system - glutathione contents, superoxide dismutase and catalase activities, NF-κB and COX-2 mRNA expressions were monitored with uterus histopathology including immunohistochemistry for tumor necrosis factor (TNF)-α and inducible nitric oxide synthase (iNOS).. Results : Inflammatory and oxidative stress mediated PD signs were favorably and dose-dependently inhibited by 10 days continuous oral administration of three different dosages of BH - 500, 250 and 125 mg/kg as comparable to those of indomethacin(IND) 5 mg/kg treated rats in BH 500 mg/kg administered PD rats, and similar to those of LF 500 mg/kg in BH 125 mg/kg, at least in a condition of the present PD rat model. Conclusions : The results suggest that BH has favorable analgesic and refinement activities on the estradiol benzoate and oxytocin treatment-induced PD signs through anti-inflammatory and antioxidative potentials.

Development of Water Quality Modeling in the United States

  • Ambrose, Robert B;Wool, Tim A;Barnwell, Thomas O.
    • Environmental Engineering Research
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    • v.14 no.4
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    • pp.200-210
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    • 2009
  • The modern era of water quality modeling in the United States began in the 1960s. Pushed by advances in computer technology as well as environmental sciences, water quality modeling evolved through five broad periods: (1) initial model development with mainframe computers (1960s - mid 1970s), (2) model refinement and generalization with minicomputers (mid 1970s - mid 1980s), (3) model standardization and support with microcomputers (mid 1980s - mid 1990s), (4) better model access and performance with faster desktop computers running Windows and local area networks linked to the Internet (mid 1990s - early 2000s), and (5) model integration and widespread use of the Internet (early 2000s - present). Improved computer technology continues to drive improvements in water quality models, including more detailed environmental analysis (spatially and temporally), better user interfaces and GIS software, more accessibility to environmental data from on-line repositories, and more robust modeling frameworks linking hydrodynamics, water quality, watershed and atmospheric models. Driven by regulatory needs and advancing technology, water quality modeling will continue to improve to better address more complicated water bodies and pollutant types, and more complicated management questions. This manuscript describes historical trends in water quality model development in the United States, reviews current efforts, and projects promising future directions.