• 제목/요약/키워드: Overall Modeling Method

검색결과 249건 처리시간 0.027초

구조화된 절차적 방법을 이용한 섬 3차원 모델링 (3D Modeling of Islands using Structured Procedural Method)

  • 박상현
    • 한국전자통신학회논문지
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    • 제16권5호
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    • pp.879-888
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    • 2021
  • 정보통신기술의 발달로 실감미디어를 활용한 간접 체험 콘텐츠의 수요가 증가하고 있다. 실감미디어는 만들 때 모델들의 전체적인 느낌이 일정하게 유지되어야 콘텐츠를 즐길 때 몰입감을 유지하게 해 준다. 관광지에 대한 간접 체험을 제공하는 실감미디어의 경우 관광지의 실제 정보를 반영한 모델링이 되어야 정확한 체험을 제공할 수 있다. 본 논문에서는 남해안의 대표적인 관광자원인 섬을 실제 데이터를 반영하여 3차원으로 모델링하는 방법을 제안한다. 제안하는 방법에서는 구조화된 절차에 따라 모델링을 하기 때문에 여러 사람이 공동으로 작업하여 콘텐츠를 제작하여도 쉽게 전체 모델의 일관성을 유지하게 해 준다. 우도 섬의 정보를 이용한 모델링 결과를 보면 제안하는 방법이 단순히 높이 정보를 이용한 모델링 방법 보다 사실적인 결과를 만드는 것을 보여준다.

사진 측정에 의한 옷감의 질감 모델링 및 사실적 렌더링 (A Realistic Modeling and Rendering of Cloth Textures by Photometry)

  • 김민수;김대현;김명준
    • 한국정보과학회논문지:시스템및이론
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    • 제35권2호
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    • pp.84-93
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    • 2008
  • 영상 산업 분야에서 옷감의 질감 모델링과 렌더링은 영상에 사실감을 부여해주는 중요한 요소로 여겨진다. 지금까지는 옷감이나 실의 반사모델을 이론적인 방법으로 계산하거나 계측장비를 통하여 옷감의 전반적인 반사 모델을 구하여 옷감의 재질감을 표현하였다. 이론적인 방법으로는 다양한 옷감의 특성을 재현하기가 어렵고, 옷감 패턴을 견사 레벨에서 자세히 모델링해야 하므로 엄청난 계산 시간을 요한다. 기존의 계측장비를 사용할 경우, 획득된 반사모델 데이타가 너무 크고 한 점에서 측정된 반사모델을 옷감 전체의 반사모델로 사용해야 하므로 옷감의 패턴이나 결의 모양을 제대로 표현할 수 없다. 본 논문에서는 손쉽게 제작할 수 있는 측정장치를 사용하여 실제 옷감을 촬영하고 분석하여 옷감의 직조패턴까지 재현하는 사실적인 질감 모델링 및 렌더링 방법을 제안한다.

시스템 모델링 및 제어 수업의 플립드 러닝(Flipped Learning)의 적용 및 그 효과에 관한 연구 (Effect of Flipped Learning on System Modeling and Control Course)

  • 김연;안창선
    • 공학교육연구
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    • 제19권5호
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    • pp.72-77
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    • 2016
  • The flipped learning is currently suggested in engineering education, and several universities already have used it. However, research rarely examines whether using such special method in engineering education is effective to improve students' learning achievement. To illuminate this issue, we collected the data of students' achievement for two years from students who took system modeling and control course and analyzed them. Overall, the flipped learning is statistically effective to improve students' learning achievement about system modeling and control.

Software Analysis and Design of the Image Acquisition Subsystem Using the Unified Modeling Language

  • Yom, Jae-Hong
    • Korean Journal of Geomatics
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    • 제1권1호
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    • pp.85-93
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    • 2001
  • Geospatial database, which is the basis for Geo-Spatial Information Systems, is produced by conventional mapping methods. Recently, with increased demand for digital forms of the geospatial database, studies are carried out to automate its production. The automated mapping system is composed of the image acquisition subsystem, positioning subsystem, point referencing subsystem and the visualization subsystem. The image acquisition subsystem is the most important part of the overall production line because it is the starting point and will affect all subsequent processes. This paper presents a software analysis and design of the image acquisition subsystem. The design was carried out using the Unified Modeling Language which is a modeling method used extensively in the software engineering field.

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Multiscale approach to predict the effective elastic behavior of nanoparticle-reinforced polymer composites

  • Kim, B.R.;Pyo, S.H.;Lemaire, G.;Lee, H.K.
    • Interaction and multiscale mechanics
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    • 제4권3호
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    • pp.173-185
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    • 2011
  • A multiscale modeling scheme that addresses the influence of the nanoparticle size in nanocomposites consisting of nano-sized spherical particles embedded in a polymer matrix is presented. A micromechanics-based constitutive model for nanoparticle-reinforced polymer composites is derived by incorporating the Eshelby tensor considering the interface effects (Duan et al. 2005a) into the ensemble-volume average method (Ju and Chen 1994). A numerical investigation is carried out to validate the proposed micromechanics-based constitutive model, and a parametric study on the interface moduli is conducted to investigate the effect of interface moduli on the overall behavior of the composites. In addition, molecular dynamics (MD) simulations are performed to determine the mechanical properties of the nanoparticles and polymer. Finally, the overall elastic moduli of the nanoparticle-reinforced polymer composites are estimated using the proposed multiscale approach combining the ensemble-volume average method and the MD simulation. The predictive capability of the proposed multiscale approach has been demonstrated through the multiscale numerical simulations.

갈륨비소 MESFET의 모델링과 파라미터 추출법에 관한 연구 (A Study on the GaAs MESFET Modeling and the Method of Parameter Extraction)

  • 정명래;김학선;이형재
    • 한국통신학회:학술대회논문집
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    • 한국통신학회 1991년도 추계종합학술발표회논문집
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    • pp.210-214
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    • 1991
  • We briefly compared GaAs MESFET model and s셔요 on the method of parameter extraction for PSPICE simulation. The parameter determined from above method were substituded into a commercial version of PSPICE which supports the hyperbolic tangentent model. The result of simulation is reasonably good at the lower VGS and is significantly fitted overall by optimization.

Mathematical Modeling on AC Pollution Flashover Performance of Glass and Composite Insulator

  • Prakash, N.B.;Parvathavarthini, M.;Madavan, R.
    • Journal of Electrical Engineering and Technology
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    • 제10권4호
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    • pp.1796-1803
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    • 2015
  • While considering the current scenario, in this world power demand goes on increases day by day. Frequent power outages occur in high voltage transmission line due to the deprived performance of polluted insulators; this affects overall operation of power system and may indirectly impinge on the growth of production sector. Many researchers are keenly taking efforts to provide highly reliable and stable power to neediest. In this paper, A.C pollution flashover performance of disc type glass insulator and composite long rod insulators investigation under various artificial pollutions by varying Equivalent Salt Density Deposition (ESDD) levels. Here, we use different types of pollution methods like binding method, dipping method and spraying methods with different types of pollutants concentration. Based on dimensional analysis, four different Mathematical models have been developed to predict the A.C pollution Flashover Voltage (FOV) of insulators. Both the experimental and mathematically modeled results are compared; it's observed that mathematical model 3 yields better results.

Bootstrap simulation for quantification of uncertainty in risk assessment

  • Chang, Ki-Yoon;Hong, Ki-Ok;Pak, Son-Il
    • 대한수의학회지
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    • 제47권2호
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    • pp.259-263
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    • 2007
  • The choice of input distribution in quantitative risk assessments modeling is of great importance to get unbiased overall estimates, although it is difficult to characterize them in situations where data available are too sparse or small. The present study is particularly concerned with accommodation of uncertainties commonly encountered in the practice of modeling. The authors applied parametric and non-parametric bootstrap simulation methods which consist of re-sampling with replacement, in together with the classical Student-t statistics based on the normal distribution. The implications of these methods were demonstrated through an empirical analysis of trade volume from the amount of chicken and pork meat imported to Korea during the period of 1998-2005. The results of bootstrap method were comparable to the classical techniques, indicating that bootstrap can be an alternative approach in a specific context of trade volume. We also illustrated on what extent the bias corrected and accelerated non-parametric bootstrap method produces different estimate of interest, as compared by non-parametric bootstrap method.

FUZZY IDENTIFICATION BY MEANS OF AUTO-TUNING ALGORITHM AND WEIGHTING FACTOR

  • Park, Chun-Seong;Oh, Sung-Kwun;Ahn, Tae-Chon;Pedrycz, Witold
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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    • pp.701-706
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    • 1998
  • A design method of rule -based fuzzy modeling is presented for the model identification of complex and nonlinear systems. The proposed rule-based fuzzy modeling implements system structure and parameter identification in the efficient form of " IF..., THEN,," statements. using the theories of optimization and linguistic fuzzy implication rules. The improved complex method, which is a powerful auto-tuning algorithm, is used for tuning of parameters of the premise membership functions in consideration of the overall structure of fuzzy rules. The optimized objective function, including the weighting factors, is auto-tuned for better performance of fuzzy model using training data and testing data. According to the adjustment of each weighting factor of training and testing data, we can construct the optimal fuzzy model from the objective function. The least square method is utilized for the identification of optimum consequence parameters. Gas furance and a sewage treatment proce s are used to evaluate the performance of the proposed rule-based fuzzy modeling.

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부착과 비부착된 프리스트레스트 콘크리트보의 휨 모델 (Flexural Modeling of Bonded and Unbonded Prestressed Concrete Beam)

  • 김민경;이차돈
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 1999년도 학회창립 10주년 기념 1999년도 가을 학술발표회 논문집
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    • pp.467-470
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    • 1999
  • An analytical method based on the nonlinear layered finite element method is developed to simulate overall load-deflection behavior of bonded and unbonded prestressed concrete beams. The model which uses rather advanced numerical technique for iterative convergence to equilibrium can be regarded as superior one compared to the models mainly based on either load control or displacement control methods. Model predictions were compared with preceding experimental results and it was observed that there were good agreements between them.

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