• Title/Summary/Keyword: Function Representation

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A parametric study of indicial function models in bridge deck aeroelasticity

  • Borri, C.;Costa, C.
    • Wind and Structures
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    • v.7 no.6
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    • pp.405-420
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    • 2004
  • In common approaches, bridge dynamics under wind action is analyzed by modeling the interaction between fluid and structure by means of transient wind loads acting over the structure itself. Amid various possible manners to describe such types of loads, a representation based on families of 'indicial functions' is adopted here. The aim is to investigate its flexibility to capture the main features of wind-bridge interaction. A set of coefficients is involved in indicial functions. The values that one may attribute to them suffer uncertainties coming from experimental errors affecting data. Here, the sensitivity of a 2-DOF schematic model to the variations of these coefficients is investigated at fixed values of dynamic derivatives and for various types of indicial functions. It is shown how parameter variations influence phase portraits.

The Linkage between Spline/NURBS Free Surface and Shell Finite Element Analysis (Spline/NURBS 자유곡면과 쉘 해석의 연동)

  • 노희열;조맹효
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2001.10a
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    • pp.303-310
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    • 2001
  • We propose the framework which directly links shell finite element to the free form surface geometric modeling. For the development of a robust shell element, a first order shear deformable shell theory and partial mixed variational functional are provided. Bubble functions are included in the shape function of displacement to improve the performance of the developed element. The Spline/NURBS is used to generate the general free form of parameterized shell surfaces. The proposed shell finite element model linked with NURBS surface representation provides efficiency for design and analysis. Numerical examples are given in order to assess the accuracy of the performances of the proposed element.

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Minimization of Complex Terms using BDD and it's Application to Cellular Architecture FPGA (BDD를 이용한 complex term의 최소화와 cellular architecture FPGA에의 응용)

  • 김미영;이귀상
    • Journal of the Korean Institute of Telematics and Electronics C
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    • v.34C no.2
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    • pp.12-18
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    • 1997
  • An efficient synthesis method of cellular architecture FPgA is proposed in this paper. To generate a logical representation called complex term which is to be directly mapped onto the cellular architecture FPGA, and SO or ESOP minimization tool was used in previous methods. Instead, we use a logic function transformed into BDD (binary decision diagram) in the actual generation of the complex temrs. In this process it estimates the cost(i.e. the number of complex terms) for three branches, 0-branch and 1-branches. This process is continued over the whole BDD to do such computation, and we observed that the number of complex terms has been reduced compared to the previous results.

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Volumetric NURBS Representation of Multidimensional and Heterogeneous Objects: Concepts and Formation (VNURBS기반의 다차원 불균질 볼륨 객체의 표현: 개념 및 형성)

  • Park S. K.
    • Korean Journal of Computational Design and Engineering
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    • v.10 no.5
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    • pp.303-313
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    • 2005
  • This paper proposes a generalized NURBS model, called Volumetric NURBS or VNURBS for representing volumetric objects with multiple attributes embedded in multidimensional space. This model provides a mathematical framework for modeling complex structure of heterogeneous objects and analyzing inside of objects to discover features that are directly inaccessible, for deeper understanding of complex field configurations. The defining procedure of VNURBS, which explains two directional extensions of NURBS, shows VNURBS is a generalized volume function not depending on the domain and its range dimensionality. And the recursive a1gorithm for VNURBS derivatives is described as a computational basis for efficient and robust volume modeling. In addition, the specialized versions of VNURBS demonstrate that VNURBS is applicable to various applications such as geometric modeling, volume rendering, and physical field modeling.

A Study on the Freeform Surface Generation Using Parametric Method (파라메트릭기법을 이용한 3차원 자유곡면 생성에 관한 연구)

  • 김태규;변문현
    • Korean Journal of Computational Design and Engineering
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    • v.3 no.4
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    • pp.293-303
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    • 1998
  • The objective of this study is to develop a PC level freeform surface modeling system which explicitly represents information of part geometry. Surface modeler uses nonuniform rational B-spline (NURBS) function with nonuniform knot vector for the flexible modeling work. The results of this study are as follows. 1) By implementation surface modeler through applying representation scheme proposed to represent free-form surface explicity, the technical foundation to develop free-from surface modeling system using parametric method. 2) Besides the role to model geometric shape of a surface, geometric modeler is developed to model arbitrary geometric shape. By doing this, the availability of the modeling system is improved. Geometric modeler can be utilized application fields such as collision test of tool and fixture, and tool path generation for NC machine tool.

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A Study on Development of Balanced Scorecard System Application to Worker Value Analysis (작업자 가치 분석을 활용한 BSC(Balanced Score card) 시스템 개발에 관한 연구)

  • Yun, Jun-Sub;Seo, Byong-Yoon;Yang, Kwang-Mo;Kang, Kyung-Sik
    • Proceedings of the Safety Management and Science Conference
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    • 2007.04a
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    • pp.21-26
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    • 2007
  • Kaplan & Norton introduce the BSC in early 1990s. after introducing the Balanced scorecard, The Balanced scorecard has been evolved in various function. In the various functional Balanced scorecard, this paper focuses on the logistics BSC, and the decision the weights of Key Performance Indicators. In this paper, a combination of Balanced scorecard and AHP-LTV based approach proposed multi-criteria provides a more accurate representation of the problem for measuring company.

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Speech Recognition Using Recurrent Neural Prediction Models (회귀신경예측 모델을 이용한 음성인식)

  • 류제관;나경민;임재열;성경모;안성길
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.32B no.11
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    • pp.1489-1495
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    • 1995
  • In this paper, we propose recurrent neural prediction models (RNPM), recurrent neural networks trained as a nonlinear predictor of speech, as a new connectionist model for speech recognition. RNPM modulates its mapping effectively by internal representation, and it requires no time alignment algorithm. Therefore, computational load at the recognition stage is reduced substantially compared with the well known predictive neural networks (PNN), and the size of the required memory is much smaller. And, RNPM does not suffer from the problem of deciding the time varying target function. In the speaker dependent and independent speech recognition experiments under the various conditions, the proposed model was comparable in recognition performance to the PNN, while retaining the above merits that PNN doesn't have.

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Comparing BRDF Models: Representation of Measured BRDF (BRDF 모델비교: 측정 BRDF의 표현을 중심으로)

  • Lee, Joo-Haeng;Kim, Sung-Soo;Park, Hyung-Jun
    • Korean Journal of Computational Design and Engineering
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    • v.14 no.5
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    • pp.346-354
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    • 2009
  • BRDF (bidirectional reflectance distribution function) is critical in realistic simulation of material appearances since it models the directional characteristics of reflection of light. Although many BRDF models have been proposed so far, it is still not easy to find one specific model that could represent all the reflection properties of real materials such as generalized diffusion, off-specular reflection, Fresnel effect, and back scattering. In this paper, we compare three BRDF models including B-spline volume BRDF (BVB), Cook-Torrance, and Lafortune in their ability to represent the measured BRDF data for physically-based rendering. We show that B-spline volume BRDF surpass the others in quality of data fitting and rendering, especially for materials without specular reflections.

Electronic States of Uranium Dioxide

  • Younsuk Yun;Park, Kwangheon;Hunhwa Lim;Song, Kun-Woo
    • Nuclear Engineering and Technology
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    • v.34 no.3
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    • pp.202-210
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    • 2002
  • The details of the electronic structure of the perfect crystal provides a critically important foundation for understanding the various defect states in uranium dioxide. In order to understand the local defect and impurity mechanism, the calculation of electronic structure of UO$_2$ in the one-electron approximation was carried out, using a semi-empirical tight-binding formalism(LCAO) with and without f-orbitals. The energy band, local and total density of states for both spin states are calculated from the spectral representation of Green’s function. The bonding mechanism in Perfect lattice of UO$_2$ is discussed based upon the calculations of band structure, local and total density of states.

Investigation of the Convergence Behavior with Fluctuation Features in the Fourier Modal Analysis of a Metallic Grating

  • Kim, Hwi;Park, Gwanwoo;Kim, Changsoon
    • Journal of the Optical Society of Korea
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    • v.16 no.3
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    • pp.196-202
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    • 2012
  • We observe that the transmission and reflection efficiencies of a one-dimensional metallic grating under transverse-magnetic illumination calculated using the Fourier modal method (FMM) with the Fourier factorization rules have peculiar fluctuations, albeit small in magnitude, as the number of field harmonics increases. It is shown that when the number of Fourier terms for the electromagnetic field is increased from that in the conventional FMM, the fluctuations due to non-convergent highly evanescent eigenmodes can be eliminated. Our examination reveals that the fluctuations originate from the Gibbs phenomenon inherent in the Fourier-series representation of a permittivity function with discontinuities, and from non-convergence of highly evanescent internal Bloch eigenmodes.