• Title/Summary/Keyword: parametrization

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Interpolation and Parametrization of Human Body Scan Data Using B-Spline Surface (B-Spline Surface를 이용한 인체 계측 데이터의 Interpolation과 Parametrization)

  • 설인환;강태진
    • Proceedings of the Korean Fiber Society Conference
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    • 2002.04a
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    • pp.235-238
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    • 2002
  • 3차원 어패럴 캐드 시스템은 의복 생산 공정의 자동화를 위해 꾸준히 연구되고 있다. 이러한 어패럴 캐드 시스템의 주요한 목표 중의 하나가 소량 주문 생산에의 대응이다. 그런데 인체의 형태는 매우 다양하므로 개개인의 인체 형태에 대응하는 적합한 의복 디자인을 위해서는 먼저 정확한 인체 형태의 정확한 계측이 필요하다. 인체 데이터의 3차원적인 제품들인 계측은 그동안 많은 연구가 이루어져 상업화된 제품도 다수 출시되었다. (중략)

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Design of brain-state-in-a-Box neural networks using parametrization of solution space and genetic algorithm (해공간의 매개변수화와 알고리즘을 이용한 BSB 신경망의 설계)

  • 윤성식;박주영;박대희
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.2
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    • pp.178-186
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    • 1996
  • This paper proposes a new design technique that can be used for BSB (brain-state-in-a-box) neural networks to realize autoassociative memories. The proposed method is based on the parametrization of solution space and optimization using genetic algorithm. The applicability of the established technique is demonstrated by means of a simulation example, which illustrates its strengths.

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YOUNG TABLEAUX, CANONICAL BASES, AND THE GINDIKIN-KARPELEVICH FORMULA

  • Lee, Kyu-Hwan;Salisbury, Ben
    • Journal of the Korean Mathematical Society
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    • v.51 no.2
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    • pp.289-309
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    • 2014
  • A combinatorial description of the crystal $\mathcal{B}({\infty})$ for finite-dimensional simple Lie algebras in terms of certain Young tableaux was developed by J. Hong and H. Lee. We establish an explicit bijection between these Young tableaux and canonical bases indexed by Lusztig's parametrization, and obtain a combinatorial rule for expressing the Gindikin-Karpelevich formula as a sum over the set of Young tableaux.

Design of BSB Neural Networks using Parametrization of Solution Space and Optimization of Performance Index on Domain of Attraction (해공간의 매개변수화와 DOA 성능지수의 최적화를 이용한 BSB 신경망 설계)

  • 임영희;박주영;박대희
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1995.10b
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    • pp.264-272
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    • 1995
  • This paper presents an efficient design method to realize an associative memory with BSB neural networks by means of the parametrization of the solution space and searching for the optimal solution using an evolution program. In particular, the performance index based on DOA analysis in this paper may make and associative memory implementation to reach on the level of practical success.

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Practical resolution of angle dependency of multigroup resonance cross sections using parametrized spectral superhomogenization factors

  • Park, Hansol;Joo, Han Gyu
    • Nuclear Engineering and Technology
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    • v.49 no.6
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    • pp.1287-1300
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    • 2017
  • Based on the observation that ignoring the angle dependency of multigroup resonance cross sections within a fuel pellet would result in nontrivial underestimation of the spatial self-shielding of flux, a parametrized spectral superhomogenization (SPH) factor library (PSSL) method is developed as a practical means of resolving the problem. Region-wise spectral SPH factors are calculated by the normal and transport corrected SPH iterations after ultrafine group slowing down calculations over various light water reactor pin-cell configurations. The parametrization is done with fuel temperature, U-238 number density, fuel radius, moderator source represented by ${\Sigma}_{mod}V_{mod}$, and the number density ratio of resonance nuclides to that of U-238 in a form of resonance interference correction factors. The parametrization is successful in that the root mean square errors of the interpolated SPH factors over the fuel regions of various pin-cells are within 0.1%. The improvement in reactivity error of the PSSL method is shown to be superior to that by the original SPH method in that the reactivity bias of -200 pcm to -300 pcm vanishes almost completely. It is demonstrated that the environment effect takes only about 4% in the reactivity improvement so that the pin-cell based PSSL method is effective in the assembly problems.

A New Unified Design Environment for Optimization of Electric Machines Based on Continuum Sensitivity and B-Spline Parametrization

  • Kim, Min-Ho;Lee, Hyang-Beom;Kim, Hyeong-Seok;Byun, Jin-Kyu
    • Journal of Electrical Engineering and Technology
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    • v.6 no.4
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    • pp.513-518
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    • 2011
  • In this paper, a unified design environment is developed for the optimization of electric machines based on continuum sensitivity. For electromagnetic (EM) system analysis, COMSOL scripting environment is used. Optimization module is developed by MATLAB programming, which can be combined with COMSOL script commands. The modules are combined into one MATLAB project, and iteration process necessary for the optimization of EM system can be performed efficiently. During the design process, visual feedback of the current design status is given to the designer. In addition, the B-Spline parametrization of the nodal points is implemented to obtain smooth boundary of the device. The developed software is applied to the problem of finding uniform flux density distribution at the air gap of an electromagnet to verify its feasibility and effectiveness.

Interpolator Design for Cubic Parallel Manipulator (육면형 병렬공작기계의 보간기 설계)

  • Kim, H.;Hong, D.;Choi, W. C.;Song, J.-B.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2001.04a
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    • pp.492-495
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    • 2001
  • In order to utilize a parallel machine tool for CAM system, the development of adequate interpolator is necessary. This paper presents a quintic B-spline interpolator with algorithm of limiting maximum interpolation error. The favored property of near arc-length parametrization in the curve representation is used in the implementation of the reference command generation. Then, this interpolator is applied to cubic parallel manipulator to show its validity.

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Understanding reionization and cosmic dawn with galaxies and 21-cm

  • Park, Jaehong;Mesinger, Andrei;Greig, Bradley
    • The Bulletin of The Korean Astronomical Society
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    • v.43 no.1
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    • pp.38.3-38.3
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    • 2018
  • The properties of unseen high-redshift sources (and sinks) are encoded in the 3D structure of the cosmic 21-cm signal. Here I introduce a flexible parametrization for high-z galaxies' properties, including their star formation rates, ionizing escape fraction and their evolution with the mass of the host dark matter halos. With this parametrization, I self-consistently calculate the corresponding 21-cm signal during reionization and the cosmic dawn. Using a Monte Carlo Markov Chain sampler of 3D simulations, 21CMMC, I demonstrate how combining high-z luminosity functions with a mock 21-cm signal can break degeneracies, resulting in ~ percent level constraints on early universe astrophysics.

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Design of Adaptive Regulator for a Nonlinear Uncertain System (불확실성을 갖는 비선형 시스템의 적응 제어기 설계)

  • Jin, Ju-Wha;Yu, Kyung-Tak;Son, Young-Ik;Seo, Jin-Heo
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.48 no.2
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    • pp.153-158
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    • 1999
  • We consider single-input nonlinear systems with unknown unmodelled time-varying parameters or disturbances which are bounded. The main goal is to identify classes of uncertain systems for which the control exist and to provide constructive design procedures. Assuming that the undisturbed nominal system ( ,g) is partially state feedback linearizable, that a strict triangularity condition, a linear parametrization condition, and {{{{ { G}_{r-1 } }}}} hold for the uncertain terms, and that some condition is satisfied in the transformed partially linear system, we design an adaptive regulating dynamic control. At first, we identify classes of nonlinear uncertain systems and give a systematic procedure for the design of a robust regulation for the nonlinear systems.

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