• Title/Summary/Keyword: topological complexity function

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TOPOLOGICAL COMPLEXITY OF SEMIGROUP ACTIONS

  • Yan, Xinhua;He, Lianfa
    • Journal of the Korean Mathematical Society
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    • v.45 no.1
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    • pp.221-228
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    • 2008
  • In this paper, we study the complexity of semigroup actions using complexity functions of open covers. The main results are as follows: (1) A dynamical system is equicontinuous if and only if any open cover has bounded complexity; (2) Weak-mixing implies scattering; (3) We get a criterion for the scattering property.

Hierarchical design resolution control scheme for the systematic generation of optimal candidate designs having various topological complexities (위상복잡도 조절을 위한 설계 해상도 계층적 제어 기법)

  • Seo, Jeong-Hun;Kim, Yoon-Young
    • Proceedings of the KSME Conference
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    • 2003.11a
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    • pp.1310-1315
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    • 2003
  • In many practical engineering design problems, there are some design and manufacturing considerations that are difficult or infeasible to express in terms of an objective function or a constraint. In this situation, a set of optimal candidate designs having different topological complexities, not just a single optimal design, is preferred. To generate systematically such design candidates, we propose a hierarchical multiscale design resolution control scheme. In order to adjust its topological complexity by choosing a different starting resolution level in the hierarchical design space, we propose to employ a general M-band wavelet transform in transforming the original design space into the multiscale design space.

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Landscape Information Visualization of Landscape Potential Index in Hilly Openspace Conservation of Urban Fringe Area (도시주변 녹지경관의 보전.관리에 있어 경관잠재력 지표의 경관정보화와 가시화 연구)

  • Cho, Tong-Buhm
    • Journal of Korean Society of Rural Planning
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    • v.7 no.1 s.13
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    • pp.37-48
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    • 2001
  • The purpose of this study is to suggest the landscape potential index for visualizing landscape information in the conservation of hilly landscape in urban fringe. For the visual and quantitative approach to topological landscape assessment, numerical entity data of DEM(digital elevation model) were processed with CAD-based utilities that we developed and were mainly focused on analysis of visibility and visual sensitivity. Some results, with reference in assessing greenbelt area of Eodeung Mt. in Gwangju, proved to be considerable in the landscape assessment of suburban hilly landscapes. 1) Since the viewpoints and viewpoint fields were critical to landscape structure, randomized 194 points(spatially 500m interval) were applied to assessing the generalized visual sensitivity, we called. Because there were similar patterns of distribution comparing to those by 56 points and 18 Points given appropriately, it could be more efficient by a few viewpoints which located widely. 2) Regressional function was derived to represent the relationships between probabilities of visibility frequency and the topological factors(topological dominance, landform complexity and relational aspect) of target field. 3) Visibility scores of each viewpoint were be calculated by summing the visual sensitivity indices within a scene. The scores to the upper part including ridge line have been more representative to overall distributions of visual sensitivities. Also, with sum of deviations of sensitivity indices from each single point's specific index to the weighting values of view points could be estimated rotationally. 4) The deviational distributions of visual sensitivity classes in the topological unit of target field were proved to represent the visual vulnerability of the landform. 5) Landscape potential indices combined with the visual sensitivity and the DGN(degree of green naturality) were proposed as visualized landscape information distributed by topological unit.

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Filtering Technique to Control Member Size in Topology Design Optimization

  • Kim, Tae-Soo;Kim, Jae-Eun;Jeong, Je-Hyun;Kim, Yoon-Young
    • Journal of Mechanical Science and Technology
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    • v.18 no.2
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    • pp.253-261
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    • 2004
  • A simple and effective filtering method to control the member size of an optimized structure is proposed for topology optimization. In the present approach, the original objective sensitivities are replaced with their relative values evaluated within a filtering area. By adjusting the size of the filtering area, the member size of an optimized structure or the level of its topological complexity can be controlled even within a given finite element mesh. In contrast to the checkerboard-free filter, the present filter focuses on high-frequency components of the sensitivities. Since the present filtering method does not add a penalty term to the objective function nor require additional constraints, it is not only efficient but also simple to implement. Mean compliance minimization and eigenfrequency maximization problems are considered to verify the effectiveness of the present approach.