• Title/Summary/Keyword: three-dimensional space

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Exploration of Isovist Fields to Model 3D Visibility With Building Facade

  • Chang, Dong-Kuk;Park, Joo-Hee
    • Architectural research
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    • v.13 no.3
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    • pp.19-29
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    • 2011
  • Visibility of a space have been defined in several different ways: such as the axial line covering a convex space, a convex space defining the fattest shape in a space and an Isovist field formed by a field of vision at a given vantage point. Isovist fields are referred to as a descriptive medium to describe a movement by reviewing and analyzing geometric properties in them. Many descriptive methods for analysis of three-dimensional isovist are applied to analyzing the morphological properties in a 3D space more realistically. Although these models are regarded as a more advanced method for describing spatial properties, they have pros and cons such as complex mathematical calculations and somewhat arbitrary calibration in addition to huge consumption of memory space. These difficulties lead to the development of a three-dimensional visual accessibility model that explores the implication of building shape on the calculation of isovist fields drawn on a 2D plane. We propose a conceptual framework of how to measure the isovist field not as a 3D volume but as a combination of 2D plane on the ground with the 3D building shape of it's facade.

A multilevel in space and energy solver for multigroup diffusion eigenvalue problems

  • Yee, Ben C.;Kochunas, Brendan;Larsen, Edward W.
    • Nuclear Engineering and Technology
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    • v.49 no.6
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    • pp.1125-1134
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    • 2017
  • In this paper, we present a new multilevel in space and energy diffusion (MSED) method for solving multigroup diffusion eigenvalue problems. The MSED method can be described as a PI scheme with three additional features: (1) a grey (one-group) diffusion equation used to efficiently converge the fission source and eigenvalue, (2) a space-dependent Wielandt shift technique used to reduce the number of PIs required, and (3) a multigrid-in-space linear solver for the linear solves required by each PI step. In MSED, the convergence of the solution of the multigroup diffusion eigenvalue problem is accelerated by performing work on lower-order equations with only one group and/or coarser spatial grids. Results from several Fourier analyses and a one-dimensional test code are provided to verify the efficiency of the MSED method and to justify the incorporation of the grey diffusion equation and the multigrid linear solver. These results highlight the potential efficiency of the MSED method as a solver for multidimensional multigroup diffusion eigenvalue problems, and they serve as a proof of principle for future work. Our ultimate goal is to implement the MSED method as an efficient solver for the two-dimensional/three-dimensional coarse mesh finite difference diffusion system in the Michigan parallel characteristics transport code. The work in this paper represents a necessary step towards that goal.

Development of an Efficient Processor for SIRAL SARIn Mode

  • Lee, Dong-Taek;Jung, Hyung-Sup;Yoon, Geun-Won
    • Korean Journal of Remote Sensing
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    • v.26 no.3
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    • pp.335-346
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    • 2010
  • Recently, ESA (European Space Agency) has launched CryoSAT-2 for polar ice observations. CryoSAT-2 is equipped with a SIRAL (SAR/interferometric radar altimeter), which is a high spatial resolution radar altimeter. Conventional altimeters cannot measure a precise three-dimensional ground position because of the large footprint diameter, while SIRAL altimeter system accomplishes a precise three-dimensional ground positioning by means of interferometric synthetic aperture radar technique. In this study, we developed an efficient SIRAL SARIn mode processing technique to measure a precise three-dimensional ground position. We first simulated SIRAL SARIn RAW data for the ideal target by assuming the flat Earth and linear flight track, and second accessed the precision of three-dimensional geopositioning achieved by the proposed algorithm. The proposed algorithm consists of 1) azimuth processing that determines the squint angle from Doppler centroid, and 2) range processing that estimates the look angle from interferometric phase. In the ideal case, the precisions of look and squint angles achieved by the proposed algorithm were about -2.0 ${\mu}deg$ and 98.0 ${\mu}deg$, respectively, and the three-dimensional geopositioning accuracy was about 1.23 m, -0.02 m, and -0.30 m in X, Y and Z directions, respectively. This means that the SIRAL SARIn mode processing technique enables to measure the three-dimensional ground position with the precision of several meters.

A Study on the relationship between the multi dimensional integrative model of space experience and space design (공간 경험에 관한 다차원 통합모델과 공간디자인 조형간의 상관성에 관한 연구)

  • Lee, Ji-Young;Kwon, Young-Gull
    • Proceedings of the Korean Institute of Interior Design Conference
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    • 2004.11a
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    • pp.55-60
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    • 2004
  • This paper aims to provide a multi-dimensional integrative model that can give a comprehensive account for human space experience. Human space experience is too complicated phenomenon, so space designer need to understand about mechanism of space cognition. From psychological point of view, I analyze the mechanism that is based on emotional reaction. This model consist of three dimensions: sensory, reflexive, and reflective dimension. Assuming this model, we have attempt the typological analysis to the space by studying human space experience. Finally, the outcome provides how space designer use this effect for application of human experience.

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Critical Review on the Arguments for Building Three-dimensional Cyberspace to Realize Ubiquitous (유비쿼터스 실현을 위한 사이버공간상의 3차원 그래픽 공간 구축론에 대한 비판적 고찰)

  • Choi Chang-Gyu
    • The Journal of the Korea Contents Association
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    • v.6 no.4
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    • pp.81-88
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    • 2006
  • Ubiquitous has been a new issue in information technology field. Some people in GIS(Geographic Information Systems) and urban and regional planning have maintained that not only building three dimensional graphic environment in cyberspace is the key for ubiquitous, but also planners should plan and control the new space. They may believe that ubiquitous would be a mixture or/and combination of real-space and cyberspace. For strengthening their arguments, they should show the character of the space can be related to the three dimensional space and planning the space is possible. This study tried to critically analyze their assertion. After reviewing various articles and studies in multidisciplinary view, this challenging analysis shows those arguments need more sophisticated studies and can limit the character of cyberspace which has made the space prosperous.

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Three-dimensional cure simulation of composite structures by the finite element method (유한요소법을 이용한 복합재 구조물의 3차원 경화 수치모사)

  • Min, Kuoung-Jae;Park, Hoon-Cheol;Yoon, Kwang-Joon
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.30 no.6
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    • pp.39-45
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    • 2002
  • In this paper, a finite element formulation was introduced for the three-dimensional cure simulation of composite structures. Based on the formulation, a three-dimensional finite element code was developed. Numerical examples found in the literatures were solved for code verification. Results from the present analyses agreed well with the measured cure-induced temperatures. Unlike in one or two dimensional analysis, temperature and degree of cure were able to be calculated at any point within composite structures in the present analysis. The finite element program can be used for the cure simulation of composite structures with arbitrary geometry under non-uniform autoclave temperature distribution.

CURVES ORTHOGONAL TO A VECTOR FIELD IN EUCLIDEAN SPACES

  • da Silva, Luiz C.B.;Ferreira, Gilson S. Jr.
    • Journal of the Korean Mathematical Society
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    • v.58 no.6
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    • pp.1485-1500
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    • 2021
  • A curve is rectifying if it lies on a moving hyperplane orthogonal to its curvature vector. In this work, we extend the main result of [Chen 2017, Tamkang J. Math. 48, 209] to any space dimension: we prove that rectifying curves are geodesics on hypercones. We later use this association to characterize rectifying curves that are also slant helices in three-dimensional space as geodesics of circular cones. In addition, we consider curves that lie on a moving hyperplane normal to (i) one of the normal vector fields of the Frenet frame and to (ii) a rotation minimizing vector field along the curve. The former class is characterized in terms of the constancy of a certain vector field normal to the curve, while the latter contains spherical and plane curves. Finally, we establish a formal mapping between rectifying curves in an (m + 2)-dimensional space and spherical curves in an (m + 1)-dimensional space.

Three dimensional static and dynamic analysis of two dimensional functionally graded annular sector plates

  • Asemi, Kamran;Salehi, Manouchehr;Sadighi, Mojtaba
    • Structural Engineering and Mechanics
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    • v.51 no.6
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    • pp.1067-1089
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    • 2014
  • In this paper, three dimensional static and dynamic analyses of two dimensional functionally graded annular sector plates have been investigated. The material properties vary through both the radial and axial directions continuously. Graded finite element and Newmark direct integration methods have been used to solve the 3D-elasticity equations in time and space domains. The effects of power law exponents and different boundary conditions on the behavior of FGM annular sector plate have been investigated. Results show that using 2D-FGMs and graded elements have superiority over the homogenous elements and 1D-FGMs. The model has been compared with the result of a 1D-FGM annular sector plate and it shows good agreement.

Demension reduction for high-dimensional data via mixtures of common factor analyzers-an application to tumor classification

  • Baek, Jang-Sun
    • Journal of the Korean Data and Information Science Society
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    • v.19 no.3
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    • pp.751-759
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    • 2008
  • Mixtures of factor analyzers(MFA) is useful to model the distribution of high-dimensional data on much lower dimensional space where the number of observations is very large relative to their dimension. Mixtures of common factor analyzers(MCFA) can reduce further the number of parameters in the specification of the component covariance matrices as the number of classes is not small. Moreover, the factor scores of MCFA can be displayed in low-dimensional space to distinguish the groups. We propose the factor scores of MCFA as new low-dimensional features for classification of high-dimensional data. Compared with the conventional dimension reduction methods such as principal component analysis(PCA) and canonical covariates(CV), the proposed factor score was shown to have higher correct classification rates for three real data sets when it was used in parametric and nonparametric classifiers.

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