• 농촌계획
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• 제15권1호
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• pp.1-13
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• 2009

This study tried to establish a renewal guideline for rural villages through the analysis on locational characteristics of amenity/disamenity elements. Space Syntax Method was applied to analyze the locational characteristics of amenity/disamenity elements in qualitative terms. The study was carried out by 5 steps: Selection of amenity/disamenity classification table and case study villages(used same ones as in the previous study) ${\rightarrow}$ Drawing of base-map for spatial analysis ${\rightarrow}$ Preparation of final study-map after field survey ${\rightarrow}$ Spatial analysis using the Space Syntax Method ${\rightarrow}$ Proposing of a rural village renewal guideline. Through the application study to the case study villages, it was ascertained that the renewal guideline proposed in this study would well help reflect spatial characteristics of amenity/disamenity elements in plan-making works of rural villages.

• 대한기계학회논문집A
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• 제25권12호
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• pp.2040-2047
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• 2001

In this paper, a singularity problem of the state transition matrix is investigated in the spatial propagation when the spatial matrix differential equation is constructed via time finite element analysis. A parametric study shows that the degree of singularity of the state transition matrix depends on the degree of flexibility of the structures. As an alternative to avoid the numerical problems due to the singularity, an analytic solution fur spatial propagation of the flexible structures is proposed. In the proposed method, the spatial properties of the structure are analytically expressed by a combination of transcendental functions. The analytic solution serves fast and accurate results by eliminating the possibility of the error accumulation caused by the boundary condition. Several numerical examples are shown to validate the effectiveness of the proposed methods.

• Journal of the Korean Data and Information Science Society
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• 제17권1호
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• pp.131-139
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• 2006

Statistical analyses for spatial data are important features for various types of fields. Spatial data are taken at specific locations or within specific regions and their relative positions are recorded. Lattice data are synoptic observation covering an entire spatial region, like cancer rates corresponding to each county in a state. The main purpose of this paper is to detect hotspots for the region with significantly high or low rates. Kulldorff(1997) detected hotspots based on circular spatial scan statistics. We propose a new method to find any shapes of hotspots by use of echelon analysis with spatial scan statistics.

• 대한원격탐사학회지
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• 제21권3호
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• pp.213-219
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• 2005

In the Korean seas, Sea Surface Temperature (SST) and Thermal ronts (TF) were analyzed temporally and spatially during 8 years from 1993 to 2000 using NOAA/AVHRR MCSST. In the application of EOF analysis for SST, the variance of the 1st mode was 97.6%. Temporal components showed annual variations, and spatial components showed that where it is closer to continents, the SST variations are higher. Temporal components of the 2nd mode presented higher values of 1993, 94 and 95 than those of other years. Although these phenomena were not remarkable, they could be considered ELNI . NO effects to the Korean seas as the time was when ELNI . NO occurred. The Sobel Edge Detection Method (SEDM) delineated four fronts: the Subpolar Front (SPF) separating the northern and southern parts of the East Sea; the Kuroshio Front (KF) in the East China Sea, the South Sea Coastal Front (SSCF) in the South Sea, and the Tidal Front (TDF) in the West Sea. TF generally occurred over steep bathymetry slopes, and spatial components of the 1st mode in SST were bounded within these frontal areas. EOF analysis of SST gradient values revealed the temporal and spatial variations of the TF. The SPF and SSCF were most intense in March and October; the KF was most significant in March and May.

• Spatial Information Research
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• 제23권3호
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• pp.79-89
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• 2015

건축물이 일정규모 이상 높아지면 구조설계 시 바람의 영향이 중요한 요인으로 작용하게 된다. 우리나라는 지형적인 특성상 태풍과 같은 위험현상이 자주 발생하는 지역이므로 더욱 중요한 요인이라 할 수 있다. 이러한 시대적 흐름과 기상변화를 고려한다면 건축물의 합리적인 내풍설계의 필요성이 더욱 부각되고 있다. 본 연구에서는 1:5,000 수치지형도를 바탕으로 공간정보분석을 이용하여 설계풍하중 산정방법을 제시하였으며 실제 적용사례와 비교분석 하였다. 제안된 방법으로 풍속고도분포계수, 지형계수를 산정할 경우 보다 정량적, 객관적으로 설계풍속을 산정할 수 있었으며 기존의 방법과 비교했을 때 평가에 필요한 시간과 비용을 단축할 수 있을 것으로 기대되 건축물의 합리적이고 경제적인 내풍설계에 도움이 될 것으로 기대된다.

• International Journal of Naval Architecture and Ocean Engineering
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• 제12권1호
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• pp.376-386
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• 2020

The aim of this study was to develop a new efficient strategy that uses the Vector form Intrinsic Finite-element (VFIFE) method to conduct the static and dynamic analyses of marine pipes. Nonlinear problems, such as large displacement, small strain, and contact and collision, can be analyzed using a unified calculation process in the VFIFE method according to the fundamental theories of point value description, path element, and reverse motion. This method enables analysis without the need to integrate the stiffness matrix of the structure, because only motion equations of particles established according to Newton's second law are required. These characteristics of the VFIFE facilitate the modeling and computation efficiencies in analyzing the nonlinear dynamic problem of flexible pipe with large deflections. In this study, a three-dimensional (3-D) dynamical model based on 3-D beam element was established according to the VFIFE method. The deep-sea flexible pipe was described by a set of spatial mass particles linked by 3-D beam element. The motion and configuration of the pipe are determined by these spatial particles. Based on this model, a simulation procedure to predict the 3-D dynamical behavior of flexible pipe was developed and verified. It was found that the spatial configuration and static internal force of the mining pipe can be obtained by calculating the stationary state of pipe motion. Using this simulation procedure, an analysis was conducted on the static and dynamic behaviors of the flexible mining pipe based on a 1000-m sea trial system. The results of the analysis proved that the VFIFE method can be efficiently applied to the static and dynamic analyses of marine pipes.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 1996년도 가을 학술발표회 논문집
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• pp.195-201
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• 1996

This paper is mainly forcused on the application of modal analysis In analyze the geometrically non-linear buckling behaviors of large span spatial structures, and the evaluation of each eigen mode affected post-buckling behaviors and buckling loads. Modal analysis is applied . to derivation of the system matrices transforming actual displacement space into generalized coordinates space represented by coefficients multiplied in the linear combination of eigen modes which are independent and orthogonal each other. By using modal analysis method, it will be expected to save the calculating time by computer extremely. For example, we can obtain the satisfactorily good results by using about 7% of total eigen modes only in case of single layer latticed dome. And we can decrease the possibility of divergence on the bifurcation point in the calculation of post-buckling path. Arc-length method and Newton-Raphson iteration method are used to calculate the nonlinear equilibrium path.

• 한국공간정보시스템학회 논문지
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• 제9권3호
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• pp.1-16
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• 2007

공간 데이터 웨어하우스는 공간 의사결정을 지원하는 시스템으로 공간 데이터 큐브를 이용한다. 공간 데이터 큐브에는 분석의 기준이 되는 공간 차원테이블과 분석의 대상이 되는 공간 사실테이블들로 구성되는데 의사결정 지원을 위해서는 공간 차원테이블의 개념계층 지원과 공간 사실테이블의 요약정보 제공이 필요하다. 그러나 기존의 연구들은 공간 개념계층에 대해서만 연구하였을 뿐 공간 요약정보에 대한 연구가 미비하였다. 따라서 본 논문에서는 공간 데이터 웨어하우스에서 공간 공간 요약정보를 위한 공간 집계연산에 대하여 제안한다. 본 논문에서는 공간 집계연산을 숫자화 집계연산과 객체화 집계연산으로 나누어 제안한다. 숫자화 집계연산은 공간 분석의 결과로 숫자 형태의 데이터를 반환하며, 객체화 집계연산은 공간 객체 형태로 결과를 반환한다. 본 논문에서는 확장된 공간 데이터 자료구조를 제공하여 공간 집계연산의 효율성을 높인다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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• pp.128-132
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• 2002

One of the fundamental components important to the analysis of spatial objects is to represent topological relationships between spatial features. Users of geographic information systems retrieve a lot of objects from spatial database and analyze their condition by means of topological relationships. The existing methods that represent these relationships have the disadvantage that they have limited information in $R^2$. In this paper, we represent and define the topological relationships between 3-dimensional spatial objects using the several representing methods of 2-dimensional features. We use the diverse representing methods, which include the 4-, 9-intersection, dimension extended and calculus-based method. Furthermore, we discuss OGC's topological relationships and operators for 3-dimensional spatial data.

• 대한건축학회논문집:계획계
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• 제34권6호
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• pp.3-14
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• 2018

The aim of this study is to propose a method for calculating the weight of walking energy in ERAM model by calculating it for the analysis of vertical and horizontal spaces in a building. Conventional theories on the space analysis in the field of architectural planning predict the pedestrian volume of network spaces in urban street or in two-dimensional plane within a building, however, for vertical and horizontal spaces in a building, estimates of the pedestrian volume by those theories are limited. Because in the spatial syntax and ERAM model have been applied weights such as the spatial depth, adjacent angles, and physical distances available only to the two-dimensional same layer or plane. Therefore, the following basic assumptions and analysis conditions in this study were established for deriving a predictor of pedestrian volume in vertical and horizontal spaces of a building. The basic premise of space analysis is not to address the relationship between the pedestrian volume and the spatial structure itself but to the properties of spatial structure connection that human beings experience. The analysis conditions in three-dimensional spaces are as follows : 1) Measurement units should be standardized on the same scale, and 2) The connection characteristics between spaces should influence the accessibility of human beings. In this regard, a factor of walking energy has the attributes to analyze the connection of vertical and horizontal spaces and satisfies the analysis conditions presented in this study. This study has two implications. First, this study has shown how to quantitatively calculate the walking energy after a factor of walking energy was derived to predict the pedestrian volume in vertical and horizontal spaces. Second, the method of calculating the walking energy can be applied to the weights of the ERAM model, which provided the theoretical basis for future studies to predict the pedestrian volume of vertical and horizontal spaces in a building.