• 한국실내디자인학회논문집
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• 제19권4호
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• pp.74-81
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• 2010

This study analyzed characteristics of visual circulation in the modern museum architecture while carrying out space syntax and visibility graph analysis side by side in order to solve problems of visitors' movement having been suggested as the point at issue at modern museum architecture that has become big scaled and layering so as to satisfy various social demands. Also, the result of this analysis is same as followings. First, visitors become to watch the exhibition with clear position that can make themselves in right allocation, and thus visual and perceptual confusions were shown as relatively low in case physical position and visual one were matched at major space of atrium type or mediation space. Second, it was appeared a lot at the museum having exhibition space of room type in case the physical position and visual one were not matched. Visual circulation in the exhibition space of room type has a merit of forming the circulation where free selection is possible. However, it have raised concerns that visual passageway of visitors could be in a stalemate or crash at the opening part, not at the exhibition hall. Third, though analysis of space syntax had a merit of analyzing total modern museum architectures having became compounded and big scaled, but it was dropped in reliability from the visual circulation's analysis that was decided by flows of space and time. In contrary, visibility graph analysis was shown as having a merit to analyzing the flows rather than that of total structure, and also appeared as being able to supplement the disadvantage of space syntax in methodology. Upon the above analysis, a lot of architectural elements such as allocation of exhibition hall, location of door and window etc. were appeared as affecting influences to forming visual circulation of visitors, not to mention of allocations of major space, mediation space, and exhibition one. Through this study, various possibilities of quantitative analysis on the visual circulation in the museum architectures can be confirmed. However, this study expects that in-depth subsequent researches objecting to various museums could be realized afterwards because there are still limitations in its analysis.

• Architectural research
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• 제12권1호
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• pp.9-14
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• 2010

The present study explored the applicability of Visibility Graph Analysis (VGA) techniques to workplace design research. Six types of VGA measures in Depthmap encompassing visual connectivity, three types of visual integration, mean depth, and visual entropy were employed for the analysis of individual privacy for task concentration and group relationship behavior in the open-plan office environment. Data comprised 136 workers in 6 open-plan offices filled with low-paneled (1.2-1.5m) cubicle workspaces. For the statistical analysis, Spearman's rho correlations and t-tests were applied for the spatial and behavioral measures. The results showed that workspace VGA measures have a potential to be useful information to account for workers' concentration privacy and, limitedly, also informal relationships with team members. Visual entropy values especially offer reliable information to predict various aspects of office workers' privacy behavior while visual integration can be used to account for the workers' sense of trust in group relations. The study also discussed the limitation of VGA applications to the workplace context.

• 터널과지하공간
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• 제18권4호
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• pp.243-251
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• 2008

최근 환경문제 및 법적규제의 강화로 광산의 개발이 노천채광에서 갱내채광으로 전환됨에 따라 지하채굴 공동의 안정성이 광산의 운영 및 생산성 부분에서 최대 관심사로 대두되고 있다. 따라서 본 연구에서는 갱내채광 설계와 안정성 평가의 입력 자료로 활용하기 위해 지질조사, 불연속면 조사, 실내 암석실험, 암반분류를 수행하였으며, 암반분류 결과를 이용하여 무지보로 안정을 유지할 수 있는 채굴 공동과 광주의 규격을 결정하였다. 또한, 경험적 방법(stability graph, 한계 공동폭 곡선)과 3차원 수치해석을 통하여 지하채굴 공동의 안정성을 평가하였다.

• 대한기계학회논문집A
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• 제22권4호
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• pp.801-810
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• 1998

Modeling and analysis of dynamic systems generally demand their resutls to be interpreted each other with a physical sense. It sometimes requires that there should exist a unified tool in the treatment of dynamic systems which can be applied to both their modeling and analysis equally. This paper shows how models just after the progress of modeling via bond graph standards are converted to ones which are appropriate for analyzing a dynamic system in the frequency domain. Four bond graph prototypes are introduced to obtain frequency properties of dynamic systems such as zero stability, relative order, zero and pole dynamics, etc. directly from bond graphs, and the method are proposed which reduces nearly all models of bond graph standards to one of the prototypes without any change of physical similarity. This procedure as a tool for the structural reduction of bond graphs and finding frequency properties of a dynamic system is further investigated to survey its effectiveness through an example.

• 대한원격탐사학회지
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• 제27권6호
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• pp.717-728
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• 2011

An efficient method for the unsupervised classification of high resolution imagery is suggested in this paper. It employs pixel-linking and merging based on the adjacency graph. The proposed algorithm uses the neighbor lines of 8 directions to include information in spatial proximity. Two approaches are suggested to employ neighbor lines in the linking. One is to compute the dissimilarity measure for the pixel-linking using information from the best lines with the smallest non. The other is to select the best directions for the dissimilarity measure by comparing the non-homogeneity of each line in the same direction of two adjacent pixels. The resultant partition of pixel-linking is segmented and classified by the merging based on the regional and spectral adjacency graphs. This study performed extensive experiments using simulation data and a real high resolution data of IKONOS. The experimental results show that the new approach proposed in this study is quite effective to provide segments of high quality for object-based analysis and proper land-cover map for high resolution imagery of urban area.

• 지식경영연구
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• 제10권2호
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• pp.35-48
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• 2009

The paper proposes a quantitative causal ordering map (QCOM) to combine qualitative and quantitative methods in a framework. The procedures for developing QCOM consist of three phases. The first phase is to collect partially known causal dependencies from experts and to convert them into relations and causal nodes of a model graph. The second phase is to find the global causal structure by tracing causality among relation and causal nodes and to represent it in causal ordering graph with signed coefficient. Causal ordering graph is converted into QCOM by assigning regression coefficient estimated from path analysis in the third phase. Experiments with the prediction model of Korea stock price show results as following; First, the QCOM can support the design of qualitative and quantitative model by finding the global causal structure from partially known causal dependencies. Second, the QCOM can be used as an integration tool of qualitative and quantitative model to offerhigher explanatory capability and quantitative measurability. The QCOM with static and dynamic analysis is applied to investigate the changes in factors involved in the model at present as well discrete times in the future.

• 응용통계연구
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• 제6권1호
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• pp.1-11
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• 1993

통계자료분석에서 그래픽에 의한 분석방법은 컴퓨터의 급속한 발전과 더불어 많은 기법이 개발되어 왔으며, 이는 자료에 내포된 정보 및 통계적인 모형선택방법에 유용하게 이용될 수 있다. 개인용 컴퓨터에서 그래픽 자료 분석방법에 다양하게 응용될 수 있는 소프트웨어로서 S-PLUS(version 2.0)를 소개하고, 그래픽기능의 관점에서 SAS/GRAPH(version 6.04)와 비교, 논의하고자 한다.

• ETRI Journal
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• 제38권3호
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• pp.540-550
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• 2016

Spectral clustering is a powerful tool for exploratory data analysis. Many existing spectral clustering algorithms typically measure the similarity by using a Gaussian kernel function or an undirected k-nearest neighbor (kNN) graph, which cannot reveal the real clusters when the data are not well separated. In this paper, to improve the spectral clustering, we consider a robust similarity measure based on the shared nearest neighbors in a directed kNN graph. We propose two novel algorithms for spectral clustering: one based on the number of shared nearest neighbors, and one based on their closeness. The proposed algorithms are able to explore the underlying similarity relationships between data points, and are robust to datasets that are not well separated. Moreover, the proposed algorithms have only one parameter, k. We evaluated the proposed algorithms using synthetic and real-world datasets. The experimental results demonstrate that the proposed algorithms not only achieve a good level of performance, they also outperform the traditional spectral clustering algorithms.

• 한국언어정보학회:학술대회논문집
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• 한국언어정보학회 2007년도 정기학술대회
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• pp.321-329
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• 2007

This paper reports on the application of network analysis approaches to investigate the characteristics of graph representations of Japanese word associations. Two semantic networks are constructed from two separate Japanese word association databases. The basic statistical features of the networks indicate that they have scale-free and small-world properties and that they exhibit hierarchical organization. A graph clustering method is also applied to the networks with the objective of generating hierarchical structures within the semantic networks. The method is shown to be an efficient tool for analyzing large-scale structures within corpora. As a utilization of the network clustering results, we briefly introduce two web-based applications: the first is a search system that highlights various possible relations between words according to association type, while the second is to present the hierarchical architecture of a semantic network. The systems realize dynamic representations of network structures based on the relationships between words and concepts.

• 한국주거학회논문집
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• 제18권2호
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• pp.121-128
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• 2007

The investigation of the apartment housing as a dwelling type has become the most important and popular research subject to understand the housing culture in Korea. In their methods of typological analysis, it is found that most studies represent each unit plan as a simplified architectural drawing. This type of typology, however, has difficulties in processing a large scale of data set because each representation of a plan contain too many informations. To deal with this problem, this study suggests a new graph-theoretical method by which apartment plans can be represented in a more simple and effective way. This new method is also tested against the sample plans from Gangnam-gu area in Seoul to reveal the design logic hidden in plan configuration. Through a series of analyses, it is verified that there exist a design strategy that guides the particular pattern of zoning and allocation of each room in the plan.