• 한국측량학회지
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• 제40권5호
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• pp.429-437
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• 2022

최근 사람과 기계의 소통을 위해 QA (Question Answering) 시스템에 대한 요구가 증가하였다. QA 시스템 중 공간에 관련된 질문을 처리할 수 있는 폐쇄 도메인 QA 시스템을 GeoQA라 하는데 본 연구는 GeoQA 분야에서 주로 사용되던 RDF (Resource Description Framework)기반의 데이터베이스가 데이터 입출력 및 변형에 한계를 보인다는 점을 극복하기 위해 최근 주목받고 있는 새로운 형태의 그래프 데이터베이스인 LPG (Labeled Property Graph)를 사용하였다. 또한, LPG 쿼리(query)언어가 표준화되지 않아 GeoQA 시스템이 특정 제품에 의존할 수 있다는 점 때문에 API 형태의 쿼리 언어인 GraphQL (Graph Query Language)을 도입하여 다양한 LPG를 사용할 방안을 제시하였다. 본 연구에서는 공간 관련 질문이 입력되었을 때 답변을 검색할 수 있도록 대한민국 중심의 별도 데이터베이스를 구축하였는데 각 데이터는 국가공간정보포털 및 지방행정 인허가데이터개방 서비스에서 취득하였으며 각 공간 객체 간 공간적 관계는 미리 계산되어 그래프의 엣지(edge) 형태로 입력되었다. 사용자의 질문은 먼저 FOL (First Order Logic)형태를 거쳐 최종적으로 GraphQL로 변환되며 GraphQL 서버를 통해 데이터베이스에 전달되었다. 실험에 사용한 LPG로는 현재 가장 높은 점유율을 보이는 그래프 데이터베이스인 Neo4j를 선택하였고 내장 함수와 QGIS 일부가 공간 연산에 사용되었다. 시스템 구축 결과 사용자의 질문을 변환, Apollo GraphQL 서버를 통해 처리하고 데이터베이스로부터 적합한 답변을 얻을 수 있음을 확인하였다.

• ETRI Journal
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• 제39권2호
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• pp.255-263
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• 2017

This paper proposes a graph-theatrical approach to optimize spatial reuse by adopting a technique that quantizes the channel information into single bit sub-messages. First, we introduce an interference graph to model the network topology. Based on the interference graph, the computational requirements of the algorithm that computes the optimal spatial reuse factor of each user are reduced to quasilinear time complexity, ideal for practical implementation. We perform a resource allocation procedure that can maximize the efficiency of spatial reuse. The proposed spatial reuse scheme provides advantages in beamforming systems, where in the interference with neighbor nodes can be mitigated by using directional beams. Based on results of system level measurements performed to illustrate the physical interference from practical millimeter wave wireless links, we conclude that the potential of the proposed algorithm is both feasible and promising.

• 한국정보과학회논문지:데이타베이스
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• 제27권2호
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• pp.256-268
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• 2000

GIS에서 사용하는 다중 공간 조인은 두 개 이상의 공간 조인이 중첩된 표현이다. 이는 공간 조인에 비해 보다 많은 수행 사간을 필요로 하는데 이를 빠르게 처리하기 위한 병렬화 알고리즘에 대한 연구가 없었다. 이 논문에서는 다중 공간 조인을 다중 공간 여과와 다중 공간 정제로 나누어서 병렬화한다. 그리고, 정제 단계에서 효율적인 정제 수행을 위해 2단계 실행 방법을 제시하는데, 첫번째가 다중 공간 여과의 결과인 후보 객체 테이블에서 발생하는 객체 및 연산의 중복을 제거하기 위한 그래프 생성이고, 두번째가 그래프의 분할에 의한 병렬 정제이다. 그래프에 의한 정제가 그렇지 않은 방법에 비해 매우 높은 성능 향상을 보였으며 병렬 정제를 위한 태스크 생성 방법은 객체를 정점으로 표현하는 그래프에서의 중복 최소화 분할방법이 가장 좋은 성능을 나타내었다.

• 한국초등과학교육학회지:초등과학교육
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• 제31권4호
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• pp.490-500
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• 2012

This study was to examine elementary male and female students' spatial abilities, science process skills, and graph construction and interpretation abilities in order to understand the effect that their spatial abilities and science process skills would have on their graph abilities. To conduct this study, total 12 classes of 435 pupils, 6 classes each from grades 5 and 6 in elementary schools were selected for subjects. The number of male student was 207 and that of female one was 228 of them. And previous test papers of spatial abilities, of science process abilities, and of graph abilities were retouched and updated for reuse in new tests. The results of this study are briefed as follows: Firstly, when spatial abilities for male and female group were compared, female group showed a little higher rate of correct answering than male, but not providing statistically significant gap. Secondly, the science process skill tests revealed basic process skills of both groups were more excellent than their integrated process skills, while female group was found to have more correct answers than male, all of which were proving statistical distinction. Thirdly, of graphing skills for two groups, the graph interpretation skills turned out to be better than the graph construction skills, with female group scoring higher than male and with meaningful difference. Fourthly, both between spatial abilities and graph abilities, and between science process skills and graph abilities, static correlations existed with statistical meaning. In other words, those with higher spatial abilities or science process skills were to do better in constructing and interpreting graphs.

• Architectural research
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• 제17권2호
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• pp.57-64
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• 2015

In architectural planning, previous cases of similar spatial program provide important data for architectural design. Case-based reasoning (CBR) paradigm in the field of architectural design is closely related to the designing behavior of a planner who makes use of similar architectural designs and spatial programs in the past. In CBR, spatial graph can be constituted with most fundamental data, which can provide a method of searching spatial program by using visual graphs. This study developed a system for CBR that can analyze the similarity through graph comparison and search for buildings. This is an integrated system that is able to compare space similarity of different buildings and analyze their types, in addition to the analysis on a space within a single structure.

• 한국지리정보학회지
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• 제26권3호
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• pp.12-36
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• 2023

그래프 데이터베이스는 다양한 유형의 데이터와 그 관계를 그래프로 모델링하여 적재하기 때문에 복잡한 관계로 연결될 수 있는 부동산 데이터를 관리하고 분석하는데 효과적일 수 있으나, 현재 제공되는 그래프 데이터베이스의 제한적인 공간 기능으로 인해 활발히 활용되지 못하고 있다. 이러한 배경에서, 본 연구에서는 다양한 부동산 공간 관련 질문들에 대응할 수 있도록 그래프 데이터베이스를 활용한 Uniform Grid 기반 부동산 공간 데이터 관리 방안을 제안한다. 핵심 데이터를 선정하기 위하여 부동산 커뮤니티의 관련 질의를 분석하였으며, 국가지점번호를 단위 Grid로 설정하고 다양한 부동산 관련 데이터들을 연결한 그래프 스키마를 구성하여 테스트 데이터베이스를 구축하였다. 데이터베이스 검증을 위해, Jackpine 벤치마크를 활용하여 기본 위상관계 및 공간함수를 테스트하였고, 나아가 다양한 시나리오 기반 질의 테스트를 수행함으로써 제안한 방법의 적절성을 검증하고자 하였다. 그 결과, 제안한 방법은 총 29개의 공간 위상관계와 공간함수 중 25개의 기능을 성공적으로 수행하였고, 25개의 기능과 15개의 시나리오에 대해 약 97%의 정확도를 달성하였다. 본 연구는 그래프 데이터베이스의 제한적인 공간 기능을 고려하여, 부동산 관련 공간 질문에 대응할 수 있는 효율적인 데이터 통합방안을 제안하였다는 점에서 의의를 가진다. 그러나 그리드 기반 인덱스 사용으로 인한 잘못된 공간 위상관계 생성 문제 및 리스트 비교에 따른 질의의 비효율성에 대한 한계점이 존재하며, 이는 후속 연구에서 개선할 필요가 있다.

• 의료ㆍ복지 건축 : 한국의료복지건축학회 논문집
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• 제21권3호
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• pp.25-35
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• 2015

Purpose: Signs that are installed at unnoticeable places or that disconnect before the destination can bring errors of location information delivery. Therefore, this study aims to find out the spatial relation between structure of space and signs in the perspective of visual exposure possibility, operating arrangement and assesment by applying spatial structure theory. Methods: Effectiveness of organization of guidance signs was evaluated after the four way-finding factors(Plan Configuration, Sign System, Perceptual Access, Architectural Difference) that G.D.Weisman suggested were interpreted by spatial structure theory(J-Graph analysis, Space Syntax, Visual Graph Analysis) under the premise that it is closely related to the structure of space. Results: 1) Because the south corridor that connects each department of outpatient division is located in the hierarchy center of the space, and walking density is expected to be high, guidance signs need to be organized at the place with high integration value. 2) The depth to the destination space can be estimated through J-Graph analysis. The depth means a switch of direction, and the guidance signs are needed according to the number. 3) According to visibility graph analysis, visual exposure can be different in the same hierarchy unit space according to the shape of the flat surface. Based on these data, location adjustment of signs is possible, and the improvement effect can be estimated quantitatively. Implications: Spatial structure theory can be utilized to design and evaluate sign systems, and it helps to clearly understand the improvement effect. It is desirable to specify design and estimation of sign systems in the order of J-Graph analysis${\rightarrow}$Space Syntax Theory${\rightarrow}$visibility graph analysis.

• KIEAE Journal
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• 제11권6호
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• pp.95-100
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• 2011

Although Space Syntax is a well-known technique for spatial analysis, debates have taken place among some researchers because the Space Syntax discards geometric information as both shapes and sizes of spaces, and hence may cause some inconsistencies. Therefore, this study aims at developing methods to recognize and manage spatial shapes for more precise space syntax analysis. To reach this goal, this study employed both a graph theory and binary spatial partitioning (BSP) tree to recognize and manage spatial information. As a result, spatial shapes and sizes could be recognized by checking loops in graph converted from spatial shapes of built environment. Each spatial shape could be managed sequentially by BSP tree with hierarchical structure. Through such recognition and management processes, convex maps composed of the fattest and fewest convex spaces could be drawn. In conclusion, we hope that the methods developed here will be useful for urban planning to find appropriate purposes of spaces to satisfy the sustainability of built environment on the basis of the spatial and social relationships in urban spaces.

• 한국공간정보시스템학회 논문지
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• 제11권2호
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• pp.13-18
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• 2009

This paper presents the implementation procedure of encoding and decoding algorithms for Tornado code that can provide fault tolerance for storage and transmission system. The degree distribution satisfying heavy tail distribution is produced. Based on this distribution, a good random irregular bipartite graph is attained after plenty of trails. Such graph construction is proved to be efficient, and the experiments also demonstrate that the implementation obtains good performance in terms of decoding overhead.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권5호
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• pp.1909-1928
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• 2020

Predicting human mobility has always been an important task in Location-based Social Network. Previous efforts fail to capture spatial dependence effectively, mainly reflected in weakening the location topology information. In this paper, we propose a neural network-based method which can capture spatial-temporal dependence to predict the next location of a person. Specifically, we involve a graph convolutional network (GCN) based on a seq2seq framework to capture the location topology information and temporal dependence, respectively. The encoder of the seq2seq framework first generates the hidden state and cell state of the historical trajectories. The GCN is then used to generate graph embeddings of the location topology graph. Finally, we predict future trajectories by aggregated temporal dependence and graph embeddings in the decoder. For evaluation, we leverage two real-world datasets, Foursquare and Gowalla. The experimental results demonstrate that our model has a better performance than the compared models.