• The Journal of the Korea Contents Association
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• v.22 no.6
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• pp.56-68
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• 2022

Recently, as the demand for real-time processing increases, studies on a dynamic graph that changes over time has been actively done. There is a connected components processing algorithm as one of the algorithms for analyzing dynamic graphs. GPUs are suitable for large-scale graph calculations due to their high memory bandwidth and computational performance. However, when computing the connected components of a dynamic graph using the GPU, frequent data exchange occurs between the CPU and the GPU during real graph processing due to the limited memory of the GPU. The proposed scheme utilizes the Weighted-Quick-Union algorithm to process large-scale graphs on the GPU. It supports fast connected components computation by applying the size to the connected component label. It computes the connected component by determining the parts to be recalculated and minimizing the data to be transmitted to the GPU. In addition, we propose a processing structure in which the GPU and the CPU execute asynchronously to reduce the data transfer time between GPU and CPU. We show the excellence of the proposed scheme through performance evaluation using real dataset.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.2
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• pp.415-420
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• 2016

A graph G=(V,E) is called an interval graph with a set V of vertices representing intervals on a line such that there is an edge $(i,j){\in}E$ if and only if intervals i and j intersect. In this paper, we are concerned in the vertex connectivity, one of various characteristics of the graph. Specifically, the vertex connectivity of an interval graph is represented by the overlapping of intervals. Also we propose an efficient algorithm to compute the vertex connectivity on the fully dynamic environment in which the vertices or the edges are inserted or deleted. Using a special kind of interval tree, we show how to compute the vertex connectivity and to maintain the tree in O(logn) time when a new interval is added or an existing interval is deleted.

• The Korean Journal of Applied Statistics
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• v.27 no.3
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• pp.487-500
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• 2014

The elementary school curriculum includes some statistical concepts and many graphical methods. However, statistical concepts are difficult to understand; consequently, many of those graphs and numerical summaries are obtained by hand. We develop an intuitive statistics education package called Tong-Gramy focused on 5-8 graders to help students and teachers study statistics. This software covers numerical and graphical statistics that appear in 5-8 graders' textbooks. The graphs provided are dynamically linked to data and every graph is linked to every datum. The graphs of Tong-Gramy are dynamic graphs and morphing technology is used where applicable.

• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.438-449
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• 2018

Recently, various graph data have been utilized in various fields such as social networks and citation networks. As the graph changes dynamically over time, it is necessary to manage the graph historical data for tracking changes and retrieving point-in-time graphs. Most historical data changes partially according to time, so unchanged data is stored redundantly when data is stored in units of time. In this paper, we propose a graph history storage management method to minimize the redundant storage of time graphs. The proposed method continuously detects the change of the graph and stores the overlapping subgraph in intersection snapshot. Intersection snapshots are connected by a number of delta snapshots to maintain change data over time. It improves space efficiency by collectively managing overlapping data stored in intersection snapshots. We also linked intersection snapshots and delta snapshots to retrieval the graph at that point in time. Various performance evaluations are performed to show the superiority of the proposed scheme.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.11
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• pp.2103-2108
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• 2017

For n points $p_i$ on the m-dimensional plane $R^m$ and a fixed range r, consider a set $T_i$ containing points the distances from $p_i$ of which are less than or equal to r. In case m=1, $T_i$ is an interval on a line, it is a circle on a plane when m=2. For the vertices corresponding to the sets $T_i$, there is an edge between the vertices if the two sets intersect. Then this graph is called an intersection graph G. For m=1 G is called a proper interval graph and for m=2, it is called an unit disk graph. In this paper, we are concerned in the intersection graph G(r) when r changes. In particular, we consider the problem to find the minimum r such that G(r)is connected. For this problem, we propose an O(n) algorithm for the proper interval graph and an $O(n^2{\log}\;n)$ algorithm for the unit disk graph. For the dynamic environment in which the points on a line are added or deleted, we give an O(log n) algorithm for the problem.

• Proceedings of the Korea Multimedia Society Conference
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• 2000.11a
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• pp.121-124
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• 2000

하이퍼텍스트 구조를 가진 웹문서들은 HTML 태그를 사용하여 문서들을 링크한다. 웹사이트가 점점 더 커짐에 따라 새로운 웹사이트를 디자인하고, 일일이 웹 페이지들을 만들고 그들간의 링크를 만들어 다시 갱신하는 작업은 몹시도 지루한 작업이 되었다. 웹문서를 그래프로 표현함으로써, 웹 사용자들이 요청한 자료로의 빠른 접근을 가능하게 해 주기 위하여 페이지의 조직을 동적으로 바꾸거나 문서들간의 링크의 구조를 바꾸어 줄 경우 웹사이트 관리를 편리하게 해주는 것이 가능하고, 자동적으로 웹문서들을 재조정하는 것이 가능하다. 본 논문에서는, HTML 문서에서 문서를 연결해주는 태그인 으로 구성된 태그들을 추출하여, 이 태그들을 방향을 가진 링크로 간주하여 웹 페이지들을 그래프로 표현한다. 이 그래프 구조에서 링크를 재조정함으로써 사이트들에서 페이지의 조작을 동적으로 구성하고, 사용자들에게 편리함을 제공하는 링크를 제시한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.07a
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• pp.17-18
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• 2015

본 논문에서는 위키피디아를 이용하여 단어 사이의 유사도와 내포된 연결 단어들에 대한 탐색 기법을 제안 한다. 위키피디아에서 제공하는 API를 이용하여 두 단어 사이를 탐색함으로써, 기존 단어 사이의 유사도를 계산하는 방식보다 더 간단하고 폭 넓은 의미 집단을 포괄할 수 있다. 이는 그래프적 특성에 기반하며 그래프를 구성하는 방식으로써 동적 방식과 정적 방식으로 구성된다.

• Journal of KIISE:Software and Applications
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• v.36 no.1
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• pp.62-69
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• 2009

The purpose of document summarization is to provide easy and quick understanding of documents by extracting summarized information from the documents produced by various application programs. In this paper, we propose a document summarization method that creates and analyzes a connection graph representing the similarity of keyword lists of sentences in a document taking into account the mean length(the number of keywords) of sentences of the document. We implemented a system that automatically generate a summary from a document using the proposed method. To evaluate the performance of the method, we used a set of 20 documents associated with their correct summaries and measured the precision, the recall and the F-measure. The experiment results show that the proposed method is more efficient compared with the existing methods.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06a
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• pp.112-113
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• 2008

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.11
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• pp.2367-2372
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• 2009

Recently, Many studies have been progressing to path-finding adapted dynamic information on the Terminal Based Navigation System(TBNS). The algorithms proposed are based on $A^*$ algorithm. Path-finding algorithms which use heuristic function may occur a problem of the increase of exploring cost. Path-finding with an abstract graph which expresses real road network as a simple graph is proposed for reducing dependency of heuristic and exploring cost. In this paper, two abstract graph that are different method of construction, Homogeneous Node merging($AG^H$) and Connected Node Merging($AG^C$), are implemented. In result of evaluation of performance, $AG^C$ has better performance than $AG^H$ at construction cost and the number of node access but $AG^C$ has worse performance than AGH at exploring cost.