지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- Korean Institute of Information Scientists and Engineers Journal of Computing Science and Engineering Journal of Computing Science and Engineering Vol.16 No.4
- 발행연도
- 2022.12
- 수록면
- 233 - 243 (11page)
- DOI
- 10.5626/JCSE.2022.16.4.233
이용수
초록· 키워드
오류제보하기
In this study, a novel orthogonal graph layout algorithm was proposed to efficiently represent the connection relationship between each node in power system data. The proposed layout algorithm is a four-stage algorithm. First, clustering was performed based on the connection relationship between nodes, and the obtained clusters were placed close to squares by using the squarified treemap technique to fully utilize the given space. Next, adjacent nodes were arranged in a snakelike order in each cluster according to the characteristics of the IEEE test system data. The links were then arranged according to the positional relationship of the pairs of connected nodes. Each node had several ports so that links could be distributed evenly according to the direction of the links. A case in which all nodes were arranged orthogonally in an arbitrary manner without performing clustering; a case in which adjacent nodes within each cluster were arranged in arbitrary order after only performing clustering; and a case where adjacent nodes within each cluster were arranged in row-major order after only performing clustering were compared. The results revealed that the proposed method considerably improved edge crossing, edge bending, and edge length.
목차
Abstract
I. INTRODUCTION
II. RELATED WORK
III. IEEE TEST CASE DATA
IV. GRAPH LAYOUT ALGORITHM
V. EVALUATION AND ANALYSIS OF THE LAYOUT RESULTS
VI. DISCUSSION
VII. CONCLUSION AND FUTURE WORK
REFERENCES
참고문헌 (22)
참고문헌 신청
R. Christie, “Power systems test case archive,” 1993 [Online]. Available: https://labs.ece.uw.edu/pstca/pf118/pg_tca118bus.htm.
PowerWorld Corporation [Online]. Available: https://www.powerworld.com/.
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M. Franz, C. T. Lopes, G. Huck, Y. Dong, O. Sumer, and G. D. Bader, “Cytoscape.js: a graph theory library for visualisation and analysis,” Bioinformatics, vol. 32, no. 2, pp. 309-311, 2016.
Y. Wang, Z. Jin, Q. Wang, W. Cui, T. Ma, and H. Qu, “DeepDrawing: a deep learning approach to graph drawing,” IEEE Transactions on Visualization and Computer Graphics, vol. 26, no. 1, pp. 676-686, 2020.
M. Franz, C. T. Lopes, G. Huck, Y. Dong, O. Sumer, and G. D. Bader, “Cytoscape.js: a graph theory library for visualisation and analysis,” Bioinformatics, vol. 32, no. 2, pp. 309-311, 2016.
Y. Wang, Z. Jin, Q. Wang, W. Cui, T. Ma, and H. Qu, “DeepDrawing: a deep learning approach to graph drawing,” IEEE Transactions on Visualization and Computer Graphics, vol. 26, no. 1, pp. 676-686, 2020.
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