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Querying simplexes in quasi-triangulation
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kim, Deok-Soo | - |
| dc.contributor.author | Kim, Jae-Kwan | - |
| dc.contributor.author | Cho, Youngsong | - |
| dc.contributor.author | Kim, Chong-Min | - |
| dc.date.accessioned | 2022-07-16T16:48:41Z | - |
| dc.date.available | 2022-07-16T16:48:41Z | - |
| dc.date.issued | 2012-02 | - |
| dc.identifier.issn | 0010-4485 | - |
| dc.identifier.issn | 1879-2685 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/166349 | - |
| dc.description.abstract | Given a quasi-triangulation, the dual structure of the Voronoi diagram of a molecule, querying its simplexes of a particular bounding state for the spherical probe of a given radius occurs frequently. The beta-complex and the beta-shape are such examples with various applications for reasoning the spatial structure of molecules. While such simplexes can be found by linearly scanning all simplexes in the quasi-triangulation, it is desirable to do the query faster. This paper introduces the Q2P-transformation that transforms the simplex query problem in the three-dimensional space to the orthogonal range search problem of points in another three-dimensional space. Based on this observation, we show that the kd-tree data structure suits very well for developing efficient query algorithms for the quasi-triangulation of molecules using the set of sixteen primitive and the set of ten high-level query operators. In particular, the proposed method shows an extremely efficient performance for incremental queries. A subset of the presented observations facilitates efficient simplex queries for any simplicial complexes including the Delaunay and regular triangulations. | - |
| dc.format.extent | 14 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Pergamon Press Ltd. | - |
| dc.title | Querying simplexes in quasi-triangulation | - |
| dc.type | Article | - |
| dc.publisher.location | 영국 | - |
| dc.identifier.doi | 10.1016/j.cad.2011.09.010 | - |
| dc.identifier.scopusid | 2-s2.0-81855199036 | - |
| dc.identifier.wosid | 000298723300001 | - |
| dc.identifier.bibliographicCitation | CAD Computer Aided Design, v.44, no.2, pp 85 - 98 | - |
| dc.citation.title | CAD Computer Aided Design | - |
| dc.citation.volume | 44 | - |
| dc.citation.number | 2 | - |
| dc.citation.startPage | 85 | - |
| dc.citation.endPage | 98 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | sci | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Computer Science | - |
| dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
| dc.subject.keywordPlus | PARTICLE SWARM OPTIMIZATION | - |
| dc.subject.keywordPlus | VORONOI-DIAGRAM | - |
| dc.subject.keywordPlus | 3D BALLS | - |
| dc.subject.keywordPlus | SEARCH | - |
| dc.subject.keywordPlus | PROTEINS | - |
| dc.subject.keywordPlus | SURFACES | - |
| dc.subject.keywordPlus | SHAPES | - |
| dc.subject.keywordAuthor | Voronoi diagram of spheres | - |
| dc.subject.keywordAuthor | Beta-shape | - |
| dc.subject.keywordAuthor | Beta-complex | - |
| dc.subject.keywordAuthor | Quasi-triangulation | - |
| dc.subject.keywordAuthor | Simplex query | - |
| dc.subject.keywordAuthor | Particle proximity | - |
| dc.subject.keywordAuthor | Orthogonal range search | - |
| dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0010448511002430?via%3Dihub | - |
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