Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Querying simplexes in quasi-triangulation

Full metadata record
DC Field Value Language
dc.contributor.authorKim, Deok-Soo-
dc.contributor.authorKim, Jae-Kwan-
dc.contributor.authorCho, Youngsong-
dc.contributor.authorKim, Chong-Min-
dc.date.accessioned2022-07-16T16:48:41Z-
dc.date.available2022-07-16T16:48:41Z-
dc.date.issued2012-02-
dc.identifier.issn0010-4485-
dc.identifier.issn1879-2685-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/166349-
dc.description.abstractGiven 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.extent14-
dc.language영어-
dc.language.isoENG-
dc.publisherPergamon Press Ltd.-
dc.titleQuerying simplexes in quasi-triangulation-
dc.typeArticle-
dc.publisher.location영국-
dc.identifier.doi10.1016/j.cad.2011.09.010-
dc.identifier.scopusid2-s2.0-81855199036-
dc.identifier.wosid000298723300001-
dc.identifier.bibliographicCitationCAD Computer Aided Design, v.44, no.2, pp 85 - 98-
dc.citation.titleCAD Computer Aided Design-
dc.citation.volume44-
dc.citation.number2-
dc.citation.startPage85-
dc.citation.endPage98-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasssci-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Software Engineering-
dc.subject.keywordPlusPARTICLE SWARM OPTIMIZATION-
dc.subject.keywordPlusVORONOI-DIAGRAM-
dc.subject.keywordPlus3D BALLS-
dc.subject.keywordPlusSEARCH-
dc.subject.keywordPlusPROTEINS-
dc.subject.keywordPlusSURFACES-
dc.subject.keywordPlusSHAPES-
dc.subject.keywordAuthorVoronoi diagram of spheres-
dc.subject.keywordAuthorBeta-shape-
dc.subject.keywordAuthorBeta-complex-
dc.subject.keywordAuthorQuasi-triangulation-
dc.subject.keywordAuthorSimplex query-
dc.subject.keywordAuthorParticle proximity-
dc.subject.keywordAuthorOrthogonal range search-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0010448511002430?via%3Dihub-
Files in This Item
Go to Link
Appears in
Collections
서울 공과대학 > 서울 기계공학부 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE