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An analytical model for delivery evaluation of multimodal contents in pervasive computing

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dc.contributor.authorShin, Dongmin-
dc.contributor.authorHur, Sun-
dc.contributor.authorLee, Hyun-
dc.contributor.authorNam, Jingyu-
dc.contributor.authorJung, Jae-Yoon-
dc.date.accessioned2021-06-23T13:05:37Z-
dc.date.available2021-06-23T13:05:37Z-
dc.date.created2021-01-21-
dc.date.issued2010-06-
dc.identifier.issn0166-3615-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/39787-
dc.description.abstractRecent advance of mobile and interactive devices, such as smart phones, PDAs, and handheld computers, enables to deliver multimodal contents based on users and their environments. In pervasive computing. multimodal contents are mainly composed of multiple components which are often delivered from distributed multiple sources. Therefore, how appropriate contents can be provided to users and how computing resources can be effectively exploited are critical issues. In this paper, an analytical model for multi modal contents is developed based on a queueing theory for the purpose of delivery evaluation of the contents. The model can be applied to estimate how delivery parameters of multimodal contents, such as arrival rates, drop rates, and the number of packets, can impact overall the quality of services in terms of temporal aspects. A numerical example of weather information delivery is provided to illustrate the effectiveness of the proposed model. (C) 2009 Elsevier B.V. All rights reserved.-
dc.language영어-
dc.language.isoen-
dc.publisherELSEVIER-
dc.titleAn analytical model for delivery evaluation of multimodal contents in pervasive computing-
dc.typeArticle-
dc.contributor.affiliatedAuthorShin, Dongmin-
dc.contributor.affiliatedAuthorHur, Sun-
dc.identifier.doi10.1016/j.compind.2009.12.009-
dc.identifier.scopusid2-s2.0-77953476291-
dc.identifier.wosid000279217100005-
dc.identifier.bibliographicCitationCOMPUTERS IN INDUSTRY, v.61, no.5, pp.440 - 447-
dc.relation.isPartOfCOMPUTERS IN INDUSTRY-
dc.citation.titleCOMPUTERS IN INDUSTRY-
dc.citation.volume61-
dc.citation.number5-
dc.citation.startPage440-
dc.citation.endPage447-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.subject.keywordPlusINFORMATION-
dc.subject.keywordPlusPERFORMANCE-
dc.subject.keywordPlusNETWORKS-
dc.subject.keywordPlusSCHEME-
dc.subject.keywordPlusDESIGN-
dc.subject.keywordPlusFUSION-
dc.subject.keywordAuthorAnalytical model-
dc.subject.keywordAuthorMultimodal contents-
dc.subject.keywordAuthorContent delivery-
dc.subject.keywordAuthorQueueing theory-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0166361509002176?via%3Dihub-
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ERICA 공학대학 (DEPARTMENT OF INDUSTRIAL & MANAGEMENT ENGINEERING)
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