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Please use this identifier to cite or link to this item: https://digital.lib.ueh.edu.vn/handle/UEH/62249
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dc.contributor.authorTuan N.M.-
dc.contributor.otherPhuong T. V.-
dc.contributor.otherDo T. H.-
dc.contributor.otherVu Khanh N. T.-
dc.date.accessioned2021-09-05T02:41:44Z-
dc.date.available2021-09-05T02:41:44Z-
dc.date.issued2021-
dc.identifier.isbn9781665418430-
dc.identifier.urihttp://digital.lib.ueh.edu.vn/handle/UEH/62249-
dc.description.abstractThe rise of Internet of things (IoTs) requires new communication technologies to be developed to suit many of its application. In recent years, optical camera communication (OCC) has emerged as a promising candidate for short to middle range communication for IoTs applications. At the moment, OCC is in the early stage of development where both the hardware and software of the OCC system are still being researched and optimized. A simulation framework can significantly accelerate the development process of the OCC system. However, building such a simulation framework is difficulty as it requires multidisciplinary knowledge related to multiple fields such as photometry, camera geometry, digital image acquisition, and optical image communication. In this study, the principles and requirements of these multidisciplinary domain are integrated to build a highly realistic framework for OOC system.en
dc.formatPortable Document Format (PDF)-
dc.language.isoeng-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.relation.ispartof2021 21st ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD-Winter)-
dc.rightsIEEE-
dc.subjectIntegrated opticsen
dc.subjectOptical fiber networksen
dc.subjectOptical variables controlen
dc.subjectOptical imagingen
dc.subjectCamerasen
dc.subjectInternet of Thingsen
dc.subjectPhotometryen
dc.titleAn highly realistic optical camera communication simulation framework for Internet of Things applicationsen
dc.typeConference Paperen
dc.identifier.doihttps://doi.org/10.1109/SNPDWinter52325.2021.00058-
dc.format.firstpage240-
dc.format.lastpage242-
item.fulltextOnly abstracts-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairetypeConference Paper-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
Appears in Collections:Conference Papers
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