Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2496
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGodewithana, N-
dc.contributor.authorJayasena, K-
dc.contributor.authorNagarawaththa, C-
dc.contributor.authorCroos, P-
dc.contributor.authorHarshanath, S. M. B-
dc.date.accessioned2022-05-27T05:28:37Z-
dc.date.available2022-05-27T05:28:37Z-
dc.date.issued2020-11-
dc.identifier.citationN. Godewithana, K. Jayasena, C. Nagarawaththa, P. Croos, B. Harshanath and J. Alosius, "Historical Places & Monuments Identification System," 2020 IEEE REGION 10 CONFERENCE (TENCON), 2020, pp. 690-695, doi: 10.1109/TENCON50793.2020.9293882.en_US
dc.identifier.issn2159-3450-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/2496-
dc.description.abstractSri Lanka, which is known as “the pearl of the Indian ocean” provides great survival and civilization history dating back to the 3rd century. Most of the archaeological sites are attracted by not only Sri Lankans but also by tourists. When searching for the information about the archaeological sites, there are lack of trusted information sources and smart online platforms. Even though some information is available, no convenient and efficient ways to retrieve them. When trusted information is provided in a user-friendly manner, the value will be added to the Sri Lankan economy. Since the world is driving towards the "E-Era", everything is involved with Information Technology. The proposed system contributes to solve the above problems with Artificial Intelligence & Machine Learning concepts. The system is assisted using four major components namely, image identification, community platform, conversational bot, and image visualization. The image Identification component identifies the archaeological sites using image processing techniques. The community platform gathers trusted information from archaeologists and deep learning techniques are used to deliver that content to the users. The artificial intelligence conversational bot is established to communicate and retrieve available information in a convenient manner. The image visualization component is used to provide reality visualization on archaeological sites using the augmented reality techniques. The techniques and the algorithms are evaluated to deliver better performance with brilliant user experience.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2020 IEEE Region 10 Conference – (TENCON 2020);-
dc.subjectHistorical Placesen_US
dc.subjectMonumentsen_US
dc.subjectIdentification Systemen_US
dc.titleHistorical Places & Monuments Identification Systemen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/TENCON50793.2020.9293882en_US
Appears in Collections:Department of Information Technology-Scopes
Research Papers - Dept of Computer Systems Engineering
Research Papers - IEEE
Research Papers - SLIIT Staff Publications

Files in This Item:
File Description SizeFormat 
Historical_Places_amp_Monuments_Identification_System.pdf
  Until 2050-12-31
516.55 kBAdobe PDFView/Open Request a copy


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