Please use this identifier to cite or link to this item: http://dspace.uniten.edu.my/jspui/handle/123456789/355
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dc.contributor.authorMzahm, A.M.en_US
dc.contributor.authorAhmad, M.S.en_US
dc.contributor.authorTang, A.Y.C.en_US
dc.date.accessioned2017-07-25T03:10:59Z-
dc.date.available2017-07-25T03:10:59Z-
dc.date.issued2015-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84937501181&doi=10.1109%2fICIMU.2014.7066634&partnerID=40&md5=b506e44bdfc0a164463237e8feb15506-
dc.identifier.urihttp://dspace.uniten.edu.my:80/jspui/handle/123456789/355-
dc.description.abstractThe Agents of Things (AoT) is a novel concept that unites the physical and cyber worlds and enables things to intelligently interact and communicate with each other. The concept opens new areas for researchers to develop or improve applications for value-added services to humans. It entails analyzing the hardware and software spectrum of computing resources' specifications to implement a comprehensive AoT concept. Consequently, our primary goal in this research is to find optimum reasoning levels to intelligently operate the things. To achieve this goal, we conduct a comprehensive analysis of computing hardware devices and their corresponding software. In this paper, we present and discuss the results of the hardware analysis to identify suitable hardware devices for implementing the AoT concept. © 2014 IEEE.en_US
dc.language.isoenen_US
dc.subjectAgents of Thingsen_US
dc.subjectHardware Devicesen_US
dc.subjectOptimum Reseaning Levelen_US
dc.titleComputing hardware analysis for Agents of Things (AoT) applicationsen_US
dc.typeConference Paperen_US
dc.relation.conference6th International Conference on Information Technology and Multimediaen_US
dc.identifier.doi10.1109/ICIMU.2014.7066634-
dc.identifier.scopus2-s2.0-84937501181-
item.grantfulltextnone-
item.fulltextNo Fulltext-
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