SUMMARYMobile Internet Protocol Television (IPTV) delivers omnipresent multimedia video services through mobile devices, and a cloud system provides services for content integration. This study presents a personalized mobile IPTV system based on a cloud network. The system allows users to browse their favorite multimedia videos in the cloud networks through mobile devices. Without the trouble of repeated and complex searches of multimedia files, the system can automatically search for nearby multimedia data that users are browsing, and reconstruct dispersed video contents through a seamless video reconstruction algorithm (SVRA) for integration into video data for continuous play, thus, becoming a user-friendly mobile IPTV system. The study focuses on the design and implementation of a SVRA, and validation of the accuracy of the theories and the algorithm through the proposed system are presented in this paper. This system was tested and validated with success.
The Internet of Things (IoT) extends and expands the range of the internet by interconnecting Internet and end device networks. As the raising of awareness about IoT, more and more application may applied for various areas. Especially, how to develop intelligent systems for energy saving becomes a new challenge in all circles.This research integrated appliance and activity recognition mechanism for IoT energy management system. It presented a management service layer for the recognition of current household appliances, which not only establishes communication services among various appliances, and deduced human activity conducted for context data using Naive Bayes from the electric appliances in use and the variation of its states. Finally, the proposed system can automatically achieve energy management by controlling electric appliances.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.