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Correct and fast sentiment analysis of continuously generated data such as Twitter message is very important for providing real-time customized service to the users. While Naive Bayes Classifier(NBC) is the most popular classifier employed for sentiment analysis, the existing studies on it have been based on single server environment. Consequently, they are not adequate for handling real-time stream...
Wireless sensor networks are widely used for gathering data in an autonomous fashion. Since sensors are power constrained devices, it is quite important for them to minimize the energy consumption. In this paper we propose an energy efficient clustering scheme for self-organizing distributed wireless sensor networks. The proposed scheme self-selects the cluster head by a novel probability function...
Presents a simple model that combines the failure to meet deadlines with hardware/software failures in computing the reliability of a real-time system. We define the performability as the probability of meeting deadlines by real-time tasks in the presence of hardware and software failures. Deadline-driven schedules rely on worst-case task execution time. This may be necessary for hard real-time systems,...
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