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Faulty sensor data undermine the usability and reliability of sensor networks. Distributed automatous faulty sensor detection is a critical component of a self-managed and sustainable sensor network. In this paper, we present a new distribution-based optimization approach for distributed faulty data detection. We propose a new statistical measurement mutual divergence as the optimization objective...
The dramatic increase in leakage current, coupled with the swell in process variability in nano-scaled CMOS technologies, has become a major issue for future IC design. Moreover, due to the spread of leakage power values, leakage variability cannot be neglected anymore. In this work an accurate analytic estimation and modeling methodology has been developed for logic gates leakage under statistical...
The neural networks find many applications today in different kinds of real-time working systems. To obtain short execution times and high recognition accuracy in real-time decision-making systems becomes a question of first importance. Therefore, the requirements to the recognition stage in such systems in reference to reduce the reaction time grow up. In the proposed research a new method for optimization...
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