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Principal component analysis (PCA) has been widely utilized for process monitoring owing to its simplicity, easy understanding and high efficiency in dealing with large numbers of process variables. Aimed at its disadvantages including relatively low detectability, this paper mainly presents a modified PCA (MPCA) approach based on the combination of the two test statistics for process monitoring....
As an emerging technique for signal processing, compressed sensing (CS) is being widely used in wireless sensor networks (WSNs). Unlike prior studies only apply CS theory to homogeneous WSNs, we develop a new data gathering algorithm based on CS for a particular heterogenous WSN. The main challenge of our scheme is how to combine CS with the heterogenous characteristic of the network. To solve this...
In large network environments multiple intrusion detection sensors are needed to adequately monitor network traffic. However, deploying and managing additional sensors on a large network can be a demanding task, and organizations have to balance their desire for detecting intrusions throughout their network with financial and staffing limitations. This paper investigates how intrusion detection system...
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