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In this paper, we present a Failure Prediction System (FPS) using a novel algorithm that extracts frequent anomalous behaviors based on multi-scale trend analysis of multiple network parameters. The proposed Correlation Analysis Across Parameters algorithm (CAAP) utilizes multiple levels of timescale analysis to reveal the frequent anomalous behaviors. The CAAP philosophy is that failures usually...
In this paper, multiple ground vehicles passing through a region that are observed by audio sensor arrays are efficiently classified using a Hierarchical Hidden Markov Model (HHMM). The states in the HHMM contain another HMM which represents a time sequence of the vehicle acoustic signals. The HMM represents the distribution of the output of the HHMM, where The HMM models the features of the continuous...
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