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The rising complexity of network anomalies necessitates increased attention to developing new techniques for detecting those anomalies. The majority of current network and security monitoring tools utilize a signature-based approach to detect anomalies. This approach must be complemented with other methods to widen the coverage and speed of anomaly detection. In recent years, a great deal of effort...
In this paper, a frequency domain feature extraction algorithm for face recognition is proposed, which efficiently exploits the local spatial variations in a face image. For the purpose of feature extraction, instead of considering the entire face image, an entropy-based local band selection criterion is developed, which selects high-informative horizontal segments from the face image. In order to...
Remote sensing image fusion is a technology to generate new image data using certain algorithms to combine the complementary information in image data obtained by the same/different remote sensor after these data's preprocess. It finds the missing spatial information in the multi-spectral images using the panchromatic ones and transfers this information into the multi-spectral images; finally producing...
Indices based on correlation or more subtle strategies are among the standard ways to infer dependencies (i.e., exchange of information or coupling) in aggregations of different systems observed in the time domain. We propose a new index based on Renyi entropy and confront it with other indices, studying if some of these techniques can recognize when we are observing the same system twice, even when...
The aim of this paper is to monitor the bearing damage developing by vibration signals measured from induction motors subjected to bearing fluting aging. The vibration signals taken from the accelerometers were analyzed by principal component analysis (PCA) and computed their spectra to denote the progressing of the aging. Meanwhile, using the principal component (PC) results, the entropy values based...
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