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In many industrial processes, the correlations of multiple variables are complicated. Some variables are correlated and some are weakly correlated with others, which should be considered in process modelling and fault detection. This paper proposes a correlated and weakly correlated fault detection approach, which is mainly based on variable division and independent component analysis (ICA). A few...
The analysis of medical data is not an easy task for health care systems since a comprehensive medical examination is performed with hundreds of parameters. These data come with considerable amount of irrelevant and redundant features. But only a subset of these features are useful for prediction, feature selection plays a significant part in to identify critical features for building prediction models...
We propose an effective attack based on exposure time change and image fusion, called ETC attack. First, the ETC attack simulates a set of images with different exposure time using the watermarked image. Then it applies an image fusion method to blend the multiple images mentioned above and thus generates a new image similar to the original one. In this paper, we describe the rationale of the attack...
Exhaustive, automatic testing of dataflow (esp. mapreduce) programs has emerged as an important challenge. Past work demonstrated effective ways to generate small example data sets that exercise operators in the Pig platform, used to generate Hadoop map-reduce programs. Although such prior techniques attempt to cover all cases of operator use, in practice they often fail. Our SEDGE system addresses...
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