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Rough set theory is a well established tool for dealing with inconsistent data. The dependencies among the attributes, their significance, and evaluation can easily be performed using intelligent data analysis tool viz., rough set theory. The objective of this article is to modify the existing stock market predictive model based on rough set approach by A.E Hassanien et al. and to construct a data...
Due to the continued scaling down of the semiconductor process technology, the necessity for variation aware leakage estimation is being emphasized today. Several statistical leakage estimation (SLE) methods have been proposed to deal with the process variation. The state-of-the art SLE methods show pretty accurate results when the BSIM3 transistor model is used. However, because the variation of...
Speculation execution model which executes sequential programs in parallel through speculation is an effective technique for making better use of growing on-chip resources and exploiting more instruction-level parallelism of applications. However, accompanied high communication overheads and roll-back penalties can not be neglected. This paper focuses on analyzing the feasibility of aggressive speculation...
In this paper, we present a scheme of steganalysis of JPEG images with the use of polynomial fitting and computational intelligence techniques. Based on the Generalized Gaussian Distribution (GGD) model in the quantized DCT coefficients, the errors between the logarithmic domain of the histogram of the DCT coefficients and the polynomial fitting are extracted as features to detect the adulterated...
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