جستجوی مقالات مرتبط با کلیدواژه « correlation » در نشریات گروه « برق »

Side-channel attacks are attacks against cryptographic devices that are based on information obtained by leakage into cryptographic algorithm hardware implementation rather than algorithm implementation. Power attacks are based on analyzing the power consumption of a corresponding input and obtaining access to this method. The power profile of the encryption circuit maintains an interaction with the input to be processed, allowing the attacker to guess the hidden secrets. In this work, we presented a novel architecture of masked logic cells that are resistant to power attacks and have reduced cell numbers. The presented masking cell reduces the relationship between the actual power and the mathematically approximated power model measured by the Pearson correlation coefficient. The security aspect of the logic cell is measured with the correlation coefficient of the person. The proposed mask-XOR and mask-AND cells are 0.0053 and 0.3respectively, much lower than the standard XOR and AND cells of 0.134 and 0.372, respectively.

Optimal power flow is an essential tool in the study of power systems. Distributed generation sources increase network uncertainties due to their random behavior, so the optimal power flow is no longer responsive and the probabilistic optimal power flow must be used. This paper presents a probabilistic optimal power flow algorithm using the Taguchi method based on orthogonal arrays and genetic algorithms. This method can apply correlations and is validated by simulation experiments in the IEEE 30-bus network. The test results of this method are compared with the Monte Carlo simulation results and the two-point estimation method. The purpose of this paper is to reduce the losses of the entire IEEE 30-bus network. The accuracy and efficiency of the proposed Taguchi correlation method and the genetic algorithm are confirmed by comparison with the Monte Carlo simulation and the two-point estimation method. Finally, with this method, we see a reduction of 5.5 MW of losses.

An optimized method for data hiding into a digital color image in spatial domain is provided. The graph coloring theory with different color numbers is applied. To enhance the security of this method, block correlations method in an image is used. Experimental results show that with the same PSNR, the capacity is improved by %8, and also security has increased in the method compared with other methods. In the correlation block-based image method, data hiding capacity of the host image varies according to image type and defined threshold level. In the proposed algorithm, during graph explanation, independent pixels placed side by side were colored. Then, based on “pixel block correlation data hiding” process is done. This method grows the security and capacity of hiding process. Besides, this increases the effects of image format and correlation threshold on security and capacity.

Standard Penetration Test (SPT) is one of the most effective tests for quick and inexpensive evaluation of the mechanical properties of soil layers. Numerous studies have been conducted to evaluate correlations between SPT blow counts (NSPT) and the soil properties such as friction angle (). In this paper, the relation between and in situ parameters of soil including NSPT, effective stress and fine content is investigated for granular soils. In order to demonstrate the relevancy of and corrected SPT blow count (N60), a new polynomial model based on Group Method of Data Handling (GMDH) type neural networks (NN) was used based on a 195 data sets including three soil parameters. That has been recorded after two major earthquakes in Turkey and Taiwan in 1999. This study addresses the question of whether GMDH-type NN is capable to estimate based on specified variables. Results confirm that GMDH-type NN Provide an effective way to recognize data pattern and predict performance over granular soils accurately. Finally, the effect of fine content and effective overburden stress on the correlation of N60 and has been studied by sensitivity analysis.