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Search for: correlation-coefficients
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Total 83 records

    Fast correlation attacks on the summation generator

    , Article Journal of Cryptology ; Volume 13, Issue 2 , 2000 , Pages 245-262 ; 09332790 (ISSN) Golić, J. D ; Salmasizadeh, M ; Dawson, E ; Sharif University of Technology
    Springer New York  2000
    Abstract
    Abstract. The linear sequential circuit approximation method for combiners with memory is used to find mutually correlated linear transforms of the input and output sequences in the well-known summation generator with any number of inputs. It is shown that the determined correlation coefficient is large enough for applying a fast correlation attack to the output sequence to reconstruct the initial states of the input linear feedback shift registers. The proposed attack is based on iterative probabilistic decoding and appropriately generated low-weight parity-checks. The required output sequence length and the computational complexity are both derived. Successful experimental results for the... 

    Multiple partial discharge sources separation using a method based on laplacian score and correlation coefficient techniques

    , Article Electric Power Systems Research ; Volume 210 , 2022 ; 03787796 (ISSN) Javandel, V ; Vakilian, M ; Firuzi, K ; Sharif University of Technology
    Elsevier Ltd  2022
    Abstract
    Partial discharge (PD) activity can be destructive to the transformer insulation, and ultimately may result in total breakdown of the insulation. Partial discharge sources identification in a power transformer enables the operator to evaluate the transformer insulation condition during its lifetime. In order to identify the PD source; in the case of presence of multiple sources; the first step is to capture the PD signals and to extract their specific features. In this contribution, the frequency domain analysis, the time domain analysis and the wavelet transform are employed for feature extraction purpose. In practice, there might be plenty of features, and in each scenario, only some of... 

    Rapid quantitative elemental analysis using artificial neural network for case study of Isfahan Miniature Neutron Source Reactor

    , Article Journal of Radioanalytical and Nuclear Chemistry ; Volume 331, Issue 11 , 2022 , Pages 4479-4487 ; 02365731 (ISSN) Asgari, A ; Hosseini, S. A ; Sharif University of Technology
    Springer Science and Business Media B.V  2022
    Abstract
    In this study, new method for NAA purposes at 30 kW Isfahan MNSR is suggested. An algorithm based on ANN is proposed to quantitatively predict the unknown elements with no need standard sample. A three-layer feed-forward ANN with back-propagation algorithm has been used to determine concentration of selenium and fluorine in Multiple Sclerosis patients and healthy people blood samples. Predicted concentration of elements show good agreement between new method and experiment results. The correlation coefficient between the experimentally determined and predicted values are 0.99104 and 0.99364, respectively. This method is a rapid and precise approach for elemental analysis. © 2022, Akadémiai...