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This paper presents an implementation of Rivest, Shamir and Adleman (RSA) cryptosystem based on hardware/software (HW/SW) co-design. The main operation of RSA is the modular exponentiation (ME) which is performed by repeated modular multiplications (MMs). In this work, the right-to-left (R2L) algorithm is used for the implementation of the ME as a(More)
In this paper, Linear Discrimination Analysis (LDA) is combined with two approaches of automatic classification, Gaussian Mixture Model (GMM) and Support Vector Machine (SVM) to perform an automatic assessment of dysarthric speech. The front-end processing uses a set of prosodic features selected with LDA on the basis of their discriminative ability. The(More)
This paper presents the FPGA implementation of Modular Exponentiation (ME), based on Software/Hardware (SW/HW) approach. Indeed, in Rivest, Shamir and Adleman (RSA) cryptosystem, ME which is computed by series of Modular Multiplications (MM’s), is the main function to encrypt and decrypt data. In order to achieve the best trade-off between area, speed and(More)
In this paper, the implementation of RSA (Rivest, Shamir and Adleman) cryptosystem using Hardware/Software (HW/SW) co-design approach is presented. The main function of RSA is the Modular Exponentiation (ME) which is accomplished by repeated Modular Multiplications (MM’s) on large integers. In this work, we propose the implementation of the ME as a(More)
Parkinson's disease is a pathology that involves characteristic perturbations in patients' voices. This paper describes a proposed method that aims to diagnose persons with Parkinson (PWP) by analyzing on line their voices signals. First, Thresholds signals alterations are determined by the Multi-Dimensional Voice Program (MDVP). Principal Analysis (PCA) is(More)
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