Josephson Junction Model: FPGA Implementation and Chaos-Based Encryption of sEMG Signal through Image Encryption Technique

Author:

Welba Colince1ORCID,Ramachandran Dhanagopal2ORCID,Noura Alexendre3,Tamba Victor Kamdoum4ORCID,Kingni Sifeu Takougang5ORCID,Ntsama Pascal Eloundou3,Ele Pierre6

Affiliation:

1. Department of Fundamental Sciences, National Advanced School of Mines and Petroleum Industries, University of Maroua, P. O. Box 46, Maroua, Cameroon

2. Center for Systems Design, Chennai Institute of Technology, Chennai 600069, Tamilnadu, India

3. Department of Physics, Faculty of Science, University of Ngaoundere, P.O. Box: 454, Ngaoundere, Cameroon

4. Department of Telecommunication and Network Engineering, IUT-Fotso Victor of Bandjoun, University of Dschang, P. O. Box: 134, Bandjoun, Cameroon

5. Department of Mechanical, Petroleum and Gas Engineering, National Advanced School of Mines and Petroleum Industries, University of Maroua, P. O. Box 46, Maroua, Cameroon

6. Electrical and Engineering, Telecommunications Department, National Advanced School of Engineering, University of Yaoundé I, P.O. Box 812, Yaoundé, Cameroon

Abstract

The field programmable gate array (FPGA) implementation of the nonlinear resistor-capacitor-inductor shunted Josephson junction (NRCISJJ) model and its application to sEMG (Surface ElectroMyoGraphic) signal encryption through image encrypted technique are reported in this study. Thanks to the numerical simulations and FPGA implementation of the NRCISJJ model, different shapes of chaotic attractors are revealed by varying the parameters. The chaotic behaviour found in the NRCISJJ model is used to encrypt the sEMG signal through image encryption technique. The results obtained are interesting and open up many perspectives.

Funder

Center for Nonlinear Systems, Chennai Institute of Technology, India

Publisher

Hindawi Limited

Subject

Multidisciplinary,General Computer Science

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