5 research outputs found
Medical Images Encryption Based on Adaptive-Robust Multi-Mode Synchronization of Chen Hyper-Chaotic Systems
In this paper, a novel medical image encryption method based on multi-mode synchronization of hyper-chaotic systems is presented. The synchronization of hyper-chaotic systems is of
great significance in secure communication tasks such as encryption of images. Multi-mode synchronization is a novel and highly complex issue, especially if there is uncertainty and disturbance. In
this work, an adaptive-robust controller is designed for multimode synchronized chaotic systems
with variable and unknown parameters, despite the bounded disturbance and uncertainty with a
known function in two modes. In the first case, it is a main system with some response systems,
and in the second case, it is a circular synchronization. Using theorems it is proved that the two
synchronization methods are equivalent. Our results show that, we are able to obtain the convergence
of synchronization error and parameter estimation error to zero using Lyapunov’s method. The
new laws to update time-varying parameters, estimating disturbance and uncertainty bounds are
proposed such that stability of system is guaranteed. To assess the performance of the proposed
synchronization method, various statistical analyzes were carried out on the encrypted medical
images and standard benchmark images. The results show effective performance of the proposed
synchronization technique in the medical images encryption for telemedicine application.MINECO/ FEDER under the RTI2018-098913-B100
CV20-45250 and A-TIC- 080-UGR18 project
Observation of bifurcations and hysteresis in experimentally coupled logistic maps
Acknowledgements C.G. acknowledges funds POS_NAC_2018_1_151237 from the Agencia Nacional de Investigación e Innovación (ANII), Uruguay. All authors acknowledge the Comisión Sectorial de Investigación CientÃfica (CSIC), Uruguay (group grant ‘CSIC2018 – FID13 – grupo ID 722’).Peer reviewedPreprin
Bioinspired metaheuristic algorithms for global optimization
This paper presents concise comparison study of newly developed bioinspired algorithms for global optimization problems. Three different metaheuristic techniques, namely Accelerated Particle Swarm Optimization (APSO), Firefly Algorithm (FA), and Grey Wolf Optimizer (GWO) are investigated and implemented in Matlab environment. These methods are compared on four unimodal and multimodal nonlinear functions in order to find global optimum values. Computational results indicate that GWO outperforms other intelligent techniques, and that all aforementioned algorithms can be successfully used for optimization of continuous functions
Experimental Evaluation of Growing and Pruning Hyper Basis Function Neural Networks Trained with Extended Information Filter
In this paper we test Extended Information Filter (EIF) for sequential training of Hyper Basis Function Neural Networks with growing and pruning ability (HBF-GP). The HBF neuron allows different scaling of input dimensions to provide better generalization property when dealing with complex nonlinear problems in engineering practice. The main intuition behind HBF is in generalization of Gaussian type of neuron that applies Mahalanobis-like distance as a distance metrics between input training sample and prototype vector. We exploit concept of neuron’s significance and allow growing and pruning of HBF neurons during sequential learning process. From engineer’s perspective, EIF is attractive for training of neural networks because it allows a designer to have scarce initial knowledge of the system/problem. Extensive experimental study shows that HBF neural network trained with EIF achieves same prediction error and compactness of network topology when compared to EKF, but without the need to know initial state uncertainty, which is its main advantage over EKF
Recommended from our members
Federal Register
Daily publication of the U.S. Office of the Federal Register contains rules and regulations, proposed legislation and rule changes, and other notices, including "Presidential proclamations and Executive Orders, Federal agency documents having general applicability and legal effect, documents required to be published by act of Congress, and other Federal agency documents of public interest" (p. ii). Table of Contents starts on page iii