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Nonlinear Dynamics and Entropy of Complex Systems with Hidden and Self-excited Attractors

Authors: --- --- --- --- et al.
ISBN: 9783038978985 9783038978992 Year: Pages: 290 DOI: 10.3390/books978-3-03897-899-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 10:09:00
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Abstract

In recent years, entropy has been used as a measure of the degree of chaos in dynamical systems. Thus, it is important to study entropy in nonlinear systems. Moreover, there has been increasing interest in the last few years regarding the novel classification of nonlinear dynamical systems including two kinds of attractors: self-excited attractors and hidden attractors. The localization of self-excited attractors by applying a standard computational procedure is straightforward. In systems with hidden attractors, however, a specific computational procedure must be developed, since equilibrium points do not help in the localization of hidden attractors. Some examples of this kind of system are chaotic dynamical systems with no equilibrium points; with only stable equilibria, curves of equilibria, and surfaces of equilibria; and with non-hyperbolic equilibria. There is evidence that hidden attractors play a vital role in various fields ranging from phase-locked loops, oscillators, describing convective fluid motion, drilling systems, information theory, cryptography, and multilevel DC/DC converters. This Special Issue is a collection of the latest scientific trends on the advanced topics of dynamics, entropy, fractional order calculus, and applications in complex systems with self-excited attractors and hidden attractors.

Keywords

new chaotic system --- multiple attractors --- electronic circuit realization --- S-Box algorithm --- chaotic systems --- circuit design --- parameter estimation --- optimization methods --- Gaussian mixture model --- chaotic system --- empirical mode decomposition --- permutation entropy --- image encryption --- hidden attractors --- fixed point --- stability --- nonlinear transport equation --- stochastic (strong) entropy solution --- uniqueness --- existence --- multiscale multivariate entropy --- multistability --- self-reproducing system --- chaos --- hidden attractor --- self-excited attractor --- fractional order --- spectral entropy --- coexistence --- multistability --- chaotic flow --- hidden attractor --- multistable --- entropy --- core entropy --- Thurston’s algorithm --- Hubbard tree --- external rays --- chaos --- Lyapunov exponents --- multiple-valued --- static memory --- strange attractors --- fractional discrete chaos --- entropy --- projective synchronization --- full state hybrid projective synchronization --- generalized synchronization --- inverse full state hybrid projective synchronization --- inverse generalized synchronization --- multichannel supply chain --- service game --- chaos --- entropy --- BOPS --- Hopf bifurcation --- self-excited attractors --- multistability --- sample entropy --- PRNG --- Non-equilibrium four-dimensional chaotic system --- entropy measure --- adaptive approximator-based control --- neural network --- uncertain dynamics --- synchronization --- fractional-order --- complex-variable chaotic system --- unknown complex parameters --- chaotic map --- fixed point --- chaos --- approximate entropy --- implementation --- hidden attractor --- hyperchaotic system --- multistability --- entropy analysis --- hidden attractor --- complex systems --- fractional-order --- entropy --- chaotic maps --- chaos --- spatial dynamics --- Bogdanov Map --- chaos --- laser --- resonator

Entropy in Image Analysis

Author:
ISBN: 9783039210923 9783039210930 Year: Pages: 456 DOI: 10.3390/books978-3-03921-093-0 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 08:44:06
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Image analysis is a fundamental task for extracting information from images acquired across a range of different devices. Since reliable quantitative results are requested, image analysis requires highly sophisticated numerical and analytical methods—particularly for applications in medicine, security, and remote sensing, where the results of the processing may consist of vitally important data. The contributions to this book provide a good overview of the most important demands and solutions concerning this research area. In particular, the reader will find image analysis applied for feature extraction, encryption and decryption of data, color segmentation, and in the support new technologies. In all the contributions, entropy plays a pivotal role.

Keywords

image retrieval --- multi-feature fusion --- entropy --- relevance feedback --- chaotic system --- image encryption --- permutation-diffusion --- SHA-256 hash value --- dynamic index --- entropy --- keyframes --- Shannon’s entropy --- sign languages --- video summarization --- video skimming --- image encryption --- multiple-image encryption --- two-dimensional chaotic economic map --- security analysis --- image encryption --- chaotic cryptography --- cryptanalysis --- chosen-plaintext attack --- image information entropy --- blind image quality assessment (BIQA) --- information entropy, natural scene statistics (NSS) --- Weibull statistics --- discrete cosine transform (DCT) --- ultrasound --- hepatic steatosis --- Shannon entropy --- fatty liver --- metabolic syndrome --- multi-exposure image fusion --- texture information entropy --- adaptive selection --- patch structure decomposition --- image encryption --- time-delay --- random insertion --- information entropy --- chaotic map --- uncertainty assessment --- deep neural network --- random forest --- Shannon entropy --- positron emission tomography --- reconstruction --- field of experts --- additive manufacturing --- 3D prints --- 3D scanning --- image entropy --- depth maps --- surface quality assessment --- machine vision --- image analysis --- Arimoto entropy --- free-form deformations --- normalized divergence measure --- gradient distributions --- nonextensive entropy --- non-rigid registration --- pavement --- macrotexture --- 3-D digital imaging --- entropy --- decay trend --- discrete entropy --- infrared images --- low contrast --- multiscale top-hat transform --- image encryption --- DNA encoding --- chaotic cryptography --- cryptanalysis --- image privacy --- computer aided diagnostics --- colonoscopy --- Rényi entropies --- structural entropy --- spatial filling factor --- binary image --- Cantor set --- Hénon map --- Minkowski island --- prime-indexed primes --- Ramanujan primes --- Kapur’s entropy --- color image segmentation --- whale optimization algorithm --- differential evolution --- hybrid algorithm --- Otsu method --- image encryption --- dynamic filtering --- DNA computing --- 3D Latin cube --- permutation --- diffusion --- fuzzy entropy --- electromagnetic field optimization --- chaotic strategy --- color image segmentation --- multilevel thresholding --- contrast enhancement --- sigmoid --- Tsallis statistics --- q-exponential --- q-sigmoid --- q-Gaussian --- ultra-sound images --- person re-identification --- image analysis --- hash layer --- quantization loss --- Hamming distance --- cross-entropy loss --- image entropy --- Shannon entropy --- generalized entropies --- image processing --- image segmentation --- medical imaging --- remote sensing --- security

Discrete Mathematics and Symmetry

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ISBN: 9783039281909 9783039281916 Year: Pages: 458 DOI: 10.3390/books978-3-03928-191-6 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Mathematics
Added to DOAB on : 2020-04-07 23:07:08
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Some of the most beautiful studies in Mathematics are related to Symmetry and Geometry. For this reason, we select here some contributions about such aspects and Discrete Geometry. As we know, Symmetry in a system means invariance of its elements under conditions of transformations. When we consider network structures, symmetry means invariance of adjacency of nodes under the permutations of node set. The graph isomorphism is an equivalence relation on the set of graphs. Therefore, it partitions the class of all graphs into equivalence classes. The underlying idea of isomorphism is that some objects have the same structure if we omit the individual character of their components. A set of graphs isomorphic to each other is denominated as an isomorphism class of graphs. The automorphism of a graph will be an isomorphism from G onto itself. The family of all automorphisms of a graph G is a permutation group.

Keywords

strongly regular graph --- automorphism group --- orbit matrix --- binary polyhedral group --- icosahedron --- dodecahedron --- 600-cell --- Electric multiple unit trains --- high-level maintenance planning --- time window --- 0–1 programming model --- particle swarm algorithm --- fixed point --- split-quaternion --- quadratic polynomial --- split-octonion --- neutrosophic set --- neutrosophic rough set --- pessimistic (optimistic) multigranulation neutrosophic approximation operators --- complete lattice --- rough set --- matroid --- operator --- attribute reduction --- graded rough sets --- rough intuitionistic fuzzy sets --- dominance relation --- logical conjunction operation --- logical disjunction operation --- multi-granulation --- planar point set --- convex polygon --- disjoint holes --- fuzzy logic --- pseudo-BCI algebra --- quasi-maximal element --- KG-union --- quasi-alternating BCK-algebra --- quality function deployment --- engineering characteristics --- group decision making --- 2-tuple --- metro station --- emergency routes --- graph partitioning --- graph clustering --- invariant measures --- partition comparison --- finite automorphism groups --- graph automorphisms --- Fuzzy sets --- ring --- normed space --- fuzzy normed ring --- fuzzy normed ideal --- fuzzy implication --- quantum B-algebra --- q-filter --- quotient algebra --- basic implication algebra --- Detour–Harary index --- maximum --- unicyclic --- bicyclic --- cacti --- three-way decisions --- intuitionistic fuzzy sets --- multi-granulation rough intuitionistic fuzzy sets --- granularity importance degree --- complexity --- Chebyshev polynomials --- gear graph --- pyramid graphs --- edge detection --- Laplacian operation --- regularization --- parameter selection --- performance evaluation --- aggregation operator --- triangular norm --- ?-convex set --- atom-bond connectivity index --- geometric arithmetic index --- line graph --- generalized bridge molecular graph --- graceful labeling --- edge graceful labeling --- edge even graceful labeling --- polar grid graph --- graph --- good drawing --- crossing number --- join product --- cyclic permutation --- nonlinear --- synchronized --- linear discrete --- chaotic system --- algorithm --- generalized permanental polynomial --- coefficient --- co-permanental --- isoperimetric number --- random graph --- intersection graph --- social network --- Abel–Grassmann’s groupoid (AG-groupoid) --- Abel–Grassmann’s group (AG-group) --- involution AG-group --- commutative group --- filter --- graceful labeling --- edge even graceful labeling --- cylinder grid graph --- selective maintenance --- multi-state system --- human reliability --- optimization --- genetic algorithm --- hypernear-ring --- multitransformation --- embedding --- distance matrix (spectrum) --- distance signlees Laplacian matrix (spectrum) --- (generalized) distance matrix --- spectral radius --- transmission regular graph --- graph --- good drawing --- crossing number --- join product --- cyclic permutation --- cyclic associative groupoid (CA-groupoid) --- cancellative --- variant CA-groupoids --- decomposition theorem --- construction methods

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