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Chaos and Fractals: New Frontiers of Science

TLDR
This book discusses Fractal Image Compression, the Causality Principle, Deterministic Laws and Chaos, and the Backbone of Fractals.
Abstract
Causality Principle, Deterministic Laws and Chaos.- The Backbone of Fractals: Feedback and the Iterator.- Classical Fractals and Self-Similarity.- Lim and Self-Similarity.- Length, Area and Dimension: Measuring Complexity and Scaling Properties.- Encoding Images by Simple Transformations.- The Chaos Game: How Randomness Creates Deterministic Shapes.- Recursive Structures: Growing Fractals and Plants.- Pascal's Triangle: Cellular Automata and Attractors.- Irregular Shapes: Randomness in Fractal Constructions.- Deterministic Chaos: Sensitivity, Mixing, and Periodic Points.- Order and Chaos: Period-Doubling and Its Chaotic Mirror.- Strange Attractors: The Locus of Chaos.- Julia Sets: Fractal Basin Boundaries.- The Mandelbrot Set: Ordering the Julia Sets.

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Journal ArticleDOI

Supply networks and complex adaptive systems: Control versus emergence

TL;DR: In this article, the authors argue that many supply networks emerge rather than result from purposeful design by a singular entity and that the emergent patterns in a supply network can much better be managed through positive feedback, which allows for autonomous action.
Journal ArticleDOI

An overview of fractal antenna engineering research

TL;DR: Fractal antenna engineering has been primarily focused in two areas: the first deals with the analysis and design of fractal antenna elements, and the second concerns the application of Fractal concepts to the design of antenna arrays as discussed by the authors.
Journal ArticleDOI

Characterization and Analysis of Porosity and Pore Structures

TL;DR: There are a large number of methods for quantifying porosity, and an increasingly complex idea of what it means to do so as discussed by the authors, which is why it is important to quantify the relationships between porosity and storage, transport and rock properties, however, the pore structure must be measured and quantitatively described.
Journal ArticleDOI

Merging information in speech recognition: feedback is never necessary.

TL;DR: It is concluded that modular models are particularly well suited to the problems and constraints of speech recognition, because phonemic decisions are based on the merging of prelexical and lexical information.
Book

Steganography in Digital Media: Principles, Algorithms, and Applications

TL;DR: This clear, self-contained guide shows you how to understand the building blocks of covert communication in digital media files and how to apply the techniques in practice, including those of steganalysis, the detection of Steganography.