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Synchronization in complex networks is one of the most captivating cooperative phenomena in nature and has been shown to be of fundamental importance in such varied circumstances as the continued existence of species, the functioning of heart pacemaker cells, epileptic seizures, neuronal firing in the feline visual cortex and cognitive tasks in humans. E.g. coupled visual and acoustic interactions make fireflies flash, crickets chirp, and an audience clap in unison. On the other hand, in distributed systems and networks, it is often necessary for some or all of the nodes to calculate some function of certain parameters, e.g. sink nodes in sensor networks being tasked with calculating the average measurement value of all the sensors or multi-agent systems in which all agents are required to coordinate their speed and direction. When all nodes calculate the same function of the initial values in the system, they are said to reach consensus. Such concepts - sometimes also called state agreement, rendezvous, and observer design in control theory - have recently received considerable attention in the computational science and engineering communities. Quite generally, consensus formation among a small group of expert models of an objective process is challenging because the separate models have already been optimized in their own parameter spaces.   The mathematical framework for describing synchronization and consensus in natural and technical sciences is similar and the aim of this book is to provide the first comprehensive work in which synchronization and consensus are presented jointly, thereby allowing the reader to learn about the similarities and differences of the two concepts in both a systematic and application-oriented fashion. The ten chapters have been carefully selected so as to reflect the current state-of-the-art of synchronization and consensus in networked systems; in particular two chapters dealing with a novel application of synchronization concepts in machine learning have been included.   The book is aimed at all scientists and engineers, graduate students and practitioners, working in the fields of synchronization and related phenomena.

System analysis --- Synchronization --- Physics --- Civil & Environmental Engineering --- Physical Sciences & Mathematics --- Engineering & Applied Sciences --- Physics - General --- Operations Research --- Synchronism --- Network theory --- Systems analysis --- Physics. --- Computer simulation. --- Computational intelligence. --- Complexity, Computational. --- Control engineering. --- Complex Networks. --- Simulation and Modeling. --- Computational Intelligence. --- Control. --- Complexity. --- System analysis. --- Synchronization. --- Time measurements --- System theory --- Mathematical optimization --- Network analysis --- Network science --- Engineering. --- Applications of Graph Theory and Complex Networks. --- Control and Systems Theory. --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Construction --- Industrial arts --- Technology --- Computational complexity. --- Complexity, Computational --- Electronic data processing --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics

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Synchronization in complex networks is one of the most captivating cooperative phenomena in nature and has been shown to be of fundamental importance in such varied circumstances as the continued existence of species, the functioning of heart pacemaker cells, epileptic seizures, neuronal firing in the feline visual cortex and cognitive tasks in humans. E.g. coupled visual and acoustic interactions make fireflies flash, crickets chirp, and an audience clap in unison. On the other hand, in distributed systems and networks, it is often necessary for some or all of the nodes to calculate some function of certain parameters, e.g. sink nodes in sensor networks being tasked with calculating the average measurement value of all the sensors or multi-agent systems in which all agents are required to coordinate their speed and direction. When all nodes calculate the same function of the initial values in the system, they are said to reach consensus. Such concepts - sometimes also called state agreement, rendezvous, and observer design in control theory - have recently received considerable attention in the computational science and engineering communities. Quite generally, consensus formation among a small group of expert models of an objective process is challenging because the separate models have already been optimized in their own parameter spaces.   The mathematical framework for describing synchronization and consensus in natural and technical sciences is similar and the aim of this book is to provide the first comprehensive work in which synchronization and consensus are presented jointly, thereby allowing the reader to learn about the similarities and differences of the two concepts in both a systematic and application-oriented fashion. The ten chapters have been carefully selected so as to reflect the current state-of-the-art of synchronization and consensus in networked systems; in particular two chapters dealing with a novel application of synchronization concepts in machine learning have been included.   The book is aimed at all scientists and engineers, graduate students and practitioners, working in the fields of synchronization and related phenomena.

Physics --- Applied physical engineering --- Engineering sciences. Technology --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- akoestiek --- neuronale netwerken --- fuzzy logic --- cybernetica --- machine learning --- vormgeving --- informatica --- mineralen (chemie) --- simulaties --- mijnbouw --- controleleer --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen --- fysica

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Chaos-based cryptography, attracting many researchers in the past decade, is a research field across two fields, i.e., chaos (nonlinear dynamic system) and cryptography (computer and data security). It Chaos' properties, such as randomness and ergodicity, have been proved to be suitable for designing the means for data protection.   The book gives a thorough description of chaos-based cryptography, which consists of chaos basic theory, chaos properties suitable for cryptography, chaos-based cryptographic techniques, and various secure applications based on chaos. Additionally, it covers both the latest research results and some open issues or hot topics.   The book creates a collection of high-quality chapters contributed by leading experts in the related fields. It embraces a wide variety of aspects of the related subject areas and provide a scientifically and scholarly sound treatment of state-of-the-art techniques to students, researchers, academics, personnel of law enforcement and IT practitioners who are interested or involved in the study, research, use, design and development of techniques related to chaos-based cryptography.  .

Engineering & Applied Sciences --- Computer Science --- Cryptography --- Chaotic behavior in systems. --- Data processing. --- Chaos in systems --- Chaos theory --- Chaotic motion in systems --- Cryptanalysis --- Cryptology --- Secret writing --- Steganography --- Engineering. --- Data structures (Computer science). --- Data encryption (Computer science). --- Artificial intelligence. --- Computational intelligence. --- Computational Intelligence. --- Artificial Intelligence (incl. Robotics). --- Data Encryption. --- Data Structures, Cryptology and Information Theory. --- Intelligence, Computational --- Artificial intelligence --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Data encoding (Computer science) --- Encryption of data (Computer science) --- Computer security --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- File organization (Computer science) --- Abstract data types (Computer science) --- Construction --- Industrial arts --- Technology --- Soft computing --- Differentiable dynamical systems --- Dynamics --- Nonlinear theories --- System theory --- Signs and symbols --- Symbolism --- Writing --- Ciphers --- Data encryption (Computer science) --- Data structures (Computer scienc. --- Artificial Intelligence. --- Cryptology. --- Data Structures and Information Theory.

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Computer science --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- neuronale netwerken --- fuzzy logic --- cybernetica --- chaos --- DES (data encryption standard) --- cryptologie --- programmatielogica --- KI (kunstmatige intelligentie) --- robots

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Information and Communication Technologies has enlarged its horizon and it is practiced under multidisciplinary contexts that introduce new challenges to theoretical and technical approaches. The most critical benefit of introducing new ICT technologies in our real world living are the new ways of working that the online world makes possible. Complexity, uncertainty and scaling issues of real world problems as well as natural phenomena in ecology, medicine and biology demanding ICT assistance create challenging application domains for artificial intelligence, decision support and intelligence systems, wireless sensor networks, pervasive and ubiquitous computing, multimedia information systems, data management systems, internet and web applications and services, computer networks, security and cryptography, distributed systems, GRID and cloud computing. This book offers a collection of papers presented at the Third International Conference on ICT Innovations held in September 2011, in Skopje, Macedonia. The conference gathered academics, professionals and practitioners in developing solutions and systems in the industrial and business arena especially innovative commercial implementations, novel applications of technology, and experience in applying recent ICT research advances to practical solutions.

Artificial intelligence. Robotics. Simulation. Graphics --- neuronale netwerken --- fuzzy logic --- cybernetica --- KI (kunstmatige intelligentie) --- robots