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This book addresses selected topics in electrical engineering, electronics and mechatronics that have posed serious challenges for both the scientific and engineering communities in recent years. The topics covered range from mathematical models of electrical and electronic components and systems, to simulation tools implemented for their analysis and further developments; and from multidisciplinary optimization, signal processing methods and numerical results, to control and diagnostic techniques. By bridging theory and practice in the modeling, design and optimization of electrical, electromechanical and electronic systems, and by adopting a multidisciplinary perspective, the book provides researchers and practitioners with timely and extensive information on the state of the art in the field — and a source of new, exciting ideas for further developments and collaborations. The book presents selected results of the XIII Scientific Conference on Selected Issues of Electrical Engineering and Electronics (WZEE 2016), held on May 04–08, 2016, in Rzeszów, Poland. The Conference was organized by the Rzeszów Division of Polish Association of Theoretical and Applied Electrical Engineering (PTETiS) in cooperation with the Faculty of Electrical and Computer Engineering of the Rzeszów University of Technology.
Engineering. --- Energy systems. --- Mathematical physics. --- Control engineering. --- Electronics. --- Microelectronics. --- Electronics and Microelectronics, Instrumentation. --- Control. --- Mathematical Applications in the Physical Sciences. --- Energy Systems. --- System analysis --- Computer simulation --- Control and Systems Theory. --- Electrical engineering --- Physical sciences --- Physical mathematics --- Physics --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Microminiature electronic equipment --- Microminiaturization (Electronics) --- Electronics --- Microtechnology --- Semiconductors --- Miniature electronic equipment --- Mathematics
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This book provides state-of-the-art results and theories in homogeneous turbulence, including anisotropy and compressibility effects with extension to quantum turbulence, magneto-hydodynamic turbulence and turbulence in non-newtonian fluids. Each chapter is devoted to a given type of interaction (strain, rotation, shear, etc.), and presents and compares experimental data, numerical results, analysis of the Reynolds stress budget equations and advanced multipoint spectral theories. The role of both linear and non-linear mechanisms is emphasized. The link between the statistical properties and the dynamics of coherent structures is also addressed. Despite its restriction to homogeneous turbulence, the book is of interest to all people working in turbulence, since the basic physical mechanisms which are present in all turbulent flows are explained. The reader will find a unified presentation of the results and a clear presentation of existing controversies. Special attention is given to bridge the results obtained in different research communities. Mathematical tools and advanced physical models are detailed in dedicated chapters.
Turbulence --- Anisotropy --- Mathematical models. --- Physics. --- Mathematical physics. --- Fluids. --- Fluid mechanics. --- Fluid- and Aerodynamics. --- Mathematical Applications in the Physical Sciences. --- Engineering Fluid Dynamics. --- Theoretical, Mathematical and Computational Physics. --- Mathematical Physics. --- Mathematical and Computational Engineering. --- Anisotropic crystals --- Crystallography --- Matter --- Properties --- Hydraulic engineering. --- Engineering mathematics. --- Engineering --- Engineering analysis --- Mathematical analysis --- Engineering, Hydraulic --- Fluid mechanics --- Hydraulics --- Shore protection --- Mathematics --- Applied mathematics. --- Hydromechanics --- Continuum mechanics --- Physical mathematics --- Physics --- Mechanics --- Hydrostatics --- Permeability
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This book is primarily concerned with the computational aspects of predictability of dynamical systems - in particular those where observations, modeling and computation are strongly interdependent. Unlike with physical systems under control in laboratories, in astronomy it is uncommon to have the possibility of altering the key parameters of the studied objects. Therefore, the numerical simulations offer an essential tool for analysing these systems, and their reliability is of ever-increasing interest and importance. In this interdisciplinary scenario, the underlying physics provide the simulated models, nonlinear dynamics provides their chaoticity and instability properties, and the computer sciences provide the actual numerical implementation. This book introduces and explores precisely this link between the models and their predictability characterization based on concepts derived from the field of nonlinear dynamics, with a focus on the strong sensitivity to initial conditions and the use of Lyapunov exponents to characterize this sensitivity. This method is illustrated using several well-known continuous dynamical systems, such as the Contopoulos, Hénon-Heiles and Rössler systems. This second edition revises and significantly enlarges the material of the first edition by providing new entry points for discussing new predictability issues on a variety of areas such as machine decision-making, partial differential equations or the analysis of attractors and basins. Finally, the parts of the book devoted to the application of these ideas to astronomy have been greatly enlarged, by first presenting some basics aspects of predictability in astronomy and then by expanding these ideas to a detailed analysis of a galactic potential.
Chaotic behavior in systems --- Mathematical models. --- Chaos in systems --- Chaos theory --- Chaotic motion in systems --- Differentiable dynamical systems --- Dynamics --- Nonlinear theories --- System theory --- Statistical physics. --- Physics. --- Space sciences. --- Mathematical physics. --- Applications of Nonlinear Dynamics and Chaos Theory. --- Numerical and Computational Physics, Simulation. --- Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics). --- Mathematical Applications in the Physical Sciences. --- Physical mathematics --- Physics --- Science and space --- Space research --- Cosmology --- Science --- Astronomy --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Mathematical statistics --- Mathematics --- Statistical methods
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This book provides an overview of state-of-the-art implementations of quantum random number generators (QRNGs), and especially examines their relation to classical statistical randomness models and numerical techniques for computing random numbers. The reader – who ideally has a background in classical statistics, computer science, or cryptography – is introduced to the world of quantum bits step by step, and explicit relations between QRNGs and their classical counterparts are identified along the way. Random number generation is a major pillar of cryptography. Capitalizing on the randomness inherent in quantum phenomena is a rapidly evolving branch of quantum cryptography with countless applications for the future. The value of quantum randomness for cryptographic purposes is empirically demonstrated in statistical evaluations of QRNGs’ performance compared to classical techniques for true and pseudorandom number generation. The book then provides an overview of technical implementations of QRNGs, before a concluding discussion of major achievements and remaining obstacles in the field rounds out the coverage, while also opening the door for future research directions.
Data structures (Computer science). --- System safety. --- Mathematical physics. --- Quantum physics. --- Quantum computers. --- Data Structures and Information Theory. --- Security Science and Technology. --- Mathematical Applications in the Physical Sciences. --- Quantum Physics. --- Quantum Computing. --- Computers --- Quantum dynamics --- Quantum mechanics --- Quantum physics --- Physics --- Mechanics --- Thermodynamics --- Physical mathematics --- Safety, System --- Safety of systems --- Systems safety --- Accidents --- Industrial safety --- Systems engineering --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science) --- Mathematics --- Prevention --- Random number generators. --- Generators, Random number --- Electronic digital computers
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