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Wiley-VCH - Electrical & Electronics Engineering
A Passion for Publishing
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Distributed Storage in Practice
A complete and up-to-date overview of popular and practical erasure codes in distributed storage In Distributed Storage in Practice, a team of distinguished researchers delivers a comprehensive discussion on distributed storage coding and distributed storage systems. Divided into two parts, the book first explores distributed storage coding technology based on Maximum Distance Separable (MDS) codes, including array codes, Reed-Solomon codes, locally repairable codes, and regenerating codes. It then goes on to examine the challenges presented by repairing distributed data in real-world scenarios. Distributed Storage in Practice uses two perspectives: practical optimization of distributed storage coding and emerging technologies such as blockchain. It discusses the technical foundations of blockchain and integrates block-chain into distributed storage systems and offers an overview of several popular blockchain-based storage systems. It also includes: * A thorough introduction to the current development of quantum technology, including its fundamentals, quantum memory, quantum computers, quantum security, and quantum networks * Comprehensive explorations of data recovery methods for specific networked distributed storage scenarios * Practical integrations of theory and practice, including classic techniques and the most recent advancements in storage coding * A practical example of a distributed secure storage system integrated with blockchain technology Perfect for researchers and undergraduate and graduate students studying computer science, Distributed Storage in Practice will also benefit blockchain professionals. [336 Pages, Hardcover]
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Lens Design for Imaging
1. Introduction 2. Optical Materials 3. Geometrical Optics 4. Optical Components 5. Imaging Systems 6. Diffraction and Point Spread Function 7. Optical Transfer Functions and Fourier Optics 8. Gaussians Beams 9. Photometry and Radiometry 10. Phase Space Representation 11. Computation and Digital Processing of Images 12. Mathematical Appendix [640 Pages, Hardcover]
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Advanced Mathematics in Computing, Communication and Security
Explore the cutting edge of scientific computing with this volume, which provides a comprehensive look at the interdependency between mathematics and computer science. Within the evolving landscape of computer science, mathematics is increasingly playing a pivotal role. Disciplines like linear algebra, statistics, calculus, and discrete mathematics serve as the cornerstone for comprehension and innovation within various computer science domains. This book underscores the deep-seated interdependency between the realms of mathematics and scientific computing, exploring how each discipline mutually reinforces and advances the other. With its rich theoretical framework and analytical rigor, mathematics provides the bedrock upon which many computational concepts and methodologies are built. In turn, computer science offers a practical avenue for applying mathematical abstractions to tackle real-world problems efficiently and effectively. Cutting-edge technologies, such as scientific computing, deep learning, and computer vision, require not only a mastery of foundational mathematics, but a diverse interdisciplinary approach. This book sheds light on the burgeoning frontiers of computer science, bringing together researchers with expertise across multiple industries, making it an essential resource for beginners and experienced practitioners alike. [576 Pages, Hardcover]
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Graph Convolutional Neural Networks for Computer Vision
Revolutionize your machine learning practice with this essential book that provides expert insights into leveraging Graph Convolutional Networks (GCNNs) to overcome the limitations of traditional CNNs. In the last decade, computer vision has become a major focus for addressing the world's growing processing needs. Many existing deep learning architectures for computer vision challenges are based on convolutional neural networks (CNNs). Despite their great achievements, CNNs struggle to encode the intrinsic graph patterns in specific learning tasks. In contrast, graph convolutional networks have been used to address several computer vision issues with equivalent or superior results. The use of GCNNs has shown significant achievement in image classifications, video understanding, point clouds, meshes, and other applications in natural language processing. This book focuses on the applications of graph convolutional networks in computer vision. Through expert insights, it explores how researchers are finding ways to perform convolution algorithms on graphs to improve the way we use machine learning. [304 Pages, Hardcover]
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Protection of Electrical Power Distribution Systems
Comprehensive reference on safeguarding electrical power systems from faults and failures, exploring emerging technologies such as AI and ML Supported by case studies of real-world power system faults, Protection of Electrical Power Distribution Systems offers an in-depth examination of the methods and technologies used to safeguard electrical grids from faults and failures. The book begins with a comprehensive introduction to power system fundamentals, emphasizing the critical role of protection mechanisms in maintaining system stability and ensuring operational safety. It thoroughly explores various types of faults, including short circuits, ground faults, and overloads, detailing their potential impacts on system performance, reliability, and safety. The book introduces foundational concepts such as protection overlay, unit protection, and non-unit protection, before diving into the core principles of power system protection. These include the key attributes of selectivity, sensitivity, speed, and reliability, essential for designing effective protection systems. A detailed discussion follows on the wide range of protective devices used in modern power systems, such as fuses, circuit breakers, and relays, along with strategies for their coordination to ensure optimal performance. To enhance reader engagement and understanding, the book includes practical exercises and self-assessment questions that focus on protection system design and implementation. These tools encourage deeper learning and provide valuable insights into the real-world application of power system protection technologies. Protection of Electrical Power Distribution Systems includes information on: * Differences between restricted and unrestricted protection and criteria to determine ideal boundaries of protection zones * Modern technologies applied to protection such as digital relays and intelligent electronic devices (IEDs) * Different kinds of busbar protection and the main types of faults affecting the busbar * Types of transformer protection and their constraints and the operation of current and voltage transformers * Future trends in the field such as the application of AI and ML in predictive maintenance and fault diagnosis Protection of Electrical Power Distribution Systems serves as an essential reference for engineers, researchers, and students, offering a deep understanding of power system protection principles and practices to enhance the reliability and safety of electrical power systems. [416 Pages, Hardcover]
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