Intelligent Distributed Computing V

The application of the theory and practice of art to computer science: how aesthetics and art can play a role in computing disciplines. In "Aesthetic Computing", key scholars and practitioners from ar

James Spillane, the leading expert in Distributed Leadership, shows how leadership happens in everyday practices in schools, through formal routines and informal interactions. He examines the distrib

McCarty (humanities computing, King's College London) has lectured and published widely on the intellectual foundations for humanities computing. In this text, he offers professionals in the humanitie

This informative monograph helps meet the challenge of applying distributed control to dynamical systems. It shows readers how to bring the best parts of various control paradigms to bear in making d

This uniquely crafted work combines the experience of many internationally recognized experts in the soft- and hard-computing research worlds to present practicing engineers with the broadest possible

Principles for constructing intelligent systems Design of Logic-based Intelligent Systems develops principles and methods for constructing intelligent systems for complex tasks that are readily done b

In writing The Intelligent School, the authors offer a practical resource to schools to help them maximize their improvement efforts. The aim is to help schools to be intelligent organizations; to be

Innovations in Intelligent Systems is a rare collection of the latest developments in intelligent paradigms such as knowledge-based systems, computational intelligence and hybrid combinations as well

Going Virtual: Distributed Communities of Practice contributes to the understanding of how more subtle kinds of knowledge can be managed in a distributed international environment. It describes academ

Intrusion Detection In Distributed Systems: An Abstraction-Based Approach presents research contributions in three areas with respect to intrusion detection in distributed systems. The first contribut

Parallel Computing is a compelling vision of how computation can seamlessly scale from a single processor to virtually limitless computing power. Unfortunately, the scaling of application performance

Barnaby describes how to use the new .NET technologies to build fast, scalable, and robust distributed applications.

With the advent of portable and small-sized computing systems, and with the new trends towards embedded and systems-on-a-chip computing, power management has emerged as a focal point in many research

Large and complex software systems, such as Internet applications, depend on distributed applications. Although Java has helped reduce the complexity of distributed systems, developers still have to c

The pay-offs for creating distributed applications are in achieving portability, scalability and fault-tolerance. In order to simplify building software that performs robustly regardless of platform o

This is the first book on DNA computing, a molecular approach that may revolutionize computing-replacing silicon with carbon and microchips with DNA molecules. The book starts with an introduction to

This is the first book on DNA computing, a molecular approach that may revolutionize computing-replacing silicon with carbon and microchips with DNA molecules. The book starts with an introduction to

The need for greater bandwidth has driven laser manufacturers towards the use of distributed feedback semiconductor (DFB) lasers with a well-defined single mode. These semiconductor diode-based device

On the basis that only distributed hydrological models can provide an analysis of the wide-ranging data that best acquits an engineer's obligation to a client, explains the basic principles, a variety

This book presents the proceedings of the Distributed Ada '89 Symposium held at the University of Southampton in December. The objective of the symposium was to provide a platform for developers and users with experience in the areas of distributed and parallel environments to reveal the advantages and difficulties encountered. The impact of Ada-9X and other enhancements to the language were also explored.

A hands-on, code-based guide to leveraging Julia in a variety of scientific and data-driven scenarios Key Features: Augment your basic computing skills with an in-depth introduction to JuliaFocus on topic-based approaches to scientific problems and visualisationBuild on prior knowledge of programming languages such as Python, R, or C/C++Purchase of the print or Kindle book includes a free PDF eBook Book Description: Julia is a well-constructed programming language which was designed for fast execution speed by using just-in-time LLVM compilation techniques, thus eliminating the classic problem of performing analysis in one language and translating it for performance in a second.This book is a primer on Julia's approach to a wide variety of topics such as scientific computing, statistics, machine learning, simulation, graphics, and distributed computing.Starting off with a refresher on installing and running Julia on different platforms, you'll quickly get to grips with the core concept

Distributed Ledger Technology (DLT) is a way of managing, storing, and sharing information over a distributed network. The position of DLT in banking can be seen as controversial as it is a rapidly evolving technology with both potential benefits and challenges. The Role of Distributed Ledger Technology in Banking presents a balanced assessment of both the opportunities and risks behind such recent innovations. Combining theory and practice, it explores the impact of DLT in the banking sector and offers the opportunity to exploit different points of view from different disciplines. It presents topics from both a theoretical and practical point of view, highlighting concrete applications. Written by a team of experts from academia and the banking sector, this book looks at DLT not as a threat but as an exciting opportunity to bring the banking/financial system in the future.

Now Fully Updated: The Definitive, Vendor-Neutral Guide to Cloud Computing Success Cloud computing offers immense opportunities to improve agility and competitiveness - as well as significant risks. To maximize value and avoid pitfalls, you need a thorough, vendor-neutral understanding of today's technologies, models, tools, and architectures. Cloud Computing, Second Edition presents up-to-date knowledge for every facet of cloud computing: from scoping projects through designing solutions, assessing providers to administering resources and managing cost. Renowned IT author Thomas Erl and enterprise cloud expert Eric Barcel?Monroy distill proven technologies and practices into well-defined concepts, models, mechanisms, and architectures. Each is explained in ways that align with modern industry usage, to help you clearly understand and assess your options. First, the authors show how cloud computing emerged and evolved, introducing core concepts, models, components, and security issues

An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning. Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions. The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload characterization and benchmarking, and system deplo

For 80 years, mathematics has driven fundamental innovation in computing and communications. This timely book provides a panorama of some recent ideas in mathematics and how they will drive continued innovation in computing, communications and AI in the coming years. It provides a unique insight into how the new techniques that are being developed can be used to provide theoretical foundations for technological progress, just as mathematics was used in earlier times by Turing, von Neumann, Shannon and others. Edited by leading researchers in the field, chapters cover the application of new mathematics in computer architecture, software verification, quantum computing, compressed sensing, networking, Bayesian inference, machine learning, reinforcement learning and many other areas.

This book integrates the foundations of quantum computing with a hands-on coding approach to this emerging field; it is the first to bring these strands together in an updated manner. This work is suitable for both academic coursework and corporate technical training.The second edition includes extensive updates and revisions, both to textual content and to the code. Sections have been added on quantum machine learning, quantum error correction, Dirac notation and more. This new edition benefits from the input of the many faculty, students, corporate engineering teams, and independent readers who have used the first edition.This volume comprises three books under one cover: Part I outlines the necessary foundations of quantum computing and quantum circuits. Part II walks through the canon of quantum computing algorithms and provides code on a range of quantum computing methods in current use. Part III covers the mathematical toolkit required to master quantum computing. Additional reso

Cognitive Computing for Human-Robot Interaction: Principles and Practices explores the efforts that should ultimately enable society to take advantage of the often-heralded potential of robots to provide economical and sustainable computing applications. The book discusses each of these abilities, presents working implementations, and combines coherent and original deliberative architecture for human-robot interaction. Supported by experimental results, the book shows how explicit knowledge management can be instrumental in richer and more natural human-robot interactions by pushing for pervasive, human-level semantics within the robot's deliberative system for sustainable computing applications.

Learn Quantum Computing with Python and Q# introduces quantum computing from a practical perspective. Summary Learn Quantum Computing with Python and Q# demystifies quantum computing. Using Python and the new quantum programming language Q#, you'll build your own quantum simulator and apply quantum programming techniques to real-world examples including cryptography and chemical analysis. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Quantum computers present a radical leap in speed and computing power. Improved scientific simulations and new frontiers in cryptography that are impossible with classical computing may soon be in reach. Microsoft's Quantum Development Kit and the Q# language give you the tools to experiment with quantum computing without knowing advanced math or theoretical physics. About the book Learn Quantum Computing with Python and Q# introduces quantum computing from a practical pers

An essential collection of 100 practical, tried-and-tested ideas for teaching computing in secondary schools. This is the perfect resource for computing teachers at all levels, whether specialist or n

This handbook focuses on the study of distributed team cognition, defined by information, technology, people, work, and context. This four-volume handbook set, defines current worldviews of distribute

This book looks at fundamentals, theoretical concepts, and how theory informs perspectives of thinking for distributed team cognition. The chapters yield a broad understanding of the nature of diverse

This book provides insights into contemporary issues and challenges in soft computing applications and techniques in healthcare.

The Intelligent Nation proposes a systemic and radical transformation of the organisation, management, ownership and performance of the services of the state by capitalising on the potential offered b

The Intelligent Nation proposes a systemic and radical transformation of the organisation, management, ownership and performance of the services of the state by capitalising on the potential offered b