Computing

Cloud computing is the latest market-oriented computing paradigm which brings software design and development into a new era characterized by “XaaS”, i.e. everything as a service. Cloud workflows, as

Research into grid computing has been driven by the need to solve large-scale, increasingly complex problems for scientific applications. Yet the applications of grid computing for business and casual

The Globus Toolkit (http://www.globus.org/toolkit/) is a key technology in Grid Computing, the exciting new computing paradigm that allows users to share processing power, data, storage, and other co

On the way towards the Information Society, global networks such as the Internet, together with mobile computing, have made wide-area computing over virtual communities a reality. Digital city project

"This book presents the concept of cloud computing and explore the various shortcomings of cloud. It highlights the background of assorted issues that arises in the field of cloud computing especially

IT Services for Cloud Computing explains the technology and business drivers behind the dramatic transformation the advent of cloud computing has had on business and on IT departments. Seven experts s

How to measure cloud computing options and benefits to impact business intelligence infrastructure This book is a guide for managers and others involved in using cloud computing to create business va

The theme of CUTE is focused on the various aspects of ubiquitous computing for advances in ubiquitous computing and provides an opportunity for academic and industry professionals to discuss the late

The computing world today is in the middle of a revolution: mobile clients and cloud computing have emerged as the dominant paradigms driving programming and hardware innovation today. The Fifth Editi

This authoritative book is the first resource to help IT personnel navigate tricky security and privacy issues associated with cloud computing. Cloud computing has emerged as a popular way for corpora

This volume helps to fill the gap between data analytics, image processing, and soft computing practices. Soft computing methods are used to focus on data analytics and image processing to develop goo

The rapid increase of cloud computing, high performance computing (HPC) and the vast growth in Internet and Social Media use have aroused the interest in energy consumption and the carbon footprint of

Take your idea from concept to production with this unique guide Whether it's called physical computing, ubiquitous computing, or the Internet of Things, it's a hot topic in technology: how to channe

This textbook takes a modeling and computing approach to updating the Elementary or Ordinary Differential Equations Course. The "age of computing" is upon us and we need to develop new courses and met

This is the first book entirely devoted to providing a perspective on the state-of-the-art of cloud computing and energy services and the impact on designing sustainable systems. Cloud computing servi

A broad overview of natural language processing in affective computing is given by this title. Its goal is to familiarize the reader with current approaches in affective computing as well as the most

This book tells you every keyboard shortcut of windows 10 you should know. Shortcutting is very crucial in computing world or what I call computing community, not just because of its productivity but

Computing and science reveal a synergic relationship. On the one hand, it is widely evident that computing plays an important role in the scientific endeavor. On the other hand, the role of scientific

Embedded internet and internet appliances are the focus of great attention in the computing industry, as they are seen as the future of computing. The design of such devices presents many technical c

The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform.The book

Data compression is one of the most important fields and tools in modern computing. From archiving data, to CD-ROMs, and from coding theory to image analysis, many facets of modern computing rely upon

Cellular Nonlinear/neural Network (CNN) technology is both a revolutionary concept and an experimentally proven new computing paradigm. Analogic cellular computers based on CNNs are set to change the way analog signals are processed and are paving the way to an analog computing industry. This unique undergraduate level textbook includes many examples and exercises, including CNN simulator and development software accessible via the Internet. It is an ideal introduction to CNNs and analogic cellular computing for students, researchers and engineers from a wide range of disciplines. Although its prime focus is on visual computing, the concepts and techniques described in the book will be of great interest to those working in other areas of research including modeling of biological, chemical and physical processes. Leon Chua, co-inventor of the CNN, and Tamás Roska are both highly respected pioneers in the field.

Cellular Nonlinear/neural Network (CNN) technology is both a revolutionary concept and an experimentally proven new computing paradigm. Analogic cellular computers based on CNNs are set to change the way analog signals are processed and are paving the way to an analog computing industry. This unique undergraduate level textbook includes many examples and exercises, including CNN simulator and development software accessible via the Internet. It is an ideal introduction to CNNs and analogic cellular computing for students, researchers and engineers from a wide range of disciplines. Although its prime focus is on visual computing, the concepts and techniques described in the book will be of great interest to those working in other areas of research including modeling of biological, chemical and physical processes. Leon Chua, co-inventor of the CNN, and Tamás Roska are both highly respected pioneers in the field.

This book serves as a comprehensive introduction to quantum computing platforms, inspired by recent advancements in quantum technologies aimed at detecting and manipulating single quantum objects. Encompassing solid-state, atomic, and optical platforms, it delves into various aspects of quantum computing, including topological quantum computing. The content covers the fabrication, modeling, and numerical implementation of quantum circuits, such as Josephson junctions and qubits, along with hybrid nanostructures. Additionally, the book introduces quantum entanglement, a crucial concept for quantum communication and information processes. The well-compiled topics and concise presentation position the book as a primer for courses on quantum technologies.

Acta Numerica is an annual volume presenting substantive survey articles in numerical analysis and scientific computing. The subjects and authors are chosen by a distinguished international editorial board so as to report the most important developments in the subject in a manner accessible to the wider community of professionals with an interest in scientific computing.

THE YEAR IS 1986. THE CITY IS SAN FRANCISCO. Here, Martin Hench will reinvent the forensic accountant for the digital age – what a bounty hunter is to people, he will be to tech money – but for now he’s an MIT dropout odd-jobbing his way around a city still reeling from the invention of a revolutionary new technology that will change everything about crime forever.When Martin is hired by a Silicon Valley startup, Fidelity Computing, to investigate a group of disgruntled ex-employees who’ve founded a competitor, he quickly realises he’s on the wrong side. Martin ditches the greasy old guys running Fidelity Computing without a second thought, utterly infatuated with the electric atmosphere of Computing Freedom. Located in the heart of the Mission, this group of brilliant young women have set out to beat Fidelity Computing at their own game.But they have no idea of the depth of evil they’re seeking to uproot. Or the risks they run. In this company-eat-company city, Martin and his friends

THE YEAR IS 1986. THE CITY IS SAN FRANCISCO.Here, Martin Hench will reinvent the forensic accountant - what a bounty hunter is to people, he will be to tech money - but for now he's an MIT dropout odd-jobbing his way around a city still reeling from the invention of a revolutionary new technology that will change everything about crime forever.When Martin is hired by a Silicon Valley startup, Fidelity Computing, to investigate a group of disgruntled ex-employees who've founded a competitor, he quickly realises he's on the wrong side. Martin ditches the greasy old guys running Fidelity Computing without a second thought, utterly infatuated with the electric atmosphere of Computing Freedom.Located in the heart of the Mission, this group of brilliant young women have set out to beat Fidelity Computing at their own game. But they have no idea of the depth of evil they're seeking to uproot. Or the risks they run.In this company-eat-company city, Martin and his friends will be lucky to escap

THE YEAR IS 1986. THE CITY IS SAN FRANCISCO. Here, Martin Hench will reinvent the forensic accountant – what a bounty hunter is to people, he will be to tech money – but for now he’s an MIT dropout odd-jobbing his way around a city still reeling from the invention of a revolutionary new technology that will change everything about crime forever.When Martin is hired by a Silicon Valley startup, Fidelity Computing, to investigate a group of disgruntled ex-employees who’ve founded a competitor, he quickly realises he’s on the wrong side. Martin ditches the greasy old guys running Fidelity Computing without a second thought, utterly infatuated with the electric atmosphere of Computing Freedom. Located in the heart of the Mission, this group of brilliant young women have set out to beat Fidelity Computing at their own game.But they have no idea of the depth of evil they’re seeking to uproot. Or the risks they run. In this company-eat-company city, Martin and his friends will be lucky to esc

From its earliest days, the Fortran programming language has been designed with computing efficiency in mind. The latest standard, Fortran 2008, incorporates a host of modern features, including object-orientation, array operations, user-defined types, and provisions for parallel computing. This tutorial guide shows Fortran programmers how to apply these features in twenty-first-century style: modular, concise, object-oriented, and resource-efficient, using multiple processors. It offers practical real-world examples of interfacing to C, memory management, graphics and GUIs, and parallel computing using MPI, OpenMP, and coarrays. The author also analyzes several numerical algorithms and their implementations and illustrates the use of several open source libraries. Full source code for the examples is available on the book's website.

From its earliest days, the Fortran programming language has been designed with computing efficiency in mind. The latest standard, Fortran 2008, incorporates a host of modern features, including object-orientation, array operations, user-defined types, and provisions for parallel computing. This tutorial guide shows Fortran programmers how to apply these features in twenty-first-century style: modular, concise, object-oriented, and resource-efficient, using multiple processors. It offers practical real-world examples of interfacing to C, memory management, graphics and GUIs, and parallel computing using MPI, OpenMP, and coarrays. The author also analyzes several numerical algorithms and their implementations and illustrates the use of several open source libraries. Full source code for the examples is available on the book's website.

This book sets out the principles of parallel computing in a way which will be useful to student and potential user alike. It includes coverage of both conventional and neural computers. The content of the book is arranged hierarchically. It explains why, where and how parallel computing is used; the fundamental paradigms employed in the field; how systems are programmed or trained; technical aspects including connectivity and processing element complexity; and how system performance is estimated (and why doing so is difficult). The penultimate chapter of the book comprises a set of case studies of archetypal parallel computers, each study written by an individual closely connected with the system in question. The final chapter correlates the various aspects of parallel computing into a taxonomy of systems.

This book sets out the principles of parallel computing in a way which will be useful to student and potential user alike. It includes coverage of both conventional and neural computers. The content of the book is arranged hierarchically. It explains why, where and how parallel computing is used; the fundamental paradigms employed in the field; how systems are programmed or trained; technical aspects including connectivity and processing element complexity; and how system performance is estimated (and why doing so is difficult). The penultimate chapter of the book comprises a set of case studies of archetypal parallel computers, each study written by an individual closely connected with the system in question. The final chapter correlates the various aspects of parallel computing into a taxonomy of systems.

Contains more than seven hundred entries that cover all aspects of computer science and the history of computing.

Designed for the introductory computing and computer science course, the student-friendly Computer Science Illuminated, Eighth Edition provides students with a solid foundation for further study, and offers non-majors a complete introduction to computing. Fully revised and updated, the eighth edition of this best-selling text retains the accessibility and in-depth coverage of previous editions, while incorporating all-new material on cutting-edge issues in computer science. Authored by the award-winning team Nell Dale and John Lewis, the text provides a unique and innovative layered approach, moving through the levels of computing from an organized, language-neutral perspective. Updated to latest AP CS PrinciplesNew section on cryptocurrencyExpanded coverage of blockchain, cybersecurity attacks, and e-commerceCloud Desktop and companion lab exercises are available on Navigate, which include 23 different lab exercises on topics such as programming, databases, networking, and more

This third edition provides a concise and generously illustrated survey of the complete field of medical imaging and image computing, explaining the mathematical and physical principles and giving the reader a clear understanding of how images are obtained and interpreted. Medical imaging and image computing are rapidly evolving fields, and this edition has been updated with the latest developments in the field, as well as new images and animations. An introductory chapter on digital image processing is followed by chapters on the imaging modalities: radiography, CT, MRI, nuclear medicine and ultrasound. Each chapter covers the basic physics and interaction with tissue, the image reconstruction process, image quality aspects, modern equipment, clinical applications, and biological effects and safety issues. Subsequent chapters review image computing and visualization for diagnosis and treatment. Engineers, physicists and clinicians at all levels will find this new edition an invaluable

Do you have a biological question that could be readily answered by computational techniques, but little experience in programming? Do you want to learn more about the core techniques used in computational biology and bioinformatics? Written in an accessible style, this guide provides a foundation for both newcomers to computer programming and those interested in learning more about computational biology. The chapters guide the reader through: a complete beginners' course to programming in Python, with an introduction to computing jargon; descriptions of core bioinformatics methods with working Python examples; scientific computing techniques, including image analysis, statistics and machine learning. This book also functions as a language reference written in straightforward English, covering the most common Python language elements and a glossary of computing and biological terms. This title will teach undergraduates, postgraduates and professionals working in the life sciences how t

Computers and the Law provides readers with an introduction to the legal issues associated with computing – particularly in the massively networked context of the Internet. Assuming no previous knowledge of the law or any special knowledge of programming or computer science, this textbook offers undergraduates of all disciplines and professionals in the computing industry an understanding of basic legal principles and an awareness of the peculiarities associated with legal issues in cyberspace. This is not a law school casebook, but rather a variety of carefully chosen, relevant cases presented in redacted form. The full cases are available on an ancillary Web site. The pervasiveness of computing in modern society has generated numerous legal ambiguities. This book introduces readers to the fundamental workings of the law in physical space and suggests the opportunity to create new types of laws with nontraditional goals.

Computing is an exact science and the systematic study of any aspect necessarily involves the use of mathematical models. Moreover, the rate at which the subject is evolving demands a facility for developing new mathematical systems to keep pace with new computing systems and this requires an appreciation of how mathematics works. An understanding of the underlying mathematical structure facilitates the construction of suitable computer programs to perform computations. Assuming no specific knowledge of mathematics, the authors describe all the basic concepts required and progress from sets (rather than numbers) through a variety of algebraic structures that permit the precise description, specification and subsequent analysis of many problems in computing. The material included provides the essential mathematical foundations for core topics of computer science and extends into the areas of language theory, abstract machine theory and computer geometry. Computer Mathematics will be of

"This book offers widespread knowledge on modern organizations and the complications of the current globalized computing environment"--Provided by publisher.

Provides insights into Oracle, covering such topics as cloud computing, DBA, PL/SQL, performance optimization methods, statistics, latches, and security.