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Books > Computing & IT > General theory of computing > General
This book explores quantum computing as a transformative technology and its applications in communications, cryptography, teleportation, IoT, AI, and blockchain, in addition to the revolutionary concept of quantum internet. It also explains the concept of dark, small, thick data, and clarifies what the concept of a data lake. Other exciting technologies like edge/fog computing, CDN, SDN, wearable technology and IoE topics are discussed in details in the book. Information security applications like zero trust model, zero-day vulnerability and heuristic analysis, and use of AI in cybersecurity are explored. Two of the most intriguing concepts in computing "affective computing" and "autonomic computing" are explained and simplified. The blockchain applications presented include blockchain and supply chain, crowdsourcing, cryptocurrency, and IoT. The book ends with a look at using technology to fight COVID-19 and future pandemics.
This book applies both industrial engineering and computational intelligence to demonstrate intelligent machines that solve real-world problems in various smart environments. The title presents fundamental concepts and the latest advances in Multi-Criteria Decision Making (MCDM) techniques and their application to smart environments. Though managers and engineers often use multi-criteria analysis in making complex decisions, many core problems are too difficult to model mathematically or have simply not yet been modelled. In response, as well as AI-based approaches, this book covers various optimization techniques, decision analytics and data science in applying soft computing techniques to a defined set of smart environments, including smart and sustainable cities, disaster response systems and smart campuses. This state-of-the-art book will be essential reading for both undergraduate and graduate students, researchers, practitioners and decision makers interested in advanced MCDM techniques for management and engineering in relation to smart environments.
1. The book will discuss most relevant real-life applications and case studies of Network Technologies. 2. The book will provide deeper knowledge regarding emerging research trends and future research directions in Network Technologies. 3. The book will provide theoretical, algorithmic, simulation, and implementation-based research developments in Network Technologies. 4. The book will follow theoretical approach to describe fundamentals of Network Technologies for the beginners as well as practical approach to depict simulation and implementation of real-life applications for intermediate and advanced readers.
Contains papers presented at the Third International Symposium on
Computer Methods in Biomechanics and Biomedical Engineering (1997),
which provide evidence that computer-based models, and in
particular numerical methods, are becoming essential tools for the
solution of many problems encountered in the field of biomedical
engineering. The range of subject areas presented include the
modeling of hip and knee joint replacements, assessment of fatigue
damage in cemented hip prostheses, nonlinear analysis of hard and
soft tissue, methods for the simulation of bone adaptation, bone
reconstruction using implants, and computational techniques to
model human impact. Computer Methods in Biomechanics and Biomedical
Engineering also details the application of numerical techniques
applied to orthodontic treatment together with introducing new
methods for modeling and assessing the behavior of dental implants,
adhesives, and restorations.
This text provides a process oriented discussion of the theory, methodology and philosophy of geologic and mine modelling using two commercial software packages: Techbase, a leader for mineral exploration and modelling bedded deposits; and Lynx, for modelling geology.
'IT in Business: A Manager's Casebook' examines the impact of new IT initiatives from the business angle. The case material is derived from the year's best research projects from three leading UK Business Schools - Bath, Cranfield and Warwick.
This book is about information systems development failures and how
to avoid them.
Helping you understand the technological foundations for a wide range of digital devices, New Perspectives Computer Concepts Comprehensive, 21st edition, presents what every learner should know about using technology to complete your education, launch a successful career and engage in issues that shape today's world. The book's proven learning path is structured with today's busy reader in mind. Leading tech author June Parsons combines the latest on emerging technology with detailed illustrations and interactive activities that help you quickly understand technical topics. This edition provides updated information on current operating systems, digital rights management, the deep web and dark web, videoconferencing, the pandemic's impact on tech jobs, work-at-home and more. A unique module provides a hands-on introduction to programming, while MindTap offers anywhere, anytime learning solutions.
In this book, Kathleen Tyner examines the tenets of literacy
through a historical lens to demonstrate how new communication
technologies are resisted and accepted over time. New uses of
information for teaching and learning create a "disconnect" in the
complex relationship between literacy and schooling, and raise
questions about the purposes of literacy in a global, networked,
educational environment. The way that new communication
technologies change the nature of literacy in contemporary society
is discussed as a rationale for corresponding changes in schooling.
This book describes, for the first time in pedagogical form, an
approach to computer-based work in complex sociotechnical systems
developed over the last 30 years by Jens Rasmussen and his
colleagues at Riso National Laboratory in Roskilde, Denmark. This
approach is represented by a framework called "cognitive work
analysis." Its goal is to help designers of complex sociotechnical
systems create computer-based information support that helps
workers adapt to the unexpected and changing demands of their jobs.
In short, cognitive work analysis is about designing for
adaptation.
This text in the series "Innovations in GIS", continues the theme of directions in geographical information systems research established by the four previous Research UK (GISRUK) conferences. The chapters reflect the interdisciplinary nature of GIS research and includes coverage of such themes as: virtual GIS; spatial analysis; artificial intelligence; spatial agents and fuzzy systems; and space-time GIS and GIS applications.
Considering computer contracting? If you are, then read this book. It explores the many aspects of the computer contracting world and gives sound practical advice to both the newcomer and the experienced contractor. It will also be invaluable if you are an employer wrestling with the perennial problem of finding staff in this highly competitive marketplace. Let this book show you how to break loose from being an employee to working freelance. The author, a freelancer himself, considers what it takes to become a contract worker and gives you invaluable information throughout to help you get started in the world of computer contracting. This book looks at: * why contract workers are used at all - what kind of companies actually employ contractors, and why? * how you make the transition from full-time working - what does it actually take temperamentally to be a successful contractor? * how you start - what does forming your own company involve, and why is it even necessary? * how you go about finding a contract, and negotiating the right rate. * what agencies do for you - and how can you find who are the best? * the financial differences between being a full-time employee and a contractor - how do you manage your affairs? * how you keep your experience up to date when you do not have a regular employer to help train you. * what sort of opportunities are available, and what sort of rates of pay you can expect. * your possible career progressions after contracting. The contracting scene is ever changing. In this wide-ranging book, the current outlook for contract staff is analysed as well as the trends in the computer industry which are driving these changes. Some doors are opening whilst other close - let this book be your guide. If you have marketable skills, the right attitude and would like to be your own boss, there could not be a better time to consider computer contracting.
This revised text provides an updated account of principles and survey modelling in hydraulic, coastal and offshore engineering. Topics covered include discrete forms of conservation laws, numerical methods, the foundations of computational hydraulics, and applications of computational hydraulics.
Hypertext, email, word-processing: electronic technologies have
revolutionized the way we write language. How does language on
screen work differently from language on the page? What new
literacy skills are needed and how do we teach them?
Today's healthcare organizations must focus on a lot more than just the health of their clients. The infrastructure it takes to support clinical-care delivery continues to expand, with information technology being one of the most significant contributors to that growth. As companies have become more dependent on technology for their clinical, administrative, and financial functions, their IT departments and expenditures have had to scale quickly to keep up. However, as technology demands have increased, so have the options for reliable infrastructure for IT applications and data storage. The one that has taken center stage over the past few years is cloud computing. Healthcare researchers are moving their efforts to the cloud because they need adequate resources to process, store, exchange, and use large quantities of medical data. Cloud Computing in Medical Imaging covers the state-of-the-art techniques for cloud computing in medical imaging, healthcare technologies, and services. The book focuses on Machine-learning algorithms for health data security Fog computing in IoT-based health care Medical imaging and healthcare applications using fog IoT networks Diagnostic imaging and associated services Image steganography for medical informatics This book aims to help advance scientific research within the broad field of cloud computing in medical imaging, healthcare technologies, and services. It focuses on major trends and challenges in this area and presents work aimed to identify new techniques and their use in biomedical analysis.
An ideal reference source for CEOs, marketing and sales managers, sales consultants, and students of international marketing, Guide to Software Export provides a step-by-step approach to initiating or expanding international software sales. It teaches you how to examine critically your candidate product for exportability; how to find distributors, agents, and resellers abroad; how to identify the best distribution structure for export; and much, much more Not content with providing just the guidelines for setting up, expanding, and managing your international sales channels, Guide to Software Export advises you on pitfalls to avoid, important legal and financial considerations associated with software export, and essential market and distribution information. In an effort to cover all the bases, this comprehensive text also discusses: negotiating partnerships electronic marketing evaluating the competition cultural assumptions and biases adapting software for use in Asian markets information sources on the Internet distribution channel strategiesIf you re not satisfied with your company 's international sales performance or you want to get into the global market, Guide to Software Export can help you guide your company through the transition. With the book 's easy-to-follow advice and checkpoints, you are sure to bring new levels of success to your company, so act now and get out in the forefront of software exporting.
Data is an intrinsic part of our daily lives. Everything we do is a data point. Many of these data points are recorded with the intent to help us lead more efficient lives. We have apps that track our workouts, sleep, food intake, and personal finance. We use the data to make changes to our lives based on goals we have set for ourselves. Businesses use vast collections of data to determine strategy and marketing. Data scientists take data, analyze it, and create models to help solve problems. You may have heard of companies having data management teams or chief information officers (CIOs) or chief data officers (CDOs), etc. They are all people who work with data, but their function is more related to vetting data and preparing it for use by data scientists. The jump from personal data usage for self-betterment to mass data analysis for business process improvement often feels bigger to us than it is. In turn, we often think big data analysis requires tools held only by advanced degree holders. Although advanced degrees are certainly valuable, this book illustrates how it is not a requirement to adequately run a data science project. Because we are all already data users, with some simple strategies and exposure to basic analytical software programs, anyone who has the proper tools and determination can solve data science problems. The process presented in this book will help empower individuals to work on and solve data-related challenges. The goal of this book is to provide a step-by-step guide to the data science process so that you can feel confident in leading your own data science project. To aid with clarity and understanding, the author presents a fictional restaurant chain to use as a case study, illustrating how the various topics discussed can be applied. Essentially, this book helps traditional businesspeople solve data-related problems on their own without any hesitation or fear. The powerful methods are presented in the form of conversations, examples, and case studies. The conversational style is engaging and provides clarity.
"A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goes all the way to the frontiers of the subject such as infinite mixture models, GPs, and MCMC." -Devdatt Dubhashi, Professor, Department of Computer Science and Engineering, Chalmers University, Sweden "This textbook manages to be easier to read than other comparable books in the subject while retaining all the rigorous treatment needed. The new chapters put it at the forefront of the field by covering topics that have become mainstream in machine learning over the last decade." -Daniel Barbara, George Mason University, Fairfax, Virginia, USA "The new edition of A First Course in Machine Learning by Rogers and Girolami is an excellent introduction to the use of statistical methods in machine learning. The book introduces concepts such as mathematical modeling, inference, and prediction, providing 'just in time' the essential background on linear algebra, calculus, and probability theory that the reader needs to understand these concepts." -Daniel Ortiz-Arroyo, Associate Professor, Aalborg University Esbjerg, Denmark "I was impressed by how closely the material aligns with the needs of an introductory course on machine learning, which is its greatest strength...Overall, this is a pragmatic and helpful book, which is well-aligned to the needs of an introductory course and one that I will be looking at for my own students in coming months." -David Clifton, University of Oxford, UK "The first edition of this book was already an excellent introductory text on machine learning for an advanced undergraduate or taught masters level course, or indeed for anybody who wants to learn about an interesting and important field of computer science. The additional chapters of advanced material on Gaussian process, MCMC and mixture modeling provide an ideal basis for practical projects, without disturbing the very clear and readable exposition of the basics contained in the first part of the book." -Gavin Cawley, Senior Lecturer, School of Computing Sciences, University of East Anglia, UK "This book could be used for junior/senior undergraduate students or first-year graduate students, as well as individuals who want to explore the field of machine learning...The book introduces not only the concepts but the underlying ideas on algorithm implementation from a critical thinking perspective." -Guangzhi Qu, Oakland University, Rochester, Michigan, USA
Documents, such as drawings, memos and specifications, form an essential function in the design and construction industry. Throughout the lifecycle of a built asset, starting from an initial design idea, right through to a final built form and its ongoing management, thousands, even millions of documents can be used to convey various forms of information to a range of interested parties. In many ways, therefore, the success of a design, or construction-based company, relies upon an understanding of the use of documents, as well as the technologies and techniques that are used to create them. The Digital Document provides an extensive background to the
issues and technologies surrounding this very important topic. It
examines a technical subject in an insightful manner that is
neither intimidating nor confusing, even to the novice computer
user. By introducing the subject through a series of preliminary
reviews of current practices and essential computing technologies,
the reader is able to better appreciate the benefits and
capabilities of a wide range of digital document types. This book
explores the role of documents in a professional practice, examines
the components, capabilities, viability, and use of digital
documents in the design and construction industry, and identifies
and explains many of the
Translating traditional coaching methods and competencies for use in the online world, this informative and timely guide shows coaches how to transform their face-to-face practice into one that utilises technological means of communication with clients, mentors, and everyone else associated with their practice. The book offers up-to-the-minute practical and ethical information from two world-expert coaches, leaning on their combined 50 years of experience and study. It covers the practice of online coaching via email, chat, audio/telephone and video methods, as well as the ethics of online coaching (including an ethical framework), case material, supervision, mentoring and training, and a look into the future of the coaching profession in light of technological developments and the culture of cyberspace. Whether you are a coach-in-training or established Coaching Master, this book is an accessible and invaluable tool for taking and maintaining your coaching services online.
Prepare for the coming convergence of AI and quantum computing A collection of essays from 20 renowned, international authors working in industry, academia, and government, Convergence: Artificial Intelligence and Quantum Computing explains the impending convergence of artificial intelligence and quantum computing. A diversity of viewpoints is presented, each offering their view of this coming watershed event. In the book, you'll discover that we're on the cusp of seeing the stuff of science fiction become reality, with huge implications for ripping up the existing social fabric, global economy, and current geopolitical order. Along with an incisive foreword by Hugo- and Nebula-award winning author David Brin, you'll also find: Explorations of the increasing pace of technological development Explanations of why seemingly unusual and surprising breakthroughs might be just around the corner Maps to navigate the potential minefields that await us as AI and quantum computing come together A fascinating and thought-provoking compilation of insights from some of the leading technological voices in the world, Convergence convincingly argues that we should prepare for a world in which very little will remain the same and shows us how to get ready.
The advent of very compact, very powerful digital computers has
made it possible to automate a great many processes that formerly
required large, complex machinery. Digital computers have made
possible revolutionary changes in industry, commerce, and
transportation. This book, an expansion and revision of the
author's earlier technical papers on this subject, describes the
development of automation in aircraft and in the aviation system,
its likely evolution in the future, and the effects that these
technologies have had -- and will have -- on the human operators
and managers of the system. It suggests concepts that may be able
to enhance human-machine relationships in future systems. The
author focuses on the ability of human operators to work
cooperatively with the constellation of machines they command and
control, because it is the "interactions among" these system
elements that result in the system's success or failure, whether in
aviation or elsewhere.
This textbook intends to be a comprehensive and substantially self-contained two-volume book covering performance, reliability, and availability evaluation subjects. The volumes focus on computing systems, although the methods may also be applied to other systems. The first volume covers Chapter 1 to Chapter 14, whose subtitle is ``Performance Modeling and Background". The second volume encompasses Chapter 15 to Chapter 25 and has the subtitle ``Reliability and Availability Modeling, Measuring and Workload, and Lifetime Data Analysis". This text is helpful for computer performance professionals for supporting planning, design, configuring, and tuning the performance, reliability, and availability of computing systems. Such professionals may use these volumes to get acquainted with specific subjects by looking at the particular chapters. Many examples in the textbook on computing systems will help them understand the concepts covered in each chapter. The text may also be helpful for the instructor who teaches performance, reliability, and availability evaluation subjects. Many possible threads could be configured according to the interest of the audience and the duration of the course. Chapter 1 presents a good number of possible courses programs that could be organized using this text. Volume I is composed of the first two parts, besides Chapter 1. Part I gives the knowledge required for the subsequent parts of the text. This part includes six chapters. It covers an introduction to probability, descriptive statistics and exploratory data analysis, random variables, moments, covariance, some helpful discrete and continuous random variables, Taylor series, inference methods, distribution fitting, regression, interpolation, data scaling, distance measures, and some clustering methods. Part II presents methods for performance evaluation modeling, such as operational analysis, Discrete-Time Markov Chains (DTMC), and Continuous Time Markov Chains (CTMC), Markovian queues, Stochastic Petri nets (SPN), and discrete event simulation.
This book, about a newly emerging area of research in instructional
technology, has as its title the acronym "CSCL." Initially, CSCL
was chosen as an acronym for Computer-Supported Collaborative
Learning. However, some would argue that "collaborative" is often
not a descriptive term for what learners do in instructional
settings; further, as the field develops, the technology used to
support collaboration may not always involve computers, at least
not in the direct ways they have been used to support instruction
in the past. To avoid getting bogged down in this terminological
debate, this book uses CSCL as a designation in its own right,
leaving open to interpretation precisely what words it stands for.
Conducting computer analyses for the purposes of revealing
information of significance to the press represents an extension of
one of the most important forms of American journalism into the
contemporary era of new technologies. Investigative reporting had
its start with the establishment of the metropolitan newspaper
during the early decades of the 1900s. At the time, it was a
continuation of the evolving tradition of freedom of the press that
had characterized American political life since colonial times. As
it developed, investigative reporting stressed "facts" rather than
the opinions of the editor or reporter. In turn, that tradition had
its own intellectual roots. Today, computer-assisted investigative
reporting (CAIR) extends that "marketplace of ideas" into
systematic examinations of the electronic records of government. In
addition, computer analyses of other kinds of information
systematically gathered by journalists can provide the press with
insights into trends and patterns unlikely to be revealed by other
means. |
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