This book explores the possible creation and impact of electronic markets underpinned by government. How far could electronic trade go? The author outlines a world in which open online marketplaces are routinely used to trade everything from office space to bicycle rental between individuals. Each transaction would be guaranteed by the system, not the reputation of the seller. Anyone could enter the market as an equal. The author argues that the electronic marketplaces of the future will have widespread and fundamental economic and social consequences. For more information about Guaranteed Electronic Markets visit the Gems Website at www.gems.org.uk

This newly revised edition of the highly successful 1997 book offers professionals and students an up-to-date, in-depth understanding of how payments are made electronically across the Internet. The second edition explores the very latest developments in this quickly expanding area, including the newest security techniques and methods, and features a completely new chapter on the exciting advances in mobile commerce. Pub 8/01.

Covers research on ODL systems, competence-based learning, the project process based on personal and group competencies, knowledge repository development, an ontological model of didactic materials, a theoretical game approach to motivational and incentive modelling, collaboration between a teacher and a team of students, and computer simulation Includes contributions from and is coedited by Prof. Emma Kusztina and Prof. Dr Zenon Gniazdowski, editor of Scientific Notebooks of the Warsaw School of Computer Science located on the list of the Ministry of Science and Higher Education Covers for the first time motivation modelling in ODL, collaboration modelling in ODL and incentive modelling in ODL Is illustrated throughout with excellent figures, a glossary and references to accompany each section

Describes the contribution of soft computing techniques towards a new paradigm shift Explores Soft Computing techniques in a systematic manner starting from their initial stage to recent developments in this area Presents a systematic application of fuzzy logic in mathematical sciences and decision-making. Examines the application of soft computing in health sciences and in the modeling of epidemics including the effects of vaccination Discusses the application of soft computing techniques in the modeling of infectious diseases

Photographers! Your guide is here! The demand for high-quality photographs is higher than ever. Whether you're building your influencer rating online, capturing the moments of a child's life, or are looking for ways to improve your skills, photography know-how is a must-have skill. Digital Photography For Dummies helps you do more than pointing, shooting, and hoping for the best or slapping a filter on a camera phone shot. This book introduces you to the camera settings and techniques that separate okay pictures from frame-worthy portraits. It then explains how to apply those skills to capturing your own portraits, landscape shots, and high-action photos. Develop a better eye for image composition Discover how to light photos better, including using natural light Learn to get quick results in auto settings or take full control in manual mode Discover the elements of exposure and how they influence the final product Find instructions on taking a formal or casual portrait Apply basic editing techniques to finalize your image Go beyond photo apps and apply the techniques pros use for their images.

This reference blends the concepts of optics and microwave theory. It is logically organized in two main parts, the first section deals with network analysis, while the second concentrates on signal analysis. As a whole, the text focuses on the fundamental aspects of optical networks. Methodology, rather than analysis, is the focus of the book. The discussion provides the tools you need to perform your own in-depth analysis of optical networks.

This book is a result of ISD2000-The Ninth International Conference on Infor mation Systems Development: Methods and Tools, Theory and Practice, held August 14-16, in Kristiansand, Norway. The ISD conference has its roots in the first Polish Scandinavian Seminar on Current Trends in Information Systems Development Method ologies, held in Gdansk, Poland in 1988. This year, as the conference carries into the new millennium this fine tradition, it was fitting that it returned to Scandinavia. Velkommen tilbake Next year, ISD crosses the North Sea and in the traditions of the Vikings, invades England. Like every ISD conference, ISD2000 gave participants an opportunity to express ideas on the current state of the art in information systems development, and to discuss and exchange views about new methods, tools and applications. This is particularly important now, since the field of ISD has seen rapid, and often bewildering, changes. To quote a Chinese proverb, we are indeed cursed, or blessed, depending on how we choose to look at it, to be "living in interesting times.""

Computational Intelligence (CI) has emerged as a novel and highly diversified paradigm supporting the design, analysis and deployment of intelligent systems. This book presents a careful selection of the field that very well reflects the breadth of the discipline. It covers a range of highly relevant and practical design principles governing the development of intelligent systems in data mining, robotics, bioinformatics, and intelligent tutoring systems. The lucid presentations, coherent organization, breadth and the authoritative coverage of the area make the book highly attractive for everybody interested in the design and analysis of intelligent systems.

Experts in research, industry, and academia cover recent trends and state-of-the art solutions in computer and communications engineering, focusing specifically on real-time applications of electronics, communications, computing, and information technology. The volume provides sound theoretical and application-oriented knowledge with a special focus on the development of safety-critical networks and integrated electrical and electronics systems. The volume also features numerous new algorithms that assist in solving computer and communication engineering problems.

As the number of Internet of Things (IoT) elements grows exponentially, their interactions can generate a massive amount of raw and multi-structured data. The challenge with this data explosion is to transform any raw data into information and knowledge, which can be used by people and systems to make intelligent decisions. Industrial IoT Application Architectures and Use Cases explores how artificial intelligence (AI), data analytics, and IoT technology combine to promote intelligent decision-making and automation in a range of industries. With faster, more stable AI algorithms and approaches, knowledge discovery and dissemination from IoT-device data can be simplified and streamlined. An era of powerful cognitive technology is beginning due to cloud-based cognitive systems that are forming the foundation of game-changing intelligent applications. This book presents next-generation use cases of IoT and IoT data analytics for a variety of industrial verticals as given below: An Intelligent IoT framework for smart water management An IoT-enabled smart traffic control system for congestion control and smart traffic management An intelligent airport system for airport management and security surveillance An IoT framework for healthcare to integrate and report patient information Fuzzy scheduling with IoT for tracking and monitoring hotel assets An IoT system for designing drainage systems and monitoring drainage pipes Predictive maintenance of plant equipment to decide the actual mean time to malfunction Integrated neural networks and IoT systems for predictive equipment maintenance IoT integration in blockchain for smart waste management This book also includes a chapter on the IoT paradigm and an overview of uses cases for personal, social, and industrial applications.

Whether the source is more industry-based or academic research, there certainly appears to be a growing interest in the field of cryptocurrency. The New York Times had a cover story on March 24, 2022, titled "Time to Enter the Crypto Zone?," and they talked about institutional investors pouring billions into digital tokens, salaries being taken in Bitcoins, and even Bitcoin ATMs in grocery stores. Certainly, there have been ups and downs in crypto, but it has a kind of alluring presence that tempts one to include crypto as part of one’s portfolio. Those who are "prime crypto-curious" investors are usually familiar with the tech/pop culture and feel they want to diversify a bit in this fast-moving market. Even universities are beginning to offer more courses and create "Centers on Cryptocurrency." Some universities are even requiring their students who take a crypto course to pay the course tuition via cryptocurrency. In response to the growing interest and fascination about the crypto industry and cryptocurrency in general, Cryptocurrency Concepts, Technology, and Applications brings together many leading worldwide contributors to discuss a broad range of issues associated with cryptocurrency. The book covers a wide array of crypto-related topics, including: Blockchain NFTs Data analytics and AI Crypto crime Crypto industry and regulation Crypto and public choice Consumer confidence Bitcoin and other cryptocurrencies. Presenting various viewpoints on where the crypto industry is heading, this timely book points out both the advantages and limitations of this emerging field. It is an easy-to-read, yet comprehensive, overview of cryptocurrency in the U.S. and international markets.

The Internet of Things (IoT) has made revolutionary advances in the utility grid as we know it. Among these advances, intelligent medical services are gaining much interest. The use of Artificial Intelligence (AI) is increasing day after day in fighting one of the most significant viruses, COVID-19. The purpose of this book is to present the detailed recent exploration of AI and IoT in the COVID-19 pandemic and similar applications. The integrated AI and IoT paradigm is widely used in most medical applications, as well as in sectors that deal with transacting data every day. This book can be used by computer science undergraduate and postgraduate students; researchers and practitioners; and city administrators, policy makers, and government regulators. It presents a smart and up-to-date model for COVID-19 and similar applications. Novel architectural and medical use cases in the smart city project are the core aspects of this book. The wide variety of topics it presents offers readers multiple perspectives on a variety of disciplines. Prof. Dr. Fadi Al-Turjman received his PhD in computer science from Queen's University, Kingston, Ontario, Canada, in 2011. He is a full professor and research center director at Near East University, Nicosia, Cyprus.

Placing contemporary technological developments in their historical context, this book argues for the importance of law in their regulation. Technological developments are focused upon overcoming physical and human constraints. There are no normative constraints inherent in the quest for ongoing and future technological development. In contrast, law proffers an essential normative constraint. Just because we can do something, does not mean that we should. Through the application of critical legal theory and jurisprudence to pro-actively engage with technology, this book demonstrates why legal thinking should be prioritised in emerging technological futures. This book articulates classic skills and values such as ethics and justice to ensure that future and ongoing legal engagements with socio-technological developments are tempered by legal normative constraints. Encouraging them to foreground questions of justice and critique when thinking about law and technology, the book addresses law students and teachers, lawyers and critical thinkers concerned with the proliferation of technology in our lives.

Key Features / Selling Points Unique selling point: * The only book to distill the CSEC2017 recommendations down into practical teaching approaches for K-12 classrooms Core audience: * Teachers and educators of cybersecurity, who may or may not have a background in the subject Place in the market: * First book of its kind

This book deals with how to measure innovation in crisis management, drawing on data, case studies, and lessons learnt from different European countries. The aim of this book is to tackle innovation in crisis management through lessons learnt and experiences gained from the implementation of mixed methods through a practitioner-driven approach in a large-scale demonstration project (DRIVER+). It explores innovation from the perspective of the end-users by focusing on the needs and problems they are trying to address through a tool (be it an app, a drone, or a training program) and takes a deep dive into what is needed to understand if and to what extent the tool they have in mind can really bring innovation. This book is a toolkit for readers interested in understanding what needs to be in place to measure innovation: it provides the know-how through examples and best practices. The book will be a valuable source of knowledge for scientists, practitioners, researchers, and postgraduate students studying safety, crisis management, and innovation.

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 II is composed of the last two parts. Part III examines reliability and availability modeling by covering a set of fundamental notions, definitions, redundancy procedures, and modeling methods such as Reliability Block Diagrams (RBD) and Fault Trees (FT) with the respective evaluation methods, adopts Markov chains, Stochastic Petri nets and even hierarchical and heterogeneous modeling to represent more complex systems. Part IV discusses performance measurements and reliability data analysis. It first depicts some basic measuring mechanisms applied in computer systems, then discusses workload generation. After, we examine failure monitoring and fault injection, and finally, we discuss a set of techniques for reliability and maintainability data analysis.

This book presents an introduction to strategies for qualitative digital social research on emotions in a digital world. The book emphasizes the connections that exist between emotional ecologies, emotions as texts, and the virtual / mobile / digital world that brings us closer to a hermeneutics of the practices of feeling. In the context of 'Society 4.0', the book explores: Changes in the organization of daily life and work in virtual, mobile and digital environments. The impact of apps and social networks on sensations, emotions and sensibilities. Necessary changes in social research to employ the power of these apps and networks for social enquiry. As such, this book shares a set of social inquiry practices developed and applied to capture and understand emotions today. It should be considered as a first step in a long journey of exploring the close connections between sensibilities, emotions, and social research methodology. The book will appeal to students and instructors of emotion studies from across the social sciences, including sociology, psychology, organization studies, ethnography, history, and political science.

Hidden and Devalued Feminized Labour in the Digital Humanities examines the data-driven labour that underpinned the Index Thomisticus-a preeminent project of the incunabular digital humanities-and advanced the data-foundations of computing in the Humanities. Through oral history and archival research, Nyhan reveals a hidden history of the entanglements of gender in the intellectual and technical work of the early digital humanities. Setting feminized keypunching in its historical contexts-from the history of concordance making, to the feminization of the office and humanities computing-this book delivers new insight into the categories of work deemed meritorious of acknowledgement and attribution and, thus, how knowledge and expertise was defined in and by this field. Focalizing the overlooked yet significant data-driven labour of lesser-known individuals, this book challenges exclusionary readings of the history of computing in the Humanities. Contributing to ongoing conversations about the need for alternative genealogies of computing, this book is also relevant to current debates about diversity and representation in the Academy and the wider computing sector. Hidden and Devalued Feminized Labour in the Digital Humanities will be of interest to researchers and students studying digital humanities, library and information science, the history of computing, oral history, the history of the humanities, and the sociology of knowledge and science.

Evaluates innovation policy and actions and considers real-world examples. Looks to the future of innovation and the role of future technologies. Provides an overview of recent policy trends in innovation and how they contribute to the creation of technology hotspots. Identifies how governments, industry, the research community and local communities can work together to craft individualised approaches to increasing innovation at a local level and building new industries.

This book gathers selected papers presented at the International Conference on Advances in Applied Probability and Stochastic Processes, held at CMS College, Kerala, India, on 7-10 January 2019. It showcases high-quality research conducted in the field of applied probability and stochastic processes by focusing on techniques for the modelling and analysis of systems evolving with time. Further, it discusses the applications of stochastic modelling in queuing theory, reliability, inventory, financial mathematics, operations research, and more. This book is intended for a broad audience, ranging from researchers interested in applied probability, stochastic modelling with reference to queuing theory, inventory, and reliability, to those working in industries such as communication and computer networks, distributed information systems, next-generation communication systems, intelligent transportation networks, and financial markets.

The application of 3D methodology has recently been receiving increasing attention at many PET centres, and this monograph is an attempt to provide a state-of-the-art review of this methodology, covering 3D reconstruction methods, quantitative procedures, current tomography performance, and clinical and research applications. No such review has been available until now to assist PET researchers in understanding and implementing 3D methodology, and in evaluating the performance of the available imaging technology. In all the chapters, the subject matter is treated in sufficient depth to appeal equally to the physicist or engineer who wishes to establish the methodology, and to PET investigators with experience in 2D PET who wish to familiarize themselves with the concepts and advantages of 3D, and to be made aware of the pitfalls.

One of the most cited books in physics of all time, Quantum Computation and Quantum Information remains the best textbook in this exciting field of science. This 10th anniversary edition includes an introduction from the authors setting the work in context. This comprehensive textbook describes such remarkable effects as fast quantum algorithms, quantum teleportation, quantum cryptography and quantum error-correction. Quantum mechanics and computer science are introduced before moving on to describe what a quantum computer is, how it can be used to solve problems faster than 'classical' computers and its real-world implementation. It concludes with an in-depth treatment of quantum information. Containing a wealth of figures and exercises, this well-known textbook is ideal for courses on the subject, and will interest beginning graduate students and researchers in physics, computer science, mathematics, and electrical engineering.

Discusses concepts such as Basic Programming Principles, OOP Principles, Database Programming, GUI Programming, Network Programming, Data Analytics and Visualization, Statistical Analysis, Virtual Reality, Web Development, Machine Learning, Deep Learning Provides the code and the output for all the concepts discussed Includes a case study at the end of each chapter

Technology Innovation discusses the fundamental aspects of processes and structures of technology innovation. It offers a new perspective concerning fundamentals aspects not directly involved in the complex relations existing between technology and the socio-economic system. By considering technology and its innovation from a scientific point of view, the book presents a novel definition of technology as a set of physical, chemical, and biological phenomena, producing an effect exploitable for human purposes. Expanding on the general model of technology innovation by linking the model of technology, based on a structure of technological operations, with the models of the structures for technology innovation, based on organization of fluxes of knowledge and capitals, the book considers various technological processes and the stages of the innovation process. Offers a perspective on the evolution of technology in the frame of an industrial platform network Explains a novel definition of technology as a set of physical, chemical, and biological phenomena producing an effect exploitable for human purposes Discusses technology innovation as result of structures organizing fluxes of knowledge and capitals Provides a technology model simulating the functioning of technology with its optimization Presents a technology innovation model explaining the territorial technology innovation process The book is intended for academics, graduate students, technology developers who are involved in operations management and research, innovation, and technology development.

The availability of today's online information systems rapidly increases the relevance of dynamic decision making within a large number of operational contexts. Whenever a sequence of interdependent decisions occurs, making a single decision raises the need for anticipation of its future impact on the entire decision process. Anticipatory support is needed for a broad variety of dynamic and stochastic decision problems from different operational contexts such as finance, energy management, manufacturing and transportation. Example problems include asset allocation, feed-in of electricity produced by wind power as well as scheduling and routing. All these problems entail a sequence of decisions contributing to an overall goal and taking place in the course of a certain period of time. Each of the decisions is derived by solution of an optimization problem. As a consequence a stochastic and dynamic decision problem resolves into a series of optimization problems to be formulated and solved by anticipation of the remaining decision process.

However, actually solving a dynamic decision problem by means of approximate dynamic programming still is a major scientific challenge. Most of the work done so far is devoted to problems allowing for formulation of the underlying optimization problems as linear programs. Problem domains like scheduling and routing, where linear programming typically does not produce a significant benefit for problem solving, have not been considered so far. Therefore, the industry demand for dynamic scheduling and routing is still predominantly satisfied by purely heuristic approaches to anticipatory decision making. Although this may work well for certain dynamic decision problems, these approaches lack transferability of findings to other, related problems.

This book has serves two major purposes:

It provides a comprehensive and unique view of anticipatory optimization for dynamic decision making. It fully integrates Markov decision processes, dynamic programming, data mining and optimization and introduces a new perspective on approximate dynamic programming. Moreover, the book identifies different degrees of anticipation, enabling an assessment of specific approaches to dynamic decision making.

It shows for the first time how to successfully solve a dynamic vehicle routing problem by approximate dynamic programming. It elaborates on every building block required for this kind of approach to dynamic vehicle routing. Thereby the book has a pioneering character and is intended to provide a footing for the dynamic vehicle routing community."