This book presents the development of a gaming quality model to predict the gaming Quality of Experience (QoE) of players that could be used for planning the network service or quality monitoring of cloud gaming services. The author presents a model that is developed following a modular structure approach that keeps the different types of impairments separately. The book shows how such a modular structure allows developing a sustainable model as each component can be updated by advances in that specific research area or technology. The presented gaming quality model takes into account two modules of video quality and input quality. The latter considers the interactivity aspects of gaming. The video quality module offers a series of models that differ depending on the level of access to the video stream information, allowing high flexibility for service providers regarding the positions of measuring points within their system. In summary, the present book focuses on (1) creation of multiple image/video and cloud gaming quality datasets, (2) development of a gaming video classification, and (3) development of a series of gaming QoE models to predict the gaming QoE depending on the level of access to the video stream information.

This book constitutes the refereed proceedings of the 12th IFIP TC 12 International Conference on Intelligent Information Processing, IIP 2022, held in Qingdao, China, in July 2022. The 37 full papers and 6 short papers presented were carefully reviewed and selected from 57 submissions. They are organized in topical sections on Machine Learning, Data Mining, Multiagent Systems, Social Computing, Blockchain Technology, Game Theory and Emotion, Pattern Recognition, Image Processing and Applications.

Gives broad perspective on 5G communications with a focus on smart cities Discusses artificial intelligence in future wireless communication and its applications Provides a systemic and comprehensive coverage of 6G technologies, challenges and use cases Explores role of future wireless in safety, health, and transport in smart cities Includes case studies of future wireless communications

1. Covers latest concepts in intelligent analytics for industry 4.0. 2. Presents the applications of intelligent analytics for various industry 4.0 domains. 3. Covers latest research topics in the field. 4. Written in a comprehensive and simple manner. 5. The text is accompanied by tables and illustrative figures for better understanding of the topic.

This book provides insights on how to approach and utilize data science tools, technologies and methodologies related to artificial intelligence (AI) in industrial contexts. It explains the essence of distributed computing and AI-technologies, and their inter-connections. Description of various technology and methodology approaches, and their purpose and benefits when developing AI-solution in industrial contexts is included. In addition, it summarizes experiences from AI technology deployment projects from several industrial sectors. Features: Presents compendium of methodologies and technologies in Industrial AI and digitalization. Illustrates sensor to actuation approach showing complete cycle, that defines and differences AI and digitalization concept. Covers a broad range of academic and industrial issues within the field of asset management. Discusses impact of Industry 4.0 in other sectors. Includes a dedicated chapter on real-time case studies. This book is aimed at researchers and professionals in industrial and software engineering, network security, AI and ML, engineering managers, operational and maintenance specialists, asset managers, digital and AI manufacturing specialists.

Unique selling point: • Complete coverage of intelligent vehicle networks with deep learning tools. Core audience: • Researchers and postgraduates studying UAV communication systems, as well as industry engineers and technicians Place in the market: • Many advanced UAV communication protocols and modeling details will be provided. Thus, it is more like an engineering/science design reference instead of a common introduction book.

Focusses on prospective scenarios in health to foresight possible futures Addresses the urgent needs of the key population, socio-technical, and health themes Covers health innovative practices as 3D models for surgeries, big data to treat rare diseases, AI robot for heart treatments Explores telemedicine using big data, deep learning, robotics, mobile and remote applications Reviews public health based on predictive analytics and disease trends

Unique selling point: A rigorous examination of the influence of software development on competitiveness among small firms Core audience: Researchers and academics in business and MIS Place in the market: Academic reference with audiences in social science and computer science

The primary purpose of this book is to present the state-of-the-art of mobile cloud computing and applications with an emphasis on energy-efficiency. The future research directions are also highlighted in this book to enrich the global market-place of mobile cloud computing services facilitating the scientific, industrial, business, and consumer applications. We expect that the book will serve as a reference to a large number of readers including researchers, system architects, practitioners, and graduate-level students. This book focuses on an emerging area that has considerable research interest, momentum, and interest of commercial developers. The target reader of this book are professional developers, under-graduate and post-graduate students, and researchers. As mobile cloud computing, as well as green computing, will have a major impact on the quality of science and society over the next few years, its knowledge will enrich our readers to be at the forefront of the field. This book reports the latest research advances in the area of green mobile cloud computing. The book covers the architecture, services, methods, applications, and future research directions of green mobile cloud computing.

Information technology (IT) use has generally been regarded as a positive phenomenon which always generates desirable outcomes. Recent years, however, have witnessed increasing negative consequences resulted from IT use. Emerging issues include individual users have experienced technostress from personal social media usage as well as IT use in the workplace; and organisations have experienced a loss in productivity and assets due to employees' non-compliance with information security policies.Themes explored throughout the book include: AI and its Implications for Organisations Augmented Reality Cognitive Absorption of Technology Information Technology in Organisations and Societies: Multidisciplinary Perspectives from AI to Technostress represents a collective effort that not only consolidates studies on key issues and phenomena concerning the positive and negative aspects of IT use but also prescribes future research avenues in related research domains. It is particularly relevant to academics and researchers working on IT use research and can be used as a handy reference guide by those working in the field.

Organizations spend large amounts of money to purchase, deploy, and optimize their Electronic Health Records (EHRs). They are not plug-n-play systems so a commitment to an ongoing improvement cycle is necessary. When done well, this responds to the people, the process, and the technology. When not done well, complete failure of the system could result in costing the organization thousands of dollars. Based on the foundational premise that EHR governance done right speeds up change and leads to a positive user experience, this book draws upon more than a decade of work with government, academic, and nonprofit organizations using Epic, Allscripts, McKesson, Meditech, and Cerner. Designed to be practical and pragmatic, it outlines a strategic process that can scale to small and large organizations alike. It begins with how to articulate a clear vision to organizational leaders so they can champion strong EHR governance both theoretically and financially. It then walks through each step required for leading successful change, calling out critical lessons learned to help the reader avoid pitfalls and achieve measurable improvement more rapidly. It concludes with a commitment to ongoing growth and refinement through benchmarked metrics, innovation, and out-of-the-box thinking.

Organizations spend large amounts of money to purchase, deploy, and optimize their Electronic Health Records (EHRs). They are not plug-n-play systems so a commitment to an ongoing improvement cycle is necessary. When done well, this responds to the people, the process, and the technology. When not done well, complete failure of the system could result in costing the organization thousands of dollars. Based on the foundational premise that EHR governance done right speeds up change and leads to a positive user experience, this book draws upon more than a decade of work with government, academic, and nonprofit organizations using Epic, Allscripts, McKesson, Meditech, and Cerner. Designed to be practical and pragmatic, it outlines a strategic process that can scale to small and large organizations alike. It begins with how to articulate a clear vision to organizational leaders so they can champion strong EHR governance both theoretically and financially. It then walks through each step required for leading successful change, calling out critical lessons learned to help the reader avoid pitfalls and achieve measurable improvement more rapidly. It concludes with a commitment to ongoing growth and refinement through benchmarked metrics, innovation, and out-of-the-box thinking.

As a foreword, here we publish an email letter of Late Professor Herb Simon, Nobel Laureate, that he wrote on the occasion ofthe death of the fatherofa friend. This letterofcondolence, more than any other wisdom, tells about the essence of the process of scientific creation, which is so important for both, the specific subject being covered by this book, and for the general science. When asked to address an SSGRR conference in Italy, prior to his death, Professor Herb Simon agreed that these lines be presented to all those who are interested in understanding the real essence oftheir own scientific struggle. Dear Professor Milutinovic: I want to extend my deepest sympathy to you and your family on the death of your father. His career was a very distinguished one, and his life spanned a most complex and difficult sequence of epochs in your country's history. Our generation (I am just a year younger than he was), like all its predecessors, leaves many tasks - hopefully no more than it inherited - for the next generation to take up; but even knowing that it must be so does not remove one's senseofloss in the parting.

This book covers the relationship of recent technologies (such as Blockchain, IoT, and 5G) with the cloud computing as well as fog computing, and mobile edge computing. The relationship will not be limited to only architecture proposal, trends, and technical advancements. However, the book also explores the possibility of predictive analytics in cloud computing with respect to Blockchain, IoT, and 5G. The recent advancements in the internet-supported distributed computing i.e. cloud computing, has made it possible to process the bulk amount of data in a parallel and distributed. This has made it a lucrative technology to process the data generated from technologies such as Blockchain, IoT, and 5G. However, there are several issues a Cloud Service Provider (CSP) encounters, such as Blockchain security in cloud, IoT elasticity and scalability management in cloud, Service Level Agreement (SLA) compliances for 5G, Resource management, Load balancing, and Fault-tolerance. This edited book will discuss the aforementioned issues in connection with Blockchain, IoT, and 5G. Moreover, the book discusses how the cloud computing is not sufficient and one needs to use fog computing, and edge computing to efficiently process the data generated from IoT, and 5G. Moreover, the book shows how smart city, smart healthcare system, and smart communities are few of the most relevant IoT applications where fog computing plays a significant role. The book discusses the limitation of fog computing and the need for the edge computing to further reduce the network latency to process streaming data from IoT devices. The book also explores power of predictive analytics of Blockchain, IoT, and 5G data in cloud computing with its sister technologies. Since, the amount of resources increases day-by day, artificial intelligence (AI) tools are becoming more popular due to their capability which can be used in solving wide variety of issues, such as minimize the energy consumption of physical servers, optimize the service cost, improve the quality of experience, increase the service availability, efficiently handle the huge data flow, manages the large number of IoT devices, etc.

The rise of social software and the proliferation of social networking tools represents a relatively recent cultural phenomenon. The attitudes and behaviors of virtual communities and social groups goes beyond the distributed technological platforms being deployed and requires new conceptualizations and understandings of communities and their corresponding ontologies. ""The Handbook of Research on Social Software and Developing Community Ontologies"" examines the impact of new technologies and explores how social software and developing community ontologies are challenging the way we operate in a connected, distributed, and increasingly performative space. Through authoritative contributions by a vast group of international experts in this subject area, this book provides important new insights into where new social technologies and emergent behaviors are leading us.

This book describes the trends in digital innovation that are of most importance for businesses and explores the key challenges. The book is in three parts, the first of which focuses on developments in digital systems. Here, the ever-growing relevance of big data, cloud computing, and mobile services for business is discussed, and detailed consideration is given to the importance of social listening for understanding user behavior and needs and the implications of IT consumerization. In the second part, trends in digital management are examined, with chapters devoted to work practice, digital business identity as well as branding and governance. The final part of the book presents and reviews case studies of digital innovation at the global level that provide a benchmark of best practices, with inclusion of instructive fact sheets. While the book offers academic coverage of the digital transformation of business organizations and the associated challenges, it also describes concrete, real-world issues in clear, easy-to-understand language and will serve as a toolbox for managers that can be readily consulted. The text is supported by informative illustrations and tables, and practitioners will also benefit from the reported case studies and highlighted insights and recommendations.

Focuses on the latest development in Big IoT Data Analytics Presents different issues of Security and Privacy Analytics for Fog-enabled IoT system Offers the latest Big Data Technologies for security analytics in Fog-enabled IoT Network Discusses the emerging role of Big Data Analytics and Technologies in detection of Cyberattacks in IoT networks Presents the prospects on Big IoT Data Analytics in Fog-enabled IoT system

Unique selling point: • This book combines risk management, cybersecurity and behavioral and decision science in one book with case studies, mitigation plans, and a new risk framework to address cognitive risks. Core audience: • Corporate and government risk, audit, IT security and compliance organisations Place in the market: • Cognitive Risks differs from competitive books by reframing the role of human behavior in risk.

The book is distinctive in its application of the early philosophy of Ludwig Wittgenstein to misinformation analysis. It also proposes a new theory of information quality. The book is timely as the issue of online information quality (especially on social media platforms) is now front-page news. The book proffers an alternative to the algorithmic engagement-based ranking of content by social media platforms: a new system for ranking online content based on information quality. The book also introduced two new concepts to the scholarly literature: “off-information� and “non-information�.

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.

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 Definitive Guide to Interwoven TeamSite is the first comprehensive book on this enterprise-level content management system, guiding the reader through the product Architecture, key features, and a detailed implementation of the product by way of a case-study involving a hypothetical financial services firm. Along the way, the authors share key development and deployment principles gained throughout their several years of working in enterprise CMS environments.

Divided into five parts, the material is presented in much the same way one might expect when considering a large-scale CMS project: Introduction, Inception, Elaboration, Construction, and Transition. Each part introduces the concepts and TeamSite features readers will need to understand in order to carry out that aspect of the project. Complete with a working implementation and numerous visual guides, the authors painstakingly layout the project process. Finally an Epilogue which discusses future product releases.

As today's most complex computing environment, the Internet confronts IT researchers, system designers, and application developers with completely new challenges and, as a fascinating new computing paradigm, agent technology has recently attracted broad interest and strong hopes for shaping the future information society. Relating both, the Internet and agents, opens up a whole new range of advanced applications in vibrant subfields of information technology such as middleware, mobile commerce, e-learning, collaborative working, and intelligent information services. Many modern advanced systems are likely to exploit Internet agents - and exploiting Internet agents mostly means dealing with coordination models and technologies of various sorts. This monograph-like anthology is the first systematic guide to models and enabling technologies for the coordination of intelligent agents on the Internet and respective applications.

This book constitutes the refereed proceedings of five International Workshops held as parallel events of the 18th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2022, virtually and in Hersonissos, Crete, Greece, in June 2022: the 11th Mining Humanistic Data Workshop (MHDW 2022); the 7th 5G-Putting Intelligence to the Network Edge Workshop (5G-PINE 2022); the 1st workshop on AI in Energy, Building and Micro-Grids (AIBMG 2022); the 1st Workshop/Special Session on Machine Learning and Big Data in Health Care (ML@HC 2022); and the 2nd Workshop on Artificial Intelligence in Biomedical Engineering and Informatics (AIBEI 2022). The 35 full papers presented at these workshops were carefully reviewed and selected from 74 submissions.