The field of information technology continues to advance at a brisk pace, including the use of Remote Laboratory (RL) systems in education and research. To address the needs of remote laboratory development for such purposes, the authors present a new state-of-the-art unified framework for RL system development. Included are solutions to commonly encountered RL implementation issues such as third-party plugin, traversing firewalls, cross platform running, and scalability, etc. Additionally, the book introduces a new application architecture of remote lab for mobile-optimized RL application development for Mobile Learning (M-Learning). It also shows how to design and organize the remote experiments at different universities and make available a framework source code. The book is intended to serve as a complete guide for remote lab system design and implementation for an audience comprised of researchers, practitioners and students to enable them to rapidly and flexibly implement RL systems for a range of fields.

Whether you're taking the CPHIMS exam or simply want the most current and comprehensive overview in healthcare information and management systems today, this completely revised and updated fourth edition has it all. But for those preparing for the CPHIMS exam, this book is also an ideal study partner. The content reflects the outline of exam topics covering healthcare and technology environments; clinical informatics; analysis, design, selection, implementation, support, maintenance, testing, evaluation, privacy and security; and management and leadership. Candidates can challenge themselves with the sample multiple-choice questions given at the end of the book. The benefits of CPHIMS certification are broad and far-reaching. Certification is a process that is embraced in many industries, including healthcare information and technology. CPHIMS is recognized as the 'gold standard' in healthcare IT because it is developed by HIMSS, has a global focus and is valued by clinicians and non-clinicians, management and staff positions and technical and nontechnical individuals. Certification, specifically CPHIMS certification, provides a means by which employers can evaluate potential new hires, analyze job performance, evaluate employees, market IT services and motivate employees to enhance their skills and knowledge. Certification also provides employers with the evidence that the certificate holders have demonstrated an established level of job-related knowledge, skills and abilities and are competent practitioners of healthcare IT.

The agile transformation is an act of transforming an organization's form or nature gradually to one that can embrace and thrive in a flexible, collaborative, self-organizing, and fast-changing environment. It seems like most of the companies starting an agile transformation never reach the goal of agility, but there are those few that truly become agile and reap incredible benefits by utilizing DevOps as well. This book introduces the theory and practice of the "double-flywheels model" of Continuous Delivery 2.0: Discovery Loop, which allows information technology (IT) organizations to help businesses figure out the most efficacious ways to develop. Additionally, it explores applications of the Verification Loop that allows IT organizations to deliver value quickly and safely with high quality. Along the way, the book provides an array of insights and case studies that dive into all the aspects of software delivery, and how to implement Continuous Delivery in the most economical way for long-run business development. Features Organization culture and software architecture Business requirement management Pipeline and tooling Branching and releasing strategy Automation strategy Configuration and artefacts management Deployment and production healthy The case studies at the end of the book-scenarios in which the author was personally involved-are explored in depth and meticulously detailed in order to represent typical agile transition scenarios that will benefit all readers.

This book is a study guide for Huawei (HCNA) certification. It has been written to help readers understand the principles of network technologies. It covers topics including network fundamentals, Ethernet, various protocols such as those used in routing, and Huawei's own VRP operating system-all essential aspects of HCNA certification. Presenting routing and switching basics in depth, it is a valuable resource for information and communications technology (ICT) practitioners, university students and network technology fans.

The widespread adoption of smartphones has led to an explosion of mobile social media data, more than a billion messages per day that continuously track location, content, and time. Social Media in the Contemporary City focuses on the effects of social media on local communities and urban space in a variety of political and economic settings related to social activism, informal economic activity, public art, and global extremism. The book covers events ranging from Banksy art installations, mobile food trucks, and underground restaurants, to a Black Lives Matter protest, the Christchurch mosque shootings, and the Pulse nightclub shooting. The interplay between urban space, local community, and social media in each case study requires diverse methodologies that are both computational (i.e. machine learning, social network analysis, and natural language processing) and ethnographic (i.e. semi-structured interviews, thematic analysis, and site analysis). The book views social media not as a replacement for the local community or urban space but rather as a translation of the uses and meanings of all three realms. The book will be of interest to students, researchers, and instructors in a number of disciplines including urban design/planning, media studies, geography, and communications.

is the first book to set out a range of machine learning methods for efficient resource management in a large distributed network of clouds. predictive analytics is an integral part of efficient cloud resource management, and this book gives a future research direction to researchers in this domain. it is written by leading international researchers.

is the first book to set out a range of machine learning methods for efficient resource management in a large distributed network of clouds. predictive analytics is an integral part of efficient cloud resource management, and this book gives a future research direction to researchers in this domain. it is written by leading international researchers.

Thanks to rapid technological developments in terms of Computational Intelligence, smart tools have been playing active roles in daily life. It is clear that the 21st century has brought about many advantages in using high-level computation and communication solutions to deal with real-world problems; however, more technologies bring more changes to society. In this sense, the concept of smart cities has been a widely discussed topic in terms of society and Artificial Intelligence-oriented research efforts. The rise of smart cities is a transformation of both community and technology use habits, and there are many different research orientations to shape a better future. The objective of this book is to focus on Explainable Artificial Intelligence (XAI) in smart city development. As recently designed, advanced smart systems require intense use of complex computational solutions (i.e., Deep Learning, Big Data, IoT architectures), the mechanisms of these systems become 'black-box' to users. As this means that there is no clear clue about what is going on within these systems, anxieties regarding ensuring trustworthy tools also rise. In recent years, attempts have been made to solve this issue with the additional use of XAI methods to improve transparency levels. This book provides a timely, global reference source about cutting-edge research efforts to ensure the XAI factor in smart city-oriented developments. The book includes both positive and negative outcomes, as well as future insights and the societal and technical aspects of XAI-based smart city research efforts. This book contains nineteen contributions beginning with a presentation of the background of XAI techniques and sustainable smart-city applications. It then continues with chapters discussing XAI for Smart Healthcare, Smart Education, Smart Transportation, Smart Environment, Smart Urbanization and Governance, and Cyber Security for Smart Cities.

The widespread adoption of smartphones has led to an explosion of mobile social media data, more than a billion messages per day that continuously track location, content, and time. Social Media in the Contemporary City focuses on the effects of social media on local communities and urban space in a variety of political and economic settings related to social activism, informal economic activity, public art, and global extremism. The book covers events ranging from Banksy art installations, mobile food trucks, and underground restaurants, to a Black Lives Matter protest, the Christchurch mosque shootings, and the Pulse nightclub shooting. The interplay between urban space, local community, and social media in each case study requires diverse methodologies that are both computational (i.e. machine learning, social network analysis, and natural language processing) and ethnographic (i.e. semi-structured interviews, thematic analysis, and site analysis). The book views social media not as a replacement for the local community or urban space but rather as a translation of the uses and meanings of all three realms. The book will be of interest to students, researchers, and instructors in a number of disciplines including urban design/planning, media studies, geography, and communications.

Nanoelectronic Devices for Hardware and Software Security has comprehensive coverage of the principles, basic concepts, structure, modeling, practices, and circuit applications of nanoelectronics in hardware/software security. It also covers the future research directions in this domain. In this evolving era, nanotechnology is converting semiconductor devices dimensions from micron technology to nanotechnology. Nanoelectronics would be the key enabler for innovation in nanoscale devices, circuits, and systems. The motive for this research book is to provide relevant theoretical frameworks that include device physics, modeling, circuit design, and the latest developments in experimental fabrication in the field of nanotechnology for hardware/software security. There are numerous challenges in the development of models for nanoscale devices (e.g., FinFET, gate-all-around devices, TFET, etc.), short channel effects, fringing effects, high leakage current, and power dissipation, among others. This book will help to identify areas where there are challenges and apply nanodevice and circuit techniques to address hardware/software security issues.

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.

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.

The purpose of this book is to provide tools for a better understanding of the fundamental tradeo's and interdependencies in wireless networks, with the goal of designing resource allocation strategies that exploit these int- dependencies to achieve signi?cant performance gains. Two facts prompted us to write it: First, future wireless applications will require a fundamental understanding of the design principles and control mechanisms in wireless networks. Second, the complexity of the network problems simply precludes the use of engineering common sense alone to identify good solutions, and so mathematics becomes the key avenue to cope with central technical problems in the design of wireless networks. In this book, two ?elds of mathematics play a central role: Perron-Frobenius theory for non-negative matrices and optimization theory. This book is a revised and expanded version of the research monograph "Resource Allocation in Wireless Networks" that was published as Lecture Notes in Computer Sciences (LNCS 4000) in 2006. Although the general structure has remained unchanged to a large extent, the book contains - merous additional results and more detailed discussion. For instance, there is a more extensive treatment of general nonnegative matrices and interf- ence functions that are described by an axiomatic model. Additional material on max-min fairness, proportional fairness, utility-based power control with QoS (quality of service) support and stochastic power control has been added.

Provides motivation for developing mathematical models for telecommunications network power and energy efficiency modelling. Discusses factors impacting overall network power consumption. Includes types of network equipment and their power consumption profiles. Reviews basics of network power modelling including network segmentation, top-down and bottom-up models. Explores application of metrics for equipment, networks, and services.

This book vividly illustrates all the promising and potential machine learning (ML) and deep learning (DL) algorithms through a host of real-world and real-time business use cases. Machines and devices can be empowered to self-learn and exhibit intelligent behavior. Also, Big Data combined with real-time and runtime data can lead to personalized, prognostic, predictive, and prescriptive insights. This book examines the following topics: Cognitive machines and devices Cyber physical systems (CPS) The Internet of Things (IoT) and industrial use cases Industry 4.0 for smarter manufacturing Predictive and prescriptive insights for smarter systems Machine vision and intelligence Natural interfaces K-means clustering algorithm Support vector machine (SVM) algorithm A priori algorithms Linear and logistic regression Applied Learning Algorithms for Intelligent IoT clearly articulates ML and DL algorithms that can be used to unearth predictive and prescriptive insights out of Big Data. Transforming raw data into information and relevant knowledge is gaining prominence with the availability of data processing and mining, analytics algorithms, platforms, frameworks, and other accelerators discussed in the book. Now, with the emergence of machine learning algorithms, the field of data analytics is bound to reach new heights. This book will serve as a comprehensive guide for AI researchers, faculty members, and IT professionals. Every chapter will discuss one ML algorithm, its origin, challenges, and benefits, as well as a sample industry use case for explaining the algorithm in detail. The book's detailed and deeper dive into ML and DL algorithms using a practical use case can foster innovative research.

Network coding is a field of information and coding theory and is a method of attaining maximum information flow in a network. This book is an ideal introduction for the communications and network engineer, working in research and development, who needs an intuitive introduction to network coding and to the increased performance and reliability it offers in many applications. This book is an ideal introduction for the research and development communications and network engineer who needs an intuitive introduction to the theory and wishes to understand the increased performance and reliability it offers over a number of applications.

Reviews IoT software architecture and middleware, data processing and management, security, privacy and reliability, architectures, protocols, technologies, algorithms, and smart objects, sensors, and actuators Explores IoT as it applies to energy, including energy efficiency and management, intelligent energy management, smart energy through blockchain and energy-efficient/aware routing/scheduling challenges and issues Examines IoT as it applies to healthcare including biomedical image and signal analysis, and disease prediction and diagnosis Examines IoT as it applies to smart industry including architecture, blockchain, and Industry 4.0 Discusses different ways to create a better IoT network or IoT platform

IT projects emerge from a business need. In practice, software developers must accomplish two big things before an IT project can begin: find out what you need to do (i.e., analyse business requirements) and plan out how to do it (i.e., project management). The biggest problem in IT projects is delivering the wrong product because IT people do not understand what business people require. This practical textbook teaches computer science students how to manage and deliver IT projects by linking business and IT requirements with project management in an incremental and straightforward approach. Business Analysis, Requirements, and Project Management: A Guide for Computing Students presents an approach to analysis management that scales the business perspective. It takes a business process view of a business proposal as a model and explains how to structure a technical problem into a recognisable pattern with problem frames. It shows how to identify core transactions and model them as use cases to create a requirements table useful to designers and coders. Linked to the analysis are three management tools: the product breakdown structure (PBS), the Gantt chart, and the Kanban board. The PBS is derived in part from the problem frame. The Gantt chart emerges from the PBS and ensures the key requirements are addressed by reference to use cases. The Kanban board is especially useful in Task Driven Development, which the text covers. This textbook consists of two interleaving parts and features a single case study. Part one addresses the business and requirements perspective. The second integrates core project management approaches and explains how both requirements and management are connected. The remainder of the book is appendices, the first of which provides solutions to the exercises presented in each chapter. The second appendix puts together much of the documentation for the case study into one place. The case study presents a real-word business scenario to expose students to professional practice.

Provides a structured look, at the unique characteristic for smart sensor networks to resolving the issues of many real-world applications in a broad range of areas such as Smart Healthcare, Engineering, Scientific Research, Social Media, Industrial Automation and more Offers a systematic look at the unique characteristics of AI based wireless sensor networks through their usage in a broad range of areas Delivers recent trends and core concepts in both analytics and application in smart sensor networks using AI Explores the development and application of AI and evolutionary computing as applied to wireless sensor networks Focuses on stepwise discussion, exhaustive literature review, detailed analysis and discussion, rigorous experimentation result and an application-oriented approach.

This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of deep learning (DL)-based data analytics of IoT (Internet of Things) infrastructures. Deep Learning for Internet of Things Infrastructure addresses emerging trends and issues on IoT systems and services across various application domains. The book investigates the challenges posed by the implementation of deep learning on IoT networking models and services. It provides fundamental theory, model, and methodology in interpreting, aggregating, processing, and analyzing data for intelligent DL-enabled IoT. The book also explores new functions and technologies to provide adaptive services and intelligent applications for different end users. FEATURES Promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of DL-based data analytics of IoT infrastructures Addresses emerging trends and issues on IoT systems and services across various application domains Investigates the challenges posed by the implementation of deep learning on IoT networking models and services Provides fundamental theory, model, and methodology in interpreting, aggregating, processing, and analyzing data for intelligent DL-enabled IoT Explores new functions and technologies to provide adaptive services and intelligent applications for different end users Uttam Ghosh is an Assistant Professor in the Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, USA. Mamoun Alazab is an Associate Professor in the College of Engineering, IT and Environment at Charles Darwin University, Australia. Ali Kashif Bashir is a Senior Lecturer/Associate Professor and Program Leader of BSc (H) Computer Forensics and Security at the Department of Computing and Mathematics, Manchester Metropolitan University, United Kingdom. Al-Sakib Khan Pathan is an Adjunct Professor of Computer Science and Engineering at the Independent University, Bangladesh.

Considers how different fields across technology and business have been affected by the Covid-19 pandemic Explores the innovations, disruptions and changes that are required to adapt in a fast-evolving landscape technology Offers a wealth of perspectives from international contributors working in a variety of contexts.

Teams working in a crisis are operating in a high turbulence environment. Blue Shark Teams thrive in a crisis. They swim through turbulence and glide to project success. This book reveals the concepts and practical insight on how to create and lead Blue Shark Teams. The Blue Shark Model of Leading High-Performance Teams is based on Daniel Goleman's emotional intelligence model and Bruce Tuckman's team-building model (forming, storming, norming, performing, and adjourning). This book shows how to apply these models to large companies, small-to-medium size businesses, and projects during a crisis. It explains how managers can develop their leadership style and lead high-performance teams. A real-life case study, which was a success story during the COVID-19 pandemic, is discussed to elaborate the team-building and emotional intelligence models. The lessons learned from this case study can be applied to any crisis in any industry across the spectrum, including healthcare, IT, telecom, construction, manufacturing, oil and gas, airlines, financial services, retail, public sector, and consulting. The book arms executives and managers with the concepts and techniques to lead and manage projects, teams, and companies during turbulent and volatile times. If you are a CEO, CIO, CTO, or CXO of a Fortune 500 company, a mid-to-small size Business Owner, a Project Manager, or a Senior Executive facing a crisis, then this book is for you. It describes real-life case studies and projects that shows how the theoretical frameworks and models developed by leading researchers can be applied successfully to companies and projects, especially during a crisis and pandemic such as COVID-19.

Teams working in a crisis are operating in a high turbulence environment. Blue Shark Teams thrive in a crisis. They swim through turbulence and glide to project success. This book reveals the concepts and practical insight on how to create and lead Blue Shark Teams. The Blue Shark Model of Leading High-Performance Teams is based on Daniel Goleman's emotional intelligence model and Bruce Tuckman's team-building model (forming, storming, norming, performing, and adjourning). This book shows how to apply these models to large companies, small-to-medium size businesses, and projects during a crisis. It explains how managers can develop their leadership style and lead high-performance teams. A real-life case study, which was a success story during the COVID-19 pandemic, is discussed to elaborate the team-building and emotional intelligence models. The lessons learned from this case study can be applied to any crisis in any industry across the spectrum, including healthcare, IT, telecom, construction, manufacturing, oil and gas, airlines, financial services, retail, public sector, and consulting. The book arms executives and managers with the concepts and techniques to lead and manage projects, teams, and companies during turbulent and volatile times. If you are a CEO, CIO, CTO, or CXO of a Fortune 500 company, a mid-to-small size Business Owner, a Project Manager, or a Senior Executive facing a crisis, then this book is for you. It describes real-life case studies and projects that shows how the theoretical frameworks and models developed by leading researchers can be applied successfully to companies and projects, especially during a crisis and pandemic such as COVID-19.

Mobile devices are ubiquitous; therefore, mobile device forensics is absolutely critical. Whether for civil or criminal investigations, being able to extract evidence from a mobile device is essential. This book covers the technical details of mobile devices and transmissions, as well as forensic methods for extracting evidence. There are books on specific issues like Android forensics or iOS forensics, but there is not currently a book that covers all the topics covered in this book. Furthermore, it is such a critical skill that mobile device forensics is the most common topic the Author is asked to teach to law enforcement. This is a niche that is not being adequately filled with current titles. An In-Depth Guide to Mobile Device Forensics is aimed towards undergraduates and graduate students studying cybersecurity or digital forensics. It covers both technical and legal issues, and includes exercises, tests/quizzes, case studies, and slides to aid comprehension.

This book contains extended and revised versions of the best papers presented at the 29th IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2021, held in Singapore, in October 2021*. The 12 full papers included in this volume were carefully reviewed and selected from the 44 papers (out of 75 submissions) presented at the conference. The papers discuss the latest academic and industrial results and developments as well as future trends in the field of System-on-Chip (SoC) design, considering the challenges of nano-scale, state-of-the-art and emerging manufacturing technologies. In particular they address cutting-edge research fields like low-power design of RF, analog and mixed-signal circuits, EDA tools for the synthesis and verification of heterogenous SoCs, accelerators for cryptography and deep learning and on-chip Interconnection system, reliability and testing, and integration of 3D-ICs. *The conference was held virtually.