This book presents an overview of the latest smart transportation systems, IoV connectivity frameworks, issues of security and safety in VANETs, future developments in the IoV, technical solutions to address key challenges, and other related topics. A connected vehicle is a vehicle equipped with Internet access and wireless LAN, which allows the sharing of data through various devices, inside as well as outside the vehicle. The ad-hoc network of such vehicles, often referred to as VANET or the Internet of vehicles (IoV), is an application of IoT technology, and may be regarded as an integration of three types of networks: inter-vehicle, intra-vehicle, and vehicular mobile networks. VANET involves several varieties of vehicle connectivity mechanisms, including vehicle-to-infrastructure (V2I), vehicle-to-vehicle (V2V), vehicle-to-cloud (V2C), and vehicle-to-everything (V2X). According to one survey, it is expected that there will be approximately 380 million connected cars on the roads by 2020. IoV is an important aspect of the new vision for smart transportation. The book is divided into three parts: examining the evolution of IoV (basic concepts, principles, technologies, and architectures), connectivity of vehicles in the IoT (protocols, frameworks, and methodologies), connected vehicle environments and advanced topics in VANETs (security and safety issues, autonomous operations, machine learning, sensor technology, and AI). By providing scientific contributions and workable suggestions from researchers and practitioners in the areas of IoT, IoV, and security, this valuable reference aims to extend the body of existing knowledge.

The Elixir programming language has become a go-to tool for creating reliable, fault-tolerant, and robust server-side applications. Thanks to Nerves, those same exact benefits can be realized in embedded applications. This book will teach you how to structure, build, and deploy production grade Nerves applications to network-enabled devices. The weather station sensor hub project that you will be embarking upon will show you how to create a full stack IoT solution in record time. You will build everything from the embedded Nerves device to the Phoenix backend and even the Grafana time-series data visualizations. Elixir as a programming language has found its way into many different software domains, largely in part to the rock-solid foundation of the Erlang virtual machine. Thanks to the Nerves framework, Elixir has also found success in the world of embedded systems and IoT. Having access to all of the Elixir and OTP constructs such as concurrency, supervision, and immutability makes for a powerful IoT recipe. Find out how to create fault-tolerant, reliable, and robust embedded applications using the Nerves framework. Build and deploy a production-grade weather station sensor hub using Elixir and Nerves, all while leveraging the best practices established by the Nerves community for structuring and organizing Nerves applications. Capture all of your weather station sensor data using Phoenix and Ecto in a lightweight server-side application. Efficiently store and retrieve the time-series weather data collected by your device using TimescaleDB (the Postgres extension for time-series data). Finally, complete the full stack IoT solution by using Grafana to visualize all of your time-series weather station data. Discover how to create software solutions where the underlying technologies and techniques are applicable to all layers of the project. Take your project from idea to production ready in record time with Elixir and Nerves.

This book focuses on applications of social network analysis in predictive policing. Data science is used to identify potential criminal activity by analyzing the relationships between offenders to fully understand criminal collaboration patterns. Co-offending networks-networks of offenders who have committed crimes together-have long been recognized by law enforcement and intelligence agencies as a major factor in the design of crime prevention and intervention strategies. Despite the importance of co-offending network analysis for public safety, computational methods for analyzing large-scale criminal networks are rather premature. This book extensively and systematically studies co-offending network analysis as effective tool for predictive policing. The formal representation of criminological concepts presented here allow computer scientists to think about algorithmic and computational solutions to problems long discussed in the criminology literature. For each of the studied problems, we start with well-founded concepts and theories in criminology, then propose a computational method and finally provide a thorough experimental evaluation, along with a discussion of the results. In this way, the reader will be able to study the complete process of solving real-world multidisciplinary problems.

The Internet has had a tremendous impact on worldwide advertising and marketing practices. This comprehensive guide provides information on the international marketing and advertising industries of over 150 countries and regions and includes over 2,000 Web sites containing free information on the subject. Also covered is information on many related marketing subspecialities including direct marketing, customer relationship management, graphic design, retailing, distribution, and packaging.

Each Internet resource listed includes a title, a URL, and an annotation. Resources are indexed by Web site title, site sponsor, country, and subject.

This book presents current trends that are dominating technology and society, including privacy, high performance computing in the cloud, networking and IoT, and bioinformatics. By providing chapters detailing accessible descriptions of the research frontiers in each of these domains, the reader is provided with a unique understanding of what is currently feasible. Readers are also given a vision of what these technologies can be expected to produce in the near future. The topics are covered comprehensively by experts in respective areas. Each section includes an overview that puts the research topics in perspective and integrates the sections into an overview of how technology is evolving. The book represents the proceedings of the International Symposium on Sensor Networks, Systems and Security, August 31 - September 2, 2017, Lakeland Florida.

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.

This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 5th International Conference on ICT for Sustainable Development (ICT4SD 2020), held in Goa, India, on 23-24 July 2020. The conference provided a valuable forum for cutting-edge research discussions among pioneering researchers, scientists, industrial engineers, and students from all around the world. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.

Is Your Company Getting the Most from Its Investment in Change?

Many companies have already invested heavily in infrastructure change, some are making that investment now, and all are contemplating the costs of becoming or evolving as an e-business. Is your company a "greenfield" organization with no back-end systems, or one whose infrastructure support systems are integrated across the enterprise? Are you just beginning to think about e-business capabilities, or are you on the leading edge of convergence? Whatever your company’s position on the ERP/E-Business Matrix, E-Business and ERP: Transforming the Enterprise provides the proven techniques you need to know to meld enterprise resource planning capabilities with the communications power of the Internet.

Is Your Company Positioned for E-Business Success?

The Internet has revolutionized twenty-first century business. Organizations today can communicate with customers, suppliers, and sellers at e-speed with the click of a mouse. Yet, with all of the excitement about the external possibilities of the Internet, companies still need efficient internal processes to make and move products, manage finances, recruit and motivate employees, and excel.

E-Business and ERP: Transforming the Enterprise covers the skills and tools you will need to combine existing ERP software and capabilities with emerging Web-based technologies. In this forward-thinking outline for a new business structure, executives and managers will discover:

• Strategies for established companies to penetrate the Internet marketplace
• Procedures that lower costs across the supply and demand chain
• Techniques that help you meet–and master–the dot.com challenge

The companies best positioned to succeed in the near future are those that can balance existing ERP-based infrastructures and capabilities with exciting new e-business innovations. E-Business and ERP: Transforming the Enterprise examines the changing but essential role of ERP, places it in the context of the Web-based technologies defining today’s e-business environment, and reveals how to blend the best aspects of both to create a strong and flexible twenty-first century business enterprise.

What does men's fashion say about contemporary masculinity? How do these notions operate in an increasingly digitized world? To answer these questions, author Joshua M. Bluteau combines theoretical analysis with vibrant narrative, exploring men's fashion in the online world of social media as well as the offline worlds of retail, production, and the catwalk. Is it time to reassess notions of masculinity? How do we construct ourselves in the online world, and what are the dangers of doing so? From the ateliers of London to the digital landscape of Instagram, Dressing Up re-examines the ways men dress, and the ways men post.

This new volume explores a plethora of blockchain-based solutions for big data and IoT applications, looking at advances in real-world applications in several sectors, including higher education, cybersecurity, agriculture, business and management, healthcare and biomedical science, construction and project management, smart city development, and others. Chapters explore emerging technology to combat the ever-increasing threat of security to computer systems and offer new architectural solutions for problems encountered in data management and security. The chapters help to provide a high level of understanding of various blockchain algorithms along with the necessary tools and techniques. The novel architectural solutions in the deployment of blockchain presented here are the core of the book.

This eye-opening book leads the reader through public Internet chat rooms, showing how easily accessible these chat rooms are to children, and how sexually explicit the conversation is. (Internet)

Across Africa, digital media are providing scholars with a reason and opportunity for revisiting the question, and the analytical lens, of publics with new vigour and less normative baggage. This book brings together a rich set of empirically grounded analyses of the diverse digital spaces and networks of communication springing up across the Eastern African region. The contributions offer a plural set of reflections on whether and how we can usefully think about these spaces and networks as convening publics, where citizens come together to discuss matters of common interest. The authors make clear the need to unshackle such studies from slavish acceptance of outsiders' prescriptions on what constitutes desirable publics. They highlight the importance of being attentive to rapidly changing everyday realities across Africa in which people are coming together around the circulation of ideas in ways that include digital means of communications. In so doing, the contributions bring forward new ways of thinking about, through and with publics, alongside other heritages in Africanist scholarship that have continued salience. Looking outwards from the region, such different perspectives on our digitally mediated world offer theoretical novelty that advances how we think about the notion of publics and their political significance. This book was originally published as a special issue of the Journal of Eastern African Studies.

This book intends to develop cyber awareness and technical knowledge in anyone who is interested in technology by looking at subjects and experiences the average person will have come into contact with in their life. This book aims to provide a complete and comprehensive analysis, technological inputs and case studies for the readers to build their awareness and knowledge, but in a meaningful way which will stay relevant. There are books available on the market, but they primarily discuss theory, and no industry connection or current state-of-the-art technology is presented. By discussing subjects and experiences that all readers will be familiar with, this book will aid understanding and comprehension of how cyber threats can be noticed, avoided and understood in everyday life. As well as case studies, this book also contains plentiful illustrations and supplementary videos, which will be available via YouTube to complement the information. Giri Govindarajulu is a Chief Information Security officer for Cisco Asiapac and is a 20-year Cisco veteran. Shyam Sundar Ramaswami is the Lead Threat Researcher with the Cisco Talos Threat Intelligence group. Shyam is a two-time TEDx speaker and a teacher of cybersecurity. Dr. Shriram K. Vasudevan is currently working as Dean of K. Ramakrishnan College of Technology. He has authored/co-authored 42 books for reputed publishers across the globe and 122 research papers in revered international journals, plus 30 papers for international/national conferences.

This book provides a cutting-edge introduction to Internet-facilitated crime-watching and examines how social media have shifted the landscape for producing, distributing, and consuming footage of crime. In this thought-provoking work, Mark Wood examines the phenomenon of antisocial media: participatory online domains where footage of crime is aggregated, sympathetically curated, and consumed as entertainment. Focusing on Facebook pages dedicated to hosting footage of street fights, brawls, and other forms of bareknuckle violence, Wood demonstrates that to properly grapple with antisocial media, we must address not only their content, but also their software. In doing so, this study goes a long way to addressing the fundamental question: how have social media changed the way we consume crime? Synthesizing criminology, media theory, software studies, and digital sociology, Antisocial Media is media criminology for the Facebook age. It is essential reading for students and scholars interested in social media, cultural criminology, and the crime-media interface.

This edited volume features a wide spectrum of the latest computer science research relating to cyber deception. Specifically, it features work from the areas of artificial intelligence, game theory, programming languages, graph theory, and more. The work presented in this book highlights the complex and multi-facted aspects of cyber deception, identifies the new scientific problems that will emerge in the domain as a result of the complexity, and presents novel approaches to these problems. This book can be used as a text for a graduate-level survey/seminar course on cutting-edge computer science research relating to cyber-security, or as a supplemental text for a regular graduate-level course on cyber-security.

Covers applications of AI & IoT in healthcare Discusses recent case studies Focuses on how applications can facilitate and structure the healthcare systems Promotes scholarship and research Provides how applications can unleash the potential to keep patients safe and health, and also empower physicians to deliver better care

Though the reductionist approachto biology and medicine has led to several imp- tant advances, further progresses with respect to the remaining challenges require integration of representation, characterization and modeling of the studied systems along a wide range of spatial and time scales. Such an approach, intrinsically - lated to systems biology, is poised to ultimately turning biology into a more precise and synthetic discipline, paving the way to extensive preventive and regenerative medicine [1], drug discovery [20] and treatment optimization [24]. A particularly appealing and effective approach to addressing the complexity of interactions inherent to the biological systems is provided by the new area of c- plex networks [34, 30, 8, 13, 12]. Basically, it is an extension of graph theory [10], focusing on the modeling, representation, characterization, analysis and simulation ofcomplexsystemsbyconsideringmanyelementsandtheirinterconnections.C- plex networks concepts and methods have been used to study disease [17], tr- scription networks [5, 6, 4], protein-protein networks [22, 36, 16, 39], metabolic networks [23] and anatomy [40].

This book covers connectivity and edge computing solutions for representative Internet of Things (IoT) use cases, including industrial IoT, rural IoT, Internet of Vehicles (IoV), and mobile virtual reality (VR). Based on their unique characteristics and requirements, customized solutions are designed with targets such as supporting massive connections or seamless mobility and achieving low latency or high energy efficiency. Meanwhile, the book highlights the role of artificial intelligence (AI) in future IoT networks and showcases AI-based connectivity and edge computing solutions. The solutions presented in this book serve the overall purpose of facilitating an increasingly connected and intelligent world. The potential benefits of the solutions include increased productivity in factories, improved connectivity in rural areas, enhanced safety for vehicles, and enriched entertainment experiences for mobile users. Featuring state-of-the-art research in the IoT field, this book can help answer the question of how to connect billions of diverse devices and enable seamless data collection and processing in future IoT. The content also provides insights regarding the significance of customizing use case-specific solutions as well as approaches of using various AI methods to empower IoT. This book targets researchers and graduate students working in the areas of electrical engineering, computing engineering, and computer science as a secondary textbook or reference. Professionals in industry who work in the field of IoT will also find this book useful.

The book provides a comprehensive exposition of all major topics in digital signal processing (DSP). With numerous illustrative examples for easy understanding of the topics, it also includes MATLAB-based examples with codes in order to encourage the readers to become more confident of the fundamentals and to gain insights into DSP. Further, it presents real-world signal processing design problems using MATLAB and programmable DSP processors. In addition to problems that require analytical solutions, it discusses problems that require solutions using MATLAB at the end of each chapter. Divided into 13 chapters, it addresses many emerging topics, which are not typically found in advanced texts on DSP. It includes a chapter on adaptive digital filters used in the signal processing problems for faster acceptable results in the presence of changing environments and changing system requirements. Moreover, it offers an overview of wavelets, enabling readers to easily understand the basics and applications of this powerful mathematical tool for signal and image processing. The final chapter explores DSP processors, which is an area of growing interest for researchers. A valuable resource for undergraduate and graduate students, it can also be used for self-study by researchers, practicing engineers and scientists in electronics, communications, and computer engineering as well as for teaching one- to two-semester courses.

Cooperative Control of Nonlinear Networked Systems is concerned with the distributed cooperative control of multiple networked nonlinear systems in the presence of unknown non-parametric uncertainties and non-vanishing disturbances under certain communication conditions. It covers stability analysis tools and distributed control methods for analyzing and synthesizing nonlinear networked systems. The book presents various solutions to cooperative control problems of multiple networked nonlinear systems on graphs. The book includes various examples with segments of MATLAB (R) codes for readers to verify, validate, and replicate the results. The authors present a series of new control results for nonlinear networked systems subject to both non-parametric and non-vanishing uncertainties, including the cooperative uniformly ultimately bounded (CUUB) result, finite-time stability result, and finite-time cooperative uniformly ultimately bounded (FT-CUUB) result. With some mathematical tools, such as algebraic graph theory and certain aspects of matrix analysis theory introduced by the authors, the readers can obtain a deeper understanding of the roles of matrix operators as mathematical machinery for cooperative control design for multi-agent systems. Cooperative Control of Nonlinear Networked Systems is a valuable source of information for researchers and engineers in cooperative adaptive control, as its technical contents are presented with examples in full analytical and numerical detail, and graphically illustrated for easy-to-understand results. Scientists in research institutes and academics in universities working on nonlinear systems, adaptive control and distributed control will find the book of interest, as it contains multi-disciplinary problems and covers different areas of research.

This book lays out the theoretical foundation of the so-called multi-armed bandit (MAB) problems and puts it in the context of resource management in wireless networks. Part I of the book presents the formulations, algorithms and performance of three forms of MAB problems, namely, stochastic, Markov and adversarial. Covering all three forms of MAB problems makes this book unique in the field. Part II of the book provides detailed discussions of representative applications of the sequential learning framework in cognitive radio networks, wireless LANs and wireless mesh networks. Both individuals in industry and those in the wireless research community will benefit from this comprehensive and timely treatment of these topics. Advanced-level students studying communications engineering and networks will also find the content valuable and accessible.

This book provides information about wireless systems and WIMAX modeling. The authors provide various techniques for the WiMAX systems such as antenna diversity and Alamouti coding. The performance of these systems is tested using various types of data and the results of systems are presented and discussed. Additional topics include WiMAX simulation using diversity techniques and real time WiMAX system modeling. The book pertains to researchers, academics, students, and professionals. Provides information about wireless system modeling and WiMAX systems; Presents WiMAX system modeling using antenna diversity techniques and the Alamouti coding scheme; Includes real time WiMAX system modeling for speech signal and digital images.

This book introduces Python scripting for geographic information science (GIS) workflow optimization using ArcGIS. It builds essential programming skills for automating GIS analysis. Over 200 sample Python scripts and 175 classroom-tested exercises reinforce the learning objectives. Readers will learn to: * Write and run Python in the ArcGIS Python Window, the PythonWin IDE, and the PyScripter IDE * Work with Python syntax and data types * Call ArcToolbox tools, batch process GIS datasets, and manipulate map documents using the arcpy package * Read and modify proprietary and ASCII text GIS data * Parse HTML web pages and KML datasets * Create Web pages and fetch GIS data from Web sources. * Build user-interfaces with the native Python file dialog toolkit or the ArcGIS Script tools and PyToolboxes Python for ArcGIS is designed as a primary textbook for advanced-level students in GIS. Researchers, government specialists and professionals working in GIS will also find this book useful as a reference.