Portrays material through multidisciplinary lens of psychology, criminal justice, law, and security Provides consistent, practical information about online criminals and victims Compares online to offline versions of the same crime Discusses adequacy of current laws for prosecuting cybercriminals Considers elements of the online environment that foster criminal activity Describes social engineering techniques Considers the role of intimate partner violence in cybercrimes Reviews 21st century skills needed to educate and protect potential targets

* Centers the experiences of designers at every stage of their careers and development. * Defines and explains the idea of professional identity for designers across contexts. * Concludes segments with specific takeaways, reflection activities, and quotes from real-world designers.

While simulation has a vast area of application, this textbook focuses on the use of simulation to analyse business processes. It provides an up-to-date coverage of all stages of the discrete-event simulation (DES) process, covering important areas such as conceptual modelling, modelling input data, verification and validation and simulation output analysis. The book is comprehensive yet uncomplicated, covering the theoretical aspects of the subject and the practical elements of a typical simulation project, demonstrated by cases, examples and exercises. It also shows how simulation relates to new developments in machine learning, big data analytics and conceptual modelling techniques. Guidance is provided on how to build DES models using the Arena, Simio and Simul8 simulation software, and tutorials for using the software are incorporated throughout. Simulation Modelling offers a uniquely practical and end-to-end overview of the subject, which makes it perfect required or recommended reading for advanced undergraduate and postgraduate students studying business simulation and simulation modelling as part of operations research, business analytics, supply chain management and computer science courses.

This book statistically confirms that complexity and changing technologies that affect the way operators interact within the systems of the nuclear facili-ties exacerbate the severity of incidents caused by human error and details the application of the systems engineering process to reduce human error given industries' rapidly advancing technology. Technology, Human Performance, and Nuclear Facilities: A Systems Engineering Approach to Reduce Human Error provides a basic understand-ing of Human Error/ P erformance and its relation to industrial operations and advancing technologies incorporated into facilities. The book discusses the context surrounding the complexity of changing technologies at nuclear facili-ties and the potential worsening of problems caused by human error when technology advancements concerning operator interaction with control sys-tems are implemented. It presents how to reduce human error propensity given the incorporation of advanced technology and covers ways to reduce human error using the systems engineering process. Also offered are several concepts related to the operator's involvement in the systems engineering process and the human performance integration with system operational requirements and system testing, evaluation, and validation, and the procedures and training development in the systems engineering process. This book presents empirical evidence for the importance of human performance management in the con-text of nuclear facilities and offers practical recommendations for the improve-ment of this function. Systems engineers, plant/ design engineers, the nuclear industry, plant operations management, and those involved in industrial and nuclear safety will find something of interest in this book.

Using a unique pedagogical approach, this text introduces mathematical logic by guiding students in implementing the underlying logical concepts and mathematical proofs via Python programming. This approach, tailored to the unique intuitions and strengths of the ever-growing population of programming-savvy students, brings mathematical logic into the comfort zone of these students and provides clarity that can only be achieved by a deep hands-on understanding and the satisfaction of having created working code. While the approach is unique, the text follows the same set of topics typically covered in a one-semester undergraduate course, including propositional logic and first-order predicate logic, culminating in a proof of Goedel's completeness theorem. A sneak peek to Goedel's incompleteness theorem is also provided. The textbook is accompanied by an extensive collection of programming tasks, code skeletons, and unit tests. Familiarity with proofs and basic proficiency in Python is assumed.

* The book offers a well-balanced mathematical analysis of modelling physical systems. * Summarizes basic principles in differential geometry and convex analysis as needed. * The book covers a wide range of industrial and social applications, and bridges the gap between core theory and costly experiments through simulations and modelling. * The focus of the book is manifold ranging from stability of fluid flows, nano fluids, drug delivery, and security of image data to Pandemic modeling etc.

1) Provides a levelling approach, bringing students at all stages of programming experience to the same point 2) Focuses Python, a general language, to an engineering and scientific context 3) Uses a classroom tested, practical approach to teaching programming 4) Teaches students and professionals how to use Python to solve engineering calculations such as differential and algebraic equations

Due to efficacy and optimization potential of genetic and evolutionary algorithms, they are used in learning and modeling especially with the advent of big data related problems. This book presents the algorithms and strategies specifically associated with pertinent issues in materials science domain. It discusses the procedures for evolutionary multi-objective optimization of objective functions created through these procedures and introduces available codes. Recent applications ranging from primary metal production to materials design are covered. It also describes hybrid modeling strategy, and other common modeling and simulation strategies like molecular dynamics, cellular automata etc. Features: Focuses on data-driven evolutionary modeling and optimization, including evolutionary deep learning. Include details on both algorithms and their applications in materials science and technology. Discusses hybrid data-driven modeling that couples evolutionary algorithms with generic computing strategies. Thoroughly discusses applications of pertinent strategies in metallurgy and materials. Provides overview of the major single and multi-objective evolutionary algorithms. This book aims at Researchers, Professionals, and Graduate students in Materials Science, Data-Driven Engineering, Metallurgical Engineering, Computational Materials Science, Structural Materials, and Functional Materials.

Shows how social services provided now and in the future can be enhanced through digitization. Contains country case-studies from USA, Brasil, Korea, Taiwan, Hong Kong (China), India, Zimbabwe, Morocco, Spain, Portugal, Ireland and Singapore. Will be of interest to all scholars and students of social work, social policy and social welfare provision.

The proposed book provides a comprehensive coverage of theory and methods in the areas of continuous optimization and variational inequality. It describes theory and solution methods for optimization with smooth and non-smooth functions, for variational inequalities with single-valued and multivalued mappings, and for related classes such as mixed variational inequalities, complementarity problems, and general equilibrium problems. The emphasis is made on revealing generic properties of these problems that allow creation of efficient solution methods. Salient Features The book presents a deep, wide-ranging introduction to the theory of the optimal control of processes governed by optimization techniques and variational inequality Several solution methods are provided which will help the reader to develop various optimization tools for real-life problems which can be modeled by optimization techniques involving linear and nonlinear functions. The book focuses on most recent contributions in the nonlinear phenomena, which can appear in various areas of human activities. This book also presents relevant mathematics clearly and simply to help solve real life problems in diverse fields such as mechanical engineering, management, control behavior, traffic signal, industry, etc. This book is aimed primarily at advanced undergraduates and graduate students pursuing computer engineering and electrical engineering courses. Researchers, academicians and industry people will also find this book useful.

This book discusses the Sliding Mode Control (SMC) problems of networked control systems (NCSs) under various communication protocols including static/dynamic/periodic event-triggered mechanism, and stochastic communication, Round-Robin, weighted try-once-discard, multiple-packet transmission, and the redundant channel transmission protocol. The super-twisting algorithm and the extended-state-observer-based SMC scheme are described in this book for suppressing chattering. Besides, the SMC designs for two-dimensional (1-D) and two-dimensional (2-D) NCSs are illustrated as well. Features: Captures recent advances of theories, techniques, and applications of networked sliding mode control from an engineering-oriented perspective. Includes new design ideas and optimization techniques of networked sliding mode control theory. Provides advanced tools to apply networked sliding mode control techniques in the practical applications. Discusses some new tools to the engineering applications while dealing with the model uncertainties and external disturbances. This book aims at Researchers and professionals in Control Systems, Computer Networks, Internet of Things, and Communication Systems.

Power and Authority in Internet Governance investigates the hotly contested role of the state in today's digital society. The book asks: Is the state "back" in internet regulation? If so, what forms are state involvement taking, and with what consequences for the future? The volume includes case studies from across the world and addresses a wide range of issues regarding internet infrastructure, data and content. The book pushes the debate beyond a simplistic dichotomy between liberalism and authoritarianism in order to consider also greater state involvement based on values of democracy and human rights. Seeing internet governance as a complex arena where power is contested among diverse non-state and state actors across local, national, regional and global scales, the book offers a critical and nuanced discussion of how the internet is governed - and how it should be governed. Power and Authority in Internet Governance provides an important resource for researchers across international relations, global governance, science and technology studies and law as well as policymakers and analysts concerned with regulating the global internet.

Highlights the importance and applications of Swarm Intelligence and Machine learning in Healthcare industry. Elaborates Swarm Intelligence and Machine Learning for Cancer Detection. Focuses on applying Swarm Intelligence and Machine Learning for Heart Disease detection and diagnosis. Explores of the concepts of machine learning along with swarm intelligence techniques, along with recent research developments in healthcare sectors. Investigates how healthcare companies can leverage the tapestry of big data to discover new business values. Provides a strong foundation for Diabetic Retinopathy detection using Swarm and Evolutionary algorithms.

In recent decades, the world has witnessed, unprecedented in terms of speed and geographic coverage, diffusion of new information and communication technologies (ICT). The on-going digital revolution pervasively impacts and reshapes societies and economies and therefore deserves special attention and interest. This book provides extensive evidence on information and communication technologies development patterns and dynamics of this process across developed economies over the period 1980 to the present day. It adopts newly developed methodology to identification of the 'critical mass' and isolation of technological takeoff intervals, which are intimately related to the process of technology diffusion. The statistically robust analysis of country-specific data demonstrates the key economic, social and institutional prerequisites of ICT diffusion across examined countries, indicating what factors significantly foster or - reversely - hinder the process.

This powerful new volume explores the diverse and sometimes unexpected roles that IoT and AI technologies played during the recent COVID-19 global pandemic. The book discusses the how existing and new state-of-the art technology has been and can be applied for global health crises in a multitude of ways. The chapters in Pandemic Detection and Analysis through Smart Computing Technologies look at exciting technological solutions for virus detection, prediction, classification, prevention, and communication outreach. The book considers the various modes of transmission of the virus as well as how technology has been implemented for personalized healthcare systems and how it can be used for future pandemics. The huge importance of social and mobile communication and networks during the pandemic is addressed such as in business, education, and healthcare; in research and development; for health information and outreach; in social life; and more. A chapter also addresses using smart computing for forecasting the damage caused by COVID-19 using time series analyses. This up-to-the-minute volume illuminates on the many ways AI, IoT, machine learning, and other technologies have important roles in the diverse challenges faced during COVID-19 and how they can be enhanced for future pandemic situations. The volume will be of high interest to those in different fields of computer science and other domains as well as to data scientists, government agencies and policymakers, doctors and healthcare professionals, engineers, economists, and many other professionals. This book will also be very helpful to faculty, students, and research scholars in understanding the pre- and post-effect of this pandemic.

With the evolution of technology and sudden growth in the number of smart vehicles, traditional Vehicular Ad hoc NETworks (VANETs) face several technical challenges in deployment and management due to less flexibility, scalability, poor connectivity, and inadequate intelligence. VANETs have raised increasing attention from both academic research and industrial aspects resulting from their important role in driving assistant system. Vehicular Ad Hoc Networks focuses on recent advanced technologies and applications that address network protocol design, low latency networking, context-aware interaction, energy efficiency, resource management, security, human-robot interaction, assistive technology and robots, application development, and integration of multiple systems that support Vehicular Networks and smart interactions. Simulation is a key tool for the design and evaluation of Intelligent Transport Systems (ITS) that take advantage of communication-capable vehicles in order to provide valuable safety, traffic management, and infotainment services. It is widely recognized that simulation results are only significant when realistic models are considered within the simulation tool chain. However, quite often research works on the subject are based on simplistic models unable to capture the unique characteristics of vehicular communication networks. The support that different simulation tools offer for such models is discussed, as well as the steps that must be undertaken to fine-tune the model parameters in order to gather realistic results. Moreover, the book provides handy hints and references to help determine the most appropriate tools and models. This book will promote best simulation practices in order to obtain accurate results.

Features contributions from thought leaders across academia, industry, and government Focuses on novel algorithms and practical applications

This critical and forward-looking book features: An assessment of the impact of Internet of Things (IoT) on the telecom industry's revenue streams IoT-based business models in the telecom industry A PESTLE (political, economic, socio-cultural, technological, legal, and environmental) analysis of the industry in relation to IoT Key technological drivers. It also features a case study of Bell Canada Enterprises (BCE) Inc., which highlights IoT-based business models in the industry. The study reveals that telecom operators have started implementing IoT projects, however, true revenue streams are yet to materialize. Ten IoT-based business models have been identified at BCE Inc. The book points out that operators do leverage existing infrastructure in terms of broadband fiber and mobile connectivity in part and resort to partnerships and acquisitions to acquire much-needed knowledge, technology, and smart devices. Concerning the effect of IoT on the telecoms' revenue streams, it was revealed that new entrants, who are not necessarily in the telecom industry, have impacted the old players' revenue streams. OTT services like YouTube, WhatsApp, IPTV, Netflix, are the biggest culprits. Seven key technological drivers for IoT have been identified and include widespread wireless connectivity, the availability and affordability of microcontrollers, sensors and actuators, the decreasing cost of bandwidth, the recent implementation of IPv6, and the ongoing development of 5G network, as well as the use of cloud computing and analytics. Finally, the PESTLE analysis of the industry shows that the lack of a comprehensive political and regulatory framework still slows down IoT deployment. Interoperability, security, and privacy concerns are other constraints. Conversely, general economic conditions in most developed and developing economies are favorable to the advancement of IoT technology. Governments are willing to subsidize R&D and have partnered with the private sector to speed up the roll-out process.

* Structured approach from fundamental knowledge to entanglements between the concepts and the business needs * Simple and straight to the point presentation with diagrams and figures to help the understanding * Key points to take into account to design and implement an audit strategy based on company size * An overarching book on audit providing links between the different ways to audit a company * No boring or complex audit technical knowledge nor IT technical knowledge * Historical backgrounds to demonstrate that if the digital wave is new however the underlying risks are not.

dance, data, multimodal communication, dancers, neuro-cognitive science, contemporary dance, intangible cultural heritage, performing arts, cognitive linguistics, embodiment, design, and creativity studies

This book presents soft computing techniques and applications used in healthcare systems, along with the latest advancements. Written as a guide for assessing the roles that these techniques play, the book also highlights implementation strategies, lists problem-solving solutions, and paves the way for future research endeavors in smart and next-generation healthcare systems. This book provides applications of soft computing techniques related to healthcare systems and can be used as a reference guide for assessing the roles that various techniques, such as machine learning, fuzzy logic, and statical mathematics, play in the advancements of smart healthcare systems. The book presents the basics as well as the advanced concepts to help beginners, as well as industry professionals, get up to speed on the latest developments in healthcare systems. The book examines descriptive, predictive, and social network techniques and discusses analytical tools and the important role they play in finding solutions to problems in healthcare systems. A framework of robust and novel healthcare techniques is highlighted, as well as implementation strategies and a setup for future research endeavors. Healthcare Systems Using Soft Computing Techniques is a valuable resource for researchers and postgraduate students in healthcare systems engineering, computer science, information technology, and applied mathematics. The book introduces beginners to-and at the same time brings industry professionals up to speed with-the important role soft computing techniques play in smart healthcare systems.

Visual Perception and Control of Underwater Robots covers theories and applications from aquatic visual perception and underwater robotics. Within the framework of visual perception for underwater operations, image restoration, binocular measurement, and object detection are addressed. More specifically, the book includes adversarial critic learning for visual restoration, NSGA-II-based calibration for binocular measurement, prior knowledge refinement for object detection, analysis of temporal detection performance, as well as the effect of the aquatic data domain on object detection. With the aid of visual perception technologies, two up-to-date underwater robot systems are demonstrated. The first system focuses on underwater robotic operation for the task of object collection in the sea. The second is an untethered biomimetic robotic fish with a camera stabilizer, its control methods based on visual tracking. The authors provide a self-contained and comprehensive guide to understand underwater visual perception and control. Bridging the gap between theory and practice in underwater vision, the book features implementable algorithms, numerical examples, and tests, where codes are publicly available. Additionally, the mainstream technologies covered in the book include deep learning, adversarial learning, evolutionary computation, robust control, and underwater bionics. Researchers, senior undergraduate and graduate students, and engineers dealing with underwater visual perception and control will benefit from this work.

Partial differential equations (PDEs) play an important role in the natural sciences and technology, because they describe the way systems (natural and other) behave. The inherent suitability of PDEs to characterizing the nature, motion, and evolution of systems, has led to their wide-ranging use in numerical models that are developed in order to analyze systems that are not otherwise easily studied. Numerical Solutions for Partial Differential Equations contains all the details necessary for the reader to understand the principles and applications of advanced numerical methods for solving PDEs. In addition, it shows how the modern computer system algebra Mathematica (R) can be used for the analytic investigation of such numerical properties as stability, approximation, and dispersion.

Digital Audio Theory: A Practical Guide bridges the fundamental concepts and equations of digital audio with their real-world implementation in an accessible introduction, with dozens of programming examples and projects. Starting with digital audio conversion, then segueing into filtering, and finally real-time spectral processing, Digital Audio Theory introduces the uninitiated reader to signal processing principles and techniques used in audio effects and virtual instruments that are found in digital audio workstations. Every chapter includes programming snippets for the reader to hear, explore, and experiment with digital audio concepts. Practical projects challenge the reader, providing hands-on experience in designing real-time audio effects, building FIR and IIR filters, applying noise reduction and feedback control, measuring impulse responses, software synthesis, and much more. Music technologists, recording engineers, and students of these fields will welcome Bennett's approach, which targets readers with a background in music, sound, and recording. This guide is suitable for all levels of knowledge in mathematics, signals and systems, and linear circuits. Code for the programming examples and accompanying videos made by the author can be found on the companion website, DigitalAudioTheory.com.