Challenging leading scientific theories that claim that our senses report back objective reality, cognitive scientist Donald Hoffman argues that while we should take our perceptions seriously, we should not take them literally. From examining why fashion designers create clothes that give the illusion of a more "attractive" body shape to studying how companies use color to elicit specific emotions in consumers, and even dismantling the very notion that spacetime is objective reality, The Case Against Reality dares us to question everything we thought we knew about the world we see.

In May 2021, Jim Gosler, known as the Godfather and commander of US agencies' cyber offensive capability, said, ''Either the Intelligence Community (IC) would grow and adapt, or the Internet would eat us alive.'' Mr Gosler was speaking at his retirement only several months before the terrorist attacks of 9/11. He possibly did not realise the catalyst or the tsunami that he and his tens of thousands of US IC offensive website operatives had created and commenced. Over the last two decades, what Mr Gosler and his army of Internet keyboard warriors created would become the modus operandi for every faceless, nameless, state-sponsored or individual cybercriminal to replicate against an unwary, ill-protected, and ignorant group of executives and security professionals who knew little to nothing about the clandestine methods of infiltration and weaponisation of the Internet that the US and UK agencies led, all in the name of security. This book covers many cyber and ransomware attacks and events, including how we have gotten to the point of massive digital utilisation, particularly during the global lockdown and COVID-19 pandemic, to online spending that will see twice the monetary amount lost to cybercrime than what is spent online. There is little to no attribution, and with the IC themselves suffering cyberattacks, they are all blamed on being sophisticated ones, of course. We are witnessing the undermining of our entire way of life, our economies, and even our liberties. The IC has lots to answer for and unequivocally created the disastrous situation we are currently in. They currently have little to no answer. We need-no, we must demand-change. That change must start by ensuring the Internet and all connections to it are secure and no longer allow easy access and exfiltration for both the ICs and cybercriminals.

The book gives a comprehensive overview of security issues in cyber physical systems by examining and analyzing the vulnerabilities. It also brings current understanding of common web vulnerabilities and its analysis while maintaining awareness and knowledge of contemporary standards, practices, procedures and methods of Open Web Application Security Project. This book is a medium to funnel creative energy and develop new skills of hacking and analysis of security and expedites the learning of the basics of investigating crimes, including intrusion from the outside and damaging practices from the inside, how criminals apply across devices, networks, and the internet at large and analysis of security data. Features Helps to develop an understanding of how to acquire, prepare, visualize security data. Unfolds the unventured sides of the cyber security analytics and helps spread awareness of the new technological boons. Focuses on the analysis of latest development, challenges, ways for detection and mitigation of attacks, advanced technologies, and methodologies in this area. Designs analytical models to help detect malicious behaviour. The book provides a complete view of data analytics to the readers which include cyber security issues, analysis, threats, vulnerabilities, novel ideas, analysis of latest techniques and technology, mitigation of threats and attacks along with demonstration of practical applications, and is suitable for a wide-ranging audience from graduates to professionals/practitioners and researchers.

The Ethics of Artificial Intelligence in Education identifies and confronts key ethical issues generated over years of AI research, development, and deployment in learning contexts. Adaptive, automated, and data-driven education systems are increasingly being implemented in universities, schools, and corporate training worldwide, but the ethical consequences of engaging with these technologies remain unexplored. Featuring expert perspectives from inside and outside the AIED scholarly community, this book provides AI researchers, learning scientists, educational technologists, and others with questions, frameworks, guidelines, policies, and regulations to ensure the positive impact of artificial intelligence in learning.

Describes how cognitive IoT is helpful for chronic disease prediction and processing of data gathered from health care devices Explains different sensors available for health monitoring Explores application of Cognitive IoT in Covid-19 analysis Discusses pertinent efficient farming applications for sustaining agricultural growth Review smart education aspects like student response, performance, and behaviour, Instructor response, performance, and behaviour

* 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.

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.

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.

This book highlights the essence of information technology in the modern digital world in relation to improvements and threats to organisations and e-business in the era of the digital economy. Rapid IT development has created modern business proposals such as digital and virtual currencies, crowdfunding, peer-to-peer lending, mobile banking, online investing and new payment systems. This allows organisations and firms to increase competitiveness by using financial products and services, thus increasing their value. Information technology users receive significant timesaving and a choice of investment options. At the same time, there is a new challenge for regulators who must monitor how this or that technology affects the financial sector. The authors have collected and systematised information on the models of using information technology in e-business as well as issues of applying information technology in smart organisations and public institutions. The book addresses the issues of risk management in organizations and the problems of personal and social risks resulting from the use of information technology. In addition, the book presents a review of e-commerce sectors and models as well as e-commerce tools, international payment systems and modern money systems. Risks, threats and security rules for using banking services, e-commerce and payment systems are reviewed and systematised.

With the rapid development of cloud computing and digital transformation, well-designed cloud-based architecture is always in urgent need. Illustrated by project cases from the Chinese technology company Alibaba, this book elaborates how to design a cloud-based application system and build them on the cloud. Cloud computing is far from being just a resource provider; it offers database, storage and container services that can help to leverage key advantages for business growth. Based on this notion, authors from the Alibaba Cloud Global Technology Services introduce new concepts and cutting-edge technology in the field, including cloud-native, high-availability and disaster tolerance design on cloud, business middle office, data middle office, and enterprise digital transformation. Resting upon Alibaba's years of practice and achievements in the field of cloud technology, the volume also elucidates the methodology and practice solutions of digital construction, including methodology, product tools, technical processes, architecture design, cloud application capacity assessment and optimization, etc. The book will appeal to researchers, students, and especially IT practitioners, professionals, and managers interested in cloud computing, digital transformation, cloud migration, business middle office, data middle office, as well as the Alibaba Cloud itself.

This book focuses on the application of soft computing in materials and manufacturing sectors with the objective to offer an intelligent approach to improve the manufacturing process, material selection and characterization techniques for developing advanced new materials. It unveils different models and soft computing techniques applicable in the field of advanced materials and solves the problems to help the industry and scientists to develop sustainable materials for all purposes. The book focuses on the overall well-being of the environment for better sustenance and livelihood. Firstly, the authors discuss the implementation of soft computing in the various areas of engineering materials. They also review the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and effective implementation of sustainable engineering practices. Finally the authors examine the future generation of sustainable and intelligent monitoring techniques beneficial for manufacturing, and cover novel soft computing techniques for the purpose of effective manufacturing processes at par with the standards laid down by the International Standards of Organization (ISO). This book is intended for academics and researchers from all the fields of engineering interested in joining interdisciplinary initiatives on soft computing techniques for advanced materials and manufacturing.

This book provides (i) entry-level knowledge on magnetism, (ii) production and application of prevalent magnetic materials, (iii) recent advances in emerging magnetic materials, (iv) connection between fundamental magnetism and materials design, (v) inspiration for application of magnetism and magnetic materials in multiple areas.

This book is an adaptation of Power System Analysis and Elements of Power System Analysis written by Professor Emeritus John J. Grainger and the late Professor William D. Stevenson of North Carolina State University. The original contents have been revised with the inclusion of some new contents to keep up with the recentadvances in electric power engineering. The revised work is intended to givethe undergraduate or the first-semester graduate students who study power systems and need a comprehensive and fundamental knowledge to understand the major topics commonly encountered in the present day. The book also gives its readers a sound understanding of the underlying principles of the basic elements of the modern power system including generation, transmission, operation, and control with practical examples for the analysis of real-life problems. In this book, examples and review questions are illustrated and homework problems are provided at the end of each chapter. MATLAB (R) programs developed under GUIDE (Graphical User Interface Development Environment) are provided formost examples to facilitate the understanding of underlying concepts and learn skills of simulations with the software package. This educational tool will help the readers to calculate the power system problems easily and more quickly. The hand calculation results can also be validated by the solutionsobtained by executing this software tool. MATLAB can be used to obtain power system problem solutions that involve different types of vector-matrix operations and numerical analysis methods. It is recommended that readers use MATLAB Release 2013a or a newer version for executing the program. The MATLAB-based educational tool is available at McGraw-Hill's Online Learning Center. MAATLAB is a registeredtrademark of the MathWorks, Inc., 3 Apple Hill Drive, Natick, MA 01760-2098,USA. http://www.mathworks.com.

Solid requirements engineering has increasingly been recognized as the key to improved, on-time, and on-budget delivery of software and systems projects. New software tools are emerging that are empowering practicing engineers to improve their requirements engineering habits. However, these tools are not usually easy to use without significant training. Requirements Engineering for Software and Systems, Fourth Edition is intended to provide a comprehensive treatment of the theoretical and practical aspects of discovering, analyzing, modeling, validating, testing, and writing requirements for systems of all kinds, with an intentional focus on software-intensive systems. It brings into play a variety of formal methods, social models, and modern requirements writing techniques to be useful to practicing engineers. The book is intended for professional software engineers, systems engineers, and senior and graduate students of software or systems engineering. Since the first edition, there have been made many changes and improvements to this textbook. Feedback from instructors, students, and corporate users was used to correct, expand, and improve the materials. The fourth edition features two newly added chapters: "On Non-Functional Requirements" and "Requirements Engineering: Road Map to the Future." The latter provides a discussion on the relationship between requirements engineering and such emerging and disruptive technologies as Internet of Things, Cloud Computing, Blockchain, Artificial Intelligence, and Affective Computing. All chapters of the book were significantly expanded with new materials that keep the book relevant to current industrial practices. Readers will find expanded discussions on new elicitation techniques, agile approaches (e.g., Kanpan, SAFe, and DEVOps), requirements tools, requirements representation, risk management approaches, and functional size measurement methods. The fourth edition also has significant additions of vignettes, exercises, and references. Another new feature is scannable QR codes linked to sites containing updates, tools, videos, and discussion forums to keep readers current with the dynamic field of requirements engineering.

Today, relevant data are typically delivered to cloud-based servers for storing and analysis in order to extract key features and enable enhanced applications beyond the basic transmission of raw data and to realize the possibilities associated with the impending Internet of Things (IoT). To allow for quicker, more efficient, and expanded privacy-preserving services, a new trend called Fog Computing has emerged: moving these responsibilities to the network's edge. Traditional centralized cloud computing paradigms confront new problems posed by IoT application growth, including high latency, limited storage, and outages due to a lack of available resources. Fog Computing puts the cloud and IoT devices closer together to address these issues. Instead of sending IoT data to the cloud, the fog processes and stores it locally at IoT devices. Unlike the cloud, fog-based services have a faster reaction time and better quality overall. Fog Computing, Cloud Computing, and their connectivity with the IoT are discussed in this book, with an emphasis on the advantages and implementation issues. It also explores the various architectures and appropriate IoT applications. Fog Computing, Cloud Computing, and Internet of Things are being suggested as potential research directions. Features: A systematic overview of the state-of-the-art in Cloud Computing, Fog Computing, and Internet of Things Recent research results and some pointers to future advancements in architectures and methodologies Detailed examples from clinical studies using several different data sets

This new volume discusses how integrating IoT devices and cyber-physical systems can help society by providing multiple efficient and affordable services to users. It covers the various applications of IoT-based cyber-physical systems, such as satellite imaging in relation to climate change, industrial control systems, e-healthcare applications, security uses, automotive and traffic monitoring and control, urban smart city planning, and more. The authors also outline the methods, tools, and algorithms for IoT-based cyber-physical systems and explore the integration of machine learning, blockchain, and Internet of Things-based cloud applications. With the continuous emerging new technologies and trends in IoT technology and CPS, this volume will be a helpful resource for scientists, researchers, industry professionals, faculty and students, and others who wish to keep abreast of new developments and new challenges for sustainable development in Industry 4.0.

"Finding the right software for a company is downright scary Whether it's for inventory, e-commerce, accounting, e-mail, or whatever else the company needs, a poor software decision has negative ripple effects that can undermine business for years to come (and damage reputations as well).

This pragmatic book is for anyone charged with evaluating and choosing an application. It provides a systematic method for selecting the best software. In careful detail, the book guides readers through each key step to obtaining a package that meets their needs, based on: critical requirements, budget, culture, and in-house technical expertise. Readers learn how to:

* Create a request for proposal (RFP), and then understand how to thoroughly evaluate the vendors' responses

* Accurately compare requirements against the package

* Ensure that the vendor demonstrations really help them determine if the software can do the job they need

* Investigate the software company to make sure it's reliable

* Negotiate the contract to the organization's advantage."

Since the publication of the bestselling second edition 5 years ago, vast and new globally-relevant geographic datasets have become available to cartography practitioners, and with this has come the need for new ways to visualize them in maps as well as new challenges in ethically disseminating the visualizations. With new features and significant updates that address these changes, this edition remains faithful to the original vision that cartography instruction should be software agnostic. Discussing map design theory and technique rather than map design tools, this book focuses on digital cartography and its best practices. This third edition has completely new sections on how to deal with maps that go viral and the ethics therein; new presentation ideas; new features such as amenities, climate data, and hazards; the new Equal Earth projection; and vector tile design considerations. All chapters are thoroughly updated with new illustrations and new sections for datasets that didn't exist when the second edition was published, as well as new techniques and trends in cartography. New in the third edition: A true textbook, written with a friendly style and excellent examples explaining everything from layout design to fonts and colors, to specific design considerations for individual feature types, to static and dynamic cartography issues. Thoroughly updated with new features such as points of interest, climate data, hazards, and buildings; new projections such as the Equal Earth projection and the Spilhaus projection; and vector tile design considerations such as label placement techniques and tricks for making world-class basemaps. Includes over 70 new map examples that display the latest techniques in cartography. Reflects on new developments in color palettes; visualization patterns; datums; and non-static output media such as animation, interaction, and large-format cinematic techniques, that weren't available for the second edition. Defines and illustrates new terms that have made their way into the profession over the last few years such as story maps, flow maps, Dorling cartograms, spec sheets, bivariate choropleths, firefly cartography, Tanaka contours, and value-by-alpha. In this third edition, author Gretchen Peterson takes a "don't let the technology get in the way" approach to the presentation, focusing on the elements of good design, what makes a good map, and how to get there, rather than specific software tools. She provides a reference that you can thumb through time and again as you create your maps. Copiously illustrated, the third edition explores novel concepts that kick-start your pursuit of map-making excellence. The book doesn't just teach you how to design and create good maps, it teaches you how to design and create superior maps.

This book addresses the important role of communication within the context of performing an audit, project, or review (i.e., planning, detailed testing, and reporting). Intended for audit, information security, enterprise, and operational risk professionals at all levels, including those just starting out, Say What!? Communicate with Tact and Impact: What to Say to Get Results at Any Point in an Audit contains an array of practical and time-tested approaches that foster efficient and effective communication at any point during an engagement. The practical and memorable techniques are culled from author Ann M. Butera's CRP experience as a trusted advisor who has taught thousands of professionals how to develop and hone their interpersonal, communication, and empathic skills. Those familiar with the Five Tier Competency ModelTM she developed will recognize these techniques as a deep dive on the competencies comprising Tier 3: Project Management and Tier 5: Managing Constituent Relations. The author discusses the following behaviors in one's dealings with executives, process owners, control performers, and colleagues: Demonstrating executive presence Becoming the trusted advisor Influencing others Communicating with tact, confidence, and impact Facilitating productive meetings and discussions Overcoming resistance and objections Managing and resolving conflict Knowing when to let a topic go and move on This book is a guide for professionals who want to interact proactively and persuasively with those they work with, audit, or review. It describes techniques that can be used during virtual, in-person, telephone, or video conferences (as opposed to emails, workpapers, and reports). It provides everyone (newer associates in particular) with the interpersonal skills needed to (1) develop and build relationships with their internal constituents and clients, (2) facilitate conversations and discussions before and during meetings, and (3) handle impromptu questions with confidence and executive presence and make positive first impressions. The topics and techniques discussed are accompanied by case studies, examples, and exercises to give the readers the opportunity to develop plans to bridge the gap between theory and practice. The readers can use the book as a reliable resource when subject matter experts or training guides are not readily available.

Managers in organisations must make rational decisions. Rational decision making is the opposite of intuitive decision making. It is a strict procedure utilising objective knowledge and logic. It involves identifying the problem to solve, gathering facts, identifying options and outcomes, analysing them, considering all the relationships and selecting the decision. Rational decision making requires support: methods and software tools. The identification of the problem to solve needs methods that would measure and evaluate the current situation. Identification and evaluation of options and analysis of the available possibilities involves analysis and optimisation methods. Incorporating intuition into rational decision making needs adequate methods that would translate ideas or observed behaviours into hard data. Communication, observation and opinions recording is hardly possible today without adequate software. Information and data that form the input, intermediate variables and the output must be stored, managed and made accessible in a user-friendly manner. Rational Decisions in Organisations: Theoretical and Practical Aspects presents selected recent developments in the support of the widely understood rational decision making in organisations, illustrated through case studies. The book shows not only the variety of perspectives involved in decision making, but also the variety of domains where rational decision support systems are needed. The case studies present decision making by medical doctors, students and managers of various universities, IT project teams, construction companies, banks and small and large manufacturing companies. Covering the richness of relationships in which the decisions should and must be taken, the book illustrates how modern organisations operate in chains and networks; they have multiple responsibilities, including social, legal, business and ethical duties. Nowadays, managers in organisations can make transparent decisions and consider a multitude of stakeholders and their diverse features, incorporating diverse criteria, using multiple types and drivers of information and decision-making patterns, and referring to numerous lessons learned. As the book makes clear, the marriage of theoretical ideas with the possibilities offered by technology can make the decisions in organisations more rational and, at the same time, more human.

Disruptive technologies are gaining importance in healthcare systems and health informatics. By discussing computational intelligence, IoT, blockchain, cloud and big data analytics, this book provides support to researchers and other stakeholders involved in designing intelligent systems used in healthcare, its products, and its services. This book offers both theoretical and practical application-based chapters and presents novel technical studies on designing intelligent healthcare systems, products, and services. It offers conceptual and visionary content comprising hypothetical and speculative scenarios and will also include recently developed disruptive holistic techniques in healthcare and the monitoring of physiological data. Metaheuristic computational intelligence-based algorithms for analysis, diagnosis, and prevention of disease through disruptive technologies are also provided. Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics is written for researchers, academicians, and professionals to bring them up to speed on current research endeavours, as well as to introduce hypothetical and speculative scenarios.

Introduces edge computing, hardware for edge computing AI, edge virtualization techniques Explores edge intelligence and deep learning applications, training and optimization Explains machine learning algorithms for edge Reviews AI on IoT Discusses future edge computing needs

Unique selling point: * Set up to be used as a college textbook with a complete "Case Study" that involves the use of Python (a very key programming language at this time) Core audience: * Cyber security professionals, college students in a cyber forensics class, and individuals interested in cyber crime Place in the market: * Will build on the success of the previous two editions

Given their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines. Yet, these "black-box" ML models have found limited success due to their inability to work well in the presence of limited training data and generalize to unseen scenarios. As a result, there is a growing interest in the scientific community on creating a new generation of methods that integrate scientific knowledge in ML frameworks. This emerging field, called scientific knowledge-guided ML (KGML), seeks a distinct departure from existing "data-only" or "scientific knowledge-only" methods to use knowledge and data at an equal footing. Indeed, KGML involves diverse scientific and ML communities, where researchers and practitioners from various backgrounds and application domains are continually adding richness to the problem formulations and research methods in this emerging field. Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data provides an introduction to this rapidly growing field by discussing some of the common themes of research in KGML using illustrative examples, case studies, and reviews from diverse application domains and research communities as book chapters by leading researchers. KEY FEATURES First-of-its-kind book in an emerging area of research that is gaining widespread attention in the scientific and data science fields Accessible to a broad audience in data science and scientific and engineering fields Provides a coherent organizational structure to the problem formulations and research methods in the emerging field of KGML using illustrative examples from diverse application domains Contains chapters by leading researchers, which illustrate the cutting-edge research trends, opportunities, and challenges in KGML research from multiple perspectives Enables cross-pollination of KGML problem formulations and research methods across disciplines Highlights critical gaps that require further investigation by the broader community of researchers and practitioners to realize the full potential of KGML