This book explores the strategic decisions made by organizations when implementing cybersecurity controls and leveraging economic models and theories from the economics of information security and risk-management frameworks. Based on unique and distinct research completed within the field of risk-management and information security, this book provides insight into organizational risk-management processes utilized in determining cybersecurity investments. It describes how theoretical models and frameworks rely on either specific scenarios or controlled conditions and how decisions on cybersecurity spending within organizations-specifically, the funding available in comparison to the recommended security measures necessary for compliance-vary depending on stakeholders. As the trade-off between the costs of implementing a security measure and the benefit derived from the implementation of security controls is not easily measured, a business leader's decision to fund security measures may be biased. The author presents an innovative approach to assess cybersecurity initiatives with a risk-management perspective and leverages a data-centric focus on the evolution of cyber-attacks. This book is ideal for business school students and technology professionals with an interest in risk management.

A Sensible Guide to Program Management Professional (PgMP) (R) Success is for program managers preparing to take the PgMP exam based on The Standard for Program Management - 4th Edition (PgM4 Standard). It is designed for busy professionals whose responsibilities have taken them into the realm of coordinating, facilitating, managing, and leading programs. Program managers are leaders who are directly managing large amounts of project resources for their organizations. This study guide addresses three main concerns facing PgMP exam candidates: What are the essential concepts, processes, and tools that form the foundation of today's program management? Since program management is still an emerging profession with professionals often working in different ways, what does this mean for a "standard" exam? More specifically, how does that impact your ability to pass the PgMP exam? What is the best way to prepare for the PgMP exam? To address the first concern, this book highlights the underlying rationale for program management: why it exists in organizations; why it is becoming ever more important; what programs are, especially for the purpose of passing the exam; how to think like a portfolio manager; and what the most important concepts, processes, and tools are for this profession. By simplifying complex ideas and communicating them in plain English with relevant examples, this book aims to help readers not only to pass the PgMP exam but also to serve as an essential guide for program managers. For the second concern, this book differs from other study guides by describing the author's personal experience as a program manager and addressing the most pressing questions for each of the performance domains in The Standard for Program Management. To address the last concern, this book contains 420 practice questions, access to an online exam simulator and an online PgMP community, and a time-tested approach for passing the PgMP exam.

Soft computing techniques are no longer limited to the arena of computer science. The discipline has an exponentially growing demand in other branches of science and engineering and even into health and social science. This book contains theory and applications of soft computing in engineering, health, and social and applied sciences. Different soft computing techniques such as artificial neural networks, fuzzy systems, evolutionary algorithms and hybrid systems are discussed. It also contains important chapters in machine learning and clustering. This book presents a survey of the existing knowledge and also the current state of art development through original new contributions from the researchers. This book may be used as a one-stop reference book for a broad range of readers worldwide interested in soft computing. In each chapter, the preliminaries have been presented first and then the advanced discussion takes place. Learners and researchers from a wide variety of backgrounds will find several useful tools and techniques to develop their soft computing skills. This book is meant for graduate students, faculty and researchers willing to expand their knowledge in any branch of soft computing. The readers of this book will require minimum prerequisites of undergraduate studies in computation and mathematics.

Already in just a decade of existence, cryptocurrencies have been the world's best-performing financial asset, outperforming stocks, bonds, commodities and currencies. This comprehensive yet concise book will enable the reader to learn about the nuts and bolts of cryptocurrencies, including their history, technology, regulations and economics. Additionally, this book teaches sound investment strategies that already work along with the spectrum of risks and returns. This book provides a plain-language primer for beginners worldwide on how to confidently navigate the rapidly evolving world of cryptocurrencies. Beginning by cutting to the chase, the author lists the common burning questions about cryptocurrency and provides succinct answers. Next, he gives an overview of cryptocurrency's underlying technology: blockchain. He then explores the history of cryptocurrency and why it's attracted so much attention. With that foundation, readers will be ready to understand how to invest in cryptocurrency: how cryptocurrency differs from traditional investments such as stocks, how to decide which cryptocurrency to invest in, how to acquire it, how to send and receive it, along with investment strategies. Additionally, legal issues, social implications, cybersecurity risks and the vocabulary of cryptocurrency are also covered, including Bitcoin and the many alternative cryptocurrencies. Written by a journalist-turned-professor, this book's appeal lies in its succinct, informative and easy-to-understand style. It will be of great interest to anyone looking to further their understanding of what cryptocurrency is, why it's a big deal, how to acquire it, how to send and receive it, and investment strategies.

Coefficient of Variation (CV) is a unit free index indicating the consistency of the data associated with a real-world process and is simple to mold into computational paradigms. This book provides necessary exposure of computational strategies, properties of CV and extracting the metadata leading to efficient knowledge representation. It also compiles representational and classification strategies based on the CV through illustrative explanations. The potential nature of CV in the context of contemporary Machine Learning strategies and the Big Data paradigms is demonstrated through selected applications. Overall, this book explains statistical parameters and knowledge representation models.

As digital technologies occupy a more central role in working and everyday human life, individual and social realities are increasingly constructed and communicated through digital objects, which are progressively replacing and representing physical objects. They are even shaping new forms of virtual reality. This growing digital transformation coupled with technological evolution and the development of computer computation is shaping a cyber society whose working mechanisms are grounded upon the production, deployment, and exploitation of big data. In the arts and humanities, however, the notion of big data is still in its embryonic stage, and only in the last few years, have arts and cultural organizations and institutions, artists, and humanists started to investigate, explore, and experiment with the deployment and exploitation of big data as well as understand the possible forms of collaborations based on it. Big Data in the Arts and Humanities: Theory and Practice explores the meaning, properties, and applications of big data. This book examines therelevance of big data to the arts and humanities, digital humanities, and management of big data with and for the arts and humanities. It explores the reasons and opportunities for the arts and humanities to embrace the big data revolution. The book also delineates managerial implications to successfully shape a mutually beneficial partnership between the arts and humanities and the big data- and computational digital-based sciences. Big data and arts and humanities can be likened to the rational and emotional aspects of the human mind. This book attempts to integrate these two aspects of human thought to advance decision-making and to enhance the expression of the best of human life.

The past decade has seen a dramatic increase in the amount and variety of information that is generated and stored electronically by business enterprises. Storing this increased volume of information has not been a problem to date, but as these information stores grow larger and larger, multiple challenges arise for senior management: namely, questions such as "How much is our data worth?" "Are we storing our data in the most cost-effective way?" "Are we managing our data effectively and efficiently?" "Do we know which data is most important?" "Are we extracting business insight from the right data?" "Are our data adding to the value of our business?" "Are our data a liability?" "What is the potential for monetizing our data?" and "Do we have an appropriate risk management plan in place to protect our data?" To answer these value-based questions, data must be treated with the same rigor and discipline as other tangible and intangible assets. In other words, corporate data should be treated as a potential asset and should have its own asset valuation methodology that is accepted by the business community, the accounting and valuation community, and other important stakeholder groups. Valuing Data: An Open Framework is a first step in that direction. Its purpose is to: Provide the reader with some background on the nature of data Present the common categories of business data Explain the importance of data management Report the current thinking on data valuation Offer some business reasons to value data Present an "open framework"-along with some proposed methods-for valuing data The book does not aim to prescribe exactly how data should be valued monetarily, but rather it is a "starting point" for a discussion of data valuation with the objective of developing a stakeholder consensus, which, in turn, will become accepted standards and practices.

This book is about the process of using analytics and the capabilities of analytics in today's organizations. Cutting through the buzz surrounding the term analytics and the overloaded expectations about using analytics, the book demystifies analytics with an in-depth examination of concepts grounded in operations research and management science. Analytics as a set of tools and processes is only as effective as: The data with which it is working The human judgment applying the processes and understanding the output of these processes. For this reason, the book focuses on the analytics process. What is intrinsic to analytics' real organizational impact are the careful application of tools and the thoughtful application of their outcomes. This work emphasizes analytics as part of a process that supports decision-making within organizations. It wants to debunk overblown expectations that somehow analytics outputs or analytics as applied to other concepts, such as Big Data, are the be-all and end-all of the analytics process. They are, instead, only a step within a holistic and critical approach to management thinking that can create real value for an organization. To develop this holistic approach, the book is divided into two sections that examine concepts and applications. The first section makes the case for executive management taking a holistic approach to analytics. It draws on rich research in operations and management science that form the context in which analytics tools are to be applied. There is a strong emphasis on knowledge management concepts and techniques, as well as risk management concepts and techniques. The second section focuses on both the use of the analytics process and organizational issues that are required to make the analytics process relevant and impactful.

The Stakeholder Perspective places people at the center of both projects and project management. It gives to the project management community a helpful, innovative, stakeholder-centered approach to increase projects' delivered value and success rate. It presents a logical model also called the "Stakeholder Perspective," which acts as the reference point in a structured path to effectiveness. Starting from the analysis of a project's stakeholders, the model integrates both rational and relational innovative approaches. Its continuous focus on stakeholder requirements and expectations helps to set a proper path, and to maintain it, in order to target success and to achieve goals in a variety of projects with different size and complexity. The book presents a set of innovative and immediately applicable techniques for effective stakeholder identification and classification, as well as analysis of stakeholder requirements and expectations, key stakeholders management, stakeholder network management, and, more generally, stakeholder relationship management. The proposed stakeholder classification model consists of just four communities, each one based on the commonality of main interests and behavior. This model features an accurate and stable identification process to increase effective communication and drastic reduce relationship complexity. A systemic approach is proposed to analyze both stakeholder requirements and expectations. The approach aids in detecting otherwise unclear stakeholder requirements and/or hidden stakeholder expectations. An interactive communication model is presented along with its individual and organizational frames of reference. Also presented are relevant cues to maximize effective and purposeful communication with key stakeholders as well as with the stakeholder network. The importance of satisfying not only the project requirements but also the stakeholder expectations is demonstrated to be the critical success factor in all projects. An innovative approach based on the perceived value and key performance indicators shows how to manage different levels of project complexity. The book also defines a complete structured path to relationship effectiveness called "Relationship Management Project," which can be tailored to enhance stakeholder and communication management processes in each one of the project management process groups (i.e. initiating, planning, executing, monitoring and controlling, and closing). The book concludes with a look ahead at Project Management X.0 and the stakeholder-centered evolution of both project and portfolio management.

This book focuses primarily on both technical and business aspects needed to select, design, develop and deploy control application (or product) successfully for multiple components in building systems. Designing and deploying a control application require multiple steps such as sensing, system dynamics modelling, algorithms, and testing. This may involve choosing an appropriate methodology and technique at multiple stages during the development process. Understanding the pros and cons of such techniques, most importantly being aware of practically possible approaches in the entire ecosystem, is critical in choosing the best framework and system application for different parts of building systems. Providing a wide overview of the state-of art in controls and building systems, providing guidance on developing an end-to-end system in relation to business fundamentals (distribution channels, stakeholders, marketing, supply-chain and financial management), the book is ideal for fourth-year control/mechanical/electrical engineering undergraduates, graduate students, and practitioners including business leaders concerned with smart building technology.

This book contains a collection of scientific chapters addressing the emerging trends in IT and telecommunications, as well as the issues that accompany them in business. It addresses issues in cyber applications, ICT solutions and innovative cyber know-how, and demonstrates how high-tech IT communications resources can be used to improve business production, sales and service strategies, supply chains and logistics. The book is based on articles from ICCMIT'20, extending their approach to specific chapters. The chapters cover issues such as financial management, technological upgrades, Industry 4.0 and the trend towards sustainable development. It utilizes examples of technologically advanced enterprises developing under Industry 4.0 assumptions at the stage of digital transformation, which integrate digital technologies and business processes. In addition, this book discusses issues related to cyber risk management and the implementation of a number of safeguards for digitized enterprises. Enterprises that orient themselves towards technological innovations find that they can reach customers faster, are more effectively managed and can achieve a competitive advantage over other businesses. This book will be a great aid to professionals in such companies, both in IT departments and in the management team.

This book demands that we question what we are told about security, using tools we have had for thousands of years. The work considers the history of security rhetoric in a number of distinct but related contexts, including the United States' security strategy, the "war" on Big Tech, and current concerns such as cybersecurity. Focusing on the language of security discourse, it draws common threads from the ancient world to the present day and the near future. The book grounds recent comparisons of Donald Trump to the Emperor Nero in a linguistic evidence base. It examines the potential impact on society of policy-makers' emphasis on the novelty of cybercrime, their likening of the internet to the Wild West, and their claims that criminals have "gone dark". It questions governments' descriptions of technology companies in words normally reserved for terrorists, and asks who might benefit. Interdisciplinary in approach, the book builds on existing literature in the Humanities and Social Sciences, most notably studies on rhetoric in Greco-Roman texts, and on the articulation of security concerns in law, international relations, and public policy contexts. It adds value to this body of research by offering new points of comparison, and a fresh but tried and tested way of looking at problems that are often presented as unprecedented. It will be essential to legal and policy practitioners, students of Law, Politics, Media, and Classics, and all those interested in employing critical thinking.

In just 24 lessons of one hour or less, Design Thinking for Tech helps you inject techniques and exercises into your projects using the same systematic and creative process that designers have used for years. Anderson walks you through a simple four-phase Design Thinking model, showing how to loop back, keep learning, and continuously refine your work. You start by understanding the essential "what, how, when, why, and who" of Design Thinking. Next, you use core Design Thinking techniques to understand the big picture, focus on your most critical problems, think more creatively about them, take the "next best steps" toward problem resolution and value creation, and along the way rapidly iterate for progress. Every lesson builds on what you've already learned, with exercises crafted to deliver directly relevant experience. Regardless of your role in the world of technology, you'll learn how to supercharge success for any tech-related project, business initiative, or digital transformation. Learn how to... Apply a simple four-phased Design Thinking model in team and individual settings Inject game-changing methods into the project lifecycle Gain crucial "big picture" insights into how a situation has evolved over time Build and maintain healthier, more resilient teams Reskill teams to deliver greater business, functional, and technical impact Set and manage realistic expectations through a 360 Degrees view of your stakeholders Connect, communicate, and empathize with the right people at the right time Liberate the ideas trapped in your head so you can explore them deeply with others Think divergently, expand creativity, and work through uncertainty Navigate problems to quickly arrive at potential solutions Deliver incremental yet real value to people who desperately need it Start small to deliver greater value at velocity Improve how you approach and manage change Step-by-step instructions carefully walk you through the most common tasks. Practical, hands-on examples show you how to apply what you learn. Quizzes and exercises help you test your knowledge and stretch your skills. Notes and tips point out shortcuts and solutions.

Digitising Enterprise in an Information Age is an effort that focuses on a very vast cluster of Enterprises and their digitising technology involvement and take us through the road map of the implementation process in them, some of them being ICT, Banking, Stock Markets, Textile Industry & ICT, Social Media, Software Quality Assurance, Information Systems Security and Risk Management, Employee Resource Planning etc. It delves on increased instances of cyber spamming and the threat that poses to e-Commerce and Banking and tools that help and Enterprise toward of such threats. To quote Confucius, "As the water shapes itself to the vessel that contains it, so does a wise man adapts himself to circumstances." And the journey of evolution and progression will continue and institutions and enterprises will continue to become smarter and more and more technology savvy. Enterprises and businesses across all genre and spectrum are trying their level best to adopt to change and move on with the changing requirements of technology and as enterprises and companies upgrade and speed up their digital transformations and move their outdate heirloom systems to the cloud, archaic partners that don't keep up will be left behind. Note: T&F does not sell or distribute the Hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka.

Recent progress in artificial intelligence (AI) has revolutionized our everyday life. Many AI algorithms have reached human-level performance and AI agents are replacing humans in most professions. It is predicted that this trend will continue and 30% of work activities in 60% of current occupations will be automated. This success, however, is conditioned on availability of huge annotated datasets to training AI models. Data annotation is a time-consuming and expensive task which still is being performed by human workers. Learning efficiently from less data is a next step for making AI more similar to natural intelligence. Transfer learning has been suggested a remedy to relax the need for data annotation. The core idea in transfer learning is to transfer knowledge across similar tasks and use similarities and previously learned knowledge to learn more efficiently. In this book, we provide a brief background on transfer learning and then focus on the idea of transferring knowledge through intermediate embedding spaces. The idea is to couple and relate different learning through embedding spaces that encode task-level relations and similarities. We cover various machine learning scenarios and demonstrate that this idea can be used to overcome challenges of zero-shot learning, few-shot learning, domain adaptation, continual learning, lifelong learning, and collaborative learning.

Google's Programmable Search Engines (PSEs, previously called Custom Search Engines) provide search opportunities that are unavailable with any other tool. PSEs have advanced settings and search operators that are not supported by "regular" Google. With PSEs, it is possible to perform filtered searches within parts of the web as if they were databases! While lots of professionals use existing PSEs to source for talent or with other research goals, few people have experience creating them. Even fewer know about powerful PSE-only search operators. The main reason PSEs are not as popular as they should be is that it is not easy to get educated on PSE creation. There is little information online and no books (other than this one) on the subject. Even less info is available on the "structured" operators that allow for filtered searches. The first of its kind, this book hopes to popularize these fun and powerful tools so that many more people can include PSEs in their work. Key Features: A detailed introduction to creating PSEs, including info absent in Google's help A "hack" for creating PSEs that look for profiles in seconds An introduction to advanced PSE-only search operators allowed to perform filtered searches of parts of the web A "hack" for expanding Google's search limits to 500 terms Use cases, examples, and approaches that would be educational for those doing online research This book will be of interest to researchers, OSINT specialists, investigative journalists, Competitive Intelligence people, recruiters, and Sourcers, to name a few categories, and to the general public interested in how to search better.

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High quality meshes play a key role in many applications based on digital modeling and simulation. The finite element method is a paragon for such an approach and it is well known that quality meshes can significantly improve computational efficiency and solution accuracy of this method. Therefore, a lot of effort has been put in methods for improving mesh quality. These range from simple geometric approaches, like Laplacian smoothing, with a high computational efficiency but possible low resulting mesh quality, to global optimization-based methods, resulting in an excellent mesh quality at the cost of an increased computational and implementational complexity. The geometric element transformation method (GETMe) aims to fill the gap between these two approaches. It is based on geometric mesh element transformations, which iteratively transform polygonal and polyhedral elements into their regular counterparts or into elements with a prescribed shape. GETMe combines a Laplacian smoothing-like computational efficiency with a global optimization-like effectiveness. The method is straightforward to implement and its variants can also be used to improve tangled and anisotropic meshes. This book describes the mathematical theory of geometric element transformations as foundation for mesh smoothing. It gives a thorough introduction to GETMe-based mesh smoothing and its algorithms providing a framework to focus on effectively improving key mesh quality aspects. It addresses the improvement of planar, surface, volumetric, mixed, isotropic, and anisotropic meshes and addresses aspects of combining mesh smoothing with topological mesh modification. The advantages of GETMe-based mesh smoothing are demonstrated by the example of various numerical tests. These include smoothing of real world meshes from engineering applications as well as smoothing of synthetic meshes for demonstrating key aspects of GETMe-based mesh improvement. Results are compared with those of other smoothing methods in terms of runtime behavior, mesh quality, and resulting finite element solution efficiency and accuracy. Features: * Helps to improve finite element mesh quality by applying geometry-driven mesh smoothing approaches. * Supports the reader in understanding and implementing GETMe-based mesh smoothing. * Discusses aspects and properties of GETMe smoothing variants and thus provides guidance for choosing the appropriate mesh improvement algorithm. * Addresses smoothing of various mesh types: planar, surface, volumetric, isotropic, anisotropic, non-mixed, and mixed. * Provides and analyzes geometric element transformations for polygonal and polyhedral elements with regular and non-regular limits. * Includes a broad range of numerical examples and compares results with those of other smoothing methods.

The book is based on the best papers of IEEE IRI 2018 and IEEE FMI 2018, Salt Lake City, July, 2018. They have been enhanced and modified suitably for publication. The book comprises recent works covering several aspects of reuse in intelligent systems - including Scientific Theory and Technology-Based Applications. New data analytic algorithms, technologies, and tools are sought to be able to manage, integrate, and utilize large amounts of data despite hardware, software, and/or bandwidth constraints; to construct models yielding important data insights, and to create visualizations to aid in presenting and understanding the data. Furthermore, it addresses the representation, cleansing, generalization, validation, and reasoning strategies for the scientifically-sound and cost-effective advancement of all kinds of intelligent systems - including all software and hardware aspects. The book addresses problems such as, how to optimally select the information/data sets for reuse and how to optimize the integration of existing information/knowledge with new, developing information/knowledge sources!

Originally published in 1990 and unique in terms of diversity and extent, this book covers a wide geographical area, including Jamaica, Tunisia, Malaysia, India, Mauritius, Turkey, Jordan, Cyprus and Panama. Combining an emphasis on actual practice with an awareness of the wider implications of the use of high tech in developing countries, it looks at how computers can be a force for change. The book looks at more than twenty case studies of the use of personal computers for the planning and management of human settlements in developing countries.

Numerical Methods for Unsteady Compressible Flow Problems is written to give both mathematicians and engineers an overview of the state of the art in the field, as well as of new developments. The focus is on methods for the compressible Navier-Stokes equations, the solutions of which can exhibit shocks, boundary layers and turbulence. The idea of the text is to explain the important ideas to the reader, while giving enough detail and pointers to literature to facilitate implementation of methods and application of concepts. The book covers high order methods in space, such as Discontinuous Galerkin methods, and high order methods in time, in particular implicit ones. A large part of the text is reserved to discuss iterative methods for the arising large nonlinear and linear equation systems. Ample space is given to both state-of-the-art multigrid and preconditioned Newton-Krylov schemes. Features Applications to aerospace, high-speed vehicles, heat transfer, and more besides Suitable as a textbook for graduate-level courses in CFD, or as a reference for practitioners in the field

This book focuses primarily on both technical and business aspects needed to select, design, develop and deploy control application (or product) successfully for multiple components in building systems. Designing and deploying a control application require multiple steps such as sensing, system dynamics modelling, algorithms, and testing. This may involve choosing an appropriate methodology and technique at multiple stages during the development process. Understanding the pros and cons of such techniques, most importantly being aware of practically possible approaches in the entire ecosystem, is critical in choosing the best framework and system application for different parts of building systems. Providing a wide overview of the state-of art in controls and building systems, providing guidance on developing an end-to-end system in relation to business fundamentals (distribution channels, stakeholders, marketing, supply-chain and financial management), the book is ideal for fourth-year control/mechanical/electrical engineering undergraduates, graduate students, and practitioners including business leaders concerned with smart building technology.

Computer software and its structures, devices and processes are woven into our everyday life. Their significance is not just technical: the algorithms, programming languages, abstractions and metadata that millions of people rely on every day have far-reaching implications for the way we understand the underlying dynamics of contemporary societies. In this innovative new book, software studies theorist Matthew Fuller examines how the introduction and expansion of computational systems into areas ranging from urban planning and state surveillance to games and voting systems are transforming our understanding of politics, culture and aesthetics in the twenty-first century. Combining historical insight and a deep understanding of the technology powering modern software systems with a powerful critical perspective, this book opens up new ways of understanding the fundamental infrastructures of contemporary life, economies, entertainment and warfare. In so doing Fuller shows that everyone must learn how to be a geek , as the seemingly opaque processes and structures of modern computer and software technology have a significance that no-one can afford to ignore. This powerful and engaging book will be of interest to everyone interested in a critical understanding of the political and cultural ramifications of digital media and computing in the modern world.

Blockchain is a technology that has attracted the attention of all types of businesses. Cryptocurrency such as Bitcoin has gained the most attention, but now companies are applying Blockchain technology to develop solutions improving traditional applications and securing all types of transactions. Robust and innovative, this technology is being combined with other well-known technologies including Cloud Computing, Big Data, and IoT to revolutionize outcomes in all verticals. Unlike books focused on financial applications, Essential Enterprise Blockchain Concepts and Applications is for researchers and practitioners who are looking for secure, viable, low-cost, and workable applications to solve a broad range of business problems. The book presents research that rethinks how to incorporate Blockchain with existing technology. Chapters cover various applications based on Blockchain technology including: Digital voting Smart contracts Supply chain management Internet security Logistics management Identity management Securing medical devices Asset management Blockchain plays a significant role in providing security for data operations. It defines how trusted transactions can be carried out and addresses Internet vulnerability problems. Blockchain solves the security fault line between AI and IoT in smart systems as well as in other systems using devices connected to each other through public networks. Linear and permanent indexed records are maintained by Blockchain to face the vulnerability issues in a wide variety applications. In addition to applications, the book also covers consensus algorithms and protocols and performance of Blockchain algorithms.