This book questions the nature of the business and social information systems so ubiquitous in contemporary life. Linking positivism, individualism, and market-fundamentalist economics at the root of these systems, it critiques the philosophical ground of this triumvirate as fundamentally against nature. Connecting counter-philosophies of the subject as a natural part of existence, with more collectivist and ecological economics, it presents a historical critique of the development of the academic field of information systems and offers a complex view of the nature of Nature through which we might reshape our approach to technology and to our economies to overcome the existential threat of climate change. As such, it will appeal to philosophers, social theorists, and scholars of science and technology studies with interests in the environment and ecology, as well as those working in the field of information systems.

Modelling and simulation techniques are of central importance to conducting research in sport and exercise science, informing data collection and helping to analyze patterns of movement and physical performance. Modelling and Simulation in Sport and Exercise is the first book to offer an instructive reference for modelling and simulation methods for researchers and sport and exercise scientists. Based around a series of research cases, describing core theories in applied, practical settings, the book draws on examples of modelling and simulation in ball games, biomechanical analysis, physiological testing and monitoring, predictive analysis and sports engineering and product design. Each research case presents a central problem, discusses different modelling approaches that could be used to deal with the issue, analysis of results and a reflection on the methodology and an exercise for students to put the techniques discussed into practice. This is an important reference for any active researcher or upper-level student in sport and exercise science with an interest in mathematical modelling, computer science or simulation techniques.

Statistical Methods in Computer Security summarizes discussions held at the recent Joint Statistical Meeting to provide a clear layout of current applications in the field. This blue-ribbon reference discusses the most influential advancements in computer security policy, firewalls, and security issues related to passwords. It addresses crime and misconduct on the Internet, considers the development of infrastructures that may prevent breaches of security and law, and illustrates the vulnerability of networked computers to new virus attacks despite widespread deployment of antivirus software, firewalls, and other network security equipment.

Nature-Inspired Optimization Algorithms, a comprehensive work on the most popular optimization algorithms based on nature, starts with an overview of optimization going from the classical to the latest swarm intelligence algorithm. Nature has a rich abundance of flora and fauna that inspired the development of optimization techniques, providing us with simple solutions to complex problems in an effective and adaptive manner. The study of the intelligent survival strategies of animals, birds, and insects in a hostile and ever-changing environment has led to the development of techniques emulating their behavior. This book is a lucid description of fifteen important existing optimization algorithms based on swarm intelligence and superior in performance. It is a valuable resource for engineers, researchers, faculty, and students who are devising optimum solutions to any type of problem ranging from computer science to economics and covering diverse areas that require maximizing output and minimizing resources. This is the crux of all optimization algorithms. Features: Detailed description of the algorithms along with pseudocode and flowchart Easy translation to program code that is also readily available in Mathworks website for some of the algorithms Simple examples demonstrating the optimization strategies are provided to enhance understanding Standard applications and benchmark datasets for testing and validating the algorithms are included This book is a reference for undergraduate and post-graduate students. It will be useful to faculty members teaching optimization. It is also a comprehensive guide for researchers who are looking for optimizing resources in attaining the best solution to a problem. The nature-inspired optimization algorithms are unconventional, and this makes them more efficient than their traditional counterparts.

Several statistical techniques are used for the design of materials through extraction of knowledge from existing data banks. These approaches are getting more attention with the application of computational intelligence techniques. This book illustrates the alternative but effective methods of designing materials, where models are developed through capturing the inherent correlations among the variables on the basis of available imprecise knowledge in the form of rules or database, as well as through the extraction of knowledge from experimental or industrial database, and using optimization tools.

In this book, Steffen Lange and Tilman Santarius investigate how digitalization influences environmental and social sustainability. The information revolution is currently changing the daily lives of billions of people worldwide. At the same time, the current economic model and consumerist lifestyle needs to be radically transformed if society is to overcome the challenges humanity is facing on a finite planet. Can the much-discussed disruption potential of digitalization be harnessed for this purpose? Smart Green World? provides guiding principles for a sustainable digital society and develops numerous hands-on proposals for how digitalization can be shaped to become a driving force for social transformation. For instance, the authors explain why more digitalization is needed to realize the transition towards 100% renewable energy and show how this can be achieved without sacrificing privacy. They analyze how the information revolution can transform consumption patterns, mobility habits and industry structures - instead of fostering the consumption of unneeded stuff due to personalized commercials and the acceleration of life. The authors reveal how Artificial Intelligence and the Industrial Internet of Things pose novel environmental challenges and contribute to a polarization of income; but they also demonstrate how the internet can be restored to its status as a commons, with users taking priority and society at large reaping the benefits of technological change in a most democratic way. Providing a comprehensive and practical assessment of both social and environmental opportunities and challenges of digitalization, Smart Green World? Making Digitalization Work for Sustainability will be of great interest to all those studying the complex interrelationship of the twenty-first-century megatrends of digitalization and decarbonization.

How to lead the digital transformation of governments Digital Government Excellence: Lessons from Effective Digital Leaders delivers a fascinating treatment of digital leadership as governments around the world start or restart the digital transformation of their work and service delivery. The author provides a playbook on how to achieve digital excellence via interviews with 20 remarkable digital government leaders from around the world. Each one offers insights on strategies for how to incorporate the best of digital into public services and practical tips on leading digital reforms and delivery teams. The book also: Explores how to begin the task of making all of government to "go digital" or go deeper and bolder in this direction, including the first steps and beyond Highlights leadership styles and practices for effective and lasting delivery of digital strategies and reforms Provides food for thought about what it takes to be an impactful digital transformation leader - in government and beyond The book is ideal for Chief Digital/Information/Technology Officers or digital agency leaders in public service. Digital Government Excellence is also an indispensable resource for any practitioner, policymaker or political leader in governments at any level, as well as any student or advisor of governments looking into how to deliver digital transformation in the public sector.

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 volume contains articles related to the work of the Simons Collaboration "Arithmetic Geometry, Number Theory, and Computation." The papers present mathematical results and algorithms necessary for the development of large-scale databases like the L-functions and Modular Forms Database (LMFDB). The authors aim to develop systematic tools for analyzing Diophantine properties of curves, surfaces, and abelian varieties over number fields and finite fields. The articles also explore examples important for future research. Specific topics include algebraic varieties over finite fields the Chabauty-Coleman method modular forms rational points on curves of small genus S-unit equations and integral points.

The international conference "Sustainable Collaboration in Business, Technology, Information and Innovation (SCBTII) 2019" has brought together academics, professionals, entrepreneurs, researchers, learners, and other related groups from around the world who have a special interest in theories and practices in the development of the field of digital economy for global competitiveness. Considering that, at present, technology and industry 4.0 are still a leading trend and offer great opportunities for global businesses, the rise of industry 4.0 makes competition in the business world more attractive, yet fierce. Opportunities and challenges for business development in industry 4.0 are becoming firm and it also provides businesses the possibility to compete globally. Companies that desire to enter this global competition should pay attention to customer benefits and business fairness in order to achieve sustainability in this digital economy. This proceedings volume contains selected papers from this conference and presents opportunities to communicate and exchange new ideas and experiences. Moreover, the conference provided opportunities, both for the presenters and the participants, to establish research relations, and find global partners for future collaboration.

This book facilitates a systematic comprehension of internal workings of corporate governance in practice. Facets of this multidisciplinary, constantly evolving field are discussed and interrelationships among them are explained to provide insights on how certain precepts come into play for various roles in governance. This book pragmatically explains and illustrates with a view to integrate. To keep the scope achievable, the emphasis is placed on the U.S.-based companies; where possible, differences in governance around the world are identified. Three rich sources of knowledge help shape the message of this book: existing paradigms, personal experience in governance, and research on issues and challenges of governance. Features: Permits a holistic view of the complex corporate governance landscape. Discusses and generously illustrates the practice of corporate governance. Aids understanding of issues and challenges of corporate governance. Identifies ways to advance the value of one's role in corporate governance. Teaches how to avoid crucial mistakes that compromise the value of one's contribution in the governance process. If you are a professional accountant, securities lawyer, economist, financial analyst, auditor, executive, entrepreneur, or an investor, you will find the book helpful in understanding the entire landscape of governance fairly quickly. Those already involved in the governance arena may find the book refreshing, and may use it to coach others. This book can serve as a reference book in any offering of a course at any academic level.

R Visualizations: Derive Meaning from Data focuses on one of the two major topics of data analytics: data visualization, a.k.a., computer graphics. In the book, major R systems for visualization are discussed, organized by topic and not by system. Anyone doing data analysis will be shown how to use R to generate any of the basic visualizations with the R visualization systems. Further, this book introduces the author's lessR system, which always can accomplish a visualization with less coding than the use of other systems, sometimes dramatically so, and also provides accompanying statistical analyses. Key Features Presents thorough coverage of the leading R visualization system, ggplot2. Gives specific guidance on using base R graphics to attain visualizations of the same quality as those provided by ggplot2. Shows how to create a wide range of data visualizations: distributions of categorical and continuous variables, many types of scatterplots including with a third variable, time series, and maps. Inclusion of the various approaches to R graphics organized by topic instead of by system. Presents the recent work on interactive visualization in R. David W. Gerbing received his PhD from Michigan State University in 1979 in quantitative analysis, and currently is a professor of quantitative analysis in the School of Business at Portland State University. He has published extensively in the social and behavioral sciences with a focus on quantitative methods. His lessR package has been in development since 2009.

Information Engineering for Port and Marine Environments provides the technology of tidal level prediction, the technology of oil spill early-warning, and the research for the theory of storm sedimentation, the construction for monitor ability, the early-warning service for numerical simulation and operational, which involves many aspects such as theoretical research, system establishment, and application of information technology, et al. Because of the certain prospective and advancement of multiple work, it will play a positive role in promoting the related technology of the field. There are several of important offshore ports in China, such as Tianjin port, Yangshan Port, Ningbo-Zhoushan port, Huanghua port et al., most of them are located in the coast of muddy and muddy silty, and the depth of water is shallow, the sediment deposition is serious, the large ship is operated by tide. In order to sufficiently keep the rapid and stable economic growth in bay, estuary and delta, guarantee the security of port, channel, maritime, oceanic engineering and resource development of oil and gas, and better escort for the social economy activities, it is essential to provide the information service of sediment and ocean hydrometeorology with width coverage, and forecasting and warning information. It is all the latest research results in the book, which involves many fields such as physical oceanography, meteorology, biology, chemistry, geology, environment, transportation and law and so on. The development of information assurance and prediction system for port shipping and ocean environment is a huge and arduous project. It is too hasty to finish the book, due to the limited knowledge of the author, the careless is unavoidable, cordially invites the readers to point out. Features: An entire system to forecast the port shipping and ocean environment information is proposed, including what is the port shipping and ocean environment information. The concept of port shipping and ocean environment data integration is presented, and the essential modules are built for the ocean dynamics model. The high performance port shipping and ocean environment data processing system is constructed, and the model dataset and geographic information is obtained to build the basic database. The application of information assurance technology for port shipping and ocean environment is conducted at Tianjin port and Yangshan Port. This book is meant for senior undergraduates and postgraduate students in the fields of geoinformatics, Port engineering and Marine engineering. Engineers and technicians in the related fields can also use it for reference.

It takes 17 years on average to bring new medical treatments ideas into evidence-based clinical practice. The growing replicability crisis in science further delays these "new miracles." Blockchain can improve science and accelerate medical research while bringing a new layer of trust to healthcare. This book is about science, its value to medicine, and how we can use blockchain to improve the quality and impact of both. The book looks at science and medicine from an insider's perspective and describes the processes, successes, shortcomings and opportunities in an accessible way for a broad audience. It weaves this a non-technical look at the emerging world of blockchain technology; what it is, where it is useful, and how it can improve science and medicine. It lays out a roadmap for this application to transform how we develop knowledge about health and medicine to improve our lives. In the first part, Blockchain isn't Tech, the authors look at blockchain/distributed ledger technology along with critical trade-offs and current explorations of its utility. They give an overview of use cases for the technology across industries, including finance, manufacturing and healthcare, with interviews and insights from leaders across government, academia, and tech/health industry both big and start-up. In the second part, Science is Easy, the authors look at science as a process and how this drives advancement in medicine. They shed a light on some of science's shortcomings, including the reproducibility crisis and problems with misaligned incentives (i.e. publish or perish). They apply a breakdown of critical components to the functional steps in the scientific process and outline how the open science movement is looking to improve these, while highlighting the limit of these fixes with current technology, incentives and structure of science. In the third part, DAO of Science, the authors look at how blockchain applied to open science can impact medical research. They examine how this distributed approach can provide better quality science, value-based research and faster medical miracles. Finally, they provide a vision of the future of distributed medical research and give a roadmap of steps to get there.

The Korean War is multiple wars. Not only is it a war that began on 25 June 1950, but it is also a conflict that is rooted in Korea's colonial experiences, postcolonial desires and frustrations, and interventions and partitions imposed by outside forces. In South Korea, the war is a site of contestation: Which war should be remembered and how should it be remembered? The site has been overwhelmed by the Manichean official discourse that pits evil communists against innocent Koreans, but the hegemonic project remains unfinished in the face of the resiliency embodied in the survivors who have withstood multiple killings by the state. The historical significance of the Truth and Reconciliation Commission, Republic of Korea (TRCK), lies in its success in bringing back to life the voices of the silenced that complicate the hegemonic memory of the war as yugio, the "June 25th war." At the same time, the Commission embodies the structural dilemma that the effort to give voice to the silenced has turned to the state to redress the state's wrongdoings. The TRCK as such stands on the problematic boundary between violence and post-violence, insecurity and security, exception and normalcy. Truth and reconciliation, and human security, are perhaps located in a process of defining and redefining the boundary. This edited volume explores such political struggles for the future reflected in the TRCK's work on the past war that is still present. This book was published as a special issue of Critical Asian Studies.

#1 Best Selling Information Security Book by Taylor & Francis in 2019, 2020 and 2021 2020 Cybersecurity CANON Hall of Fame Winner Todd Fitzgerald, co-author of the ground-breaking (ISC)2 CISO Leadership: Essential Principles for Success, Information Security Governance Simplified: From the Boardroom to the Keyboard, co-author for the E-C Council CISO Body of Knowledge, and contributor to many others including Official (ISC)2 Guide to the CISSP CBK, COBIT 5 for Information Security, and ISACA CSX Cybersecurity Fundamental Certification, is back with this new book incorporating practical experience in leading, building, and sustaining an information security/cybersecurity program. CISO COMPASS includes personal, pragmatic perspectives and lessons learned of over 75 award-winning CISOs, security leaders, professional association leaders, and cybersecurity standard setters who have fought the tough battle. Todd has also, for the first time, adapted the McKinsey 7S framework (strategy, structure, systems, shared values, staff, skills and style) for organizational effectiveness to the practice of leading cybersecurity to structure the content to ensure comprehensive coverage by the CISO and security leaders to key issues impacting the delivery of the cybersecurity strategy and demonstrate to the Board of Directors due diligence. The insights will assist the security leader to create programs appreciated and supported by the organization, capable of industry/ peer award-winning recognition, enhance cybersecurity maturity, gain confidence by senior management, and avoid pitfalls. The book is a comprehensive, soup-to-nuts book enabling security leaders to effectively protect information assets and build award-winning programs by covering topics such as developing cybersecurity strategy, emerging trends and technologies, cybersecurity organization structure and reporting models, leveraging current incidents, security control frameworks, risk management, laws and regulations, data protection and privacy, meaningful policies and procedures, multi-generational workforce team dynamics, soft skills, and communicating with the Board of Directors and executive management. The book is valuable to current and future security leaders as a valuable resource and an integral part of any college program for information/ cybersecurity.

Discover an up-to-date and authoritative exploration of Python cybersecurity strategies Python For Cybersecurity: Using Python for Cyber Offense and Defense delivers an intuitive and hands-on explanation of using Python for cybersecurity. It relies on the MITRE ATT&CK framework to structure its exploration of cyberattack techniques, attack defenses, and the key cybersecurity challenges facing network administrators and other stakeholders today. Offering downloadable sample code, the book is written to help you discover how to use Python in a wide variety of cybersecurity situations, including: Reconnaissance, resource development, initial access, and execution Persistence, privilege escalation, defense evasion, and credential access Discovery, lateral movement, collection, and command and control Exfiltration and impact Each chapter includes discussions of several techniques and sub-techniques that could be used to achieve an attacker's objectives in any of these use cases. The ideal resource for anyone with a professional or personal interest in cybersecurity, Python For Cybersecurity offers in-depth information about a wide variety of attacks and effective, Python-based defenses against them.

The richly illustrated Interactive Web-Based Data Visualization with R, plotly, and shiny focuses on the process of programming interactive web graphics for multidimensional data analysis. It is written for the data analyst who wants to leverage the capabilities of interactive web graphics without having to learn web programming. Through many R code examples, you will learn how to tap the extensive functionality of these tools to enhance the presentation and exploration of data. By mastering these concepts and tools, you will impress your colleagues with your ability to quickly generate more informative, engaging, and reproducible interactive graphics using free and open source software that you can share over email, export to pdf, and more. Key Features: Convert static ggplot2 graphics to an interactive web-based form Link, animate, and arrange multiple plots in standalone HTML from R Embed, modify, and respond to plotly graphics in a shiny app Learn best practices for visualizing continuous, discrete, and multivariate data Learn numerous ways to visualize geo-spatial data This book makes heavy use of plotly for graphical rendering, but you will also learn about other R packages that support different phases of a data science workflow, such as tidyr, dplyr, and tidyverse. Along the way, you will gain insight into best practices for visualization of high-dimensional data, statistical graphics, and graphical perception. The printed book is complemented by an interactive website where readers can view movies demonstrating the examples and interact with graphics.

Originally published in 1985 this book looks at the way in which some businesses in high technology manufacturing industry have organised their structures and processes in order to manage product innovation effectively. Including detailed case studies of both British and American companies, the book gives examples of both effective and less effective practices. The author puts forward a general framework of good practice for the benefit of both practitioners and business studies students.

Harness the power of Apple iOS machine learning (ML) capabilities and learn the concepts and techniques necessary to be a successful Apple iOS machine learning practitioner! Machine earning (ML) is the science of getting computers to act without being explicitly programmed. A branch of Artificial Intelligence (AI), machine learning techniques offer ways to identify trends, forecast behavior, and make recommendations. The Apple iOS Software Development Kit (SDK) allows developers to integrate ML services, such as speech recognition and language translation, into mobile devices, most of which can be used in multi-cloud settings. Focusing on Apple's ML services, Machine Learning for iOS Developers is an up-to-date introduction to the field, instructing readers to implement machine learning in iOS applications. Assuming no prior experience with machine learning, this reader-friendly guide offers expert instruction and practical examples of ML integration in iOS. Organized into two sections, the book's clearly-written chapters first cover fundamental ML concepts, the different types of ML systems, their practical uses, and the potential challenges of ML solutions. The second section teaches readers to use models--both pre-trained and user-built--with Apple's CoreML framework. Source code examples are provided for readers to download and use in their own projects. This book helps readers: Understand the theoretical concepts and practical applications of machine learning used in predictive data analytics Build, deploy, and maintain ML systems for tasks such as model validation, optimization, scalability, and real-time streaming Develop skills in data acquisition and modeling, classification, and regression. Compare traditional vs. ML approaches, and machine learning on handsets vs. machine learning as a service (MLaaS) Implement decision tree based models, an instance-based machine learning system, and integrate Scikit-learn & Keras models with CoreML Machine Learning for iOS Developers is a must-have resource software engineers and mobile solutions architects wishing to learn ML concepts and implement machine learning on iOS Apps.

Big Data, gathered together and re-analysed, can be used to form endless variations of our persons - so-called 'data doubles'. Whilst never a precise portrayal of who we are, they unarguably contain glimpses of details about us that, when deployed into various routines (such as management, policing and advertising) can affect us in many ways. How are we to deal with Big Data? When is it beneficial to us? When is it harmful? How might we regulate it? Offering careful and critical analyses, this timely volume aims to broaden well-informed, unprejudiced discourse, focusing on: the tenets of Big Data, the politics of governance and regulation; and Big Data practices, performance and resistance. An interdisciplinary volume, The Politics of Big Data will appeal to undergraduate and postgraduate students, as well as postdoctoral and senior researchers interested in fields such as Technology, Politics and Surveillance.

When this book was originally published in 1988, this book was the first to include a large number of reports on British and US companies' experience with computers in company training in such areas as banking, finance, insurance, manufacturing, IT, the retail industry, transport, telecommunications and energy. It provided a critical analysis of the situation and discusses company experiences, development, testing and implementation as well as cost-effectiveness and future trends.

When this book was first published in 1973 there had been little study of the relationships between the organizational structures of public bodies and their use of information technology. This volume was therefore one of the first to describe how such strcures determine computer use, and how technology in turn influence the services provided. It also discusses the changes that computerization brought about in staffing structures and in the role of the specialist, analyses the ways in which they have modified human resource policies and practices and surveys signifcant trends in the employment and career development of IT staff.

A rapidly growing number of services and applications along with a dramatic shift in users' consumption models have made media networks an area of increasing importance. Do you know all that you need to know? Supplying you with a clear understanding of the technical and deployment challenges, Media Networks: Architectures, Applications, and Standards covers media networks basics, architectures, protocols, standards, specifications, advanced audiovisual and multimedia services, and future directions. Focusing on video and audio-visual services, it provides wide-scale reference on media networks and the audiovisual domain. The book investigates the different network architectures along with their related protocols and standards. It examines the different digital TV technologies as well as their deployment architectures. Illustrating the role of network operators, service providers, content providers, and manufacturers, this timely reference is divided into three parts: Presents digital TV technologies, including Open IPTV, Mobile TV, 3D video, and content delivery networks Covers media content delivery and quality of experience (QoE) Examines user-centricity and immersive technologies that take into account advanced services personalization, immersive technologies architectures and applications, e-health, and societal challenges The book considers emerging media content delivery architectures including Future Internet, CDN (Content Delivery Networks) architectures and Content Centric Networks (CCN) approaches, while examining the technical challenges and standardization efforts related to such issues. It presents the Quality of Experience (QoE) in Future Internet/ Next Generation Mobile Networks and also covers the management of media (audio/video) information in Future Internet, including transport protocols and compression technologies. The book concludes by describing pressing s