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Unauthorized Access: The Crisis in Online Privacy and Security
by Richard Warner Robert SloanGoing beyond current books on privacy and security, Unauthorized Access: The Crisis in Online Privacy and Security proposes specific solutions to public policy issues pertaining to online privacy and security. Requiring no technical or legal expertise, the book explains complicated concepts in clear, straightforward language.The authors-two renowne
Unauthorized Access: The Crisis in Online Privacy and Security
by Richard Warner Robert SloanGoing beyond current books on privacy and security, this book proposes specific solutions to public policy issues pertaining to online privacy and security. Requiring no technical or legal expertise, it provides a practical framework to address ethical and legal issues. The authors explore the well-established connection between social norms, privacy, security, and technological structure. They also discuss how rapid technological developments have created novel situations that lack relevant norms and present ways to develop these norms for protecting informational privacy and ensuring sufficient information security.
Unbemannte Luftfahrtsysteme: Zivile Drohnen im Spannungsfeld von Wirtschaft, Recht, Sicherheit und gesellschaftlicher Akzeptanz
by Andreas Del Re Norbert Kämper Andreas Schoch Philipp ScheeleDrohnen sind längst von einer vielversprechenden Zukunftstechnologie zu einer etablierten Größe am Himmel geworden. Durch die zunehmenden Möglichkeiten ziviler Nutzung nimmt ihre Präsenz dabei immer noch zu, wodurch Fragen aufgeworfen werden, die schon heute beantwortet werden müssen. Neben den obligatorischen rechtlichen Fragen geht es dabei auch um den gesellschaftlichen Einfluss, den neue Technologie seit je her mit sich bringen. Welche rechtlichen Rahmenbedingungen sind nötig, wenn immer mehr Drohnen sich den Luftraum mit anderen Luftverkehrsteilnehmern teilen? Wie ist es um die Sicherheit, auch IT-Sicherheit bestellt, wenn zunehmend Drohnen über der Bevölkerung schweben? Welche ethischen Herausforderungen bringen unbemannte Systeme mit sich, die zunehmend autonom operieren? All jenen Fragen widmen sich die Autoren dieses Sammelbandes und schaffen so neue Zugänge und Perspektiven auf das Zukunftsthema der Unbemannten Luftfahrtsysteme.
UnBlock the Blockchain
by Nitin UpadhyayThis book presents a state-of-the-art overview of blockchains, a significant innovation that has already started to redesign business, social and political interactions. The technology is attracting considerable interest among researchers in industry and academia wanting to study and leverage the potential of blockchains to provide a decentralized and distributed public ledger for all the participating parties.Comprehensively discussing the current and future challenges, opportunities, applications, business models and values, the book appeals to diverse stakeholders, scholars, practitioners and business leaders interested in blockchains.
Unboxing Android USB: A hands on approach with real world examples
by Rajaram RegupathyUnboxing Android USB focuses on apps that use USB. This book covers everything starting from simple tasks like managing media with USB to complex tasks like Android ADB and developing application which exploit the potential of USB framework.With use cases that help developers build real world apps in real-time utilizing the advanced features of USB framework Unboxing Android USB tries to cover every single aspect of the app development cycle in totality. Unboxing Android USB helps you learn newly introduced android open accessory protocol with unique examples such as using USB Keyboard with Android device without USB host mode enabled and switching from MTP to MSC. The book is organized based on the USB functions, with each chapter explaining different USB classes available in Android. The functionalities are explained by starting from the USB specification followed by block diagrams that explain different blocks available in that USB class, followed by sequence diagram that elucidates flow of control and data. Each chapter has a unique sample Android application that uses the particular USB function.
UnBranding: 100 Branding Lessons for the Age of Disruption
by Scott Stratten Alison StrattenUnBranding breaks through the noise of disruption. We live in a transformative time. The digital age has given us unlimited access to information and affected all our traditional business relationships – from how we hire and manage, to how we communicate with our current and would-be customers. Innovation continues to create opportunities for emerging products and services we never thought possible. With all the excitement of our time, comes confusion and fear for many businesses. Change can be daunting, and never have we lived in a time where change came so quickly. This is the age of disruption – it's fast-paced, far-reaching and is forever changing how we operate, create, connect, and market. It's easy to see why brand heads are spinning. Businesses are suffering from 'the next big thing' and we're here to help you find the cure. UnBranding is about focus – it's about seeing that within these new strategies, technologies and frameworks fighting for our attention, lay the tried and true tenants of good business – because innovation is nothing but a bright and shiny new toy, unless it actually works. UnBranding is here to remind you that you can't fix rude staff, mediocre products and a poor brand reputation with a fancy new app. We are going to learn from 100 branding stories that will challenge your assumptions about business today and teach valuable, actionable lessons. It's not about going backwards, it's about moving forward with purpose, getting back to the core of good branding while continuing to innovate and improve without leaving your values behind. Some topics will include: Growing and maintaining your brand voice through the noise How to focus on the right tools for your business, for the right reasons Maintaining trust, consistency and connection through customer service and community The most important question to ask yourself before innovation The importance of personal branding in the digital age How to successful navigate feedback and reviews It's time for a reality check. It's time to solve problems, create connections, and provide value rather than rush strategy just to make headlines. UnBranding gives you the guidance you need to navigate the age of disruption and succeed in business today.
UnBranding: 100 Branding Lessons for the Age of Disruption
by Scott Stratten Alison StrattenUnBranding breaks through the noise of disruption. We live in a transformative time. The digital age has given us unlimited access to information and affected all our traditional business relationships – from how we hire and manage, to how we communicate with our current and would-be customers. Innovation continues to create opportunities for emerging products and services we never thought possible. With all the excitement of our time, comes confusion and fear for many businesses. Change can be daunting, and never have we lived in a time where change came so quickly. This is the age of disruption – it's fast-paced, far-reaching and is forever changing how we operate, create, connect, and market. It's easy to see why brand heads are spinning. Businesses are suffering from 'the next big thing' and we're here to help you find the cure. UnBranding is about focus – it's about seeing that within these new strategies, technologies and frameworks fighting for our attention, lay the tried and true tenants of good business – because innovation is nothing but a bright and shiny new toy, unless it actually works. UnBranding is here to remind you that you can't fix rude staff, mediocre products and a poor brand reputation with a fancy new app. We are going to learn from 100 branding stories that will challenge your assumptions about business today and teach valuable, actionable lessons. It's not about going backwards, it's about moving forward with purpose, getting back to the core of good branding while continuing to innovate and improve without leaving your values behind. Some topics will include: Growing and maintaining your brand voice through the noise How to focus on the right tools for your business, for the right reasons Maintaining trust, consistency and connection through customer service and community The most important question to ask yourself before innovation The importance of personal branding in the digital age How to successful navigate feedback and reviews It's time for a reality check. It's time to solve problems, create connections, and provide value rather than rush strategy just to make headlines. UnBranding gives you the guidance you need to navigate the age of disruption and succeed in business today.
Unbundling the University Curriculum: MOOCs, Online Program Management and the Knowledge Question (Rethinking Higher Education)
by Kate O'ConnorIn a context in which explicit attention to the curriculum has been sidelined in universities’ strategy, this book makes an argument for why curriculum matters, both in understanding the effects of unbundled online learning and more broadly. It takes up two particular curriculum issues which are amplified in an unbundled context: differences in the formulation of curriculum between disciplines and professional fields, and the extent these are recognised in university strategy; and the push for constructivist pedagogies, and its effects on curriculum construction. Since the onslaught of MOOCs in 2012, unbundled forms of online learning offered via partnerships with external online program management and MOOC providers have grown significantly across the university sector. There has been much debate about the implications of these partnerships but the focus has predominantly been on the engagement of students and their learning. This book takes a different and novel approach, looking instead at the effects on curriculum and knowledge.Drawing on selected case studies, the book reflects on how university leaders and academics engaged with MOOCs and other forms of unbundled online learning in the early 2010s, and the effects of these reforms on curriculum practice. It captures in detail the complex and difficult work involved in university curriculum making in a way rarely seen in discussions of higher education. And it generates new in-sights about some of the critical problems manifest in the ongoing moves to embrace unbundled online learning today.
Uncanny Valley: A Memoir
by Anna Wiener‘Joan Didion at a startup’ Rebecca Solnit ‘I've never read anything like Uncanny Valley ’ Jia Tolentino ‘This is essential reading’ Stylist
The Uncanny Valley in Games and Animation
by Angela TinwellAdvances in technology have enabled animators and video game designers to design increasingly realistic, human-like characters in animation and games. Although it was intended that this increased realism would allow viewers to appreciate the emotional state of characters, research has shown that audiences often have a negative reaction as the human
Uncertain Differential Equations (Springer Uncertainty Research)
by Kai YaoThis book introduces readers to the basic concepts of and latest findings in the area of differential equations with uncertain factors. It covers the analytic method and numerical method for solving uncertain differential equations, as well as their applications in the field of finance. Furthermore, the book provides a number of new potential research directions for uncertain differential equation. It will be of interest to researchers, engineers and students in the fields of mathematics, information science, operations research, industrial engineering, computer science, artificial intelligence, automation, economics, and management science.
The Uncertain Digital Revolution
by André VitalisDigital information and communication technologies can be seen as a threat to privacy, a step forward for freedom of expression and communication, a tool in the fight against terrorism or the source of a new economic wealth. Computerization has unexpectedly progressed beyond our imagination, from a tool of management and control into one of widespread communication and expression. This book revisits the major questions that have emerged with the progress of computerization over nearly half a century, by describing the context in which these issues were formulated. By taking a social and digital approach, the author explores controversial issues surrounding the development of this "digital revolution", including freedom and privacy of the individual, social control, surveillance, public security and the economic exploitation of personal data. From students, teachers and researchers engaged in data analysis, to institutional decision-makers and actors in policy or business, all members of today's digital society will take from this book a better understanding of the essential issues of the current "digital revolution".
The Uncertain Digital Revolution
by André VitalisDigital information and communication technologies can be seen as a threat to privacy, a step forward for freedom of expression and communication, a tool in the fight against terrorism or the source of a new economic wealth. Computerization has unexpectedly progressed beyond our imagination, from a tool of management and control into one of widespread communication and expression. This book revisits the major questions that have emerged with the progress of computerization over nearly half a century, by describing the context in which these issues were formulated. By taking a social and digital approach, the author explores controversial issues surrounding the development of this "digital revolution", including freedom and privacy of the individual, social control, surveillance, public security and the economic exploitation of personal data. From students, teachers and researchers engaged in data analysis, to institutional decision-makers and actors in policy or business, all members of today's digital society will take from this book a better understanding of the essential issues of the current "digital revolution".
Uncertain Fuzzy Preference Relations and Their Applications (Studies in Fuzziness and Soft Computing #281)
by Zaiwu Gong Yi Lin Tianxiang YaoOn the basis of fuzzy sets and some of their relevant generalizations, this book systematically presents the fundamental principles and applications of group decision making under different scenarios of preference relations. By using intuitionistic knowledge as the field of discourse, this work investigates by utilizing innovative research means the fundamental principles and methods of group decision making with various different intuitionistic preferences: Mathematical reasoning is employed to study the consistency of group decision making; Methods of fusing information are applied to look at the aggregation of multiple preferences; Techniques of soft computing and optimization are utilized to search for satisfactory decision alternatives. Each chapter follows the following structurally clear format of presentation: literature review, development of basic theory, verification and reasoning of principles , construction of models and computational schemes, and numerical examples, which cover such areas as technology, enterprise competitiveness, selection of airlines, experts decision making in weather-sensitive enterprises, etc. In terms of theoretical principles, this book can be used as a reference for researchers in the areas of management science, information science, systems engineering, operations research, and other relevant fields. It can also be employed as textbook for upper level undergraduate students and graduate students. In terms of applications, this book will be a good companion for all those decision makers in government, business, and technology areas.
Uncertain Information and Linear Systems (Studies in Systems, Decision and Control #254)
by Tofigh AllahviranlooThis book identifies the important uncertainties to use in real-world problem modeling. Having information about several types of ambiguities, vagueness, and uncertainties is vital in modeling problems that involve linguistic variables, parameters, and word computing. Today, since most of our real-world problems are related to decision-making at the right time, we need to apply intelligent decision science. Clearly, in order to have an appropriate and flexible mathematical model, every intelligent system requires real data on our environment. Presenting problems that can be represented using mathematical models to create a system of linear equations, this book discusses the latest insights into uncertain information.
Uncertain Optimal Control (Springer Uncertainty Research)
by Yuanguo ZhuThis book introduces the theory and applications of uncertain optimal control, and establishes two types of models including expected value uncertain optimal control and optimistic value uncertain optimal control. These models, which have continuous-time forms and discrete-time forms, make use of dynamic programming. The uncertain optimal control theory relates to equations of optimality, uncertain bang-bang optimal control, optimal control with switched uncertain system, and optimal control for uncertain system with time-delay. Uncertain optimal control has applications in portfolio selection, engineering, and games. The book is a useful resource for researchers, engineers, and students in the fields of mathematics, cybernetics, operations research, industrial engineering, artificial intelligence, economics, and management science.
Uncertain Projective Geometry: Statistical Reasoning for Polyhedral Object Reconstruction (Lecture Notes in Computer Science #3008)
by Stephan HeuelAlgebraic projective geometry, with its multilinear relations and its embedding into Grassmann-Cayley algebra, has become the basic representation of multiple view geometry, resulting in deep insights into the algebraic structure of geometric relations, as well as in efficient and versatile algorithms for computer vision and image analysis. This book provides a coherent integration of algebraic projective geometry and spatial reasoning under uncertainty with applications in computer vision. Beyond systematically introducing the theoretical foundations from geometry and statistics and clear rules for performing geometric reasoning under uncertainty, the author provides a collection of detailed algorithms. The book addresses researchers and advanced students interested in algebraic projective geometry for image analysis, in statistical representation of objects and transformations, or in generic tools for testing and estimating within the context of geometric multiple-view analysis.
Uncertain Renewal Processes (Springer Uncertainty Research)
by Kai YaoThis book explores various renewal processes in the context of probability theory, uncertainty theory and chance theory. It also covers the applications of these renewal processes in maintenance models and insurance risk models. The methods used to derive the limit of the renewal rate, the reward rate, and the availability rate are of particular interest, as they can easily be extended to the derivation of other models. Its comprehensive and systematic treatment of renewal processes, renewal reward processes and the alternating renewal process is one of the book’s major features, making it particularly valuable for readers who are interested in learning about renewal theory. Given its scope, the book will benefit researchers, engineers, and graduate students in the fields of mathematics, information science, operations research, industrial engineering, etc.
Uncertain Rule-Based Fuzzy Systems: Introduction and New Directions, 2nd Edition
by Jerry M. MendelThe second edition of this textbook provides a fully updated approach to fuzzy sets and systems that can model uncertainty — i.e., “type-2” fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems, enabling a wide range of applications from time-series forecasting to knowledge mining to control. In this new edition, a bottom-up approach is presented that begins by introducing classical (type-1) fuzzy sets and systems, and then explains how they can be modified to handle uncertainty. The author covers fuzzy rule-based systems – from type-1 to interval type-2 to general type-2 – in one volume. For hands-on experience, the book provides information on accessing MatLab and Java software to complement the content. The book features a full suite of classroom material.
Uncertain Schema Matching (Synthesis Lectures on Data Management)
by Avigdor GalSchema matching is the task of providing correspondences between concepts describing the meaning of data in various heterogeneous, distributed data sources. Schema matching is one of the basic operations required by the process of data and schema integration, and thus has a great effect on its outcomes, whether these involve targeted content delivery, view integration, database integration, query rewriting over heterogeneous sources, duplicate data elimination, or automatic streamlining of workflow activities that involve heterogeneous data sources. Although schema matching research has been ongoing for over 25 years, more recently a realization has emerged that schema matchers are inherently uncertain. Since 2003, work on the uncertainty in schema matching has picked up, along with research on uncertainty in other areas of data management. This lecture presents various aspects of uncertainty in schema matching within a single unified framework. We introduce basic formulations of uncertainty and provide several alternative representations of schema matching uncertainty. Then, we cover two common methods that have been proposed to deal with uncertainty in schema matching, namely ensembles, and top-K matchings, and analyze them in this context. We conclude with a set of real-world applications. Table of Contents: Introduction / Models of Uncertainty / Modeling Uncertain Schema Matching / Schema Matcher Ensembles / Top-K Schema Matchings / Applications / Conclusions and Future Work
Uncertainties and Limitations in Simulating Tropical Cyclones (Springer Theses)
by Asuka Suzuki-ParkerThe thesis work was in two major parts: development and testing of a new approach to detecting and tracking tropical cyclones in climate models; and application of an extreme value statistical approach to enable assessment of changes in weather extremes from climate models. The tracking algorithm applied a creative phase-space approach to differentiate between modeled tropical cyclones and their mid-latitude cousins. A feature here was the careful attention to sensitivity to choice of selection parameters, which is considerable. The major finding was that the changes over time were relatively insensitive to these details. This new approach will improve and add confidence to future assessments of climate impacts on hurricanes. The extremes approach utilized the Generalized Pareto Distribution (one of the standard approaches to statistics of extremes) applied to present and future hurricane distributions as modeled by a regional climate model, then applied the changes to current observations to extract the changes in the extremes. Since climate models cannot resolve these extremes directly, this provides an excellent method of determining weather extremes in general. This is of considerable societal importance as we are most vulnerable to such extremes and knowledge of their changes enables improved planning and adaptation strategies.
Uncertainty Analyses in Environmental Sciences and Hydrogeology: Methods and Applications to Subsurface Contamination (SpringerBriefs in Applied Sciences and Technology)
by Rachid Ababou Juliette Chastanet Jean-Marie Côme Manuel Marcoux Michel QuintardThis book highlights several methods and quantitative implementations of both probabilistic and fuzzy-based approaches to uncertainty quantification and uncertainty propagation through environmental subsurface pollution models with uncertain input parameters. The book focuses on methods as well as applications in hydrogeology, soil hydrology, groundwater contamination, and related areas (e.g., corrosion of nuclear waste canisters). The methods are illustrated for a broad spectrum of models, from non-differential I/O models to complex PDE solvers, including a novel 3D quasi-analytical model of contaminant transport, and a site-specific computer model of dissolved contaminant migration from a DNAPL (Dense Non Aqueous Phase Liquid) pollution source.
Uncertainty Analysis in Econometrics with Applications (Advances in Intelligent Systems and Computing)
by Van-Nam Huynh Vladik Kreinovich Songsak Sriboonchitta Komsan SuriyaUnlike uncertain dynamical systems in physical sciences where models for prediction are somewhat given to us by physical laws, uncertain dynamical systems in economics need statistical models. In this context, modeling and optimization surface as basic ingredients for fruitful applications. This volume concentrates on the current methodology of copulas and maximum entropy optimization.This volume contains main research presentations at the Sixth International Conference of the Thailand Econometrics Society held at the Faculty of Economics, Chiang Mai University, Thailand, during January 10-11, 2013. It consists of keynote addresses, theoretical and applied contributions. These contributions to Econometrics are somewhat centered around the theme of Copulas and Maximum Entropy Econometrics. The method of copulas is applied to a variety of economic problems where multivariate model building and correlation analysis are needed. As for the art of choosing copulas in practical problems, the principle of maximum entropy surfaces as a potential way to do so. The state-of-the-art of Maximum Entropy Econometrics is presented in the first keynote address, while the second keynote address focusses on testing stationarity in economic time series data.
Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach (International Series in Intelligent Technologies #11)
by Bilal Ayyub Madan M. GuptaUncertainty has been of concern to engineers, managers and . scientists for many centuries. In management sciences there have existed definitions of uncertainty in a rather narrow sense since the beginning of this century. In engineering and uncertainty has for a long time been considered as in sciences, however, synonymous with random, stochastic, statistic, or probabilistic. Only since the early sixties views on uncertainty have ~ecome more heterogeneous and more tools to model uncertainty than statistics have been proposed by several scientists. The problem of modeling uncertainty adequately has become more important the more complex systems have become, the faster the scientific and engineering world develops, and the more important, but also more difficult, forecasting of future states of systems have become. The first question one should probably ask is whether uncertainty is a phenomenon, a feature of real world systems, a state of mind or a label for a situation in which a human being wants to make statements about phenomena, i. e. , reality, models, and theories, respectively. One cart also ask whether uncertainty is an objective fact or just a subjective impression which is closely related to individual persons. Whether uncertainty is an objective feature of physical real systems seems to be a philosophical question. This shall not be answered in this volume.
The Uncertainty Analysis of Model Results: A Practical Guide
by Eduard HoferThis book is a practical guide to the uncertainty analysis of computer model applications. Used in many areas, such as engineering, ecology and economics, computer models are subject to various uncertainties at the level of model formulations, parameter values and input data. Naturally, it would be advantageous to know the combined effect of these uncertainties on the model results as well as whether the state of knowledge should be improved in order to reduce the uncertainty of the results most effectively. The book supports decision-makers, model developers and users in their argumentation for an uncertainty analysis and assists them in the interpretation of the analysis results.