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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.
Unblocked: How Blockchains Will Change Your Business (and What to Do About It)
by Alison McCauleyUnderstand the Blockchain Opportunity: No Technical Background Required. Remember thedawn of the internet? The advent of mobile and social media? Yet another digital revolution is nowunderway. Like its predecessors, blockchains are about to transform the way we live, work, and play,while disrupting entrenched industries and shattering conventional business models.Move past the hype and equip yourself to forecast how blockchains will change our world and impactyou and your business. Author Alison McCauley helps non-technical executives to understandhow this technology will trigger change, shift the balance of power, and bring competitiveadvantage to those who know how to leverage them.Unblocked explains:Why ignoring this technology exposes you to competitive disruptionWhat this new technology revolution embraces—no technical background requiredHow to prepare your organization to respond to the coming shift
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.
The Uncanny Muse: Music, Art, and Machines from Automata to AI
by null David HajduAn acclaimed critic, journalist, and songwriter-musician tells the story of art’s relation to machines, from the Baroque period to the age of AI. What does it mean to be human in a world where machines, too, can be artists? The Uncanny Muse explores the history of automation in the arts and delves into one of the most momentous and controversial aspects of AI: artificial creativity. The adoption of technology and machinery has long transformed the world, but as the potential for artificial intelligence expands, David Hajdu examines the new, increasingly urgent questions about technology’s role in culture. From the life-size mechanical doll that made headlines in Victorian London to the doll’s modern AI–pop star counterpart, Hajdu traces the fascinating, varied ways in which inventors and artists have sought to emulate mental processes and mechanize creative production. For decades, machines and artists have engaged in expressing the human condition—along with the condition of living with machines—through player pianos, broadcasting technology, electric organs, digital movie effects, synthesizers, and motion capture. By communicating and informing human knowledge, the machines have exerted considerable influence on the history of art—and often more influence than humans have been willing to recognize. As Hajdu proclaims: “before machine learning, there was machine teaching.” With thoughtful, wide-ranging, and surprising turns from Berry Gordy and George Harrison to Andy Warhol and Stevie Wonder, David Hajdu takes a novel and contrarian approach: he sees how machines through the ages have enabled creativity, not stifled it—and The Uncanny Muse sees no reason why this shouldn’t be the case with AI today.
Uncanny Networks: Dialogues With the Virtual Intelligentsia
by Geert LovinkFor Geert Lovink, interviews are imaginative texts that can help create global, networked discourses not only among different professions but also among different cultures and social groups. Conducting interviews online, over a period of weeks or months, allows the participants to compose documents of depth and breadth, rather than simply snapshots of timely references.
Uncanny Valley: A Memoir
by Anna WienerThe prescient, page-turning account of a journey in Silicon Valley: a defining memoir of our digital age <P><P>In her mid-twenties, at the height of tech industry idealism, Anna Wiener—stuck, broke, and looking for meaning in her work, like any good millennial--left a job in book publishing for the promise of the new digital economy. She moved from New York to San Francisco, where she landed at a big-data startup in the heart of the Silicon Valley bubble: a world of surreal extravagance, dubious success, and fresh-faced entrepreneurs hell-bent on domination, glory, and, of course, progress. <P><P>Anna arrived amidst a massive cultural shift, as the tech industry rapidly transformed into a locus of wealth and power rivaling Wall Street. But amid the company ski vacations and in-office speakeasies, boyish camaraderie and ride-or-die corporate fealty, a new Silicon Valley began to emerge: one in far over its head, one that enriched itself at the expense of the idyllic future it claimed to be building. Part coming-of-age-story, part portrait of an already-bygone era, Anna Wiener’s memoir is a rare first-person glimpse into high-flying, reckless startup culture at a time of unchecked ambition, unregulated surveillance, wild fortune, and accelerating political power. With wit, candor, and heart, Anna deftly charts the tech industry’s shift from self-appointed world savior to democracy-endangering liability, alongside a personal narrative of aspiration, ambivalence, and disillusionment. <P><P>Unsparing and incisive, Uncanny Valley is a cautionary tale, and a revelatory interrogation of a world reckoning with consequences its unwitting designers are only beginning to understand.
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 Archives: Critical Keywords for Big Data
by Nanna Bonde Thylstrup Daniela Agostinho Annie Ring Catherine D'Ignazio Kristin VeelScholars from a range of disciplines interrogate terms relevant to critical studies of big data, from abuse and aggregate to visualization and vulnerability.This pathbreaking work offers an interdisciplinary perspective on big data, interrogating key terms. Scholars from a range of disciplines interrogate concepts relevant to critical studies of big data--arranged glossary style, from from abuse and aggregate to visualization and vulnerability--both challenging conventional usage of such often-used terms as prediction and objectivity and introducing such unfamiliar ones as overfitting and copynorm. The contributors include both leading researchers, including N. Katherine Hayles, Johanna Drucker and Lisa Gitelman, and such emerging agenda-setting scholars as Safiya Noble, Sarah T. Roberts and Nicole Starosielski.
Uncertain Data Envelopment Analysis
by Meilin WenThis book is intended to present the milestones in the progression of uncertain Data envelopment analysis (DEA). Chapter 1 gives some basic introduction to uncertain theories, including probability theory, credibility theory, uncertainty theory and chance theory. Chapter 2 presents a comprehensive review and discussion of basic DEA models. The stochastic DEA is introduced in Chapter 3, in which the inputs and outputs are assumed to be random variables. To obtain the probability distribution of a random variable, a lot of samples are needed to apply the statistics inference approach. Chapter 4 and 5 provide two uncertain DEA methods to evaluate the DMUs with limited or insufficient statistical data, named fuzzy DEA and uncertain DEA. In order to evaluate the DMUs in which uncertainty and randomness appear simultaneously, the hybrid DEA based on chance theory is presented in Chapter 6.
The Uncertain Digital Revolution
by André VitalisDigital information and communication technologies are 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. This book revisits the major issues that have emerged with the progress of computerization by describing the context, finding the terms in which these issues were formulated and to mobilize the theoretical grids for a better understanding. It reflects on the various questions asked regarding the freedoms of individual. Between individualism and reinforced pervasive control, it allows a better understanding of the essential issues of the current "digital revolution".
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 Ser.)
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 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.
The Uncertain Web: Web Development in a Changing Landscape
by Rob LarsenWhat’s the best way to develop for a Web gone wild? That’s easy. Simply scrap the rules you’ve relied on all these years and embrace uncertainty as a core tenet of design. In this practical book, veteran developer Rob Larsen outlines the principles out what he calls The Uncertain Web, and shows you techniques necessary to successfully make the transition.By combining web standards, progressive enhancement, an iterative approach to design and development, and a desire to question the status quo, your team can create sites and applications that will perform well in a wide range of present and future devices. This guide points the way.Topics include:Navigating thousands of browser/device/OS combinationsFocusing on optimal, not absolute solutionsFeature detection, Modernizr, and polyfillsRWD, mobile first, and progressive enhancementUIs that work with multiple user input modesImage optimization, SVG, and server-side optionsThe horribly complex world of web videoThe Web we want to see in the future
Uncertainties and Limitations in Simulating Tropical Cyclones
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
by M. Granger Morgan Max HenrionThis volume, like its predecessors, reflects the cutting edge of research on the automation of reasoning under uncertainty. A more pragmatic emphasis is evident, for although some papers address fundamental issues, the majority address practical issues. Topics include the relations between alternative formalisms (including possibilistic reasoning), Dempster-Shafer belief functions, non-monotonic reasoning, Bayesian and decision theoretic schemes, and new inference techniques for belief nets. New techniques are applied to important problems in medicine, vision, robotics, and natural language understanding.
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.
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.
Uncertainty and Artificial Intelligence: Additive Manufacturing, Vibratory Control, Agro-composite, Mechatronics
by Abdelkhalak El HamiToday's information technology, along with Artificial Intelligence (AI), is moving towards total communication between all computerized systems. AI is a representation of human intelligence based on the creation and application of algorithms in specific computer environments. Its aim is to enable computers to act like human beings. For it to work, this type of technology requires computer systems, data with management systems and advanced algorithms, used by AI. In mechanical engineering, AI can offer many possibilities: in mechanical construction, predictive maintenance, plant monitoring, robotics, additive manufacturing, materials, vibration control and agro composites, among many others. This book is dedicated to Artificial Intelligence uncertainties in mechanical problems. Each chapter clearly sets out used and developed illustrative examples. Aimed at students, Uncertainty and Artificial Intelligence is also a valuable resource for practicing engineers and research lecturers.
Uncertainty and Imprecision in Decision Making and Decision Support: Selected Papers from BOS-2018, held on September 24-26, 2018, and IWIFSGN-2018, held on September 27-28, 2018 in Warsaw, Poland (Advances in Intelligent Systems and Computing #1081)
by Krassimir T. Atanassov Vassia Atanassova Janusz Kacprzyk Andrzej Kaluszko Maciej Krawczak Jan W. Owsinski Sotir Sotirov Evdokia Sotirova Eulalia Szmidt Slawomir ZadroznyThis book gathers selected papers from two important conferences held on October 24–28, 2018, in Warsaw, Poland: theFifteenth National Conference of Operational and Systems Research, BOS-2018, one of the leading conferences in the field of operational and systems research not only in Poland but also at the European level; andthe Seventeenth International Workshop on Intuitionistic Fuzzy Sets and General Nets, IWIFSGN-2018, one of thepremiere conferences on fuzzy logic.The papers presented here constitute a fair and comprehensive representation of the topics covered by both BOS-2018 and IWIFSGN-2018, includingextensions of the traditional fuzzy sets, in particular on the intuitionistic fuzzy sets, as well as other topics in uncertainty and imprecision modeling, the Generalized Nets (GNs), a powerful extension of the traditional Petri net paradigm, and InterCriteria Analysis, a new method for feature selection and analyses in multicriteria and multi-attribute decision-making problems. The Workshop was dedicated to the memory of Professor Beloslav Riečan (1936–2018), a regular participant at the IWIFSGN workshops.
Uncertainty and Imprecision in Decision Making and Decision Support: Selected papers from BOS-2020, held on December 14-15, 2020, and IWIFSGN-2020, held on December 10-11, 2020 in Warsaw, Poland (Lecture Notes in Networks and Systems #338)
by Krassimir T. Atanassov Vassia Atanassova Janusz Kacprzyk Andrzej Kałuszko Maciej Krawczak Jan W. Owsiński Sotir S. Sotirov Evdokia Sotirova Eulalia Szmidt Sławomir ZadrożnyThis book is composed of selected papers from the Sixteenth National Conference on Operational and Systems Research, BOS-2020, held on December 14-15, 2020, one of premiere conferences in the field of operational and systems research. The second is the Nineteenth International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, IWIFSGN 2020, held on December 10-11, 2020, in Warsaw, Poland, in turn—one of premiere conferences on fuzzy logic, notably on extensions of the traditional fuzzy sets, also comprising a considerable part on the generalized nets (GNs), an important extension of the traditional Petri nets. A joint publication of selected papers from the two conferences follows a long tradition of such a joint organization and—from a substantial point of view—combines systems modeling, systems analysis, broadly perceived operational research, notably optimization, decision making, and decision support, with various aspects of uncertain and imprecise information and their related tools and techniques.
Uncertainty and Imprecision in Decision Making and Decision Support - New Advances, Challenges, and Perspectives: Selected Papers from BOS/SOR-2022, Held on October 13-15, 2022, and IWIFSGN-2022, Held on October 13-14, 2022, in Warsaw, Poland (Lecture Notes in Networks and Systems #793)
by Krassimir T. Atanassov Vassia Atanassova Janusz Kacprzyk Andrzej Kałuszko Maciej Krawczak Jan W. Owsiński Sotir S. Sotirov Evdokia Sotirova Eulalia Szmidt Sławomir ZadrożnyThis volume is composed of selected papers from two conferences held in Warsaw, Poland on October 13-15, 2022: the BOS/SOR’2022 - National Conference on Operational and Systems Research, one of premiere conferences in the field of operational and systems research, and the Twentith International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, IWIFSGN-2022, one of premiere conferences on fuzzy logic, notably on extensions of the traditional fuzzy sets, also comprising a considerable part on the Generalized Nets (GNs). A joint publication of selected papers from the two conferences follows a long tradition of such a joint organization, and – from a substantial point of view – combines systems modeling, systems analysis, broadly perceived operational research, notably optimization, decision making and decision support, with various aspects of uncertain and imprecise information and their related tools and techniques.
Uncertainty-aware Integration of Control with Process Operations and Multi-parametric Programming Under Global Uncertainty (Springer Theses)
by Vassilis M. CharitopoulosThis book introduces models and methodologies that can be employed towards making the Industry 4.0 vision a reality within the process industries, and at the same time investigates the impact of uncertainties in such highly integrated settings. Advances in computing power along with the widespread availability of data have led process industries to consider a new paradigm for automated and more efficient operations. The book presents a theoretically proven optimal solution to multi-parametric linear and mixed-integer linear programs and efficient solutions to problems such as process scheduling and design under global uncertainty. It also proposes a systematic framework for the uncertainty-aware integration of planning, scheduling and control, based on the judicious coupling of reactive and proactive methods. Using these developments, the book demonstrates how the integration of different decision-making layers and their simultaneous optimisation can enhance industrial process operations and their economic resilience in the face of uncertainty.
Uncertainty Data in Interval-Valued Fuzzy Set Theory: Properties, Algorithms and Applications (Studies in Fuzziness and Soft Computing #367)
by Barbara PękalaThis book offers an introduction to fuzzy sets theory and their operations, with a special focus on aggregation and negation functions. Particular attention is given to interval-valued fuzzy sets and Atanassov’s intuitionistic fuzzy sets and their use in uncertainty models involving imperfect or unknown information. The theory and application of interval-values fuzzy sets to various decision making problems represent the central core of this book, which describes in detail aggregation operators and their use with imprecise data represented as intervals. Interval-valued fuzzy relations, compatibility measures of interval and the transitivity property are thoroughly covered. With its good balance between theoretical considerations and applications of originally developed algorithms to real-world problem, the book offers a timely, inspiring guide to mathematicians and engineers developing new decision making models or implementing/applying existing ones to a wide range of applications involving imprecise or incomplete data.