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This book reports on innovative research and practices in contemporary design, showing how to integrate different concepts and discussing the emerging role of design in different field, its meaning for humans and citizens, as well as its impact on society and the global ecosystem. Gathering the best papers from Senses & Sensibility, held on December 9-11, 2021 in Bari, Italy, it highlights the role of design in fostering education, physical and social wellbeing, industrial innovation and cultural preservation, as well as inclusivity, sustainability and communication in a world facing complex challenges on a global scale.

Im täglichen Leben sind wir zunehmend von Codes umgeben, die mathematisch konstruiert werden. Sie sind teils leicht erkennbar (Strichcode, ISBN, IBAN, QR) und teils eher verborgen (GPS, WLAN, CD, DVD). In diesem Buch werden solche Codes vorgestellt. Es wird dargelegt, wie sie aufgebaut sind, wie sie funktionieren und welche Mathematik zu ihrer Entwicklung und Anwendung notwendig ist. Die Lesenden lernen, eigenhändig Codes zu erstellen, Fehler zu erkennen und zu korrigieren:EAN, ISBN und deren Barcodedarstellung sowie die internationale Bankkontonummer IBAN werden erarbeitet.Kleine QR-Codes werden mit den vorgestellten Methoden (Paritätsprüfung, Linearcode, Polynomcode, zyklischer Code und Reed-Solomon Code) anschaulich realisiert.An der Herstellung einer Mini-CD mit einem CIRC-Code über einem kleinen Körper werden wesentliche Konstruktionsprinzipien von neuen Codes aus bestehenden Codes, wie z.B. Kürzen, Erweitern, Spreizen (Interleaving) und gekreuztes Spreizen (Cross-Interleaving) veranschaulicht.Das Verstehen von Mathematik wird durch diese selbstständige Erstellung und Verwendung didaktisch maßgeschneiderter Codes wesentlich gefördert.Ein besonderer Fokus des Buchs liegt auf elementaren Methoden des Rechnens mit ganzen Zahlen und Polynomen. Für diese benötigt man nur den Satz von der Division mit Rest als zentrale Aussage ¿ daher können große Abschnitte bereits mit Lernenden der Sekundarstufe II erarbeitet und die Grundlagen wesentlicher Teile der Codierungstheorie von den Lernenden mathematisch korrekt erfasst werden. Für Ausführungen, zu deren Verständnis Kenntnisse notwendig sind, die über die Mathematik der Sekundarstufe II hinausgehen, liegt ein ausführlicher Anhang vor (Vektorräume, Matrizen, Rechnen in endlichen Körpern).

This book provides an overview of the emerging field of in situ visualization, i.e. visualizing simulation data as it is generated. In situ visualization is a processing paradigm in response to recent trends in the development of high-performance computers. It has great promise in its ability to access increased temporal resolution and leverage extensive computational power. However, the paradigm also is widely viewed as limiting when it comes to exploration-oriented use cases. Furthermore, it will require visualization systems to become increasingly complex and constrained in usage. As research efforts on in situ visualization are growing, the state of the art and best practices are rapidly maturing.Specifically, this book contains chapters that reflect state-of-the-art research results and best practices in the area of in situ visualization. Our target audience are researchers and practitioners from the areas of mathematics computational science, high-performance computing, and computer science that work on or with in situ techniques, or desire to do so in future. 

This book presents the development of a gaming quality model to predict the gaming Quality of Experience (QoE) of players that could be used for planning the network service or quality monitoring of cloud gaming services. The author presents a model that is developed following a modular structure approach that keeps the different types of impairments separately. The book shows how such a modular structure allows developing a sustainable model as each component can be updated by advances in that specific research area or technology. The presented gaming quality model takes into account two modules of video quality and input quality. The latter considers the interactivity aspects of gaming. The video quality module offers a series of models that differ depending on the level of access to the video stream information, allowing high flexibility for service providers regarding the positions of measuring points within their system. In summary, the present book focuses on (1) creation of multiple image/video and cloud gaming quality datasets, (2) development of a gaming video classification, and (3) development of a series of gaming QoE models to predict the gaming QoE depending on the level of access to the video stream information.

Baseball is not the only sport to use "moneyball." American football teams, fantasy football players, fans, and gamblers are increasingly using data to gain an edge on the competition. Professional and college teams use data to help identify team needs and select players to fill those needs. Fantasy football players and fans use data to try to defeat their friends, while sports bettors use data in an attempt to defeat the sportsbooks. In this concise book, Eric Eager and Richard Erickson provide a clear introduction to using statistical models to analyze football data using both Python and R. Whether your goal is to qualify for an entry-level football analyst position, dominate your fantasy football league, or simply learn R and Python with fun example cases, this book is your starting place. Through case studies in both Python and R, you'll learn to: Obtain NFL data from Python and R packages and web scraping Visualize and explore data Apply regression models to play-by-play data Extend regression models to classification problems in football Apply data science to sports betting with individual player props Understand player athletic attributes using multivariate statistics

The surging predictive analytics market is expected to grow from $10.5 billion today to $28 billion by 2026. With the rise in automation across industries, the increase in data-driven decision-making, and the proliferation of IoT devices, predictive analytics has become an operational necessity in today's forward-thinking companies. > Explore ways that predictive analytics can provide direct input back to your business Understand mathematical tools commonly used in predictive analytics Learn the development frameworks used in predictive analytics applications Appreciate the role of predictive analytics in the machine learning process Examine industry implementations of predictive analytics Build, train, and retrain predictive models using Python and TensorFlow

Through a series of highly speculative contributions by both leading and highly acclaimed practitioners and theorists, this book gives a new comprehensive overview of architectures¿ most recent practical and theoretical developments. While a few chapters are mostly dedicated to a historical analysis of how we got to experience a new technological reality in architecture and beyond, all chapters including the most forward looking, have in common their rigorous understanding of history as a pool of radical experiments, whether one speaks of the history of architecture, or of sociology, technology, and science. Disruptive Technologies: The Convergence of New Paradigms in Architecture is required reading for anybody student, practitioner, and educator who wants to do serious research in architecture and all disciplines dealing with the shaping of our environment, beyond the important but restricted domain of computational architectural design.Additional multimedia content via app: download the SN More Media app for free, scan a link with play button and access to the Additional Contents directly on your smartphone or tablet.

This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Conference on Higher Education Learning Methodologies and Technologies Online, HELMeTO 2022, held in Palermo, Italy, in September 2022. The 59 revised papers presented were carefully reviewed and selected from a total of 126 submissions. The papers present recent research on challenges of implementing emerging technology solution for online, online learning pedagogical frameworks, online learning technologies in practice, online learning strategies and resources, etc.

This book is the first research monograph that explores a new research field and practical applications produced by the combined use of two of the most advanced and powerful technologies available in today¿s world ¿ Artificial Intelligence (AI) and Augmented Reality (AR). It is written by a team of 50 researchers and practitioners from 16 countries, which has enabled a thorough coverage of emerging or previously unexplored subject areas.The authors consider practical, theoretical, and cultural aspects of ¿AI-powered AR¿ and ¿AR-enriched AI¿, and their usage in a large variety of areas, such as education, medicine, healthcare, dentistry, pharmacy, active lifestyle, smart services, fashion, retail, recommender systems, and several others.Augmented Reality and Artificial Intelligence: The Fusion of Advanced Technologies is essential reading not only for researchers, practitioners and technology developers, but also for students (both graduates and undergraduates) and anyone who is interested in building a comprehensive understanding of the emerging fields of ¿intelligent augmented environments¿ and ¿artificial intelligence presented by augmented reality¿.

This book offers an extensive historical, philosophical and ethical discussion on the role of autonomous technologies, and their influence on human identity. By connecting those different perspectives, and analysing some practical case studies, it guides readers to dissect the relationship between machine and human autonomy, and machine and human identity. It analyses how the relationship between human and technology has been evolving in the last few centuries. Last, it aims at proposing an explanation on the reason/s why humans have been keen on developing their own autonomy¿s perfect avatar.

Take your Power BI reports to the next level by learning various data modeling techniques and leveraging the latest features of Power BI effectivelyPurchase of the print or Kindle book includes a free eBook in PDF format.Key Features:Get an understanding of data modeling techniques using Power BI with this up-to-date guideLearn how to define the relationships between data sets to extract valuable insightsExplore best practices for data preparation and modeling and build optimal data models to solve a wide variety of real-world business challengesBook Description:This book is a comprehensive guide to understanding the ins and outs of data modeling and how to create full-fledged data models using Power BI confidently.In this new, fully updated edition, you'll learn how to connect data from multiple sources, understand data, define and manage relationships between data, and shape data models to gain deep and detailed insights about your organization. As you advance through the chapters, the book will demonstrate how to prepare efficient data models in the Power Query Editor and use simpler DAX code with new data modeling features. You'll explore how to use the various data modeling and navigation techniques and perform custom calculations using the modeling features with the help of real-world examples. Finally, you'll learn how to use some new and advanced modeling features to enhance your data models to carry out a wide variety of complex tasks. Additionally, you'll learn valuable best practices and explore common data modeling complications and the solutions to supercharge the process of creating a data model in Power BI and build better-performing data models.By the end of this Power BI book, you'll have gained the skills you need to structure data coming from multiple sources in different ways to create optimized data models that support high-performing reports and data analytics.What You Will Learn:Implement virtual tables and time intelligence functionalities in DAX to build a powerful modelIdentify Dimension and Fact tables and implement them in Power Query EditorDeal with advanced data preparation scenarios while building Star SchemaDiscover different hierarchies and their common pitfallsUnderstand complex data models and how to decrease the level of model complexity with different approachesLearn advanced data modeling techniques such as calculation groups, aggregations, incremental refresh, RLS/OLS, and moreGet well-versed with datamarts and dataflows in PowerBIWho this book is for:This MS Power BI book is for BI users, data analysts, and analysis developers who want to become well-versed with data modeling techniques to make the most of Power BI. Basic working knowledge of Power BI and the Star Schema functionality are required to help you to understand the concepts covered in this book.

Craft ethical AI projects with privacy, fairness, and risk assessment features for scalable and distributed systems while maintaining explainability and sustainabilityPurchase of the print or Kindle book includes a free PDF eBookKey Features:Learn risk assessment for machine learning frameworks in a global landscapeDiscover patterns for next-generation AI ecosystems for successful product designMake explainable predictions for privacy and fairness-enabled ML trainingBook Description:AI algorithms are ubiquitous and used for tasks, from recruiting to deciding who will get a loan. With such widespread use of AI in the decision-making process, it's necessary to build an explainable, responsible, transparent, and trustworthy AI-enabled system. With Platform and Model Design for Responsible AI, you'll be able to make existing black box models transparent.You'll be able to identify and eliminate bias in your models, deal with uncertainty arising from both data and model limitations, and provide a responsible AI solution. You'll start by designing ethical models for traditional and deep learning ML models, as well as deploying them in a sustainable production setup. After that, you'll learn how to set up data pipelines, validate datasets, and set up component microservices in a secure and private way in any cloud-agnostic framework. You'll then build a fair and private ML model with proper constraints, tune the hyperparameters, and evaluate the model metrics.By the end of this book, you'll know the best practices to comply with data privacy and ethics laws, in addition to the techniques needed for data anonymization. You'll be able to develop models with explainability, store them in feature stores, and handle uncertainty in model predictions.What You Will Learn:Understand the threats and risks involved in ML modelsDiscover varying levels of risk mitigation strategies and risk tiering toolsApply traditional and deep learning optimization techniques efficientlyBuild auditable and interpretable ML models and feature storesUnderstand the concept of uncertainty and explore model explainability toolsDevelop models for different clouds including AWS, Azure, and GCPExplore ML orchestration tools such as Kubeflow and Vertex AIIncorporate privacy and fairness in ML models from design to deploymentWho this book is for:This book is for experienced machine learning professionals looking to understand the risks and leakages of ML models and frameworks, and learn to develop and use reusable components to reduce effort and cost in setting up and maintaining the AI ecosystem.

This book provides an interdisciplinary synthesis of the topic of culture in the context of Human-Computer Interaction (HCI) and a structured overview of a large body of HCI research on (and with) culture. The book presents a short and guided overview of the concept of culture. It offers some background on the origin and development of the term culture. It also outlines some of its key traits and ingredients and summarizes three main perspectives of culture across disciplines. The book argues that culture matters considerably in HCI and discusses a number of reasons for and against its relevance. Arguments against include a lack of a universal or common definition of the term culture and globalization. Arguments in favor touch upon important aspects of HCI, including a diversely growing user base, the need to provide designers with enough support to design across cultures, and the inseparable relationship between culture and technology. The issues explored in this book can be classified into three, non-mutually exclusive, categories: theoretical, practical, and controversial. The book outlines the main conceptual perspectives of culture within HCI, including Geert Hofstede¿s cultural dimensions theory, Edward T. Hall¿s cross-cultural theory of communication, and Richard Nisbett¿s cultural cognitive systems of thought as well as examining the ways in which culture has been operationalized in HCI research and the main functions of culture in this area. It closes with a discussion of some open issues intended to spark debate and future research. The literature this book draws upon covers a wide range of research disciplines, including Anthropology, Sociology, Cultural Studies, Robotics, Disability Studies, Cultural and Cross-Cultural Psychology, Usability, and Design. This book aspires to provide a useful overview of culture for HCI scholars at all levels.

This book deals fundamentally with the quality and usability of communication technology systems. To this end, the necessary terms are first introduced, and the fundamentals of psychophysics and psychometrics are established. Based on this, the cycle of human-oriented system development is presented. The measurement and prediction of quality and usability are then illustrated by practical examples of communication engineering systems. In particular, systems for information transmission (telephony, VoIP, IP-TV), speech dialog systems, and multimodal dialog systems are discussed. Finally, models for estimating quality and usability in the development phase of such systems are presented.The book is primarily aimed at readers with a technical background, for example in computer science, information technology, or electrical engineering. In addition, however, readers from linguistics and communication sciences, acoustics, sociology, human factors, and other fields of knowledge areequally addressed. It does not presuppose any special previous knowledge.This book is a translation of the original German 2nd edition Quality Engineering by Sebastian Möller, published by Springer-Verlag GmbH Germany, part of Springer Nature in 2017. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.

This book gathers the latest advances, innovations, and applications in the field of space robots as presented at the International Conference on Robots for Space Applications in Orbital Stations (TORVEASTRO), held in Rome, Italy on April 20-21, 2023. Topics addressed include history of space and robotics, bio-inspired space robotics, grasping, handling and intelligent manipulation, kinematics and dynamics, navigation & motion planning, robot vision and control, human-machine interfaces, new designs and prototypes, humanoid astronaut robots, and service space robots.

Updates on Software Usability is a collection of high-quality contributions for developers and non-developers alike. Beyond the preliminaries, the book is organized into two other parts: "Designing for Usability" and "Testing for Usability". The chapters in the second section, "Designing for Usability", offer valuable insights and practical guidance to take into account during the early stages of product conception and development. On the other hand, the chapters in the third section, "Testing for Usability", reflect and formalize software usability's evaluation and validation processes. These two complementary views on the subject make this book a balanced and comprehensive volume, which the reader will undoubtedly find both interesting and useful.

Empower yourself by desgining interactive dashboards in Tableau.This book comes with downloadable code files and colored images.Key Features:In-depth end-to-end knowledge on Tableau Desktop150+ step-by-step exercises to follow alongCover data load, relationships, joins, and visualization techniquesDives deep into Calculations and FunctionsIncludes new features of Tableau 2023.1Step-by-Step guide to learning TableauDashboarding with Tableau covers how to load data and create visualizations.The book includes all the concepts and provides step-by-step exercises to practice.The book begins with basic concepts of Tableau and how Tableau assists in Business Intelligence. It takes deep dive into loading, transforming, and combining data. Readers will also learn about different types of calculations in Tableau.The book illustrates how to create different types of visualizations and assimilate them into an interactive dashboard. The book starts with basics and steers the reader to advanced concepts.Who this book forThis book is a must-have for aspiring Tableau developers, BI analysts, Data explorers, and other data enthusiasts who wants to acquire deeper data insights. No prior knowledge of Tableau or advanced IT concepts are requried for this book. A basic familiarity with MS-Excel will be helpful.Table of contentsGetting StartedThe Data PaneData TransformationCombining DataCalculations in TableauTable and LOD CalculationsDate FunctionsFilters and ParametersSortingGroups,Sets and BinsMapsVisualization Part - 1Visualization Part - 2Dashboards

The introduction of Quantum Theory (QT) provides a unified mathematical framework for Information Retrieval (IR). Compared with the classical IR framework, the quantum-inspired IR framework is based on user-centered modeling methods to model non-classical cognitive phenomena in human relevance judgment in the IR process. With the increase of data and computing resources, neural IR methods have been applied to the text matching and understanding task of IR. Neural networks have a strong learning ability of effective representation and generalization of matching patterns from raw data. This monograph provides a systematic introduction to quantum-inspired neural IR, including quantum-inspired neural language representation, matching and understanding. The cross-field research on QT, neural network and IR is not only helpful to non-classical phenomena modeling in IR but also to break the theoretical bottleneck of neural networks and design more transparent neural IR models. The authors first introduce the language representation method based on QT. Secondly, they introduce the quantum-inspired text matching and decision making model under neural network that shows its theoretical advantages in document ranking, relevance matching, multimodal IR, and can be integrated with neural network to jointly promote the development of IR. Finally, the latest progress of quantum language understanding is introduced and further topics on QT and language modeling provide readers with more materials for thinking.

The process repeats itself: across five decades and eight novels, Thomas Pynchon repeats variations on a theme. In V. a woman is dispersed across space and time, rendered a cyborg ghost of geopolitical spasms. In The Crying of Lot 49 another woman sees her exlover's face emerge from the floating trash of the city streets and hears the cries of untold millions echoing through the telephone wires overhead. The ostensible protagonist of Gravity's Rainbow is taken over by a system of desire, and made a machine from the inside out. At the birth of modernity, the titular surveyors of Mason & Dixon discover the genesis of that great, hideous machine in the captive dreams of a continent. In Vineland, gods emerge out of the blips of data that represent human life and death, while in Bleeding Edge the ghosts of humanity glitch from the other side into our alternate realities. In each novel we discover variations on the theme of dissolution: people fragmented by mechanisms of control; bodies integrated into nightmarish circuitries; minds melted into flows of desire; and humanity itself incorporated into the vast inhuman machineries with which it has surrounded itself.

This book analyzes the generation of the arrow-categories of a given category, which is a foundational and distinguishable Category Theory phenomena, in analogy to the foundational role of sets in the traditional set-based Mathematics, for defi nition of natural numbers as well. This inductive transformation of a category into the infinite hierarchy of the arrowcategories is extended to the functors and natural transformations. The author considers invariant categorial properties (the symmetries) under such inductive transformations. The book focuses in particular on Global symmetry (invariance of adjunctions) and Internal symmetries between arrows and objects in a category (in analogy to Field Theories like Quantum Mechanics and General Relativity). The second part of the book is dedicated to more advanced applications of Internal symmetry to Computer Science: for Intuitionistic Logic, Untyped Lambda Calculus with Fixpoint Operators, Labeled Transition Systems in Process Algebras and Modal logics as well as Data Integration Theory.

This book draws on almost five decades of entrepreneurial experience and innovation and offers a broad perspective on ethical tech startups. It approaches the subject on two fronts by considering both the business of ethical technology as well as the challenges of tech startups with an imperative to behave ethically. The book provides readers with the tools to ethically frame and construct their startup ventures whether or not their core business is rooted in a technology meant to serve a social good. Incorporating ethical business practices both in knowledge and action, this book leads readers through the process of shaping an incipient startup idea all the way through the long-term operating stages. Using real-world case studies, the book explores key factors in successfully planning, framing, launching, leading, managing, and financing startups. This book is essential reading for researchers, academics, and students as well as industry professionals who have an idea or technology they want to get out into the world. Whether readers are seasoned in the field, employees of existing startups looking for better approaches, or new idealistic innovators who want to learn where to start, this guidebook explains and explores the road to launching the next great ethical tech startup.

This book constitutes the refereed proceedings of the 18th International Conference on Persuasive Technology, PERSUASIVE 2023, held in Eindhoven, The Netherlands, April 19¿21, 2023.The 24 full papers and 2 short papers included in this book were carefully reviewed and selected from 69 submissions. They were organized in topical sections as follows: Persuasive Technologies in Virtual and Augmented Reality; Persuasive Strategies; Persuasive Design and Applications; Methods for Tailoring and Personalisation; Artificial Persuasive Agents; Gamification; and Personal Factors in Persuasion.

This book explores the significance, challenges and benefits of digital twin technologies; it focuses in particular on various architectures, applications and challenges in the implementation of digital twins to Machine Learning and Internet of Things capabilities. Through the analysis of smart city and smart manufacturing case studies, the book explores the benefits of digital technologies in the Industry 4.0 Era.

This book gathers peer-reviewed papers presented at the 3rd International and Interdisciplinary Conference on Image and Imagination (IMG), held in Milano, Italy, in November 2021. Highlighting interdisciplinary and multi-disciplinary research concerning graphics science and education, the papers address theoretical research as well as applications, including education, in several fields of science, technology and art. Mainly focusing on graphics for communication, visualization, description and storytelling, and for learning and thought construction, the book provides architects, engineers, computer scientists, and designers with the latest advances in the field, particularly in the context of science, arts and education.