[PDF] Data Augmented Design eBook

Author : Ying Long
Publisher : Springer Nature
Page : 242 pages
File Size : 34,49 MB
Release : 2020-08-13
Category : Computers
ISBN : 303049618X

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This book offers an essential introduction to a new urban planning and design methodology called Data Augmented Design (DAD) and its evolution and progresses, highlighting data driven methods, urban planning and design applications and related theories. The authors draw on many kinds of data, including big, open, and conventional data, and discuss cutting-edge technologies that illustrate DAD as a future oriented design framework in terms of its focus on multi-data, multi-method, multi-stage and multi-scale sustainable urban planning. In four sections and ten chapters, the book presents case studies to address the core concepts of DAD, the first type of applications of DAD that emerged in redevelopment-oriented planning and design, the second type committed to the planning and design for urban expansion, and the future-oriented applications of DAD to advance sustainable technologies and the future structural form of the built environment. The book is geared towards a broad readership, ranging from researchers and students of urban planning, urban design, urban geography, urban economics, and urban sociology, to practitioners in the areas of urban planning and design.​

Author : Bettina Hüttenrauch
Publisher : Springer
Page : 361 pages
File Size : 36,37 MB
Release : 2016-06-10
Category : Business & Economics
ISBN : 3658145773

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This study delivers insights on which external sources – e.g. website click behavior, surveys, or social media data – can and cannot be used for data augmentation. A case study is performed to test the suitability of different sources in order to create a generalized practical guide for data augmentation in marketing. Data augmentation is a beneficial tool for companies to use external data, if the internal data basis for targeting is not sufficient to reach the customers with the highest propensity. This study shows that augmenting data from feasible sources leads to significant conversion lifts.

Author : Barry Glaz
Publisher : John Wiley & Sons
Page : 672 pages
File Size : 33,22 MB
Release : 2020-01-22
Category : Technology & Engineering
ISBN : 0891183590

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Better experimental design and statistical analysis make for more robust science. A thorough understanding of modern statistical methods can mean the difference between discovering and missing crucial results and conclusions in your research, and can shape the course of your entire research career. With Applied Statistics, Barry Glaz and Kathleen M. Yeater have worked with a team of expert authors to create a comprehensive text for graduate students and practicing scientists in the agricultural, biological, and environmental sciences. The contributors cover fundamental concepts and methodologies of experimental design and analysis, and also delve into advanced statistical topics, all explored by analyzing real agronomic data with practical and creative approaches using available software tools. IN PRESS! This book is being published according to the “Just Published” model, with more chapters to be published online as they are completed.

Author : Mariano Alcaniz
Publisher : SDC Publications
Page : 388 pages
File Size : 26,82 MB
Release : 2019-06
Category : Computers
ISBN : 1630572691

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This book is designed as a learning tool to help the aspiring engineer learn the language of engineering graphics. In this regard, this book is hardly unique, as there have been literally hundreds of books published in the past that had a similar goal. The main challenge faced by engineering graphics books comes from the difficulty of representing and describing three dimensional information on paper, which is a consequence of the two dimensional nature of printed materials. What makes this book invaluable is the use of Augmented Reality, a technology that will allow you to escape the limitations of traditional materials enabling you, the student, to truly visualize the objects being described in full 3D. To take full advantage of this book you will need a smartphone, tablet or computer with a camera, along with the apps provided.* Many parts of the book are linked to specific augmented reality content through a series of black and white markers that have been seamlessly integrated throughout the pages. In order to experience the content, your device’s camera must be pointed at these markers. The main marker, available at the beginning of the book, is used to interact with the augmented reality models, which will be rendered in real time in your device’s screen. * If you do not have an iOS or Android device, or a computer with a webcam, SOLIDWORKS files of the models used throughout the book are available for download. In addition, STL files are available so the models can be opened using your solid modeling CAD package of choice or printed using a 3D printer.

Author : Frank Melendez
Publisher : Routledge
Page : 338 pages
File Size : 17,40 MB
Release : 2020-09-29
Category : Architecture
ISBN : 1000064417

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Data, Matter, Design presents a comprehensive overview of current design processes that rely on the input of data and use of computational design strategies, and their relationship to an array of outputs. Technological changes, through the use of computational tools and processes, have radically altered and influenced our relationship to cities and the methods by which we design architecture, urban, and landscape systems. This book presents a wide range of curated projects and contributed texts by leading architects, urbanists, and designers that transform data as an abstraction, into spatial, experiential, and performative configurations within urban ecologies, emerging materials, robotic agents, adaptive fields, and virtual constructs. Richly illustrated with over 200 images, Data, Matter, Design is an essential read for students, academics, and professionals to evaluate and discuss how data in design methodologies and theoretical discourses have evolved in the last two decades and why processes of data collection, measurement, quantification, simulation, algorithmic control, and their integration into methods of reading and producing spatial conditions, are becoming vital in academic and industry practices.

Author : Judith Hurwitz
Publisher : CRC Press
Page : 155 pages
File Size : 10,25 MB
Release : 2019-12-13
Category : Computers
ISBN : 0429589719

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The AI revolution is moving at a breakneck speed. Organizations are beginning to invest in innovative ways to monetize their data through the use of artificial intelligence. Businesses need to understand the reality of AI. To be successful, it is imperative that organizations understand that augmented intelligence is the secret to success. Augmented Intelligence: The Business Power of Human–Machine Collaboration is about the process of combining human and machine intelligence. This book provides business leaders and AI data experts with an understanding of the value of augmented intelligence and its ability to help win competitive markets. This book focuses on the requirement to clearly manage the foundational data used for augmented intelligence. It focuses on the risks of improper data use and delves into the ethics and governance of data in the era of augmented intelligence. In this book, we explore the difference between weak augmentation that is based on automating well understood processes and strong augmentation that is designed to rethink business processes through the inclusion of data, AI and machine learning. What experts are saying about Augmented Intelligence "The book you are about to read is of great importance because we increasingly rely on machine learning and AI. Therefore, it is critical that we understand the ability to create an environment in which businesses can have the tools to understand data from a holistic perspective. What is imperative is to be able to make better decisions based on an understanding of the behavior and thinking of our customers so that we can take the best next action. This book provides a clear understanding of the impact of augmented intelligence on both society and business."—Tsvi Gal, Managing Director, Enterprise Technology and Services, Morgan Stanley "Our mission has always been to help clients apply AI to better predict and shape future outcomes, empower higher value work, and automate how work gets done. I have always said, ’AI will not replace managers, but managers who use AI will replace managers who don't.’ This book delves into the real value that AI promises, to augment existing human intelligence, and in the process, dispels some of the myths around AI and its intended purpose."—Rob Thomas, General Manager, Data and AI, IBM

Author : Giorgia Lupi
Publisher : Chronicle Books
Page : 304 pages
File Size : 17,22 MB
Release : 2016-09-13
Category : Design
ISBN : 1616895462

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Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates "the infinitesimal, incomplete, imperfect, yet exquisitely human details of life," in the words of Maria Popova (Brain Pickings), who introduces this charming and graphically powerful book. For one year, Giorgia Lupi, an Italian living in New York, and Stefanie Posavec, an American in London, mapped the particulars of their daily lives as a series of hand-drawn postcards they exchanged via mail weekly—small portraits as full of emotion as they are data, both mundane and magical. Dear Data reproduces in pinpoint detail the full year's set of cards, front and back, providing a remarkable portrait of two artists connected by their attention to the details of their lives—including complaints, distractions, phone addictions, physical contact, and desires. These details illuminate the lives of two remarkable young women and also inspire us to map our own lives, including specific suggestions on what data to draw and how. A captivating and unique book for designers, artists, correspondents, friends, and lovers everywhere.

Author : Erin Pangilinan
Publisher : "O'Reilly Media, Inc."
Page : 372 pages
File Size : 50,5 MB
Release : 2019-03-18
Category : Computers
ISBN : 1492044148

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Despite popular forays into augmented and virtual reality in recent years, spatial computing still sits on the cusp of mainstream use. Developers, artists, and designers looking to enter this field today have few places to turn for expert guidance. In this book, Erin Pangilinan, Steve Lukas, and Vasanth Mohan examine the AR and VR development pipeline and provide hands-on practice to help you hone your skills. Through step-by-step tutorials, you’ll learn how to build practical applications and experiences grounded in theory and backed by industry use cases. In each section of the book, industry specialists, including Timoni West, Victor Prisacariu, and Nicolas Meuleau, join the authors to explain the technology behind spatial computing. In three parts, this book covers: Art and design: Explore spatial computing and design interactions, human-centered interaction and sensory design, and content creation tools for digital art Technical development: Examine differences between ARKit, ARCore, and spatial mapping-based systems; learn approaches to cross-platform development on head-mounted displays Use cases: Learn how data and machine learning visualization and AI work in spatial computing, training, sports, health, and other enterprise applications

Author : Martin Schmettow
Publisher : Springer
Page : 0 pages
File Size : 40,12 MB
Release : 2022-07-15
Category : Computers
ISBN : 9783030463823

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Design Research uses scientific methods to evaluate designs and build design theories. This book starts with recognizable questions in Design Research, such as A/B testing, how users learn to operate a device and why computer-generated faces are eerie. Using a broad range of examples, efficient research designs are presented together with statistical models and many visualizations. With the tidy R approach, producing publication-ready statistical reports is straight-forward and even non-programmers can learn this in just one day. Hundreds of illustrations, tables, simulations and models are presented with full R code and data included. Using Bayesian linear models, multi-level models and generalized linear models, an extensive statistical framework is introduced, covering a huge variety of research situations and yet, building on only a handful of basic concepts. Unique solutions to recurring problems are presented, such as psychometric multi-level models, beta regression for rating scales and ExGaussian regression for response times. A “think-first” approach is promoted for model building, as much as the quantitative interpretation of results, stimulating readers to think about data generating processes, as well as rational decision making. New Statistics for Design Researchers: A Bayesian Workflow in Tidy R targets scientists, industrial researchers and students in a range of disciplines, such as Human Factors, Applied Psychology, Communication Science, Industrial Design, Computer Science and Social Robotics. Statistical concepts are introduced in a problem-oriented way and with minimal formalism. Included primers on R and Bayesian statistics provide entry point for all backgrounds. A dedicated chapter on model criticism and comparison is a valuable addition for the seasoned scientist.

Author : Benn R. Konsynski
Publisher :
Page : 11 pages
File Size : 47,50 MB
Release : 1993
Category :
ISBN :

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Currently, organizational and information technology evolution occurs on a continuum somewhere between engineered programs and "illogical" art. The focus of this paper is identifying an effective process--here termed the augmented design approach--for organizational and information systems evolution. For the business manager, the augmented approach helps to align the organization within an increasingly volatile competitive environment and provides a process to groom managers who can incorporate both an organizational and systems perspective in their designing activities.