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.​

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.

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

Augmented Reality (AR) is a natural development from virtual reality (VR), which was developed several decades earlier. AR complements VR in many ways. Due to the advantages of the user being able to see both the real and virtual objects simultaneously, AR is far more intuitive, but it's not completely detached from human factors and other restrictions. AR doesn't consume as much time and effort in the applications because it's not required to construct the entire virtual scene and the environment. In this book, several new and emerging application areas of AR are presented and divided into three sections. The first section contains applications in outdoor and mobile AR, such as construction, restoration, security and surveillance. The second section deals with AR in medical, biological, and human bodies. The third and final section contains a number of new and useful applications in daily living and learning.

This book aims at capitalizing and transmitting know-how about the design of Augmented Environments (AE) from some of the most prominent laboratories in the field worldwide. The authors belong to the RUFAE network (Research on User- Friendly Augmented Environments, founded in 2002) who meet in research seminars to share experience; Writing this book was perceived as an opportunity to look back over the last few years to sum up important findings; and formalize their approach and experience, which they never had the time or opportunity to do. Although the authors of this book have very different backgrounds, striking similarities emerge in their approach and design principles: never-endingness, activity-orientedness, continuous design, realism are some of the pillars of this approach; enabling to deal with the complex, heterogeneous, multi-user and mul- purpose constructions which AE designers have to face. The book illustrates how these principles enabled them to construct robust, ef- cient, and user-friendly Augmented Environments in spite of the many challenges to make these operational. We hope their experience will help the reader. Primary audience: Academics, Students and Professionals involved in the CHI, CSCW, Ubicomp, Cooperative Building communities. Computer Scientists int- ested by end-users and applications, Social Scientists operating in the IT domain, IT & Organization Consultants. Secondary audience: Developers of office and conferencing applications or middleware, Architects of office buildings, Space Planners, Designers; Facility Managers; IT, furniture & building Business Communities.

Virtual Reality (VR) is the paradigm wherein people use a computer to interact with something which is not real but provides a real-life experience. It is one of the most advanced interfaces between users and computers, where people can interact with a virtual model in real-time allowing them to visualize and manipulate representations of the real world. Together with Augmented Reality (AR), which adds layers of information to the real environment, VR is a powerful tool for designers and architects in the development of new responsive products, systems and built environments, that meets user's needs. VR and AR are tools that enhance design and architecture students' comprehension about complex and abstract concepts. Informative and accessible, this publication presents, analyses, and discusses the integration and use of Virtual and Augmented Reality within the process of planning, development and research for Design and Architecture. The book also presents case studies with multidisciplinary collaborative work. This book is meant for practitioners and academics alike, as it examines specific aspects related to the use of new technologies in the field of Architecture and Design, highlighting its application in areas such as education, heritage, research, and methodologies, bridging the gap between Architectural and Design abstraction and human requirements through technology.

Augmented reality (AR) is transforming how we work, learn, play and connect with the world, and is now being introduced to the field of medicine, where it is revolutionising healthcare as pioneering virtual elements are being added to real images to provide a more compelling and intuitive view during procedures. This book, which had its beginnings at the AE-CAI: Augmented Environments for Computer-Assisted Interventions MICCAI Workshop in Munich in 2015, is the first to review the area of mixed and augmented reality in medicine. Covering a range of examples of the use of AR in medicine, it explores its relevance to minimally-invasive interventions, how it can improve the accuracy of a procedure and reduce procedure time, and how it may be employed to reduce radiation risks. It also discusses how AR can be an effective tool in the education of physicians, medical students, nurses and other health professionals. Features: An ideal practical guide for medical professionals and students looking to understand the implementation, applications, and future of AR Contains the latest developments and technologies in this innovative field Edited by highly respected pioneers in the field, who have been immersed in AR as well as virtual reality and image-guided surgery since their inception, with chapter contributions from subject area specialists working with AR

This book constitutes refereed proceedings of the First International Conference on Emerging Networking Architecture and Technologies, ICENAT 2022, held in Shenzhen, China, in October 2022. The 50 papers presented were thoroughly reviewed and selected from the 106 submissions. The volume focuses on the latest achievements in the field of emerging network technologies, covering the topics of emerging networking architecture, network frontier technologies, industry network applications and so on.

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.

Network Algorithmics: An Interdisciplinary Approach to Designing Fast Networked Devices, Second Edition takes an interdisciplinary approach to applying principles for efficient implementation of network devices, offering solutions to the problem of network implementation bottlenecks. In designing a network device, there are dozens of decisions that affect the speed with which it will perform – sometimes for better, but sometimes for worse. The book provides a complete and coherent methodology for maximizing speed while meeting network design goals. The book is uniquely focused on the seamless integration of data structures, algorithms, operating systems and hardware/software co-designs for high-performance routers/switches and network end systems. Thoroughly updated based on courses taught by the authors over the past decade, the book lays out the bottlenecks most often encountered at four disparate levels of implementation: protocol, OS, hardware and architecture. It then develops fifteen principles key to breaking these bottlenecks, systematically applying them to bottlenecks found in end-nodes, interconnect devices and specialty functions located along the network. Later sections discuss the inherent challenges of modern cloud computing and data center networking. - Offers techniques that address common bottlenecks of interconnect devices, including routers, bridges, gateways, endnodes, and Web servers - Presents many practical algorithmic concepts that students and readers can work with immediately - Revised and updated throughout to discuss the latest developments from authors' courses, including measurement algorithmics, randomization, regular expression matching, and software-defined networking - Includes a new, rich set of homework exercises and exam questions to facilitate classroom use