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This book explores the rise of technology-centered urban planning and the diffusion of these practices around the world. Seven axes of urban planning have been selected to highlight how data and technology currently work and how these systems can be improved going forward. Each aspect is explored in its own chapter that combines narrative description, illustrations, and case studies to show how technology currently shapes our cities and how this may impact the urban environments. Topics include infrastructure, mobility, energy use and distribution, work, public health, and knowledge transfer among others. The book also demonstrates how these aspects are tied to and affect the four pillars of sustainability: environment, society, economy, and culture.

This book constitutes the refereed proceedings of the 14th International Conference on Intelligent Human Computer Interaction, IHCI 2022, held in Tashkent, Uzbekistan, during October 20¿22, 2022. The 47 full papers and 13 short papers included in this book were carefully reviewed and selected from 148 submissions. They were organized in topical sections as follows: Bio-inspired Computing; Cognitive computing; Human Centered AI; Intelligent Technology for Post-Covid and Web Frameworks.

"The Art of Randomness teaches readers to harness the power of randomness (and Python code) to solve real-world problems in programming, science, and art through hands-on experiments-from simulating evolution to encrypting messages to making machine-learning algorithms. Each chapter describes how randomness plays into the given topic area, then proceeds to demonstrate its problem-solving role with hands-on experiments to work through using Python code"--

This book constitutes the refereed post-conference proceedings of the Second International Conference on ICT for Health, Accessibility and Wellbeing, IHAW 2022, held in Larnaca, Cyprus, in December 2022. The revised 14 full papers and 3 short papers presented were carefully selected from 33 submissions. The papers are thematically arranged in the following sections: Visual Impairment and ICT for Mobility; ICT and Student Health; ICT and Wellbeing and ICT & Health prevention

Information theory deals with mathematical laws that govern the flow, representation and transmission of information, just as the field of physics concerns laws that govern the behavior of the physical universe. The foundation was made in the context of communication while characterizing the fundamental limits of communication and offering codes (sometimes called algorithms) to achieve them.The most significant achievement of the field is the invention of digital communication which forms the basis of our daily-life digital products such as smart phones, laptops and any IoT devices. Recently it has also found important roles in a spotlight field that has been revolutionized during the past decades: data science.This book aims at demonstrating modern roles of information theory in a widening array of data science applications. The first and second parts of the book covers the core concepts of information theory: basic concepts on several key notions; and celebrated source and channel coding theorems which concern the fundamental limits of communication. The last part focuses on applications that arise in data science, including social networks, ranking, and machine learning.The book is written as a text for senior undergraduate and graduate students working on Information Theory and Communications, and it should also prove to be a valuable reference for professionals and engineers from these fields.

The adoption of multilayer analysis techniques is rapidly expanding across all areas of knowledge, from social sciences (the first facing the complexity of such structures, decades ago) to computer science, from biology to engineering. However, until now, no book has dealt exclusively with the analysis and visualization of multilayer networks. Multilayer Networks: Analysis and Visualization provides a guided introduction to one of the most complete computational frameworks, named muxViz, with introductory information about the underlying theoretical aspects and a focus on the analytical side. Dozens of analytical scripts and examples to use the muxViz library in practice, by means of the Graphical User Interface or by means of the R scripting language, are provided. In addition to researchers in the field of network science, as well as practitioners interested in network visualization and analysis, this book will appeal to researchers without strong technical or computer science background who want to learn how to use muxViz software, such as researchers from humanities, social science and biology: audiences which are targeted by case studies included in the book. Other interdisciplinary audiences include computer science, physics, neuroscience, genetics, urban transport and engineering, digital humanities, social and computational social science.Readers will learn how to use, in a very practical way (i.e., without focusing on theoretical aspects), the algorithms developed by the community and implemented in the free and open-source software muxViz. The data used in the book is available on a dedicated (open and free) site.

By incorporating the latest advancement in complex system modeling and simulation into the service system research, this book makes a valuable contribution to this field that will lead service innovation and service management toward the digital twin and metaverse. It covers important topics such as computational experiments and parallel execution of a parallel service system, the modeling of artificial service systems, semi-parallel service systems, parallel service, and digital twin/metaverse. It also provides a unified framework for realizing a parallel service system that demonstrates the capabilities or potentials of adopting digital twin and metaverse.In addition, the book contains numerous solutions to real-world problems, through which both academic readers and practitioners will gain new perspectives on service systems, and learn how to model a parallel service system or how to use the model to analyze and understand the behaviors of the system. For academic readers, it sheds light on a new research direction within the service science/engineering domain made possible by the latest technologies. For practitioners, with the help of methods such as Agent-based Modeling and Simulation, the book will enable them to enhance their skills in designing or analyzing a service system.

This book is a self-guided tour of MATLAB for engineers and life scientists. It introduces the most commonly used programming techniques through biologically inspired examples. Although the text is written for undergraduates, graduate students and academics, as well as those in industry, will find value in learning MATLAB.The book takes the emphasis off of learning syntax so that the reader can focus more on algorithmic thinking. Although it is not assumed that the reader has taken differential equations or a linear algebra class, there are short introductions to many of these concepts. Following a short history of computing, the MATLAB environment is introduced. Next, vectors and matrices are discussed, followed by matrix-vector operations. The core programming elements of MATLAB are introduced in three successive chapters on scripts, loops, and conditional logic. The last three chapters outline how to manage the input and output of data, create professional quality graphics and find and use MATLAB toolboxes. Throughout, biomedical and life science examples are used to illustrate MATLAB's capabilities.

This book gathers peer-review contributions to the 4th International Workshop on Gerontechnology, IWoG 2021, held on November 23-24, 2021, in Evora, Portugal. They report on cutting-edge technologies and optimized workflows for promoting active aging and assisting elderly people at home, as well as in healthcare centers. They discuss the main challenges in the development, use and delivery of health care services and technologies.  Not only they propose solutions for improving in practice the monitoring and management of health parameters and age-related diseases, yet they also describe improved approaches for helping seniors in their daily tasks and facilitating their communication and integration with assistive technologies, thus improving their quality of life, as well as their social integration. All in all, this book provides health professionals, researchers, and service providers with extensive information on the latest trends in the development and practical application of gerontechnology, with a special emphasis on improving quality of life of the elderly.

In today's world, organizations face a multitude of problems that require an unprecedented need for tools to share information and work better together. In Working Beyond Borders: GIS for Geospatial Collaboration, see how government, industries, and others, are using location intelligence and GIS to interconnect people across jurisdictions and sectors, to respond to some of our most critical issues, such as climate change, sustainable development, racial equity, emergency management, conservation, and public health and safety.Readers will also see how organizations are integrating geospatial infrastructure to improve efficiency, drive innovation, and empower every day decision-making in communities around the world.Edited by Dr. Jill Saligoe-Simmel and Maria JordanApplying GIS The Applying GIS series explains how to become a spatial thinker with ideas and strategies for building location intelligence into your profession, industry, or discipline. Each book is divided into relevant topic areas that include real-life case studies that will inspire new ways to solve complex problems.

This collection of essays exposes the reader to the haptics field, the haptic sense, and some examples of haptic technology. They cover over 50 years of research and terminology, and thus will be a handy reference for any researcher.

Top 20 Essential Skills for ArcGIS® Pro introduces the most important skills you need to get up and running with geographic information systems (GIS).With its location data advantage, geographic information system (GIS) software is a tool to help with key projects, decisions, and problems. But how do you start using GIS in your projects? If you need a fast track to using this valuable tool, learn and get experience with Top 20 Essential Skills for ArcGIS Pro. With this book, you can start using ArcGIS Pro quickly and successfully.Easy to understand, step-by-step exercisesConversational, upbeat language with lots of illustrations and tipsInteresting user stories covering how GIS is applied in many situationsExercises for working with spatial data, creating maps, and doing basic analysisThis handy resource with easy to follow, how-to steps will help you build your skill set to become adept at understanding and using ArcGIS Pro.Bonnie Shrewsbury, MA, GISP, is the GIS manager for the City of Manhattan Beach, California. She has more than 26 years of experience in GIS, including 16 years of coteaching a GIS course with her coauthor at the University of Southern California (USC) for graduate-level planning and public policy students.Barry Waite has almost 40 years of local government experience as an administrator and city planner. He has a master's degree in public administration from the University of Southern California where he teaches GIS with Bonnie. He is also a city council member for the City of Lomita, California.

This classic ArcGIS® exercise book has been revised and streamlined for learning the latest ArcGIS® Pro tools and workflows.GIS Tutorial for ArcGIS Pro 3.1 is the book of choice for classrooms and self-learners seeking to develop their expertise with Esri's premier desktop geographic information system (GIS) technology-no prior experience is necessary.This fifth edition, revised to ArcGIS Pro 3.1, features new datasets, exercises, and instructional text guiding you step by step through the latest tools and workflows. Updated to explain core skills through progressive learning, the book's examples use current, real-world scenarios as you learn to make maps and find, create, and analyze spatial data while using ArcGIS Pro and ArcGIS Online.Downloadable video lectures and teaching slides that complement this book are also available.Wilpen L. Gorr is emeritus professor of public policy and management information systems at the School of Public Policy and Management, H. John Heinz III College, Carnegie Mellon University, where he taught and researched GIS applications. He was also chairman of the school's Master of Science in Public Policy and Management program and editor of the International Journal of Forecasting.Kristen S. Kurland is a Teaching Professor of Architecture, Information Systems, and Public Policy at the H. John Heinz III College and School of Architecture, Carnegie Mellon University, where she teaches GIS, building information modeling, computer-aided design, 3D visualization, infrastructure management, and enterprise data analytics.

Spatial statistics empower you to go beyond visual analysis to answer questions confidently and make data-driven decisions.Spatial Statistics Illustrated is an introductory book for learning the concepts behind the powerful spatial statistics tools in ArcGIS.With approachable explanations and uncomplicated drawings, Spatial Statistics Illustrated gives readers an accessible understanding of some of the most widely used spatial statistics methods, including how they work and when to use them. In a friendly, conversational tone, the authors share techniques that can help you explore your data in meaningful ways; quantify patterns and relationships; understand trends, and make informed, impactful decisions. This book is a perfect complement to more traditional, technical statistics and spatial statistics texts. From seasoned data scientists looking to explore the value that spatial thinking brings to the GIS analyst looking to expand into spatial statistics, this book has something for everyone.Dr. Lauren Bennett leads the Spatial Analysis and Data Science product engineering team at Esri. Lauren received a BA in Geography from McGill University, an MS in Geographic and Cartographic Science from George Mason University, and her PhD in Information Systems and Technology from Claremont Graduate University.Flora Vale is a product engineer on Esri's Spatial Analysis and Data Science team. In addition to building software, Flora loves teaching analytical methods through conceptual illustrations. Flora studied Geography and GIS at University of Maryland, and is currently pursuing a PhD in Information Systems and Technology at Claremont Graduate University.

This book presents the best, peer-reviewed contributions from the XII Congress of the Italian Society of Ergonomics and Human Factors (SIE), held in Lucca, Italy, on May 2-4, 2022. By highlighting the latest theories and models, as well as cutting-edge technologies and applications, and by combining findings from a range of disciplines including engineering, design, robotics, management, computer science, human biology and behavioral sciences, it provides researchers and practitioners alike with a comprehensive, timely guide on human factors and ergonomics in a variety of industrial sectors, such as health care, transportation, automotive and constructions. It also offers an excellent source of innovative ideas to stimulate future discussions and developments aimed at applying knowledge and techniques to optimize system performance, while at the same time promoting health, safety, and well-being of individuals anc communities. The proceedings includes papers from researchers and practitioners, scientists and physicians, institutional leaders, managers, and policy makers that contribute to constructing the Human Factors and Ergonomics approach across a variety of methodologies, domains, and productive sectors.

This book surveys recent advances in Conversational Information Retrieval (CIR), focusing on neural approaches that have been developed in the last few years. Progress in deep learning has brought tremendous improvements in natural language processing (NLP) and conversational AI, leading to a plethora of commercial conversational services that allow naturally spoken and typed interaction, increasing the need for more human-centric interactions in IR.The book contains nine chapters. Chapter 1 motivates the research of CIR by reviewing the studies on how people search and subsequently defines a CIR system and a reference architecture which is described in detail in the rest of the book. Chapter 2 provides a detailed discussion of techniques for evaluating a CIR system ¿ a goal-oriented conversational AI system with a human in the loop. Then Chapters 3 to 7 describe the algorithms and methods for developing the main CIR modules (or sub-systems). In Chapter 3, conversational document search is discussed, which can be viewed as a sub-system of the CIR system. Chapter 4 is about algorithms and methods for query-focused multi-document summarization. Chapter 5 describes various neural models for conversational machine comprehension, which generate a direct answer to a user query based on retrieved query-relevant documents, while Chapter 6 details neural approaches to conversational question answering over knowledge bases, which is fundamental to the knowledge base search module of a CIR system. Chapter 7 elaborates various techniques and models that aim to equip a CIR system with the capability of proactively leading a human-machine conversation. Chapter 8 reviews a variety of commercial systems for CIR and related tasks. It first presents an overview of research platforms and toolkits which enable scientists and practitioners to build conversational experiences, and continues with historical highlights and recent trends in a range of application areas. Chapter 9eventually concludes the book with a brief discussion of research trends and areas for future work. The primary target audience of the book are the IR and NLP research communities. However, audiences with another background, such as machine learning or human-computer interaction, will also find it an accessible introduction to CIR.

The breakthrough of the century. How to decode brain thoughts step by step. The definite guide. Processes and procedures.This is Volume III and must be read in conjunction with the following books.Volume I.Thoughts to Word or Audio. How to know exactly what someone is thinking.ISBN-13¿: ¿ 979-8703923498Volume II.Decoding Thoughts and Inner Voice: Explanations and Debunking the Misconceptions.ISBN-13¿: ¿ 979-8801455488

This book introduces recent research results for cyber deception, a promising field for proactive cyber defense. The beauty and challenge of cyber deception is that it is an interdisciplinary research field requiring study from techniques and strategies to human aspects. This book covers a wide variety of cyber deception research, including game theory, artificial intelligence, cognitive science, and deception-related technology. Specifically, this book addresses three core elements regarding cyber deception: Understanding human¿s cognitive behaviors in decoyed network scenarios Developing effective deceptive strategies based on human¿s behaviorsDesigning deceptive techniques that supports the enforcement of deceptive strategiesThe research introduced in this book identifies the scientific challenges, highlights the complexity and inspires the future research of cyber deception.Researchers working in cybersecurity and advanced-level computer science students focused on cybersecurity will find this book useful as a reference. This book also targets professionals working in cybersecurity.Chapter 'Using Amnesia to Detect Credential Database Breaches' and Chapter 'Deceiving ML-Based Friend-or-Foe Identification for Executables' are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Enhance your SQL query writing skills to provide greater business value using advanced techniques such as common table expressions, window functions, and JSONPurchase of the print or Kindle book includes a free PDF eBookKey Features:Examine query design and performance using query plans and indexesSolve business problems using advanced techniques such as common table expressions and window functionsUse SQL in modern data platform solutions with JSON and Jupyter notebooksBook Description:SQL has been the de facto standard when interacting with databases for decades and shows no signs of going away. Through the years, report developers or data wranglers have had to learn SQL on the fly to meet the business needs, so if you are someone who needs to write queries, SQL Query Design and Pattern Best Practices is for you.This book will guide you through making efficient SQL queries by reducing set sizes for effective results. You'll learn how to format your results to make them easier to consume at their destination. From there, the book will take you through solving complex business problems using more advanced techniques, such as common table expressions and window functions, and advance to uncovering issues resulting from security in the underlying dataset. Armed with this knowledge, you'll have a foundation for building queries and be ready to shift focus to using tools, such as query plans and indexes, to optimize those queries. The book will go over the modern data estate, which includes data lakes and JSON data, and wrap up with a brief on how to use Jupyter notebooks in your SQL journey.By the end of this SQL book, you'll be able to make efficient SQL queries that will improve your report writing and the overall SQL experience.What You Will Learn:Build efficient queries by reducing the data being returnedManipulate your data and format it for easier consumptionForm common table expressions and window functions to solve complex business issuesUnderstand the impact of SQL security on your resultsUnderstand and use query plans to optimize your queriesUnderstand the impact of indexes on your query performance and designWork with data lake data and JSON in SQL queriesOrganize your queries using Jupyter notebooksWho this book is for:This book is for SQL developers, data analysts, report writers, data scientists, and other data gatherers looking to expand their skills for complex querying as well as for building more efficient and performant queries.For those new to SQL, this book can help you accelerate your learning and keep you from making common mistakes.

Implement real-world machine learning in a microservices architecture as well as design, build, and deploy intelligent microservices systems using examples and case studiesPurchase of the print or Kindle book includes a free PDF eBookKey Features:Design, build, and run microservices systems that utilize the full potential of machine learningDiscover the latest models and techniques for combining microservices and machine learning to create scalable systemsImplement machine learning in microservices architecture using open source applications with pros and consBook Description:With the rising need for agile development and very short time-to-market system deployments, incorporating machine learning algorithms into decoupled fine-grained microservices systems provides the perfect technology mix for modern systems. Machine Learning in Microservices is your essential guide to staying ahead of the curve in this ever-evolving world of technology.The book starts by introducing you to the concept of machine learning microservices architecture (MSA) and comparing MSA with service-based and event-driven architectures, along with how to transition into MSA. Next, you'll learn about the different approaches to building MSA and find out how to overcome common practical challenges faced in MSA design. As you advance, you'll get to grips with machine learning (ML) concepts and see how they can help better design and run MSA systems. Finally, the book will take you through practical examples and open source applications that will help you build and run highly efficient, agile microservices systems.By the end of this microservices book, you'll have a clear idea of different models of microservices architecture and machine learning and be able to combine both technologies to deliver a flexible and highly scalable enterprise system.What You Will Learn:Recognize the importance of MSA and ML and deploy both technologies in enterprise systemsExplore MSA enterprise systems and their general practical challengesDiscover how to design and develop microservices architectureUnderstand the different AI algorithms, types, and models and how they can be applied to MSAIdentify and overcome common MSA deployment challenges using AI and ML algorithmsExplore general open source and commercial tools commonly used in MSA enterprise systemsWho this book is for:This book is for machine learning solution architects, system and machine learning developers, and system and solution integrators of private and public sector organizations. Basic knowledge of DevOps, system architecture, and artificial intelligence (AI) systems is assumed, and working knowledge of the Python programming language is highly desired.