This book constitutes the proceedings of the 15th International Conference on Smart Homes and Health Telematics, ICOST 2017, held in Paris, France, in August 2017. The 18 regular papers, 5 short papers together with 2 invited talks included in this volume were carefully reviewed and selected from numerous submissions. The conference features a dynamic program incorporating a range of design, development, deployment and evaluation of Smart Urban Environments, Assistive Technologies, Chronic Disease Management, Coaching and Health Telematics systems.

This open access book was prepared as a Final Publication of the COST Action IC1303 “Algorithms, Architectures and Platforms for Enhanced Living Environments (AAPELE)”. The concept of Enhanced Living Environments (ELE) refers to the area of Ambient Assisted Living (AAL) that is more related with Information and Communication Technologies (ICT). Effective ELE solutions require appropriate ICT algorithms, architectures, platforms, and systems, having in view the advance of science and technology in this area and the development of new and innovative solutions that can provide improvements in the quality of life for people in their homes and can reduce the financial burden on the budgets of the healthcare providers. The aim of this book is to become a state-of-the-art reference, discussing progress made, as well as prompting future directions on theories, practices, standards, and strategies related to the ELE area. The book contains 12 chapters and can serve as a valuable reference for undergraduate students, post-graduate students, educators, faculty members, researchers, engineers, medical doctors, healthcare organizations, insurance companies, and research strategists working in this area.

This book discusses the basic principles of sustainable development in a smart city ecosystem to better serve the life of citizens. It examines smart city systems driven by emerging IoT-powered technologies and the other dependent platforms. Smart Cities: AI, IoT Technologies, Big Data Solutions, Cloud Platforms, and Cybersecurity Techniques discusses the design and implementation of the core components of the smart city ecosystem. The editors discuss the effective management and development of smart city infrastructures, starting with planning and integrating complex models and diverse frameworks into an ecosystem. Specifically the chapters examine the core infrastructure elements, including activities of the public and private services as well as innovative ICT solutions, computer vision, IoT technologies, data tools, cloud services, AR/VR technologies, cybersecurity techniques, treatment solution of the environmental water pollution, and other intelligent devices for supporting sustainable living in the smart environment. The chapters also discuss machine vision models and implementation as well as real-time robotic applications. Upon reading the book, users will be able to handle the challenges and improvements of security for smart systems, and will have the know-how to analyze and visualize data using big data tools and visualization applications. The book will provide the technologies, solutions as well as designs of smart cities with advanced tools and techniques for students, researchers, engineers, and academics.

We are living in a world full of innovations for the elderly and people with special needs to use smart assistive technologies and smart homes to more easily perform activities of daily living, to continue in social participation, to engage in entertainment and leisure activities, and to enjoy living independently. These innovations are inspired by new technologies leveraging all aspects of ambient and pervasive intel- gence with related theories, technologies, methods, applications, and services on ub- uitous, pervasive, AmI, universal, mobile, embedded, wearable, augmented, invisible, hidden, context-aware, calm, amorphous, sentient, proactive, post–PC, everyday, autonomic computing from the engineering, business and organizational perspectives. In the field of smart homes and health telematics, significant research is underway to enable aging and disabled people to use smart assistive technologies and smart homes to foster independent living and to offer them an enhanced quality of life. A smart home is a vision of the future where computers and computing devices will be available naturally and unobtrusively anywhere, anytime, and by different means in our daily living, working, learning, business, and infotainment environments. Such a vision opens tremendous opportunities for numerous novel services/applications that are more immersive, more intelligent, and more interactive in both real and cyber spaces.

This book seeks to identify and to examine factors and mechanisms underlying the growth and development of smart cities. It is commonplace to discuss smart cities through the lens of advances in ICT. The resulting overemphasis on what is technologically possible downplays what is politically, socially and economically feasible. This book, by analysing the smart city through a variety of perspectives, offers a more comprehensive insight into and understanding of the complex and the open-ended nature of the growth and development of a smart city. A solid conceptual framework is developed and employed throughout the chapters, and a selection of case studies from Europe, Asia, and the Arab Peninsula grants the readers a hands-on perspective of the matters discussed. The chapters included in this book address a set of questions, including: How do the twin-processes of digitalization and smartification unfold in the context of the smart city agenda? How do these processes relate to the concepts of smart city 1.0, 2.0., 3.0. and 4.0? In which ways have the spatial aspects of city functioning been influenced by the intrusion of ICT? In which ways do the same processes contribute to the attainment of the UN Sustainable Development Goals (SDGs)? What are the implications of smartification and the emergence of smart organizations (public, private, and voluntary) for the spatial development of smart cities? Do ICT and its application in the city space boost the processes of revitalization and how does ICT influence the process of gentrification? To what extent and how does the intrusion of ICT-enhanced tools and applications in the city space impact on a city’s relationship with its broader territorially defined context? Are the administrative borders and divisions inherent in the fabric of a city becoming less/more porous? How should urban sprawl be conceived in the context of the smart city debate? This book will have a broad appeal to academics, students, and policy makers with interests in urban planning, sustainable development, cities, economics, technology, sociology, urban studies, digitalization, SDGs, wellbeing, and resilience.

Advanced Machine Learning Techniques includes the theoretical foundations of modern machine learning, as well as advanced methods and frameworks used in modern machine learning. Handbook of HydroInformatics, Volume II: Advanced Machine Learning Techniques presents both the art of designing good learning algorithms, as well as the science of analyzing an algorithm's computational and statistical properties and performance guarantees. The global contributors cover theoretical foundational topics such as computational and statistical convergence rates, minimax estimation, and concentration of measure as well as advanced machine learning methods, such as nonparametric density estimation, nonparametric regression, and Bayesian estimation; additionally, advanced frameworks such as privacy, causality, and stochastic learning algorithms are also included. Lastly, the volume presents Cloud and Cluster Computing, Data Fusion Techniques, Empirical Orthogonal Functions and Teleconnection, Internet of Things, Kernel-Based Modeling, Large Eddy Simulation, Patter Recognition, Uncertainty-Based Resiliency Evaluation, and Volume-Based Inverse Mode. This is an interdisciplinary book, and the audience includes postgraduates and early-career researchers interested in: Computer Science, Mathematical Science, Applied Science, Earth and Geoscience, Geography, Civil Engineering, Engineering, Water Science, Atmospheric Science, Social Science, Environment Science, Natural Resources, Chemical Engineering. - Key insights from 24 contributors in the fields of data management research, climate change and resilience, insufficient data problem, etc. - Offers applied examples and case studies in each chapter, providing the reader with real world scenarios for comparison. - Defines both the designing of good learning algorithms, as well as the science of analyzing an algorithm's computational and statistical properties and performance guarantees.

The Smart Sustainability Transformation Playbook aims to demystify the socio-technical systems and processes of sustainability transitions through the study of 12 smart cities — Auckland, Boston, Copenhagen, Gothenburg, Guangzhou, Hangzhou, Medellin, Melbourne, Milan, Seoul, Tokyo, and Vancouver, selected from the IMD-SUTD 2021 Smart City Index. The selection encompasses a range of smart cities and developments on selected critical areas in economic prosperity, social inclusion, and environmental sustainability. The analysis draws on literature review, secondary data, interviews with city officials, and case studies of smart city projects in the 12 cities to better understand how people, organisations, and technologies interact to achieve the city's smart vision for sustainability. Attention is pivoted towards clarifying the characteristics and conditions that help smart cities formulate their visions and strategies on selected issues of economic prosperity, social inclusion, and environmental sustainability; unpacking the processes and outcomes of smart city innovations and transformations with case examples; developing a checklist of critical success factors and pitfalls when implementing smart city innovations; and consolidating a micro-foundation of good practices on success factors and pitfalls in smart city development for long-term change.

Uniquely focused on the contributions smart cities can make to climate change resilience, Urban Climate Adaptation and Mitigation offers evidence-based scientific solutions for improving cities' abilities to prepare for, recover from, and adapt to global climate-related events. Beginning with the observation of global environmental change, this book explores what sustainable smart projects are, how they are adopted and evaluated, and how they can address climate change challenges. It brings together a wide variety of disciplines such as planning, transportation, and waste management to address issues related to climate change adaptation and mitigation in cities.In general, many social science researchers lack cohesive, broad-based literature knowledge; Urban Climate Adaptation and Mitigation bridges this gap and informs different types of stakeholders on how they can enhance their preparation abilities to enable real-time responses and actions. Therefore, it is a valuable reference for researchers, professors, graduate students, city planners, and policy makers. Application-focused throughout, this book explores the complexities of urban systems and subsystems to support researchers, planners, and decision makers in their efforts toward developing more climate-resilient smart cities. - Provides a structured in-depth analysis of smart city cases from around the world - Introduces evidence-based toolkits and frameworks for assessing actual and/or potential contributions of smart city solutions to climate resilience - Includes state-of-the-art literature review and glossary

This book provides a thorough guide to building resilient cities, through the use of smart solutions enabled by information and communication technologies. It introduces innovative approaches for integrating smart solutions into urban resilience planning and offers numerous global case studies to illustrate the benefits of the theories discussed. Against a background of increased natural disasters, pandemics, and climate change, this book answers research questions such as: • Do smart city projects contribute to urban climate resilience? • What are the indicators of smart city resilience? • What procedures should be taken to improve efficacy of smart city solutions? • What are the opportunities and challenges for promoting smart city resilience and for integrating resilience thinking into smart city planning? Including contributions from international experts, explanatory illustrations, and data-driven tables, this book is of interest to researchers, policymakers, and graduate students focused on developing more sustainable, smart, and resilient cities.

This book constitutes the refereed proceedings of the 7th International Conference On Smart Homes and and Health Telematics, ICOST 2009, held in Tours, France, in July 2009. The 27 revised full papers and 20 short papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on cognitive assistance and chronic diseases management; ambient living systems; service continuity and context awareness; user modeling and human-machine interaction; ambient intelligence modeling and privacy issues, human behavior and activities monitoring.