Smart technologies have advanced rapidly throughout our society (e.g. smart energy, smart health, smart living, smart cities, smart environment, and smart society) and across geographic spaces and places. Behind these "smart" developments are a number of seminal drivers, such as social media (e.g. Twitter), sensors (drones, wearables), smartphone apps, and computing infrastructure (e.g. cloud computing). These developments have captured the enthusiasm of the public, while inevitably present unprecedented challenges and opportunities for the geographic research community. When meeting the smart challenges, are there emerging theories, methods, and observations that reveal new spatial phenomena, produce new knowledge, and foster new policies? Smart Spaces and Places addresses questions such as how to make spaces and places "smart", how the "smartness" affects the way we think spaces and places, and what role geographies play in knowledge production and decision-making in a "smart" era. The collection of 21 chapters offers stimulating discussion over the meaning of spaces, places, and smartness; scientific insights into smartness; social-political views of smartness; and policy implications of smartness. The chapters in this book were originally published as a special issue of Annals of the American Association of Geographers.

Smart technologies have advanced rapidly throughout our society (e.g. smart energy, smart health, smart living, smart cities, smart environment, and smart society) and across geographic spaces and places. Behind these "smart" developments are a number of seminal drivers, such as social media (e.g. Twitter), sensors (drones, wearables), smartphone apps, and computing infrastructure (e.g. cloud computing). These developments have captured the enthusiasm of the public, while inevitably present unprecedented challenges and opportunities for the geographic research community. When meeting the smart challenges, are there emerging theories, methods, and observations that reveal new spatial phenomena, produce new knowledge, and foster new policies? Smart Spaces and Places addresses questions such as how to make spaces and places "smart", how the "smartness" affects the way we think spaces and places, and what role geographies play in knowledge production and decision-making in a "smart" era. The collection of 21 chapters offers stimulating discussion over the meaning of spaces, places, and smartness; scientific insights into smartness; social-political views of smartness; and policy implications of smartness. The chapters in this book were originally published as a special issue of Annals of the American Association of Geographers.

Smart Spaces combines the study of working or living spaces with computing, information equipment, and multimodal sensing devices, and with natural and convenient interactive interfaces to support how people can easily obtain services from computer systems. People's work and life in smart spaces use computer systems; it is a process of uninterrupted interaction between people and the computer system. In this process, the computer is no longer just an information processing tool that passively executes explicit human operation commands but a collaborator with people to complete tasks – a partner to human beings. International research on smart spaces is quite extensive, which shows the important role of smart spaces in ubiquitous computing research. Smart Spaces covers the latest research concepts and technologies of smart spaces, providing technical personnel engaged in smart space related research and industries a more in-depth understanding of smart spaces. This book can be used as a reference for practicing the emerging discipline of Smart Spaces, and will be useful for researchers, scientists, developers, practitioners, and graduate students working in the fields of smart spaces and artificial intelligence. - Comprehensively introduces smart spaces, from basic concepts, core technologies, technical architecture, application scenarios, and other aspects - Covers the latest cutting-edge application technology of smart spaces in various fields, providing relevant practitioners with ideas to solve problems and have a deeper understanding of smart spaces - Serves as teaching material or as a reference for teachers and students of interaction design, internet of things, ubiquitous and pervasive computing, and artificial intelligence - Gives a detailed introduction to the theory of Smart Spaces and uses mathematical formulas

This book constitutes the joint refereed proceedings of the 12 International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networking, NEW2AN, and the 5th Conference on Internet of Things and Smart Spaces, ruSMART 2012, held in St. Petersburg, Russia, in August 2012. The total of 42 papers was carefully reviewed and selected for inclusion in this book. The 14 papers selected from ruSMART are organized in topical sections named: defining an internet-of-things ecosystem; future services; and smart space governing through service mashups. The 28 papers from NEW2AN deal with the following topics: wireless cellular networks; ad-hoc, mesh, and delay-tolerant networks; scalability, cognition, and self-organization; traffic and internet applications; and wireless sensor networks. They also contain 4 selected papers from the NEW2AN 2012 winter session.

A bold reassessment of "smart cities" that reveals what is lost when we conceive of our urban spaces as computers Computational models of urbanism—smart cities that use data-driven planning and algorithmic administration—promise to deliver new urban efficiencies and conveniences. Yet these models limit our understanding of what we can know about a city. A City Is Not a Computer reveals how cities encompass myriad forms of local and indigenous intelligences and knowledge institutions, arguing that these resources are a vital supplement and corrective to increasingly prevalent algorithmic models. Shannon Mattern begins by examining the ethical and ontological implications of urban technologies and computational models, discussing how they shape and in many cases profoundly limit our engagement with cities. She looks at the methods and underlying assumptions of data-driven urbanism, and demonstrates how the "city-as-computer" metaphor, which undergirds much of today's urban policy and design, reduces place-based knowledge to information processing. Mattern then imagines how we might sustain institutions and infrastructures that constitute more diverse, open, inclusive urban forms. She shows how the public library functions as a steward of urban intelligence, and describes the scales of upkeep needed to sustain a city's many moving parts, from spinning hard drives to bridge repairs. Incorporating insights from urban studies, data science, and media and information studies, A City Is Not a Computer offers a visionary new approach to urban planning and design.

One of the major limitations of the Ambient Intelligent Systems today is the lack of semantic models of those activities on the environment, so that the system can recognize the specific activity being performed by the user(s) and act accordingly. In this context, this thesis addresses the general problem of knowledge representation in Smart Spaces. The main objective is to develop knowledge-based models, equipped with semantics to learn, infer and monitor human behaviours in Smart Spaces. Moreover, it is easy to recognize that some aspects of this problem have a high degree of uncertainty, and therefore, the developed models must be equipped with mechanisms to manage this type of information. As an added value, this system should be sufficiently simple and flexible to be managed by non-expert users, and thus, facilitate the transfer of research to industry. To do this, we develop graphical models to represent human behaviour in Smart Spaces, in order to provide them with more usability in the final application. As a result, human behaviour recognition can help assisting people with special needs such as independent elders, in remote rehabilitation monitoring, industrial process guidelines, and many other cases.

This book constitutes the joint refereed proceedings of the 14th International Conference on Next Generation Wired/Wireless Advanced Networks and Systems, NEW2AN 2014, and the 7th Conference on Internet of Things and Smart Spaces, ruSMART 2014, held in St. Petersburg, Russia, in August 2014. The total of 67 papers was carefully reviewed and selected for inclusion in this book. The 15 papers selected from ruSMART are organized in topical sections named: smart spaces core technologies, smart spaces for geo-location and e-tourism apps, smart space supporting technologies, and video solutions for smart spaces. The 52 papers from NEW2AN deal with the following topics: advances in wireless networking, ad hoc networks and enhanced services, sensor- and machine-type communication, networking architectures and their modeling, traffic analysis and prediction, analytical methods for performance evaluation, materials for future communications, generation and analysis of signals, business aspects of networking, progress on upper layers and implementations, modeling methods and tools, techniques, algorithms, and control problems, photonics and optics, and signals and their processing.