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We are living in an age of digital transformation, where internet connectivity is totally transparent for end users. Since the development of internet of things technologies and artificial intelligence algorithms, we have also been experiencing new business models and applications. In Ubiquitous and Pervasive Computing - New Trends and Opportunities, novel concepts and applications in this area are described, and the expectations and challenges of the next ten years are discussed. Individual chapters focus on data science, the internet of things, big data, Industry 4.0, high-performance computing, intelligent applications, and cloud computing environments.
Ubiquitous computing. --- Context-aware computing. --- Context-aware pervasive systems --- Context-awareness (Computer science) --- Ubiquitous computing --- Global system for mobile communications --- Mobile computing --- Sensor networks --- Pervasive computing --- UbiComp (Computer science) --- Electronic data processing --- Embedded computer systems --- Distributed processing
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Autonomous Actors --- Awareness-based Animation --- Context-aware algorithms --- Context-aware computing --- Context-aware control --- Context-aware models --- Context-aware computing --- Context-aware computing. --- Context-aware pervasive systems --- Context-awareness (Computer science) --- Ubiquitous computing --- Global system for mobile communications --- Mobile computing --- Sensor networks --- Computer Science --- context-aware models --- autonomous actors --- awareness based animation --- context aware algoritms --- context aware control --- context aware computing --- Engineering sciences. Technology
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Middleware --- Context-aware computing --- Internet of things --- IoT (Computer networks) --- Things, Internet of --- Computer networks --- Embedded Internet devices --- Machine-to-machine communications --- Context-aware pervasive systems --- Context-awareness (Computer science) --- Ubiquitous computing --- Global system for mobile communications --- Mobile computing --- Sensor networks --- Computer software
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Middleware --- Context-aware computing --- Internet of things --- IoT (Computer networks) --- Things, Internet of --- Computer networks --- Embedded Internet devices --- Machine-to-machine communications --- Context-aware pervasive systems --- Context-awareness (Computer science) --- Ubiquitous computing --- Global system for mobile communications --- Mobile computing --- Sensor networks --- Computer software
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Context-aware systems aim to deliver a rich user experience by taking into account the current user context (location, time, activity, etc.), possibly captured without his intervention. For example, cell phones are now able to continuously update a user’s location while, at the same time, users execute an increasing amount of activities online, where their actions may be easily captured (e.g. login in a web application) without user consent. In the last decade, this topic has seen numerous developments that demonstrate its relevance and usefulness. The trend was accelerated with the widespread availability of powerful mobile devices (e.g. smartphones) that include a myriad of sensors which enable applications to capture the user context. However, there are several challenges that must be addressed; we focus on scalability (large number of context aware messages) and privacy (personal data that may be propagated). This book is organized in five chapters starting with an introduction to the theme raising the most important challenges. Then, chapter two presents several important definitions (establishing a common ground for the following chapters) and taxonomy. These are important to chapter three which describes some of the most relevant distributed context-aware systems that can be classified according to the taxonomy. Privacy is addressed in chapter four and chapter five presents some important conclusions. The audience for this book is wide; researchers, students and professionals interested in the areas addressed will find the most relevant information regarding scalability and privacy in distributed context-aware systems.
Context-aware computing. --- Electronic data processing --- Distributed processing. --- Distributed computer systems in electronic data processing --- Distributed computing --- Distributed processing in electronic data processing --- Computer networks --- Context-aware pervasive systems --- Context-awareness (Computer science) --- Ubiquitous computing --- Global system for mobile communications --- Mobile computing --- Sensor networks --- Computer Communication Networks. --- Computer communication systems. --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Distributed processing
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This book presents current progress on challenges related to Big Data management by focusing on the particular challenges associated with context-aware data-intensive applications and services. The book is a state-of-the-art reference discussing progress made, as well as prompting future directions on the theories, practices, standards and strategies that are related to the emerging computational technologies and their association with supporting the Internet of Things advanced functioning for organizational settings including both business and e-science. Apart from inter-operable and inter-cooperative aspects, the book deals with a notable opportunity namely, the current trend in which a collectively shared and generated content is emerged from Internet end-users. Specifically, the book presents advances on managing and exploiting the vast size of data generated from within the smart environment (i.e. smart cities) towards an integrated, collective intelligence approach. The book also presents methods and practices to improve large storage infrastructures in response to increasing demands of the data intensive applications. The book contains 19 self-contained chapters that were very carefully selected based on peer review by at least two expert and independent reviewers and is organized into the three sections reflecting the general themes of interest to the IoT and Big Data communities: Section I: Foundations and Principles Section II: Advanced Models and Architectures Section III: Advanced Applications and Future Trends The book is intended for researchers interested in joining interdisciplinary and transdisciplinary works in the areas of Smart Environments, Internet of Things and various computational technologies for the purpose of an integrated collective computational intelligence approach into the Big Data era. .
Big data. --- Internet of things. --- Context-aware computing. --- Context-aware pervasive systems --- Context-awareness (Computer science) --- Ubiquitous computing --- Global system for mobile communications --- Mobile computing --- Sensor networks --- IoT (Computer networks) --- Things, Internet of --- Computer networks --- Embedded Internet devices --- Machine-to-machine communications --- Data sets, Large --- Large data sets --- Data sets --- Engineering. --- Artificial intelligence. --- Computational Intelligence. --- Artificial Intelligence. --- Construction --- Industrial arts --- Technology --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Computational intelligence. --- Intelligence, Computational --- Artificial intelligence --- Soft computing
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This Springer Brief presents a comprehensive survey of the existing methodologies of background subtraction methods. It presents a framework for quantitative performance evaluation of different approaches and summarizes the public databases available for research purposes. This well-known methodology has applications in moving object detection from video captured with a stationery camera, separating foreground and background objects and object classification and recognition. The authors identify common challenges faced by researchers including gradual or sudden illumination change, dynamic backgrounds and shadow and ghost regions. This brief concludes with predictions on the future scope of the methods. Clear and concise, this brief equips readers to determine the most effective background subtraction method for a particular project. It is a useful resource for professionals and researchers working in this field.
Computer vision --- Context-aware computing --- Pattern recognition systems --- Methodology. --- Data processing. --- Pattern classification systems --- Pattern recognition computers --- Pattern perception --- Context-aware pervasive systems --- Context-awareness (Computer science) --- Ubiquitous computing --- Global system for mobile communications --- Mobile computing --- Sensor networks --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Computer vision. --- Multimedia systems. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Image Processing and Computer Vision. --- Multimedia Information Systems. --- Computer-based multimedia information systems --- Multimedia computing --- Multimedia information systems --- Multimedia knowledge systems --- Information storage and retrieval systems --- Optical data processing. --- Multimedia information systems. --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment
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Realizing the growing importance of semantic adaptation and personalization of media, the editors of this book brought together leading researchers and practitioners of the field to discuss the state-of-the-art, and explore emerging exciting developments. This volume comprises extended versions of selected papers presented at the 1st International Workshop on Semantic Media Adaptation and Personalization (SMAP 2006), which took place in Athens in December 2006.
Semantic Web --- Multimedia systems --- Web personalization --- Web sémantique --- Multimédia --- Computer science. --- Artificial intelligence. --- Applied mathematics. --- Engineering mathematics. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Appl.Mathematics/Computational Methods of Engineering. --- Semantic Web. --- Multimedia systems. --- Web personalization. --- Personalization (Web site design) --- Computer-based multimedia information systems --- Multimedia computing --- Multimedia information systems --- Multimedia knowledge systems --- Engineering --- Engineering analysis --- Mathematical analysis --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Informatics --- Science --- Mathematics --- Web sites --- Semantic integration (Computer systems) --- Semantic networks (Information theory) --- World Wide Web --- Microformats --- Information storage and retrieval systems --- Design --- Artificial Intelligence. --- Mathematical and Computational Engineering. --- Context-aware computing. --- Context-aware pervasive systems --- Context-awareness (Computer science) --- Ubiquitous computing --- Global system for mobile communications --- Mobile computing --- Sensor networks
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This book aims to deconstruct ethnography to alert systems designers, and other stakeholders, to the issues presented by new approaches that move beyond the studies of ‘work’ and ‘work practice’ within the social sciences (in particular anthropology and sociology). The theoretical and methodological apparatus of the social sciences distort the social and cultural world as lived in and understood by ordinary members, whose common-sense understandings shape the actual milieu into which systems are placed and used. In Deconstructing Ethnography the authors show how ‘new’ calls are returning systems design to ‘old’ and problematic ways of understanding the social. They argue that systems design can be appropriately grounded in the social through the ordinary methods that members use to order their actions and interactions. This work is written for post-graduate students and researchers alike, as well as design practitioners who have an interest in bringing the social to bear on design in a systematic rather than a piecemeal way. This is not a ‘how to’ book, but instead elaborates the foundations upon which the social can be systematically built into the design of ubiquitous and interactive systems.
Computer Science --- Engineering & Applied Sciences --- Ubiquitous computing. --- Context-aware computing. --- Human-computer interaction. --- Computer-human interaction --- Human factors in computing systems --- Interaction, Human-computer --- Context-aware pervasive systems --- Context-awareness (Computer science) --- Pervasive computing --- UbiComp (Computer science) --- Computer science. --- User interfaces (Computer systems). --- Application software. --- Social sciences. --- Computer Science. --- User Interfaces and Human Computer Interaction. --- Methodology of the Social Sciences. --- Computer Appl. in Social and Behavioral Sciences. --- Human engineering --- User-centered system design --- User interfaces (Computer systems) --- Ubiquitous computing --- Global system for mobile communications --- Mobile computing --- Sensor networks --- Electronic data processing --- Embedded computer systems --- Distributed processing --- Social sciences --- Methodology. --- Data processing. --- Informatics --- Science --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Sociology --- Sociological Methods. --- Computer Application in Social and Behavioral Sciences.
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The importance of context in computer science has increased in recent decades as computers have become ever more pervasive in everyday life. Context awareness – the idea that computers can sense and react to a user's situation – has been a popular research topic for a number of years. Its appeal lies in a variety of areas, notably through making users' lives easier by relieving task burden, such as when searching for nearby shops, restaurants or transportation links. One of the most ubiquitous tools in the progress of context awareness has been the mobile device; its enormous popularity and permeation into daily life – coupled with increasingly sophisticated hardware – has greatly improved the potential for context awareness in the world. The very mobility of these devices is key to the idea of mobile context awareness, where the sensing and reacting is enabled by, and even conducted upon, the device itself. The motivation behind this book is threefold: to explore the capabilities, challenges, and applications of mobile context awareness. In addition to the mobility that smartphones and similar devices bring to context awareness, we explore the capabilities that these mobile devices offer, the problems or challenges that they might introduce, and the applications and use cases for which mobile devices play a key part. With contributions from both academia and industry experts, Mobile Context Awareness serves as a collection of research around these important topics, providing an interesting, informative and comprehensive overview of the subject at present, as well as insights into the future developments of the field.
Cell phones. --- Computer science. --- Context-aware computing. --- Mobile computing. --- Pocket computers. --- Social sciences_xData processing. --- Context-aware computing --- Mobile computing --- Pocket computers --- Cell phones --- Engineering & Applied Sciences --- Computer Science --- Context-aware pervasive systems --- Context-awareness (Computer science) --- User interfaces (Computer systems). --- Application software. --- Computers and civilization. --- Personal computers. --- Computer Science. --- User Interfaces and Human Computer Interaction. --- Computer Appl. in Social and Behavioral Sciences. --- Computers and Society. --- Personal Computing. --- Electronic data processing --- Portable computers --- Ubiquitous computing --- Global system for mobile communications --- Sensor networks --- Social sciences --- Data processing. --- Informatics --- Science --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Civilization and computers --- Civilization --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Home computers --- Micro computers --- Micros (Microcomputers) --- PCs (Microcomputers) --- Personal computers --- Small computers --- Minicomputers --- Social sciences -- Data processing.