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The book first defines the problems, various concepts and notions related to activity recognition, and introduces the fundamental rationale and state-of-the-art methodologies and approaches. It then describes the use of artificial intelligence techniques and advanced knowledge technologies for the modelling and lifecycle analysis of human activities and behaviours based on real-time sensing observations from sensor networks and the Internet of Things. It also covers inference and decision-support methods and mechanisms, as well as personalization and adaptation techniques, which are required for emerging smart human-machine pervasive systems, such as self-management and assistive technologies in smart healthcare. Each chapter includes theoretical background, technological underpinnings and practical implementation, and step-by-step information on how to address and solve specific problems in topical areas. This monograph can be used as a textbook for postgraduate and PhD students on courses such as computer systems, pervasive computing, data analytics and digital health. It is also a valuable research reference resource for postdoctoral candidates and academics in relevant research and application domains, such as data analytics, smart cities, smart energy, and smart healthcare, to name but a few. Moreover, it offers smart technology and application developers practical insights into the use of activity recognition and behaviour analysis in state-of-the-art cyber-physical systems. Lastly, it provides healthcare solution developers and providers with information about the opportunities and possible innovative solutions for personalized healthcare and stratified medicine.

Optical pattern recognition. --- Social sciences --- Computer Communication Networks. --- Big data. --- Data transmission systems. --- Pattern Recognition. --- Computer Appl. in Social and Behavioral Sciences. --- Information Systems Applications (incl. Internet). --- Big Data/Analytics. --- Input/Output and Data Communications. --- Data processing. --- Data communication systems --- Transmission of data --- Digital communications --- Electronic data processing --- Electronic systems --- Information theory --- Telecommunication systems --- Data sets, Large --- Large data sets --- Data sets --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Pattern recognition. --- Application software. --- Computer communication systems. --- Input-output equipment (Computers). --- Computer hardware --- Computer I/O equipment --- Computers --- Electronic analog computers --- Electronic digital computers --- Hardware, Computer --- I/O equipment (Computers) --- Input equipment (Computers) --- Input-output equipment (Computers) --- Output equipment (Computers) --- Computer systems --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Input-output equipment --- Distributed processing

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The book Intelligent Systems for Science and Information is the remarkable collection of extended chapters from the selected papers that were published in the proceedings of Science and Information (SAI) Conference 2013. It contains twenty-four chapters in the field of Intelligent Systems, which received highly recommended feedback during SAI Conference 2013 review process. All chapters have gone through substantial extension and consolidation and were subject to another round of rigorous review and additional modification. These chapters represent the state of the art of the cutting-edge research and technologies in related areas, and can help inform relevant research communities and individuals of the future development in Science and Information.    .

Engineering. --- Artificial intelligence. --- Computational Intelligence. --- Artificial Intelligence (incl. Robotics). --- Engineering & Applied Sciences --- Computer Science --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Construction --- Computational intelligence. --- Artificial intelligence --- Computer science --- Artificial Intelligence. --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Industrial arts --- Technology --- Intelligence, Computational --- Soft computing

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The book Intelligent Systems for Science and Information is the remarkable collection of extended chapters from the selected papers that were published in the proceedings of Science and Information (SAI) Conference 2013. It contains twenty-four chapters in the field of Intelligent Systems, which received highly recommended feedback during SAI Conference 2013 review process. All chapters have gone through substantial extension and consolidation and were subject to another round of rigorous review and additional modification. These chapters represent the state of the art of the cutting-edge research and technologies in related areas, and can help inform relevant research communities and individuals of the future development in Science and Information.    .

Applied physical engineering --- Artificial intelligence. Robotics. Simulation. Graphics --- neuronale netwerken --- fuzzy logic --- cybernetica --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen --- robots

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This paper examines the relationship between urban agglomeration and firm innovation using a recently developed dataset that consistently measures city boundaries across Asia together with geo-referenced firm-level data. It finds that the spatial distribution of innovation by firms is highly concentrated within countries. Further, firms in larger cities have substantially higher propensities to introduce product and process innovations and undertake R and D activities, a result that holds for subgroups of countries and even when the largest cities are excluded from the analysis. Finally, the presence of high quality universities and highly ranked engineering departments in cities is positively associated with firm innovation, lending support to the idea that the accumulation of human capital locally is a key channel through which urban agglomeration affects innovation.

Agglomeration Economies --- Firm Innovation --- Innovation --- Knowledge Spillovers --- Private Sector Development --- Private Sector Economics --- Research and Development --- Science and Technology Development --- Urban Development --- Urban Economic Development

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This book consists of a number of chapters addressing different aspects of activity recognition, roughly in three main categories of topics. The first topic will be focused on activity modeling, representation and reasoning using mathematical models, knowledge representation formalisms and AI techniques. The second topic will concentrate on activity recognition methods and algorithms. Apart from traditional methods based on data mining and machine learning, we are particularly interested in novel approaches, such as the ontology-based approach, that facilitate data integration, sharing and automatic/automated processing. In the third topic we intend to cover novel architectures and frameworks for activity recognition, which are scalable and applicable to large scale distributed dynamic environments. In addition, this topic will also include the underpinning technological infrastructure, i.e. tools and APIs, that supports function/capability sharing and reuse, and rapid development and deployment of technological solutions. The fourth category of topic will be dedicated to representative applications of activity recognition in intelligent environments, which address the life cycle of activity recognition and their use for novel functions of the end-user systems with comprehensive implementation, prototyping and evaluation. This will include a wide range of application scenarios, such as smart homes, intelligent conference venues and cars.

Artificial intelligence. --- Engineering & Applied Sciences --- Computer Science --- Ubiquitous computing. --- Computers. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Pervasive computing --- UbiComp (Computer science) --- Computer science. --- Computer graphics. --- Image processing. --- Computer Science. --- Information Systems Applications (incl. Internet). --- Image Processing and Computer Vision. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Electronic data processing --- Embedded computer systems --- Distributed processing --- Computer vision. --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Application software. --- Optical data processing. --- Optical computing --- Visual data processing --- Bionics --- Integrated optics --- Photonics --- Computers --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Optical equipment