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000779754 019__ $$a974463720$$a974556635
000779754 020__ $$a9783319516554$$q(electronic book)
000779754 020__ $$a3319516558$$q(electronic book)
000779754 020__ $$z9783319516547
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000779754 0247_ $$a10.1007/978-3-319-51655-4$$2doi
000779754 035__ $$aSP(OCoLC)ocn973880177
000779754 035__ $$aSP(OCoLC)973880177$$z(OCoLC)974463720$$z(OCoLC)974556635
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000779754 050_4 $$aQA76.5915
000779754 08204 $$a004$$223
000779754 1001_ $$aCividjian, Natalia,$$d1967-$$eauthor.
000779754 24510 $$aPervasive computing :$$bengineering smart systems /$$cNatalia Silvis-Cividjian.
000779754 264_1 $$aCham, Switzerland :$$bSpringer,$$c2017.
000779754 300__ $$a1 online resource (xviii, 210 pages) :$$billustrations.
000779754 336__ $$atext$$btxt$$2rdacontent
000779754 337__ $$acomputer$$bc$$2rdamedia
000779754 338__ $$aonline resource$$bcr$$2rdacarrier
000779754 4901_ $$aUndergraduate topics in computer science,$$x1863-7310
000779754 504__ $$aIncludes bibliographical references and index.
000779754 5050_ $$aForeword -- Preface -- Introduction -- Signals -- Control Systems -- Image Processing -- Sound Processing -- Classification -- Systems Engineering -- Appendix A: Getting started with signals using MATLAB -- Appendix B: Simple traffic-light recognition using MATLAB.
000779754 506__ $$aAccess limited to authorized users.
000779754 520__ $$aThis book provides a concise introduction to Pervasive Computing, otherwise known as Internet of Things (IoT) and Ubiquitous Computing (Ubicomp) which addresses the seamless integration of computing systems within everyday objects. By introducing the core topics and exploring assistive pervasive systems which infer their context through pattern recognition, the author provides readers with a gentle yet robust foundation of knowledge to this growing field of research. The author explores a range of topics including data acquisition, signal processing, control theory, machine learning and system engineering explaining, with the use of simple mathematical concepts, the core principles underlying pervasive computing systems. Real-life examples are applied throughout, including self-driving cars, automatic insulin pumps, smart homes, and social robotic companions with each chapter accompanied by a set of exercises for the reader. Practical tutorials are also available to guide enthusiastic readers through the process of building a smart system using cameras, microphones and robotic kits. Due to the power of MATLABTM, this can be achieved with no previous programming or robotics experience. Although Pervasive Computing is primarily for undergraduate students, the book is accessible to a wider audience of researchers and designers who are interested in exploring pervasive computing further.
000779754 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 27, 2017).
000779754 650_0 $$aUbiquitous computing.
000779754 650_0 $$aInternet of things.
000779754 77608 $$iPrint version:$$z331951654X$$z9783319516547$$w(OCoLC)964644615
000779754 830_0 $$aUndergraduate topics in computer science.
000779754 852__ $$bebk
000779754 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-51655-4$$zOnline Access$$91397441.1
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000779754 980__ $$aBIB
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