03392nam 22005535 450 991029987300332120200707010533.03-319-67928-710.1007/978-3-319-67928-0(CKB)4100000000881537(DE-He213)978-3-319-67928-0(MiAaPQ)EBC6299003(MiAaPQ)EBC5577612(Au-PeEL)EBL5577612(OCoLC)1066197282(PPN)22012504X(EXLCZ)99410000000088153720171027d2018 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierAI Injected e-Learning The Future of Online Education /by Matthew Montebello1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (XIX, 86 p. 6 illus.) Studies in Computational Intelligence,1860-949X ;7453-319-67927-9 Introduction -- e-Learning so far -- MOOCs, Crowdsourcing and Social Networks -- User Profiling and Personalisation -- Personal Learning Networks, Portfolios and Environments -- Customised e-Learning -- Looking Ahead.This book reviews a blend of artificial intelligence (AI) approaches that can take e-learning to the next level by adding value through customization. It investigates three methods: crowdsourcing via social networks; user profiling through machine learning techniques, and personal learning portfolios using learning analytics. Technology and education have drawn closer together over the years as they complement each other within the domain of e-learning, and different generations of online education reflect the evolution of new technologies as researcher and developers continuously seek to optimize the electronic medium to enhance the effectiveness of e-learning. Artificial intelligence (AI) for e-learning promises personalized online education through a combination of different intelligent techniques that are grounded in established learning theories while at the same time addressing a number of common e-learning issues. This book is intended for education technologists and e-learning researchers as well as for a general readership interested in the evolution of online education based on techniques like machine learning, crowdsourcing, and learner profiling that can be merged to characterize the future of personalized e-learning.Studies in Computational Intelligence,1860-949X ;745Computational intelligenceArtificial intelligenceComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computational intelligence.Artificial intelligence.Computational Intelligence.Artificial Intelligence.371.3344678Montebello Matthewauthttp://id.loc.gov/vocabulary/relators/aut1063951MiAaPQMiAaPQMiAaPQBOOK9910299873003321AI Injected e-Learning2535452UNINA03086nam 2200505 a 450 991043777340332120241003160457.01-299-19791-43-642-35780-610.1007/978-3-642-35780-0(PPN)168329336(OCoLC)826860211(MiFhGG)GVRL6YDU(CKB)2560000000100055(MiAaPQ)EBC1106136(EXLCZ)99256000000010005520121126d2013 uy 0engurun#---uuuuatxtccrTunable multiband ferroelectric devices for reconfigurable RF-frontends /Yuliang Zheng1st ed. 2013.New York Springer20131 online resource (xii, 149 pages) illustrations (some color)Lecture notes in electrical engineering,1876-1100 ;228"ISSN: 1876-1100."3-642-44298-6 3-642-35779-2 Includes bibliographical references.Introduction -- Tunable Microwave Dielectrics -- Processing of Ferroelectric Films and Components -- Novel Multilayer Components on BST Thin-Films -- Summary and Outlook.Reconfigurable RF-frontends aim to cope with the continuous pursuit of wider frequency coverage, higher efficiency, further compactness and lower cost of ownership. They are expected to lay the foundations of future software defined or cognitive radios. As a potential enabling technology for the frontends, the tunable ferroelectric devices have shown not only enhanced performance but also new functionalities. This book explores the recent developments in the field. It provides a cross-sectional perspective on the interdisciplinary research. With attention to the devices based on ceramic thick-films and crystal thin-films, the book reviews the adapted technologies of material synthesis, film deposition and multilayer circuitry. Next, it highlights the original classes of thin-film ferroelectric devices, including stratified metal-insulator-metal varactors with suppression of acoustic resonance and programmable bi-stable high frequency capacitors. At the end the book analyzes how the frontends can be reformed by tunable multiband antennas, tunable single- and multiband impedance matching networks and tunable substrate integrated waveguide filters, which are all built on low cost ferroelectric thick-films. For all the above devices, the theoretical analyses, modeling and design methods are elaborated, while through demonstrative prototypes the application potential is evaluated.Lecture notes in electrical engineering ;v. 228.Ferroelectric devicesFerroelectric devices.621.3Zheng Yuliang1065623MiAaPQMiAaPQMiAaPQBOOK9910437773403321Tunable Multiband Ferroelectric Devices for Reconfigurable RF-Frontends2547216UNINA