LEADER 03565nam 2200673 a 450 001 9910779096203321 005 20230126202744.0 010 $a1-118-23965-2 010 $a1-280-59197-8 010 $a9786613621801 010 $a1-118-22633-X 035 $a(CKB)2550000000082763 035 $a(EBL)818121 035 $a(OCoLC)775301841 035 $a(SSID)ssj0000623437 035 $a(PQKBManifestationID)11427726 035 $a(PQKBTitleCode)TC0000623437 035 $a(PQKBWorkID)10665868 035 $a(PQKB)11727105 035 $a(Au-PeEL)EBL818121 035 $a(CaPaEBR)ebr10531498 035 $a(CaONFJC)MIL362180 035 $a(OCoLC)785779944 035 $a(CaSebORM)9781118167465 035 $a(MiAaPQ)EBC818121 035 $a(EXLCZ)992550000000082763 100 $a20120309d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aSocial TV$b[electronic resource] $ehow marketers can reach and engage audiences by connecting television to the web, social media, and mobile /$fMike Proulx, Stacey Shepatin 205 $a1st edition 210 $aHoboken, N.J. $cJohn Wiley & Sons$d2012 215 $a1 online resource (290 p.) 300 $aIncludes index. 311 $a1-118-16746-5 320 $aIncludes bibliographical references (p. 245-258) and index. 327 $aSocial TV: how marketers can reach and engage audiences by connecting television to the web, social media, and mobile; Contents; Preface; Acknowledgments; About the Authors; Introduction; 1: The Backchannel: Bringing the Social Conversation to the Forefront; 2: Social TV Guides: Curating Social Media for Content Discovery; 3: TV Check-In Services: Creating Vertical Social Networks around Television; 4: The Second Screen: Enhancing TV with Synched Content Experiences; 5: Social TV Ratings: Adding a New Dimension to Television Audience Measurement 327 $a6: Bridge Content: Driving Engagement In-Between Episode Airings7: Audience Addressability: Using Online and Direct Mail Targeting Practices on TV; 8: TV Everywhere: Watching TV Content Whenever and Wherever; 9: Connected TVs: Blending Online Content with Television Content; 10: Conclusion (for Now): Connecting the Dots; 11: To Be Continued . . .: Filling in the Gaps; Notes; Index 330 $aThe Internet didn't kill TV! It has become its best friend. Americans are watching more television than ever before, and we're engaging online at the same time we're tuning in. Social media has created a new and powerful "backchannel", fueling the renaissance of live broadcasts. Mobile and tablet devices allow us to watch and experience television whenever and wherever we want. And "connected TVs" blend web and television content into a unified big screen experience bringing us back into our living rooms. Social TV examines the changing (and complex) television landscape and helps brands navig 606 $aTelevision programs$xInternet marketing 606 $aOnline social networks 606 $aTelevision programs$xSocial aspects 615 0$aTelevision programs$xInternet marketing. 615 0$aOnline social networks. 615 0$aTelevision programs$xSocial aspects. 676 $a658.872 676 $a659.02854678 700 $aProulx$b Mike$01570821 701 $aShepatin$b Stacey$01570822 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910779096203321 996 $aSocial TV$93844738 997 $aUNINA LEADER 04933nam 22007695 450 001 9910299844303321 005 20230118152953.0 010 $a3-319-11860-9 024 7 $a10.1007/978-3-319-11860-4 035 $a(CKB)3710000000277524 035 $a(EBL)1965260 035 $a(SSID)ssj0001386206 035 $a(PQKBManifestationID)11766738 035 $a(PQKBTitleCode)TC0001386206 035 $a(PQKBWorkID)11349344 035 $a(PQKB)10646742 035 $a(DE-He213)978-3-319-11860-4 035 $a(MiAaPQ)EBC1965260 035 $a(PPN)183089596 035 $a(EXLCZ)993710000000277524 100 $a20141104d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBond Graph Model-based Fault Diagnosis of Hybrid Systems /$fby Wolfgang Borutzky 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (283 p.) 300 $aDescription based upon print version of record. 311 1 $a3-319-11859-5 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aIntroduction -- Bond Graph Representations of Hybrid System Models -- Structural Control Properties of Switched LTI Systems -- Bond Graph Model-based Quantitative FDI in Hybrid Systems -- Parameter Uncertainties -- Isolation of Multiple Parametric Faults from a Hybrid Model -- ARR based System Mode Identification -- Applications -- Failure Prognosis for Hybrid Systems Based on ARR Residuals -- Overall Conclusion and Discussion. 330 $aThis book presents a bond graph model-based approach to fault diagnosis in mechatronic systems appropriately represented by a hybrid model. The book begins by giving a survey of the fundamentals of fault diagnosis and failure prognosis, then recalls state-of-art developments referring to latest publications, and goes on to discuss various bond graph representations of hybrid system models, equations formulation for switched systems, and simulation of their dynamic behavior. The structured text: ? focuses on bond graph model-based fault detection and isolation in hybrid systems; ? addresses isolation of multiple parametric faults in hybrid systems; ? considers system mode identification; ? provides a number of elaborated case studies that consider fault scenarios for switched power electronic systems commonly used in a variety of applications; and ? indicates that bond graph modelling can also be used for failure prognosis. In order to facilitate the understanding of fault diagnosis and the presented bond graph model-based approach to fault diagnosis in hybrid systems, three appendices cover the required notions, definitions, a short introduction into bond graph modelling, and some mathematical background. Bond Graph Model-based Fault Diagnosis in Hybrid Systems may be used in courses on fault diagnosis, as a supplementary text for advanced courses in modelling, simulation, and control, as well as for self-studies and as a reference. It has been designed to serve readers in academia and in industry concerned with fault diagnosis who might be interested to see how a graphical methodology such as bond graph modelling can support quantitative model-based fault diagnosis of engineering systems represented by a hybrid model. 606 $aRobotics 606 $aAutomation 606 $aComputer simulation 606 $aElectrical engineering 606 $aAutomatic control 606 $aMechatronics 606 $aRobotics and Automation$3https://scigraph.springernature.com/ontologies/product-market-codes/T19020 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 606 $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035 606 $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010 606 $aMechatronics$3https://scigraph.springernature.com/ontologies/product-market-codes/T19030 615 0$aRobotics. 615 0$aAutomation. 615 0$aComputer simulation. 615 0$aElectrical engineering. 615 0$aAutomatic control. 615 0$aMechatronics. 615 14$aRobotics and Automation. 615 24$aSimulation and Modeling. 615 24$aCommunications Engineering, Networks. 615 24$aControl and Systems Theory. 615 24$aMechatronics. 676 $a003.3 676 $a620 676 $a621.382 676 $a629.8 676 $a629.892 700 $aBorutzky$b Wolfgang$4aut$4http://id.loc.gov/vocabulary/relators/aut$0720789 906 $aBOOK 912 $a9910299844303321 996 $aBond Graph Model-based Fault Diagnosis of Hybrid Systems$91412286 997 $aUNINA