01230nam0-2200397---450 99000573486020331620190403125013.0000573486USA01000573486(ALEPH)000573486USA0100057348620080111d1976----|||y0itaa50------bagerde0 00|||Sozialismus und deutsche Sozialdemokratiezur Ideologie der Partei vor dem 1. WeltkriegHans-Josef Steinberg4. AuflBerlinDietz Nachf.c1976174 p.20 cm.Internationale Bibliothek992001Internationale Bibliothek99SocialdemocraziaOrganizzazioneGermania1860-1914FBERLIN320.5315STEINBERG,Hans-Josef246722ITSA20111219990005734860203316Dipar.to di Filosofia - SalernoDFCC 320.5315 STE719 FILCC 320.5315 STE719 FILBKFIL20121027USA01152620121027USA011615Sozialismus und deutsche Sozialdemokratie1082993UNISASA002321805455nam 2200685Ia 450 991101999790332120200520144314.0978661073948697812807394841280739487978047002157604700215789780470021569047002156X(CKB)1000000000357238(EBL)284438(OCoLC)476034422(SSID)ssj0000249992(PQKBManifestationID)11194170(PQKBTitleCode)TC0000249992(PQKBWorkID)10231045(PQKB)10938282(MiAaPQ)EBC284438(Perlego)2775800(EXLCZ)99100000000035723820050215d2005 uy 0engur|n|---|||||txtccrSpoken, multilingual and multimodal dialogue systems development and assessment /Ramon Lopez-Cozar Delgado, Masahiro ArakiChichester, England ;Hoboken, NJ John Wileyc20051 online resource (273 p.)Description based upon print version of record.9780470021552 0470021551 Includes bibliographical references (p. [239]-252) and index.Includes web resources.Spoken, Multilingual and Multimodal Dialogue Systems; Contents; Preface; 1 Introduction to Dialogue Systems; 1.1 Human-Computer Interaction and Speech Processing; 1.2 Spoken Dialogue Systems; 1.2.1 Technological Precedents; 1.3 Multimodal Dialogue Systems; 1.4 Multilingual Dialogue Systems; 1.5 Dialogue Systems Referenced in This Book; 1.6 Area Organisation and Research Directions; 1.7 Overview of the Book; 1.8 Further Reading; 2 Technologies Employed to Set Up Dialogue Systems; 2.1 Input Interface; 2.1.1 Automatic Speech Recognition; 2.1.2 Natural Language Processing2.1.3 Face Localisation and Tracking2.1.4 Gaze Tracking; 2.1.5 Lip-reading Recognition; 2.1.6 Gesture Recognition; 2.1.7 Handwriting Recognition; 2.2 Multimodal Processing; 2.2.1 Multimodal Data Fusion; 2.2.2 Multimodal Data Storage; 2.2.3 Dialogue Management; 2.2.4 Task Module; 2.2.5 Database Module; 2.2.6 Response Generation; 2.3 Output Interface; 2.3.1 Graphic Generation; 2.3.2 Natural Language Generation; 2.3.3 Speech Synthesis; 2.3.4 Sound Generation; 2.3.5 Tactile/Haptic Generation; 2.4 Summary; 2.5 Further Reading; 3 Multimodal Dialogue Systems; 3.1 Benefits of Multimodal Interaction3.1.1 In Terms of System Input3.1.2 In Terms of System Processing; 3.1.3 In Terms of System Output; 3.2 Development of Multimodal Dialogue Systems; 3.2.1 Development Techniques; 3.2.2 Data Fusion; 3.2.3 Architectures of Multimodal Systems; 3.2.4 Animated Agents; 3.2.5 Research Trends; 3.3 Summary; 3.4 Further Reading; 4 Multilingual Dialogue Systems; 4.1 Implications of Multilinguality in the Architecture of Dialogue Systems; 4.1.1 Consideration of Alternatives in Multilingual Dialogue Systems; 4.1.2 Interlingua Approach; 4.1.3 Semantic Frame Conversion Approach4.1.4 Dialogue-Control Centred Approach4.2 Multilingual Dialogue Systems Based on Interlingua; 4.2.1 MIT Voyager System; 4.2.2 MIT Jupiter System; 4.2.3 KIT System; 4.3 Multilingual Dialogue Systems Based on Web Applications; 4.3.1 Requirements for Practical Multilingual Dialogue Systems; 4.3.2 Dialogue Systems Based on Web Applications; 4.3.3 Multilingual Dialogue Systems Based on the MVC Framework; 4.3.4 Implementation of Multilingual Voice Portals; 4.4 Summary; 4.5 Further Reading; 5 Dialogue Annotation, Modelling and Management; 5.1 Dialogue Annotation5.1.1 Annotation of Spoken Dialogue Corpora5.1.2 Annotation of Multimodal Dialogue Corpora; 5.2 Dialogue Modelling; 5.2.1 State-Transition Networks; 5.2.2 Plans; 5.3 Dialogue Management; 5.3.1 Interaction Strategies; 5.3.2 Confirmation Strategies; 5.4 Implications of Multimodality in the Dialogue Management; 5.4.1 Interaction Complexity; 5.4.2 Confirmations; 5.4.3 Social and Emotional Dialogue; 5.4.4 Contextual Information; 5.4.5 User References; 5.4.6 Response Generation; 5.5 Implications of Multilinguality in the Dialogue Management5.5.1 Reference Resolution in Multilingual Dialogue SystemsDialogue systems are a very appealing technology with an extraordinary future. Spoken, Multilingual and Multimodal Dialogues Systems: Development and Assessment addresses the great demand for information about the development of advanced dialogue systems combining speech with other modalities under a multilingual framework. It aims to give a systematic overview of dialogue systems and recent advances in the practical application of spoken dialogue systems. Spoken Dialogue Systems are computer-based systems developed to provide information and carry out simple tasks using speech as theSpeech processing systemsMultilingual computingSpeech processing systems.Multilingual computing.006.54Lopez-Cozar Delgado Ramon1761294Araki Masahiro1837884MiAaPQMiAaPQMiAaPQBOOK9911019997903321Spoken, multilingual and multimodal dialogue systems4416735UNINA05354nam 22005533 450 991102019070332120230728080304.09781394229635139422963197813942296111394229615(MiAaPQ)EBC7275472(Au-PeEL)EBL7275472(OCoLC)1430211424(OCoLC-P)1430211424(CaSebORM)9781786308252(CKB)27861007800041(Perlego)4195923(OCoLC)1391443098(EXLCZ)992786100780004120230728d2023 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierIGA1st ed.Newark :John Wiley & Sons, Incorporated,2023.©2023.1 online resource (230 pages)Print version: Bouclier, Robin IGA: Non-Invasive Coupling with FEM and Regularization of Digital Image Correlation Problems, Volume 2 Newark : John Wiley & Sons, Incorporated,c2023 9781786308252 Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1. IGA: A Projection of FEM onto a Powerful Reduced Basis -- 1.1. Introduction -- 1.2. Some necessary elements for B-spline andNURBS-based IGA -- 1.2.1.B-spline andNURBS basics -- 1.2.2. k-refinement: increasing both the polynomial degree and the regularity -- 1.2.3. The trimming concept and analysis-suitable model issue -- 1.3.The link between IGAandFEM -- 1.3.1.TheBézier extraction -- 1.3.2.TheLagrangeextraction -- 1.3.3.The extractionin case ofNURBS -- 1.4. Non-invasive implementation using a global bridge between IGA andFEM -- 1.4.1.The commonpractice -- 1.4.2. A fully non-invasive implementation scheme -- 1.5.Numerical experiments -- 1.5.1. Simple but illustrative examples -- 1.5.2. An example of non-invasive nonlinear isogeometric analysis -- 1.6.Summaryand discussion -- 1.7.References -- Chapter 2. Non-invasive Global/Local Hybrid IGA/FEM Coupling -- 2.1. Introduction -- 2.2. Origin of non-invasiveness: a need for industry -- 2.2.1.Several scales of interest -- 2.2.2. Typical coupling techniques in the industry -- 2.2.3. A non-invasive approach as a remedy -- 2.3. General formulation of the coupling and iterative solution -- 2.3.1.Governingequations -- 2.3.2.Weak form and monolithic approach -- 2.3.3.Non-invasiveiterative approach -- 2.4. Interest for the local enrichment of isogeometric models -- 2.4.1. General global-IGA/local-FEM modeling -- 2.4.2.Challenges and implementationissues -- 2.5. Fully non-invasive global-IGA/local-FEM analysis -- 2.5.1. Foundation: non-invasive, non-conforming global/local FEM -- 2.5.2. Extension for the non-invasive hybrid global-IGA/local-FEM coupling -- 2.6.Summaryand discussion -- 2.7.References -- Chapter 3. Non-invasive Spline-based Regularization of FE Digital Image Correlation Problems -- 3.1. Brief introduction.3.2. An introduction to the general field of FE-DIC from a numerical point ofview -- 3.2.1. FE-DIC: towards an intimate coupling between measurements and simulations -- 3.2.2. Formulation of DIC: a nonlinear least-squares problem -- 3.2.3.SolutionofDIC: descent algorithms -- 3.2.4.Extensionto stereo-DIC -- 3.2.5.Standardregularizationin FE-DIC -- 3.3. Multilevel and non-invasive CAD-based shape measurement -- 3.3.1. Inspiration: structural shape optimization -- 3.3.2. The proposed multilevel geometric and non-invasive scheme -- 3.3.3. Validation through a real example -- 3.3.4.Summaryand discussion -- 3.4.AsplineFFD-based regularizationforFE-DIC -- 3.4.1. The FFD-DIC methodology -- 3.4.2. Application for the displacement measurement of a 2D beam -- 3.4.3. Application to mesh-based shape measurement -- 3.4.4.Summaryand discussion -- 3.5.References -- Index -- EULA.Isogeometric analysis (IGA) consists of using the same higher-order and smooth spline functions for the representation of geometry in Computer Aided Design as for the approximation of solution fields in Finite Element Analysis. Now, almost twenty years after its creation, substantial works are being reported in IGA, making it very competitive in scientific computing. This book proposes to use IGA jointly with standard finite element methods (FEM), presenting IGA as a projection of FEM on a more regular reduced basis. By shedding new light on how IGA relates to FEM, we can see how IGA can be implemented on top of an FE code in order to improve the solution of problems that require more regularity. This is illustrated by using IGA with FEM in a non-invasive fashion to perform efficient and robust multiscale global/local simulations in solid mechanics. Furthermore, we show that IGA can regularize the inverse problem of FE digital image correlation in experimental mechanics.Isogeometric analysisFinite element methodData processingIsogeometric analysis.Finite element methodData processing.518/.25Bouclier Robin1641973Passieux Jean-Charles1331099MiAaPQMiAaPQMiAaPQBOOK9911020190703321IGA4420820UNINA