LEADER 06045nam 22005775 450 001 9910299356503321 005 20200910205431.0 010 $a3-319-95504-7 024 7 $a10.1007/978-3-319-95504-9 035 $a(CKB)4100000007142733 035 $a(MiAaPQ)EBC5598687 035 $a(DE-He213)978-3-319-95504-9 035 $a(PPN)232473455 035 $a(EXLCZ)994100000007142733 100 $a20181113d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHandbook of Dynamic Data Driven Applications Systems /$fedited by Erik Blasch, Sai Ravela, Alex Aved 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (734 pages) 311 $a3-319-95503-9 327 $a1 Introduction to Dynamic Data Driven Applications Systems -- 2 Tractable Non-Gaussian Representation in Dynamic Data Driven Coherent Fluid Mapping -- 3 Dynamic Data-Driven Adaptive Observations in Data Assimilation for Multi-scale Systems -- 4 Dynamic Data-Driven Uncertainty Quantification via Polynomial Chaos for Space Situational Awareness -- 5 Towards Learning Spatio-Temporal Data Stream Relationships for Failure Detection in Avionics -- 6 Markov Modeling of Time Series via Spectral Analysis for Detection of Combustion Instabilities -- 7 Dynamic Space-Time Model for Syndromic Surveillance with Particle Filters and Dirichlet Process -- 8 A Computational Steering Framework for Large-Scale Composite Structures -- 9 Development of Intelligent and Predictive Self-Healing Composite Structures using Dynamic Data-Driven Applications Systems -- 10 Dynamic Data-Driven Approach for Unmanned Aircraft Systems aero-elastic response analysis -- 11 Transforming Wildfire Detection and Prediction using New and Underused Sensor and Data Sources Integrated with Modeling -- 12 Dynamic Data Driven Application Systems for Identification of Biomarkers in DNA Methylation -- 13 Photometric Steropsis for 3D Reconstruction of Space Objects -- 14 Aided Optimal Search: Data-Driven Target Pursuit from On-Demand Delayed Binary Observations -- 15 Optimization of Multi-Target Tracking within a Sensor Network via Information Guided Clustering -- 16 Data-Driven Prediction of Confidence for EVAR in Time-varying Datasets -- 17 DDDAS for Attack Detection and Isolation of Control Systems -- 18 Approximate Local Utility Design for Potential Game Approach to Cooperative Sensor Network Planning -- 19 Dynamic Sensor-Actor Interactions for Path-Planning in a Threat Field -- 20 Energy-Aware Dynamic Data-Driven Distributed Traffic Simulation for Energy and Emissions Reduction -- 21 A Dynamic Data-Driven Optimization Framework for Demand Side Management in Microgrids -- 22 Dynamic Data Driven Partitioning of Smart Grid Using Learning Methods -- 23 Design of a Dynamic Data-Driven System for Multispectral Video Processing -- 24 Light Field Image Compression -- 25 On Compression of Machine-derived Context Sets for Fusion of Multi-model Sensor Data -- 26 Simulation-based Optimization as a Service for Dynamic Data-driven Applications Systems -- 27 Privacy and Security Issues in DDDAS Systems -- 28 Dynamic Data Driven Application Systems (DDDAS) for Multimedia Content Analysis -- 29 Parzen Windows: Simplest Regularization Algorithm -- 30 Multiscale DDDAS Framework for Damage Prediction in Aerospace Composite Structures -- 31 A Dynamic Data-Driven Stochastic State-awareness Framework for the Next Generation of Bio-inspired Fly-by-feel Aerospace Vehicles -- DDDAS: The Way Forward. . 330 $aThe Handbook of Dynamic Driven Applications Systems establishes an authoritative reference of DDDAS, pioneered by Dr. Darema and the co-authors for researchers and practitioners developing DDDAS technologies. Beginning with general concepts and history of the paradigm, the text provides 32 chapters by leading experts in10 application areas to enable an accurate understanding, analysis, and control of complex systems; be they natural, engineered, or societal: Earth and Space Data Assimilation Aircraft Systems Processing Structures Health Monitoring Biological Data Assessment Object and Activity Tracking Embedded Control and Coordination Energy-Aware Optimization Image and Video Computing Security and Policy Coding Systems Design The authors explain how DDDAS unifies the computational and instrumentation aspects of an application system, extends the notion of Smart Computing to span from the high-end to the real-time data acquisition and control, and manages Big Data exploitation with high-dimensional model coordination. 606 $aComputer simulation 606 $aSystem theory 606 $aComputers 606 $aComputers, Special purpose 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 606 $aSystems Theory, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/M13070 606 $aModels and Principles$3https://scigraph.springernature.com/ontologies/product-market-codes/I18016 606 $aSpecial Purpose and Application-Based Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I13030 615 0$aComputer simulation. 615 0$aSystem theory. 615 0$aComputers. 615 0$aComputers, Special purpose. 615 14$aSimulation and Modeling. 615 24$aSystems Theory, Control. 615 24$aModels and Principles. 615 24$aSpecial Purpose and Application-Based Systems. 676 $a004.21 702 $aBlasch$b Erik$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRavela$b Sai$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aAved$b Alex$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910299356503321 996 $aHandbook of Dynamic Data Driven Applications Systems$92851120 997 $aUNINA