Handbook of Dynamic Data Driven Applications Systems

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Blasch, Erik (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Ravela, Sai (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Aved, Alex (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Θέματα: Computer simulation.; System theory.; Computers.; Special purpose computers.; Simulation and Modeling.; Systems Theory, Control.; Models and Principles.; Special Purpose and Application-Based Systems.

The 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...

Πίνακας περιεχομένων:

• 1 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. .