Handbook of Dynamic Data Driven Applications Systems [E-Book] / edited by Erik Blasch, Sai Ravela, Alex Aved.
Aved, Alex, (editor)
Blasch, Erik, (editor) / Ravela, Sai, (editor)
1st edition 2018
Cham : Springer, 2018
IX, 750 pages 327 illustrations, 270 illustrations in color (online resource)
englisch
9783319955049
10.1007/978-3-319-95504-9
Full Text
Table of Contents:
  • 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. .