Handbook of Dynamic Data Driven Applications Systems

The Handbook of Dynamic Data 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. Front Matter ....Pages i-ix Introduction to Dynamic Data Driven Applications Systems (Erik Blasch, Dennis Bernstein, Murali Rangaswamy)....Pages 1-25 Front Matter ....Pages 27-27 Tractable Non-Gaussian Representations in Dynamic Data Driven Coherent Fluid Mapping (Sai Ravela)....Pages 29-46 Dynamic Data-Driven Adaptive Observations in Data Assimilation for Multi-scale Systems (Hoong C. Yeong, Ryne Beeson, N. Sri Namachchivaya, Nicolas Perkowski, Peter W. Sauer)....Pages 47-73 Dynamic Data-Driven Uncertainty Quantification via Polynomial Chaos for Space Situational Awareness (Richard Linares, Vivek Vittaldev, Humberto C. Godinez)....Pages 75-93 Front Matter ....Pages 95-95 Towards Learning Spatio-Temporal Data Stream Relationships for Failure Detection in Avionics (Sida Chen, Shigeru Imai, Wennan Zhu, Carlos A. Varela)....Pages 97-121 Markov Modeling of Time Series via Spectral Analysis for Detection of Combustion Instabilities (Devesh K. Jha, Nurali Virani, Asok Ray)....Pages 123-138 Dynamic Space-Time Model for Syndromic Surveillance with Particle Filters and Dirichlet Process (Hong Yan, Zhongqiang Zhang, Jian Zou)....Pages 139-152 Front Matter ....Pages 153-153 A Computational Steering Framework for Large-Scale Composite Structures (A. Korobenko, M.-C. Hsu, Y. Bazilevs)....Pages 155-171 Development of Intelligent and Predictive Self-Healing Composite Structures Using Dynamic Data-Driven Applications Systems (Mishal Thapa, Bodiuzzaman Jony, Sameer B. Mulani, Samit Roy)....Pages 173-191 Dynamic Data-Driven Approach for Unmanned Aircraft Systems and Aeroelastic Response Analysis (R. Kania, A. Kebbie-Anthony, X. Zhao, S. Azarm, B. Balachandran)....Pages 193-211 Front Matter ....Pages 213-213 Transforming Wildfire Detection and Prediction Using New and Underused Sensor and Data Sources Integrated with Modeling (Janice L. Coen, Wilfrid Schroeder, Scott D. Rudlosky)....Pages 215-231 Dynamic Data Driven Application Systems for Identification of Biomarkers in DNA Methylation (Haluk Damgacioglu, Emrah Celik, Chongli Yuan, Nurcin Celik)....Pages 233-252 Photometric Stereopsis for 3D Reconstruction of Space Objects (Xue Iuan Wong, Manoranjan Majji, Puneet Singla)....Pages 253-291 Front Matter ....Pages 293-293 Aided Optimal Search: Data-Driven Target Pursuit from On-Demand Delayed Binary Observations (Luca Carlone, Allan Axelrod, Sertac Karaman, Girish Chowdhary)....Pages 295-335 Optimization of Multi-target Tracking Within a Sensor Network Via Information Guided Clustering (Alexander A. Soderlund, Mrinal Kumar)....Pages 337-380 Data-Driven Prediction of Confidence for EVAR in Time-Varying Datasets (Allan Axelrod, Luca Carlone, Girish Chowdhary, Sertac Karaman)....Pages 381-404 Front Matter ....Pages 405-405 DDDAS for Attack Detection and Isolation of Control Systems (Luis Francisco Combita, Jairo Alonso Giraldo, Alvaro A. Cardenas, Nicanor Quijano)....Pages 407-422 Approximate Local Utility Design for Potential Game Approach to Cooperative Sensor Network Planning (Su-Jin Lee, Han-Lim Choi)....Pages 423-444 Dynamic Sensor-Actor Interactions for Path-Planning in a Threat Field (Benjamin S. Cooper, Raghvendra V. Cowlagi)....Pages 445-464 Front Matter ....Pages 465-465 Energy-Aware Dynamic Data-Driven Distributed Traffic Simulation for Energy and Emissions Reduction (Michael Hunter, Aradhya Biswas, Bhargava Chilukuri, Angshuman Guin, Richard Fujimoto, Randall Guensler et al.)....Pages 467-487 A Dynamic Data-Driven Optimization Framework for Demand Side Management in Microgrids (Haluk Damgacioglu, Mehrad Bastani, Nurcin Celik)....Pages 489-504 Dynamic Data Driven Partitioning of Smart Grid Using Learning Methods (Antonia Nasiakou, Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Manolis Vavalis)....Pages 505-526 Front Matter ....Pages 527-527 Design of a Dynamic Data-Driven System for Multispectral Video Processing (Honglei Li, Yanzhou Liu, Kishan Sudusinghe, Jinsung Yoon, Erik Blasch, Mihaela van der Schaar et al.)....Pages 529-545 Light Field Image Compression (Li Li, Zhu Li)....Pages 547-570 On Compression of Machine-Derived Context Sets for Fusion of Multi-modal Sensor Data (Nurali Virani, Shashi Phoha, Asok Ray)....Pages 571-586 Front Matter ....Pages 587-587 Simulation-Based Optimization as a Service for Dynamic Data-Driven Applications Systems (Yi Li, Shashank Shekhar, Yevgeniy Vorobeychik, Xenofon Koutsoukos, Aniruddha Gokhale)....Pages 589-614 Privacy and Security Issues in DDDAS Systems (Li Xiong, Vaidy Sunderam, Liyue Fan, Slawomir Goryczka, Layla Pournajaf)....Pages 615-630 Dynamic Data Driven Application Systems (DDDAS) for Multimedia Content Analysis (Erik Blasch, Alex Aved, Shuvra S. Bhattacharyya)....Pages 631-651 Front Matter ....Pages 653-653 Parzen Windows: Simplest Regularization Algorithm (Jing Peng, Peng Zhang)....Pages 655-676 Multiscale DDDAS Framework for Damage Prediction in Aerospace Composite Structures (A. Korobenko, M. Pigazzini, X. Deng, Y. Bazilevs)....Pages 677-696 A Dynamic Data-Driven Stochastic State-Awareness Framework for the Next Generation of Bio-inspired Fly-by-Feel Aerospace Vehicles (Fotis Kopsaftopoulos, Fu-Kuo Chang)....Pages 697-721 DDDAS: The Way Forward (Erik Blasch, Sai Ravela, Alex Aved)....Pages 723-731 Back Matter ....Pages 733-750