Dynamic Data Driven Application Systems: Third International Conference, DDDAS 2020, Boston, MA, USA, October 2-4, 2020, Proceedings

Front Matter ....Pages i-xiii
Front Matter ....Pages 1-1
 Predictive Digital Twins: Where Dynamic Data-Driven Learning Meets Physics-Based Modeling  (Michael G. Kapteyn, Karen E. Willcox)....Pages 3-7
 Dynamic Data-Driven Application Systems for NASA’s Science Mission Directorate  (Michael S. Seablom, Florence W. Tan, Jacqueline J. LeMoigne)....Pages 8-11
 Revisiting the Top Ten Ways that DDDAS Can Save the World with an Update in the BioInfoSciences Area and on the Energy Bridge  (Shiyan Wang, Sangtae Kim)....Pages 12-17
 Using Dynamic Data Driven Cyberinfrastructure for Next Generation Disaster Intelligence  (Ilkay Altintas)....Pages 18-21
 Intelligent Contingency Management for Urban Air Mobility  (Irene M. Gregory, Newton H. Campbell, Natasha A. Neogi, Jon B. Holbrook, Jared A. Grauer, Barton J. Bacon et al.)....Pages 22-26
Front Matter ....Pages 27-27
 A Dynamic Data Driven Applications Systems (DDDAS)-Based Digital Twin IoT Framework  (Sarah Malik, Rakeen Rouf, Krzysztof Mazur, Antonios Kontsos)....Pages 29-36
 A Hardware Testbed for Dynamic Data-Driven Aerospace Digital Twins  (Stefanie J. Salinger, Michael G. Kapteyn, Cory Kays, Jacob V. R. Pretorius, Karen E. Willcox)....Pages 37-45
Front Matter ....Pages 47-47
 A DDDAS Protocol for Real-Time Large-Scale UAS Flight Coordination  (David Sacharny, Thomas C. Henderson, Ejay Guo)....Pages 49-56
 Data-Driven State Awareness for Fly-by-Feel Aerial Vehicles via Adaptive Time Series and Gaussian Process Regression Models  (Shabbir Ahmed, Ahmad Amer, Carlos A. Varela, Fotis Kopsaftopoulos)....Pages 57-65
 Integrated Planning, Decision-Making, and Weather Modeling for UAS Navigating Complex Weather  (John J. Bird, Katherine Glasheen, Eric W. Frew)....Pages 66-73
Front Matter ....Pages 75-75
 Microgrid Operational Planning Using Deviation Clustering Within a DDDAS Framework  (Joshua Darville, Nurcin Celik)....Pages 77-84
 Dynamic Data-Driven Self-healing Application for Phasor Measurement Unit Networks  (Yanfeng Qu, Xin Liu, Jiaqi Yan, Dong Jin)....Pages 85-92
 Interpretable Deep Attention Model for Multivariate Time Series Prediction in Building Energy Systems  (Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Soumik Sarkar)....Pages 93-101
 Overcoming Stealthy Adversarial Attacks on Power Grid Load Predictions Through Dynamic Data Repair  (Xingyu Zhou, Robert Canady, Yi Li, Xenofon Koutsoukos, Aniruddha Gokhale)....Pages 102-109
Front Matter ....Pages 111-111
 Uncertainty Analysis of Self-healed Composites with Machine Learning as Part of DDDAS  (Sameer B. Mulani, Samit Roy, Bodiuzzaman Jony)....Pages 113-120
 Active Search Methods to Predict Material Failure Under Intermittent Loading in the Serebrinksy-Ortiz Fatigue Model  (Stephen Guth, Themistoklis Sapis)....Pages 121-131
 Dynamic Data-Driven Distribution Tracking of Nanoparticle Morphology  (Chiwoo Park, Yu Ding)....Pages 132-139
Front Matter ....Pages 141-141
 Machine Learning Algorithms for Improved Thermospheric Density Modeling  (Herbert Turner, Maggie Zhang, David Gondelach, Richard Linares)....Pages 143-151
 Dynamic Transfer Learning from Physics-Based Simulated SAR Imagery for Automatic Target Recognition  (Ali Ahmadibeni, Branndon Jones, Damiyelle Smith, Amir Shirkhodaie)....Pages 152-159
Front Matter ....Pages 161-161
 Uncertainty Estimation for Semantic Segmentation of Hyperspectral Imagery  (Aneesh Rangnekar, Emmett Ientilucci, Christopher Kanan, Matthew J. Hoffman)....Pages 163-170
 Spectral Super Resolution with DCT Decomposition and Deep Residual Learning  (Raghunath Sai Puttagunta, Renlong Hang, Zhu Li, Shuvra Bhattacharyya, George York)....Pages 171-178
 Active Scene Classification via Dynamically Learning Prototypical Views  (Zachary A. Daniels, Dimitris N. Metaxas)....Pages 179-187
Front Matter ....Pages 189-189
 Informative Ensemble Kalman Learning for Neural Structure  (Margaret Trautner, Gabriel Margolis, Sai Ravela)....Pages 191-199
 Reachability Analysis Based Tracking: Applications to Non-cooperative Space Object Tracking  (Zach Hall, Puneet Singla)....Pages 200-207
 Sparse Regression and Adaptive Feature Generation for the Discovery of Dynamical Systems  (Chinmay S. Kulkarni, Abhinav Gupta, Pierre F. J. Lermusiaux)....Pages 208-216
 Improving Prediction Confidence in Learning-Enabled Autonomous Systems  (Dimitrios Boursinos, Xenofon Koutsoukos)....Pages 217-224
Front Matter ....Pages 225-225
 Physics-Based SAR Modeling and Simulation for Large-Scale Data Generation of Multi-platform Vehicles for Deep Learning-Based ATR  (Branndon Jones, Ali Ahmadibeni, Maxine Beard, Amir Shirkhodaie)....Pages 227-235
 Towards Provably Correct Probabilistic Flight Systems  (Elkin Cruz-Camacho, Saswata Paul, Fotis Kopsaftopoulos, Carlos A. Varela)....Pages 236-244
 Dynamic Data-Driven Formal Progress Envelopes for Distributed Algorithms  (Saswata Paul, Fotis Kopsaftopoulos, Stacy Patterson, Carlos A. Varela)....Pages 245-252
 Dynamic Sensor Processing for Securing Unmanned Vehicles  (Raul Quinonez, Luis Salazar, Jairo Giraldo, Alvaro A. Cardenas)....Pages 253-261
 A Scalable Mixture Model Based Defense Against Data Poisoning Attacks on Classifiers  (Xi Li, David J. Miller, Zhen Xiang, George Kesidis)....Pages 262-273
 Resilient Machine Learning (rML) Ensemble Against Adversarial Machine Learning Attacks  (Likai Yao, Cihan Tunc, Pratik Satam, Salim Hariri)....Pages 274-282
 Data-Based Defense-in-Depth of Critical Systems  (Styliani Pantopoulou, Pola Lydia Lagari, Clive H. Townsend, Lefteri H. Tsoukalas)....Pages 283-290
Front Matter ....Pages 291-291
 Physics-Driven Machine Learning for Time-Optimal Path Planning in Stochastic Dynamic Flows  (Rohit Chowdhury, Deepak N. Subramani)....Pages 293-301
 Discovering Laws from Observations: A Data-Driven Approach  (Chenzhong Yin, Gaurav Gupta, Paul Bogdan)....Pages 302-310
 An On-Demand Weather Avoidance System for Small Aircraft Flight Path Routing  (Eric Lyons, David Westbrook, Andrew Grote, George Papadimitriou, Komal Thareja, Cong Wang et al.)....Pages 311-319
 Dynamic, Data-Driven Hyperspectral Image Classification on Resource-Constrained Platforms  (Lei Pan, Rijun Liao, Zhu Li, Shuvra S. Bhattacharyya)....Pages 320-327
 Semi-supervised Visual Tracking Based on Variational Siamese Network  (Liang Xu, Ruixin Niu)....Pages 328-336
 Occlusion Detection for Dynamic Adaptation  (Zachary Mulhollan, Aneesh Rangnekar, Anthony Vodacek, Matthew J. Hoffman)....Pages 337-344
 PNEUMON: A DDDAS Framework to Detect Fatigue and Dyspnea in COPD  (Varun Kanal, Andrew Miller, Diego Vester, Jackson Liller, Maria Kyrarini, Glenn Wylie et al.)....Pages 345-352
Front Matter ....Pages 353-353
 Impact of DDDAS/InfoSymbiotics in the Industrial Sector  (Daniel Abramovitch, Sandeep Gogineni, Cory Kays, Chung-Sheng Li, Jose Moreira, Chitra Sivanandam et al.)....Pages 355-355
 AI/ML Applications for Aerospace and Defense  (Kishore K. Reddy, Amit Surana, Paul Kodzwa, Shane Zable, Richard LaRowe, Eric Brewer et al.)....Pages 356-356
 Future Direction of DDDAS/InfoSymbiotics and Collaborations with Related Initiatives  (Erik Blasch, Robert Bohn, Jahla Gato, Edward McLarney, Jasmin Ratchford, Sonia Sachs)....Pages 357-357
Back Matter ....Pages 359-360