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 …

All rights are solely and exclusively licensed by the Publisher, whether the whole or part of
the material is concerned, specifically the rights of translation, reprinting, reuse of …

The introduction of pervasive and ubiquitous instrumentation within Internet of Things (IoT)
leads to unprecedented real-time visibility (instrumentation), optimization and fault-tolerance …

Abstract Dynamic Data Driven Applications Systems (DDDAS) is a paradigm for systems
analysis and design and a framework that dynamically integrates comprehensive, first …

Abstract Dynamic Data Driven Applications Systems (DDDAS) is a paradigm for systems
analysis and design, and a framework that dynamically couples high-dimensional physical …

Uncertainty in predictions from a model of volcanic ash transport in the atmosphere arises
from uncertainty in both eruption source parameters and the model wind field. In a previous …

Volcanic ash transport and dispersion (VATD) models simulate atmospheric transport of ash
from a volcanic source represented by parameterized concentration of ash with height. Most …

Statistical emulators are a key tool for rapidly producing probabilistic hazard analysis of
geophysical processes. Given output data computed for a relatively small number of …

Abstract Dynamic Data Driven Application Systems (DDDAS) is a systems design framework
that focuses on developments that incorporate high-dimensional physical models, run-time …

Volcanic emissions of ash and SO2 can be harmful to both human health, infrastructure, and
aviation. In assessing these hazards, satellite remote sensing and transport modeling are …