[图书][B] Handbook of Dynamic Data Driven Applications Systems
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the material is concerned, specifically the rights of translation, reprinting, reuse of …
the material is concerned, specifically the rights of translation, reprinting, reuse of …
DDDAS advantages from high-dimensional simulation
E Blasch - 2018 Winter Simulation Conference (WSC), 2018 - ieeexplore.ieee.org
Dynamic Data Driven Applications Systems (DDDAS) is a systems design framework that
focuses on integrating high-dimensional physical model simulations, run-time …
focuses on integrating high-dimensional physical model simulations, run-time …
The Dynamic Data Driven Applications Systems (DDDAS) Paradigm and Emerging Directions
Abstract Dynamic Data Driven Applications Systems (DDDAS) is a paradigm for systems
analysis and design and a framework that dynamically integrates comprehensive, first …
analysis and design and a framework that dynamically integrates comprehensive, first …
Introduction to the dynamic data driven applications systems (DDDAS) paradigm
EP Blasch, F Darema, D Bernstein - Handbook of Dynamic Data Driven …, 2022 - Springer
Abstract Dynamic Data Driven Applications Systems (DDDAS) is a paradigm for systems
analysis and design, and a framework that dynamically couples high-dimensional physical …
analysis and design, and a framework that dynamically couples high-dimensional physical …
Multi-int query language for dddas designs
Context understanding is established from coordination of content, analysis, and interaction
between users and machines. In this manuscript, a live-video computing (LVC) approach is …
between users and machines. In this manuscript, a live-video computing (LVC) approach is …
Energy consumption of data driven traffic simulations
SB Neal, R Fujimoto, M Hunter - 2016 winter simulation …, 2016 - ieeexplore.ieee.org
Dynamic Data-Driven Application Systems (DDDAS) implemented on mobile devices must
conserve energy to maximize battery life. For example, applications for online traffic …
conserve energy to maximize battery life. For example, applications for online traffic …
Parameterized dataflow scenarios
M Skelin, M Geilen, F Catthoor… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
A number of modeling approaches combining dataflow and finite-state machines (FSMs)
have been proposed to capture applications that combine streaming data with finite control …
have been proposed to capture applications that combine streaming data with finite control …
Introduction to dynamic data driven applications systems
Abstract Dynamic Data Driven Application Systems (DDDAS) is a systems design framework
that focuses on developments that incorporate high-dimensional physical models, run-time …
that focuses on developments that incorporate high-dimensional physical models, run-time …
Models and framework for adversarial attacks on complex adaptive systems
V Behzadan, A Munir - arXiv preprint arXiv:1709.04137, 2017 - arxiv.org
We introduce the paradigm of adversarial attacks that target the dynamics of Complex
Adaptive Systems (CAS). To facilitate the analysis of such attacks, we present multiple …
Adaptive Systems (CAS). To facilitate the analysis of such attacks, we present multiple …
Multiobjective design optimization in the lightweight dataflow for DDDAS environment (LiD4E)
K Sudusinghe, Y Jiao, HB Salem… - Procedia Computer …, 2015 - Elsevier
In this paper, we introduce new methods for multiobjective, system-level optimization that
have been incorporated into the Lightweight Dataflow for Dynamic Data Driven Application …
have been incorporated into the Lightweight Dataflow for Dynamic Data Driven Application …