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and in particular in simulation-based engineering sciences. by dddas we mean a set of techniques that allow to link simulation tools with measurement devices for real-time control of systems and processes. in this paper a novel simulation technique is developed with an eye towards its employ in the field of dddas. the main novelty of this technique relies in the consideration of parameters of the model as new dimensions in the parametric space. such models often live in highly multidimensional spaces suffering the so-called curse of dimensionality. to avoid this problem related to mesh-based techniques (2) 2
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Procedia Computer Science, ISSN 1877-0509, 2014, Volume 29, pp. 1324 - 1333
This work aims to mathematically formalize the notion of context, with the purpose of allowing contextual decision-making in order to improve performance in... 
DDDAS | sensor-fence | machine learning | Context-aware sensing | US Border Control | Sensor-fence | US border control | Machine learning
Journal Article
Procedia Computer Science, ISSN 1877-0509, 2013, Volume 18, pp. 1851 - 1860
Forest fires cause important losses around the world every year. A good prediction of fire propagation is a crucial point to minimize the devastating effects... 
genetic algorithm | models | Forest fire ;prediction | meteorology | parameters tuning | DDDAS ;wind field | calibration | Wind field | Genetic algorithm | Prediction | Parameters tuning | Models | Calibration | Dddas | Forest fire | Meteorology
Journal Article
International Journal of Numerical Analysis and Modeling, ISSN 1705-5105, 2012, Volume 9, Issue 2, pp. 432 - 448
This work faces the problem of quality and prediction time assessment in a Dynamic Data Driven Application System (DDDAS) for predicting natural hazard... 
DDDAS | Pre- diction time assessment | Natural hazard management | Prediction quality | Data uncertainty | Data Uncertainty | MATHEMATICS | MATHEMATICS, APPLIED | FIRE SPREAD PREDICTION | Prediction Quality | Prediction Time Assessment | Natural Hazard Management | GENETIC ALGORITHM
Journal Article
Procedia Computer Science, 2011, Volume 4, pp. 1761 - 1770
This work faces the problem of quality and prediction time assessment in a Dynamic Data Driven Application System (DDDAS) for predicting natural hazard... 
Forest fire spread prediction | Data uncertainty | DDDAS | Classification techniques
Conference Proceeding
Journal of the Institution of Engineers (India): Aerospace Engineering Journal, ISSN 0257-3423, 05/2011, Volume 92, Issue MAY, pp. 19 - 26
Journal Article
Procedia Computer Science, ISSN 1877-0509, 2011, Volume 4, pp. 1745 - 1750
Shale gas represents a major fraction of the proven reserves of natural gas in the United States and a collection of other countries. Higher gas prices and the... 
DDDAS | dynamic data-driven application system | reservoir simulation | multiscale methods | sensor-model feedback | Sensor-model feedback | Dynamic data-driven application system | Reservoir simulation | Multiscale methods
Journal Article
Clinical Epidemiology, ISSN 1179-1349, 09/2012, Volume 4, Issue 1, pp. 15 - 19
This paper provides a short overview of the Danish health care system and the organization of care for type 2 diabetes patients in Denmark. It also describes... 
Health care | Type 2 diabetes | Danish General Practice Database (Dansk AlmenMedicinsk Database [DAMD]) | Data sources | Epidemiology | Danish Diabetes Database for Adults (DDDA) | Research | Quality control | Diabetes therapy
Journal Article
2013 Asilomar Conference on Signals, Systems and Computers, ISSN 1058-6393, 11/2013, pp. 1436 - 1441
Strict run-time and resource constraints in wireless sensor networks (WSNs) introduce complex design problems that need to be addressed systematically. Recent... 
Temperature sensors | Wireless sensor networks | Computational modeling | Parameterized dataflow | Digital signal processing | DDDAS | Speech | Dataflow graphs | Speech processing
Conference Proceeding
Procedia Computer Science, ISSN 1877-0509, 2015, Volume 51, Issue 1, pp. 2573 - 2582
The DDDAS paradigm, unifying applications, mathematical modeling, and sensors, is now more relevant than ever with the advent of Large-Scale/Big-Data and... 
Compiler | Codelet | Computer Architecture | DDDAS | FreshBreeze | Dataflow | Big-Data | Big-Computing | Computer architecture
Journal Article
Procedia Computer Science, ISSN 1877-0509, 2013, Volume 18, pp. 2018 - 2027
Unmanned Aerial Vehicles (UAVs) may become the future of military aviation as technology advances, especially sensors and miniaturization techniques.... 
DDDAS | command and control | swarm | UAVs | mission planning | Swarm | Mission planning | Command and control
Journal Article
Procedia Computer Science, ISSN 1877-0509, 2014, Volume 29, pp. 1171 - 1181
A framework for incorporating a swarm intelligent system with the Dynamic Data Driven Application System (DDDAS) is presented. Swarm intelligent systems, or... 
Emergent Behavior | DDDAS | Swarm Control | Agent-Based Modeling | Swarm Intelligent Systems | Design Pattern | Agent-based modeling | Swarm intelligent systems | Design pattern | Emergent behavior | Swarm control
Journal Article
Procedia Computer Science, ISSN 1877-0509, 2016, Volume 80, pp. 919 - 930
Online state and parameter estimation of atmospheric dispersion processes using multiple mobile sensor platforms is a prominent example of Dynamic Data-Driven... 
DDDAS | Decentralized State Estimation | Cooperative Vehicle Controller | Reduced Order Models | Cooperative vehicle controller | Reduced order models | Decentralized state estimation
Journal Article
Procedia Computer Science, ISSN 1877-0509, 2014, Volume 29, pp. 1256 - 1265
Inference problems in dynamically data-driven application systems use physical measurements along with a physical model to estimate the parameters or state of... 
DDDAS | Inverse problems | data assimilation | sensitivity analysis | a posteriori error | A posteriori error | Sensitivity analysis | Data assimilation
Journal Article
Procedia Computer Science, ISSN 1877-0509, 2013, Volume 18, pp. 1939 - 1948
We consider the optical remote sensing tracking problem for vehicles in a complex environment using an adaptive sensor that can take spectral data at a small... 
DDDAS | Feature matching | Target tracking | data assimilation | Dynamic Data Driven Application Systems | Dynamic data driven application systems | Data assimilation
Journal Article
Procedia Computer Science, ISSN 1877-0509, 2013, Volume 18, pp. 1871 - 1880
In this paper, we will present ongoing work on using a dynamic data driven application system (DDDAS) based approach to the forecast of volcanic ash transport... 
Volcanic Ash Transport | DDDAS | Uncertainty Quantification | Uncertainty quantification | Volcanic ash transport
Journal Article
Procedia Computer Science, ISSN 1877-0509, 2015, Volume 51, Issue 1, pp. 1675 - 1684
The OpenDBDDAS Toolkit is a software framework to provide support for more easily creating and expanding dynamic big data-driven application systems (DBDDAS)... 
Dynamic data driven applications | HIPAA | DDDAS | Big data | HPC | Cybersecurity | Open source software | Hipaa
Journal Article
Procedia Computer Science, ISSN 1877-0509, 2014, Volume 29, pp. 1216 - 1226
Southern European countries are severally affected by forest fires every year, which lead to very large environmental damages and great economic investments to... 
EFFIS | High Performance Computing | Applications | DDDAS | Input Data Uncertainty | Evolutionary Computation | Calibration | Hybrid MPI-OpenMP | Forest Fires | High performance computing | Input data uncertainty | Evolutionary computation | Hybrid MPI-openMP | Forest fires
Journal Article
Procedia Computer Science, ISSN 1877-0509, 2012, Volume 9, pp. 1149 - 1158
Recent advances in simulation, optimization, structural health monitoring, and high-performance computing create a unique opportunity to combine the... 
DDDAS | composite structures | optimization and control | fluid—structure interaction | high-performance computing | Optimization and control | Composite structures | High-performance computing | Fluid-structure interaction
Journal Article
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