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Results for “AUGMENTATION”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Virtual Reality Vault Design Training / Augmented Reality Physical Security Design Application.
Abstract not provided.
PROPOSED USE CASES FOR AUGMENTED REALITY FOR NUCLEAR NONPROLIFERATION VERIFICATION AND TRAINING.
Abstract not provided.
Leveraging Augmented Reality to Enhance the Human-Machine Interface in Space Applications.
Abstract not provided.
A Research Proposal: Assessing Credible Systems Engineering Models Through Rigorous Augmented Intelligence Analysis.
Abstract not provided.
Leveraging Augmented Reality to Enhance theHuman-Machine Interface in Space Applications.
Abstract not provided.
Augmented Reality Visualization of EMPIRE Simulations for Transmedia Learning.
Abstract not provided.
On the Development of a General-purpose Augmented Reality Training Framework.
Abstract not provided.
Welcome toSandia?s First Annual Augmented and Virtual Reality Community of Practice Open Meeting.
Abstract not provided.
A Research Proposal: Assessing Credible Systems Engineering Models Through Rigorous Augmented Intelligence Analysis.
Abstract not provided.
ENDF/B-VIII.0 Augmented Covariance Data: The first iteration
Nuclear data are necessary for reliable modeling and simulation of the next generation of nuclear reactors. However, the variation in the ratio of the computed to experimental values (C/E) for certain types of nuclear systems is much less than predicted by evaluated nuclear data file (ENDF)/B covariances. Figure 1 provides an example of a set of metal-plutonium-fueled, fast-spectrum (PU-MET-FAST) integral experiments from the International Criticality Safety Benchmark Evaluation Project (ICSBEP) in the Oak Ridge National Laboratory (ORNL) VALID database. The variation in the C/E values, shown with one standard deviation error bars, is 100% covered by both the SCALE and ENDB/VIII.0 covariance data. This is due to the comparisons to integral data that are essential during the evaluation process. However, the ENDF evaluations represent uncertainties and correlations in differential data only; they do not reflect the impact of the comparison to integral data in the covariance evaluations.
Systems and methods for augmenting a satellite based navigation system with alternative position and timing data
Various technologies pertaining to integrating a positioning or timing solution from an alternative position, navigation, or timing (PNT) system into a satellite-based-navigation system are described herein. The PNT system generates a position/timing (P/T) solution that indicates a current position or current time of the PNT system. The P/T solution is provided as input to a simulation of a satellite constellation of the satellite-based-navigation system, and a constellation signal is generated based on the simulation and the P/T solution. The constellation signal is formatted according to a navigation signal format of the satellite-based-navigation system such that when the constellation signal is provided to a receiver of the satellite-based-navigation system, the receiver computes a P/T solution that indicates the current position or the current time identified by the PNT system.
Towards Trust-Augmented Visual Analytics for Data-Driven Energy Modeling
The promise of data-driven predictive modeling is being increasingly realized in various science and engineering disciplines, where experts are used to the more conventional, simulation-driven modeling practices. However, trust remains a bottleneck for greater adoption of machine learning-based models for domain experts, who might not be necessarily trained in data science. In this paper, we focus on the building energy domain, where physics-based simulations are being complemented or replaced by machine learning-based methods for forecasting energy supply and demand at various spatio-temporal scales. We study the trust problem in close collaboration with energy scientists and engineers and describe how visual analytics can be leveraged for alleviating this trust bottleneck for stakeholders with varying degrees of expertise and analytics goals in this domain.
Z-Machine Box and Target Demo Targets with Augmentation.
Abstract not provided.
CRITR Exploration Augmented Reality (AR) Demonstration.
Abstract not provided.