SmartUQ Press Release
SmartUQ on May 2nd will be presenting on Managing Big Data from Simulations for the NAFEMS Digital Twins eSeminar. Dr. Mark Andrews, SmartUQ Technology Steward, will discuss one of the major setbacks of advancing towards a digital ecosystem: handling Big Data. The abstract for the presentation may be found below.
As simulation, monitoring, and testing techniques continue to advance toward Digital Engineering ecosystem, many have found themselves drowning in Big Data. As the computational burden continues to increase, analysis becomes intractable. This presentation will focus on two methods that help manage Big Data: the subsampling of a large data set and the sliced sampling of a large data set into smaller, more manageable data sets for training emulators. Subsampling algorithms intelligently considers points for the subset that maintain the characteristics of the whole data set, reducing the potential bias is the subsampled data set. Similarly, sliced sampling intelligently partitions the data into slices which allows for training a series of emulators that can be combined into one. A conceptual Digital Twin example will be given to illustrate the capabilities of each method.
If you are interested in learning more about Digital Twin / Digital Thread, view SmartUQ on-demand Webinar: Uncertainty Quantification and Management in Digital Engineering.
About SmartUQ
SmartUQ is a powerful engineering analytics software tool that incorporates real world variability and probabilistic behavior into the analysis of complex systems. The software utilizes breakthrough analytics techniques to rapidly quantify all forms of uncertainties. SmartUQ analtyics tools accelerate design cycles by reducing design iterations, improving design robustness and maximizing insight of complex systems by quantifying uncertainties. Learn more here.
Contact Information
Jenny Reschke
SmartUQ Communication and Business Development Specialist
1-608-255-2440
[email protected]
