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Point Prognostics: Closed Loop Particle Forecasting Platform for Decision Support and System Prognostics
TS-049903 — A scalable, adaptive computational platform (software) that performs accurate, predictive computer simulations in less time, with the end goal of supporting a decision-making agency
A report by IOT Analytics evaluated the predictive maintenance (PdM) market at $1.5 billion in 2016 and anticipated a growth of 39% annually to $10.96 billion by 2022. Particle methods (broadly known as "Monte Carlo'' methods, or, MC) are a class of computational algorithms used in Pd…
  • College: College of Engineering (COE)
  • Inventors: Kumar, Mrinal; Yang, Chao "Chao"
  • Licensing Officer: Zinn, Ryan

Closed Loop Particle Forecasting Platform for Decision Support and System Prognostics.
TS-042531 — A computational platform for forecasting the state of evolving systems and processes.
Particle methods are a class of computational algorithms used to estimate potential outcomes of a system or process. Although popular for their simplicity and scalability, the use of fixed sized "particle ensembles" renders the simulations unable to provide performance guarantees in quan…
  • College: College of Engineering (COE)
  • Inventors: Kumar, Mrinal; Yang, Chao "Chao"
  • Licensing Officer: Zinn, Ryan

The STEMcoding Learning Management System
TS-040123 — The STEMcoding Learning Management System is a tool for incorporating computer programming activities into introductory STEM courses.
As technology becomes more advanced over time, the need for people with programming knowledge increases, especially in fields where technology can be used to improve efficiency. Despite the fact that STEM courses have not traditionally used programming activities to teach concepts, there are vast …
  • College: College of Arts & Sciences
  • Inventors: Orban, Christopher; Britt, Christopher "Christopher"; Porter, Christopher
  • Licensing Officer: Davis, Stewart

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