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ODYSSEE
Optimal Decision Support System for Engineering and Expertise (ODYSSEE) is an innovative platform with a rapid ROI, allowing the building of advanced skill involving industrial data analysis.
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ODYSSEE, is an innovative and powerful platform, allowing to process data from multiple horizons and build customer specific tools easily. Various features such as machine learning, data handling, signal and image processing & recognition, data compression and fusion are available in Quasar module. For Robustness analyses we also propose to use optimizer Nova, coupled with Quasar, using our unique and innovative System Entropy based indicators.
ODYSSEE.Lunar uses Machine Learning and Reduced Order Modelling (ROM) techniques based on algebraic or fusion solutions for reducing the volume of data while preserving the most important parts of the information contained within that data. Such techniques allow for creating on-board and real-time applications based on existing experimental or simulation results (ex. finite elements (FEM)). Typical applications are optimization, parametric sensitivity analysis and robustness.
LUNAR Strategic Challenges:
ODYSSEE.Quasar, the AI solver of ODYSSEE, is a very powerful tool and can provide readily available solutions for various technics of Data Mining, process discovery, data fusion, pattern recognition, automation, machine learning and model reduction, Image or CAD compression, identification, learning, prediction,. all which can be managed by available user friendly GUI's, simple scripting or programing or via encapsulation into other software (external software, or custom application for design, manufacturing , production, validation and verification . ) based on very low memory and CPU. The CADLM application library can help you to reach very efficient algorithms without extensive programming and can be connected to your own software library (via an Embedded memory sharing API). The coupling with Nova, our optimization tool, can propose a very efficient solution spending less than 10% of the simulation effort, usually required by traditional response surface methods.
LUNAR Potential Application: