SAKE an entity of type: FundedProject

The increasing use of automation in machine and plant construction has inevitably led to a large growth in the number of industrial production processes being recorded and monitored by sensors. If the vast quantities of data this generates could be centrally evaluated in real time it would be possible for the results to be used to optimize internal processes and drastically reduce production costs. Unfortunately, the most commonly used data analysis tools are simply not designed to handle such enormous amounts of real time data. The SAKE project has been set up to resolve this problem by developing a framework specifically designed to analyze these vast streams of data. By implementing prefabricated modules it will also be possible to use individual applications in a number of different roles. The modules will be evaluated in real-life industrial environments by the project's industrial partners.
Ontos AG (CH); AviComp Controls GmbH; Heidelberger Druckmaschinen AG; Fraunhofer IAIS; USU Software AG
DL-Learner; LIMES
  • Duration: 12/2014 - 12/2017
  • Funding Programme: BWMi (Federal Ministry for Economic Affairs and Energy)
Prof. Dr. Axel-C. Ngonga Ngomo

inverse relations

6 resources Prof. Dr. Axel-C. Ngonga Ngomo
Kleanthi Georgala
Lorenz Bühmann
Dr. Mohamed Ahmed Sherif
Dr. Muhammad Saleem
Nadine Jochimsen
1 resources Simon Bin
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