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The awarded paper presents a new method for the classification of incomplete and unstable data which cannot be calculated with standard methods. In particular, the approach builds a bridge to resource-constrained systems in automation by demonstrating that the method is easy to implement and reduces computation time.
„ Once again a remarkable success for the Institute Industrial IT. I am pleased that again and again inIT makes fantastic contributions to automation’s community by offering new methods and practical solutions. So it can be seen here: Dr. Dörksen has researched a highly interesting method to solve problems of badly conditioned data,” says Professor Volker Lohweg, director of inIT.
The IEEE ETFA Conference which has been held in Torino already for the 23rd time is one of the world’s most import conferences for new technologies in the field of factory automation and is dedicated to topics such as digitisation, Industry 4.0, networks, cyber-physical systems, and artificial intelligence.