Smart recommendation system to simplify projecting for an HMI/SCADA platform
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Abstract—Modelling and connecting machines and hardware devices of manufacturing plants in HMI/SCADA software platforms is considered time-consuming and requires expertise. A smart recommendation system could help to support and simplify the tasks of the projecting process. In this paper, supervised learning methods are proposed to address this problem. Data characteristics, modelling challenges, and two potential modelling approaches, one-hot encoding and probabilistic topic modelling, are discussed.
The methodology for solving this problem is still in progress. First results are expected by the date of the conference.
Index TermsChance correlation Generalization Reproducibiliy sparse data Genomics
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