An Empirical Evaluation of Prediction by Partial Matching in Assembly Assistance Systems
نویسندگان
چکیده
Industrial assistive systems result from a multidisciplinary effort that integrates IoT (and IoT), Cognetics, and Artificial Intelligence. This paper evaluates the Prediction by Partial Matching algorithm as component of an assembly assistance system supports factory workers, providing choices for next manufacturing step. The evaluation proposed method was performed on datasets collected within experiment involving trainees experienced workers. goal is to find out which best suits in order be integrated afterwards into our context-aware system. obtained results show presents significant improvement with respect existing Markov predictors.
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ژورنال
عنوان ژورنال: Applied sciences
سال: 2021
ISSN: ['2076-3417']
DOI: https://doi.org/10.3390/app11073278