Efficiency Monitoring of Engineering System Designer Work Based on Multi-System User Behavior Analysis with AI/ML Algorithms
2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2021): Conference Proceedings 2021
Oksana Ņikiforova, Ruslan Rizhko, Vitālijs Zabiņako, Kristaps Babris, Jurijs Korņijenko, Madara Gasparoviča-Asīte

Efficiency monitoring is one of the important tasks in monitoring of employees activities, the solution of which is constantly in the focus of researchers and is still not supported by automated methods and universal tools. This task is especially relevant if the field of activity is narrowly specific, and solving such a task of efficiency monitoring is not a trivial accumulation of statistical data, but requires a unique method. However, potentially the method of evaluating the work efficiency of this specific field is not commonly used or adaptable in the analysis of a wide range of activities. The work of an engineering system designer is an example of such specific activities. This paper offers a method for construction of a unified model of behavior of users of specialized IT systems in the engineering design industry, which offers to evaluate the efficiency of work based on the development of a user profile that collects information about the designer's activities, sequence and times. The method defines the input data, the result output data, AI/ML algorithms for output data acquisition and is supported with the prototype system for the visual representation of the expected result, which is based on the input / output data regularities.


Atslēgas vārdi
Computational and artificial intelligence | Engineering management | Information systems | Information technology
DOI
10.1109/RTUCON53541.2021.9711720
Hipersaite
https://ieeexplore.ieee.org/document/9711720

Ņikiforova, O., Rizhko, R., Zabiņako, V., Babris, K., Korņijenko, J., Gasparoviča-Asīte, M. Efficiency Monitoring of Engineering System Designer Work Based on Multi-System User Behavior Analysis with AI/ML Algorithms. No: 2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2021): Conference Proceedings, Latvija, Riga, 15.-17. novembris, 2021. Piscataway: IEEE, 2021, 84.-89.lpp. ISBN 978-1-6654-3805-6. e-ISBN 978-1-6654-3804-9. Pieejams: doi:10.1109/RTUCON53541.2021.9711720

Publikācijas valoda
English (en)
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