STARdom: an architecture for trusted and secure human-centered manufacturing systems
Abstrak
There is a lack of a single architecture specification that addresses the needs of trusted and secure Artificial Intelligence systems with humans in the loop, such as human-centered manufacturing systems at the core of the evolution towards Industry 5.0. To realize this, we propose an architecture that integrates forecasts, Explainable Artificial Intelligence, supports collecting users' feedback, and uses Active Learning and Simulated Reality to enhance forecasts and provide decision-making recommendations. The architecture security is addressed as a general concern. We align the proposed architecture with the Big Data Value Association Reference Architecture Model. We tailor it for the domain of demand forecasting and validate it on a real-world case study.
Penulis (17)
Jože M. Rožanec
Patrik Zajec
Klemen Kenda
Inna Novalija
Blaž Fortuna
Dunja Mladenić
Entso Veliou
Dimitrios Papamartzivanos
Thanassis Giannetsos
Sofia Anna Menesidou
Rubén Alonso
Nino Cauli
Diego Reforgiato Recupero
Dimosthenis Kyriazis
Georgios Sofianidis
Spyros Theodoropoulos
John Soldatos
Akses Cepat
- Tahun Terbit
- 2021
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓