RAMIRES is a tool for automated risk management in Industry 4.0 using sensor data. This project has been developed as part of my PhD thesis. The codes shared here are only a small part of the project where it attempts to create a dashboard for risk management, visualizing the risks that have been detected in the environment, and letting the risk management team interviene whenever necessary.
The results of the research and the details on the algorithms and methods used have been published in various conferences and journals and can be found in the following:
-
Teimourikia, Mahsa, Mariagrazia Fugini, and Claudia Raibulet. "Run-Time Security and Safety Management in Adaptive Smart Work Environments." Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2017 IEEE 26th International Conference on. IEEE, 2017.
-
Teimourikia, Mahsa, and Mariagrazia Fugini. "Ontology development for run-time safety management methodology in Smart Work Environments using ambient knowledge." Future Generation Computer Systems 68 (2017): 428-441.
-
Teimourikia, Mahsa, Guido Marilli, and Mariagrazia Fugini. "Context-based risk-adaptive security model and conflict management." International Conference on Database and Expert Systems Applications. Springer, Cham, 2016.
Complete list of publications can be found here: https://scholar.google.it/citations?hl=en&user=tH8DvigAAAAJ