Mah Noor Asmat, Saif Ur Rheman, Atif Mashkoor,
"A Conceptual Model for Mitigation of Root Causes of Uncertainty in Cyber-Physical Systems"
, in Gabriele Kotsis A Min Tjoa Ismail Khalil Bernhard Moser Atif Mashkoor Johannes Sametinger Anna Fensel Jorge Martinez Gi Lukas Fischer Gerald Czech Florian SobieczkySohail Khan: Database and Expert Systems Applications - DEXA 2021 Workshops - BIOKDD, IWCFS, MLKgraphs, AI-CARES, ProTime, AISys 2021, Virtual Event, September 27-30, 2021, Proceedings, Serie Communications in Computer and Information Science, Vol. 1479, Springer, Seite(n) 9-17, 9-2021
Original Titel:
A Conceptual Model for Mitigation of Root Causes of Uncertainty in Cyber-Physical Systems
Sprache des Titels:
Englisch
Original Buchtitel:
Database and Expert Systems Applications - DEXA 2021 Workshops - BIOKDD, IWCFS, MLKgraphs, AI-CARES, ProTime, AISys 2021, Virtual Event, September 27-30, 2021, Proceedings
Original Kurzfassung:
Cyber-Physical Systems (CPS) are widely used in different domains. The major application domains of CPS are healthcare, transportation, manufacturing, industrial control systems, automatic pilot avionics, robotics systems, and so on. Uncertainty is one of the major issues that challenge the reliability of a CPS. In the literature, various approaches have been proposed to deal with uncertainty. However, fewer studies have focused on handling the root cause analysis of uncertainty and also suggesting the corresponding mitigation strategies. Inspired by this, we propose a conceptual model effective in mitigating the root causes of uncertainty in CPS. Moreover, some potential future research dimensions are outlined.
Sprache der Kurzfassung:
Englisch
Veröffentlicher:
Springer
Serie:
Communications in Computer and Information Science