| 1. |
- Capannini, Gabriele, et al.
(författare)
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Reliable Visibility Algorithms for Emergency Stop Systems in Smart Industries
- 2022
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Ingår i: Proceedings - 2022 IEEE 46th Annual Computers, Software, and Applications Conference, COMPSAC 2022. - : Institute of Electrical and Electronics Engineers Inc.. - 9781665488105 ; , s. 89-94
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Konferensbidrag (refereegranskat)abstract
- Automated machinery and robots working with humans are the norm in modern smart industries. A previous work in this area proposed a tool for improving the safety of such work places: an emergency system which halts those machines that are visible from an emergency stop button when it is pressed [1]. The solution presented in this paper improves the reliability of the aforementioned one at the expense of a higher computational complexity. Furthermore, two algorithmic optimizations are presented to mitigate the extra computational cost as it is shown by the results collected from the set of experiments conducted.
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| 2. |
- Makila, Andreas, et al.
(författare)
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A Generic Software Architecture for PoE Power Sourcing Equipment
- 2022
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Ingår i: Proceedings - 2022 IEEE 46th Annual Computers, Software, and Applications Conference, COMPSAC 2022. - : Institute of Electrical and Electronics Engineers Inc.. - 9781665488105 ; , s. 1375-1380
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Konferensbidrag (refereegranskat)abstract
- Many hardware solutions for Power over Ethernet (PoE) Power Sourcing Equipment (PSE) exist, with slightly varying feature sets. A software solution is needed for interaction with the PSEs, and for managing a power budget across several PSEs. A generic interface is desirable, as well as generic software components that can be used in support of several PSE solutions. In this paper we present a union of features and real-time requirements for three hardware solutions, and the development of a generic software architecture.
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| 3. |
- Vitucci, Carlo, et al.
(författare)
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A Reliability-oriented Faults Taxonomy and a Recovery-oriented Methodological Approach for Systems Resilience
- 2022
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Ingår i: Proceedings - 2022 IEEE 46th Annual Computers, Software, and Applications Conference, COMPSAC 2022. - : IEEE. - 9781665488105 ; , s. 48-55
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Konferensbidrag (refereegranskat)abstract
- Fault management is an important function that impacts the design of any digital system, from the simple kiosk in a shop to a complex 6G network. It is common to classify fault conditions into different taxonomies using terms like fault or error. Fault taxonomies are often suitable for managing fault detection, fault reporting, and fault localization but often neglect to support all different functions required by a fault management process. A correctly implemented fault management process must be able to distinguish between defects and faults, decide upon ap-propriate actions to recover the system to an ideal state, and avoid an error condition. Fault management is a multi-disciplinary process where recovery actions are deployed promptly by com-bined hardware, firmware, and software orchestration. The importance of fault management processes significantly increases with modern nanometer technologies, which suffer the risk of so-called soft errors, a corruption of a bit cells that can happen due to spurious disturbance, like cosmic radiation. Modern fault management implementations must support recovery actions for soft errors to ensure a steady system. This paper describes an extended fault classification model that emphasizes fault management and recovery actions. We aim to show how the reliability-based fault taxonomy definition is more suitable for the overall fault management process.
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