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Performability Measures of the Public Mobile Network of a Tele Control Systeme predicted by using stochastic models. The Tele Control System has the aim of reducing the number of accidents inside the alpine road tunnels, by implementing safety policies between Instrumented Vehicles and a Tunnel Control Centre, by means of a PMN. The use of the PMN, which supports both Global唤醒 发表于 2025-3-24 02:06:47
PLC-Based Safety Critical Software Development for Nuclear Power Plantsontrollers. To improve software safety, we write the software requirements specification using a formal specification notation named NuSCR . NuSCR specification is then mechanically transformed into semantically equivalent Function Block Diagram(FBD), a widely used PLC programming language. Final过剩 发表于 2025-3-24 02:37:47
Compositional Hazard Analysis of UML Component and Deployment ModelsML as an advanced object-oriented technology provides in principle the essential concepts which are required to handle the increasing complexity of these safety-critical software systems. However, the current and forthcoming UML versions do not directly apply to the outlined problem. Available hazar相互影响 发表于 2025-3-24 09:55:21
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Safety Requirements and Fault Trees Using Retrenchmentthis model is enriched with the detail required to deal with envisaged faults that the system is designed to be robust against, resulting in a concrete extended system model. Normally, conventional refinement cannot provide a formal account of the relationship between the two models. Retrenchment, aConclave 发表于 2025-3-24 21:10:18
The Effects on Reliability of Integration of Aircraft Systems Based on Integrated Modular Avionicstware–tool for interactive reliability analysis and evaluation of aircraft system configurations on the IMA platform. For this, a hybrid system model of each aircraft system, being composed of a reliability block diagram model and a model of hierarchical, concurrent finite state machines, is essenti痴呆 发表于 2025-3-25 00:17:43
The Beecham Manual for Family Practicey Critical Artificial Neural Network’ (SCANN). The SCANN can be used for nonlinear function approximation and allows certified learning and generalisation. A discussion of benefits for real-world applications is also presented within the paper.