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Titlebook: Computer Safety, Reliability, and Security; 25th International C Janusz Górski Conference proceedings 2006 Springer-Verlag Berlin Heidelber

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System of Systems Hazard Analysis Using Simulation and Machine Learninghese systems. This paper explores the use of machine learning techniques to extract potential causal relationships from simulation models. This is illustrated with a case study of a military system of systems.
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On Certain Behavior of Scale-Free Networks Under Malicious Attackstre of gravity of node degree distribution and other. To the best of our knowledge, these measures are proposed for the first time. Our results confirm that the migration process steps relatively fast.
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Exploring Resilience Towards Risks in eOperations in the Oil and Gas Industryr resource allocation to production and to security/safety. The simulation model allows studying the resilience of the system depending on management policies and incidents as represented in the risk matrix. We show that there is a region where the system behaviour is very sensitive to changes in resource allocation and to incidents.
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Software Safety Lifecycles and the Methods of a Programmable Electronic Safety System for a Nuclear o the software development, testing, and safety analysis processes of international standards. The safety assessment of the software for the KNICS Reactor Protection System and Programmable Logic Controller is a joint Korean/German project. The assessment methods applied in the project and the experiences gained from this project are presented.
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Conference proceedings 2006hed in 1979 by the European Workshop on Industrial Computer Systems, Technical Committee 7 on Safety, Reliability and Security (EWICS TC7), SAFECOMP has continuously contributed to the progress in high integrity applications of information technologies. The conference focuses on the state of the art
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