1,720,995 research outputs found

    Gambling for leadership : verification of root contention in IEEE 1394

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    Contains fulltext : 18759_gambfolev.pdf ( ) (Open Access)33 p

    An introduction to probabilistic automata

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    Processes and their identifiers in synchronous network systems

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    Contains fulltext : 18683_procanthi.pdf ( ) (Open Access)27 p

    A tutorial on interactive markov chains

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    Interactive Markov chains (IMCs) constitute a powerful sto- chastic model that extends both continuous-time Markov chains and labelled transition systems. IMCs enable a wide range of modelling and analysis techniques and serve as a semantic model for many industrial and scientific formalisms, such as AADL, GSPNs and many more. Applications cover various engineering contexts ranging from industrial system-on-chip manufacturing to satellite designs. We present a survey of the state-of-the-art in modelling and analysis of IMCs. We cover a set of techniques that can be utilised for compositional modelling, state space generation and reduction, and model checking. The significance of the presented material and corresponding tools is highlighted through multiple case studies

    Google-storing komt hard aan

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    Risk management for high tech systems

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    Google-storing komt hard aan

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    Contains fulltext : 227511.pdf (Publisher’s version ) (Open Access)15 december 202

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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