1,721,043 research outputs found
A Neural Approach to the Interpretation of the Optical Flow for Rigid Motion: Planar Case
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Applicazione di una rete neurale ad apprendimento progressivo allo studio dei sistemi di potenza
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Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Definition and Bayes Estimation of Stochastic Safety Index: Application to Cable-Way Point
No full textThe aim of the paper is to define a probabilistic methodology for the definition of a stochastic safety index, and to show a possible estimation method based upon Bayesian inference. As an important application of the proposed methodology, the attention is focused upon cable-way plant design. The method was applied to data froma a real cable-way plant, situated at the Department of Electrical Engineering of the University of Palermo. This paper presents and discusses the results of a first series of experimental tests for system safety evaluation. For this purpose, a stochastic index for the braking system is first presented and discussed; then, its Bayesian estimation is developed and its feasibility and efficiency shown, with reference to field data and extensive Monte Carlo Simulation. Finally, studies on the robustness of the estimate have been performed with excellent results
Definition and Bayes Estimation of Stochastic Safety Index: Application to Cable-Way Point
No full textThe aim of the paper is to define a probabilistic methodology for the definition of a stochastic safety index, and to show a possible estimation method based upon Bayesian inference. As an important application of the proposed methodology, the attention is focused upon cable-way plant design. The method was applied to data froma a real cable-way plant, situated at the Department of Electrical Engineering of the University of Palermo. This paper presents and discusses the results of a first series of experimental tests for system safety evaluation. For this purpose, a stochastic index for the braking system is first presented and discussed; then, its Bayesian estimation is developed and its feasibility and efficiency shown, with reference to field data and extensive Monte Carlo Simulation. Finally, studies on the robustness of the estimate have been performed with excellent results
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