Runtime enforcement (RE) is a technique where a so-called monitor modifies the execution of a system to comply with a desired property. RE consists in using a so called monitor to modify an input sequence of events so that it complies with the property. Very few convincing applications of runtime enforcement have been proposed so far since most of the proposed approaches remain on the theoretic...

This paper discusses the application of three different nonparametric methods for decomposing images into regions which exhibit special stochashc es, together with the statistics in connection With steps in the emplrical estimated distribution functions; 2) detection of stochastic informahon wi image by hypothesis testing; 3) rank order stahstics to ose the different types of stochastic mthin a...

This paper discusses the application of three different nonparametric methods for decomposing images into regions which exhibit special stochashc es, together with the statistics in connection With steps in the emplrical estimated distribution functions; 2) detection of stochastic informahon wi image by hypothesis testing; 3) rank order stahstics to ose the different types of stochastic mthin a...

Runtime verification can effectively increase the reliability of software systems. In recent years, parametric runtime verification has gained a lot of traction, with several systems proposed. However, lack of real specifications and prohibitive runtime overhead when checking numerous properties simultaneously prevent developers or users from using runtime verification. This paper reports on mo...

This paper discusses the application of three different nonparametric methods for decomposing images into regions which exhibit special stochashc es, together with the statistics in connection With steps in the emplrical estimated distribution functions; 2) detection of stochastic informahon wi image by hypothesis testing; 3) rank order stahstics to ose the different types of stochastic mthin a...

This paper discusses the application of three different nonparametric methods for decomposing images into regions which exhibit special stochashc es, together with the statistics in connection With steps in the emplrical estimated distribution functions; 2) detection of stochastic informahon wi image by hypothesis testing; 3) rank order stahstics to ose the different types of stochastic mthin a...

High-gain parametric down-conversion (PDC) is a source of bright squeezed vacuum, which is a macroscopic nonclassical state of light and a promising candidate for quantum information applications. Here we study its properties, such as the intensity spectral width and the spectral width of pairwise correlations. In agreement with the theory, we observe an increase in the spectral width by 27% co...

This paper discusses the application of three different nonparametric methods for decomposing images into regions which exhibit special stochashc es, together with the statistics in connection With steps in the emplrical estimated distribution functions; 2) detection of stochastic informahon wi image by hypothesis testing; 3) rank order stahstics to ose the different types of stochastic mthin a...

This paper discusses the application of three different nonparametric methods for decomposing images into regions which exhibit special stochashc es, together with the statistics in connection With steps in the emplrical estimated distribution functions; 2) detection of stochastic informahon wi image by hypothesis testing; 3) rank order stahstics to ose the different types of stochastic mthin a...

This paper discusses the application of three different nonparametric methods for decomposing images into regions which exhibit special stochashc es, together with the statistics in connection With steps in the emplrical estimated distribution functions; 2) detection of stochastic informahon wi image by hypothesis testing; 3) rank order stahstics to ose the different types of stochastic mthin a...