Starting from XMM-Newton EPIC-PN data, we present the X-ray variability characteristics of PKS 2155–304 using a simple analysis of the excess variance, σ XS, and of the fractional rms variability amplitude, Fvar. The scatter in σ 2 XS and Fvar, calculated using 500 s long segments of the light curves, is smaller than the scatter expected for red noise variability. This alone does not imply that...

We propose an enhancement to the parametric-decomposition method for calculating approximate steady-state performance measures of open queueing networks with non-Poisson arrival processes and non-exponential service-time distributions. Instead of using a variability parameter ca 2 for each arrival process, we suggest using a variability function ca 2 (ρ) , 0 < ρ < 1, for each arrival process; i...

Abstract In this paper, a novel technique based on fuzzy method is presented for chaotic nonlinear time series prediction. Fuzzy approach with the gradient learning algorithm and methods constitutes the main components of this method. This learning process in this method is similar to conventional gradient descent learning process, except that the input patterns and parameters are stored in mem...

Jordan and Graves (1995) initiated a stream of research on supply chain flexibility, which was furthered by Graves and Tomlin (2003), that examined various structures for achieving horizontal flexibility within a single level of a supply chain. In this note, we extend the theory of supply chain flexibility by considering placement of vertical flexibility across multiple stages in a supply chain...

The nature of the relationship between thought organization and primary process was explored by correlating clinical indicators of thought disorder on the Rorschach and formal primary process mechanisms in the dreams of 14 parents of schizophrenics recorded during a two-week period. The relationship between variability of primary process intensity and the Thought Disorder Index produced a negat...

Variability 2 3 Generate Significant Paths 7 Generate Optimal Path Combination 9 4 Specify Integrated Subsystem 5 6

Manufacturing and service systems typically have random components affecting their behavior such as the demand for products and services. Much of the focus will be given on understanding and applying quantitative methods that are useful in analyzing, designing, and operating stochastic systems. We will additionally present applications of these methods for understanding, managing and reducing v...

Healthcare organizations, which are facing the challenge of delivery personalized services to their patients, are obviously affected by the problems of flexibility and adaptability of their processes. This research is applied to healthcare processes in the context of AP-HM hospitals (Assistance Publique Hôpitaux de Marseille). In this paper, we consider specifically the drug circulation process...

estimating the amount of variation due to spatial dependence at different scales provides a basis for designing effective experiments. accurate knowledge of spatial structures is needed to inform silvicultural guidelines and management decisions for long term sustainability of forests. furthermore, geostatistics is a useful tool to describe and draw map the spatial variability and estimation of...