The co-channel interference for mobile users (MUs) of a public safety network (PSN) in the co-existence heterogeneous networks such as unmanned aerial vehicles (UAVs) and LTE-based railway (LRNs) needs thorough investigation, where UAVs are deployed base stations (BSs) cell-edge coverage enhancement. Moreover, LRN is employed train, its control signal demands high reliability low latency. It ne...

In this paper we explore a possibility that all transport turbulent models are contained in a coarse-grained kinetic equation. Building on a recent work by H.Chen et al (2004), we account for fluctuations of a single -point probability density in turbulence, by introducing a“two-level” ( c,v)-phase-space, separating microscopic (c ≡ cmicro = c− v) and hydrodynamic (v = v −V) modes. Unlike tradi...

Since they represent fundamental physical properties in turbulence (conservation laws, wall laws, Kolmogorov energy spectrum, . . . ), symmetries are used to analyse common turbulence models. A class of symmetry preserving turbulence models is proposed. This class is refined such that the models respect the second law of thermodynamics. Finally, an example of model belonging to the class is num...

The seminar discusses basic concepts of turbulence modeling in computational fluid dynamics (CFD). There are two mainstreams present in the field of interest. The first one are so called Reynolds averaged Navier-Stokes (RANS) models. RANS models are most widely used nowadays. Therefore theoretical aspects of RANS models are presented in more detail. The second mainstream presents direct numeric...

Recently there has been some progress in modeling the statistical properties of turbulent flows using simple superstatistical models. Here we briefly review the concept of superstatistics in turbulence. In particular, we discuss a superstatistical extension of the Sawford model and compare with experimental data. Turbulence is a spatio-temporal chaotic dynamics generated by the Navier-Stokes eq...

Abstract Zank et al. developed models describing the transport of low-frequency incompressible and nearly turbulence in inhomogeneous flows. The formalism was based on expressing fluctuating variables terms Elsässar then taking “moments” subject to various closure hypotheses. are different according whether plasma beta regime is large, order unity, or small. Here, we show explicitly that three ...

We used positron emission tomography to examine learning and retention of timed motor sequences. Subjects were scanned during learning (LRN) and baseline (ISO) on 3 d: day 1, after 5 d of practice (day 5) and after a 4 week delay (recall). Blood flow was compared across days of learning and between the LRN and ISO conditions. Overall, significant changes in activity were seen across days for th...