Scientific Journal of KubSAU

The new methods for system-cognitive analysis to identify and present graphical visualization of causal functions from the large dimension empirical data and its software tools - «EIDOS» system are discussed.

The earthquake forecast model based on the astronomical data using the artificial intelligence system is developed

It is shown that random events occurring on Earth and uniformly distributed in time, have a distribution, depending on the polar angle and radial coordinate in the plane of Earth's orbit. The general dependence of the density distribution functions in continuous and discrete case was obtained. It is shown that the social reaction of a large group of actors on the impact of celestial bodies can be described by a function of the root-mean-square deviation of the normalized frequency of choice, depending on the radial velocity or time derivatives of gravitational potentials of celestial bodies

On the basis of semantic information models examined the dependence of parameters of seismic activity on the gravity of celestial bodies. The regional semantic information model of climate is developed

The paper describes the research technology in the astrosociotypology, the results of verification of the astrosociotypology basic hypothesis about the information impact of celestial bodies in a large group of respondents, as well as a theory of astrosociotypology and its application

The article discusses the expansion of artificial intelli-gence "Aidos-Astra" for applications with the empirical data of high dimensionality. Application, written in the language JAVA, allows you to prepare and visualize the information content of the matrix without re-strictions imposed by the architecture of the system "Aidos-Astra "

Dependence of the Earth seismic activity, magnetic field and polar motion on the sunspots number is ex-amined on the basis of semantic information models

Artificial intelligence system “Aids-Astra” for scientific research of global geo-systems depending on astronomical parameters of Solar system celestial bodies is discussed

The currency forecast model based on the astronomical data using the artificial intelligence system is developed

The model of the turbulent boundary layer over a rough surface is presented. The model is based on the special type of transformation of the Navier-Stokes equation. The turbulent boundary layer in this model is considered as a flow above the rough surface gener-ated by the viscous sublayer (the dynamic roughness effect). The roughness density effect on the shift of the mean velocity logarithmic profile has been estimated in the case of 2D and 3D roughness elements