A number of approaches and methods was developed for creating of global electronic space monitoring program means. The means allow to quickly actualize professional electronic scientific and educational resources.
The aim of the project was a further development of the theory of pseudo-regular and special functions and their applications to limit theorems of renewal theory, study of asymptotic behaviour of solutions to stochastic and deterministic differential equations, investigation of linear and non-linear models in stochastic analysis, statistics of stochastic processes with long-term and short-term dependence, integral equations and transforms.
In the project:
For the reason increasing of metallurgical value charge materials domain production was researched possibility of the reception partly metallize pallets from ore-flux-fuel composition. As main raw material was used iron-ore concentrate Inguleckogo GOKa (64,7 % Fe), with additive coke breeze of fraction 0-3 mm and quicklime, which then mingled and were granulated on plate granulator. Got pellets (with 12-17 % dispersed carbon) after fixing on surface defensive layer by thickness 2,0-2,5 mm from mixture of the concentrate and quicklime (1:1) mingled with solid fuel.
Three ways of converting waste into energy or electricity are combined in this research. The first way concerns the energy conversion of wastewater organic compounds into hydrogen and electricity in biofuel cells. The second one is based on conversion of solar energy and organic compounds energy with using of inorganic photocathode in biofuel cell to produce hydrogen. The third way concerns the conversion of solar energy and inorganic waste gases on lipids of phototrophic microalgae. This combination of processes allows to convert different wastes into energy carriers and electricity.
The principles and hardware / software solutions to build a telecommunication system broadband Internet access with Gigabit bandwidth in the frequency range 128-134 GHz to solve congestion frequency bands used today, a substantial increase in the data rate of wireless radio access systems, and the creation of ultra high radio relay lines of the new generation.
On the base of the results determined by using modern physical material science methods scientific principles referred to relationships for combined effect of sever plastic deformation and temperature on diffusive processes, phase transformation, evolution of structure and thermal stability of mechanical properties of nanostructured composite Al alloys reinforced by ultra fine particles of metastable quasicrystalline phases has been developed for the first time.
New conception of building of industrial multi-level autonomous invertors on the base of spectral orthogonal transforms of discrete functions with m-ary argument and m-ary counting system. Means and devices to compensate reactive load power for autonomous multi-level invertors are developed. Method for building of energy-supply systems on the base of multi-level invertors and parallel filter-compensating devices is proposed. Structure of power part and control system of three-phase autonomous invertors and system for providing of assigned value of non-symmetry factor are developed.
Highly effective sorbent materials were received with the help of modification of their surface by quaternary ammonium salts, inorganic polyhydroxocomplexes of metals and iron compounds for water purification contaminated with heavy metals and natural radionuclides. There were defined the basic principles of nanomaterials' synthesis on the base of dispersions of layered silicates with specified physical and chemical characteristics and structure.
Were developed the software and technical basis of the virtual computer lab (VL) based on cloud technology. The main difference from the cloud services offered by the Internet in recent years - the advanced features for users with the ability to use interactive physical laboratory tools from both the server and client-side depth management of virtual machines and infrastructures.
A new technique of the data mining was proposed that combines the causal networks and methods for risk assessment in the form of stochastic volatility models. The approach includes the following stages: (1) definition and classification process critical elements under study, in order to identify and characterize risk factors; (2) constructing causal model in the form of believe Bayesian networks; (3) create a set of candidates scenarios process; (4) modeling and evaluating the risks of the critical factors based on Bayesian stochastic volatility models using methods of optimal filtering.
