Discrete singular integrals in a half-space

We consider Calderon -- Zygmund singular integral in the discrete half-space $h{\bf Z}^m_{+}$, where ${\bf Z}^m$ is entire lattice ($h>0$) in ${\bf R}^m$, and prove that the discrete singular integral operator is invertible in $L_2(h{\bf Z}^m_{+}$) iff such is its continual analogue. The key point for this consideration takes solvability theory of so-called periodic Riemann boundary problem, which is constructed by authors.Comment: 9 pages, 1 figur

Dynamics Simulation Model for the Internal Combustion Engine Valve Gear

AbstractThe paper sets forth the refined estimation technique of internal combustion engine valve train stress loading on example of VAZ engine, obtained by means of developed simulation model of valve train dynamics research. The experimental research of valve spring coil oscillations by high-speed motion-picture technique is being considered as well

On Discrete Solutions for Elliptic Pseudo-Differential Equations

We consider discrete analogue for simplest boundary value problem for elliptic pseudo-differential equation in a half-space with Dirichlet boundary condition in Sobolev-Slobodetskii spaces. Based on the theory of discrete boundary value problems for elliptic pseudo-differential equations we give a comparison between discrete and continuous solutions for certain model boundary value problem

Synthesis of Nanoparticles of Fe-Co-Ni Three-component Alloy Capsulated Into Carbon Matrix of Fe-Co-Ni/C Nanocomposites

Nanoparticles of Fe-Co-Ni three-component alloy capsulated into carbon matrix were synthesized. Structure, phase composition and magnetic properties of obtained materials were defined by diffractometry and magnetometry. It was established that composition of nanoparticles is determine by synthesis temperature, because nanoparticles of three-component alloy are forms by dissolution of cobalt in Fe-Ni alloy. Magnetization of Fe-Co-Ni/C nanocomposites and coercive force increases from 26 up to 58 A·m2/kg during temperature increase that relates with growth of particles size and increase of cobalt content in the alloy

Synthesis of Nanoparticles of Fe-Co-Ni Three-component Alloy Capsulated Into Carbon Matrix of Fe-Co-Ni/C Nanocomposites

Nanoparticles of Fe-Co-Ni three-component alloy capsulated into carbon matrix were synthesized. Structure, phase composition and magnetic properties of obtained materials were defined by diffractometry and magnetometry. It was established that composition of nanoparticles is determine by synthesis temperature, because nanoparticles of three-component alloy are forms by dissolution of cobalt in Fe-Ni alloy. Magnetization of Fe-Co-Ni/C nanocomposites and coercive force increases from 26 up to 58 A·m2/kg during temperature increase that relates with growth of particles size and increase of cobalt content in the alloy

Discreteness, periodicity, holomorphy, and factorization

The main topic of the paper is to establish some relations between the solvability of a special kind of discrete equations in certain canonical domains and holomorphy properties of their Fourier analogue

Technological process monitoring system on the basis of artificial intelligence technology

The relevance of the work is due to the widespread use of network telecommunications in the automated process control system and the high level of danger of replacing, distorting or losing accumulated data on the process progress as a result of the attacker's influence. Objective: increasing the security of measurement results from unauthorized modification in the databases of information systems of an industrial enterprise by improving process monitoring system based on the intellectual analysis of technological time series. A structural scheme of process monitoring as part of an information protection system in a segment of an automated process control system network has been developed. The algorithm of intellectual analysis of technological time series in the task of detecting violation of the integrity of data on the process progress due to their unauthorized modification was proposed. Evaluated the effectiveness of the proposed solution on field data.This work was supported by the Russian Foundation for Basic Research, research No 17-48-020095

Intrusion detection system on the basis of data mining algorithms in the industrial network of automated process control system

The purpose of the work is to increase the security of the industrial network of an automated process control system based on intelligent network traffic analysis algorithms. The analysis of the problem of detecting and recording actions of violators on the implementation of a network attack on an automated process control system in the industrial network of an enterprise has been performed. A structural and functional model of the monitoring system of the industrial network of industrial control systems is proposed. An algorithm is developed for the intellectual analysis of network traffic of industrial protocols and a software package that implements the proposed algorithms as part of a monitoring system to evaluate the effectiveness of the proposed solution on field data.This work was supported by the Russian Foundation for Basic Research, research No17-48-020095

Decision support system for ensuring information security of an automated process control system

The problem of ensuring the information security of an automated process control system (APCS) is considered. An overview of the main regulatory documents on ensuring the safety of automated process control systems is given. For the operative solution of the tasks of ensuring information security of the automated control system of technological processes it is proposed to use an intelligent decision support system (DSS). An example of the construction and implementation of decision rules in the composition of the DSS based on the use of neuro- fuzzy models is considered.This work is partially supported by the Russian Science Foundation under grants No17-48-020095

Bank transaction text label mining algorithms

The banking transaction monitoring system implements decision support mechanisms for online payment control procedures for legal entities considering the dynamic risk profile of the client. The system includes a set of algorithms for the intellectual analysis of transaction parameters, including a text label for the purpose of payment, and decision support for an employee of the financial monitoring unit. The development of algorithms for analyzing textual labels for the purpose of payments allows us to clarify the dynamic payment profile of the user and increase the validity of the recommendations of the monitoring system. A block diagram of a system for identifying high-risk banking transactions based on data mining algorithms has been developed. Algorithms for data mining of textual labels of the payment purpose have been developed and the effectiveness of the proposed solution on field data has been evaluated. An algorithm is proposed for the phased analysis of the text label of the payment destination, including the stages of preprocessing, filtering, normalizing and constructing a classifier based on a set of regular expressions and intelligent analysis technologies. The difference between the algorithm is the use of adaptive category dictionaries and the multi-pass application of heterogeneous classifiers, which makes it possible to increase the validity of the decision on whether the transaction belongs to one of the selected classes