Izvestiya of Saratov University.
ISSN 1816-9791 (Print)
ISSN 2541-9005 (Online)

Computer Sciences

Optimal solution in the model of control over an economic system in the condition of a mass disease

In the conditions of а mass disease, governing bodies of an economic system face a number of tasks related to the need to minimize its negative effects. This requires a tool that allows timely predicting the dynamics of the situation and determining what measures need to be taken. In this paper, a specialized mathematical model is proposed as such a tool, taking into account socio-biological and economic factors. The model is a dynamic optimal control problem with a delay in phase variables.

Investigation of the need to use the variable value of the ballistic coefficient when modeling the trajectory of the bullet in the shooter simulator

When developing electronic shooting simulators for manual automatic weapons that do not use ammunition, it is necessary to achieve the maximum realistic modeling of the bullet flight path for each shot taking into account a set of factors. Traditionally, a system of differential equations of outer ballistics is used in modeling the trajectory.

Hierarchical risk analysis of unmanned aerial vehicle threat models

The relevance of the issues considered in the work is determined by the widespread use of unmanned aerial vehicles in human activities, the high accident rate and the need for scientific justification of the cost of their safety when used in various operating conditions, in particular, in systems for monitoring objects distributed in space. The purpose of the study is to develop recommendations for optimizing the costs of protection systems for unmanned aerial vehicles based on a hierarchical risk analysis of threat models.

Information processing for the decision support system for fire monitoring of forest areas

The purpose of our study was to formulate provisions for obtaining an integral assessment characterizing the rating of forest areas in terms of fire hazard. We obtained this estimate based on the aggregation of many parameters characterizing climatic conditions and factors that take into account anthropogenic influence in a given area of the forest. Considering the heterogeneity of such parameters, we used the methods of fuzzy inference and the theory of fuzzy sets to aggregate them.

Method of automatic search for the structure and parameters of neural networks for solving information processing problems

Neural networks are actively used in solving various applied problems of data analysis, processing and generation. When using them, one of the difficult stages is the selection of the structure and parameters of neural networks (the number and types of layers of neurons, activation functions, optimizers, and so on) that provide the greatest accuracy and, therefore, the success of solving the problem. Currently, this issue is being solved by analytical selection of the neural network architecture by a researcher or software developer.

The concept of medical decision support systems in surgery of the spinal pelvic complex

Russian clinical guidelines for the treatment of diseases and injuries of the musculo-skeletal system contain references to the need for careful preoperative planning. In Russian medical organizations, as a rule, the traditional approach to preoperative planning is used, which implies the use of acetate implant templates along with X-ray films.

Vertex extensions of 4-layer graphs and hypercubes

J. P. Hayes proposed a graph-based model of fault tolerant systems, which in a more abstract form corresponds to vertex and edge extensions of graphs. A graph $G^*$ is called a vertex $k$-extension of a graph $G$ if the graph $G$ is embedded in every graph obtained from $G^*$ by removing any $k$ vertices. If no proper part of the graph $G^*$ is a vertex $k$-extension of the graph $G$, then the extension $G^*$ is said to be irreducible. If a vertex $k$-extension has the minimum possible number of vertices and edges, then it is called minimal.

Impeller flowmeters as a tool for assessing blood flow in an experimental test bench

Many scientific groups are engaged in the development of experimental stands for assessing blood flow through large arteries. Such stands are used to verify the results of numerical modeling, as well as for direct analysis of hemodynamics or the behavior of vascular walls or biological tissue substitutes. When developing stands, a task arises which is selecting and calibrating flowmeters that are used to measure blood flow at the entrance to the vessel and at its exits.

Cognitive analysis of the structural stability for the knowledge-intensive sectors of the regional economy

The paper demonstrates the application of cognitive modeling methods to study the functioning problems of semi-structured complex economic systems. The aim of the research is to study the structural stability of the relationship between knowledge-intensive sectors and regional economy using cognitive analysis.

Assessment of the protection level of continuous production based on the Markov life cycle model

The article discusses the current level of development of automation technologies for continuous production, taking into account the compliance with the requirements of the fourth industrial revolution Industry 4.0. A new classification of the levels of industrial safety of production processes is proposed, taking into account the stages of the plan for the localization and elimination of emergency situations. The states of the life cycle of continuous production are determined, taking into account the proposed classification.