ANALYSIS OF MEANS OF IMITATION MODELING USED FOR THE STUDY OF MANAGEMENT PROCESSES IN MEDICAL INSTITUTIONS

The article considers the common media of event and multiparadigmatic modelling, as applied to the modelling of the processes of medical institutions to serve the public. The possibilities of managing these processes and optimizing the use of available resources are considered. Formulated recommendations on the use of computer environments in the analysis of business processes and processes of care for the population

MODELLING OF THE BAGULAR ANEURYSMS OF THE WALL OF THE BLOOD VESSEL TAKING INTO ACCOUNT THE RHEOLOGICAL PROPERTIES OF THE BLOOD

The article presents some results of the modeling of the bag-like aneurysm by the finite element method. The model takes into account the specificity of the blood flow from the point of view of various rheological models, as well as a significant change in the shape of the saccular aneurysm depending on pressure

SOFTWARE COMPLEX FOR PARTS RECOGNITION AS THE BASIS OF EDUCATIONAL LABORATORY WORK

The article discusses the scientific and methodological foundations of laboratory work in vision systems using the author's algorithms for pattern recognition. The results were used to prepare masters of technical specialties at the Pskov State University. Another approach to using digital technologies for processing images of the working area is proposed. Some aspects of solving problems of identification of parts, determination of their location, control in automated assembly is described. The hardware-software complex in the article performs data processing and measurements in parallel with the flow of the technological process. The hardware and software complex expands the capabilities of flexible assembly platforms when assembling parts with different mass-inertial characteristics due to the geometric shape and dissimilar materials

MODIFICATION OF THE MINIMAL BERGMAN MODEL OF THE "INSULIN-GLUCOSE" SYSTEM AND ITS IMPLEMENTATION IN MATLAB/SIMULINK

The article discusses a modification of Bergman's minimal mathematical model of the "insulin-glucose" system, which allows simulating controlled exogenous sources of glucose and insulin into the patient's blood on the model and investigating the dynamics of changes in their concentrations in normal conditions, in type I DM and type II DM. A modeling scheme is presented in graphic notations of the MatLab / Simulink computer mathematics system and a number of computational experiments on it are described to determine the type of glycemic profiles of glucose and insulin concentration in the patient's blood in the noted situations. The fundamental possibility of using model mappings in the MatLab/Simulink environment for the study and tuning of the loop for automatic regulation of the "insulin-glucose" balance in the patient's blood using a controlled insulin pump is demonstrated. It was also found that the modified minimal model can be customized for a specific patient with diabetes, which makes it possible to use it to solve the problems of individual prediction of the development of a diabetic disease in a specific patient. In addition, the described model makes it possible to recreate and virtually investigate various conditions and cases on it that affect the dynamics of insulin and glucose concentrations in the patient's blood, for example, when he performs physically stressed activities, in the presence of the effects of “aging” of insulin-producing cells in the pancreas. iron, etc.

TO THE SOLUTION OF SOME PROBLEMS OF DEVELOPING ASSEMBLY TECHNOLOGY BY MODELING ASSEMBLIES IN CAD SYSTEMS

Considers the features of the automated design of technological processes of assembly of products in mechanical engineering, in terms of their impact on production processes

RESEARCH OF APPROACHES TO CONSTRUCTING PREDICTIVE MODELS OF THE SPREAD OF VIRAL DISEASES

The article is devoted to the analysis of the available mathematical models in epidemiology and the possibility of their modification. We note that the situation with the COVID-19 virus pandemic is characterized by several features not comprehensively studied in the existing models. For a rational response to existing challenges, it is necessary to have a predictive and analytical apparatus in the complex (national and regional scale) mathematical models with a planning horizon of 2 years (the expected period of mass production of vaccines). The article discusses the existing approaches to predicting the spread of the COVID-19 virus in Russia based on mathematical models of epidemics. The possibilities and limitations of the proposed approaches are considered. In the conditions of the Russian Federation, transport connectivity at the interregional and intraregional levels plays an important role, and for megalopolises - transport flows within large agglomerations and the age structure of the population. In contrast to previous pandemics and epidemics, public policy plays a significant role. The approach, which consist in building multi-agent models that combine the advantages of compartment models and models based on the Monte Carlo method (individually oriented) is proposed by the authors. It is planned to use compartment models to assess the dynamics of the process and individually-oriented models - at the level of individual territories and districts.

MODELING THE OPERATION OF A GALVANIC BATH WITH ELECTRIC HEATERS AND OPTIMIZING ITS DESIGN BASED ON NUMERICAL SIMULATION

A model of the processes in a galvanic bath during heating is based on the finite element method. The processes of heating the air chamber and directly the reagent solution are simulated. Based on the constructed model, an automatic control system for heating elements is being developed, which provides a sufficient heating rate, a stable temperature and protects the heating elements from burnout. An application program has been created that allows performing the calculations without studying complex modeling systems.

Japanese Pupils’ Speech Behaviour (Based on the Material of School Blogs)

This paper is devoted to the linguistic approach of describing the verbal behavior of Japanese pupils. The relevance is due to not only completing in terms of to the anthropologic paradigm, but also due to the growing interest in researching a language as an object of globalization where individuals interact in accordance with settled social and linguistic options. The material of the present research is the school blogs of the social internet service ブログ村 /burogu mura/. The object is the features of Japanese pupils’ verbal behavior. The results were obtained according to the highlighted methods of sociolinguistic research and methods of theoretical and empirical inquiry.Данные тезисы посвящены рассмотрению речевого поведения японских школьников. Актуальность данного исследования обусловлена не только выполнением в рамках действующей антропо-центрической парадигмы, но и растущим интересом к изучению языка как объекта глобализации, где индивиды вступают во взаимодействие друг с другом в соответствии с заданными социолингвистическими параметрами. Материалом послужили школьные блоги интернет-сервиса ブログ村 /бурогу мура/. Результаты получены в соответствии с выделенными методами социолингвистического исследования, а также теоретического и эмпирического познания

Detection of hidden attacks to telecommunication company on the basis of the data mining technologies

In this article we consider an approach of analysis the telecommunications company customers information using data mining technology. The purpose of this work is to develop a software solution for identifying customers who behave abnormally compared to ordinary customers. To solve the problem the method of cluster analysis is used, with k-means, method of support vector machines (SVM) and nonstandard method of initializing k-means++ centroids. With the application of the developed programs, the analysis of the data obtained and the identification of customers who are suspected of hidden attacks on the company are identified. To classify the new data the classifier is developed, which is trained on large data sets and based on SVM