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Aleksandra Maksimova

Aleksandra Maksimova
Institute of Applied Mathematics and Mechanics · Theory control system

Doctor of Philosophy

About

13
Publications
620
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23
Citations

Publications

Publications (13)
Article
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1. In the context of deep socioeconomic inequality, the inclusion of high-income citizens in the sample survey program for households is highly unlikely and practically impossible. The use of even large samples in conditions of significant social stratification does not provide an objective picture of the distribution of the population by income. 2...
Article
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The article presents the modern features of inequality: the convergence of incomes of the overwhelming majority and dramatic distance between them and incomes of a small minority. The data on the mass perception of inequality are considered, including at the same time a public demand for increasing inequality in the lower strata of society and redu...
Article
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The aim of the work is to test the well-known prediction of Karl Marx about the tendency to reduce the income of the proletariat under capitalism. The United States has been selected as the object of study as an advanced capitalist country with a relatively weakly developed public sector of the economy compared to other advanced capitalist countrie...
Conference Paper
Full-text available
The aim is a criticism of generally accepted methods of graphical and numerical representation of inequality based on real, i.e. incomplete and distorted data, and a search for alternatives to generally accepted methods. Problems with the presentation of inequality are caused by the specific incompleteness of data on incomes. According to Rosstat,...
Conference Paper
Full-text available
The paper concludes that it is expedient to use distribution functions for the graphical representation of inequality, and the intensity of the exponential distribution for a quantitative representation of inequality. Distribution functions, unlike density distribution histograms, can be used to compare data from a wide variety of sources for any s...
Article
Full-text available
The purpose of this paper is to compare the shortcomings of the widely used inequality coefficients that appear when working with real (ie, knowingly incomplete) data and searching for alternative quantitative methods for describing inequalities that lack these shortcomings. Research methods: – consideration of an extensive range of as full as poss...
Article
Full-text available
The aim of the paper is to compare three different methods of graphical representation of the inequality: using frequency polygons, Lorentz curves and distribution functions. It is shown that for the representation of real (i.e. incomplete) data, the last is most appropriate. The method of investigation consists in verifying the conformity of the m...
Article
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We introduce an algorithmic model of heat conduction, the thermodynamic graph. The thermodynamic graph is analogous to meshes in the finite difference method in the sense that the calculation of temperature is carried out at the vertices of the graph, and the edges indicate the direct heat exchange between the vertices. Recurrence relations of heat...
Article
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This paper contains results related to synthesis and presentation of abstract automata by fragments of behaviour and investigates the structure of the classes of finite connected initial output-less automata specified by systems of defining relations considered as fragments, co-fragments, counter-fragments and co-counter-fragments of automata.
Article
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In this paper we propose a novel approach for pattern recognition problems with non-uniform classes of images. The main concept of this classification method is to describe classes of images with their fuzzy portraits. This approach is a good generalization of the algorithm. The fuzzy set is calculated as a preliminary result of the algorithm befor...
Conference Paper
In this paper we propose a new approach for pattern recognition problems with non-uniform classes of images. The main idea of this classification method is to describe classes of images with their fuzzy portraits. This approach provides good generalizing ability of algorithm. The fuzzy set is calculated as a preliminary result of algorithm before c...
Conference Paper
This paper deals with a novel method for knife detection in images. The special feature of any knife is its simple geometric form. The proposed knife detection scheme is based on searching object with corresponding form. Fuzzy and possibilistic shell clustering methods are used to find contours of objects in the picture. These methods give as a res...
Conference Paper
This paper deals with a method of dangerous situations identification based on fuzzy classifiers composition. In this article a formal hierarchical model of the situation presentation is offered. The security problem in a bank is given as an example. Dangerous situations can be recognized by analysis of pictures from security cameras. This applied...

Projects

Projects (2)
Project
For the chemical and food industries it is necessary to introduce methods of machine learning. The main goal of this investigation is reasearch of identification methods and technology of theirs perfomance. We are analysing fuzzy approach and abilities of other standard machine learning algorithms as bayesian and SVM.
Project
To get the equal rights for directions in modeling the thermal conductivity, we have decided to use a grid built by Monte Carlo and consider it as a graph. The idea to use the graphs for temperature field modeling led to a new idea to avoid partial differential equation (PDE).