Complex Automatic Determination of Morphological Parameters for Bone Tissue in Human Paranasal Sinuses

Introduction: Application of automated analysis currently occupies a leading position in every field of science and technology. The aim of our study was to provide a complex automatic determination of morphological parameters for bone tissue in human paranasal sinuses. Materials and Methods: The study involved 50 patients aged 20 to 60, male and female without signs of inflammatory or other pathological processes in the paranasal sinuses (PNSs). Results: Bone density in a high-contrast image of the section can be determined by fluctuations in colour intensity. Before cleaning, the image is blurred using the Gaussian function. As a result of this operation, the images become less clear and small details merge. An algorithm known as the Connie Border Detector has found widespread use. The curves denoting the contours can run vertically, horizontally or diagonally at different angles. Detection of the direction of curves passing vertically and horizontally is not complicated, and for curves of the diagonal direction, the Sobel operator is used, with the vertical direction Gy and horizontal Gx as the value of the first derivative. Selection of areas of bone tissue requires the assessment of brightness gradient along the long side of the area. For clarity, this operation was shown graphically. Conclusion: Within the scope of this work, we have developed a method for an automatic comprehensive assessment of the morphological structure of the PNSs walls with the measurement of bone density and thickness.

The model of facture of Russian poetic texts

При исследовании зависимости смыслового содержания поэтических текстов от их метроритмических характеристик и строфики возникает необходимость в описании фактур - совокупностей названных характеристик поэтических текстов. В статье сформулировано определение фактуры - структурной модели поэтического текста, которая однозначно определяет метроритмический и строфический шаблон стихотворного текста; представлены алгоритмы определения метра и стопности, а также строфики стихотворения, позволяющие определить его фактуру. В ходе работы создана таблица всех фактур, встречающихся в стихотворениях А.С. Пушкина, с приведением примеров строф для каждого типа фактуры The dependence of the semantic content of poetic texts on their metrorhythmic characteristics and the structure of stanzas requires describing the factures - the combination of these characteristics of poetic texts. The purpose of this article is to formulate the definition of facture as a structural model of a poetic text, which uniquely determines the metrorhythmic and strophic pattern of a poetic text, and also to develop the algorithms for automatic determination of facture. To achieve this goal, an algorithm for automatic determination of meter and number of feet, as well as the algorithm for automatic determination of the structure of stanzas of poems, has been developed. A distinctive feature of the algorithm for automatic determination of meter and number of feet of poems is to take into account the real problems of accentuation, which are associated with the presence of homographs, proclitics, etc., moreover, in the case of detection of a lexeme in a line that cannot be unambiguously accentuated using the automatic accentuation methods, it is used to establish the possible accentuation “by analogy” based on the accentuation of unambiguously accentuated lines. The algorithm for automatic determination of the structure of stanzas is based on the identification of the rhyming lines on the basis of their consonance. The testing of the algorithm was carried out on the corpus of poems by A.S. Pushkin, for which the "Metric Reference Book"was manually created in the 1930s with a description of metrorhythmics and stanzas. The developed algorithm showed the almost complete compliance of the results of the automatic determination of the factures with the metrorhythmic and strophic characteristics given in the reference book. Thus, the algorithm for automatic facture detemination which is developed and programmatically implemented by the authors of the paper, can be a reliable tool for the complex analysis of metrorhythmic and strophic characteristics of Russian poetic texts

Application of clustering algorithms to analyze the customer base of the store

This paper analyzes the buyers of the BigCar store, which sells spare parts for trucks, using clustering methods. The algorithms of k-means, g-means, EM and construction of Kohonen networks are considered. For their implementation, the Loginom Community analytical platform is used. Based on sales data for 3 years, buyers are divided into 3 clusters by implementing the k-means, EM algorithms and building a self-organizing Kohonen network. An EM algorithm was also performed with automatic determination of the number of clusters and g-means, which divided buyers into 9 and 10 clusters. The analysis of the resulting clusters showed that the results of the k-means and Kohonen algorithms are better suited to increase sales efficiency.

Device for automatic determination of inclination angles of means of mechani-zation of technological processes in agro-industrial complex

The article describes the problem associated with the loss of stability of means of mechanization of agro-industrial processes by machine-tractor units (transport, stealing, automobile and automobile trains, combines, and lifting cranes). It is noted that this circumstance leads to overturns, accidents, injuries, fires, often accompanied by fatalities. In support of the above, information is summarized on the number of injuries among women and men in the country's agro-industrial enterprises (including lethal ones). It is noted that this is due to the fact that these units are not equipped with devices that signal, automatically notify operators operating in conditions of irregularities in the terrain of fields and roads (mountainous areas) about the achievements of maximum inclination angles, the excess of which leads to overturns. In order to eliminate these situations, a device is justified and based on extensive research, automatically signalling and visually and soundly about reaching the limit angles (for a given machine) of stability in order to take measures by the operator to prevent overturning. Equipping these machines with the proposed innovative device will eliminate the possibility of overturns and related accidents, injuries, fires, providing a socio-economic effect.