Vascular pathology symptoms can be determined by retinal image segmentation and classification. However, the retinal images from non-invasive diagnostics have a complex structure containing tree-like vascular beds, multiple segment boundaries, false segments, and various distortions. It should be noted that complex structure images’ segmentation does not always provide a single solution. Thus, the goal is to increase the efficiency of vascular diagnostics. This study aims to develop a technique for describing the geometric properties of complexly structured image segments used for classifying vascular pathologies based on retinal images. The advantages and disadvantages of the existing methods and algorithms of segmentation were considered. The most effective use areas of the mentioned methods and algorithms are revealed. Through detecting retinal thrombosis, the algorithm's efficiency for constructing a mathematical model of an arbitrary shape segment based on the morphological processing of binary and halftone images was justified. A modified variant of this algorithm based on the spectral analysis procedure of arbitrary shape boundary curves was used for the spectral description of complex shape curves for classifying vascular pathologies based on retinal images. Two approaches have been developed. The first one allows obtaining a closing segment of the curve from a symmetric mapping of the initial parametric curves. The second involves intelligent data processing and obtaining contours of minimum thickness, forming convex sets. The results of experiments confirm the possibility of practical use of the developed technique to solve problems of vascular pathology classification based on retinal images, showing the correct forecast probability was 0.93 with all associated risk factors. Doi: 10.28991/ESJ-2022-06-06-015 Full Text: PDF

In today's digital world, saturated with data flows, universal multifunctional systems are developing, capable of solving various problems related to optimizing the use of available computing resources. A distinctive feature of such systems is the heterogeneity of incoming flows of user requests due to the multifunctionality of modern information systems, expressed in supporting various multimedia services on a single platform. Data heterogeneity and large volumes of data create many problems related to the speed of digital systems and data storage security. The solutions can be found in artificial intelligence (AI) technologies, particularly machine learning. Therefore, development and implementation of digital telecommunication complexes for storing, processing, and forming a dynamic flow of multiformat data using AI technologies are becoming more relevant. This paper aims to identify trends and prospects for developing these complexes, and develop proposals on their perspective characteristics. The authors focused on review the experience of Russian organizations developing multi-object analytics systems and analyze the technical and functional characteristics of existing systems. The result of the review and analysis is a table with a comparison of the technical characteristics of existing complexes and proposals for characteristics that are promising for further implementation.

Calculation of the forming tool for rib cold rolling by the enveloping method is usually complex and very time-consuming. The cold rolling process is not always optimized, resulting in a poor quality of the rolled rib profile and premature failure of the forming tool. Improvement in techniques of rib rolling on metal heat-exchange tubes is a challenging technological task, which has defined the purpose of the present work - the study of the effect of the forming tool for cold rolling of ribs by enveloping method on the accuracy of geometrical dimensions of ribbed surfaces. Absence of a well-developed calculation methodology for this type of tool now adversely affects the rate of manufacturing application of rib cold rolling processes. Since the main task when introducing the rib rolling process is to achieve the required accuracy of the work-piece, it seems expedient to improve calculation methodologies allowing designing a forming tool for rib cold rolling taking into account the required accuracy of geometrical dimensions of the ribbed surfaces. The present work proposes a methodology that allows performing calculations of parameters required for manufacturing and supervision over various rolling tools. Experimental approbation data of the outlined methodology results are presented. Because of deformation processing without additional technological operations, the effect of surface hardening has been achieved, and the roughness of rolled ribbed surfaces Ra was 0.8 mm, which is comparable in quality only with fi nishing machining. It was demonstrated that when calculating the coordinates of profile points, the geometry of the lead-in, as well as rolls with a screw rib, it is particularly important to determine the angle of crush forming rolls and the y-coordinate of rolling bars as the main characteristics of the profile.

Существенным фактором эффективного функционирования антропотехнической системы является активное использование при подготовке управленческих решений информационных массивов с необходимыми для подготовки вариантов решений лицами, принимающими решения, и привлеченными экспертами. Во многих случаях для анализа подобных данных, наряду с использованием автоматизированных методов, оказывается необходимым проводить визуальный анализ, используя методы проектирования многомерных данных в пространство визуализации малой размерности. В работе представлены результаты разработки теоретического обоснования подобного алгоритма, ориентированного на интерактивную процедуру анализа.

Algorithmic Approach To The Assessment Automation of The Pipeline Shut-Off Valves Tightness