The use of artificial intelligence to diagnose the disease

This article explores the use of artificial intelligence in the medical field for diagnosing a disease, namely the identification of factors that affect the presence of a brain tumor. Modern medical technologies are developing rapidly, and artificial intelligence is becoming an increasingly important tool to help doctors in accurate and timely diagnosis of various diseases. The article focuses on the application of learning methods such as decision trees, Kohonen maps and neural networks. The development and application of artificial intelligence in medicine provides a huge potential for improving the diagnosis of diseases and increasing the effectiveness of treatment, which contributes to improving the quality of life of patients. However, do not consider the need for ongoing scientific support, testing and regulation to ensure the safety and reliability of the application of artificial intelligence in medicine

Monitoring the Activity of Industrial Facilities Using Satellite Images of the Heat IR Range

The results of the development and testing of the methodology for automated processing of satellite images of medium spatial resolution in the heat and short-wave IR range are presented. For the specified test areas, digital maps of the Earth’s surface temperature were obtained for the territories where oil refineries and chemical plants are concentrated. A comparative analysis of the results of automated recognition of heat radiation sources showed a fairly high degree of correlation between the results of processing images of the heat IR range and the results of processing images of the short-wave IR range. We also compared the results of automated recognition of heat radiation sources based on images of the same territory taken from different satellites at different times. The results of testing the proposed methodology confirmed the possibility and high efficiency of using night images from the Terra satellite (ASTER survey instrument) and from the Landsat-8 satellite (TIRS survey instrument) to monitor the production activity of large industrial facilities that are sources of heat radiation. #CSOC1120 © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG

Study of Melting Methods by Electric Resistance Welding of Rails

An analysis of the results of rail operation shows that up to a third of all rail breaks in the railway line and up to 12.9% of all withdrawn acute defective rails are associated with welded joints. This is largely explained by the formation of structures with martensite sections in the welded joints of rails and the formation of burns. This work presents the results of studying welded joints, obtained under three welding modes (continuous flash welding, pulsating flash welding and combined flash welding). The conducted studies have shown that the flash welding mode significantly influences both the cooling rate value and the very nature of the thermal cycle of the welded joint as a whole. Changes in the cooling rate under different modes exert a significant influence on the structure and properties of the weld. Resistance welding of rails from the steel grade E76HGF by pulsating flash welding can result in the appearance of needle martensite areas, which is the reason for increased embrittlement of the weld and a decrease in its properties. The conducted field experiments have reliably shown that in the conditions of the combined welding mode it becomes possible to avoid these problems. Moreover, a slight increase in the mechanical properties of the weld in the range of 2–4% has been experimentally recorded, and the destructive load of the welded joint of the rail increases by 2–3% at high values of the bending deflection. In turn, these factors allow a significant reduction in the number of cases of rail welded-joint failures in real conditions of their operation

The Parallel Genetic Algorithm for Construction of Technological Objects Neural Network Models

The parallel genetic algorithms implementation for neural networks models construction is discussed. The modification of this global optimization algorithm is proposed. The artificial neural networks are effective instrument to solve most problems of technological objectives and processes modelling. The article describes the aspects of genetic algorithms implementation for neural networks structure-parametric synthesis. It is offered to use different parallelization technique of genetic algorithm to increase computing performance. It is proposed to modify the standard multipopular parallel genetic algorithm adding its base topology dynamic adaptation. This approach allows to make effective algorithm with minimal computational difficulty. The algorithm modification shows best results, when implemented in computer network

The Parallel Genetic Algorithm for Construction of Technological Objects Neural Network Models

The parallel genetic algorithms implementation for neural networks models construction is discussed. The modification of this global optimization algorithm is proposed. The artificial neural networks are effective instrument to solve most problems of technological objectives and processes modelling. The article describes the aspects of genetic algorithms implementation for neural networks structure-parametric synthesis. It is offered to use different parallelization technique of genetic algorithm to increase computing performance. It is proposed to modify the standard multipopular parallel genetic algorithm adding its base topology dynamic adaptation. This approach allows to make effective algorithm with minimal computational difficulty. The algorithm modification shows best results, when implemented in computer network

Sustainability of Inclusive Education in Schools and Higher Education: Teachers and Students with Special Educational Needs

One of the significant factors in the sustainability of education is the development of inclusive education. An inclusive educational space implies openness and accessibility of education for students, regardless of their educational needs. Inclusive education also means a partnership between students and teachers. A teacher is a living person whose socio-emotional skills and professional abilities are the basis for the sustainability of education and student development. This article is devoted to studying teachers’ competence and psychological readiness at schools and higher educational institutions to work with students with special educational needs. This article includes the results of a sociological study conducted in September 2022 and is devoted to the readiness of schoolteachers and university professors for inclusive education (N = 125). The general statistical calculation was carried out based on information processing using the Vortex program version 10.0. Universities and schools are located in large administrative centers of Russian regions with a population of about a million. The relevance of this study is due to the relationship of sustainability with the ideas of inclusive education, manifested in its goal of achieving students’ educational levels established by the state and the humanistic concept of equality of opportunity in the process of professional implementation and self-determination of the individual

Mathematical Modeling of Induction Heating of Waveguide Path Assemblies during Induction Soldering

The waveguides used in spacecraft antenna feeders are often assembled using external couplers or flanges subject to further welding or soldering. Making permanent joints by means of induction heating has proven to be the best solution in this context. However, several physical phenomena observed in the heating zone complicate any effort to control the process of making a permanent joint by induction heating; these phenomena include flux evaporation and changes in the emissivity of the material. These processes make it difficult to measure the temperature of the heating zone by means of contactless temperature sensors. Meanwhile, contact sensors are not an option due to the high requirements regarding surface quality. Besides, such sensors take a large amount of time and human involvement to install. Thus, it is a relevant undertaking to develop mathematical models for each waveguide assembly component as well as for the entire waveguide assembly. The proposed mathematical models have been tested by experiments in kind, which have shown a great degree of consistency between model-derived estimates and experimental data. The paper also shows how to use the proposed models to test and calibrate the process of making an aluminum-alloy rectangular tube flange waveguide by induction soldering. The Russian software, SimInTech, was used in this research as the modeling environment. The approach proposed herein can significantly lower the labor and material costs of calibrating and testing the process of the induction soldering of waveguides, whether the goal is to adjust the existing process or to implement a new configuration that uses different dimensions or materials

Control of the induction soldering on the basis of process temperature indirect measurements

The article suggests the use of indirect measurements to control the process of induction soldering. Based on the equations of thermodynamics, it is proposed a scheme for approximating the temperature values in the solder zone on the basis of information from pyrometric sensors aimed at an area remote from the soldered joint site. A model-algorithmic instrument for indirect temperature measurements in the soldering technological process is developed, the scheme of which is presented in the article. The software of waveguide paths induction soldering control in the form of an already existing system module has been developed, which allows not only to carry out experimental studies on control algorithms, but also to implement a full-scale experiment, the results of which confirm the effectiveness of the proposed approach

The use of artificial intelligence to diagnose the disease

This article explores the use of artificial intelligence in the medical field for diagnosing a disease, namely the identification of factors that affect the presence of a brain tumor. Modern medical technologies are developing rapidly, and artificial intelligence is becoming an increasingly important tool to help doctors in accurate and timely diagnosis of various diseases. The article focuses on the application of learning methods such as decision trees, Kohonen maps and neural networks. The development and application of artificial intelligence in medicine provides a huge potential for improving the diagnosis of diseases and increasing the effectiveness of treatment, which contributes to improving the quality of life of patients. However, do not consider the need for ongoing scientific support, testing and regulation to ensure the safety and reliability of the application of artificial intelligence in medicine

Control of the induction soldering on the basis of process temperature indirect measurements

The article suggests the use of indirect measurements to control the process of induction soldering. Based on the equations of thermodynamics, it is proposed a scheme for approximating the temperature values in the solder zone on the basis of information from pyrometric sensors aimed at an area remote from the soldered joint site. A model-algorithmic instrument for indirect temperature measurements in the soldering technological process is developed, the scheme of which is presented in the article. The software of waveguide paths induction soldering control in the form of an already existing system module has been developed, which allows not only to carry out experimental studies on control algorithms, but also to implement a full-scale experiment, the results of which confirm the effectiveness of the proposed approach