Ali Sabzaliyev
Nakhchivan State University lecturer
ORCID iD: https://orcid.org/0009-0007-1755-4500
Annagi Asgarov Musa oglu
Nakhchivan State University lecturer
ORCID iD: https://orcid.org/0009-0004-1767-2863

Abstract
The article describes the features of using information technologies in the management of education. Two main directions are described: the management of a higher education institution as an organization and the management of knowledge delivery. Two main principles of higher education institution management have been identified: hierarchy and cyclicity. The education system is considered a complex organizational-technical system. The formation of the structure of educational materials is described.

 Keywords: education, education management, information, information technologies, management information technologies, education information technologies.

Zuleta Diana Patricia
Alvarado Natalia
Professor, UTE University, Faculty of Architecture and Urbanism, Quito, Ecuador

Abstract
This scientific article represents a detailed and comparative analysis of metal and concrete structures, two key options in the field of construction. The assessment focuses on several dimensions, covering key aspects such as structural strength, durability over time, environmental sustainability, and associated costs. Data for the analysis were obtained from a wide range of real structures, from skyscrapers to bridges, providing a solid foundation for the study.
Rigorous methods were applied, including static and dynamic tests, as well as life cycle analysis to obtain accurate and meaningful results. This multidisciplinary approach allowed for a comprehensive understanding of the advantages and challenges associated with each type of construction. The conclusions drawn provide valuable guidance for engineers, architects, and decision-makers in the construction industry.

Keywords: Metal structures, concrete, construction, strength, durability.

Tsitskishvili Z.
Academically Doctor of Mathematical Sciences,Professor
Museridze R.
Academic Doctor of Construction Sciences, assistant professor.
Chkheti V.
PhD student. Georgian Technical University

Abstract
Determining the complete picture of the stress-strain state (SSS) of massive elements (bodies whose overall dimensions are of the same order) requires the use of three-dimensional models.
A special case of a massive element—a parallelepiped-shaped plate—is one of the most common objects used in technology.
A large number of works have been devoted to the problem of the equilibrium of a loaded elastic parallelepiped, but it remains relevant to the present day, since a closed solution has not yet been obtained.
Existing analytical solutions for three-dimensional problems of the theory of elasticity do not allow satisfying arbitrary boundary conditions on the faces of a parallelpiped.
In the work under consideration, for one class of boundary value problems using the method of separation of variables and double series, solutions to static boundary value problems of thermoelasticity  for a rectangular coordinate parallelepiped are constructed.

Keywords: boundary value problem of thermoelasticity, stress-strain state, isotropic plate, equilibrium equations (without taking into account body forces), Equation of state (physical law or Hooke’s law), heat equation, Sturm-Liouville problem, method of separation of variables, double series, convergence.

Gorgidze D.
Doctor of Engineering Science, Professor, Georgian Technical University, Tbilisi.
Museridze R.
PhD in Civil Engineering, ,Assistant Professor, Georgian Technical University,
Georgian Technical University,Tbilisi

Abstract
In various orthogonal curvilinear coordinate systems, general solutions to the dynamic problem of the theory of elasticity for an isotropic homogeneous body are constructed. Dynamic problems of the theory of elasticity associated with pure shear, pure torsion, plane-strain and axisymmetric stress states are considered. Solutions to some specific dynamic problems are given.

Keywords: dynamic, curvilinear, coordinate, elasticity.

Ilchuk M.
 PhD Student
Lviv Polytechnic National University, Ukraine
Bandery, 12, Lviv, Ukraine, 79013
Stadnyk A.
PhD Student
Lviv Polytechnic National University, Ukraine
Bandery, 12, Lviv, Ukraine, 79013
Prokhorenko S.
Prof., Doctor of Technical Sciences
Lviv Polytechnic National University, Ukraine
Bandery, 12, Lviv, Ukraine, 79013

Abstract
The integration of automated quality control technologies is nowadays a fundamental requirement for modern PCB production. This automated approach replaces manually based methods that are error-prone with fast, accurate and measurable estimates, helping to reduce the time and costs associated with traditional testing. Human inspection is less efficient, slower and overpriced than automated inspection. In this context, digital image processing, especially for the detection of defects such as faulty components or missing elements, becomes crucial. The production of printed circuit boards requires strict quality control to ensure the reliability and efficiency of electronic devices. Improving the detection and analysis of defects on printed circuit boards is as critical as ever. In addition to this, we propose the concept that combining classical computer vision techniques, such as edge detection and Kenny contour analysis, with large language models opens up innovative possibilities in defect identification.
The main function of the system is to comprehensively detect defects on printed circuit boards using automated visual inspection. It uses a digital camera to capture images of each PCB, which are then processed by a computer. This processing includes converting to greyscale and binary shapes, followed by an XOR operation to extract the necessary information. Contour analysis is then applied for classification. Incorporating language models into defect documentation and description is a significant step in automating quality control, as they can not only describe defects but also suggest corrective measures.
This system is capable of detecting various PCB defects such as missing components, incorrect polarity, open circuits and missing tracks. Its advanced fault detection and classification increase the speed and accuracy of evaluation, reducing human error, which is prevalent in quality testing, and introduces a usable fault and defect notification, detailed description and reporting system. Replacing manual testing methods with this new model significantly increases productivity.

Keywords: Image Processing, Printed Circuit Board, Defect Detection, Edge Detection, Classification system, Large language system.