The article discusses a blind testing technique aimed at simplifying the development and debugging of software modules that are part of more complex functional blocks. The method is based on collecting input and output data from the module under study during the operation of the entire unit, which allows you to build a specialized test program without the need to fully understand the internal logic of the interacting components.

Keywords: digital electronic module, functional testing, testing, logic analyzer, reduced model, automatic test synthesis, machine learning.

A new method for searching for equivalent parts using machine learning models has been proposed, which allows for increased efficiency in automated production technology preparation systems (APTP) as well as the responsiveness of technological preparation for production. Two types of machine learning models for searching for equivalent parts have been considered, namely a multilayer perceptron and a convolutional neural network. It is shown that the convolutional neural network is better suited for the task of finding equivalent parts, with the technological processes being the basis for newly created ones, according to all criteria defined in the study. The essence of the method lies in applying machine learning to automate the search for analog part details in the ASTPP.

Keywords: technological preparation of production, artificial intelligence, search for analogous parts, technological process.

The article proposes a method for improving the reliability of defect detection in glass products in automated machine vision systems used in industrial production. The main types of defects in glass containers that affect the strength and performance characteristics of products are considered. It is shown that the use of optical inspection methods alone limits the ability to detect certain types of defects related to the transparency of the material and the presence of internal inclusions. The proposed method is based on the combined processing of computer vision data and spatial measurements, which increases the informative value of inspection and reduces the probability of missing defective products. An algorithm for the functioning of the control system has been developed to ensure automated decision-making on product quality.

Keywords: glass products, quality control, glass defects, machine vision systems, automated control.

The study proposes modernization options for machine vision-based systems for monitoring excavator bucket tooth wear, including adaptive algorithms for harsh operating conditions, reduction of false positives, and wear prediction. Key requirements for such systems are formulated, taking into account industry trends. To address current challenges (dependence on image quality, lighting issues, and algorithm limitations), measures to enhance robustness and integrate additional data are recommended.

Keywords: bucket tooth wear, mining excavators, machine vision, monitoring, automation, wear prediction.

An analysis of the structural features of polycrystalline zinc oxide (ZnO) layers doped with Group III, IV elements (Al, Ga) for use as transparent electrodes has been carried out. The main focus is on the role of grain boundaries (GBs) as the key element limiting charge carrier mobility. The mechanisms of columnar morphology formation in layers synthesized by magnetron sputtering and its impact on charge transport are examined in detail. It is shown that the segregation of doping impurities (using Al as an example) at GBs is a critical process that disrupts oriented growth and forms potential barriers to current flow. Original technological approaches to suppressing undesirable columnar structure are discussed, including the co-sputtering method using a metallic zinc target and a ceramic ZnO target, as well as morphology control via ion bombardment (with oxygen and xenon). The work summarizes current understanding of the relationship between low-temperature synthesis conditions, the microstructure of polycrystalline ZnO-based layers, and their functional characteristics, which determine their efficiency in information display systems.

Keywords: polycrystalline layers, grain boundaries, potential barrier, potential well, carrier transport.

The work on the study of a new material for analytical cuvettes in the far and near ultraviolet regions using a developed spectrophotometric installation is focused. Optical spectroscopy methods are easy to use, make it possible to obtain qualitative and quantitative interpretation of data, and are accessible to most researchers, so their use in scientific research is promising and relevant. The optical parameters (transmission coefficient) of cuvettes made of special quartz glass of different sizes in the near and far ultraviolet wavelength regions are measured. Experimental results of the tested samples were obtained, where it can be seen that the distribution curves of all samples do not have troughs and spikes, and the transmission coefficient values were in the wavelength range from 190 to 260 nm in the range from 70 to 97 %, in the range from 270 to 420 nm were about 97 %.

Keywords: spectrophotometric method, cuvette, transmission coefficient, wavelength range, data interpretation, spectra, mirror lens, diffraction grating.

The article presents the justification of design solutions, a description and calculation of the geometric model of the shielding filter for ionizing cosmic radiation for scientific equipment «Tritel-B», a description of the design of a six-channel dosimetric telescope with PIPS detectors.

Keywords: ionizing space radiation, semiconductor detector telescopes, dosimetry.

A comprehensive energy indicator is proposed for assessing the quality of the thread surface formation process using a generator-based cutting scheme. The possibility of standardizing the geometric accuracy of taps is considered based on analytically derived equations for the relationship between the cutting force and the parameters of the tool's cutting element.

Keywords: geometric accuracy, accuracy standardization, tap, energy criterion.

This article provides a brief description of the equipment presented at the 2025 Testing & Control exhibition. More than 130 exhibitors, including Russian and international manufacturers, integrators, and suppliers, participated in the exhibition. A wide range of measuring and metrology equipment, testing equipment, non-destructive testing, diagnostic and monitoring systems, analytical and laboratory equipment, production control equipment, and additive manufacturing components were showcased.

Keywords: measurements, testing, equipment, integrated systems, technologies.