The paper considers a model of a portable device for early detection of hydrocarbon leaks in the gaseous and liquid phases. The algorithms of its operation and the results of experimental studies of sensitivity and speed to one type of hydrocarbon are presented.

Keywords: leakage, hydrocarbon, sensor, digital detecting device, portable device, layout.

A block diagram of a measurement device for studying the characteristics of X-ray detectors based on the scintillator-photodiode technology is presented. The functional diagram, calculation data, and results of experimental evaluation of measuring amplifier parameters are also presented. The method and results of noise level measurement of the amplifiers are described. Dependences of the output current of the S8559 detector under various exposure conditions are also obtained.

Keywords: X-ray radiation, scintillation detectors, photodiodes.

The definition of optimal values of parameters of transmission function of second-order measuring devices with introduction of a derivative according to the criterion of maximum speed is considered.

Keywords: second-order dynamic system, synthesis.

This paper presents an algorithm for generating verification datasets for program fuzz testing, combining static source code analysis with dynamic test data generation. The primary contribution of this work is the development of a hybrid approach that integrates lexical analysis, abstract syntax tree (AST) construction, and symbolic execution to optimize code coverage. Unlike traditional mutation-based fuzzers, the proposed method enables targeted input generation, facilitating deeper analysis of complex program conditions and branches.

Furthermore, a key advantage of the algorithm is its compatibility with graphics processing units (GPUs), significantly improving processing performance for large-scale software projects. This work contributes to advancing automated testing methods by offering a practical solution for enhancing software quality and reliability.

Keywords: fuzzing, graphics processor, GPU, AFL, AST, Abstract Syntax Tree, fuzz-testing, static analysis, parallel computing, code coverage, hybrid fuzzing.

The paper analyzes the problem of detecting defects in products obtained by selective laser sintering (SLS) with automated ultrasonic testing. The possibility of a comprehensive application of machine learning algorithms in the processing of the results of an ultrasound scan is considered: to localize the defective area according to the A-scan of the ultrasound signal and its subsequent visualization on the B-scan and to determine the type of defect.

Keywords: automated ultrasound monitoring, neural network algorithms, machine learning, defect detection.

The article presents a software platform based on Streamlit that integrates classical and quantum image processing methods for object recognition tasks. The stages of preprocessing (scaling, grayscale conversion, and binarization), double quantum scanning with amplitude encoding, a variational scheme based on the discrete Fourier transform and a conditional adder, as well as subsequent classification of the resulting edge map using an adapted ResNet-18, are described. Experimental results are provided, demonstrating robust contour extraction and high detection quality compared to the original images. The achieved recognition accuracy is about 90 %, which confirms the practical applicability of the solution and the prospects for further development of the quantum-classical approach to object recognition.

Keywords: quantum coprocessor; hybrid computing architecture; quantum computing; object recognition; quantum image scanning; quantum image processing; machine learning; image classification; variational quantum algorithms.

This study comprehensively analyzes how inferior modes (modes of higher orders characterized by unstable propagation and increased dispersion) affect the quality of service in modern multimode fiber optic networks. In these networks, inferior modes manifest as intermodal distortion, modal noise, and resonant effects under specific combinations of fiber parameters. We pay particular attention to intermodal distortion occurring during optical signal propagation in graded-index and step-index fibers. Inferior modes cause additional power loss and delay in these fibers due to differences in the group velocities of various modes. The authors conduct a detailed analysis of mathematical models that describe signal propagation processes in a multimode environment, accounting for inferior modes. These models include equations for modal dispersion and nonlinear effects arising from the interaction between fundamental and higher-order modes – a critical factor for high-speed data transmission systems.

Keywords: multimode fiber, Inferior Mode (Higher-Order Mode), Quality of Service (QoS), GOOSE, intermodal dispersion, delay.

Qualitative and quantitative characteristics in the production process are provided by metrological support and metrological characteristics of control means at all stages of manufacturing instrument engineering products. Quantitative information obtained about the course of the production process provides the ability to make a decision on adjusting the process and managing the parameters of the technology, manufactured products. When designing and developing instrument engineering products, accuracy characteristics are established that are observed in the technological process of production, allowing to ensure the initial requirements for tolerances and accuracy of reproduction. Achieving high efficiency of the production process of manufacturing instrument engineering products is based on the validity of technical and economic aspects of the effectiveness of solving metrological support problems at the enterprise.

Keywords: metrological support, control, parameter reproducibility, measurement, process, efficiency.