Кафедра мікроелектроніки, електронних приладів та пристроїв (МЕЕПП)
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Публікація Роль маскоту в сучасному брендінгу(ХНУРЕ, 2025) Шевчук, М. О.This work explores the role of mascots in branding, their types, and their impact on marketing. Special attention is given to the digital environment, particularly YouTube, where mascots and VTubers help brands engage audiences. Examples of successful advertising campaigns, such as Kizuna AI's collaboration with SoftBank, are provided. The author emphasizes that mascots and VTubers have become effective tools for audience interaction and brand recognition enhancement.Публікація «Скінінг» в індустрії комп’ютерних відеоігор(ХНУРЕ, 2025) Маслік, Д. Є.This thesis highlights the importance of proper skinning in 3D character creation for games. It examines how well-painted weights ensure smooth, realistic deformations, preventing stiff or unnatural animations that break immersion. The paper discusses the challenges of balancing bone influences, the impact on performance, and the role of tools like Blender, Maya, and 3ds Max in refining weight distribution. Lastly, the thesis highlights best practices for achieving high-quality results efficiently.Публікація Роль прототипу у Figma під час розробки дизайн макету(ХНУРЕ, 2025) Князєва, А. О.This work explores the significance of prototyping in Figma during the development of design mockups. It examines the key types of prototypes, including paper, low-fidelity, high-fidelity, and interactive, highlighting their ad vantages and limitations. Special emphasis is placed on Figma’s functionality as a powerful tool for creating, testing, and refining design mockups efficiently.Публікація «Texel density» в індустрії комп’ютерних відеоігор(ХНУРЕ, 2025) Маслік, Д. Є.This article explores the concept of texel density in 3D graphics and its importance in game development. It covers the fundamentals of texel density, how it affects texture quality, and the role of UV mapping in achieving consistent detail across 3D models. The paper discusses methods for adjusting UV islands to maintain uniform texel distribution and explains how different platforms, from mobile games to VR, require varying texel densities. Additionally, it examines the impact of texel density on performance optimization and visual consistency.Публікація Засоби вимірювання параметрів діелектриків в НВЧ діапазоні методом вільного простору(ХНУРЕ, 2025) Гапон, Н. Я.This work is devoted to review of means of measuring dielectric parameters. Among the methods of measuring dielectric parameters, the free space method attracted attention because it is not only non-destructive, but also contactless, which has advantages when measuring heated samples. The use of directional couplers in installations has a long tradition, now it has become automated using embedded microcontrollers, which has made it possible to process using algorithms.Публікація Вплив деформації мікроструктурованого оптичного волокна на його характеристики(ХНУРЕ, 2025) Туз, В. П.This work is devoted to the study of the microstructured optical fiber deformation influence on the chromatic dispersion of the signal transmitted by the fiber. The formula for calculating chromatic dispersion is given. A graph of the dependence of chromatic dispersion on wavelength for microstructured optical fiber without deformation and with deformation is constructed.Публікація Modeling ecg using polygonal function method(ХНУРЕ, 2025) Romanchuk, V. S.; Chumakov, V. I.Spectral analysis usually remains one of the most common analytical approaches to determine diagnostically significant characteristics of electrical activity signals of organs and systems of the body [1, 2]. Regarding the cardiovascular system, the electrocardiogram (ECG) is an integral indicator of the system state and is widely used in diagnostics and research. The paper shows the results of using a polygonal function (PF) as an ECG signal model, which allows simplifying the calculation of the signal spectrum and further revealing the possibilities of correlation analysis.Публікація Застосування неінвазивного нвч-фотомодуляційного методу для дослідження рекомбінаційних процесів в напівпровідниках різної кристалічної структури(ХНУРЕ, 2025) Галат, О. Б.; Бабиченко, С. В.The study presents a comparative analysis of the calculated phase shift of the photoconductivity signal for different types of semiconductor materials, including monocrystalline (Si, GaAs), polycrystalline (poly-Si, CdTe), and amorphous (a Si) structures. The influence of crystalline structure, defect density, and carrier recombination mechanisms is investigated. The dependence of the phase shift on the excitation wavelength is examined, enabling the evaluation of key material parameters such as carrier lifetime, surface recombination velocity, and the efficiency of carrier generation and transport in various structures. The obtained results can be utilized to optimize the manufacturing technologies of photodetectors and improve the performance of semiconductor sensors.Публікація Матеріали для виготовлення мікросхем на основі 3D технологій(ХНУРЕ, 2025) Білокінь, В. К.The study explores the use of 3D printing as one of the promising methods for manufacturing microelectronic components, particularly from powdered metals. The research examines the physicochemical properties of powdered metals, their technological suitability for additive manufacturing, and the main challenges associated with production costs and the need for material standardization. Special attention is given to the application of 3D printing in the production of microchip enclosures using polymer materials. The characteristics of key thermoplastic polymers, such as PLA, PETG, and ABS, are analyzed, along with their advantages and limitations in the context of microelectronics.Публікація Інформаційні технології моделювання напівпровідникових структур(2025) Лашко, Е. І.; Стрілкова, Т. О.The work is dedicated to the study of the application of information technologies for modeling donor-acceptor semiconductor structures for the development of materials for photodetectors, lasers, and high-speed electronics. It presents the capabilities of Mathcad and GaussView 6 for analyzing the spatial structure of semiconductors, electronic levels, and energy characteristics. The study also explores spatial and energy structures of semiconductors used in optoelectronics, providing valuable insights for the design and improvement of optoelectronic devices.Публікація Перспективи використання НВЧ резонаторних сенсорів для діагностики багатошарових об’єктів(ХНУРЕ, 2025) Щербань, І. М.; Грицунов, О. В.This work discusses the prospects for using microwave local sensors to determine the doping profile of semiconductor objects in the scanning microwave microscopy (SMM). Quantitative results for the electric field distribution in a three-layer structure of an object with different degrees of doping are presented. The influence of the electro physical parameters of objects on the field distribution in the probe-object system has been studied. Options for implementing 3D micro scanning of multilayer objects are proposed. It has been shown that SMM makes it possible to determine the profile of the electrical parameters of the objects by depth with locality over a wide range.Публікація Візуальні методи контролю якості виготовлення металевих деталей за допомогою технічного зору(ХНУРЕ, 2025) Селіванов, С. І.; Стрілкова, Т. О.This study focuses on improving automated quality control of metal parts using machine vision. The correlation image processing method enables accurate detection of defects such as dents, burrs, cracks, and scratches. The research includes modeling defect illumination using high-resolution cameras and image enhancement techniques. Future studies will expand defect detection capabilities and integrate with production management systems.Публікація Формування та обробка інформації в дифузному середовищі на основі технології обробки великих даних (Big Data)(ХНУРЕ, 2025) Шевченко, М. С.; Стрілкова, Т. О.This paper presents a methodology for Big Data processing in the context of modeling the propagation and detection of optical radiation in stochastically inhomogeneous media. A corpuscular-based approach is proposed to account for the random responses of a multi-element photodetector. The use of physical and mathematical models enables the evaluation of the spatiotemporal response, crucial for analyzing diffuse light propagation. The results are based on the physical and technical characteristics of GaAs (gallium arsenide). The proposed approach enhances the analysis of large datasets and facilitates real-time decision making.Публікація Розробка алгоритму виділення стаціонарних об’єктів(ХНУРЕ, 2025) Кавецький, В. С.; Стрілкова, Т. О.This work presents an algorithm for detecting stationary objects in video frames based on contrast analysis. The method segments the frame into small blocks and calculates pixel intensity to differentiate objects from the background. Absolute and relative contrast values determine object presence, forming a binary mask. Connected component analysis refines object boundaries, filtering out noise. The algorithm considers real-world conditions by introducing noise to evaluate signal-to-noise ratios. Experimental results demonstrate the algorithm’s effectiveness in identifying objects with sufficient contrast while highlighting its limitations in detecting low-contrast or small objects.Публікація Методи комплексування в системах відеоспостереження(ХНУРЕ, 2025) Очеретін, В. Д.; Стрілкова, Т. О.Methods of data fusion in video surveillance systems play a crucial role in improving object detection under low-light conditions and adverse weather. Traditional cameras that operate solely in the visible spectrum face challenges due to image quality degradation when lighting conditions decrease, or interference is present. This study explores the determination of an infrared camera activation threshold based on signal-to-noise ratio (SNR) analysis, that enhances image quality and reduces the impact of noise/ This study explores the determination of an infrared camera activation threshold based on signal-to-noise ratio (SNR) analysis, which enhances image quality and reduces the impact of noise, allowing the video surveillance system to detect objects with high accuracy and reliabilityПублікація Інформаційні технології в діагностиці процесів дефектоутворення мікро- та наноелектронних структур(ХНУРЕ, 2025) Пятайкіна, М. І.; Стрілкова, Т. О.The paper presents a method for diagnosing defect formation processes in micro- and nanostructures based on information technologies. The entropy analysis method was used. Statistical parameter calculations of technological images were performed. Mathematical modeling of a defect recognition algorithm for various spatial dimensions is presented.Публікація Дослідження впливу товщини SiO2 на зарядові ефекти на межі діелектрик-напівпровідник(ХНУРЕ, 2025) Чекубашева, В. А.; Глухов, О. В.The modern development of nanoelectronics requires the creation of new transistor architectures that provide higher performance, lower energy consumption, and stable operation when scaled down to the nanoscale. One of the promising directions is the use of nanowire transistors, which, due to their three dimensional structure, allow for more effective control of the conduction channel and reduce short-channel effects. An important component of such transistors is the metal-insulator-semiconductor structure, where the dielectric layer plays a key role in shaping the electric field and controlling the charge state of the channel.Публікація Оцінка ефективності оптико-електронних систем формування та обробки сигналів та зображень(ХНУРЕ, 2025) Патров, Д. О.; Стрілкова, Т. О.This work is devoted to assessing the efficiency of opto-electronic systems for formation and processing of signal and images. The assessment of the effectiveness of optoelectronic systems is used in calculations of the range, resolution, quality of the obtained image, processing speed, resistance to interference and other parameters. This report presents the results of evaluating the efficiency of optoelectronic systems by the signal-to-noise ratio criterion based on the application of the interframe signal processing method. Methods of mathematical modeling of the signal formation process in optoelectronic systems are applied, taking into account the stochastic characteristics of the signal and background components.Публікація Розробка та аналіз параметрів фільтрувальних ланцюгів для обробки сигналів у цифрових системах(ХНУРЕ, 2025) Бібік, С. М.In modern digital systems, signal processing plays a key role in ensuring the accuracy and efficiency of technologies. One of the main tasks is noise filtering, which enhances signal quality and extracts useful information. This paper examines spectral subtraction as a noise reduction method, particularly its application to audio signals. The use of Fourier Transform (FFT/STFT), adaptive and bandpass filters, as well as the Wiener filter, is described. The advantages of spectral subtraction, especially its effectiveness for stationary noise, are highlighted, along with its limitations related to artifacts and non-stationary noise.Публікація Методи обробки сигналів для ідентифікації та класифікації повітряних об'єктів на основі аналізу шумових характеристик(ХНУРЕ, 2025) Степась, Д. А.This study explores signal-processing methods for identifying and classifying airborne objects in noisy environments. The research focuses on the application of Kalman filters to minimize prediction errors and the use of Fourier transform-based spectral analysis to detect characteristic frequencies of various objects. Classification approaches leveraging noise characteristics and machine learning techniques are proposed to improve recognition accuracy. Additionally, the study emphasizes the importance of adapting signal processing algorithms to dynamic interference conditions to enhance classification reliability.