Мікросистеми, Електроніка та Акустика: науково-технічний журнал
Постійне посилання на фонд
ISSN 2523-4455 (Online), ISSN 2523-4447 (Print)
Періодичність: 6 разів на рік
Рік заснування: 1995
Тематика: твердотіла електроніка; вакуумна, плазмова і квантова електроніка; силова електроніка; теорія сигналів і систем; методи і засоби обробки сигналів і зображень; електронні системи; біомедичні прилади та системи; акустичні прилади та системи; інформаційні системи і технології; системи телекомунікації, зв'язку і захисту інформації, системи автоматизованого проектування.
Попередня назва (до червня 2017 р.): Електроніка та зв’язок
Офіційний сайт: http://elc.kpi.ua/
Рік заснування: 1995
Тематика: твердотіла електроніка; вакуумна, плазмова і квантова електроніка; силова електроніка; теорія сигналів і систем; методи і засоби обробки сигналів і зображень; електронні системи; біомедичні прилади та системи; акустичні прилади та системи; інформаційні системи і технології; системи телекомунікації, зв'язку і захисту інформації, системи автоматизованого проектування.
Попередня назва (до червня 2017 р.): Електроніка та зв’язок
Офіційний сайт: http://elc.kpi.ua/
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Документ Відкритий доступ A Disturbed Grid Voltage Interharmonic Analysis with Fourier Series of Several Variables(КПІ ім. Ігоря Сікорського, 2020) Verbytskyi, I. V.Документ Відкритий доступ A Model of a Free-Space Optical Communication Line with a Smart Reflector(КПІ ім. Ігоря Сікорського, 2023) Melnyk, I. I.; Chadyuk, V. O.The article considers a model of a free-space communication line between several closely located points on the terrain that are outside the line of sight. For the rapid deployment of communication lines with a range of up to hundreds of meters, any tall building visible to all callers can be a kind of optical signal repeater. Compared to radio communication channels, an optical communication line has a higher speed of information transmission, is insensitive to electromagnetic interference and is more protected from eavesdropping. To increase the range of the communication line and increase the signal to noise ratio, it is proposed to use a smart reflector based on the mirror of the two-axis scanner, the angular position of which is controlled by the microcontroller. The microcontroller receives information about the angle of incidence of the laser beam on the smart reflector in the form of photoelectric signals. These signals are formed by a position-sensitive photodetector and a lens in front of it. Depending on the angle of incidence of the laser beam, the position of the laser spot focused by the lens on the photodetector changes, and with it, both signals at its output. To facilitate the search of the smart reflector by transceivers, it is suggested to use an LED beacon in it.Документ Відкритий доступ Analysis of Application the Device with Nonstandard Scanner Installation for Rail Condition Monitoring(КПІ ім. Ігоря Сікорського, 2022) Shapovalov, I. K.; Pareniuk, D. V.; Drozdenko, K. S.; Mishchenko, V. P.Документ Відкритий доступ Apparent Power and Efficiency of Three-Phase Four-Wire System(КПІ ім. Ігоря Сікорського, 2018) Artemenko, M. Yu.; Batrak, L. M.; Polishchuk, S. Y.Документ Відкритий доступ Automated Subjective Assessment of Speech Intelligibility in Various Listening Modes(КПІ ім. Ігоря Сікорського, 2018) Prodeus, A. M.; Bukhta, K. V.; Morozko, P. V.; Serhiienko, O. V.; Kotvytskyi, I. V.; Dvornyk, O. O.Документ Відкритий доступ Beta-Lactoglobulin Sensor Based on ISFET with CеO2 Gate Dielectric(КПІ ім. Ігоря Сікорського, 2019) Kutova, O. Yu.; Tymofieiev, V. I.; Dusheiko, M. H.; Brotons, GuillaumeДокумент Відкритий доступ Chladni Figures Simulation on a Rectangular Plate(КПІ ім. Ігоря Сікорського, 2021) Krysenko, P. I.; Zoziuk, M. I.; Yurikov, O. I.; Koroliuk, D. V.; Yakymenko, Yu. I.Документ Відкритий доступ Control of Optical Clearing of Human Skin by Ellipsoidal Reflector Method(КПІ ім. Ігоря Сікорського, 2019) Bezuglyi, M. O.; Bezugla, N. V.; Nahornyi, A. I.Документ Відкритий доступ Development of a System and Interface for Speech Synthesis in Ukrainian for Websites(КПІ ім. Ігоря Сікорського, 2022) Osadchuk, O. R.Документ Відкритий доступ Estimation of probabilistic processes in wireless networks of 802.11 standard(КПІ ім. Ігоря Сікорського, 2017) Lazebnyi, Volodymyr Semenovych; Yin, ChengliangДокумент Відкритий доступ Frequency Response Analysis of Buck-Boost Inverter(КПІ ім. Ігоря Сікорського, 2019) Korotyeyev, I. Ye.Документ Відкритий доступ Fuel Cell Hybridizaon Topologies Using Various Energy Storage Technologies(КПІ ім. Ігоря Сікорського, 2023) Bevza, I. O.The main idea of this work is to review and classify the currently existing fuel cell (FC) hybridization topologies with various energy storage technologies (lithium-ion batteries (LIBs), supercapacitors (SCs), and lithium-ion capacitors (LICs)). There are presented generalized topologies of FC hybridization using LIB/SC or LIC. Also, when analyzing the energy storage technologies presented on the market, a comparison was made of LIB, SC, and LIC characteristics in the form of tables and Ragone plot. As a result, perspectives for the development of hybrid FC technologies using LIC were proposed due to the most advantageous characteristics compared to other energy storage methods.Документ Відкритий доступ Generation of Anisotropic Cloud Cover(КПІ ім. Ігоря Сікорського, 2023) Martyniuk, V. I.; Zhuikov, V. Ya.This paper introduces an advanced mathematical model for generating and analyzing cloud cover images, specifically designed to enhance photovoltaic (PV) partial shading studies. The model development involved a detailed analysis of real cloud cover images, with a particular emphasis on capturing their anisotropic spectral characteristics. This was achieved through a combination of spectral analysis and advanced image processing techniques. The research methodologically focused on developing a four-parameter model to accurately represent cloud formations' spectral properties. Key parameters were identified and fine-tuned to match the real cloud formations' characteristics. This involved analyzing the magnitude and phase spectra of the cloud covers and fitting them to a model capable of replicating these properties accurately. A significant part of the research was dedicated to formulating a novel phase spectrum generation technique. This technique was specifically designed to control the degree of similarity between the synthesized and original images, thereby ensuring the model's effectiveness in various simulation scenarios. The process involved manipulating the phase information of cloud cover images while maintaining their high-frequency components to enhance the detail and realism of the synthesized images. The model's accuracy in replicating cloud cover features was tested against traditional spectral synthesis methods. This comparative analysis involved generating cloud cover images using the developed model and established methods, then comparing these images to the original cloud covers in terms of visual similarity and approximation error. Additionally, the model was utilized to generate pseudo-random cloud cover images by varying the phase spectrum parameters. This process ensured that the generated images, while being random, adhered to the spectral characteristics of the original cloud covers. The research methodology also involved a detailed examination of the images' key characteristics, such as direction, length, and density, to ensure fidelity to the original samples. In summary, this paper details an approach to cloud cover image synthesis, with a focus on the accuracy of spectral properties and the development of an algorithm of model parameters estimation. The research highlights the use of advanced spectral analysis and image processing techniques in deriving key model parameters, leading to a significant advancement in cloud imaging for solar energy applications.Документ Відкритий доступ Human Eye Aberrometry Data Generation Using Generative Adversarial Neural Network(КПІ ім. Ігоря Сікорського, 2023) Yaroshenko, M. O.It’s obvious that for development and improvement of methods and apparatus for diagnosis and treatment of optical flaws of human eye at the modelling stage, it’s necessary to have sets of real measurements. However, data requests to clinics are accompanied by substantial amount of bureaucracy procedures and, at the same time, acquired dataset may be too small, which can be critical, for example, for training of neural networks. According to the analysis of existing publications, publicly available datasets of aberrometry data (sets of eye’s refractive flaws) are rare and consist of relatively low number of measurements. But, due to current development state of neural networks, it is possible to generate data based on real measurements. The most common solutions are methods based on the usage of the Generative Adversarial Networks (GAN). This tendency is also relevant for the modern ophthalmology, but no publications aimed at aberrometry data synthesis were found. For this reason, objective of this work is development of solution for generation of sets of human eye’s refractive errors using neural networks. Proposed solution includes generator and critic networks trained according to the Wasserstein GAN with Gradient Penalty (WGAN GP) algorithm. In order to improve training, the method of data augmentation called Data Augmentation Optimized for GAN (DAG) was used, moreover, the possibility of augmentation of aberrometry data in two forms was implemented — for both Zernike coefficient vectors and wavefront pixel images. According to the result’s evaluation, generated data has the distribution close to the real sample (Fréchet distance equals 0.7) and, at the same time, it is neither a copy of real measurements (92% creativity rate) nor duplication of a few aberration sets (diversity metric equals 3.64 which is close to the optimal 3.83). The direction of further improvement includes enhancement of existing architectures of generator and critic, search or creation of bigger training dataset and refinement of data augmentation technics.Документ Відкритий доступ Hydrogen Peroxide Measurements by MISFET and LET Structures with Rear Porous Silicon Layer and Metallic Nanoparticles(КПІ ім. Ігоря Сікорського, 2018) Kutova, O. Yu.; Obukhova, T. Yu.; Dusheiko, M. G.; Loboda, B. O.; Borodinova, T. I.; Tkach, S. V.Документ Відкритий доступ Input Current Quality Parameters Analysis of Modular AC-DC SEPIC Charger Based on Double Fourier Series(КПІ ім. Ігоря Сікорського, 2019) Verbytskyi, Ie. V.Документ Відкритий доступ Mathematical Model of a Nanosensor Based on Optical Tweezers(КПІ ім. Ігоря Сікорського, 2021) Chadyuk, V. O.Документ Відкритий доступ Modeling of Multifunctional Thermoresistive Transduser Used Heat Exchange Technology(КПІ ім. Ігоря Сікорського, 2019) Osinov, S. M.; Zavorotnyi, V. F.; Lupyna, B. I.; Borisov, O. V.Документ Відкритий доступ Optical properties of nickel nanoparticles in systems with a statistically inhomogeneous structure(КПІ ім. Ігоря Сікорського, 2018) Machulianskyi, O. V.Документ Відкритий доступ Optimal Low Density Parity Check Matrices to Correct Quantum Key Errors for QKD(КПІ ім. Ігоря Сікорського, 2020) Bilash, B. O.