Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioelektroniki最新文献_第4页

Obtaining Multicomponent Coatings of a Stable Composition for Electromagnetic Radiation Screens 制备一种稳定的电磁辐射屏蔽用多组分涂层

Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioelektroniki Pub Date : 2023-08-28 DOI: 10.35596/1729-7648-2023-21-4-19-27

V. Zelenin, E. O. Narushko, A. D. Gladinov

{"title":"Obtaining Multicomponent Coatings of a Stable Composition for Electromagnetic Radiation Screens","authors":"V. Zelenin, E. O. Narushko, A. D. Gladinov","doi":"10.35596/1729-7648-2023-21-4-19-27","DOIUrl":"https://doi.org/10.35596/1729-7648-2023-21-4-19-27","url":null,"abstract":"The formation processes of coatings of Cu–Ni and Ag–Cu systems with a stable elemental composition by the method of electron-beam evaporation are considered. It is shown that in the zone of action of the electron beam on the ingot placed in the crucible at the total vapor pressure of the alloy elements Σp above the pressure under the cap of the installation, the melt boils, and in the outer zone adjacent to the melt zone, the process of sublimation of the hard alloy occurs. The microrelief and elemental composition of the surface layer of the Cu–Ni alloy ingot in the zones of evaporation and sublimation, as well as the elemental composition of the coatings deposited in this case, have been studied. It is shown that the most acceptable way to obtain coatings of the Cu–Ni system with a stable elemental composition is the simultaneous electron-beam evaporation of copper and nickel from two crucibles. The azeotropic composition of the alloy of the Ag–Cu system was calculated and experimentally verified. The research results are used in the manufacture of multilayered screens of electromagnetic radiation.","PeriodicalId":33565,"journal":{"name":"Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioelektroniki","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43041677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Architecture of Hardware and Software for Unidirectional Data Transmission in Computer Networks 计算机网络中单向数据传输的软硬件体系结构

Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioelektroniki Pub Date : 2023-06-22 DOI: 10.35596/1729-7648-2023-21-3-96-101

Yury I. Varatnitski, Raman A. Rumas

{"title":"Architecture of Hardware and Software for Unidirectional Data Transmission in Computer Networks","authors":"Yury I. Varatnitski, Raman A. Rumas","doi":"10.35596/1729-7648-2023-21-3-96-101","DOIUrl":"https://doi.org/10.35596/1729-7648-2023-21-3-96-101","url":null,"abstract":"The results of a study of the architecture of hardware and software for unidirectional data transmission in computer networks are presented. The architecture is presented in the form of optical galvanic isolation, media converters and proxy servers, excluding bidirectional data transmission at the hardware level. Work on unidirectional data transmission is carried out on the basis of the UDP transport protocol, which provides operation without establishing bidirectional interaction. Unidirectional data transfer is carried out by a proxy server running a special sender’s software that performs unidirectional data file transfer. This software converts the source data file into a unidirectional stream of UDP datagrams. To receive a unidirectional stream of UDP datagrams, a proxy server is used, on which the recipient’s special software is running. The receiving proxy server receives, processes and generates the source data file. The reliability of the unidirectional transmission of data files is ensured by redundancy (multiple transmission) and checksum verification.","PeriodicalId":33565,"journal":{"name":"Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioelektroniki","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48637885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Training Sample Formation for Convolution Neural Networks to Person Re-Identification from Video 基于卷积神经网络的视频人物再识别训练样本生成

Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioelektroniki Pub Date : 2023-06-22 DOI: 10.35596/1729-7648-2023-21-3-87-95

С. А. Игнатьева, Р. П. Богуш, S. Ihnatsyeva, Rykhard P. Bohush

{"title":"Training Sample Formation for Convolution Neural Networks to Person Re-Identification from Video","authors":"С. А. Игнатьева, Р. П. Богуш, S. Ihnatsyeva, Rykhard P. Bohush","doi":"10.35596/1729-7648-2023-21-3-87-95","DOIUrl":"https://doi.org/10.35596/1729-7648-2023-21-3-87-95","url":null,"abstract":"To improve the person re-identification system accuracy, an integrated approach is proposed in the formation of a training sample for convolutional neural networks, which involves the use of a new image dataset, an increase in the training examples number using existing datasets, and the use of a number of transformations to increase their diversity. The created dataset PolReID1077 contains images of people that were obtained in all seasons, which will improve the correct operation of re-identification systems when the seasons change. Another PolReID1077 advantage is the video data use obtained from external and internal surveillance in a large number of different filming locations. Therefore, the people images in the created set are characterized by the variability of the background, brightness and color characteristics. Joining the created dataset with the existing CUHK02, CUHK03, Market-1501, DukeMTMC-ReID and MSMT17 sets made it possible to obtain 109 772 images for training. An increase in the variety of generated examples is achieved by applying a cyclic shift to them, eliminating color and replacing a fragment with a reduced copy of another image. The research results on estimating the accuracy of re-identification for the ResNet-50 and DenseNet-121 convolutional neural networks during their training, using the proposed approach to form a training sample, are presented.","PeriodicalId":33565,"journal":{"name":"Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioelektroniki","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47352932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Algorithms for Synthesis of Technological Operations for Manufacturing Samples of Structurally Complex Products 结构复杂产品制造样品工艺操作综合算法

Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioelektroniki Pub Date : 2023-06-22 DOI: 10.35596/1729-7648-2023-21-3-70-77

Alexander V. Petukhov, А. В. Петухов

引用次数: 0

Automatic Balancing of “Arbiter” Physical Unclonable Function Paths “仲裁器”物理不可控制函数路径的自动平衡

Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioelektroniki Pub Date : 2023-06-22 DOI: 10.35596/1729-7648-2023-21-3-56-62

А. Ю. Шамына, А.А. Иванюк, A. Y. Shamyna, A. A. Ivaniuk

引用次数: 0

Methodology for Calculating Course Errors when Aiming an Aircraft at a Maneuvering Air Target 飞机瞄准机动空中目标时航向误差的计算方法

Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioelektroniki Pub Date : 2023-06-22 DOI: 10.35596/1729-7648-2023-21-3-63-69

D. V. Vysotski, E. I. Khizhniak, A. V. Khizhniak

{"title":"Methodology for Calculating Course Errors when Aiming an Aircraft at a Maneuvering Air Target","authors":"D. V. Vysotski, E. I. Khizhniak, A. V. Khizhniak","doi":"10.35596/1729-7648-2023-21-3-63-69","DOIUrl":"https://doi.org/10.35596/1729-7648-2023-21-3-63-69","url":null,"abstract":"The article presents theoretical calculations that explain the origin of errors in the course of an aircraft in an automated control system when pointing at a maneuvering air target. The peculiarity of pointing at a maneuvering target is related to the execution of turns, which are characterized by overloads. The curvature of the trajectory in such areas is usually approximated by a circle of a certain radius, depending on the value of the overload and flight speed to intercept. In the automated control system, the current course of the aircraft is determined as the direction of movement by two marks corresponding to the current and previous moments of information update time. For a target moving in a straight line, this approach is valid. However, in a turn where the guidance path is a curved line, the true heading will correspond to the tangent at the turn point. The difference in these approaches determines the error of the course calculation. This article provides a formulaic calculation of turn radii for flight speeds to intercept an air target and overloads, as well as the calculation of true and current courses. The peculiarity of the methodology is a strict formalized mathematical description. The article presents the dependences of heading errors from the aircraft’s intercept flight speed and overloads using the example of the Su-27 multifunctional fighter.","PeriodicalId":33565,"journal":{"name":"Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioelektroniki","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43915423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IT Diagnostics of Parkinson’s Disease Based on the Analysis of Voice Markers and Machine Learning 基于语音标记分析和机器学习的帕金森病IT诊断

Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioelektroniki Pub Date : 2023-06-22 DOI: 10.35596/1729-7648-2023-21-3-102-110

U. A. Vishniakou, Yiwei Xia

{"title":"IT Diagnostics of Parkinson’s Disease Based on the Analysis of Voice Markers and Machine Learning","authors":"U. A. Vishniakou, Yiwei Xia","doi":"10.35596/1729-7648-2023-21-3-102-110","DOIUrl":"https://doi.org/10.35596/1729-7648-2023-21-3-102-110","url":null,"abstract":"The results of studying the parameters of the spectra of speech signals by machine learning with the use of neural networks are presented. This study was carried out in order to confirm experimentally the possibility of performing an assessment of these parameters for the detection of Parkinson’s disease in the early stages (IT diagnostics). During the study, the public database was used, which systematized the spectra of vowel sounds uttered by patients with Parkinson’s disease. The applied method is binary data classification. In the course of the study, the speech data spectrum was first preprocessed, which consisted of filtering it in order to remove its noise components and eliminate bursts and gaps in it. Then the parameters of the processed spectrum of speech data were determined: average value, maximum and minimum, peak, wavelet coefficients, MFCC and TQWT. After that, the object was selected using the PCA algorithm. The model was trained using the Knn and Random Forest algorithms, as well as the Bayesian neural network. The Bayesian optimization algorithm and the GridSearch method were used to find the best model hyperparameters. It has been established that when using Knn, Random Forest and Bayesian neural network, it is possible to increase the accuracy of recognition of Parkinson’s disease by 94.7; 88.16 and 74.74 %, respectively. A similar study by other scientists showed that the recognition accuracy of data sets was only 86 %.","PeriodicalId":33565,"journal":{"name":"Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioelektroniki","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43932523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Local Correlation Metric for Assessing the Quality of Combined AFM Images 用于评估组合AFM图像质量的局部相关度量

Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioelektroniki Pub Date : 2023-06-22 DOI: 10.35596/1729-7648-2023-21-3-78-86

M. Y. Lavetski, V. Tsviatkou, A. A. Boriskevich, V. Lapitskaya, S. Chizhik

引用次数: 0

Decision-Making Method Based on a Comprehensive Assessment of the Effectiveness of the Radio Frequency Spectrum 基于无线电频谱有效性综合评估的决策方法

Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioelektroniki Pub Date : 2023-06-21 DOI: 10.35596/1729-7648-2023-21-3-41-47

П. Ю. Лакизо, Pavel YU. Lakizo

{"title":"Decision-Making Method Based on a Comprehensive Assessment of the Effectiveness of the Radio Frequency Spectrum","authors":"П. Ю. Лакизо, Pavel YU. Lakizo","doi":"10.35596/1729-7648-2023-21-3-41-47","DOIUrl":"https://doi.org/10.35596/1729-7648-2023-21-3-41-47","url":null,"abstract":"One of the main problems in the use of the radio frequency spectrum is its scarcity. This is due not only to its natural properties as a resource, but also to the inefficiency of its use. Work in this direction was carried out by scientists. In order to release the inefficiently used part of the radio frequency spectrum, it is necessary to develop management measures and mechanisms that create the most unfavorable conditions for the operation of this part of the spectrum by operators. The article discusses proposals for the implementation of the methodology, the model and criteria for a symbolic description of the assessment of the effectiveness of the use of the radio frequency spectrum, including information and software implementation of a multi-agent system that allows for automated decision making, for a comprehensive assessment of the effectiveness of the use of the radio frequency spectrum. A model of the overall efficiency of using the radio frequency spectrum based on three types of efficiency has been proposed, and a scale of intervals for these types has been developed. An assessment of the efficiency of the radio frequency spectrum based on a reference network of cellular mobile communications has been performed. A decision making variant based on the results of evaluating this efficiency is presented.","PeriodicalId":33565,"journal":{"name":"Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioelektroniki","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42126244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Model of Reactive Magnetron Sputtering of a Two-Component Composite Target 双组分复合靶的反应磁控溅射模型

Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioelektroniki Pub Date : 2023-06-21 DOI: 10.35596/1729-7648-2023-21-3-17-25

H. Doan, D. Golosov, J. Zhang, S. Zavadski, S. Melnikov, T. D. Nguyen

引用次数: 0