Pub Date : 2020-11-25DOI: 10.1109/ATIT50783.2020.9349321
A. Bulashenko, S. Piltyay, Y. Kalinichenko, O. Bulashenko
In this research we carried out mathematical modeling, development and optimization of square waveguide sections with irises and antiphase posts. The presented mathematical model applies scattering and transmission matrices of the structure elements for the calculation of general scattering matrix of the whole waveguide section. Depending on linear polarization type of the fundamental mode the irises are simulated as inductances or capacitances, which are connected in parallel into the equivalent transmission line. Two antiphase posts in a square waveguide are modeled as a parallel resonant circuit in the equivalent transmission line. Using the developed mathematical model the matching characteristics and differential phase shift of square waveguide sections with two irises and two posts were calculated theoretically. In order to check the performance of developed mathematical model the simulations of the same waveguide sections were performed using finite integration technique. Presented waveguide sections can be tuned by changing the length of their posts. Both optimized designs of square waveguide sections with two irises and two posts provide voltage standing wave ratio less than 1.4 for both polarizations. Differential phase shifts of developed polarizer sections are 30°±0.7° and 45°±1.75°. Therefore, suggested new simple mathematical technique for calculation of characteristics of the waveguide sections with irises and antiphase posts can be widely used for the development of new tunable waveguide filters, phase shifters and polarization processing devices.
{"title":"Mathematical Modeling of Iris-Post Sections for Waveguide Filters, Phase Shifters and Polarizers","authors":"A. Bulashenko, S. Piltyay, Y. Kalinichenko, O. Bulashenko","doi":"10.1109/ATIT50783.2020.9349321","DOIUrl":"https://doi.org/10.1109/ATIT50783.2020.9349321","url":null,"abstract":"In this research we carried out mathematical modeling, development and optimization of square waveguide sections with irises and antiphase posts. The presented mathematical model applies scattering and transmission matrices of the structure elements for the calculation of general scattering matrix of the whole waveguide section. Depending on linear polarization type of the fundamental mode the irises are simulated as inductances or capacitances, which are connected in parallel into the equivalent transmission line. Two antiphase posts in a square waveguide are modeled as a parallel resonant circuit in the equivalent transmission line. Using the developed mathematical model the matching characteristics and differential phase shift of square waveguide sections with two irises and two posts were calculated theoretically. In order to check the performance of developed mathematical model the simulations of the same waveguide sections were performed using finite integration technique. Presented waveguide sections can be tuned by changing the length of their posts. Both optimized designs of square waveguide sections with two irises and two posts provide voltage standing wave ratio less than 1.4 for both polarizations. Differential phase shifts of developed polarizer sections are 30°±0.7° and 45°±1.75°. Therefore, suggested new simple mathematical technique for calculation of characteristics of the waveguide sections with irises and antiphase posts can be widely used for the development of new tunable waveguide filters, phase shifters and polarization processing devices.","PeriodicalId":312916,"journal":{"name":"2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121461918","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}
Pub Date : 2020-11-25DOI: 10.1109/ATIT50783.2020.9349322
O. Laptiev, Savchenko Vitalii, S. Yevseiev, H. Haidur, S. Gakhov, S. Hohoniants
The article examines a new method of detecting technical means that use a radio channel to transmit intercepted information. The method is based on the method of differential transformations and approximation of the spectral function in the basis of the transfer functions of the second order resonant units.To detect the signals of the secret means of obtaining information, it is proposed to determine at the first stage the spectrum of signals. The signals of the means of secretly obtaining information can be approximated by differential Taylor transformations, or more simply by T transformations. Moreover, differential images are differential T - spectra. Subsequently, an approximation of the already spectral function is performed in order to extract the components of the essential signal.In order to confirm the proposed technique, modeling of the exponential function was performed. The received graphic materials. Graphic materials fully confirm the reliability of the proposed method.
{"title":"The new method for detecting signals of means of covert obtaining information","authors":"O. Laptiev, Savchenko Vitalii, S. Yevseiev, H. Haidur, S. Gakhov, S. Hohoniants","doi":"10.1109/ATIT50783.2020.9349322","DOIUrl":"https://doi.org/10.1109/ATIT50783.2020.9349322","url":null,"abstract":"The article examines a new method of detecting technical means that use a radio channel to transmit intercepted information. The method is based on the method of differential transformations and approximation of the spectral function in the basis of the transfer functions of the second order resonant units.To detect the signals of the secret means of obtaining information, it is proposed to determine at the first stage the spectrum of signals. The signals of the means of secretly obtaining information can be approximated by differential Taylor transformations, or more simply by T transformations. Moreover, differential images are differential T - spectra. Subsequently, an approximation of the already spectral function is performed in order to extract the components of the essential signal.In order to confirm the proposed technique, modeling of the exponential function was performed. The received graphic materials. Graphic materials fully confirm the reliability of the proposed method.","PeriodicalId":312916,"journal":{"name":"2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122358733","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}
Pub Date : 2020-11-25DOI: 10.1109/ATIT50783.2020.9349325
A. Doroshenko, V. Shpyg, R. Kushnirenko
This paper presents a brief overview of trends in numerical weather prediction, difficulties, and the nature of their occurrence, the existing and promising ways to overcome them. The neural network architecture is proposed as a promising approach to increase the accuracy of the 2m temperature forecast given by the COSMO regional model. This architecture allows predicting errors of the atmospheric model forecasts with their further corrections. Experiments are conducted with different histories of regional model errors. The number of epochs after which network overfitting happens is determined. It is shown that the proposed architecture makes it possible to achieve an improvement of a 2m temperature forecast in approximately 50% of cases.
{"title":"Machine Learning to Improve Numerical Weather Forecasting","authors":"A. Doroshenko, V. Shpyg, R. Kushnirenko","doi":"10.1109/ATIT50783.2020.9349325","DOIUrl":"https://doi.org/10.1109/ATIT50783.2020.9349325","url":null,"abstract":"This paper presents a brief overview of trends in numerical weather prediction, difficulties, and the nature of their occurrence, the existing and promising ways to overcome them. The neural network architecture is proposed as a promising approach to increase the accuracy of the 2m temperature forecast given by the COSMO regional model. This architecture allows predicting errors of the atmospheric model forecasts with their further corrections. Experiments are conducted with different histories of regional model errors. The number of epochs after which network overfitting happens is determined. It is shown that the proposed architecture makes it possible to achieve an improvement of a 2m temperature forecast in approximately 50% of cases.","PeriodicalId":312916,"journal":{"name":"2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124606459","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}
Pub Date : 2020-11-25DOI: 10.1109/ATIT50783.2020.9349341
Victoriya Himenko, O. Stetsenko, Vadym Fustii, Olexandr Shaigas, Evgeniy Eliseev, O. Kolomiitsev
Conceptual bases of construction of a method of compensation of movement of dynamic objects in a video stream directed on increase of efficiency of functioning of information and communication networks are considered. The method is based on the search for possible ways of convergence on six basis points.
{"title":"Advanced Method of Movement Compensation in Video Coding Technologies","authors":"Victoriya Himenko, O. Stetsenko, Vadym Fustii, Olexandr Shaigas, Evgeniy Eliseev, O. Kolomiitsev","doi":"10.1109/ATIT50783.2020.9349341","DOIUrl":"https://doi.org/10.1109/ATIT50783.2020.9349341","url":null,"abstract":"Conceptual bases of construction of a method of compensation of movement of dynamic objects in a video stream directed on increase of efficiency of functioning of information and communication networks are considered. The method is based on the search for possible ways of convergence on six basis points.","PeriodicalId":312916,"journal":{"name":"2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122563691","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}
Pub Date : 2020-11-25DOI: 10.1109/ATIT50783.2020.9349356
V. Barannik
The variant of new generation coding technology concept realization on the methods of quantum binomial-polyadic coding in binary space basis is considered. This coding technology allowing to provide additional increase of efficiency of syntactic representation of two-dimensional (multidimensional) binary data structures. The proposed concept allows to increase the energy efficiency of quantum binary binomial-polyadic coding. For this purpose, technological mechanisms of fast quantum coding are proposed.
{"title":"Fast Coding of Irregular Binary Binomial Numbers with a Set Number of Units Series","authors":"V. Barannik","doi":"10.1109/ATIT50783.2020.9349356","DOIUrl":"https://doi.org/10.1109/ATIT50783.2020.9349356","url":null,"abstract":"The variant of new generation coding technology concept realization on the methods of quantum binomial-polyadic coding in binary space basis is considered. This coding technology allowing to provide additional increase of efficiency of syntactic representation of two-dimensional (multidimensional) binary data structures. The proposed concept allows to increase the energy efficiency of quantum binary binomial-polyadic coding. For this purpose, technological mechanisms of fast quantum coding are proposed.","PeriodicalId":312916,"journal":{"name":"2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127286954","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}
Pub Date : 2020-11-25DOI: 10.1109/ATIT50783.2020.9349254
Roman A. Mykolaichuk, Vladyslav Lavrynovych, A. Mykolaichuk, Tetiana Tymchenko, Iryna Somyk-Ponomarenko
Old paintings are usually characterized by presence of damaged areas. This article presents technologies and methods for detection of the loss on old paintings using image processing, image segmentation techniques, and convolutional neural network for detection of damaged parts on painting. Analysis of model prediction results allows us to estimate the effectiveness of techniques and technologies, applied in this research in automated loss estimation.
{"title":"Image Segmentation in Loss Detection for Conservation and Restoration of Old Paintings","authors":"Roman A. Mykolaichuk, Vladyslav Lavrynovych, A. Mykolaichuk, Tetiana Tymchenko, Iryna Somyk-Ponomarenko","doi":"10.1109/ATIT50783.2020.9349254","DOIUrl":"https://doi.org/10.1109/ATIT50783.2020.9349254","url":null,"abstract":"Old paintings are usually characterized by presence of damaged areas. This article presents technologies and methods for detection of the loss on old paintings using image processing, image segmentation techniques, and convolutional neural network for detection of damaged parts on painting. Analysis of model prediction results allows us to estimate the effectiveness of techniques and technologies, applied in this research in automated loss estimation.","PeriodicalId":312916,"journal":{"name":"2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124157896","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}
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