Pub Date : 2023-04-17DOI: 10.1109/ITNT57377.2023.10139004
D. Shapiro, V. Fedoseev
The paper tells the features of using hyperspectral images (HSI) as a container for embedding hidden information. It is proposed to use the accuracy of the classification of HSI (as the most common problem solved with the help of HSI) to control the permissible level of introduced distortions instead of the indicator of visual imperceptibility. We need to increase the volume or robustness of embedded information while maintaining acceptable classification quality. For this it is proposed to change the embedding parameters for different HSI channels in proportion to their significance in classification. As an example, three fundamentally different methods of embedding information are considered: the method based on quantization index modulation(QIM), the method based on spread spectrum and the method based on interpolation. Experiments have shown the absolute advantage of the proposed approach over the standard one (parameter values constant for each channel) for all three methods. Experiments have confirmed that the proposed approach makes it possible to fill a significant part of the volume of the HSI (about 3/4 for the method based on QIM) almost without deterioration in the quality of classification. And for the interpolation-based method, it is possible not only not to worsen, but to improve the quality of classification along with the embedding of hidden information.
{"title":"The use of hyperspectral images as cover data in information hiding","authors":"D. Shapiro, V. Fedoseev","doi":"10.1109/ITNT57377.2023.10139004","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139004","url":null,"abstract":"The paper tells the features of using hyperspectral images (HSI) as a container for embedding hidden information. It is proposed to use the accuracy of the classification of HSI (as the most common problem solved with the help of HSI) to control the permissible level of introduced distortions instead of the indicator of visual imperceptibility. We need to increase the volume or robustness of embedded information while maintaining acceptable classification quality. For this it is proposed to change the embedding parameters for different HSI channels in proportion to their significance in classification. As an example, three fundamentally different methods of embedding information are considered: the method based on quantization index modulation(QIM), the method based on spread spectrum and the method based on interpolation. Experiments have shown the absolute advantage of the proposed approach over the standard one (parameter values constant for each channel) for all three methods. Experiments have confirmed that the proposed approach makes it possible to fill a significant part of the volume of the HSI (about 3/4 for the method based on QIM) almost without deterioration in the quality of classification. And for the interpolation-based method, it is possible not only not to worsen, but to improve the quality of classification along with the embedding of hidden information.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123811558","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 : 2023-04-17DOI: 10.1109/ITNT57377.2023.10139092
O. Starinova, I. Tkachenko, R. Khabibullin, D. Chen, M. Ivanushkin, I. Chernyakina
In order to meet the targets of the Earth remote sensing, it is required to form, change and maintain the working orbits of the remote sensing spacecraft. The long-term existence of modern space remote sensing systems (up to 20 years) requires the performance of these maneuvers with minimal fuel consumption. Modern electric propulsion systems have a high specific impulse (15000-70000 m/s), which ensures the fulfillment of these requirements. In addition, they meet the requirement of the operation duration. In recent decades, the optimal control theory by the electric propulsion spacecraft in near-Earth orbits has been developed. However, obtaining optimal control programs is a long and difficult computational process. The work devotes to the analysis of existing optimal solutions and the development of stable algorithms for the remote sensing control programs formation for a wide class of dynamic maneuvers.
{"title":"Algorithms of the control programs formation for the Earth remote sensing spacecraft","authors":"O. Starinova, I. Tkachenko, R. Khabibullin, D. Chen, M. Ivanushkin, I. Chernyakina","doi":"10.1109/ITNT57377.2023.10139092","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139092","url":null,"abstract":"In order to meet the targets of the Earth remote sensing, it is required to form, change and maintain the working orbits of the remote sensing spacecraft. The long-term existence of modern space remote sensing systems (up to 20 years) requires the performance of these maneuvers with minimal fuel consumption. Modern electric propulsion systems have a high specific impulse (15000-70000 m/s), which ensures the fulfillment of these requirements. In addition, they meet the requirement of the operation duration. In recent decades, the optimal control theory by the electric propulsion spacecraft in near-Earth orbits has been developed. However, obtaining optimal control programs is a long and difficult computational process. The work devotes to the analysis of existing optimal solutions and the development of stable algorithms for the remote sensing control programs formation for a wide class of dynamic maneuvers.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125152786","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 : 2023-04-17DOI: 10.1109/ITNT57377.2023.10139120
A. Spirkin, T. Istomina, A. Beloglazov, S. Suvorov, Roman Myasoedov, L. Beloglazova
The object of the study is the motor activity of patients with various pathologies of the lower extremities in the process of prosthetics. The subject of the study is the methods and means of monitoring the motor activity of patients with amputation of the lower extremities. To solve the tasks set in the work, a clinical analysis of gait was used in terms of temporal, spatial, kinematic, dynamic and energy parameters. The structure of the robotic complex is proposed, which makes it possible to increase the efficiency of adjusting the parameters of the prosthesis by organizing biofeedback, taking into account the individual characteristics of the patient. The use of the structure of the rehabilitation robotic complex proposed by the authors will reduce mechanical loads in the process of finishing operations when creating a lower limb prosthesis. The location of the mass-dimensional blocks of robotic mechanisms in a stationary instrument rack ensures the natural gait of the patient.
{"title":"Development of the structure of a robotic complex for the rehabilitation of a patient with amputation of the lower limbs","authors":"A. Spirkin, T. Istomina, A. Beloglazov, S. Suvorov, Roman Myasoedov, L. Beloglazova","doi":"10.1109/ITNT57377.2023.10139120","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139120","url":null,"abstract":"The object of the study is the motor activity of patients with various pathologies of the lower extremities in the process of prosthetics. The subject of the study is the methods and means of monitoring the motor activity of patients with amputation of the lower extremities. To solve the tasks set in the work, a clinical analysis of gait was used in terms of temporal, spatial, kinematic, dynamic and energy parameters. The structure of the robotic complex is proposed, which makes it possible to increase the efficiency of adjusting the parameters of the prosthesis by organizing biofeedback, taking into account the individual characteristics of the patient. The use of the structure of the rehabilitation robotic complex proposed by the authors will reduce mechanical loads in the process of finishing operations when creating a lower limb prosthesis. The location of the mass-dimensional blocks of robotic mechanisms in a stationary instrument rack ensures the natural gait of the patient.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116821393","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 : 2023-04-17DOI: 10.1109/ITNT57377.2023.10139020
O. Mandrikova, Yuri A. Polozov
A method for optimization of the process of construction of a NARX model based on threshold wavelet filtering was proposed. NARX realizes the paradigm of the autoregressive moving average (ARIMA) model class. Some difficulties and restrictions are known when modeling noisy and nonstationary time series with seasonal patterns of long time delay by NARX. On the example of time series of ionospheric parameters, the paper shows that the developed procedure of wavelet filtering allows us to obtain an adequate NARX model. An algorithm for wavelet filtering was constructed and a method for obtaining stochastic thresholds was suggested. The efficiency of the method was shown for the problems of detection of ionospheric inhomogeneities based on the data of ionospheric layer F2 critical frequency. The work was carried out as part of the implementation of the state task AAAA-A21-121011290003-0. The work was carried out by the means of the Common Use Center "North-Eastern Heliogeophysical Center" CKP_558279, USU 351757.
提出了一种基于阈值小波滤波的NARX模型构建过程优化方法。NARX实现了自回归移动平均(ARIMA)模型类的范式。在用NARX模拟具有长时间延迟季节性模式的噪声非平稳时间序列时，存在一些困难和限制。以电离层参数的时间序列为例，说明了所开发的小波滤波方法可以得到一个合适的NARX模型。构造了一种小波滤波算法，提出了一种获取随机阈值的方法。结果表明，基于电离层F2临界频率数据的电离层非均匀性检测方法是有效的。这项工作是作为国家任务AAAA-A21-121011290003-0的一部分进行的。该工作通过“东北日地球物理中心”公用中心CKP_558279, USU 351757进行。
{"title":"Optimizing the process of construction of NARX neural network model for time series of complicated structure based on threshold wavelet filtering","authors":"O. Mandrikova, Yuri A. Polozov","doi":"10.1109/ITNT57377.2023.10139020","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139020","url":null,"abstract":"A method for optimization of the process of construction of a NARX model based on threshold wavelet filtering was proposed. NARX realizes the paradigm of the autoregressive moving average (ARIMA) model class. Some difficulties and restrictions are known when modeling noisy and nonstationary time series with seasonal patterns of long time delay by NARX. On the example of time series of ionospheric parameters, the paper shows that the developed procedure of wavelet filtering allows us to obtain an adequate NARX model. An algorithm for wavelet filtering was constructed and a method for obtaining stochastic thresholds was suggested. The efficiency of the method was shown for the problems of detection of ionospheric inhomogeneities based on the data of ionospheric layer F2 critical frequency. The work was carried out as part of the implementation of the state task AAAA-A21-121011290003-0. The work was carried out by the means of the Common Use Center \"North-Eastern Heliogeophysical Center\" CKP_558279, USU 351757.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114882173","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 : 2023-04-17DOI: 10.1109/ITNT57377.2023.10139264
I. Vasendina, K. Shoshina, V. Berezovsky, R. Aleshko, R. Vorontsov, T. Desyatova
The paper describes a method for calculating carbon units of heterogeneous territories based on machine learning. The hierarchical structure of areal territories and the structure of the interconnection of multi-scale images are described. An approach is given to identify and classify terrain objects in order to more accurately calculate the carbon reserve of the territory.
{"title":"Development of a methodology for calculating carbon units of heterogeneous territories based on machine learning","authors":"I. Vasendina, K. Shoshina, V. Berezovsky, R. Aleshko, R. Vorontsov, T. Desyatova","doi":"10.1109/ITNT57377.2023.10139264","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139264","url":null,"abstract":"The paper describes a method for calculating carbon units of heterogeneous territories based on machine learning. The hierarchical structure of areal territories and the structure of the interconnection of multi-scale images are described. An approach is given to identify and classify terrain objects in order to more accurately calculate the carbon reserve of the territory.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114778162","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 : 2023-04-17DOI: 10.1109/ITNT57377.2023.10139164
Pavel Moksin, D. Golovashkin, V. Pavelyev
The PhC structure for integrated optical elements diagnostics is described. The self-collimated waveguide is numerically investigated. The coupling between waveguides of different kind is investigated. The coupling efficiency is investigated, optimal parameters of the coupling are determined.
{"title":"Modeling of photonic crystal couplings: diagnostic waveguide, self-collimated waveguide and planar waveguide","authors":"Pavel Moksin, D. Golovashkin, V. Pavelyev","doi":"10.1109/ITNT57377.2023.10139164","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139164","url":null,"abstract":"The PhC structure for integrated optical elements diagnostics is described. The self-collimated waveguide is numerically investigated. The coupling between waveguides of different kind is investigated. The coupling efficiency is investigated, optimal parameters of the coupling are determined.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122994975","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 : 2023-04-17DOI: 10.1109/ITNT57377.2023.10139052
Daria Grigorieva, Alina Faskhutdinova, Bulat Garafutdinov, V. Mokshin
In this article, a review of existing methods for developing a model for the prevention of cardiovascular diseases was carried out, their advantages and disadvantages were identified. Mortality and morbidity from heart disease has been leading in recent decades throughout the world. The use of various machine learning algorithms, including deep learning algorithms, significantly improves the accuracy of predicting cardiovascular risks of trained models. Using the data obtained, we created a model with which we can identify a group of people who are more at risk of heart disease.
{"title":"Researching Machine Learning Methods for Preventing Cardiovascular Diseases","authors":"Daria Grigorieva, Alina Faskhutdinova, Bulat Garafutdinov, V. Mokshin","doi":"10.1109/ITNT57377.2023.10139052","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139052","url":null,"abstract":"In this article, a review of existing methods for developing a model for the prevention of cardiovascular diseases was carried out, their advantages and disadvantages were identified. Mortality and morbidity from heart disease has been leading in recent decades throughout the world. The use of various machine learning algorithms, including deep learning algorithms, significantly improves the accuracy of predicting cardiovascular risks of trained models. Using the data obtained, we created a model with which we can identify a group of people who are more at risk of heart disease.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129277290","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 : 2023-04-17DOI: 10.1109/ITNT57377.2023.10139280
Niyaz Sharifyanov, V. Latypova
Organizations are now using information systems that interact with large amounts of data everywhere. The collected data is subjected to statistical and intellectual analysis. To improve the quality of input data, intelligent methods are actively used for data recovery, including for filling missing values in data. However, the task of improving the quality of the obtained data remains relevant. Also acute is the issue associated with resource intensity and high time costs when using existing solutions to fill in missing values in data. The article proposes a modified method of filling missing values in data, based on the k-nearest neighbors’ method, and its implementation that solves these problems. The method has been successfully tested on two data sets: on the generated data and on the data of the OpenWeatherMap service that provides weather data, on the example of the city of Ufa. The proposed method showed better results compared to existing methods: simple data recovery (based on the calculation of the mean, median, mode), k-nearest neighbors-based methods, random forest, predictive mean matching and the method of building regression models.
{"title":"A Method of Filling Missing Values in Data using Data Mining","authors":"Niyaz Sharifyanov, V. Latypova","doi":"10.1109/ITNT57377.2023.10139280","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139280","url":null,"abstract":"Organizations are now using information systems that interact with large amounts of data everywhere. The collected data is subjected to statistical and intellectual analysis. To improve the quality of input data, intelligent methods are actively used for data recovery, including for filling missing values in data. However, the task of improving the quality of the obtained data remains relevant. Also acute is the issue associated with resource intensity and high time costs when using existing solutions to fill in missing values in data. The article proposes a modified method of filling missing values in data, based on the k-nearest neighbors’ method, and its implementation that solves these problems. The method has been successfully tested on two data sets: on the generated data and on the data of the OpenWeatherMap service that provides weather data, on the example of the city of Ufa. The proposed method showed better results compared to existing methods: simple data recovery (based on the calculation of the mean, median, mode), k-nearest neighbors-based methods, random forest, predictive mean matching and the method of building regression models.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131556154","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 : 2023-04-17DOI: 10.1109/ITNT57377.2023.10139162
V. Kotlyar, S. Stafeev, E. Kozlova
In this study, the orbital and the spin Hall effects of a high order which appear in the sharp focus of laser light is theoretically investigated by a Richards–Wolf formalism.
本文用Richards-Wolf理论研究了高阶轨道霍尔效应和高阶自旋霍尔效应在激光聚焦中的作用。
{"title":"The high-order Hall effects at the tight focus of the hybrid vector beams","authors":"V. Kotlyar, S. Stafeev, E. Kozlova","doi":"10.1109/ITNT57377.2023.10139162","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139162","url":null,"abstract":"In this study, the orbital and the spin Hall effects of a high order which appear in the sharp focus of laser light is theoretically investigated by a Richards–Wolf formalism.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115771894","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 : 2023-04-17DOI: 10.1109/ITNT57377.2023.10139029
L.B. Dubman
In this paper, we study the influence of various parameters on the formation and propagation of contour beams with a given shape.
本文研究了各种参数对给定形状的等高线光束的形成和传播的影响。
{"title":"Study of the formation and propagation of contour beams of a given shape","authors":"L.B. Dubman","doi":"10.1109/ITNT57377.2023.10139029","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139029","url":null,"abstract":"In this paper, we study the influence of various parameters on the formation and propagation of contour beams with a given shape.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121663336","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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