Pub Date : 2023-04-17DOI: 10.1109/ITNT57377.2023.10139187
V. Latypova
Reviewer assignment to papers is one of the most significant stages of the scientific publishing process. It determines whether high-quality scientific papers are accepted for publication, while low-quality papers are rejected or sent to be improved to the required level. This in turn affects the status of academic journals and the level of scientific papers in general. A large number of researchers deals with issues of improving and speeding up of the reviewer assignment procedure, frequently using intellectual methods. However, insufficient attention is given to comprehensive reviewer assessment in their assignment to papers. A method of reviewer assignment decision support in an academic journal based on a joint use of multicriteria assessment and text mining is proposed in the paper. Calculation of an integral indicator with the use of additive folding of weighted reviewer’s indicators is at the core of the method. Text mining of manuscripts and reviewer’s papers is utilized to determine value of one of significant indicators. The proposed method allows to assess reviewers not only by authority and expertise, but also allows to take into account their work in the role of a reviewer, deciding how good they are in this role, with the use of previously collected statistical information refers to the carried out reviewing. The method has been successfully tested on data of peer-reviewed academic journal "Modeling, Optimization and Information Technology".
{"title":"Reviewer Assignment Decision Support in an Academic Journal based on Multicriteria Assessment and Text Mining","authors":"V. Latypova","doi":"10.1109/ITNT57377.2023.10139187","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139187","url":null,"abstract":"Reviewer assignment to papers is one of the most significant stages of the scientific publishing process. It determines whether high-quality scientific papers are accepted for publication, while low-quality papers are rejected or sent to be improved to the required level. This in turn affects the status of academic journals and the level of scientific papers in general. A large number of researchers deals with issues of improving and speeding up of the reviewer assignment procedure, frequently using intellectual methods. However, insufficient attention is given to comprehensive reviewer assessment in their assignment to papers. A method of reviewer assignment decision support in an academic journal based on a joint use of multicriteria assessment and text mining is proposed in the paper. Calculation of an integral indicator with the use of additive folding of weighted reviewer’s indicators is at the core of the method. Text mining of manuscripts and reviewer’s papers is utilized to determine value of one of significant indicators. The proposed method allows to assess reviewers not only by authority and expertise, but also allows to take into account their work in the role of a reviewer, deciding how good they are in this role, with the use of previously collected statistical information refers to the carried out reviewing. The method has been successfully tested on data of peer-reviewed academic journal \"Modeling, Optimization and Information Technology\".","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"1 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":"129752220","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/ITNT57377.2023.10139197
A. Doroshin, A. Eremenko
The paper considers the attitude dynamics of a composite nanosatellite on circular orbits. The nanosatellite consists of two modules - a carrier body and a movable unit. The carrier body contains a gravitational damper. Into the movable unit a flywheel engine is installed, and the angular velocity of its rotor is constant. The mathematical model of attitude motion is built, and the numerical study of the dynamics is carried out.
{"title":"Investigation of the attitude dynamics of a composite nanosatellite with a gravitational damper on circular orbits","authors":"A. Doroshin, A. Eremenko","doi":"10.1109/ITNT57377.2023.10139197","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139197","url":null,"abstract":"The paper considers the attitude dynamics of a composite nanosatellite on circular orbits. The nanosatellite consists of two modules - a carrier body and a movable unit. The carrier body contains a gravitational damper. Into the movable unit a flywheel engine is installed, and the angular velocity of its rotor is constant. The mathematical model of attitude motion is built, and the numerical study of the dynamics is carried out.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"88 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":"128422966","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/ITNT57377.2023.10139125
Y. Egorov, M. Bretsko, Y. Akimova, A. Volyar, A. Rubass
In this work, studies were carried out in the field of singular beams, in the case of the passage of light beams through gyroanisotropic media. It has been experimentally shown that when Gaussian light beams pass through a system of two gyroanisotropic crystals with opposite values of the gyration coefficient, singular beams with a helical intensity distribution are formed. Using computer simulation of the process of light propagation through two gyroanisotropic crystals, it is shown that such a system is capable of generating optical vortices with a double topological charge in one of the components of circular polarization.
{"title":"Singular Beams Transmitted Gyroanisotropic Crystals","authors":"Y. Egorov, M. Bretsko, Y. Akimova, A. Volyar, A. Rubass","doi":"10.1109/ITNT57377.2023.10139125","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139125","url":null,"abstract":"In this work, studies were carried out in the field of singular beams, in the case of the passage of light beams through gyroanisotropic media. It has been experimentally shown that when Gaussian light beams pass through a system of two gyroanisotropic crystals with opposite values of the gyration coefficient, singular beams with a helical intensity distribution are formed. Using computer simulation of the process of light propagation through two gyroanisotropic crystals, it is shown that such a system is capable of generating optical vortices with a double topological charge in one of the components of circular polarization.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"43 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":"114625569","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/ITNT57377.2023.10139143
M. A. Yakubenko, M. Gashnikov
The paper investigates an entropy model of spatio-temporal characteristics in video compression using machine learning algorithms. A significant drawback of the vast majority of existing works on neural video codecs is the emphasis on the process of optimizing the creation of a latent representation through the study of various network structures, using well-studied models for image compression as an entropy model The model under study makes it possible to effectively evaluate both the spatial and temporal characteristics of compressed video data, which makes it possible to achieve a greater reduction in video redundancy. In addition, the universality of the entropy model also allows you to set the quantization step over the spatial channel. This content-adapted quantization mechanism, similar to rate control in standard codecs, not only helps achieve smooth compression ratio adjustment, but also improves final performance by dynamically distributing quantization intervals. The results of computational experiments on real video sequences confirm the efficiency of the studied video compression method.
{"title":"Entropy Modeling in Video Compression Based on Machine Learning","authors":"M. A. Yakubenko, M. Gashnikov","doi":"10.1109/ITNT57377.2023.10139143","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139143","url":null,"abstract":"The paper investigates an entropy model of spatio-temporal characteristics in video compression using machine learning algorithms. A significant drawback of the vast majority of existing works on neural video codecs is the emphasis on the process of optimizing the creation of a latent representation through the study of various network structures, using well-studied models for image compression as an entropy model The model under study makes it possible to effectively evaluate both the spatial and temporal characteristics of compressed video data, which makes it possible to achieve a greater reduction in video redundancy. In addition, the universality of the entropy model also allows you to set the quantization step over the spatial channel. This content-adapted quantization mechanism, similar to rate control in standard codecs, not only helps achieve smooth compression ratio adjustment, but also improves final performance by dynamically distributing quantization intervals. The results of computational experiments on real video sequences confirm the efficiency of the studied video compression method.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"16 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":"126471502","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/ITNT57377.2023.10138980
R. Kovalenko, A. Tashlinskii, Ivan Ilin
This paper investigated the influence of the entropy order of the mutual information Renyi and Tsallis on the convergence rate of alignment parameter estimates when designing stochastic image alignment algorithms based on these types of mutual information, including under conditions of additive noise. It is shown that the optimal entropy order is found a priori before the design of the alignment algorithm based on the analysis of the slope of the mutual information. The results are compared with those obtained in the case of the Shannon mutual-information-based estimation procedure.
{"title":"The Effect of Entropy Order in Image Aalignment by Maximum Mutual Information Criterion","authors":"R. Kovalenko, A. Tashlinskii, Ivan Ilin","doi":"10.1109/ITNT57377.2023.10138980","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10138980","url":null,"abstract":"This paper investigated the influence of the entropy order of the mutual information Renyi and Tsallis on the convergence rate of alignment parameter estimates when designing stochastic image alignment algorithms based on these types of mutual information, including under conditions of additive noise. It is shown that the optimal entropy order is found a priori before the design of the alignment algorithm based on the analysis of the slope of the mutual information. The results are compared with those obtained in the case of the Shannon mutual-information-based estimation procedure.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"26 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":"131865172","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/ITNT57377.2023.10139188
V. Gridin, I. Novikov, B. Salem, V. Solodovnikov
A relevant and highly demanded modern medicine problem in many of its areas is the timely detection and recognition of pathogenic microorganisms and microbial communities in the patient’s tissues for the speedy prescription and correct use of medicines from mutually exclusive tactics. The transition to a new level in the speed of visualization of the samples’ contents taken and the accuracy of diagnostics is possible because of the use of lanthanide staining in combination with scanning electron microscopy to retrieve a series of high-resolution images with subsequent automatic labelling and classification of microbiological objects. This paper presents the results of using the YOLOv5 neural network model to detect 15 different most common opportunistic classes of bacteria in 380 images. As a result, a 71.5% average accuracy and 69.8% recall were achieved by using the YOLOv5 base model without freezing layers.
{"title":"Classification of the most common conditionally pathogenic microorganisms on SEM images with YOLO model","authors":"V. Gridin, I. Novikov, B. Salem, V. Solodovnikov","doi":"10.1109/ITNT57377.2023.10139188","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139188","url":null,"abstract":"A relevant and highly demanded modern medicine problem in many of its areas is the timely detection and recognition of pathogenic microorganisms and microbial communities in the patient’s tissues for the speedy prescription and correct use of medicines from mutually exclusive tactics. The transition to a new level in the speed of visualization of the samples’ contents taken and the accuracy of diagnostics is possible because of the use of lanthanide staining in combination with scanning electron microscopy to retrieve a series of high-resolution images with subsequent automatic labelling and classification of microbiological objects. This paper presents the results of using the YOLOv5 neural network model to detect 15 different most common opportunistic classes of bacteria in 380 images. As a result, a 71.5% average accuracy and 69.8% recall were achieved by using the YOLOv5 base model without freezing layers.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"35 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134033428","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/ITNT57377.2023.10139175
A. B. Dubman
In this work, the problem was set to calculate the diffraction of vortex beams on curvilinear diffraction gratings, as well as to study the influence of the optical vortex number on the diffraction results.
本文的问题是计算涡旋光束在曲线衍射光栅上的衍射，并研究光学涡旋数对衍射结果的影响。
{"title":"Simulation of diffraction of vortex beams on curvilinear diffraction gratings","authors":"A. B. Dubman","doi":"10.1109/ITNT57377.2023.10139175","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139175","url":null,"abstract":"In this work, the problem was set to calculate the diffraction of vortex beams on curvilinear diffraction gratings, as well as to study the influence of the optical vortex number on the diffraction results.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"10 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":"130081262","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/ITNT57377.2023.10139032
R. Yuzkiv, M. Gashnikov
We study orthogonalization and parametrization of convolutional filters within the framework of the image and video compression method based on machine learning. We use the convolutional filters to interpolate less sparse video frame meshes based on sparser video frame meshes. We consider superresolution neural networks and decision trees as machine learning algorithms at the interpolation stage. Decision trees adaptively select an interpolating function from a predefined set of convolutional filters with parameterized orthogonal weights. The use of adaptive functions can significantly improve the accuracy of interpolation. Optimization of machine learning algorithms makes it possible to use the adaptability of interpolators in the most efficient way. We use orthogonalization and parametrization of convolution filter weights to increase the efficiency of the machine learning interpolation algorithm, which in turn leads to an increase in the efficiency of the image and video compression method in general. Computational experiments demonstrate the advantage of the proposed algorithm in real videos.
{"title":"Orthogonalization and Parameterization of Convolutional Kernels in Machine Learning for Image and Video Compression","authors":"R. Yuzkiv, M. Gashnikov","doi":"10.1109/ITNT57377.2023.10139032","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139032","url":null,"abstract":"We study orthogonalization and parametrization of convolutional filters within the framework of the image and video compression method based on machine learning. We use the convolutional filters to interpolate less sparse video frame meshes based on sparser video frame meshes. We consider superresolution neural networks and decision trees as machine learning algorithms at the interpolation stage. Decision trees adaptively select an interpolating function from a predefined set of convolutional filters with parameterized orthogonal weights. The use of adaptive functions can significantly improve the accuracy of interpolation. Optimization of machine learning algorithms makes it possible to use the adaptability of interpolators in the most efficient way. We use orthogonalization and parametrization of convolution filter weights to increase the efficiency of the machine learning interpolation algorithm, which in turn leads to an increase in the efficiency of the image and video compression method in general. Computational experiments demonstrate the advantage of the proposed algorithm in real videos.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"12 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":"131903237","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/ITNT57377.2023.10139154
Elkhan Khamzin, Dmitry Nesterov, N. Latukhina, Omar Khalmetov
Hypotheses of current transfer mechanisms in electroluminescent structures of porous silicon with erbium ions described by the theory of discrete tunnelling are proposed. The excitation of pre-breakdown electroluminescence in the pores occurs by the flight of charge carriers through the system silicon nanocrystal - erbium cluster - oxide layer. A numerical calculation of the electric field distribution in the porous medium and the current transfer along the chain of silicon nanocrystals has been carried out. The results of calculating the current-voltage characteristic are in qualitative alignment with the experimental data and practically applicable to the description of the theory of electroluminescence in systems with porous silicon.
{"title":"Model representations of electric current transfer in erbium-doped porous silicon","authors":"Elkhan Khamzin, Dmitry Nesterov, N. Latukhina, Omar Khalmetov","doi":"10.1109/ITNT57377.2023.10139154","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139154","url":null,"abstract":"Hypotheses of current transfer mechanisms in electroluminescent structures of porous silicon with erbium ions described by the theory of discrete tunnelling are proposed. The excitation of pre-breakdown electroluminescence in the pores occurs by the flight of charge carriers through the system silicon nanocrystal - erbium cluster - oxide layer. A numerical calculation of the electric field distribution in the porous medium and the current transfer along the chain of silicon nanocrystals has been carried out. The results of calculating the current-voltage characteristic are in qualitative alignment with the experimental data and practically applicable to the description of the theory of electroluminescence in systems with porous silicon.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"94 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":"123763225","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/ITNT57377.2023.10139069
E. Nelyubina, V. Ryazanov, A. Vinogradov
An approach to the problem of finding hidden regularities in applied data is presented, based on the use of generalized precedents and modifications of elements of the wavelet transform in higher dimensions. In this case some new options for enhancement of the small wave shape to better fit a regularity are shown and used.
{"title":"Using Some Features of Wavelets in the Search for Regularities in Applied Data","authors":"E. Nelyubina, V. Ryazanov, A. Vinogradov","doi":"10.1109/ITNT57377.2023.10139069","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139069","url":null,"abstract":"An approach to the problem of finding hidden regularities in applied data is presented, based on the use of generalized precedents and modifications of elements of the wavelet transform in higher dimensions. In this case some new options for enhancement of the small wave shape to better fit a regularity are shown and used.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"1 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":"130873064","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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