Pub Date : 2023-04-17DOI: 10.1109/ITNT57377.2023.10139239
Elena Porfirieva, V. Davydov, R. Davydov, Darya Isakova
The necessity of expanding the use of esCCO technology to determine the state of human health, especially if he is in a critical and close to it state, is justified. In this case, it is important to get the necessary information in a shorter period of time than using other methods. The features of the application of esCCO technology to determine the human condition in various situations by changing cardiac output are established. Examples of registration of various parameters for calculating cardiac output using esCCO technology and experimental data on changes in cardiac output over time are presented.
{"title":"Features of the use of esCCO technology for the diagnosis of human condition","authors":"Elena Porfirieva, V. Davydov, R. Davydov, Darya Isakova","doi":"10.1109/ITNT57377.2023.10139239","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139239","url":null,"abstract":"The necessity of expanding the use of esCCO technology to determine the state of human health, especially if he is in a critical and close to it state, is justified. In this case, it is important to get the necessary information in a shorter period of time than using other methods. The features of the application of esCCO technology to determine the human condition in various situations by changing cardiac output are established. Examples of registration of various parameters for calculating cardiac output using esCCO technology and experimental data on changes in cardiac output over time are presented.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"46 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":"127078927","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/ITNT57377.2023.10139149
S. Zraenko
The results of the study of the classification procedure of coniferous and deciduous, as well as coniferous and mixed (in equal percentages) vegetation according to Landsat–7 images for different seasons of the year are presented. Spectral channels with a spatial resolution of 30 meters were used. Vegetation classification was carried out by brightness characteristics using the nearest neighbor method. The reference brightness of objects (simple standards) was determined by their mathematical expectations in each spectral channel for each season. Additionally, aggregated standards are formed by combining the brightness of plant objects in spectral channels. It is shown that when separating coniferous and deciduous objects, the probability of correct selection of coniferous can reach 1.0000 when using simple standards. At the same time, the probability of correct allocation of deciduous does not exceed 0.9697. The use of aggregated standards makes it possible to increase this probability to 0.9899. When classifying coniferous and mixed vegetation, the effectiveness of aggregated standards turned out to be lower than that of simple ones selected by spectral channels and shooting seasons. The obtained results suggest the continuation of research when dividing plant objects into a larger number of classes.
{"title":"Integration of spectral channels in the classification of coniferous and deciduous vegetation from satellite images","authors":"S. Zraenko","doi":"10.1109/ITNT57377.2023.10139149","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139149","url":null,"abstract":"The results of the study of the classification procedure of coniferous and deciduous, as well as coniferous and mixed (in equal percentages) vegetation according to Landsat–7 images for different seasons of the year are presented. Spectral channels with a spatial resolution of 30 meters were used. Vegetation classification was carried out by brightness characteristics using the nearest neighbor method. The reference brightness of objects (simple standards) was determined by their mathematical expectations in each spectral channel for each season. Additionally, aggregated standards are formed by combining the brightness of plant objects in spectral channels. It is shown that when separating coniferous and deciduous objects, the probability of correct selection of coniferous can reach 1.0000 when using simple standards. At the same time, the probability of correct allocation of deciduous does not exceed 0.9697. The use of aggregated standards makes it possible to increase this probability to 0.9899. When classifying coniferous and mixed vegetation, the effectiveness of aggregated standards turned out to be lower than that of simple ones selected by spectral channels and shooting seasons. The obtained results suggest the continuation of research when dividing plant objects into a larger number of classes.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"22 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":"130567193","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/ITNT57377.2023.10139281
A. Kovalenko, Y. Demyanenko
Image restoration approaches are widely-used. Frequently, the tasks of image resolution enhancement and image noise canceling on are solved using neural networks. After applying an algorithm or neural network model to an image, the result may contain distorted colors during the restoration process due to information losses. Distortion level is hard to estimate because clear images marked as ground-truth samples may still contain noise components. For image enhancement tasks, it is extremely important to save the original colors when they are transformed. To solve this problem it is necessary to use special devices which allow us to calculate color rendering quality of the obtained image. In this work we estimated the level of color rendering preservation for the results of modern neural network models for image noise reduction.
{"title":"Images color rendering accuracy analysis after applying noise reduction models","authors":"A. Kovalenko, Y. Demyanenko","doi":"10.1109/ITNT57377.2023.10139281","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139281","url":null,"abstract":"Image restoration approaches are widely-used. Frequently, the tasks of image resolution enhancement and image noise canceling on are solved using neural networks. After applying an algorithm or neural network model to an image, the result may contain distorted colors during the restoration process due to information losses. Distortion level is hard to estimate because clear images marked as ground-truth samples may still contain noise components. For image enhancement tasks, it is extremely important to save the original colors when they are transformed. To solve this problem it is necessary to use special devices which allow us to calculate color rendering quality of the obtained image. In this work we estimated the level of color rendering preservation for the results of modern neural network models for image noise reduction.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"66 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":"130959563","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/ITNT57377.2023.10139074
Z. Gaibnazarova
Methods for choosing the prospects for improving the forecasting of the gross domestic product of regions based on mathematical models are considered. Econometric models are used in forecasting the gross domestic product of the regions. These methods will help to identify the factors influencing the improvement of the gross domestic product of the regions, and to assess their impact. In addition, when analyzing the gross domestic product of the regions, the degree of interrelationships of influencing factors was calculated using the statistical grouping method. At the same time, methods of economic and mathematical modeling and multivariate econometric analysis were used. Several econometric models have been developed to predict economic indicators using data that fully reflect the dynamics of the prospects for improving the production of the gross domestic product of the regions. For these purposes, we have analyzed the development of forecasting the regional economic system using econometric models. The interrelation of factors influencing the productivity of the gross domestic product of the regions has been studied.
{"title":"Prospects for improving the forecasting of the gross domestic product of regions based on mathematical models","authors":"Z. Gaibnazarova","doi":"10.1109/ITNT57377.2023.10139074","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139074","url":null,"abstract":"Methods for choosing the prospects for improving the forecasting of the gross domestic product of regions based on mathematical models are considered. Econometric models are used in forecasting the gross domestic product of the regions. These methods will help to identify the factors influencing the improvement of the gross domestic product of the regions, and to assess their impact. In addition, when analyzing the gross domestic product of the regions, the degree of interrelationships of influencing factors was calculated using the statistical grouping method. At the same time, methods of economic and mathematical modeling and multivariate econometric analysis were used. Several econometric models have been developed to predict economic indicators using data that fully reflect the dynamics of the prospects for improving the production of the gross domestic product of the regions. For these purposes, we have analyzed the development of forecasting the regional economic system using econometric models. The interrelation of factors influencing the productivity of the gross domestic product of the regions has been studied.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"39 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":"116609007","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/ITNT57377.2023.10139165
V. Danilov
The problems of improving the aggregate physical and mechanical properties of materials constitute one of the most relevant areas of research in order to further address important practical tasks in a wide spectrum of industrial development areas. Through targeted modification of the materials' structure, it is possible to control their strength, hardness and elasticity, increase resistance to corrosion and reduce the amount of energy required for friction. Laser treatment is used to carry out such advanced modification techniques. The feasibility of using diffractive elements of computer optics for redistribution of laser irradiation intensity in the focal plane, which largely determines the course of structurization processes in the processed materials, is shown. A predetermined spatial profile of the intensity in a specified area of the material surface can be achieved only with the use of appropriate optical systems that ensure the required temperature effect.
{"title":"Formation of material structures with improved properties by laser irradiation using diffractive optics","authors":"V. Danilov","doi":"10.1109/ITNT57377.2023.10139165","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139165","url":null,"abstract":"The problems of improving the aggregate physical and mechanical properties of materials constitute one of the most relevant areas of research in order to further address important practical tasks in a wide spectrum of industrial development areas. Through targeted modification of the materials' structure, it is possible to control their strength, hardness and elasticity, increase resistance to corrosion and reduce the amount of energy required for friction. Laser treatment is used to carry out such advanced modification techniques. The feasibility of using diffractive elements of computer optics for redistribution of laser irradiation intensity in the focal plane, which largely determines the course of structurization processes in the processed materials, is shown. A predetermined spatial profile of the intensity in a specified area of the material surface can be achieved only with the use of appropriate optical systems that ensure the required temperature effect.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"17 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":"127555935","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/ITNT57377.2023.10139210
A. Dyrnochkin, V. Moshkin
This article presents an approach to clustering short texts using a fuzzy ontology. We propose a modification of the TF-IDF model for vectorization of short texts using a fuzzy ontology. A fuzzy ontology determines the degree of membership between the terms of the subject area. The paper presents a comparison of the efficiency of 4 types of clustering (K-means, MiniBatchKMeans, DBSCAN, Agglomerative) and 3 types of short text vectorization (Bag of Words, Word2Vec and modified TF-IDF). The most effective was the use of K-means and modified TF-IDF for short texts from the news portal. The second set of experiments consisted in clustering texts of abstracts of scientific articles from the elibrary portal. The results of the experiments will be used to create new scientific groups and expand existing scientific groups on topics.
本文提出了一种基于模糊本体的短文本聚类方法。我们提出了一种使用模糊本体对TF-IDF模型进行向量化的改进。模糊本体决定了主题领域术语之间的隶属度。本文比较了4种聚类方法(K-means、MiniBatchKMeans、DBSCAN、Agglomerative)和3种短文本矢量化方法(Bag of Words、Word2Vec和modified TF-IDF)的效率。最有效的方法是对新闻门户网站的短文本使用K-means和改进的TF-IDF。第二组实验包括从图书馆门户网站的科学文章摘要的聚类文本。实验结果将用于创建新的科学小组，并在主题上扩展现有的科学小组。
{"title":"The use of fuzzy ontologies in the clustering of bibliographic information","authors":"A. Dyrnochkin, V. Moshkin","doi":"10.1109/ITNT57377.2023.10139210","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139210","url":null,"abstract":"This article presents an approach to clustering short texts using a fuzzy ontology. We propose a modification of the TF-IDF model for vectorization of short texts using a fuzzy ontology. A fuzzy ontology determines the degree of membership between the terms of the subject area. The paper presents a comparison of the efficiency of 4 types of clustering (K-means, MiniBatchKMeans, DBSCAN, Agglomerative) and 3 types of short text vectorization (Bag of Words, Word2Vec and modified TF-IDF). The most effective was the use of K-means and modified TF-IDF for short texts from the news portal. The second set of experiments consisted in clustering texts of abstracts of scientific articles from the elibrary portal. The results of the experiments will be used to create new scientific groups and expand existing scientific groups on topics.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"185 4 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":"132712732","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/ITNT57377.2023.10139035
D. Kurilo, V. Moshkin, I. Andreev, N. Yarushkina
The paper describes an approach to detecting time series anomalies, taking into account the specifics of the subject area, represented as a fuzzy ontology. The approach involves the use of LSTM (long short-term memory) networks for the mathematical search for anomalies, fuzzy ontology allows you to filter the detection results and draw an inference for decision making.
{"title":"Interpreting the definition of time series anomalies using fuzzy ontologies","authors":"D. Kurilo, V. Moshkin, I. Andreev, N. Yarushkina","doi":"10.1109/ITNT57377.2023.10139035","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139035","url":null,"abstract":"The paper describes an approach to detecting time series anomalies, taking into account the specifics of the subject area, represented as a fuzzy ontology. The approach involves the use of LSTM (long short-term memory) networks for the mathematical search for anomalies, fuzzy ontology allows you to filter the detection results and draw an inference for decision making.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"14 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":"134143744","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/ITNT57377.2023.10139268
M. Kurbakov, V. Sulimova
SVM is one of the popular methods to solve One-Class classification problem. However, it is time and space-consuming. This fact makes it hard or even impossible to apply SVM for large training sets. In this paper we propose fast method (One-Class Kernel-based Mean Decision Rule method, OC-KMDR) to find an approximate decision of One-Class SVM problem. The main advantages of the proposed approach are: 1) the obtained decision is near exact (and in a number of cases the method can outperform the original SVM in quality); 2) the obtained decision has absolutely the same structure as the original SVM; 3) the absence of theoretical restriction for the training set size; 4) it can be realized in an iterative manner but without inter-iteration data dependencies, and, as a result, provides the possibility for effective parallel computing. Experimental study of the proposed OC-KMDR-method in series of simulated large data sets shows that it outperforms existing methods for solving One-Class SVM problem in a computing time or(and) in a decision quality.
{"title":"Fast SVM-based One-Class Classification in Large Training Sets","authors":"M. Kurbakov, V. Sulimova","doi":"10.1109/ITNT57377.2023.10139268","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139268","url":null,"abstract":"SVM is one of the popular methods to solve One-Class classification problem. However, it is time and space-consuming. This fact makes it hard or even impossible to apply SVM for large training sets. In this paper we propose fast method (One-Class Kernel-based Mean Decision Rule method, OC-KMDR) to find an approximate decision of One-Class SVM problem. The main advantages of the proposed approach are: 1) the obtained decision is near exact (and in a number of cases the method can outperform the original SVM in quality); 2) the obtained decision has absolutely the same structure as the original SVM; 3) the absence of theoretical restriction for the training set size; 4) it can be realized in an iterative manner but without inter-iteration data dependencies, and, as a result, provides the possibility for effective parallel computing. Experimental study of the proposed OC-KMDR-method in series of simulated large data sets shows that it outperforms existing methods for solving One-Class SVM problem in a computing time or(and) in a decision quality.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"51 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":"115505881","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/ITNT57377.2023.10139061
Anna Glazkova, Dmitry Morozov
Automatic selection of keyphrases (keywords) is a major challenge to finding and systematizing scholarly documents. This paper investigates the efficiency of using titles of scientific papers as additional information for keyphrase generation. We propose an approach to multi-task fine-tuning the BART model using control codes1. It is shown that the suggested approach can improve the performance of BART for the task of keyphrase generation. In some cases, the presented model outperforms state-of-the-art models for keyphrase extraction. Moreover, the results have demonstrated that multitask fine-tuning also increases the performance of title generation.
{"title":"Multi-task fine-tuning for generating keyphrases in a scientific domain","authors":"Anna Glazkova, Dmitry Morozov","doi":"10.1109/ITNT57377.2023.10139061","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139061","url":null,"abstract":"Automatic selection of keyphrases (keywords) is a major challenge to finding and systematizing scholarly documents. This paper investigates the efficiency of using titles of scientific papers as additional information for keyphrase generation. We propose an approach to multi-task fine-tuning the BART model using control codes1. It is shown that the suggested approach can improve the performance of BART for the task of keyphrase generation. In some cases, the presented model outperforms state-of-the-art models for keyphrase extraction. Moreover, the results have demonstrated that multitask fine-tuning also increases the performance of title generation.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"33 6 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":"123339714","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/ITNT57377.2023.10139100
A. Kharitonov, A. I. Minibaev, S. Kharintsev
Time-varying media open up unprecedented abilities for controlling electromagnetic fields. This is due to novel forms of light-matter interactions that arise when one of the optical parameters of the medium is abruptly switched in time. The latter means that the switching time is shorter than the period of wave oscillations. This requirement makes it challenging to implement time-varying materials suitable for applications in the optical spectral range. This work is devoted to the development of an approach for implementing time-varying media with a large depth and speed of modulation of the refractive index. We exploit a system, consisting of plasmonic antennas coupled to nonlinear material with epsilon-near-zero (ENZ) properties. Hybrid plasmonic-ENZ structures modulated by pulsed laser excitation have been recently proposed as a promising platform for time-varying photonics. However, the optical response of plasmonic components is typically slow, on the order of 10-100 fs. This stems from the long lifetime of plasmonic excitations. Here, we propose a mechanism that allows one to achieve an ultrashort, less than 1 fs, plasmon lifetime. The mechanism is based on reducing of the spectral dispersion of the real part of permittivity. For this purpose, we used titanium oxynitride (TiOxNy), which represents a plasmonic material with tunable optical properties. We synthesized a series of TiOxNy thin films using various parameters of magnetron sputtering. This allowed us to achieve a unique behavior, such as broadband flat dispersion of the dielectric function in the near-infrared range. Under these conditions, the optical response becomes local in time. The results of this study provide novel opportunities for designing and practical implementation of photonic devices based on time-varying media.
{"title":"Plasmonic nanostructures with local temporal response: a platform for time-varying photonics","authors":"A. Kharitonov, A. I. Minibaev, S. Kharintsev","doi":"10.1109/ITNT57377.2023.10139100","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139100","url":null,"abstract":"Time-varying media open up unprecedented abilities for controlling electromagnetic fields. This is due to novel forms of light-matter interactions that arise when one of the optical parameters of the medium is abruptly switched in time. The latter means that the switching time is shorter than the period of wave oscillations. This requirement makes it challenging to implement time-varying materials suitable for applications in the optical spectral range. This work is devoted to the development of an approach for implementing time-varying media with a large depth and speed of modulation of the refractive index. We exploit a system, consisting of plasmonic antennas coupled to nonlinear material with epsilon-near-zero (ENZ) properties. Hybrid plasmonic-ENZ structures modulated by pulsed laser excitation have been recently proposed as a promising platform for time-varying photonics. However, the optical response of plasmonic components is typically slow, on the order of 10-100 fs. This stems from the long lifetime of plasmonic excitations. Here, we propose a mechanism that allows one to achieve an ultrashort, less than 1 fs, plasmon lifetime. The mechanism is based on reducing of the spectral dispersion of the real part of permittivity. For this purpose, we used titanium oxynitride (TiOxNy), which represents a plasmonic material with tunable optical properties. We synthesized a series of TiOxNy thin films using various parameters of magnetron sputtering. This allowed us to achieve a unique behavior, such as broadband flat dispersion of the dielectric function in the near-infrared range. Under these conditions, the optical response becomes local in time. The results of this study provide novel opportunities for designing and practical implementation of photonic devices based on time-varying media.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"42 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":"124777756","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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