2023 IX International Conference on Information Technology and Nanotechnology (ITNT)最新文献

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Features of the use of esCCO technology for the diagnosis of human condition esCCO技术在人体疾病诊断中的应用特点
2023 IX International Conference on Information Technology and Nanotechnology (ITNT) Pub Date : 2023-04-17 DOI: 10.1109/ITNT57377.2023.10139239
Elena Porfirieva, V. Davydov, R. Davydov, Darya Isakova
{"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}
引用次数: 0
Integration of spectral channels in the classification of coniferous and deciduous vegetation from satellite images 卫星影像中针叶和落叶植被分类的光谱通道整合
2023 IX International Conference on Information Technology and Nanotechnology (ITNT) Pub Date : 2023-04-17 DOI: 10.1109/ITNT57377.2023.10139149
S. Zraenko
{"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}
引用次数: 0
Images color rendering accuracy analysis after applying noise reduction models 应用降噪模型后的图像显色精度分析
2023 IX International Conference on Information Technology and Nanotechnology (ITNT) Pub Date : 2023-04-17 DOI: 10.1109/ITNT57377.2023.10139281
A. Kovalenko, Y. Demyanenko
{"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}
引用次数: 0
Prospects for improving the forecasting of the gross domestic product of regions based on mathematical models 改进基于数学模型的地区国内生产总值预测的前景
2023 IX International Conference on Information Technology and Nanotechnology (ITNT) Pub Date : 2023-04-17 DOI: 10.1109/ITNT57377.2023.10139074
Z. Gaibnazarova
{"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}
引用次数: 0
Formation of material structures with improved properties by laser irradiation using diffractive optics 利用衍射光学技术,通过激光照射形成具有改进性能的材料结构
2023 IX International Conference on Information Technology and Nanotechnology (ITNT) Pub Date : 2023-04-17 DOI: 10.1109/ITNT57377.2023.10139165
V. Danilov
{"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}
引用次数: 0
The use of fuzzy ontologies in the clustering of bibliographic information 模糊本体在书目信息聚类中的应用
2023 IX International Conference on Information Technology and Nanotechnology (ITNT) Pub Date : 2023-04-17 DOI: 10.1109/ITNT57377.2023.10139210
A. Dyrnochkin, V. Moshkin
{"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}
引用次数: 0
Interpreting the definition of time series anomalies using fuzzy ontologies 用模糊本体解释时间序列异常的定义
2023 IX International Conference on Information Technology and Nanotechnology (ITNT) Pub Date : 2023-04-17 DOI: 10.1109/ITNT57377.2023.10139035
D. Kurilo, V. Moshkin, I. Andreev, N. Yarushkina
{"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}
引用次数: 0
Analysis of statistically significant indicators for the 4 types of surface electromyography 4种表面肌电图指标的统计学意义分析
2023 IX International Conference on Information Technology and Nanotechnology (ITNT) Pub Date : 2023-04-17 DOI: 10.1109/ITNT57377.2023.10139181
Gleb O. Bondarenko
{"title":"Analysis of statistically significant indicators for the 4 types of surface electromyography","authors":"Gleb O. Bondarenko","doi":"10.1109/ITNT57377.2023.10139181","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139181","url":null,"abstract":"Intensive neuromonitoring at the bedside of patients with severe traumatic brain injury, cerebral stroke, and any acute cerebral insufficiency is crucial for preventing secondary ischemic and hypoxic damage. Multiple authors estimate that traumatic brain injury (TBI) is the most common cause of death and severe disability in people under the age of 35. In addition, men are 2 to 3 times more likely to suffer from TBI than women. TBI can lead to a process of secondary damage that causes long-term neurological and neuropsychiatric consequences, which is a significant public health issue globally. Some studies have demonstrated differences between normal and abnormal muscle electrical activity associated with Parkinson's disease (PD). Some methods have been developed to use electromyography (EMG) as a tool to diagnose motor symptoms associated with PD, such as stiffness, gait disturbance, and tremor. Due to changes in muscle activity caused by a lack of dopamine in the central nervous system, the EMG signal in PD patients shows a different pattern than in a normal person. The use of surface and stimulation EMG directly at the bedside in the intensive care unit during the treatment of acute (TBI, stroke, etc.) and chronic cerebral insufficiency (CCI) of various etiologies, as well as intraoperatively during neurosurgical, otolaryngological, and other interventions, is urgent but difficult due to the use of modern equipment and the length of the examination. The use of surface and stimulation EMG directly at the bedside of the ambulance team in the case of CCI of various etiologies during neurosurgical, otorhinolaryngological, and other interventions is also urgent but difficult due to the use of modern equipment and the length of the examination.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"24 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":"132056706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fast SVM-based One-Class Classification in Large Training Sets 基于svm的大型训练集快速单类分类
2023 IX International Conference on Information Technology and Nanotechnology (ITNT) Pub Date : 2023-04-17 DOI: 10.1109/ITNT57377.2023.10139268
M. Kurbakov, V. Sulimova
{"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}
引用次数: 0
Analysis of sea surface temperature maps via topological machine learning 通过拓扑机器学习分析海洋表面温度图
2023 IX International Conference on Information Technology and Nanotechnology (ITNT) Pub Date : 2023-04-17 DOI: 10.1109/ITNT57377.2023.10139044
Francesco Conti, O. Papini, D. Moroni, G. Pieri, M. Reggiannini, M. A. Pascali
{"title":"Analysis of sea surface temperature maps via topological machine learning","authors":"Francesco Conti, O. Papini, D. Moroni, G. Pieri, M. Reggiannini, M. A. Pascali","doi":"10.1109/ITNT57377.2023.10139044","DOIUrl":"https://doi.org/10.1109/ITNT57377.2023.10139044","url":null,"abstract":"Computational methods to leverage topological features occurring in signals and images are currently one of the most innovative trends in applied mathematics. In this paper a pipeline of topological machine learning is applied to the challenging task of classifying four specific marine mesoscale patterns from remote sensing data, i.e., Sea Surface Temperature maps of the southwestern region of the Iberian Peninsula. Our preliminary study achieves an accuracy of 56% in the 4-label classification. Such results are encouraging, especially considering that the data are affected by noise and that there are low-quality/missing data. Also, the paper devises directions for future improvements.","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":"122377294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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