2021 IEEE 12th International Conference on Electronics and Information Technologies (ELIT)最新文献

An Approximate Method for Constructing Linear Regression Models for Prediction of a Severe Bronchial Asthma Course 构建预测严重支气管哮喘病程的线性回归模型的近似方法

2021 IEEE 12th International Conference on Electronics and Information Technologies (ELIT) Pub Date : 2021-05-19 DOI: 10.1109/ELIT53502.2021.9501123

O. Pihnastyi, O. Kozhyna

{"title":"An Approximate Method for Constructing Linear Regression Models for Prediction of a Severe Bronchial Asthma Course","authors":"O. Pihnastyi, O. Kozhyna","doi":"10.1109/ELIT53502.2021.9501123","DOIUrl":"https://doi.org/10.1109/ELIT53502.2021.9501123","url":null,"abstract":"Diagnosis of a bronchial asthma course in children determines further preventive activities and personalized approaches to treating of a child with such a pathology. An uncontrolled type of the asthma course requires conducting a careful analysis of the factors affecting a formation of severe forms of the disease. The use of linear regression models is a widespread approach that helps to calculate the probability of severe bronchial asthma or the uncontrolled course of the disease development. During this study 90 children aged from 6 to 18 years old were examined. Of these, there were 70 children suffering from bronchial asthma with different severity and 20 healthy children. The examination included an interviewing of patients as well as a definition of clinical features and results of clinical and laboratory examination in the disease course. 142 factors were analyzed to build a three-parameter model. A correlation ratio and numerical characteristics of model regressors were calculated. Conditions of the use of approximate linear regression models were shown and the model accuracy was estimated. A technique of an approximate model of linear regression building both in dimensional and nondimensional forms was considered. The relationship among model ratios was shown.","PeriodicalId":164798,"journal":{"name":"2021 IEEE 12th International Conference on Electronics and Information Technologies (ELIT)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117337741","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

Modeling the Processes of Forming Dynamic Information about the Structure of Classes of Prime Numbers on a Given Basis 在给定的基础上形成质数类结构动态信息的过程建模

2021 IEEE 12th International Conference on Electronics and Information Technologies (ELIT) Pub Date : 2021-05-19 DOI: 10.1109/ELIT53502.2021.9501113

G. Vostrov, R. Opiata

引用次数: 0

Thin Oxide Films for Transparent Electronics and Full Color Displays 用于透明电子和全彩色显示器的氧化薄膜

2021 IEEE 12th International Conference on Electronics and Information Technologies (ELIT) Pub Date : 2021-05-19 DOI: 10.1109/ELIT53502.2021.9501095

O. Bordun, B. Bordun, I. M. Kofliuk, I. Kukharskyy, I. Medvid, M.V. Protsak

{"title":"Thin Oxide Films for Transparent Electronics and Full Color Displays","authors":"O. Bordun, B. Bordun, I. M. Kofliuk, I. Kukharskyy, I. Medvid, M.V. Protsak","doi":"10.1109/ELIT53502.2021.9501095","DOIUrl":"https://doi.org/10.1109/ELIT53502.2021.9501095","url":null,"abstract":"The cathodoluminescence properties of thin oxide films $beta-mathbf{Ga}2mathbf{O}_{3},mathbf{ZnGa}_{2}mathbf{O}_{4},mathbf{ZnGn}_{2}mathbf{O}_{4}:mathbf{Mn},mathbf{Zn}mathbf{Ga}_{2}mathbf{O}_{4}:mathbf{Cr},mathbf{Y}_{2}mathbf{O}_{3}:mathbf{Eu},mathbf{Gd}_{2}mathbf{O}_{3}:mathbf{Eu},(mathbf{Gd}_{2}mathbf{O}_{3})_{0.67}(mathbf{ZnO})_{0.33}: mathbf{Eu},(mathbf{Y}_{0.06}mathbf{Ga}_{0.94})_{2}mathbf{O}_{3}: mathbf{Eu}$ and $(mathbf{Y}_{0.06}mathbf{Ga}_{0.94})_{2}mathbf{O}_{3}$: Cr obtained by high-frequency (HF) ion-plasma sputtering on fused silica substrates. A number of luminescence parameters have been determined and it has been shown that a full-color flat-panel display can be realized on the basis of these films. It is shown that the use of reductive annealing of these films in a hydrogen atmosphere leads to an increase in the electrical conductivity of the films by a factor of $10^{3}-10^{8}$. The results were discussed and it was found that electrically conductive thin-film phosphors $beta-mathbf{Ga}_{2}mathbf{O}_{3}$ (blue luminescence), $mathbf{Gd}_{2}mathbf{O}_{3}:mathbf{Eu}$ (red luminescence) and especially $(mathbf{Gd}_{2}mathbf{O}_{3})_{0.67}(mathbf{ZnO})_{0.33}: mathbf{Eu}$ (red luminescence) are quite promising for use in full-color displays with the point of view of their luminescent and energy properties.","PeriodicalId":164798,"journal":{"name":"2021 IEEE 12th International Conference on Electronics and Information Technologies (ELIT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122327029","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

Using Color Histograms for Shrunk Images Comparison 使用颜色直方图进行收缩图像比较

2021 IEEE 12th International Conference on Electronics and Information Technologies (ELIT) Pub Date : 2021-05-19 DOI: 10.1109/ELIT53502.2021.9501117

Y. Furgala, A. Velhosh, S. Velhosh, B. Rusyn

引用次数: 2

Fast Luminescence Studies of NaLaF4: Pr3+ Glass Ceramics NaLaF4: Pr3+玻璃陶瓷的快速发光研究

2021 IEEE 12th International Conference on Electronics and Information Technologies (ELIT) Pub Date : 2021-05-19 DOI: 10.1109/ELIT53502.2021.9501063

E. Elsts, M. Kemere, S. Omelkov, G. Krieke, Anatoli I. Popov

引用次数: 0

Correlation-based Contactless Hand-Gesture Detection for Capacitive Sensing 基于相关性的电容感应非接触式手势检测

2021 IEEE 12th International Conference on Electronics and Information Technologies (ELIT) Pub Date : 2021-05-19 DOI: 10.1109/ELIT53502.2021.9501121

Zinovii Liubun, V. Mandziy, O. Karpin, V. Rabyk

引用次数: 0

Sequential Method of Reliability Parameters Estimation for Radio Equipment 无线电设备可靠性参数估计的序贯方法

2021 IEEE 12th International Conference on Electronics and Information Technologies (ELIT) Pub Date : 2021-05-19 DOI: 10.1109/ELIT53502.2021.9501099

M. Zaliskyi, O. Solomentsev, N. Kuzmenko, F. Yanovsky, O. Shcherbyna, O. Sushchenko, I. Ostroumov, Y. Averyanova

{"title":"Sequential Method of Reliability Parameters Estimation for Radio Equipment","authors":"M. Zaliskyi, O. Solomentsev, N. Kuzmenko, F. Yanovsky, O. Shcherbyna, O. Sushchenko, I. Ostroumov, Y. Averyanova","doi":"10.1109/ELIT53502.2021.9501099","DOIUrl":"https://doi.org/10.1109/ELIT53502.2021.9501099","url":null,"abstract":"Radio equipment for aircraft flight supporting consists of communication, navigation and surveillance devices. These devices are used to provide the safety and regularity of aircraft flights. During radio equipment operation the processes of intended use, maintenance, repair, continuation of life service are implemented. The decision-making about control and preventive actions for these processes is based on the results of statistical data processing. In such cases statistical methods with predetermined sample size are used. This paper concentrates on the problem of synthesis of sequential method that allows making decision faster for given level of data processing effectiveness. The researched sequential method is used for estimation of reliability parameters based on priory information about these parameters distribution and functional transformation of corresponding probability density function. During solving analysis problem, the probability density functions of estimate and observation duration are calculated.","PeriodicalId":164798,"journal":{"name":"2021 IEEE 12th International Conference on Electronics and Information Technologies (ELIT)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123952157","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: 5

Calculation of Fourier Spectra of Amplitude Function of Incommensurate Superstructure Described by Two Components Parameter of Order (N=4) 二阶参数描述的不相称上部结构振幅函数的傅里叶谱计算(N=4)

2021 IEEE 12th International Conference on Electronics and Information Technologies (ELIT) Pub Date : 2021-05-19 DOI: 10.1109/ELIT53502.2021.9501103

S. Sveleba, I. Katerynchuk, I. Kuno, I. Karpa, O. Semotyjuk

引用次数: 0

Energy Harvesting Systems from Photovoltaic Modules 光伏组件的能量收集系统

2021 IEEE 12th International Conference on Electronics and Information Technologies (ELIT) Pub Date : 2021-05-19 DOI: 10.1109/ELIT53502.2021.9501130

V. Martynyuk, Grygoriy Il'chuk, Roman Petrus

引用次数: 0

Machine Learning Model of COVID-19 Forecasting in Ukraine Based on the Linear Regression 基于线性回归的乌克兰COVID-19预测机器学习模型

2021 IEEE 12th International Conference on Electronics and Information Technologies (ELIT) Pub Date : 2021-05-19 DOI: 10.1109/ELIT53502.2021.9501122

A. Mohammadi, D. Chumachenko, T. Chumachenko

{"title":"Machine Learning Model of COVID-19 Forecasting in Ukraine Based on the Linear Regression","authors":"A. Mohammadi, D. Chumachenko, T. Chumachenko","doi":"10.1109/ELIT53502.2021.9501122","DOIUrl":"https://doi.org/10.1109/ELIT53502.2021.9501122","url":null,"abstract":"Coronavirus or COVID-19 is a widespread pandemic that has affected almost all countries around the globe. The quantity of infected cases and deceased patients has been increasing at a fast pace globally. This virus not only is in charge of infecting billions of people but also affecting the economy of almost the whole world drastically. Thus, detailed studies are required to illustrating the following trend of the COVID-19 to develop proper short-term prediction models for forecasting the number of future cases. Generally, forecasting techniques are be inculcated in order to assist in designing better strategies and as well as making productive decisions. The forecasting techniques assess the situations of the past thereby enabling predictions about the situation in the future would be possible. Moreover, these predictions hopefully lead to preparation against potentially possible consequences and threats. It's crucial to point out that Forecasting techniques play a vital role in drawing accurate predictions. In this research, we categorize forecasting techniques into different types, including stochastic theory mathematical models and data science/machine learning techniques. In this perspective, it is feasible to generate and develop strategic planning in the public health system to prohibit more deceased cases and managing infected cases. Here, some forecast models based on machine learning are introduced and comprising the Linear Regression model which is assessed for time series prediction of confirmed, deaths, and recovered cases in Ukraine and the globe. It turned out that the Linear Regression model is feasible to implement and reliable in illustrating the trend of COVID-19.","PeriodicalId":164798,"journal":{"name":"2021 IEEE 12th International Conference on Electronics and Information Technologies (ELIT)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127998148","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: 2