2022 IEEE 4th International Conference on Advanced Trends in Information Theory (ATIT)最新文献_第7页

Making Real Time Bidding Solution for Video ADS 制作视频广告实时竞价解决方案

2022 IEEE 4th International Conference on Advanced Trends in Information Theory (ATIT) Pub Date : 2022-12-15 DOI: 10.1109/ATIT58178.2022.10024198

E. Ivohin, Dmytro Biriukov, M. Makhno

引用次数: 0

The Influence of the Fourier Transform Convergence on the Continuous Signals Processing 傅里叶变换收敛性对连续信号处理的影响

2022 IEEE 4th International Conference on Advanced Trends in Information Theory (ATIT) Pub Date : 2022-12-15 DOI: 10.1109/ATIT58178.2022.10024197

V. Sobchuk, Yurii Kharkevych, I. Kal’chuk, Andriy Makarchuk, Galyna Kharkevych, Uliana Hrabova

引用次数: 0

Steganographic Coding Technology for Hiding Information in Infocommunication Systems of Critical Infrastructure 关键基础设施信息通信系统信息隐藏的隐写编码技术

2022 IEEE 4th International Conference on Advanced Trends in Information Theory (ATIT) Pub Date : 2022-12-15 DOI: 10.1109/ATIT58178.2022.10024185

D. Barannik, V. Barannik

引用次数: 1

Nonparametric Homogeneity Test for Small Samples and Its Applications to COVID-19 Epidemic Curves Forecasting 小样本非参数齐性检验及其在COVID-19流行曲线预测中的应用

2022 IEEE 4th International Conference on Advanced Trends in Information Theory (ATIT) Pub Date : 2022-12-15 DOI: 10.1109/ATIT58178.2022.10024177

D. Klyushin

{"title":"Nonparametric Homogeneity Test for Small Samples and Its Applications to COVID-19 Epidemic Curves Forecasting","authors":"D. Klyushin","doi":"10.1109/ATIT58178.2022.10024177","DOIUrl":"https://doi.org/10.1109/ATIT58178.2022.10024177","url":null,"abstract":"The COVID-19 pandemic is accompanied by intensive attempts to build mathematical models to predict it. For this, various models are used, both traditional differential equations and machine learning models. Classical epidemiological compartment models contain parameters that are difficult to measure. Their results are used to model various scenarios, but it is difficult to obtain a reliable forecast with their help. Machine learning models, on the other hand, do not use prior assumptions, and their inferences are based only on training samples. This usually results in more reliable forecasts. In both the first and second cases, it is necessary not only to estimate the forecast error, but to compare the prediction accuracy of different models by checking the error homogeneity also. An additional factor complicating the problem is the small size of available samples in some cases. This forces one to resort to resampling methods. The article describes the Klyushin-Petunin test for testing the homogeneity of samples with ties in a multi-sample design and compares it with the traditional Anderson-Darling, Kruskal-Wallis and Friedman tests using the example of three methods for predicting the COVID-19 epidemic in the basis of epidemic data in Germany, Japan, South Korea and Ukraine.","PeriodicalId":264053,"journal":{"name":"2022 IEEE 4th International Conference on Advanced Trends in Information Theory (ATIT)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122357947","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 Concept Of Creating A Complex Cryptocompression Image Protection System In Infocommunications 在信息通信中创建复杂加密压缩图像保护系统的构想

2022 IEEE 4th International Conference on Advanced Trends in Information Theory (ATIT) Pub Date : 2022-12-15 DOI: 10.1109/ATIT58178.2022.10024210

V. Barannik, Serhii Sidchenko, D. Barannik, O. Ignatyev

引用次数: 0

Model of an Autonomous Monitoring System Based on Long Range Technology 基于远程技术的自主监控系统模型

2022 IEEE 4th International Conference on Advanced Trends in Information Theory (ATIT) Pub Date : 2022-12-15 DOI: 10.1109/ATIT58178.2022.10024226

V. Afanasiev, Vadym Fustii, Yrii Afanasiev, S. Andrieiev, D. Stepanenko, Pavlo Breus

{"title":"Model of an Autonomous Monitoring System Based on Long Range Technology","authors":"V. Afanasiev, Vadym Fustii, Yrii Afanasiev, S. Andrieiev, D. Stepanenko, Pavlo Breus","doi":"10.1109/ATIT58178.2022.10024226","DOIUrl":"https://doi.org/10.1109/ATIT58178.2022.10024226","url":null,"abstract":"The article presents the results of the development of an integrated monitoring system based on the use of various methods of positioning and wireless transmission of information. The system is based on the use of modern technologies for data transmission over long distances. LoRa technology is at the heart of solving the problem of information transfer and data exchange. The task of monitoring the parameters of the control zone is performed on the basis of data from a distributed network of various sensors that determine the actual parameters and transmit them to the server through a network of relay data transmission nodes. A feature of the presented model is the possibility of forming an autonomous monitoring system that allows you to control the parameters of the atmosphere, the radiation background in hard-to-reach areas, as well as areas where the functioning of stationary systems is disrupted, etc. The positioning problem is solved based on the use of GNSS data. The task of detecting failures in GNSS data reception, as well as the presence of interference, can be solved by applying positioning methods based on signal parameter processing methods. The complex solution proposed in the paper allows us to consider it as one of the alternative systems for monitoring tasks, both on stationary and mobile ground (air, sea) based platforms. Theoretical provisions are confirmed by the results of the experiment to test the functioning of the network of relay nodes for the transmission of coordinate information of the monitoring position with the function of controlling the parameters of the received data packet. The presented model of an autonomous monitoring system can be an element of a decision support system, which is due to the possibility of obtaining actual information about the state of the control object.","PeriodicalId":264053,"journal":{"name":"2022 IEEE 4th International Conference on Advanced Trends in Information Theory (ATIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126863217","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 Methods of Joint Signal Discrimination and Parameters Estimation in non-Gaussian Noise 非高斯噪声下的联合信号识别与参数估计方法

2022 IEEE 4th International Conference on Advanced Trends in Information Theory (ATIT) Pub Date : 2022-12-15 DOI: 10.1109/ATIT58178.2022.10024190

Daniil V. Smirnov, O. Zorin, E. Palahina, Valentyn Chepynoha, A. Honcharov, V. Palahin

引用次数: 0