2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT)最新文献_第6页

Methodological Fundamentals of Deciphering Coding of Aerophotography Segments on Special Equipment of Unmanned Complex 无人综合体专用设备航拍段解码的方法学基础

2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT) Pub Date : 2020-11-25 DOI: 10.1109/ATIT50783.2020.9349257

V. Barannik, S. Shulgin, A. Krasnorutsky, O. Slobodyanyuk, Pavlo Gurzhii, N. Korolyova

引用次数: 6

Usage of Fourier transformation theory in machine translation 傅立叶变换理论在机器翻译中的应用

2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT) Pub Date : 2020-11-25 DOI: 10.1109/ATIT50783.2020.9349329

Galyna Kharkevych, Yurii Kharkevych, I. Kal’chuk, V. Sobchuk

引用次数: 5

Research on the Formation Level of Methodological Competence of it Disciplines Teachers 信息技术学科教师方法论能力的形成水平研究

2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT) Pub Date : 2020-11-25 DOI: 10.1109/ATIT50783.2020.9349337

A. Biloshchytskyi, S. Omirbayev, A. Mukhatayev, A. Faizullin, S. Toxanov, K. Kassenov

引用次数: 2

Technology for Protecting Video Information Resources in the Info-Communication Space 信息通信空间中视频信息资源保护技术

2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT) Pub Date : 2020-11-25 DOI: 10.1109/ATIT50783.2020.9349324

V. Barannik, Sergy Sidchenko, D. Barannik

引用次数: 20

Cyber-Physical-Logistical Systems: State-of-the-Art 网络物理物流系统:最先进的

2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT) Pub Date : 2020-11-25 DOI: 10.1109/ATIT50783.2020.9349296

Illia Holovatenko, A. Pysarenko

引用次数: 0

Synthesis of the Structure of Multilevel Hierarchical Systems of Increased Survivability Based on a Subjective Probability Model 基于主观概率模型的高生存能力多层分层系统结构综合

2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT) Pub Date : 2020-11-25 DOI: 10.1109/ATIT50783.2020.9349294

V. Bondarenko, Yu. K. Kravchenko, Serhii Salkutsan, Maksym Tyshchenko

{"title":"Synthesis of the Structure of Multilevel Hierarchical Systems of Increased Survivability Based on a Subjective Probability Model","authors":"V. Bondarenko, Yu. K. Kravchenko, Serhii Salkutsan, Maksym Tyshchenko","doi":"10.1109/ATIT50783.2020.9349294","DOIUrl":"https://doi.org/10.1109/ATIT50783.2020.9349294","url":null,"abstract":"The paper is devoted to the synthesis of complex, multilevel hierarchical systems of high survivability, in particular, telecommunication (computer) networks. The computer network is constantly exposed to the destructive effects of the environment in which it operates. Therefore, there is an urgent problem of increasing survivable telecommunication (computer) networks for counteract of such influences, and maintaining the efficiency of such systems.Destructive effects on the network are usually random, but the assessment of such random events, based on classical probability theory, encounters serious difficulties because such events are not systematic and are not massive, which are necessary to assess the frequency of events that determine their classical probabilities.The paper proposes a model for the synthesis of a survivable hierarchical telecommunication (computer) networks. This model is formulated as the problem of nonlinear Boolean programming. The model uses subjective probabilities of efficiency of connection of various devices of a network in the conditions of destructive influences. The network is formed according to the criterion of maximum survivability (subjective probability of network operation under destructive influences).The proposed approach is studied on hierarchical telecommunication (computer) networks. However, the generality of the approach to the construction of survivable hierarchical systems, gives hope for the implementation of the developed approach to the synthesis of survivable multilevel hierarchical systems in other areas, including organizational management, political and economic systems.","PeriodicalId":312916,"journal":{"name":"2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131824075","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: 7

The method of improving the signal detection quality by accounting for interference 考虑干扰因素提高信号检测质量的方法

2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT) Pub Date : 2020-11-25 DOI: 10.1109/ATIT50783.2020.9349298

O. Laptiev, I. Polovinkin, Savchenko Vitalii, O. Stefurak, O. Barabash, O. Zelikovska

{"title":"The method of improving the signal detection quality by accounting for interference","authors":"O. Laptiev, I. Polovinkin, Savchenko Vitalii, O. Stefurak, O. Barabash, O. Zelikovska","doi":"10.1109/ATIT50783.2020.9349298","DOIUrl":"https://doi.org/10.1109/ATIT50783.2020.9349298","url":null,"abstract":"In the process of detecting the radio signal of information transmission in information systems, an urgent issue is to increase noise immunity. The article investigates the peculiarities of using low - pass filters with quadratic and linear dependence of the response on the input signal. It is shown that the principle of operation of filters is that the summation process is performed. In this case, the useful signal is summed coherently, and the interference signal is incoherent, ie the useful signal increases and the interference signal decreases.When influencing the input of linear and square filters, a rectangular pulse that mimics the signal of modern digital radio signals, the necessary parameters for further use of input and output signals are determined: mathematical expectation, correlation coefficient, variance, standard deviation.It is proved that the use of narrow-band low-pass filters in the process of signal processing allows to increase the noise immunity of the system for detection, recognition and localization of radio signals by 11%.Modeling of the process of filtering radio signals at different correlation coefficients is carried out. The simulation results confirmed the results of theoretical calculations.","PeriodicalId":312916,"journal":{"name":"2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT)","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131924822","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: 1

Evaluation of the Coherence of Ukrainian Texts Using a Transformer Architecture 用变压器结构评价乌克兰语文本的连贯性

2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT) Pub Date : 2020-11-25 DOI: 10.1109/ATIT50783.2020.9349355

A. Kramov, S. Pogorilyy

{"title":"Evaluation of the Coherence of Ukrainian Texts Using a Transformer Architecture","authors":"A. Kramov, S. Pogorilyy","doi":"10.1109/ATIT50783.2020.9349355","DOIUrl":"https://doi.org/10.1109/ATIT50783.2020.9349355","url":null,"abstract":"The coherence of a text interprets the thematic connection between the different parts of the text. According to the lack of the unified structure of a text and the necessity to estimate the semantic meaning of its parts, different machine learning methods, namely, deep learning techniques should be used to evaluate the coherence of a text. In this paper, different baseline and state-of-the-art methods of the coherence evaluation based on deep learning paradigms have been analyzed in detail. According to the disability of analyzed methods to take into account both word ordering and long-distant relations within a text, a new Transformer-based neural network model has been proposed. The principle of work and advantages of a self-attention mechanism has been considered. The training of the proposed model has been performed on the corpus of Ukrainian news. In order to estimate the accuracy of the model and to take into account the imbalance of classes, corresponding metrics have been calculated with further detection of an appropriate threshold value of an output. The effectiveness of the model has been examined on the document discrimination and insertion tasks. The results obtained may indicate that the proposed model outperforms baseline methods and can be used to estimate the coherence of both Ukrainian texts and foreign language documents.","PeriodicalId":312916,"journal":{"name":"2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131219941","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: 1

Secure Based Traffic Engineering Model in Softwarized Networks 软件网络中基于安全的流量工程模型

2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT) Pub Date : 2020-11-25 DOI: 10.1109/ATIT50783.2020.9349301

Oleksandr V Lemeshko, Oleksandra Yeremenko, M. Yevdokymenko, A. Shapovalova, T. Radivilova, D. Ageyev

引用次数: 4

Intellectual Fuzzy System Air Pollution Control 智能模糊系统大气污染控制

2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT) Pub Date : 2020-11-25 DOI: 10.1109/ATIT50783.2020.9349334

Y. Kravchenko, O. Leshchenko, N. Dakhno, V. Deinega, H. Shevchenko, Oleksandr Trush

引用次数: 25