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Model Building for Diagnostic Variables during Aviation Equipment Maintenance 航空设备维修过程中诊断变量的模型建立
2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT) Pub Date : 2022-11-10 DOI: 10.1109/CSIT56902.2022.10000556
M. Zaliskyi, O. Solomentsev, V. Larin, Y. Averyanova, N. Kuzmenko, I. Ostroumov, O. Sushchenko, Y. Bezkorovainyi
{"title":"Model Building for Diagnostic Variables during Aviation Equipment Maintenance","authors":"M. Zaliskyi, O. Solomentsev, V. Larin, Y. Averyanova, N. Kuzmenko, I. Ostroumov, O. Sushchenko, Y. Bezkorovainyi","doi":"10.1109/CSIT56902.2022.10000556","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000556","url":null,"abstract":"Mathematical model building gives the possibility to recognize mathematical dependence for different parameters of actual phenomena. The model building in aviation plays a significant role, because it directly effects on safety of flights. Such procedure in aviation is implemented in the operation and maintenance system. The aim of operation system is to increase the efficiency of intended use of equipment based on the organization of decision-making support using results of statistical data processing. The data source is aviation equipment. There are two types of observed data during equipment condition monitoring: reliability parameters and diagnostic variables. This paper presents an approach of mathematical model building for diagnostic variables using segmented regression with optimization of breakpoint abscissa.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114941695","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: 9
Integration of Building Information Modeling and Artificial Intelligence Systems to Create a Digital Twin of the Construction Site 集成建筑信息模型和人工智能系统，创建建筑工地的数字孪生
2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT) Pub Date : 2022-11-10 DOI: 10.1109/CSIT56902.2022.10000717
Denys Chernyshev, S. Dolhopolov, T. Honcharenko, Halyna Haman, Tetiana Ivanova, Myroslava Zinchenko
{"title":"Integration of Building Information Modeling and Artificial Intelligence Systems to Create a Digital Twin of the Construction Site","authors":"Denys Chernyshev, S. Dolhopolov, T. Honcharenko, Halyna Haman, Tetiana Ivanova, Myroslava Zinchenko","doi":"10.1109/CSIT56902.2022.10000717","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000717","url":null,"abstract":"This study is devoted to the development of an information system for creating digital twins of construction sites by integrating Building Information Modeling (BIM) technologies and artificial intelligence systems. An artificial intelligence system has been developed that combines the Convolutional Neural Network (CNN) named “You Only Look Once” v3 (YOLOv3) and Feed-Forward Neural Network (FFNN) architectures as a comprehensive mechanism for detecting, classifying, and evaluating individual components, objects, systems and processes of the construction project at all stages of its life cycle. The article describes the inclusion of the Internet of Things (IoT) and Big Data Technologies for recognizing the physical representation of the large-scale array of construction objects used on a construction site in real-time. The effectiveness of identifying the correspondence of a set of BIM-model attributes that provide the circumstances for creating a digital twin of the construction site is determined. The reliability of object recognition by the YOLOv3 model is proved, which is confirmed by the map indicator – 90.04%, which additionally correlates the FFNN model with attributes of the reference BIM model. The results of this study can be used to further improve the concept of developing digital twins using other relevant and key components of the construction project and the latest information technologies.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116619223","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
War Implications in the Reddit News Feed: Semantic Analysis Reddit新闻Feed中的战争含义:语义分析
2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT) Pub Date : 2022-11-10 DOI: 10.1109/CSIT56902.2022.10000515
S. Albota
{"title":"War Implications in the Reddit News Feed: Semantic Analysis","authors":"S. Albota","doi":"10.1109/CSIT56902.2022.10000515","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000515","url":null,"abstract":"Social and linguistic representation of Russian-Ukrainian war and its world implications (how war processes affected the globe in general) has been considered in the paper. The Reddit news feed of War in Ukraine Megathread rubric with its extended comments has been chosen to be the source of this article. Thorough semantic analysis of the variety of Reddit comments has been conducted. Linguistic interpretation of each comment has been followed with identifying their implicit or explicit linguistic markers denoting textual semantic and psychological features of war perception. A new set of text analysis tools (LIWC-22) has been applied to precisely evaluate the linguistically analyzed material and represent it in an approapriate statistical way. The comparison of statistical data of the Reddit social community with other social platforms has been performed.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130975747","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: 4
Multibiometric Identification of Computer Network Users in the Distance Learning Process 远程学习过程中计算机网络用户的多生物特征识别
2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT) Pub Date : 2022-11-10 DOI: 10.1109/CSIT56902.2022.10000472
Tetiana Kovaliuk, Nataliya Kobets, Anastasia Shevchenko, N. Kunanets
{"title":"Multibiometric Identification of Computer Network Users in the Distance Learning Process","authors":"Tetiana Kovaliuk, Nataliya Kobets, Anastasia Shevchenko, N. Kunanets","doi":"10.1109/CSIT56902.2022.10000472","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000472","url":null,"abstract":"The article considers the multibiometric identification of a student to improve the quality and minimize errors in the process of his identification using voice and visual biometric features. Sound processing methods, models of neural networks and Gaussian mixtures for identifying a student by voice signs, and methods of visual identification of a person by video stream and photographs were studied. A software system has been developed for recognizing and indexing people on video while identifying a person by voice signs to use in the educational process to account for students attending remote classes. The system provides for the extraction of acoustic characteristics from a recording of a human language and the subsequent assignment of the obtained data to one of the specified classes (speakers). A multilayer neural network (MNN) was used as a classifier. The classifier was trained on a data set of 43832 audio files from 108 speakers. MHC on the test sample showed an accuracy of 91%. At the stage of processing the video stream frames, a face was detected in the frame, and the detected face was recognized. Face recognition in the system was based on the search for the most appropriate template of basic images stored in the database.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132873113","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 Method of Substantiating the Configuration of Technical Resources in Walnut Harvesting Projects 核桃采收项目技术资源配置的具体化方法
2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT) Pub Date : 2022-11-10 DOI: 10.1109/CSIT56902.2022.10000573
A. Tryhuba, S. Krupych, O. Krupych, Ivan Horodetskyy
{"title":"The Method of Substantiating the Configuration of Technical Resources in Walnut Harvesting Projects","authors":"A. Tryhuba, S. Krupych, O. Krupych, Ivan Horodetskyy","doi":"10.1109/CSIT56902.2022.10000573","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000573","url":null,"abstract":"The method of substantiation of the technical resources rational configuration for walnut harvesting projects has been worked out. The proposed method is based on systematic analysis and synthesis of relevant technologies and technical means or machinery available on the market. The walnut harvesting consists of three compound operations surface preparation between rows (mowing of the weed grass stand), shaking, and walnut fruit picking up, for each of which there are six, four, and five characteristic variants of technological complexes accordingly. Estimation of specific values of labor intensity of works in the walnut harvesting projects and mass of the technical means for the harvesting allowed establishing a correlation amongst them. Energy assessment of variants of the technical resources configuration for walnut harvesting projects in the conditions of the Western forest-steppe zone of Ukraine was performed. It was stated the M(3) variant is rational for machine harvesting operations with energy costs of 29,684 MJ/ha. Results of studthe y indicate that the choice of an effective variant of technical means complexes for walnut harvesting projects depends oonthe production conditions of walnuts growing, the work content, and the technologies.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132978579","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
Investigating Methods of Input Data Preparation for Person Identification Information Technology 身份识别信息技术输入数据准备方法研究
2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT) Pub Date : 2022-11-10 DOI: 10.1109/CSIT56902.2022.10000539
K. Merkulova, Y. Zhabska
{"title":"Investigating Methods of Input Data Preparation for Person Identification Information Technology","authors":"K. Merkulova, Y. Zhabska","doi":"10.1109/CSIT56902.2022.10000539","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000539","url":null,"abstract":"This paper describes the investigation of image preprocessing methods that can be used for preparation of input image data for the algorithm underlying in person identification information technology. Experiments were performed on Python software with developed methods of anisotropic diffusion and image histogram equalization, separately and simultaneously applied, on three sets of images from different databases. As a result, method of image histogram equalization in most experiment cases did not improved the identification accuracy rate of the algorithm. For image from SCface database the identification accuracy rate is stably equal to 92.5%. However, on the images from the Database of Faces the promising result was obtained, that improved algorithm performance on 5%.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127739299","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
Recognition of violations of individual labor protection rules using a convolutional neural network 使用卷积神经网络识别违反个人劳动保护规则的行为
2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT) Pub Date : 2022-11-10 DOI: 10.1109/CSIT56902.2022.10000582
Olha Pronina, O. Piatykop
{"title":"Recognition of violations of individual labor protection rules using a convolutional neural network","authors":"Olha Pronina, O. Piatykop","doi":"10.1109/CSIT56902.2022.10000582","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000582","url":null,"abstract":"The article addresses the problem of effective detection of violations of labor protection rules at the workplace by employees using modern information technologies. To solve the problem of violation detection, an approach was chosen that uses object recognition using convolutional neural networks. The article describes experiments to determine the training parameters of a convolutional neural network model and determine the minimum image quality for sufficient recognition of violations of labor protection rules. Based on the results of the experiments, we can conclude that the use of convolutional neural networks successfully solves the problem of identifying violations of labor protection rules.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127740583","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
Using Artificial Intelligence Algorithms in Advertising 在广告中使用人工智能算法
2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT) Pub Date : 2022-11-10 DOI: 10.1109/CSIT56902.2022.10000819
N. Boyko, Yuliia Kholodetska
{"title":"Using Artificial Intelligence Algorithms in Advertising","authors":"N. Boyko, Yuliia Kholodetska","doi":"10.1109/CSIT56902.2022.10000819","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000819","url":null,"abstract":"To anazyle and investigate the use of Artificial Intelligence (AI) in advertising and marketing, it is necessary to understand precisely how the process of creating advertising occurs, and what technologies are used for this. This work will consider the structure of AI algorithms implemented in advertising, as well as how they affect the increased profitability of campaign investments, better relations with clients and personalization in full-time mode, widespread marketing campaigns, the possibility of faster implementation.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127946325","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
The Quantitative Parameters in Computer-Assisted Approach: Author’s Lexical Choices in the Novels by Martin Amis 计算机辅助方法中的定量参数:马丁·艾米斯小说中作者的词汇选择
2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT) Pub Date : 2022-11-10 DOI: 10.1109/CSIT56902.2022.10000504
O. Melnychuk, N. Bondarchuk, I. Bekhta, Olena Levchenko, N. Yesypenko, N. Hrytsiv
{"title":"The Quantitative Parameters in Computer-Assisted Approach: Author’s Lexical Choices in the Novels by Martin Amis","authors":"O. Melnychuk, N. Bondarchuk, I. Bekhta, Olena Levchenko, N. Yesypenko, N. Hrytsiv","doi":"10.1109/CSIT56902.2022.10000504","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000504","url":null,"abstract":"The article aims to determine and analyze the quantitative parameters in terms of absolute word frequency, relative word frequency, and rank in novels by M. Amis: “London fields” “Night train” “Other people: a mystery story” and “Success”, which expose lexical choices of the author. Quantitative text analysis as part of computational data processing is supported and accessed through the web browser tool – Voyant, which generates quantitative parameters grounded on the most frequent textual elements (words) in corpora. The most frequent words in general corpora are further analyzed due to their frequencies and rank in each corpus and textual segments. The researched quantitative parameters form the ground for perspective textual semantic analysis.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117260757","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
Wavelet-Based Estimation of Hurst Exponent Using Neural Network 基于神经网络的Hurst指数小波估计
2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT) Pub Date : 2022-11-10 DOI: 10.1109/CSIT56902.2022.10000906
Lyudmyla Kirichenko, Kyrylo Pavlenko, Daryna Khatsko
{"title":"Wavelet-Based Estimation of Hurst Exponent Using Neural Network","authors":"Lyudmyla Kirichenko, Kyrylo Pavlenko, Daryna Khatsko","doi":"10.1109/CSIT56902.2022.10000906","DOIUrl":"https://doi.org/10.1109/CSIT56902.2022.10000906","url":null,"abstract":"The paper proposes a method for estimating the Hurst exponent of time realizations using a regression neural network. The basis was the wavelet estimation method using a discrete wavelet transform. Wavelet energy spectra of fractional Brownian motion realizations were fed to the input of the neural network. The results showed that the accuracy of the Hurst exponent estimation, performed using a neural network, is ten times higher than the accuracy of statistical wavelet-based estimation.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123630680","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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