{"title":"Information technology of visualization for technological processes for research modes of functioning of complex technological systems","authors":"A. V. Denisenko, A. A. Gurskiy","doi":"10.20535/srit.2308-8893.2021.2.06","DOIUrl":"https://doi.org/10.20535/srit.2308-8893.2021.2.06","url":null,"abstract":"The development of a mathematical model of a technical system based on the means of discrete-continuous networks and taking into account the interaction with a multimedia platform is presented. The efficiency of the process for visualizing the functioning of the complex technical system is increased by implementing the interaction of the modeling environment with the Unity platform in the feedback mode. The experiments linked to the integration of the DC-Net simulation software environment with the Unity cross-platform development environment are implemented. An example of developing the model of a technical system in the DC-Net environment and an example of developing a process for visualizing the functioning of a corresponding technical system based on the Unity platform are presented. The fundamental suitability of using the integration of various information technologies linked with various software environments has been confirmed.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132993516","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}
{"title":"Scenario cognitive modeling of development trends of the complexity system “youth, labor market, quality of life”","authors":"G. Gorelova, A. Saak","doi":"10.20535/SRIT.2308-8893.2021.1.09","DOIUrl":"https://doi.org/10.20535/SRIT.2308-8893.2021.1.09","url":null,"abstract":"Conducting research on the quality of life of young people and the impact on it of such a significant factor as the youth labor market, as well as related research on the problems of state support for young people, require the use of simulation methods due to the incompleteness of information and poorly structured problems of such complex systems as the quality of life of young people and the labor market. The article gives a brief overview of the categories “labor market”, “quality of life”, “youth”, which is necessary to determine the content of cognitive modeling of the complex system “youth, labor market, quality of life”. The technology of cognitive modeling is briefly presented. The results of the application of cognitive simulation modeling to the study of the quality of life of young people in relation to the labor market are presented. An example of modeling is presented in the form of a corresponding cognitive map and a number of scenarios for the possible development of situations on it, which may arise under the assumed influence of various social and economic factors, as well as under the influence of regulatory and control systems.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127707370","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}
A. Dodonov, V. Mukhin, V. Zavgorodnii, Y. Kornaga, A. Zavgorodnya
{"title":"Method of searching for information objects in unified information space","authors":"A. Dodonov, V. Mukhin, V. Zavgorodnii, Y. Kornaga, A. Zavgorodnya","doi":"10.20535/SRIT.2308-8893.2021.1.03","DOIUrl":"https://doi.org/10.20535/SRIT.2308-8893.2021.1.03","url":null,"abstract":"The article discusses the concept and principles of building unified information space and presents a scheme for its formation. The article considers formation of unified information space using a specialized information computer system, which is actually a hardware and software basis for supporting unified information space. The stages of information object identification in unified information space are considered. The article suggests a method for finding missing features of an incoming object by implementing the information objects interaction with each other within unified information space.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130681991","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}
{"title":"Reduction conceptualization of oracle schemes","authors":"I. Redko, P. Yahanov, M. Zylevich","doi":"10.20535/SRIT.2308-8893.2021.1.02","DOIUrl":"https://doi.org/10.20535/SRIT.2308-8893.2021.1.02","url":null,"abstract":"This work is aimed at developing an intersubjective paradigm and an active role of the subject in reduction conceptualization. For this purpose, the general oracular scheme of conceptualization is concretized by the complementarity of composition and decomposition as explications of synthesis and analysis of entities. Pragmatically conditioned enrichment of this complementarity is carried out with the involvement of compositional programming and nominal models of data, functions, and compositions. The oracular scheme of reduction is considered, the meaning of which is that it, based on existing compositions, naturally implements the paradigm of “divide and conquer” in understanding the active role of the subject in conceptualization, supporting the real complementarity of decomposition and compositional methods of conceptualization. Representative examples of reduction conceptualization are shown, which substantiate the technology of solving programming problems.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128330392","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}
{"title":"Data Science — definition and structural representation","authors":"Pavlo Maslianko, Yevhenii P. Sielskyi","doi":"10.20535/SRIT.2308-8893.2021.1.05","DOIUrl":"https://doi.org/10.20535/SRIT.2308-8893.2021.1.05","url":null,"abstract":"This article is a continuation of the discussion on the existing meanings and formalization of the definition of “Data Science” as an autonomous discipline, field of knowledge, clarification of its defining components, integration, and interaction processes between them. It is noted that most scientific results trace the data-centric nature of the presentation and analysis of this discipline, i.e. the emphasis on the word Data. Analysis of the frequency of use of key terms in the definitions of Data Science shows what our colleagues focus on, which terms of the definitions of Data Science they are based on. In this paper, we make and argue certain additions to Drew Conway’s Data Science Venn Diagram, which does not reflect all the resources of the components that define the applied side of Data Science, and, moreover, does not reveal the interaction of these resources not from the point of view of the data researcher, nor in its global understanding. We also propose a unified structural representation of Data Science in the format of an updated Drew Conway’s Venn diagram based on a property/attribute that establishes correspondences that provide integration/interoperability between the elements of the sets of Drew Conway’s Venn diagram. The new definition of Data Science as an interdisciplinary science and methodology of presenting activities for analysis and extraction of data, information, and knowledge is substantiated.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133958606","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}
{"title":"Ontological model for data processing organization in information and communication networks","authors":"L. Globa, Nataliia Gvozdetska, R. Novogrudska","doi":"10.20535/SRIT.2308-8893.2021.1.04","DOIUrl":"https://doi.org/10.20535/SRIT.2308-8893.2021.1.04","url":null,"abstract":"The functioning of modern information and communication networks is impossible without data processing. With the emergence of new network services, the amount of information that needs to be processed increases, while the requirements to the data processing quality become more and more stringent. Therefore, the problem of designing and maintaining a scalable data processing system with a flexible quality of service management is becoming more and more important for a network operator. Such data processing systems have a complex internal structure with many interrelated parameters, which makes them difficult to analyze, manage, and expand. This study proposes to use an ontological model to store, represent, and manipulate the information in the operator’s data processing system. The ontological model allows to structure and systematize the data of an information processing system, and transparently reflects the relationships between the parameters of the system to simplify its analysis and scaling. The proposed ontology of a data processing system consists of three related subsystems. The paper describes the proposed ontological model and additionally analyzes the sources of information that needs to be processed in the information and communication network.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"710 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121992434","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}
{"title":"On some statistics of fractional Brownian motion","authors":"V. Bondarenko","doi":"10.20535/SRIT.2308-8893.2021.1.11","DOIUrl":"https://doi.org/10.20535/SRIT.2308-8893.2021.1.11","url":null,"abstract":"Fractional Brownian motion as a method for estimating the parameters of a stochastic process by variance and one-step increment covariance is proposed and substantiated. The root-mean-square consistency of the constructed estimates has been proven. The obtained results complement and generalize the consequences of limit theorems for fractional Brownian motion, that have been proved in the number of articles. The necessity to estimate the variance is caused by the absence of a base unit of time and the estimation of the covariance allows one to determine the Hurst exponent. The established results let the known limit theorems to be used to construct goodness-of-fit criteria for the hypothesis “the observed time series is a transformation of fractional Brownian motion” and to estimate the error of optimal forecasting for time series.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115418549","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}
{"title":"Models for development of the information-control complex of the enterprise","authors":"V. Volkova, A. Leonova, A. Loginova","doi":"10.20535/SRIT.2308-8893.2021.1.10","DOIUrl":"https://doi.org/10.20535/SRIT.2308-8893.2021.1.10","url":null,"abstract":"This article provides a brief analysis of the development of concepts and terms used in the automation the processes of production and enterprise management. The conclusion is made about the preference of the term “information-control complex” (ICC) of the enterprise and the expediency of using various concepts in its creation. A model for the development of ICC is proposed, based on the definition of a system that implements the system-target approach, and the “engineering” concept.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"291 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132053109","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}
{"title":"Quintile regression based approach for dynamical VaR and CVaR forecasting using metalog distribution","authors":"G. Zrazhevsky, Vira Zrazhevska","doi":"10.20535/SRIT.2308-8893.2021.1.12","DOIUrl":"https://doi.org/10.20535/SRIT.2308-8893.2021.1.12","url":null,"abstract":"The paper proposes a new method of dynamic VaR and CVaR (ES) risk measures forecasting. Quantile linear GARCH model is chosen as the main forecasting model for time series quantiles. To build a forecast, the values of quantiles are approximated by the metalog distribution, which makes it possible to use analytical formulas to evaluate risk measures. The method of VaR and CVaR forecasting is formulated as a step-by-step algorithm. At the first stage, an initial model is built to obtain variance estimates. The predicted variance values obtained from the constructed model are used at the second stage to find the QLGARCH model coefficients by solving the minimization problem. At the third stage, the QLGARCH models are estimated on a non uniform quantile grid. The obtained predicted values of quantiles are used to estimate the approximating metalog distribution. The investigated theory is applied to VaR and CVaR forecasting for time series of daily log return of the DJI index.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125285034","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}
S. Kontseba, R. Lishchuk, S. Skurtol, H. Rodashchuk, I. Vasylchenko
{"title":"Forecasting of agricultural production volumes using methods of data mining","authors":"S. Kontseba, R. Lishchuk, S. Skurtol, H. Rodashchuk, I. Vasylchenko","doi":"10.20535/SRIT.2308-8893.2021.1.07","DOIUrl":"https://doi.org/10.20535/SRIT.2308-8893.2021.1.07","url":null,"abstract":"In this article, the future values of indicators were forecasted for production of grains and legumes on farms in Cherkasy region based on the time series expressed in physical units. Time series analysis as one of the data mining techniques was used during the research in order to make a forecast of production using the data (based on the model of dynamic series) from past years to predict the future production volumes. This method contains the following steps: a graphical analysis (allows you to choose the model equation in the best way), separation and analysis of deterministic components of the series, smoothing and filtering of time series, study of random components, construction and testing for the adequacy of the time series model, forecasting the behavior of the time series based on the conducted research.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125638363","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}