{"title":"Approximation of Systems with Delay and Algorithms for Modeling Their Stability","authors":"I. Cherevko, I. Tuzyk, S. Ilika, A. Pertsov","doi":"10.1109/ACIT52158.2021.9548395","DOIUrl":"https://doi.org/10.1109/ACIT52158.2021.9548395","url":null,"abstract":"In this paper, the schemes of approximation of linear systems with delays by special systems of ordinary differential equations are considered and the connections between their solutions are investigated. Numerical algorithms for studying the stability of linear stationary systems with delay are constructed and their coefficient regions of stability are modeled.","PeriodicalId":412469,"journal":{"name":"2021 11th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115160644","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}
P. Mykhaylov, S. Vyatkin, R. Chekhmestruk, I. Perun, T. Korobeinikova
{"title":"3D Shape Modeling Using Perturbation Functions","authors":"P. Mykhaylov, S. Vyatkin, R. Chekhmestruk, I. Perun, T. Korobeinikova","doi":"10.1109/ACIT52158.2021.9548436","DOIUrl":"https://doi.org/10.1109/ACIT52158.2021.9548436","url":null,"abstract":"The paper describes mathematical methods for setting free forms based on perturbation functions. Basic primitives in the form of quadrics are considered. Complex forms are created using quadrics and perturbation functions using set-theoretic operations (Boolean functions). These three-dimensional objects undergo geometric transformations such as scaling, moving, and rotating, and can be deformed, positioned, and oriented anywhere in three-dimensional space. Solid modeling and 3D modeling for 3D printing are briefly considered.","PeriodicalId":412469,"journal":{"name":"2021 11th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116941946","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}
V. Shvets, N. Mishchuk, Vasil Galan, B. Melnyk, O. Novostavska
{"title":"Information and Methodological Support for Assessment of the Attractiveness of Land Assets of Ukraine","authors":"V. Shvets, N. Mishchuk, Vasil Galan, B. Melnyk, O. Novostavska","doi":"10.1109/ACIT52158.2021.9548476","DOIUrl":"https://doi.org/10.1109/ACIT52158.2021.9548476","url":null,"abstract":"Information and methodological support for an objective assessment of the attractiveness of land assets in Ukraine is a necessary condition for the launch of the land market in July 2021. This provision is necessary for investment and management decisions to harmonize the interests of the Ukrainian people and investors. The study compares the indicators of the retrospective analysis of the valuation of Ukrainian land assets in recent years of the land market with the proposed prices today. At the same time, the study of the possibilities of applying the method of standardization of indicators for the analysis of investment attractiveness of land assets of the regions of Ukraine was continued.","PeriodicalId":412469,"journal":{"name":"2021 11th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116993880","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}
D. Shushpanov, Tetiana Zheliuk, A. Zhukovska, Lina Diakovich, Volodymyr Matsyk, Andrij Kotsur
{"title":"Management of the Health Care System in the Conditions of Population Aging: Information, Analytical and Methodical Dimension","authors":"D. Shushpanov, Tetiana Zheliuk, A. Zhukovska, Lina Diakovich, Volodymyr Matsyk, Andrij Kotsur","doi":"10.1109/ACIT52158.2021.9548634","DOIUrl":"https://doi.org/10.1109/ACIT52158.2021.9548634","url":null,"abstract":"The scientific article evaluates the current areas of health care management in the context of population aging. The peculiarities of population aging in some countries and regions (according to the level of economic development) have been clarified; including among women and men. The main structural reasons that determine the rate of population aging are identified: demographic, social, economic, environmental. The consequences of population aging for Ukrainian society, first of all its impact on the health care system, have been identified. The state of health of elderly people in Ukraine is analyzed and the priority directions of its preservation are substantiated. The methodological principles of calculating the health index and determining the characteristics of population inequality in terms of health from the standpoint of population aging (separately for men and women) are summarized. The main goals of health care development in the context of aging and the COVID-19 pandemic have been identified.","PeriodicalId":412469,"journal":{"name":"2021 11th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124873669","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":"A Survey of Machine Learning Methods and Applications in Electronic Design Automation","authors":"Vladyslav Hamolia, V. Melnyk","doi":"10.1109/ACIT52158.2021.9548117","DOIUrl":"https://doi.org/10.1109/ACIT52158.2021.9548117","url":null,"abstract":"Over the past decades, the domain of electronic circuits design continues transitioning to wider usage of the automation tools to overcome the human level limitations, where integrated circuits (IC) were designed by hand and manually arranged. Experts in the electronic design automation (EDA) industry agree that most of the Application-Specific Integrated Circuit (ASIC) and Field-Programmable Gate Arrays (FPGA) designers will turn to high-level automated design methodologies soon. The main reason for this is the technology improvements that have taken place in the EDA tools, hardware, and software. In the past couple of years, Machine Learning (ML) achievements for EDA turned into a separate field with new studies and methods that enclose all the phases in the chip design flow, such as logic synthesis, design space reduction, exploration, placement, and routing. The latest ML-build approaches have shown considerable improvements in contrast to established traditional methods. This paper covers the newest ML algorithms in FPGA device design, emphasizing the recent research benchmarks’ realizations.","PeriodicalId":412469,"journal":{"name":"2021 11th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126933706","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":"Fuzzy Logic Framework for Assesing and Choising of Etreprise Strategies","authors":"V. Balan, I. Tymchenko","doi":"10.1109/ACIT52158.2021.9548473","DOIUrl":"https://doi.org/10.1109/ACIT52158.2021.9548473","url":null,"abstract":"The article proposes a framework for developing a Decision Support System (DSS) for evaluating and selecting alternative enterprise strategies based on expert assessments using fuzzy logic and a modification of the classical Quantitative Strategic Planning Matrix (QSPM). In addition to the traditional QSPM criteria, it is proposed to consider the potential ability to achieve specific strategic goals. The developed framework contains five blocks, each obtaining expert linguistic estimates in a particular term-set with their subsequent transformation into fuzzy numbers with triangular membership functions. The aggregating fuzzy forecast is carried out using fuzzy knowledge bases and logical rules based on the Mamdani Fuzzy Inference System. The rating of strategic alternatives is carried out based on defuzzified values of the obtained integral fuzzy estimates. This framework is designed to facilitate identifying the list of the most \"attractive\" (priority) enterprise strategies and expands the capabilities of traditional methods of strategic assessment.","PeriodicalId":412469,"journal":{"name":"2021 11th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"186 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115112280","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":"Improving Image Tracing with Artificial Intelligence","authors":"Andreas Fischer, Manuel Amesberger","doi":"10.1109/ACIT52158.2021.9548635","DOIUrl":"https://doi.org/10.1109/ACIT52158.2021.9548635","url":null,"abstract":"Image tracing describes the task to convert a raster image into a vector format. This paper investigates whether dimensionality reduction techniques can improve the results of image tracing by producing simpler vector graphic files while keeping image quality reasonably high. In particular, an Autoencoding Neural Network and Principal Component Analysis are investigated as pre-processing steps before performing the actual tracing. Results indicate that using an Autoencoder as pre-processing step before image tracing can reduce SVG file complexity by over 70% with acceptable impact on image quality.","PeriodicalId":412469,"journal":{"name":"2021 11th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116429404","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":"Information Technology Model for Customer Relationship Management of Nonbank Lenders: Coupling Profitability and Risk","authors":"A. Kaminskyi, M. Nehrey","doi":"10.1109/ACIT52158.2021.9548581","DOIUrl":"https://doi.org/10.1109/ACIT52158.2021.9548581","url":null,"abstract":"Nonbank lenders demonstrate upward trends of development. Mainly it is due to fintech growth and a high level of adaptability to customer`s needs and preferences. One of the actual channelings for such development is elaborating on customer relationship management. Significant credit portfolios are the background for this. The analysis of credit portfolios indicates great differences in borrower’s profitability as in borrower`s risk. The idea of this paper lies in constructing a methodological way for borrowers clustering and constructing the design of an information technology model which applies to customer relationship management. The starting point of the proposed way is grouping borrowers based on Stobachoff curves. Following that to create clusters by K-means and fuzzy approaches through adding some characteristic of the borrower. The lending strategy corresponds to each cluster. Considering that changes in borrower status and payments are very dynamic we propose the design of an IT model, which in automatic mode form a lending strategy to concreate borrower. Such an approach is applied to customer relationship management.","PeriodicalId":412469,"journal":{"name":"2021 11th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116462374","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}
O. Karyy, I. Kulyniak, N. Struchok, L. Halkiv, S. Ohinok
{"title":"Evaluation of the Tourist Attractiveness of Ukraine’s Regions in the Conditions of Uncertainty Using Game Theory","authors":"O. Karyy, I. Kulyniak, N. Struchok, L. Halkiv, S. Ohinok","doi":"10.1109/ACIT52158.2021.9548360","DOIUrl":"https://doi.org/10.1109/ACIT52158.2021.9548360","url":null,"abstract":"The tourist attractiveness of Ukraine’s regions in the conditions of uncertainty is evaluated from the standpoint of two groups of tourist activity entities: legal entities and sole proprietors using the mathematical apparatus of game theory. The regions of Ukraine are grouped according to the level of riskiness of the entities’ tourist activity in 2019.","PeriodicalId":412469,"journal":{"name":"2021 11th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121841673","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}
Yelena Trofimova, Jan Fesl, Alexandru Mihnea Moucha
{"title":"Performance Analysis of Neural Network Approach for Evaluation of Trust in Ad-Hoc Networks","authors":"Yelena Trofimova, Jan Fesl, Alexandru Mihnea Moucha","doi":"10.1109/ACIT52158.2021.9548546","DOIUrl":"https://doi.org/10.1109/ACIT52158.2021.9548546","url":null,"abstract":"With the world becoming more mobile and dynamic each year, the application of ad-hoc networks has broadened. Ad-hoc networks do not have a predefined infrastructure; each node serves as a router, bringing security challenges. Trust and trustworthiness mechanisms are among the most common methods for ensuring security in an ad-hoc network. In [1], we proposed a method for the evaluation of trust in ad-hoc networks. This paper aims to describe the method formally and analyze its performance. The original paper showed that neural networks could do trust estimation with an average 98% accuracy of the classification and 94% of the regression problem. This paper aims to investigate the capabilities of our method under malicious conditions. The analysis could also provide insight for tuning trust parameters, such as the threshold of trust. Furthermore, this paper presents a mathematical model behind the problem to show that the neural network approach is reasonable.","PeriodicalId":412469,"journal":{"name":"2021 11th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129034748","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}