Вісники НТУ "ХПІ"
Постійне посилання на розділhttps://repository.kpi.kharkov.ua/handle/KhPI-Press/2494
З 1961 р. у ХПІ видається збірник наукових праць "Вісник Харківського політехнічного інституту".
Згідно до наказу ректора № 158-1 від 07.05.2001 року "Про упорядкування видання вісника НТУ "ХПІ", збірник був перейменований у Вісник Національного Технічного Університету "ХПІ".
Вісник Національного технічного університету "Харківський політехнічний інститут" включено до переліку спеціалізованих видань ВАК України і виходить по серіях, що відображають наукові напрямки діяльності вчених університету та потенційних здобувачів вчених ступенів та звань.
Зараз налічується 30 діючих тематичних редколегій. Вісник друкує статті як співробітників НТУ "ХПІ", так і статті авторів інших наукових закладів України та зарубіжжя, які представлені у даному розділі.
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Документ Project team management model under risk conditions(Національний технічний університет "Харківський політехнічний інститут", 2023) Rohovyi, Mykyta Antonovych; Grinchenko, Marina AnatoliyvnaThe paper examines the state of the problem of the influence of risks on the project team's work process. The processes of the team's work during the implementation of the project sprint are defined. The authors identified risk factors that affect the effectiveness of the project team. An analysis of modern approaches was carried out and three directions were identified, which represent the research of project team management processes under conditions of risk. A comprehensive reference model of project team management under risk conditions is proposed in the form of a framework. It reflects the interrelationship of four models: the project team behavior model, the model for assessing the quality of the formation of sprint tasks, the model for determining the distribution of tasks in the project team, and the model for the formation of recommendations. The project team evaluates the text description of the task, obtained from the information system, using the sprint task formation quality assessment model. Natural language processing methods are used to create a model for evaluating the quality of forming sprint tasks, which combine the method of processing text information and the method of learning based on precedents, which allows taking into account the previous experience of the team and its behavior. The project team behavior model allows taking into account the risks of irrational work organization during the sprint. The behavior of the project team is analyzed using Process Mining methods. The case representation model allows the project team to store and reuse knowledge and experience based on simulation modeling and reinforcement learning approaches. It allows the team to determine and evaluate possible options for the distribution of tasks and resources in the team in accordance with the reduction of possible risks. The central element of the proposed framework is the model of recommendations used in decision-making. It provides the project team with the necessary information for effective decision-making in terms of risks in project management. The proposed framework provides an opportunity to reduce the impact of the risks of non-fulfillment of project tasks during the sprint. Further studies of the task of managing the project team under conditions of risk should be directed to the development of specified models of the proposed framework.Документ Digitalization in small business for women entrepreneurs in Ukraine(Національний технічний університет "Харківський політехнічний інститут", 2021) Kolarov, Kostadin Goranov; Kononenko, Igor Volodymyrovich; Grinchenko, Marina Anatoliyvna; Bukrieieva, Karina SergiyivnaFrom September 2020 to April 2022, the “DIGI-WOMEN, digital entrepreneurship tools and support for women entrepreneurs” project is being implemented within the “Erasmus +” program. Project coordinator - is the University of National and World Economy, Sofia, Bulgaria. Project partners are National Technical University “Kharkiv Polytechnic Institute”, Ukraine; Bit-management Beratung Gesmbh, Austria; Baltijas Juras Regiona Klasteru Eksperti, Latvia; Consulenza Direzionale di Paolo Zaramella, Italy; CEPOR Centar za politiku razvoja malih i srednjih poduzeća i poduzetništva, Croatia; Greek Association of Women Entrepreneurs – SEGE, Greece. Project overall objective is to develop a training program that will train experts in order to offer trainings and mentorship sessions that are tailored to the needs of the female entrepreneurs digitalizing their business and help them overcome the obstacles they face in the digitalization. As a result of analyzing the relevance of digitalization in small business for women entrepreneurs in Ukraine the conclusion was made that important areas of digitalization are: search for ideas for business and substantiate these ideas using digital technologies; creation and promotion of business websites; presentation and promotion of business in social networks; implementation of a CRM system at the enterprise. A training program is proposed to prepare experts who will then train women entrepreneurs who run small businesses. The program is designed in such a way that women entrepreneurs have mastered precisely those areas of knowledge that are recognized as the most important in the studies. The program consists of a number of trainings on the following topics: "Training techniques for women entrepreneurs in small business", "Search and Substantiation of Ideas for Business", "Development, deployment, analysis and promotion of the web site ", "Introduction to Social Media Marketing (SMM), "Implementation of digital technologies on the example of the Bitrix24 CRM system".Документ Technology of identifying antipatterns in Android projects written in Kotlin language(Національний технічний університет "Харківський політехнічний інститут", 2020) Malik, Ivan Yuriyovich; Volovshchykov, Valeriy Yuriyovich; Shapo, Vladlen Felixovitch; Grinchenko, Marina AnatoliyvnaThe problem of the lack of instruments for identifying the characteristics of low-quality code in Android projects that are written in the Kotlin language is determined. A review of modern approaches for identifying antipatterns in program code is accomplished. The analysis of the methods used to find problems with code in Android projects is performed. DECOR and Paprika approaches are considered. Conclusions are drawn about the importance of finding design flaws in program code for the mobile software development and its further support. An antipatterns identification approach for Kotlin language program code in Android projects is proposed. An algorithm for identifying low-quality Kotlin code is presented. The technology for detecting poor quality code characteristics consists of four stages: collecting metrics about an analyzed software system, building a quality model, converting a quality model into a graph representation, and identifying predefined antipatterns. The collection of metrics, including the search for both Androidspecific and object-oriented metrics of Chidamber and Kamerer, is proposed to be implemented through parsing source code and converting it into an abstract syntax tree using the KASTree library. The implementation of KASTree library usage is offered through the Adapter design pattern. The construction of a quality model is implemented using the Paprika tool, supplemented by a number of introduced metrics. Conversion of quality model exactly into graph representation is used to identify antipatterns in order to ensure the speed and quality of complex queries execution for identifying antipatterns. Antipatterns identification using database queries is based on various template rules, including the Catolino rules. Different features of applying the Cypher query language to a graph database are used to represent the rules in form of queries. Results of the work can be used in development of software for poor quality code identification in mobile applications written in Kotlin language, as well as in studies of mobile development antipatterns for this language.Документ Synthesis of local area network structure in uncertain conditions of initial information(НТУ "ХПІ", 2019) Mishchenko, Oryna Oleksiivna; Volovshchykov, Valeriy Yuriyovich; Shapo, Vladlen Felixovitch; Grinchenko, Marina AnatoliyvnaThe problem of taking into account the uncertainty of the initial information is identified in the tasks of the structure synthesis of local area networks. The analysis of the factors generating uncertainty is carried out, the sources of uncertainty are singled out and the approac hes to formalization and research of uncertainty are systematized. Probabilistic-statistical, interval, fuzzy and deterministic approaches were reviewed, as well as statistical, subjective, logical interpretations of probability and stochastic description, concept of interval-probabilistic approach, continuously determined and discretely determined models. The formulation of the problem was formed and it was proposed to apply the theory of fuzzy sets to formalize and study an uncertainty in synthesizing the structure of the local computing network, the main elements of which are user points, the centers of processing of the information, switching devices and communication channels. The implementation of information and computing works which sources are subs criber points, is assigned to the centers of information processing. It is assumed the popularity of volumes of information and computing works and geographical coordinates of the location of network elements. A model for a research problem based on a cost criterion has been developed. Cost parameters are divided into well-defined and having an uncertain nature. Fuzzyparameters are proposed to describe the membership functions of the form "approximately equal" or "is approximately in the interval". Restrictions on technical capabilities of information processing centers, switching devices, traffic in communication channels are singled out. The technology of model research based on the idea of solving the problems of linear programming in fuzzy statement is proposed. The technology provides the decision maker with information about the network structure, its cost and the level of ownership of the solution. The results of the work can be used in the analysis of approaches to solving problems of structural-topological synthesis of local area networks, design, development and implementation of appropriate software solutions.