Кафедра машин і апаратів, електромеханічних та енергетичних систем

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https://elar.khmnu.edu.ua/handle/123456789/576

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Перегляд Кафедра машин і апаратів, електромеханічних та енергетичних систем за Автор "Onofriichuk, Volodymyr"

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  • Ескіз
    Документ
    Analysis of methods of printing images on textile materials and evaluation of their quality
    (Slovak University of Technology in Bratislava, Faculty of Chemical and Food Technology, 2021-06) Prybeha, Dmytro; Koshevko, Julia; Smutko, Svitlana; Onofriichuk, Volodymyr; Skyba, Mykola; Synyuk, Oleg; Kuleshova, Svetlana; Pidhaichuk, Svitlana; Zlotenko, Borys
    The peculiarities of the methods of printing images on textile materials are analyzed; the research of the criteria for choosing the method of printing is performed. The list of criteria is supplemented and presented in a form convenient for use in the analysis and selection of the method of printing images on textile materials in each case. The method of calculating the cost of a batch of products for each of the methods of printing the image is given. The results obtained, according to this method, make it possible to make an economic assessment of each of the printing methods and decide on the appropriateness of their use. In the course of experimental research the degrees of resistance of the images put by various methods of printing to friction and in the process of washing were established. The application of the results of this study will allow a qualitative and effective assessment of methods of printing images on textile materials depending on the production conditions for each type of product.
  • Ескіз
    Документ
    Improved algorithm for selecting informative features with their paired accounting in the problems of recognizing the complex systems states
    (2021-04-30) Osypenko, Volodymyr; Zlotenko, Borys; Kulik, Tetiana; Demishonkova, Svitlana; Synyuk, Oleh; Onofriichuk, Volodymyr; Smutko, Svitlana; Осипенко, Володимир; Злотенко, Борис; Кулик, Тетяна; Демішонкова, Світлана; Синюк, Олег; Онофрійчук, Володимир; Смутко, Світлана
    The problem of computer diagnostics of complex systems is one of the non-trivial tasks of modern information technology. Such systems are, for example, computer networks, automatic and/or automated control systems for complex technological objects, including related to complex problems of environmental protection, biology, etc. In pattern recognition, one of the major problems is forming subspaces of informative features, which only in the «ensemble» allow diagnosing the states of such systems with a high degree of reliability. An effective approach to solving this problem based on the principles of inductive modeling of complex systems is proposed. The quality criterion for recognizing classes of patterns is formulated, which also makes it possible to evaluate the quality of the constructed ensemble of informative features. As an example, the problem of constructing an ensemble of informative features represented by a binary code based on the data of an experiment to determine the hazard levels of some plant protection products is considered. Real primary data on plant protection products used in practice were applied to recognize the effect of certain characteristics on the so-called integrated «hazard indicator». Comparative numerical estimates of the effectiveness of the proposed approach are given. In this case, there can be a fivefold gain in the amount of computations for a relatively small number of input features equal to 5 compared to the known algorithms of the class considered in the paper. It is shown that, from a practical point of view, the described algorithm has advantages over the known algorithms with brute-force search of feature subspaces in pattern recognition problems