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  • Ескіз
    Документ
    Experimental unit for determining body weight of astronauts and light-weight objects in zero-gravity conditions
    (Національний технічний університет "Харківський політехнічний інститут", 2022) Kolomiitsev, Oleksii; Komarov, Volodymyr; Dmitriiev, Oleh; Pustovarov, Volodymyr Volodymyrovich; Oliinyk, Ruslan
    The transition of an astronaut into zero gravity leads to a certain restructuring of the body, including the redistribution of fluid flows in it. The process of dehydration of the body is stimulated, the astronaut loses weight. Knowledge of the regularities of changes in an astronaut's body weight, keeping it within normal limits thanks to a rational load distribution, rest, physical exercises, and a well-thought-out diet are extremely necessary in order to provide the astronaut with the most favorable conditions for adaptation in zero gravity, as well as to better prepare him for his return to Earth. Returning materials for scientific research and experiments, as well as equipment, from the space station to Earth also requires high-precision determination of the low weight of objects. The object of the research is an experimental unit that allows measuring the weight (parameters) of the astronaut’s body and the small weight of objects (equipment, devices, etc.) that oscillate. The subject of research is the frequency of natural oscillations of the dynamic system. The purpose of scientific work is the development of an experimental unit for determining the weight of the astronaut’s body and the low weight of objects in zero gravity. Conclusions. An experimental setup for determining the body weight of astronauts and the low weight of objects (control objects – СО) in zero gravity is proposed. For high-precision determination of the weight of the СО in zero gravity, the natural frequency (NF) was chosen as a diagnostic parameter. In the experimental installation, the weight of the OC is determined by changing the NF of the dynamic system "control object – moving anchor" depending on the attached weight of the СO. The essence of the work of the experimental unit is revealed, and its general appearance and structural scheme are presented.
  • Ескіз
    Документ
    Topic segmentation methods comparison on computer science texts
    (Національний технічний університет "Харківський політехнічний інститут", 2021) Sokol, Volodymyr Yevhenovych; Krykun, Vitalii Oleksandrovich; Bilova, Mariia Oleksiivna; Perepelytsya, Ivan Dmytrovich; Pustovarov, Volodymyr Volodymyrovich
    The demand for the creation of information systems that simplifies and accelerates work has greatly increased in the context of the rapid informatization of society and all its branches. It provokes the emergence of more and more companies involved in the development of software products and information systems in general. In order to ensure the systematization, processing and use of this knowledge, knowledge management systems are used. One of the main tasks of IT companies is continuous training of personnel. This requires export of the content from the company's knowledge management system to the learning management system. The main goal of the research is to choose an algorithm that allows solving the problem of marking up the text of articles close to those used in knowledge management systems of IT companies. To achieve this goal, it is necessary to compare various topic segmentation methods on a dataset with a computer science texts. Inspec is one such dataset used for keyword ext raction and in this research it has been adapted to the structure of the datasets used for the topic segmentation problem. The TextTi ling and TextSeg methods were used for comparison on some well-known data science metrics and specific metrics that relate to the topic segmentation problem. A new generalized metric was also introduced to compare the results for the topic segmentation problem. All software implementations of the algorithms were written in Python programming language and represent a set of interrelated functions. Results were obtained showing the advantages of the Text Seg method in comparison with TextTiling when compared using classical data science metrics and special metrics developed for the topic segmentation task. From all the metrics, including the introduced one it can be concluded that the TextSeg algorithm performs better than the TextTiling algorithm on the adapted Inspec test data set.
  • Ескіз
    Документ
    Construction of information technology for development of knowledge base on identification of urban structures on digital space and aerial photographs in the urban environment monitoring
    (Національний технічний університет "Харківський політехнічний інститут", 2020) Pustovarov, Volodymyr Volodymyrovich
    The efficiency and quality of modern city management are directly linked to the relevant monitoring. Improving the efficiency and validity of the obtained data on the urban environment is possible due to the automation of the system of urban objects identification on digital space and aerial photographs, which involves determining their changes. Therefore, a knowledge base (data), which consists of a set of rules, facts, an inference mechanism that can be implemented through the use of deep neural network or hybrid (fuzzy neural network) models, is therefore needed. This academic paper proposes the technology of formal presentation of the information technology construction for the development of a knowledge base on the identification of urban structures on digital space and aerial photographs in automated monitoring of the urban environment. The developed technology identifies an interdependentset of phases, with the possibility of further parallelization of sub-stages, taking into account the peculiarities of knowledge representation (formalization) on the identification of urban structures on digital space and aerial photographs in automated monitoring of the urban environment.