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Abstract

Assessment of seismic vulnerability of urban infrastructure is an actual problem, since the damage caused by earthquakes is quite significant. Despite the complexity of such tasks, today’s machine learning methods allow the use of “fast” methods for assessing seismic vulnerability. The article proposes a methodology for assessing the characteristics of typical urban objects that affect their seismic resistance; using classification and clustering methods. For the analysis, we use kmeans and hkmeans clustering methods, where the Euclidean distance is used as a measure of proximity. The optimal number of clusters is determined using the Elbow method. A decision-making model on the seismic resistance of an urban object is presented, also the most important variables that have the greatest impact on the seismic resistance of an urban object are identified. The study shows that the results of clustering coincide with expert estimates, and the characteristic of typical urban objects can be determined as a result of data modeling using clustering algorithms.
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Bibliography

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Authors and Affiliations

Waldemar Wójcik
1
Markhaba Karmenova
2
Saule Smailova
2
Aizhan Tlebaldinova
3
Alisher Belbeubaev
4

  1. Lublin Technical University, Poland
  2. D. Serikbayev East Kazakhstan State Technical University, Kazakhstan
  3. S. Amanzholov East Kazakhstan State University, Kazakhstan
  4. Cukurova University, Turkey
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Abstract

The possibility and expediency of estimation of risk factors based on fundamental positions of information and entropy are grounded. In accordance with the principle of addiction, the possibility of using the H-criterion as an indicator of business uncertainty is shown. The algorithm of risk estimation of these investments is offered.
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Authors and Affiliations

Nataliia B. Savina
1
Nina V. Slyusarenko
2
Maryna S. Yakobchuk
1
Konrad Gromaszek
3
Saule Smailova
4
Kuanysh Muslimov
5

  1. National University of Water and Environmental Engineering, Rivne, Ukraine
  2. Kherson State University, Ukraine
  3. Lublin University of Technology, Lublin, Poland
  4. East Kazakhstan State Technical University named after D.Serikbayev, Ust-Kamenogorsk, Kazakhstan
  5. Kazakh National Research Technical University named after K.I.Satpayev, Almaty, Kazakhstan
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Abstract

As the delivery of good quality software in time is a very important part of the software development process, it's a very important task to organize this process very accurately. For this, a new method of the searching associative rules were proposed. It is based on the classification of all tasks on three different groups, depending on their difficulty, and after this, searching associative rules among them, which will help to define the time necessary to perform a specific task by the specific developer.

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Authors and Affiliations

Tamara O. Savchuk
Natalia V. Pryimak
Nina V. Slyusarenko
Andrzej Smolarz
Saule Smailova
Yedilkhan Amirgaliyev
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Abstract

In the article, a device for measuring the parameters of the rotational movement of the auger for dewatering solid waste is proposed based on the analysis of signal processing methods and measurement of physical quantities. It can be used in the development of high-performance special vehicles for transporting waste as the main link in the structure of machines for the collection and primary processing of solid waste. The structural scheme of the means and block diagram of the microcontroller control program algorithm for implementation of the device for measuring the parameters of the rotational motion are proposed. The main technical characteristics of the proposed means are given. The results of experimental tests for measuring the parameters of rotational motion are shown. The results of experimental studies, which are given in the work, confirmed the reliability of the measured parameters.
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Authors and Affiliations

Waldemar Wójcik
1
Oleh V. Bereziuk
2
Mykhailo S. Lemeshev
2
Volodymyr V. Bohachuk
2
Leonid K. Polishchuk
2
Oksana Bezsmertna
2
Saule Smailova
3
Saule Kurmagazhanova
3

  1. Lublin University of Technology, Poland
  2. Vinnytsya National Technical University, Ukraine
  3. D. Serikbayev East Kazakhstan Technical University
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Abstract

The information technologies for assessing the quality of IT-specialties graduates' training of university by means of fuzzy logic and neural networks are developed in the article. It makes possible taking into account a wide set of estimation and output parameters, influence of the external and internal factors and allows to simplify the assessing process by means of modern mathematical apparatuses of artificial intelligence.

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Authors and Affiliations

Anzhelika O. Azarova
Larysa E. Azarova
Sergii V. Pavlov
Nataliia B. Savina
Iryna S. Kaplun
Waldemar Wójcik
Saule Smailova
Aliya Kalizhanova

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