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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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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 article is devoted to some critical problems of using Bayesian networks for solving practical problems, in which graph models contain directed cycles. The strict requirement of the acyclicity of the directed graph representing the Bayesian network does not allow to efficiently solve most of the problems that contain directed cycles. The modern theory of Bayesian networks prohibits the use of directed cycles. The requirement of acyclicity of the graph can significantly simplify the general theory of Bayesian networks, significantly simplify the development of algorithms and their implementation in program code for calculations in Bayesian networks..
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Bibliography

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Authors and Affiliations

Assem Shayakhmetova
1 2
Natalya Litvinenko
3
Orken Mamyrbayev
1
Waldemar Wójcik
4 5
Dusmat Zhamangarin
6

  1. Institute of Information and Computational Technology, 050010 Almaty, Kazakhstan
  2. Al-Farabi Kazakh National University, Almaty, Kazakhstan
  3. Information and Computational Technology, 050010 Almaty, Kazakhstan
  4. Institute of Information and Computational Technologies CS MES RK, Almaty
  5. Lublin Technical University, Poland
  6. Kazakh University Ways of Communications, Kazakhstan
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Abstract

This paper investigates the possibility of automatically linearizing nonlinear models. Constructing a linearised model for a nonlinear system is quite labor-intensive and practically unrealistic when the dimension is greater than 3. Therefore, it is important to automate the process of linearisation of the original nonlinear model. Based on the application of computer algebra, a constructive algorithm for the linearisation of a system of non-linear ordinary differential equations was developed. A software was developed on MatLab. The effectiveness of the proposed algorithm has been demonstrated on applied problems: an unmanned aerial vehicle dynamics model and a twolink robot model. The obtained linearized models were then used to test the stability of the original models. In order to account for possible inaccuracies in the measurements of the technical parameters of the model, an interval linearized model is adopted. For such a model, the procedure for constructing the corresponding interval characteristic polynomial and the corresponding Hurwitz matrix is automated. On the basis of the analysis of the properties of the main minors of the Hurwitz matrix, the stability of the studied system was analyzed.
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Authors and Affiliations

Aigerim Mazakova
3
Sholpan Jomartova
3
Waldemar Wójcik
2
Talgat Mazakov
1
Gulzat Ziyatbekova
1

  1. Institute of Information and Computational Technologies CS MES RK, Al-Farabi Kazakh National University, Kazakhstan
  2. Lublin Technical University, Poland
  3. Al-Farabi Kazakh NationalUniversity, Kazakhstan
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Abstract

On the basis of a unipolar corona discharge, a method of non-contact and continuous measurement of linear parameters of thin and ultra-thin dielectric fibres and optical fibres (10 to 125 microns) in the process of their manufacture was developed. The measurement method differs from the commonly known methods by high accuracy and reliability of measurement and resistance to changes in the electrical characteristics of the discharge gap and the state of ambient air.
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Authors and Affiliations

Aliya S. Tergeussizova
1
Shabden A. Bakhtaev
2
Waldemar Wojcik
3
Ryszard Romaniuk
4
Bekmurza H. Aitchanov
5
Gulzada D. Mussapirova
2
Aynur Zh. Toygozhinova
6

  1. Kazakh National University named after al-Farabi, Almaty, Kazakhstan
  2. Almaty University of Power Engineering and Telecommunications, Almaty, Kazakhstan
  3. Lublin Technical University, Poland
  4. Warsaw University of Technology, Poland
  5. Suleyman Demirel University, Almaty, Kazakhstan
  6. Kazakh Academy of Transport and Communications named after M.Tynyshpayev, Almaty, Kazakhstan
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Abstract

The article herein presents a new technique of controlling the system of collecting, storing and processing the information from the solar collectors, which might be applied to heating the industrial and domestic compartments for hot water supply. The most profitable usage of the solar collectors in the industry is replacement of a human interference with wireless sensor nets. The solar collector standard system consumes in average 30% of the heat due to poor control and configuration. Our monitoring and control system allows upgrade the performance of heating the industrial and domestic premises by means of solar collector for hot water supply.
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Authors and Affiliations

Waldemar Wojcik
1
Yedilhan Amirgaliyev
2
Murat Kunelbayev
2
Aliya Kalizhanova
2
Ainur Kozbakova
2
Talgat Sundetov
Didar Yedilkhan
3

  1. Lublin Technical University, Poland
  2. Institute of Information and Computational Technologies CS MES RK, Al-Farabi Kazakh National University
  3. Institute of Information and Computational Technologies CS MES RK, Astana IT University
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Abstract

The article considers the problem of stability of interval-defined linear systems based on the Hurwitz and Lienard- Shipar interval criteria. Krylov, Leverier, and Leverier- Danilevsky algorithms are implemented for automated construction and analysis of the interval characteristic polynomial. The interval mathematics library was used while developing the software. The stability of the dynamic system described by linear ordinary differential equations is determined and based on the properties of the eigenvalues of the interval characteristic polynomial. On the basis of numerical calculations, the authors compare several methods of constructing the characteristic polynomial. The developed software that implements the introduced interval arithmetic operations can be used in the study of dynamic properties of automatic control systems, energy, economic and other non-linear systems.
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Authors and Affiliations

Talgat Mazakov
1
Waldemar Wójcik
2
Sholpan Jomartova
1
Nurgul Karymsakova
3
Gulzat Ziyatbekova
1
Aisulu Tursynbai
3

  1. Institute of Information and Computational Technologies CS MES RK, Al-Farabi Kazakh National University, Almaty, Kazakhstan
  2. Lublin Technical University, Poland
  3. Al-Farabi Kazakh National University, Almaty, Kazakhstan

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