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Proceedings Paper

Functional integration of automated system databases by means of artificial intelligence
Author(s): Volodymyr M. Dubovoi; Olena D. Nikitenko; Maksat Kalimoldayev; Andrzej Kotyra; Konrad Gromaszek; Aigul Iskakova
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Paper Abstract

The paper presents approaches for functional integration of automated system databases by means of artificial intelligence. The peculiarities of turning to account the database in the systems with the usage of a fuzzy implementation of functions were analyzed. Requirements for the normalization of such databases were defined. The question of data equivalence in conditions of uncertainty and collisions in the presence of the databases functional integration is considered and the model to reveal their possible occurrence is devised. The paper also presents evaluation method of standardization of integrated database normalization.

Paper Details

Date Published: 7 August 2017
PDF: 8 pages
Proc. SPIE 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017, 104452C (7 August 2017); doi: 10.1117/12.2280988
Show Author Affiliations
Volodymyr M. Dubovoi, Vinnytsia National Technical Univ. (Ukraine)
Olena D. Nikitenko, Vinnytsia National Technical Univ. (Ukraine)
Maksat Kalimoldayev, Institute of Information and Computational Technologies (Kazakhstan)
Andrzej Kotyra, Lublin Univ. of Technology (Poland)
Konrad Gromaszek, Lublin Univ. of Technology (Poland)
Aigul Iskakova, Kazakh National Research Technical Univ. after K. I. Satpaev (Kazakhstan)


Published in SPIE Proceedings Vol. 10445:
Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017
Ryszard S. Romaniuk; Maciej Linczuk, Editor(s)

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