Paper
7 August 2017 Functional integration of automated system databases by means of artificial intelligence
Volodymyr M. Dubovoi, Olena D. Nikitenko, Maksat Kalimoldayev, Andrzej Kotyra, Konrad Gromaszek, Aigul Iskakova
Author Affiliations +
Proceedings Volume 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017; 104452C (2017) https://doi.org/10.1117/12.2280988
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2017, 2017, Wilga, Poland
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Volodymyr M. Dubovoi, Olena D. Nikitenko, Maksat Kalimoldayev, Andrzej Kotyra, Konrad Gromaszek, and Aigul Iskakova "Functional integration of automated system databases by means of artificial intelligence", Proc. SPIE 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017, 104452C (7 August 2017); https://doi.org/10.1117/12.2280988
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KEYWORDS
Databases

Fuzzy logic

Artificial intelligence

Data processing

Integration

Computing systems

Data integration

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