ALGORITHMS FOR DATA MODELS PROCESSING FOR INTEGRAL ESTIMATION OF FLIGHT CREWS’ PERSONNEL STATES

Authors

  • N. I. Aralova Institute of Cybernetics of V. M. Glushkov National Academy of Sciences of Ukraine, Kyiv, Ukraine
  • O. M. Klyuchko National Aviation University, Kyiv, Ukraine
  • V. I. Mashkin Institute of Cybernetics of V. M. Glushkov National Academy of Sciences of Ukraine, Kyiv, Ukraine
  • I. V. Mashkina Borys Grinchenko Kyiv University, Kyiv, Ukraine

DOI:

https://doi.org/10.18372/1990-5548.55.12788

Keywords:

Functional state of operator, operator efficiency, integral estimation, regressive model, estimation of the state of flight crews’ personnel

Abstract

The algorithm for data model processing is proposed for the estimation of the physical, psychophysiological and functional state of flight crew personnel. There are the number of information technologies that combine the complexes of devices and methods to determine the psychological and psycho-physiological characteristics of operators in the process of their professional activities in present time. The work done can be used in the development of information and diagnostic system designed for automatic collection, storage and processing of physiological and psychophysiological data for preventive medical examination services for personnel from the flight crews.

Author Biographies

N. I. Aralova, Institute of Cybernetics of V. M. Glushkov National Academy of Sciences of Ukraine, Kyiv, Ukraine

Candidate of Science (Engineering). Senior researcher

O. M. Klyuchko, National Aviation University, Kyiv, Ukraine

Educational & Research Institute of Air Navigation

Candidate of Science (Вiophysics). Associate Professor. Senior researcher

V. I. Mashkin, Institute of Cybernetics of V. M. Glushkov National Academy of Sciences of Ukraine, Kyiv, Ukraine

Candidate of Science (Engineering). Senior researcher

I. V. Mashkina, Borys Grinchenko Kyiv University, Kyiv, Ukraine

Candidate of Science (Engineering). Associate Professor

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MATHEMATICAL MODELING OF PROCESSES AND SYSTEMS