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Denisova L.A.,Omsk State Technical University | Meshcheryakov V.A.,Siberian State Automobile and Highway Academy SibADI
Automation and Remote Control | Year: 2015

The authors propose an approach to the parametric synthesis of an automatic control system by a selected performance criterion using the genetic algorithm. A mathematic model of a digital automatic control system is provided and realized in MATLAB/Simulink. And finally, the paper presents the results of system parameters optimization in the range of settings ruling out instable operation and self-oscillations; these results have been obtained in MATLAB/Genetic Algorithm and Direct Search Toolbox. © 2015, Pleiades Publishing, Ltd. Source


Epifantsev B.N.,Siberian State Automobile and Highway Academy SibADI | Lozhnikov P.S.,Omsk State Technical University | Sulavko A.E.,Omsk State Technical University | Zhumazhanova S.S.,Siberian State Automobile and Highway Academy SibADI
Optoelectronics, Instrumentation and Data Processing | Year: 2016

This paper presents a comparison of natural and artificial intelligences in identifying operators of information-processing systems and their functional state based on handwriting. The cause of the large scatter in the person identification error probability is determined. It is concluded that at the present level of knowledge, the best result achieved in solving the problem by artificial intelligence systems is close to that potentially possible. It is substantiated that online handwritten signature verification is suitable for identifying the functional state of operators of human-machine systems in professional activities. © 2016, Allerton Press, Inc. Source


Epifantsev B.N.,Siberian State Automobile and Highway Academy SibADI | Arkhipov A.A.,Siberian State Automobile and Highway Academy SibADI
Optoelectronics, Instrumentation and Data Processing | Year: 2015

This problem of identifying operators during interaction with a technical system of thermal and visible face imaging is considered. The informativeness of the facial asymmetry feature is estimated. It is concluded that it is preferred to use thermal images to solve the problem. Estimates of the probabilities of correct identification of operators are obtained. © 2015, Allerton Press, Inc. Source

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