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Optimization algorithms intellectual labor information visualization techniques using cognitive semantic graphics

Keywords:

I. V. Stepanian – Ph.D. (Eng.), Dr.Sc. (Biol.), Leading Research Scientist, Laboratory of biodynamics, Institute for Machine Science named by A.A. Blagonravov of the RAS, Leading Research Scientist, Moscow State Сonservatory named by P.I. Chaikovsky (Moscow)
E. I. Denisov – Ph.D. (Biol.), F.F. Erisman award winner, Principal Research Scientist, Innovations in Occupational Health group, Research Institute of Occupational Health under the RAMS (Moscow)
A. L. Eryomin – Ph.D (Med.), Associate Professor, Chief of course “Hygiene and Ecology” of Kuban Medical Institute; Chief specialist-expert of Territorial office of Federal Service for Surveillance on Consumer Rights Protection and Human Well-being (Rospotrebnadzor) of the Krasnodar Krai
V. I. Bodyakin – Ph.D. (Phys.-Math.), Dr.Sc. (Eng.), Senior Research Scientist, Laboratory of analysis and modeling of information processes, Institute of Control Sciences named by V.A. Trapeznikov of the Russian Academy of Sciences (Moscow)
A. V. Savelyev – Senior Research Scientist, Editor of the Journal «Neurocomputers: development, application», «Radio Engineering» Publisher, Patent agency «©Uniquely honest patenting» www.patenttt.narod.ru (Moscow)


For further advance in the direction of cognitive processes optimizing necessary to develop methods for measuring visual information, such as geometry of merged information elements (components) [8], neuro-semantic tools for converting of linear information flow in a hierarchical multipartite graph by auto-structurization mechanism [9], etc. From the hygienic point of view this would measurements, evaluation and standardization of information and achievement of adequate mental stress (according to the group of three GOST R ISO 10075 «Ergonomic principles of ensure the adequacy of mental workload» 2009–2011) and the prevention of operators neuro-emotional tension. Testing and comparative analysis of methods for constructing semantic graph maps the information, provided in the form of a text stream for visualizing of structural frequency representation under technology word clouds – wordle.net (Feinberg J., 2013), and under advanced with the vectors of logical connections (Stepanian I. V., 2013) were presented. The perspective of these technologies to improve efficiency in ergatic systems «man – machine – environment – society» was marked. And using on the technologies for optimize the display, perception and analysis of large data amounts in ergatic systems and for intellectual innovation actions in conditions of high information loads was estimated as very perspective research area in occupational medicine psychophysiology and mental labor. Bring together the scientific community on development and implement of algorithms for semantic clustering and word processing software (including taking into account the Glass theory) in the «opto-electronic ergatic systems» involving human registrar-operator, could foster intellectual work with «augmented reality», improve safety, emergence, and innovative creativity.
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