Open AccessConvergent use of neural network information technologies for monitoring and evaluating the performance of digital control operators of situational centers at critical infrastructure facilities
Author(s) -
Е Л Логинов,
V. V. Grigoriev,
P. A. Bojko,
V. S. Balandin,
G. S. Ivanovskij
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/939/1/012044
Subject(s) - situation awareness , control (management) , operator (biology) , computer science , workload , computer security , adaptation (eye) , situational ethics , mood , human–computer interaction , risk analysis (engineering) , knowledge management , artificial intelligence , psychology , engineering , business , social psychology , biochemistry , chemistry , repressor , neuroscience , transcription factor , gene , aerospace engineering , operating system
In the technology under consideration is proposed the convergent adaptation of neuro-monitoring testing services and packages of intelligent information coming to an individual by neuro-monitoring readout of the interests, emotions and mood of the observed standardized conditional operator with the measuring of workload exposed on the main sensor perceptional channels of a concrete digital management operator within smart community, meta-program and others. There are formed the conditions for the provision of a human with information taking into account the characteristics of the individual intelligence structure: its unity, integrity, and systematization within the behavioral model aimed at the duty performance. At the same time the information packages are formed in an automated way correlating with his personal socio-political position and attitude to the policy of the agents of control of smart-community segments with the future forecast of the possible deviant expressions in the network.