Heuristic Modeling of NBIT Capabilities: Cognitive Aspects

Authors V.P. Mygal , G.V. Mygal

National Aerospace University “Kharkiv Aviation Institute”, 7, Chkalova St., 61070 Kharkiv, Ukraine

Issue Volume 14, Year 2022, Number 4
Dates Received 25 April 2022; revised manuscript received 07 August 2022; published online 25 August 2022
Citation V.P. Mygal, G.V. Mygal, J. Nano- Electron. Phys. 14 No 4, 04007 (2022)
DOI https://doi.org/10.21272/jnep.14(4).04007
PACS Number(s) 05.10. – a
Keywords Technology convergence, Biomimicry, Fractal triangle, Signature analysis, Cognitive aspects.

The complexity of modeling the functioning of dynamic systems of various nature (sensors, detectors, intelligent materials and other sources of information) is due to their nonlinearity, uncertainty and ambiguity. Therefore, it became necessary to develop a new heuristic modeling method based on a fractal triangle and a natural honeycomb structure. The nature of the restructuring of the structure of fractal cyclic signals of various nature (sensors, detectors, intelligent materials and other sources of information) contains hidden information about the individual features of their functioning in unforeseen conditions. The purpose of the work is to develop natural methods for heuristic modeling on a transdisciplinary basis. The complexity of modeling the action of environmental or activity stress factors leads to safety problems and the complexity of managing the functioning of complex dynamic systems. Stress factors increase the uncertainty of spatio-temporal relationships, the analog signature analysis of which makes it possible to estimate the relative change in their configurations and powers of microstates. Therefore, the dynamic structure of a fractal signal can be analyzed in real time using complementary probabilistic and deterministic methods. Hybrid processing of time series and parametric representation of the difference in their patterns and signatures in the transdisciplinary cognitive space have a great innovative potential for solving security problems (functional, informational, energy) and usability individualization. In particular, the visualization of hidden spatial and temporal features of signals demonstrates the advantages and validity of cognitive visualization of the functioning of various information sources and their transmission media.

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