Summary to the journal
Requirements to registration
Manuscript formatting rules
Scientific and Technical Journal
ELECTROTECHNIC AND COMPUTER SYSTEMS
ISSN Print 2221-3937
ISSN Online 2221-3805
Automated electromechanical systems
Electric machines and semiconductor converters
General Electrical Engineering
Power Saving by means of the Modern Electrical Engineering
Information Science and Computer Technics
Artificial Intellect Systems
Computer Systems, Networks and their Components
Information systems and technologies
Protection of an information in computer systems
Automation of control processes
Design, Control and Diagnostics
Metrology, Standardization and Certification
Simulation of dynamic systems
Innovation in the educational process
Innovations in Education, Science and Industry
Project and Program Control
The information, messages
PARAMETRIC MODELING OF THE FUNCTIONING DYNAMICS OF DIFFERENT NATURE SENSORS
The means for parametric modeling of the dynamics of the functioning of sensors of different nature are proposed. In models, the structure of control of physical processes in semiconductor and biological sensors is displayed. The hidden features of the sensor function are manifested after the transformation of its signal X(t) and the derivatives (dX /dt, d
) into the parametric signatures X-dX/dt, X-d
. Their configurations are geometric models of the sensor. They clearly show the dynamic and energy components of the sensor. The nature of the interconnection of these components determines the parametric cycle of the sensor in its main phases. Therefore, the informative powers of the main phases of the sensor functioning. The relations between them form the matrix of the system management structure. It allows you to explore the nature of the relationship between key management parameters, on which consistency depends on its effectiveness. The interrelation of the parameters can be analyzed in 3-D. Therefore, the geometric model of the structure of the control cycle, represented in the coordinates dX/dt-d
, provides qualitatively new possibilities. Firstly, information aspects of sensor functioning can be analyzed by complementary dynamic and statistical methods. Secondly, to use natural and interrelated dynamic parameters in the analysis, as well as universal indicators of dynamic order and energy balance. Third - to form a matrix of indicators of the balance of management capacities between the main phases of functioning. The advantage of 3-D parametric modeling of sensors is: a) the natural decomposition of signals into the interrelated dynamic and energy components of their operation; B) the natural decomposition of signals into subsets of microstates, the nature of their distribution determines the order and balance of their functioning. Therefore, it is possible to model the influence of external and internal factors on the nature of the relationship between the indicators of balance. With a comparative analysis of parameters and performance indicators, the reasons for the inefficiency of parametric control are visible. 3- D parametric modeling allows us to identify and analyze hidden spatio-temporal correlations in the dynamics of the functioning of sensors of different nature.
Mygal Galina V.
Mygal Valerii P.
sensors, parametric model, the signature, structure signal, geometrization, phase portrait, ordering.
Komar, V., Gektin, A., Nalivaiko, D., Klimenko, I. et al. (2001), Characterization of CdZnTe crystals grown by HPB method, Nucl. Instr. Meth. Phys. Res., A 458, p. 113–122.
Fainzilberg, L.S. (2008), “Information technology for signal processing of complex shape”, [Informatsionnyie tehnologii obrabotki signalov slozhnoy formyi], Kyiv: Naukova Dumka. (Rus)
Knorring, V. I. (2001), Theory, practice and art of management [Teoriya, praktika i iskusstvo upravleniya], Moskva: NORMA.
Mygal, V. P., But, A. V., Mygal, G. V. & Klimenko, I. A., (2016), An interdisciplinary approach to study individuality in biological and physical systems functioning.
Nature Publishing Group
: Scientific Reports: № 6, Article number: 29512.
Mygal, V.P., But, A.V., Phomin, A.S. and Klimenko, I.A. (2015), Geometrization of the dynamic structure of the transient photoresponse from zinc chalcogenides, Semiconductors, № 49, рp. 634–637. (In English).
But, A.V., Migal, V.P. and Fomin A.S. (2012), Structure of a time variable photoresponse from semiconductor sensors, Technical Physics, № 57, p.575–577.
But, A.V., Mygal, V.P., Bodnar, I.V. (2012), Spatial-temporal order of the photoresponse from the sensor materials, Optical Systems Design, Proc. SPIE 8550, 85502B. (In English).
Migal, V.P., Fomin, A.S. (2007), Effect of structural inhomogeneities on the dynamic stability of the photoelectric response of Cd0.9Zn0.1Te Crystals, Inorganic Materials, № 43, p. 1179–1183. (In English).
Keith, A. Entropy. American Journal of Physics 52, 492–496 (1984).
Migal, V.P., But A.V., Migal G.V., Klymenko I.A. (2015), Hereditary functional individuality of semiconductor sensors, Funct. Mater., № 22 (3), p. 387–391.
. (In English).
Migal, V.P., Migal G.V. (2016), Cyber physical approach to study the functioning of dynamic systems [Kiberfizicheskiy podhod k issledovaniyu funktsionirovaniya dinamicheskih sistem], Elektrotehnicheskie i kompyuternyie sistemyi, № 22(98), p. 354–358. (Rus)
№ 25(101), 2017
15 May 2017
Про науково-технічну конференцію «Електротехнічні та комп’ютерні системи: теорія і практика»
12 May 2017
КОЛОНКА ГОЛОВНОГО РЕДАКТОРА
14 Nov 2016
New rules for registration of articles in the journal
KarelWintersky ] [
[ © Odessa National Polytechnic University, 2014. Any use of information from the site is possible only under the condition that the source link! ]