24 research outputs found
Spatio-temporal data processing of automated geodynamic monitoring system
System In this paper, an approach to the organization of spatial-temporal processing of geoelectrical data in the system of automated geodynamic control is considered. It allows combining methodical, algorithmic, program and information support of the processes of collecting and processing of geodynamic information at subjects to contro
A Method and a Device for Diagnostics of the Functional State of Peripheral Vessels of the Upper Limbs
The article suggests a method and a device for diagnostics of the functional state of peripheral vessels of the upper limbs, which provide identification of angiospastic disorders with a lower probability of falsenegative result, allowing thereby the quality of diagnostics to be improved. The suggested approach is based on combined application of laser Doppler flowmetry and contact thermometry during an occlusion test. The obtained results can be used in various fields of medicine for the development of multifunctional noninvasive diagnostic systems for the diagnosis and prevention of diseases associated with changes in the functional state of peripheral vessels
ΠΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ Π°ΠΏΠΏΡΠΎΠΊΡΠΈΠΌΠ°ΡΠΈΠΈ ΡΠΏΠ΅ΠΊΡΡΠΎΠ² Π΄Π»Ρ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΡ ΡΠ²ΠΎΠΉΡΡΠ² Π±Π΅ΡΠΏΡΠΎΠ²ΠΎΠ΄Π½ΡΡ ΠΊΠ°Π½Π°Π»ΠΎΠ² ΡΠ²ΡΠ·ΠΈ
This work is devoted to the application of approximation methods for modeling wireless radio communication channels. The rationale and prospects of the use of unmanned aerial vehicles as part of flying self-organizing networks for the transmission of high-speed information in the conditions of Β«smart citiesΒ» are demonstrated. The problem of using these networks is also referred, associated with the technical complexity of ensuring acceptable reliability and quality of wireless communication, associated with the multipath of signal propagation and a number of other factors. It is shown that in this aspect, the development of mathematical modeling methods of analyzing signals at the inputs of UAV radio receivers in order to evaluate their amplitude- phase transformations by a communication channel is of special significance. It has been established that the connection between the signals on the transmitting and receiving sides of an arbitrary wireless radio communication channel, assuming its linearity, can be uniquely determined by a complex transfer function in the frequency domain, which in practice is very complex and difficult to describe analytically. In this regard, an approach to its approximation by an equivalent model, described by fractional- rational functions of a complex variable, physically realized by mixed connections of various linear inertial and inertial links, is proposed, and for modeling dynamic characteristics, a numerical-a nalytical modeling technique based on the spectral method and piecewise linear approximation. A results of applying the proposed solutions are shown.Β Surzhik D. I., Vasilyev G. S., Kuzichkin O. R., Koskin A. V., Fedorov V. I. Application of spectral approximation to model the dynamic properties of wireless communication channels. Ural Radio Engineering Journal. 2023;7(3):318β333. (In Russ.) DOI: 10.15826/urej.2023.7.3.006ΠΠ°Π½Π½Π°Ρ ΡΠ°Π±ΠΎΡΠ° ΠΏΠΎΡΠ²ΡΡΠ΅Π½Π° ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² Π°ΠΏΠΏΡΠΎΠΊΡΠΈΠΌΠ°ΡΠΈΠΈ Π΄Π»Ρ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π±Π΅ΡΠΏΡΠΎΠ²ΠΎΠ΄Π½ΡΡ
ΡΠ°Π΄ΠΈΠΎΠΊΠ°Π½Π°Π»ΠΎΠ² ΡΠ²ΡΠ·ΠΈ. ΠΠΎΠΊΠ°Π·Π°Π½Π° Π°ΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ ΠΈ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ Π±Π΅ΡΠΏΠΈΠ»ΠΎΡΠ½ΡΡ
Π»Π΅ΡΠ°ΡΠ΅Π»ΡΠ½ΡΡ
Π°ΠΏΠΏΠ°ΡΠ°ΡΠΎΠ² Π² ΡΠΎΡΡΠ°Π²Π΅ Π»Π΅ΡΠ°ΡΡΠΈΡ
ΡΠ°ΠΌΠΎΠΎΡΠ³Π°Π½ΠΈΠ·ΡΡΡΠΈΡ
ΡΡ ΡΠ΅ΡΠ΅ΠΉ Π΄Π»Ρ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ Π²ΡΡΠΎΠΊΠΎΡΠΊΠΎΡΠΎΡΡΠ½ΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
Β«ΡΠΌΠ½ΡΡ
Π³ΠΎΡΠΎΠ΄ΠΎΠ²Β». ΠΡΠΌΠ΅ΡΠ΅Π½Π° ΡΠ°ΠΊΠΆΠ΅ ΠΈ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ° ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π΄Π°Π½Π½ΡΡ
ΡΠ΅ΡΠ΅ΠΉ, ΡΠ²ΡΠ·Π°Π½Π½Π°Ρ Ρ ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ»ΠΎΠΆΠ½ΠΎΡΡΡΡ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ ΠΏΡΠΈΠ΅ΠΌΠ»Π΅ΠΌΠΎΠΉ Π½Π°Π΄Π΅ΠΆΠ½ΠΎΡΡΠΈ ΠΈ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° Π±Π΅ΡΠΏΡΠΎΠ²ΠΎΠ΄Π½ΠΎΠΉ ΡΠ²ΡΠ·ΠΈ, ΡΠ²ΡΠ·Π°Π½Π½Π°Ρ Ρ ΠΌΠ½ΠΎΠ³ΠΎΠ»ΡΡΠ΅Π²ΠΎΡΡΡΡ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½ΠΈΡ ΡΠΈΠ³Π½Π°Π»ΠΎΠ² ΠΈ ΡΡΠ΄ΠΎΠΌ Π΄ΡΡΠ³ΠΈΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ². ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ Π² Π΄Π°Π½Π½ΠΎΠΌ Π°ΡΠΏΠ΅ΠΊΡΠ΅ ΠΎΡΠΎΠ±ΡΡ Π°ΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΠ΅Ρ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π΄Π»Ρ Π°Π½Π°Π»ΠΈΠ·Π° ΡΠΈΠ³Π½Π°Π»ΠΎΠ² Π½Π° Π²Ρ
ΠΎΠ΄Π°Ρ
ΡΠ°Π΄ΠΈΠΎΠΏΡΠΈΠ΅ΠΌΠ½ΠΈΠΊΠΎΠ² ΠΠΠΠ Π΄Π»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΈΡ
Π°ΠΌΠΏΠ»ΠΈΡΡΠ΄Π½ΠΎ-ΡΠ°Π·ΠΎΠ²ΡΡ
ΠΏΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠΉ ΠΊΠ°Π½Π°Π»ΠΎΠΌ ΡΠ²ΡΠ·ΠΈ. Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ ΡΠ²ΡΠ·Ρ ΠΌΠ΅ΠΆΠ΄Ρ ΡΠΈΠ³Π½Π°Π»Π°ΠΌΠΈ Π½Π° ΠΏΠ΅ΡΠ΅Π΄Π°ΡΡΠ΅ΠΉ ΠΈ ΠΏΡΠΈΠ΅ΠΌΠ½ΠΎΠΉ ΡΡΠΎΡΠΎΠ½Π΅ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ»ΡΠ½ΠΎΠ³ΠΎ Π±Π΅ΡΠΏΡΠΎΠ²ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΡΠ°Π΄ΠΈΠΎΠΊΠ°Π½Π°Π»Π° ΡΠ²ΡΠ·ΠΈ Π² ΠΏΡΠ΅Π΄ΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΠΈ ΠΎ Π΅Π³ΠΎ Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΡΡΠΈ ΠΌΠΎΠΆΠ΅Ρ ΠΎΠ΄Π½ΠΎΠ·Π½Π°ΡΠ½ΠΎ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΡΡΡΡ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΠΎΠΉ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΎΡΠ½ΠΎΠΉ ΡΡΠ½ΠΊΡΠΈΠ΅ΠΉ Π² ΡΠ°ΡΡΠΎΡΠ½ΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ, ΠΊΠΎΡΠΎΡΠ°Ρ Π½Π° ΠΏΡΠ°ΠΊΡΠΈΠΊΠ΅ ΡΠ²Π»ΡΠ΅ΡΡΡ Π²Π΅ΡΡΠΌΠ° ΡΠ»ΠΎΠΆΠ½ΠΎΠΉ ΠΈ ΠΏΠ»ΠΎΡ
ΠΎ ΠΏΠΎΠ΄Π΄Π°Π΅ΡΡΡ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠΌΡ ΠΎΠΏΠΈΡΠ°Π½ΠΈΡ. Π ΡΠ²ΡΠ·ΠΈ Ρ ΡΡΠΈΠΌ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΊ Π΅Π΅ Π°ΠΏΠΏΡΠΎΠΊΡΠΈΠΌΠ°ΡΠΈΠΈ ΡΠΊΠ²ΠΈΠ²Π°Π»Π΅Π½ΡΠ½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΡΡ, ΠΎΠΏΠΈΡΡΠ²Π°Π΅ΠΌΠΎΠΉ Π΄ΡΠΎΠ±Π½ΠΎ-ΡΠ°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠΌΠΈ ΡΡΠ½ΠΊΡΠΈΡΠΌΠΈ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΠΎΠ³ΠΎ ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠ³ΠΎ, ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΈ ΡΠ΅Π°Π»ΠΈΠ·ΡΠ΅ΠΌΡΠΌΠΈ ΡΠΌΠ΅ΡΠ°Π½Π½ΡΠΌΠΈ ΡΠΎΠ΅Π΄ΠΈΠ½Π΅Π½ΠΈΡΠΌΠΈ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
Π»ΠΈΠ½Π΅ΠΉΠ½ΡΡ
ΠΈΠ½Π΅ΡΡΠΈΠΎΠ½Π½ΡΡ
ΠΈ Π±Π΅Π·ΡΠ½Π΅ΡΡΠΈΠΎΠ½Π½ΡΡ
Π·Π²Π΅Π½ΡΠ΅Π², Π° Π΄Π»Ρ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ β ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ° ΡΠΈΡΠ»Π΅Π½Π½ΠΎ- Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΠΏΠ΅ΠΊΡΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΌΠ΅ΡΠΎΠ΄Π° ΠΈ ΠΊΡΡΠΎΡΠ½ΠΎ-Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΠΉ Π°ΠΏΠΏΡΠΎΠΊΡΠΈΠΌΠ°ΡΠΈΠΈ. ΠΠΎΠΊΠ°Π·Π°Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΡΡ
ΡΠ΅ΡΠ΅Π½ΠΈΠΉ.Β Π‘ΡΡΠΆΠΈΠΊ Π. Π., ΠΠ°ΡΠΈΠ»ΡΠ΅Π² Π. Π‘., ΠΡΠ·ΠΈΡΠΊΠΈΠ½ Π. Π ., ΠΠΎΡΡΠΊΠΈΠ½ Π. Π., Π€Π΅Π΄ΠΎΡΠΎΠ² Π. Π. ΠΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ Π°ΠΏΠΏΡΠΎΠΊΡΠΈΠΌΠ°ΡΠΈΠΈ ΡΠΏΠ΅ΠΊΡΡΠΎΠ² Π΄Π»Ρ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ²ΠΎΠΉΡΡΠ² Π±Π΅ΡΠΏΡΠΎΠ²ΠΎΠ΄Π½ΡΡ
ΠΊΠ°Π½Π°Π»ΠΎΠ² ΡΠ²ΡΠ·ΠΈ. Ural Radio Engineering Journal. 2023;7(3):318β333. DOI: 10.15826/urej.2023.7.3.00
Prospects for Establishment of Technological Complexes in Machine Building Industry on The Basis of Electromechatronic Propulsion Systems
The authors consider prospects for technological complex establishment in machine building industry on the basis of electromechatronic propulsion systems for production of innovative products with different novelty levels: world, state, brunch, region, etc
Long-range exciton transport in brightly fluorescent furan/phenylene co-oligomer crystals
The design of light-emitting crystalline organic semiconductors for optoelectronic applications requires a thorough understanding of the singlet exciton transport process. In this study, we show that the singlet exciton diffusion length in a promising semiconductor crystal based on furan/phenylene co-oligomers is 24 nm. To achieve this, we employed the photoluminescence quenching technique using a specially synthesized quencher, which is a long furan/phenylene co-oligomer that was facilely implanted into the host crystal lattice. Extensive Monte-Carlo simulations, exciton-exciton annihilation experiments and numerical modelling fully supported our findings. We further demonstrated the high potential of the furan/phenylene co-oligomer crystals for light-emitting applications by fabricating solution-processed organic light emitting transistors
Application of spectral approximation to model the dynamic properties of wireless communication channels
ΠΠΎΡΡΡΠΏΠΈΠ»Π°: 04.08.2023. ΠΡΠΈΠ½ΡΡΠ° Π² ΠΏΠ΅ΡΠ°ΡΡ: 12.09.2023.Received: 04.08.2023. Accepted: 12.09.2023.ΠΠ°Π½Π½Π°Ρ ΡΠ°Π±ΠΎΡΠ° ΠΏΠΎΡΠ²ΡΡΠ΅Π½Π° ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² Π°ΠΏΠΏΡΠΎΠΊΡΠΈΠΌΠ°ΡΠΈΠΈ Π΄Π»Ρ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π±Π΅ΡΠΏΡΠΎΠ²ΠΎΠ΄Π½ΡΡ
ΡΠ°Π΄ΠΈΠΎΠΊΠ°Π½Π°Π»ΠΎΠ² ΡΠ²ΡΠ·ΠΈ. ΠΠΎΠΊΠ°Π·Π°Π½Π° Π°ΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ ΠΈ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ Π±Π΅ΡΠΏΠΈΠ»ΠΎΡΠ½ΡΡ
Π»Π΅ΡΠ°ΡΠ΅Π»ΡΠ½ΡΡ
Π°ΠΏΠΏΠ°ΡΠ°ΡΠΎΠ² Π² ΡΠΎΡΡΠ°Π²Π΅ Π»Π΅ΡΠ°ΡΡΠΈΡ
ΡΠ°ΠΌΠΎΠΎΡΠ³Π°Π½ΠΈΠ·ΡΡΡΠΈΡ
ΡΡ ΡΠ΅ΡΠ΅ΠΉ Π΄Π»Ρ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ Π²ΡΡΠΎΠΊΠΎΡΠΊΠΎΡΠΎΡΡΠ½ΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
Β«ΡΠΌΠ½ΡΡ
Π³ΠΎΡΠΎΠ΄ΠΎΠ²Β». ΠΡΠΌΠ΅ΡΠ΅Π½Π° ΡΠ°ΠΊΠΆΠ΅ ΠΈ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ° ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π΄Π°Π½Π½ΡΡ
ΡΠ΅ΡΠ΅ΠΉ, ΡΠ²ΡΠ·Π°Π½Π½Π°Ρ Ρ ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ»ΠΎΠΆΠ½ΠΎΡΡΡΡ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ ΠΏΡΠΈΠ΅ΠΌΠ»Π΅ΠΌΠΎΠΉ Π½Π°Π΄Π΅ΠΆΠ½ΠΎΡΡΠΈ ΠΈ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° Π±Π΅ΡΠΏΡΠΎΠ²ΠΎΠ΄Π½ΠΎΠΉ ΡΠ²ΡΠ·ΠΈ, ΡΠ²ΡΠ·Π°Π½Π½Π°Ρ Ρ ΠΌΠ½ΠΎΠ³ΠΎΠ»ΡΡΠ΅Π²ΠΎΡΡΡΡ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½ΠΈΡ ΡΠΈΠ³Π½Π°Π»ΠΎΠ² ΠΈ ΡΡΠ΄ΠΎΠΌ Π΄ΡΡΠ³ΠΈΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ². ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ Π² Π΄Π°Π½Π½ΠΎΠΌ Π°ΡΠΏΠ΅ΠΊΡΠ΅ ΠΎΡΠΎΠ±ΡΡ Π°ΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΠ΅Ρ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π΄Π»Ρ Π°Π½Π°Π»ΠΈΠ·Π° ΡΠΈΠ³Π½Π°Π»ΠΎΠ² Π½Π° Π²Ρ
ΠΎΠ΄Π°Ρ
ΡΠ°Π΄ΠΈΠΎΠΏΡΠΈΠ΅ΠΌΠ½ΠΈΠΊΠΎΠ² ΠΠΠΠ Π΄Π»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΈΡ
Π°ΠΌΠΏΠ»ΠΈΡΡΠ΄Π½ΠΎ-ΡΠ°Π·ΠΎΠ²ΡΡ
ΠΏΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠΉ ΠΊΠ°Π½Π°Π»ΠΎΠΌ ΡΠ²ΡΠ·ΠΈ. Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ ΡΠ²ΡΠ·Ρ ΠΌΠ΅ΠΆΠ΄Ρ ΡΠΈΠ³Π½Π°Π»Π°ΠΌΠΈ Π½Π° ΠΏΠ΅ΡΠ΅Π΄Π°ΡΡΠ΅ΠΉ ΠΈ ΠΏΡΠΈΠ΅ΠΌΠ½ΠΎΠΉ ΡΡΠΎΡΠΎΠ½Π΅ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ»ΡΠ½ΠΎΠ³ΠΎ Π±Π΅ΡΠΏΡΠΎΠ²ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΡΠ°Π΄ΠΈΠΎΠΊΠ°Π½Π°Π»Π° ΡΠ²ΡΠ·ΠΈ Π² ΠΏΡΠ΅Π΄ΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΠΈ ΠΎ Π΅Π³ΠΎ Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΡΡΠΈ ΠΌΠΎΠΆΠ΅Ρ ΠΎΠ΄Π½ΠΎΠ·Π½Π°ΡΠ½ΠΎ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΡΡΡΡ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΠΎΠΉ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΎΡΠ½ΠΎΠΉ ΡΡΠ½ΠΊΡΠΈΠ΅ΠΉ Π² ΡΠ°ΡΡΠΎΡΠ½ΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ, ΠΊΠΎΡΠΎΡΠ°Ρ Π½Π° ΠΏΡΠ°ΠΊΡΠΈΠΊΠ΅ ΡΠ²Π»ΡΠ΅ΡΡΡ Π²Π΅ΡΡΠΌΠ° ΡΠ»ΠΎΠΆΠ½ΠΎΠΉ ΠΈ ΠΏΠ»ΠΎΡ
ΠΎ ΠΏΠΎΠ΄Π΄Π°Π΅ΡΡΡ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠΌΡ ΠΎΠΏΠΈΡΠ°Π½ΠΈΡ. Π ΡΠ²ΡΠ·ΠΈ Ρ ΡΡΠΈΠΌ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΊ Π΅Π΅ Π°ΠΏΠΏΡΠΎΠΊΡΠΈΠΌΠ°ΡΠΈΠΈ ΡΠΊΠ²ΠΈΠ²Π°Π»Π΅Π½ΡΠ½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΡΡ, ΠΎΠΏΠΈΡΡΠ²Π°Π΅ΠΌΠΎΠΉ Π΄ΡΠΎΠ±Π½ΠΎ-ΡΠ°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠΌΠΈ ΡΡΠ½ΠΊΡΠΈΡΠΌΠΈ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΠΎΠ³ΠΎ ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠ³ΠΎ, ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΈ ΡΠ΅Π°Π»ΠΈΠ·ΡΠ΅ΠΌΡΠΌΠΈ ΡΠΌΠ΅ΡΠ°Π½Π½ΡΠΌΠΈ ΡΠΎΠ΅Π΄ΠΈΠ½Π΅Π½ΠΈΡΠΌΠΈ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
Π»ΠΈΠ½Π΅ΠΉΠ½ΡΡ
ΠΈΠ½Π΅ΡΡΠΈΠΎΠ½Π½ΡΡ
ΠΈ Π±Π΅Π·ΡΠ½Π΅ΡΡΠΈΠΎΠ½Π½ΡΡ
Π·Π²Π΅Π½ΡΠ΅Π², Π° Π΄Π»Ρ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ β ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ° ΡΠΈΡΠ»Π΅Π½Π½ΠΎ-Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΠΏΠ΅ΠΊΡΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΌΠ΅ΡΠΎΠ΄Π° ΠΈ ΠΊΡΡΠΎΡΠ½ΠΎ-Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΠΉ Π°ΠΏΠΏΡΠΎΠΊΡΠΈΠΌΠ°ΡΠΈΠΈ. ΠΠΎΠΊΠ°Π·Π°Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΡΡ
ΡΠ΅ΡΠ΅Π½ΠΈΠΉ.This work is devoted to the application of approximation methods for modeling wireless radio communication channels. The rationale and prospects of the use of unmanned aerial vehicles as part of flying self-organizing networks for the transmission of high-speed information in the conditions of Β«smart citiesΒ» are demonstrated. The problem of using these networks is also referred, associated with the technical complexity of ensuring acceptable reliability and quality of wireless communication, associated with the multipath of signal propagation and a number of other factors. It is shown that in this aspect, the development of mathematical modeling methods of analyzing signals at the inputs of UAV radio receivers in order to evaluate their amplitude-phase transformations by a communication channel is of special significance. It has been established that the connection between the signals on the transmitting and receiving sides of an arbitrary wireless radio communication channel, assuming its linearity, can be uniquely determined by a complex transfer function in the frequency domain, which in practice is very complex and difficult to describe analytically. In this regard, an approach to its approximation by an equivalent model, described by fractional-rational functions of a complex variable, physically realized by mixed connections of various linear inertial and inertial links, is proposed, and for modeling dynamic characteristics, a numerical-analytical modeling technique based on the spectral method and piecewise linear approximation. A results of applying the proposed solutions are shown.Π Π°Π±ΠΎΡΠ° ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠ°Π½Π° ΡΡΠΈΠΏΠ΅Π½Π΄ΠΈΠ΅ΠΉ ΠΡΠ΅Π·ΠΈΠ΄Π΅Π½ΡΠ° Π Π€ Π‘Πβ4829.2021.3 Β«ΠΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ΅Π»Π΅ΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ ΠΏΡΡΠ΅ΠΌ ΡΠ»ΡΡΡΠ΅Π½ΠΈΡ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΠΈΡ
ΡΠ°Π΄ΠΈΠΎΠΏΠ΅ΡΠ΅Π΄Π°ΡΡΠ΅ΠΉ Π°ΠΏΠΏΠ°ΡΠ°ΡΡΡΡΒ». Π’Π΅ΠΎΡΠΈΡ ΠΏΠΎΠ΄Π³ΠΎΡΠΎΠ²Π»Π΅Π½Π° Π² ΡΠ°ΠΌΠΊΠ°Ρ
Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ Π·Π°Π΄Π°Π½ΠΈΡ Π Π€ Β«ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ° ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΡΡ
ΡΠ½Π΅ΡΠ³ΠΎΡΠ±Π΅ΡΠ΅Π³Π°ΡΡΠΈΡ
ΠΈ ΡΠ΅ΡΠΌΠΎΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ΅Π³Π΅Π½Π΅ΡΠ°ΡΠΈΠ²Π½ΡΡ
ΡΠΈΡΡΠ΅ΠΌΒ» Π·Π°ΡΠ²ΠΊΠ° β 2019-1497, β FZWGβ2020-0034.The work was supported by the Russian Federation Presidential Scholarship SPβ4829.2021.3 βImproving the quality indicators of modern space telecommunication systems by improving the characteristics of their radio transmitting equipment.β The theory was prepared within the framework of the state assignment of the Russian Federation βResearch and development of integrated energy-saving and thermoelectric regenerative systemsβ application No. 2019-1497, No. FZWGβ2020-0034
Types of aeroelastic vibrations of turbomachinery bladed discs
A real process was analyzed for presence of self-oscillations. Absence of self-oscillations was revealed as its attributes such as progressive wave and beating were not discovered. A model of oscillatory process was proposed on the basis of the kind of oscillograms and the linear superposition theory for several simultaneously excited oscillation modes. In accordance with the theory two vibrations with frequencies equal to 919 and 469Hz were summed up. As a result of addition of these frequencies and comparison of the derived oscillograms with the real process it was found that the proposed model agrees with the original well enough. Moving further into the process, a third frequency component equal to 1002Hz originates in addition to those of 465 and 918 Hz. Addition of three frequencies carried out similarly to the first example also yields a satisfactory result. Oscillograms of real and model processes have a similar appearance. The frequency components calculated on the basis of the oscillogram of the model process practically coincided with the real process frequencies. Classification of aeroelastic oscillations was analyzed in order to determine the oscillatory type of the process under investigation. Three main phenomena were distinguished: forced oscillations, flutter and non-synchronous oscillations. Almost all foreign engine companies faced the latter phenomenon, sometimes mistaken for flutter. The analyzed example was labeled as non-synchronous oscillations according to features of non-synchronous oscillations, namely, aliquant rotation frequency and resonant behavior of oscillations
Technical aspects of creation of hel`s service-oriented IT-infrastructure
A model of building IT-infrastructure of the educational as a set of independent specialized services is propose
Spatio-temporal data processing of automated geodynamic monitoring system
System In this paper, an approach to the organization of spatial-temporal processing of geoelectrical data in the system of automated geodynamic control is considered. It allows combining methodical, algorithmic, program and information support of the processes of collecting and processing of geodynamic information at subjects to contro
Technical aspects of creation of hel`s service-oriented IT-infrastructure
A model of building IT-infrastructure of the educational as a set of independent specialized services is propose