5 research outputs found
Methods for assessing the impact of bandwidth of control channels on the quality of telecommunications networks in the transmission of data packets of different types
Abstract: It is known that since the early 2000s there has been a rapid increase in data traffic and a significant increase in the need for information flows in the process of providing new types of telecommunications services. This has led to the fact that the existing telecommunications networks have failed or approached the limit of their ability to serve subscribers with specified quality of service. The problem of improving the network architecture of such networks and improving the quality of their operation based on the use of modern methods and principles has arisen and needs constant solution. In this paper the requirements to the bandwidth of the channels of the telecommunication network management system in modern conditions are analyzed and their formalized description is given. In order to assess the bandwidth of the channel of the control network of the telecommunications network on the indicators of the quality of its work in the transmission of various types of data in the work developed and submitted an appropriate methodology. The method is based on mathematical dependences that describe the process of functioning of the telecommunication network management system based on the application of the laws and rules of queuing theory
Enhancing an imageβs compression while keeping quality standards utilizing new mathematical technology
The rapid development of technology led to the need to keep pace with it, especially in the field of image processing, because of its importance in the need to get better results. In this paper, new discrete Chebyshev wavelet transforms (DChWT) derived from Chebyshev polynomials (ChP) were proposed and characterized. In terms of orthogonality and approximation (convergence) in the field of mathematics, (ChP) were qualified to transform into discrete wavelets called (DChWT), depending on the mother function with operators (s, r), and were used in image processing to analyze them in the low filter and the high filter so that the image is analyzed into coefficients. Proximity and detail coefficients, which lead to dividing the image into four parts, low left (LL), in which the proximity coefficients are concentrated while the rest of the parts are centered on the detail coefficients, which are high left (HL), low right (LR), and high right (HR), and image compression through the new filter, which has proven its efficiency at level (8) in our results. The results of the proposed wavelets in this work were reached in calculating quality standards in the image obtained after the compression process after comparing them with the results obtained using the standard wavelet used in HaarSymlet 2, Conflict 2, and Daubecheis 2. The most important of these standards is a mean square error (MSE), peak signal-to-noise ratio (PSNR), bit per pixel (BPP), compression ratio (CR), and table one. In this paper, the efficiency of the proposed new wavelets is explained after adding it to MATLAB and according to a specific program to drop in with the basic wavelets to take on their role in important tasks in the image processing area, like artificial intelligenc
ΠΡΡΠ½ΠΊΠ° ΠΌΠΎΠΆΠ»ΠΈΠ²ΠΎΡΡΠ΅ΠΉ ΠΊΠΎΠΌΠ±ΡΠ½ΠΎΠ²Π°Π½ΠΎΡ ΡΠΈΡΡΠ΅ΠΌΠΈ ΡΠΈΠ½Ρ ΡΠΎΠ½ΡΠ·Π°ΡΡΡ Π· ΡΠΎΠ·ΡΠΌΠΊΠ½ΡΡΠΈΠΌ Π·Π²βΡΠ·ΠΊΠΎΠΌ Π΄ΠΎ ΠΌΡΠ½ΡΠΌΡΠ·Π°ΡΡΡ Π΄ΠΈΡΠΏΠ΅ΡΡΡΡ ΡΠ°Π·ΠΎΠ²ΠΎΡ ΠΏΠΎΠΌΠΈΠ»ΠΊΠΈ ΠΏΡΠΈ ΡΡΠ΅ΠΆΠ΅Π½Π½Ρ Π·Π° Π½Π΅ΡΡΡΠΎΡ ΡΠ°ΡΡΠΎΡΠΎΡ Π² ΡΠΌΠΎΠ²Π°Ρ Π²ΠΏΠ»ΠΈΠ²Ρ Π°Π΄Π΄ΠΈΡΠΈΠ²Π½ΠΎΠ³ΠΎ Π³Π°ΡΡΡΠ²ΡΡΠΊΠΎΠ³ΠΎ ΡΡΠΌΡ
The object of the article is the process of evaluating the possibilities of a combined synchronization system with open (compensating) connection to minimize the phase error variance under the influence of additive Gaussian noise.The issue of improving the quality of the phase synchronization system is a constant topical scientific task and in a number of studies is solved by including the method of developing mathematical models and creating on their basis the appropriate optimal schemes for building these systems. The final stage of development and implementation of such mathematical models in technical solutions and synchronization schemes based on them is the assessment of the limit possibilities of these schemes to minimize the variance of the phase error in different types of noiseThe paper evaluates the possibilities of a combined synchronization system with open (compensating) connection to minimize the phase error dispersion under the influence of additive Gaussian noise by selecting the parameters of the components of the circuit of this connection.In order to evaluate the work, mathematical dependencies have been developed and refined, which allow to determine the variance of the phase error under the influence of additive Gaussian noise and the corresponding algorithm for its determination is presented.The evaluation results presented in the work showed that the value of the error variance for the combined synchronization system is much smaller than for the closed synchronization system with any choice of the parameters of the latter. The effect of reducing the phase error variance by introducing a broken link at a given level of influence depends on the noise signal level and the phase modulation index of the input signal. When using as a simple broken link a frequency discriminator included in the circuit of the combined synchronization system in parallel, the minimum dispersion of the phase error when the noise level rises to a certain critical limit is limited and this broken link loses its effectiveness.ΠΠ±ΡΠ΅ΠΊΡΠΎΠΌ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΡΠΎΡΠ΅ΡΡ ΠΎΡΠ΅Π½ΠΊΠΈ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠ΅ΠΉ ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ ΡΠΈΠ½Ρ
ΡΠΎΠ½ΠΈΠ·Π°ΡΠΈΠΈ Ρ ΡΠ°Π·ΠΎΠΌΠΊΠ½ΡΡΠΎΠΉ (ΠΊΠΎΠΌΠΏΠ΅Π½ΡΠΈΡΡΡΡΠ΅ΠΉ) ΡΠ²ΡΠ·ΡΡ ΠΏΠΎ ΠΌΠΈΠ½ΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ Π΄ΠΈΡΠΏΠ΅ΡΡΠΈΠΈ ΡΠ°Π·ΠΎΠ²ΠΎΠΉ ΠΎΡΠΈΠ±ΠΊΠΈ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ Π°Π΄Π΄ΠΈΡΠΈΠ²Π½ΠΎΠ³ΠΎ Π³Π°ΡΡΡΠΎΠ²ΡΠΊΠΎΠ³ΠΎ ΡΡΠΌΠ°. ΠΠΎΠΏΡΠΎΡΡ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΡΡΠ½ΠΊΡΠΈΠΎΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ ΡΠ°Π·ΠΎΠ²ΠΎΠΉ ΡΠΈΠ½Ρ
ΡΠΎΠ½ΠΈΠ·Π°ΡΠΈΠΈ ΡΠ²Π»ΡΡΡΡΡ ΠΏΠΎΡΡΠΎΡΠ½Π½ΡΠΌΠΈ Π²Π°ΠΆΠ½ΡΠΌΠΈ Π½Π°ΡΡΠ½ΡΠΌΠΈ Π·Π°Π΄Π°ΡΠ°ΠΌΠΈ ΠΈ Π² ΡΡΠ΄Π΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΡΠ΅ΡΠ°ΡΡΡΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ ΠΈ ΡΠΎΠ·Π΄Π°Π½ΠΈΠ΅ΠΌ Π½Π° ΠΈΡ
ΠΎΡΠ½ΠΎΠ²Π΅ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΡ
ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΡΡ
ΡΡ
Π΅ΠΌ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ ΡΠΊΠ°Π·Π°Π½Π½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ. ΠΠΎΠ½Π΅ΡΠ½ΡΠΌ ΡΡΠ°ΠΏΠΎΠΌ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΈ Π²Π½Π΅Π΄ΡΠ΅Π½ΠΈΡ ΡΠ°ΠΊΠΈΡ
ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Π² ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΡ ΠΈ ΠΏΠΎΡΡΡΠΎΠ΅Π½Π½ΡΡ
Π½Π° ΠΈΡ
ΠΎΡΠ½ΠΎΠ²Π΅ ΡΡ
Π΅ΠΌ ΡΠΈΠ½Ρ
ΡΠΎΠ½ΠΈΠ·Π°ΡΠΈΠΈ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΎΡΠ΅Π½ΠΊΠ° ΠΏΡΠ΅Π΄Π΅Π»ΡΠ½ΡΡ
Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠ΅ΠΉ ΡΠΊΠ°Π·Π°Π½Π½ΡΡ
ΡΡ
Π΅ΠΌ ΠΏΠΎ ΠΌΠΈΠ½ΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ Π΄ΠΈΡΠΏΠ΅ΡΡΠΈΠΈ ΡΠ°Π·ΠΎΠ²ΠΎΠΉ ΠΎΡΠΈΠ±ΠΊΠΈ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
Π²ΠΈΠ΄ΠΎΠ² ΡΡΠΌΠΎΠ².Π ΡΠ°Π±ΠΎΡΠ΅ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π° ΠΎΡΠ΅Π½ΠΊΠ° Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠ΅ΠΉ ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ ΡΠΈΠ½Ρ
ΡΠΎΠ½ΠΈΠ·Π°ΡΠΈΠΈ Ρ ΡΠ°Π·ΠΎΠΌΠΊΠ½ΡΡΠΎΠΉ (ΠΊΠΎΠΌΠΏΠ΅Π½ΡΠΈΡΡΡΡΠ΅ΠΉ) ΡΠ²ΡΠ·ΡΡ ΠΏΠΎ ΠΌΠΈΠ½ΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ Π΄ΠΈΡΠΏΠ΅ΡΡΠΈΠΈ ΡΠ°Π·ΠΎΠ²ΠΎΠΉ ΠΎΡΠΈΠ±ΠΊΠΈ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ Π°Π΄Π΄ΠΈΡΠΈΠ²Π½ΠΎΠ³ΠΎ Π³Π°ΡΡΡΠΎΠ²ΡΠΊΠΎΠ³ΠΎ ΡΡΠΌΠ° ΠΏΡΡΠ΅ΠΌ ΠΏΠΎΠ΄Π±ΠΎΡΠ° ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΡΠΎΡΡΠ°Π²Π»ΡΡΡΠΈΡ
ΡΠ»Π΅ΠΌΠ΅Π½ΡΠΎΠ² ΡΡ
Π΅ΠΌΡ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ Π΄Π°Π½Π½ΠΎΠΉ ΡΠ²ΡΠ·ΠΈ. ΠΠ»Ρ ΡΡΠΎΠ³ΠΎ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Ρ ΠΈ ΡΡΠΎΡΠ½Π΅Π½Ρ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡΠΈΠ΅ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΠΈΡΡ Π΄ΠΈΡΠΏΠ΅ΡΡΠΈΡ ΡΠ°Π·ΠΎΠ²ΠΎΠΉ ΠΎΡΠΈΠ±ΠΊΠΈ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ Π°Π΄Π΄ΠΈΡΠΈΠ²Π½ΠΎΠ³ΠΎ Π³Π°ΡΡΡΠΎΠ²ΡΠΊΠΎΠ³ΠΎ ΡΡΠΌΠ° ΠΈ ΠΏΠΎΠ΄Π°Π½ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΠΉ Π°Π»Π³ΠΎΡΠΈΡΠΌ Π΅Π΅ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ.ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π½ΡΠ΅ Π² ΡΠ°Π±ΠΎΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ, ΡΡΠΎ Π²Π΅Π»ΠΈΡΠΈΠ½Π° Π΄ΠΈΡΠΏΠ΅ΡΡΠΈΠΈ ΠΎΡΠΈΠ±ΠΊΠΈ Π΄Π»Ρ ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ ΡΠΈΠ½Ρ
ΡΠΎΠ½ΠΈΠ·Π°ΡΠΈΠΈ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎ ΠΌΠ΅Π½ΡΡΠ΅, ΡΠ΅ΠΌ Π΄Π»Ρ Π·Π°ΠΌΠΊΠ½ΡΡΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ ΡΠΈΠ½Ρ
ΡΠΎΠ½ΠΈΠ·Π°ΡΠΈΠΈ ΠΏΡΠΈ Π»ΡΠ±ΠΎΠΌ Π²ΡΠ±ΠΎΡΠ΅ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΠΏΠΎΡΠ»Π΅Π΄Π½Π΅ΠΉ. ΠΡΡΠ΅ΠΊΡ ΡΠΌΠ΅Π½ΡΡΠ΅Π½ΠΈΡ Π΄ΠΈΡΠΏΠ΅ΡΡΠΈΠΈ ΡΠ°Π·ΠΎΠ²ΠΎΠΉ ΠΎΡΠΈΠ±ΠΊΠΈ Π·Π° ΡΡΠ΅Ρ Π²Π²Π΅Π΄Π΅Π½ΠΈΡ ΡΠ°Π·ΠΎΠΌΠΊΠ½ΡΡΠΎΠΉ ΡΠ²ΡΠ·ΠΈ ΠΏΠΎ Π·Π°Π΄Π°Π½Π½ΠΎΠΌΡ ΡΡΠΎΠ²Π½Ρ Π²Π»ΠΈΡΠ½ΠΈΡ Π·Π°Π²ΠΈΡΠΈΡ ΠΎΡ ΡΡΠΎΠ²Π½Ρ ΡΠΈΠ³Π½Π°Π»Π° ΡΡΠΌΠ° ΠΈ ΠΎΡ ΠΈΠ½Π΄Π΅ΠΊΡΠ° ΠΌΠΎΠ΄ΡΠ»ΡΡΠΈΠΈ ΡΠ°Π·Ρ Π²Ρ
ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΡΠΈΠ³Π½Π°Π»Π°. ΠΡΠΈ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠΈ Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΏΡΠΎΡΡΠΎΠΉ ΡΠ°Π·ΠΎΠΌΠΊΠ½ΡΡΠΎΠΉ ΡΠ²ΡΠ·ΠΈ ΡΠ°ΡΡΠΎΡΠ½ΠΎΠ³ΠΎ Π΄ΠΈΡΠΊΡΠΈΠΌΠΈΠ½Π°ΡΠΎΡΠ°, Π²ΠΊΠ»ΡΡΠ΅Π½Π½ΠΎΠ³ΠΎ Π² ΡΡ
Π΅ΠΌΡ ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ ΡΠΈΠ½Ρ
ΡΠΎΠ½ΠΈΠ·Π°ΡΠΈΠΈ ΠΏΠ°ΡΠ°Π»Π»Π΅Π»ΡΠ½ΠΎ, ΠΌΠΈΠ½ΠΈΠΌΠ°Π»ΡΠ½Π°Ρ Π΄ΠΈΡΠΏΠ΅ΡΡΠΈΡ ΡΠ°Π·ΠΎΠ²ΠΎΠΉ ΠΎΡΠΈΠ±ΠΊΠΈ ΠΏΡΠΈ ΡΠΎΡΡΠ΅ ΡΡΠΎΠ²Π½Ρ ΡΡΠΌΠ° Π΄ΠΎ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΠΉ ΠΊΡΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΎΡΠΊΠΈ ΠΈΠΌΠ΅Π΅Ρ ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½ΠΈΡ. Π Π΄Π°Π½Π½Π°Ρ ΡΠ°Π·ΠΎΠΌΠΊΠ½ΡΡΠ°Ρ ΡΠ²ΡΠ·Ρ ΡΠ΅ΡΡΠ΅Ρ ΡΠ²ΠΎΡ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ.ΠΠ±βΡΠΊΡΠΎΠΌ Π΄ΠΎΡΠ»ΡΠ΄ΠΆΠ΅Π½Π½Ρ Ρ ΠΏΡΠΎΡΠ΅Ρ ΠΎΡΡΠ½ΠΊΠΈ ΠΌΠΎΠΆΠ»ΠΈΠ²ΠΎΡΡΠ΅ΠΉ ΠΊΠΎΠΌΠ±ΡΠ½ΠΎΠ²Π°Π½ΠΎΡ ΡΠΈΡΡΠ΅ΠΌΠΈ ΡΠΈΠ½Ρ
ΡΠΎΠ½ΡΠ·Π°ΡΡΡ Π· ΡΠΎΠ·ΡΠΌΠΊΠ½ΡΡΠΈΠΌ (ΠΊΠΎΠΌΠΏΠ΅Π½ΡΡΡΡΠΈΠΌ) Π·Π²βΡΠ·ΠΊΠΎΠΌ ΡΠΎΠ΄ΠΎ ΠΌΡΠ½ΡΠΌΡΠ·Π°ΡΡΡ Π΄ΠΈΡΠΏΠ΅ΡΡΡΡ ΡΠ°Π·ΠΎΠ²ΠΎΡ ΠΏΠΎΠΌΠΈΠ»ΠΊΠΈ Π² ΡΠΌΠΎΠ²Π°Ρ
Π²ΠΏΠ»ΠΈΠ²Ρ Π°Π΄ΠΈΡΠΈΠ²Π½ΠΎΠ³ΠΎ Π³Π°ΡΡΡΠ²ΡΡΠΊΠΎΠ³ΠΎ ΡΡΠΌΡ. ΠΠΈΡΠ°Π½Π½Ρ ΠΏΡΠ΄Π²ΠΈΡΠ΅Π½Π½Ρ ΡΠΊΠΎΡΡΡ ΡΡΠ½ΠΊΡΡΠΎΠ½ΡΠ²Π°Π½Π½Ρ ΡΠΈΡΡΠ΅ΠΌΠΈ ΡΠ°Π·ΠΎΠ²ΠΎΡ ΡΠΈΠ½Ρ
ΡΠΎΠ½ΡΠ·Π°ΡΡΡ Ρ ΠΏΠΎΡΡΡΠΉΠ½ΠΈΠΌΠΈ Π²Π°ΠΆΠ»ΠΈΠ²ΠΈΠΌΠΈ Π½Π°ΡΠΊΠΎΠ²ΠΈΠΌ Π·Π°Π²Π΄Π°Π½Π½ΡΠΌΠΈ Ρ Π² ΡΡΠ΄Ρ Π΄ΠΎΡΠ»ΡΠ΄ΠΆΠ΅Π½Ρ Π²ΠΈΡΡΡΡΡΡΡΡΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΡΠΎΠ·ΡΠΎΠ±ΠΊΠΈ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ½ΠΈΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ ΡΠ° ΡΡΠ²ΠΎΡΠ΅Π½Π½ΡΠΌ Π½Π° ΡΡ
ΠΎΡΠ½ΠΎΠ²Ρ Π²ΡΠ΄ΠΏΠΎΠ²ΡΠ΄Π½ΠΈΡ
ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΠΈΡ
ΡΡ
Π΅ΠΌ ΠΏΠΎΠ±ΡΠ΄ΠΎΠ²ΠΈ Π²ΠΊΠ°Π·Π°Π½ΠΈΡ
ΡΠΈΡΡΠ΅ΠΌ. ΠΡΠ½ΡΠ΅Π²ΠΈΠΌ Π΅ΡΠ°ΠΏΠΎΠΌ ΡΠΎΠ·ΡΠΎΠ±ΠΊΠΈ ΡΠ° Π²ΠΏΡΠΎΠ²Π°Π΄ΠΆΠ΅Π½Π½Ρ ΡΠ°ΠΊΠΈΡ
ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ½ΠΈΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Π² ΡΠ΅Ρ
Π½ΡΡΠ½Ρ ΡΡΡΠ΅Π½Π½Ρ ΡΠ° ΠΏΠΎΠ±ΡΠ΄ΠΎΠ²Π°Π½ΠΈΡ
Π½Π° ΡΡ
ΠΎΡΠ½ΠΎΠ²Ρ ΡΡ
Π΅ΠΌ ΡΠΈΠ½Ρ
ΡΠΎΠ½ΡΠ·Π°ΡΡΡ Ρ ΠΎΡΡΠ½ΠΊΠ° Π³ΡΠ°Π½ΠΈΡΠ½ΠΈΡ
ΠΌΠΎΠΆΠ»ΠΈΠ²ΠΎΡΡΠ΅ΠΉ Π²ΠΊΠ°Π·Π°Π½ΠΈΡ
ΡΡ
Π΅ΠΌ ΡΠΎΠ΄ΠΎ ΠΌΡΠ½ΡΠΌΡΠ·Π°ΡΡΡ Π΄ΠΈΡΠΏΠ΅ΡΡΡΡ ΡΠ°Π·ΠΎΠ²ΠΎΡ ΠΏΠΎΠΌΠΈΠ»ΠΊΠΈ Π² ΡΠΌΠΎΠ²Π°Ρ
ΡΡΠ·Π½ΠΈΡ
Π²ΠΈΠ΄ΡΠ² ΡΡΠΌΡΠ².Π ΡΠΎΠ±ΠΎΡΡ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΎ ΠΎΡΡΠ½ΠΊΡ ΠΌΠΎΠΆΠ»ΠΈΠ²ΠΎΡΡΠ΅ΠΉ ΠΊΠΎΠΌΠ±ΡΠ½ΠΎΠ²Π°Π½ΠΎΡ ΡΠΈΡΡΠ΅ΠΌΠΈ ΡΠΈΠ½Ρ
ΡΠΎΠ½ΡΠ·Π°ΡΡΡ Π· ΡΠΎΠ·ΡΠΌΠΊΠ½ΡΡΠΈΠΌ (ΠΊΠΎΠΌΠΏΠ΅Π½ΡΡΡΡΠΈΠΌ) Π·Π²βΡΠ·ΠΊΠΎΠΌ ΡΠΎΠ΄ΠΎ ΠΌΡΠ½ΡΠΌΡΠ·Π°ΡΡΡ Π΄ΠΈΡΠΏΠ΅ΡΡΡΡ ΡΠ°Π·ΠΎΠ²ΠΎΡ ΠΏΠΎΠΌΠΈΠ»ΠΊΠΈ Π² ΡΠΌΠΎΠ²Π°Ρ
Π²ΠΏΠ»ΠΈΠ²Ρ Π°Π΄ΠΈΡΠΈΠ²Π½ΠΎΠ³ΠΎ Π³Π°ΡΡΡΠ²ΡΡΠΊΠΎΠ³ΠΎ ΡΡΠΌΡ ΡΠ»ΡΡ
ΠΎΠΌ ΠΏΡΠ΄Π±ΠΎΡΡ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡΠ² ΡΠΊΠ»Π°Π΄ΠΎΠ²ΠΈΡ
Π΅Π»Π΅ΠΌΠ΅Π½ΡΡΠ² ΡΡ
Π΅ΠΌΠΈ ΠΏΠΎΠ±ΡΠ΄ΠΎΠ²ΠΈ Π΄Π°Π½ΠΎΠ³ΠΎ Π·Π²βΡΠ·ΠΊΡ. ΠΠ»Ρ ΡΡΠΎΠ³ΠΎ ΡΠΎΠ·ΡΠΎΠ±Π»Π΅Π½Ρ ΡΠ° ΡΡΠΎΡΠ½Π΅Π½Ρ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ½Ρ Π·Π°Π»Π΅ΠΆΠ½ΠΎΡΡΡ, ΡΠΎ Π΄ΠΎΠ·Π²ΠΎΠ»ΡΡΡΡ Π²ΠΈΠ·Π½Π°ΡΠΈΡΠΈ Π΄ΠΈΡΠΏΠ΅ΡΡΡΡ ΡΠ°Π·ΠΎΠ²ΠΎΡ ΠΏΠΎΠΌΠΈΠ»ΠΊΠΈ Π² ΡΠΌΠΎΠ²Π°Ρ
Π²ΠΏΠ»ΠΈΠ²Ρ Π°Π΄ΠΈΡΠΈΠ²Π½ΠΎΠ³ΠΎ Π³Π°ΡΡΡΠ²ΡΡΠΊΠΎΠ³ΠΎ ΡΡΠΌΡ ΡΠ° ΠΏΠΎΠ΄Π°Π½ΠΎ Π²ΡΠ΄ΠΏΠΎΠ²ΡΠ΄Π½ΠΈΠΉ Π°Π»Π³ΠΎΡΠΈΡΠΌ ΡΡ Π²ΠΈΠ·Π½Π°ΡΠ΅Π½Π½Ρ.ΠΠΎΠ΄Π°Π½Ρ Π² ΡΠΎΠ±ΠΎΡΡ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΈ ΠΎΡΡΠ½ΠΊΠΈ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ, ΡΠΎ Π²Π΅Π»ΠΈΡΠΈΠ½Π° Π΄ΠΈΡΠΏΠ΅ΡΡΡΡ ΠΏΠΎΠΌΠΈΠ»ΠΊΠΈ Π΄Π»Ρ ΠΊΠΎΠΌΠ±ΡΠ½ΠΎΠ²Π°Π½ΠΎΡ ΡΠΈΡΡΠ΅ΠΌΠΈ ΡΠΈΠ½Ρ
ΡΠΎΠ½ΡΠ·Π°ΡΡΡ Π·Π½Π°ΡΠ½ΠΎ ΠΌΠ΅Π½ΡΠ°, Π½ΡΠΆ Π΄Π»Ρ Π·Π°ΠΌΠΊΠ½ΡΡΠΎΡ ΡΠΈΡΡΠ΅ΠΌΠΈ ΡΠΈΠ½Ρ
ΡΠΎΠ½ΡΠ·Π°ΡΡΡ ΠΏΡΠΈ Π±ΡΠ΄Ρ-ΡΠΊΠΎΠΌΡ Π²ΠΈΠ±ΠΎΡΡ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡΠ² ΠΎΡΡΠ°Π½Π½ΡΠΎΡ. ΠΡΠ΅ΠΊΡ Π·ΠΌΠ΅Π½ΡΠ΅Π½Π½Ρ Π΄ΠΈΡΠΏΠ΅ΡΡΡΡ ΡΠ°Π·ΠΎΠ²ΠΎΡ ΠΏΠΎΠΌΠΈΠ»ΠΊΠΈ Π·Π° ΡΠ°Ρ
ΡΠ½ΠΎΠΊ Π²Π²Π΅Π΄Π΅Π½Π½Ρ ΡΠΎΠ·ΡΡΠ²Π°Π½ΠΎΠ³ΠΎ Π·Π²βΡΠ·ΠΊΡ ΠΏΠΎ Π·Π°Π΄Π°Π½ΠΎΠΌΡ ΡΡΠ²Π½Ρ Π²ΠΏΠ»ΠΈΠ²Ρ Π·Π°Π»Π΅ΠΆΠΈΡΡ Π²ΡΠ΄ ΡΡΠ²Π½Ρ ΡΠΈΠ³Π½Π°Π»Ρ ΡΡΠΌΡ ΡΠ° Π²ΡΠ΄ ΡΠ½Π΄Π΅ΠΊΡΡ ΠΌΠΎΠ΄ΡΠ»ΡΡΡΡ ΡΠ°Π·ΠΈ Π²Ρ
ΡΠ΄Π½ΠΎΠ³ΠΎ ΡΠΈΠ³Π½Π°Π»Ρ. ΠΡΠΈ Π·Π°ΡΡΠΎΡΡΠ²Π°Π½Π½Ρ Π² ΡΠΊΠΎΡΡΡ ΠΏΡΠΎΡΡΠΎΠ³ΠΎ ΡΠΎΠ·ΡΡΠ²Π°Π½ΠΎΠ³ΠΎ Π·Π²βΡΠ·ΠΊΡ ΡΠ°ΡΡΠΎΡΠ½ΠΎΠ³ΠΎ Π΄ΠΈΡΠΊΡΠΈΠΌΡΠ½Π°ΡΠΎΡΠ°, Π²ΠΊΠ»ΡΡΠ΅Π½ΠΎΠ³ΠΎ Π² ΡΡ
Π΅ΠΌΡ ΠΊΠΎΠΌΠ±ΡΠ½ΠΎΠ²Π°Π½ΠΎΡ ΡΠΈΡΡΠ΅ΠΌΠΈ ΡΠΈΠ½Ρ
ΡΠΎΠ½ΡΠ·Π°ΡΡΡ ΠΏΠ°ΡΠ°Π»Π΅Π»ΡΠ½ΠΎ, ΠΌΡΠ½ΡΠΌΠ°Π»ΡΠ½Π° Π΄ΠΈΡΠΏΠ΅ΡΡΡΡ ΡΠ°Π·ΠΎΠ²ΠΎΡ ΠΏΠΎΠΌΠΈΠ»ΠΊΠΈ ΠΏΡΠΈ ΡΠΎΡΡΡ ΡΡΠ²Π½Ρ ΡΡΠΌΡ Π΄ΠΎ ΠΏΠ΅Π²Π½ΠΎΡ ΠΊΡΠΈΡΠΈΡΠ½ΠΎΡ ΠΌΠ΅ΠΆΡ ΠΌΠ°Ρ ΠΎΠ±ΠΌΠ΅ΠΆΠ΅Π½Π½Ρ. Π Π΄Π°Π½ΠΈΠΉ ΡΠΎΠ·ΡΡΠ²Π°Π½ΠΈΠΉ Π·Π²'ΡΠ·ΠΎΠΊ Π²ΡΡΠ°ΡΠ°Ρ ΡΠ²ΠΎΡ Π΅ΡΠ΅ΠΊΡΠΈΠ²Π½ΡΡΡΡ
Social work with airports passengers
Social work at the airport is in to offer to passengers social services. The main
methodological position is that people are under stress, which characterized by a
particular set of characteristics in appearance and behavior. In such circumstances
passenger attracts in his actions some attention. Only person whom he trusts can help him
with the documents or psychologically
Digital anthropology
The textbook supplements the lecture material with topical issues of the philosophy of neural technologies. The material belongs to the section "Philosophy of natural science and technology" of the lecture course on the philosophy and methodology of science. The natural-science aspects of human conscious-ness and technological trends in the evolution of convergent structures of digital ecosystems are described. The evolution of system computer engineering is analyzed