62 research outputs found
To study propulsion drives
This paper describes a test bench developed to study and monitor the propulsion drives of electric vehicles at Tallinn University of Technology. The composition and performance of the setup are explained. The charging process of the supercapacitor bank is described as an example of the test bench application. The developed simulation model of the supercapacitor bank is presented and discussed
TEST BENCH WITH SUPERCAPACITOR STORAGE
This paper describes a test bench developed to study and monitor the propulsion drives of electric vehicles at Tallinn University of Technology.Β TheΒ composition and performance of the setup are explained. The charging process of the supercapacitor bank is described as an example of the test bench application. The developed simulation model of the supercapacitor bank is presented and discussed.This paper describes a test bench developed to study and monitor the propulsion drives of electric vehicles at Tallinn University of Technology.Β TheΒ composition and performance of the setup are explained. The charging process of the supercapacitor bank is described as an example of the test bench application. The developed simulation model of the supercapacitor bank is presented and discussed
ΠΠ΅Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΠ΅ Π²ΡΠ΅ΠΌΡΠΈΠΌΠΏΡΠ»ΡΡΠ½ΠΎΠ΅ ΠΏΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠ΅ Π² ΡΠ°Π΄ΠΈΠΎΠΈΠ·ΠΎΡΠΎΠΏΠ½ΡΡ ΠΏΡΠΈΠ±ΠΎΡΠ°Ρ : Π°Π½Π°Π»ΠΈΠ· ΠΈ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ
The paper considers the operation of radioisotope measuring devices under dynamic conditions, when the Poisson pulse flux at the output of the radiation detector becomes unsteady and the nonlinearity of the calibration curve of the device, the stochasticity of the radiation signal and the inertia of the meter significantly complicate the task of estimating the measured physical parameter. of the device and analysis of the possibility of its application for linearization of the characteristics of the device, increasing the speed of the devices and solving the measuring problem in real time.The process of nonlinear transformation of the radiation signal in the system is analyzed on the basis of the assumption about the exponential distribution of the intervals between the pulses of the information flow at the output of the radiation detector. A generalized algorithm for the synthesis of a given transformation function of a time-pulse computing device of a radioisotope device has been developed according to its mathematical description. To describe the transformation function given by a set of points, it is proposed to use its approximation by a power series.The proposed calculation formulas are verified by modeling in the Scilab program on a specific example of linearization of the curve of a radioisotope altimeter with a given tabular calibration characteristic. The results obtained confirm the expediency of using time-pulse computing devices for linearizing the conversion curve of radioisotope devices in real time.Carrying out calculations according to the proposed algorithms by means of modern microelectronics opens up new possibilities for expanding the field of application of radioisotope devices in dynamic problems of industrial flaw detection, measuring the parameters of object movement, thickness of rolled products and coatings, in devices for continuous monitoring of liquid media.Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Π° ΡΠ°Π±ΠΎΡΠ° ΡΠ°Π΄ΠΈΠΎΠΈΠ·ΠΎΡΠΎΠΏΠ½ΡΡ
ΠΈΠ·ΠΌΠ΅ΡΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΠΏΡΠΈΠ±ΠΎΡΠΎΠ² Π² Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ»ΠΎΠ²ΠΈΡΡ
, ΠΊΠΎΠ³Π΄Π° ΠΏΡΠ°ΡΡΠΎΠ½ΠΎΠ²ΡΠΊΠΈΠΉ ΠΏΠΎΡΠΎΠΊ ΠΈΠΌΠΏΡΠ»ΡΡΠΎΠ² Π½Π° Π²ΡΡ
ΠΎΠ΄Π΅ Π΄Π΅ΡΠ΅ΠΊΡΠΎΡΠ° ΠΈΠ·Π»ΡΡΠ΅Π½ΠΈΡ ΡΡΠ°Π½ΠΎΠ²ΠΈΡΡΡ Π½Π΅ΡΡΠ°ΡΠΈΠΎΠ½Π°ΡΠ½ΡΠΌ, Π° Π½Π΅Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΡΡΡ Π³ΡΠ°Π΄ΡΠΈΡΠΎΠ²ΠΎΡΠ½ΠΎΠΉ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΠΏΡΠΈΠ±ΠΎΡΠ°, ΡΡΠΎΡ
Π°ΡΡΠΈΡΠ½ΠΎΡΡΡ ΡΠ°Π΄ΠΈΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΡΠΈΠ³Π½Π°Π»Π° ΠΈ ΠΈΠ½Π΅ΡΡΠΈΠΎΠ½Π½ΠΎΡΡΡ ΠΈΠ·ΠΌΠ΅ΡΠΈΡΠ΅Π»Ρ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ ΡΡΠ»ΠΎΠΆΠ½ΡΡΡ Π·Π°Π΄Π°ΡΡ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΈΠ·ΠΌΠ΅ΡΡΠ΅ΠΌΠΎΠ³ΠΎ ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°. Π¦Π΅Π»ΡΡ ΡΠ°Π±ΠΎΡΡ ΡΠ²Π»ΡΠ»Π°ΡΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ° Π°Π»Π³ΠΎΡΠΈΡΠΌΠΎΠ² Π½Π΅Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΠ³ΠΎ Π²ΡΠ΅ΠΌΡΠΈΠΌΠΏΡΠ»ΡΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ ΠΏΡΠ°ΡΡΠΎΠ½ΠΎΠ²ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ° Π² ΡΡΡΡΠΊΡΡΡΠ΅ ΡΠ°Π΄ΠΈΠΎΠΈΠ·ΠΎΡΠΎΠΏΠ½ΠΎΠ³ΠΎ ΠΏΡΠΈΠ±ΠΎΡΠ° ΠΈ Π°Π½Π°Π»ΠΈΠ· Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ Π΅Π³ΠΎ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ Π΄Π»Ρ Π»ΠΈΠ½Π΅Π°ΡΠΈΠ·Π°ΡΠΈΠΈ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΠΏΡΠΈΠ±ΠΎΡΠ°, ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ Π±ΡΡΡΡΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ ΠΏΡΠΈΠ±ΠΎΡΠΎΠ² ΠΈ ΡΠ΅ΡΠ΅Π½ΠΈΡ ΠΈΠ·ΠΌΠ΅ΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ Π·Π°Π΄Π°ΡΠΈ Π² ΡΠ΅ΠΆΠΈΠΌΠ΅ ΡΠ΅Π°Π»ΡΠ½ΠΎΠ³ΠΎ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ.ΠΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½ ΠΏΡΠΎΡΠ΅ΡΡ Π½Π΅Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΠ³ΠΎ ΠΏΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ ΡΠ°Π΄ΠΈΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΡΠΈΠ³Π½Π°Π»Π° Π² ΡΠΈΡΡΠ΅ΠΌΠ΅ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΏΡΠ΅Π΄ΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΡ ΠΎΠ± ΡΠΊΡΠΏΠΎΠ½Π΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎΠΌ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠΈ ΠΈΠ½ΡΠ΅ΡΠ²Π°Π»ΠΎΠ² ΠΌΠ΅ΠΆΠ΄Ρ ΠΈΠΌΠΏΡΠ»ΡΡΠ°ΠΌΠΈ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΏΠΎΡΠΎΠΊΠ° Π½Π° Π²ΡΡ
ΠΎΠ΄Π΅ Π΄Π΅ΡΠ΅ΠΊΡΠΎΡΠ° ΠΈΠ·Π»ΡΡΠ΅Π½ΠΈΡ. Π Π°Π·ΡΠ°Π±ΠΎΡΠ°Π½ ΠΎΠ±ΠΎΠ±ΡΡΠ½Π½ΡΠΉ Π°Π»Π³ΠΎΡΠΈΡΠΌ ΡΠΈΠ½ΡΠ΅Π·Π° Π·Π°Π΄Π°Π½Π½ΠΎΠΉ ΡΡΠ½ΠΊΡΠΈΠΈ ΠΏΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ Π²ΡΠ΅ΠΌΡΠΈΠΌΠΏΡΠ»ΡΡΠ½ΠΎΠ³ΠΎ Π²ΡΡΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΡΡΡΡΠΎΠΉΡΡΠ²Π° ΡΠ°Π΄ΠΈΠΎΠΈΠ·ΠΎΡΠΎΠΏΠ½ΠΎΠ³ΠΎ ΠΏΡΠΈΠ±ΠΎΡΠ° ΠΏΠΎ Π΅Ρ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΌΡ ΠΎΠΏΠΈΡΠ°Π½ΠΈΡ. ΠΠ»Ρ ΠΎΠΏΠΈΡΠ°Π½ΠΈΡ ΡΡΠ½ΠΊΡΠΈΠΈ ΠΏΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ, Π·Π°Π΄Π°Π½Π½ΠΎΠΉ ΠΌΠ½ΠΎΠΆΠ΅ΡΡΠ²ΠΎΠΌ ΡΠΎΡΠ΅ΠΊ, ΠΏΡΠ΅Π΄Π»Π°Π³Π°Π΅ΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ Π΅Ρ Π°ΠΏΠΏΡΠΎΠΊΡΠΈΠΌΠ°ΡΠΈΡ ΡΡΠ΅ΠΏΠ΅Π½Π½ΡΠΌ ΡΡΠ΄ΠΎΠΌ.ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΡΠ΅ ΡΠ°ΡΡΡΡΠ½ΡΠ΅ ΡΠΎΡΠΌΡΠ»Ρ ΠΏΡΠΎΠ²Π΅ΡΠ΅Π½Ρ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π² ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ΅ Scilab Π½Π° ΠΊΠΎΠ½ΠΊΡΠ΅ΡΠ½ΠΎΠΌ ΠΏΡΠΈΠΌΠ΅ΡΠ΅ Π»ΠΈΠ½Π΅Π°ΡΠΈΠ·Π°ΡΠΈΠΈ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΡΠ°Π΄ΠΈΠΎΠΈΠ·ΠΎΡΠΎΠΏΠ½ΠΎΠ³ΠΎ Π²ΡΡΠΎΡΠΎΠΌΠ΅ΡΠ° Ρ Π·Π°Π΄Π°Π½Π½ΠΎΠΉ ΡΠ°Π±Π»ΠΈΡΠ½ΠΎ Π³ΡΠ°Π΄ΡΠΈΡΠΎΠ²ΠΎΡΠ½ΠΎΠΉ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΎΠΉ. ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π°ΡΡ ΡΠ΅Π»Π΅ΡΠΎΠΎΠ±ΡΠ°Π·Π½ΠΎΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π²ΡΠ΅ΠΌΡΠΈΠΌΠΏΡΠ»ΡΡΠ½ΡΡ
Π²ΡΡΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΡΡΡΡΠΎΠΉΡΡΠ² Π΄Π»Ρ Π»ΠΈΠ½Π΅Π°ΡΠΈΠ·Π°ΡΠΈΠΈ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΠΏΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ ΡΠ°Π΄ΠΈΠΎΠΈΠ·ΠΎΡΠΎΠΏΠ½ΡΡ
ΠΏΡΠΈΠ±ΠΎΡΠΎΠ² Π² ΡΠ΅ΠΆΠΈΠΌΠ΅ ΡΠ΅Π°Π»ΡΠ½ΠΎΠ³ΠΎ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ.ΠΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅ Π²ΡΡΠΈΡΠ»Π΅Π½ΠΈΠΉ ΠΏΠΎ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΡΠΌ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ°ΠΌ ΡΡΠ΅Π΄ΡΡΠ²Π°ΠΌΠΈ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΉ ΠΌΠΈΠΊΡΠΎΡΠ»Π΅ΠΊΡΡΠΎΠ½ΠΈΠΊΠΈ ΠΎΡΠΊΡΡΠ²Π°Π΅Ρ Π½ΠΎΠ²ΡΠ΅ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ Π΄Π»Ρ ΡΠ°ΡΡΠΈΡΠ΅Π½ΠΈΡ ΠΎΠ±Π»Π°ΡΡΠΈ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ ΡΠ°Π΄ΠΈΠΎΠΈΠ·ΠΎΡΠΎΠΏΠ½ΡΡ
ΠΏΡΠΈΠ±ΠΎΡΠΎΠ² Π² Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Π·Π°Π΄Π°ΡΠ°Ρ
ΠΏΡΠΎΠΌΡΡΠ»Π΅Π½Π½ΠΎΠΉ Π΄Π΅ΡΠ΅ΠΊΡΠΎΡΠΊΠΎΠΏΠΈΠΈ, ΠΈΠ·ΠΌΠ΅ΡΠ΅Π½ΠΈΡ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΡ ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ², ΡΠΎΠ»ΡΠΈΠ½Ρ ΠΏΡΠΎΠΊΠ°ΡΠ° ΠΈ ΠΏΠΎΠΊΡΡΡΠΈΠΉ, Π² ΡΡΡΡΠΎΠΉΡΡΠ²Π°Ρ
Π½Π΅ΠΏΡΠ΅ΡΡΠ²Π½ΠΎΠ³ΠΎ ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ ΠΆΠΈΠ΄ΠΊΠΈΡ
ΡΡΠ΅Π΄
Cogito, ergo sum: An electrophysiological investigation of inner speech properties in a sensory attenuation paradigm
Sensory attenuation describes the decrease in the intensity of sensations we produce ourselves compared to externally-generated sensations, even when elicited by physically identical stimuli. This phenomenon is thought to result from the comparison of sensory predictions to sensory feedback. To predict the sensory consequences of self-initiated actions, duplicates of outgoing motor commands are generated by the motor cortex, known as efference copies. Sensory attenuation is hypothesised to occur if the sensory prediction matches the perceived sensation and has been studied in the context of voluntary actions across many modalities, including auditory. This provides an explanation for why our own speech sounds quieter to us than when we hear someone else speaking the same words. The effect is generated by the suppression of the auditory cortex when producing and hearing self- generated speech compared to when passively listening to a recording of the same speech. Auditory cortex suppression can be measured as an amplitude reduction of the N1 component of the auditory evoked potential. Indeed, a large body of literature shows that smaller N1 amplitudes are elicited by self-generated speech compared to external feedback of the same sound. Analogous sensory attenuation has also been found for the silent production of vowels or words in one's mindβinner speech. This subjective experience of language without any overt articulation plays a fundamental role in various cognitive domains and can be seen as an attenuated version of overt speech. Furthermore, inner speech, as a cognitive phenomenon, engages us in thinking through words and is the foundation for introspection, intricately connected to the philosophical realm of consciousness, ultimately epitomised in RenΓ© Descartesβ axiom: Cogito, ergo sum ('I think, therefore I am.'). However, the neural processes underlying inner speech and its sensory suppression mechanisms remain largely unexplored. This warrants further investigation of the precision of sensory attenuation elicited by inner speech and whether it carries specific acoustic properties, such as sex, loudness, accent, tempo, rhythm, timbre, etc. Therefore, we first provided a conceptual framework for the subjective and objective assessment of inner speech (Chapter 2). This is followed by an electrophysiological experiment in which participants silently produce two different types of inner phonemes, concurrently with audible phonemes of female and male sex. These overt phonemes either match or do not match the internally produced phoneme of the participant in content (/BA/ versus /BI/) or sex (Chapter 3). We hypothesised that increased acoustic overlap between inner and audible phoneme (identical content or gender) mediated sensory suppression. Our results showed a general N1 amplitude reduction when producing inner speech (active conditions) compared to passive listening of the sample phonemes. However, neither the same content nor the same sex of inner and audible phoneme led to more sensory suppression, compared to non-matching content or sex, respectively. This suggests that inner speech might not precisely encode the content or sex of the perceived voice. Furthermore, we demonstrated in the same sample that other measures of acoustic overlap between inner and audible phonemes, such as peak frequencies in the sound spectrum, known as formants, do not predict the degree of sensory suppression. More specifically, similar formant values of the participantβs individual phoneme (recorded as their overtly uttered syllable) and the audible phoneme did not mediate N1 amplitude reduction (Chapter 4). These two studies suggest that inner speech may contain more impoverished acoustic properties than overt speech that cannot be captured with techniques commonly used in overt speech. Finally, we showed that the early auditory-evoked gamma-band response, another measure of neural activity, did not effectively track sensory attenuation in our data set and experimental paradigm. More specifically, both measured amplitude and inter-trial phase consistency did not differ between the active inner speech and passive listening conditions (Chapter 5). Our findings provide insight into the mechanisms underlying speech-induced sensory attenuation and pave the way for further research of the neural underpinnings of dysfunctional sensory attenuation and auditory-verbal hallucinations in schizophrenia
Development of the City Public Service Model on the Basis of Integrated Transport Flow Indicators
The problem of modeling public services based on architectural and planning decisions is considered, the role of traffic in the formation of a model of city services is analyzed. An integrated criterion for the quality of public services is proposed. A method has been developed for determining segmented public services taking into account the transport areas of the city, which will make it possible to evenly disperse public service centers. The basis is a socio-planning organization, as a material-spatial system containing anthropogenic and natural components β the territory and institutions where the functional processes that take place in the urban planning environment take place. The described model has certain versatility, and is simultaneously suitable for characterizing various categories of service institutions. Thus, the task of optimizing the quality of public services in the city is reduced to a mathematical model for which, by setting the basic design criteria, the optimal result can be obtained.On the basis of a questionnaire survey and analysis of statistical data, calculation of traffic intensity, the demand and supply of the level of public services Ρre studied. The structural elements of this model: population, territory, transport and service institutions, are in dialectical interaction, which is described by the mathematical model in this study. The model is based on the calculation of the minimum population in the service area, which allows to have i-th type establishments using the social potential method, as well as a graph-analytical method in determining the optimal location of service institutions in the city.As a result of the research, a conceptual model of public services for cities is built, a layout of supermarkets in the territory of Uzhhorod and distribution of service areas of these institutions is proposed. This optimization will ensure uniform domestic servicing of the territory, optimal performance indicators of service establishments and minimum average service radii of points
Π ΠΎΠ·ΡΠΎΠ±ΠΊΠ° ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠΈ Π·Π°Π±Π΅Π·ΠΏΠ΅ΡΠ΅Π½Π½Ρ ΠΏΡΠΎΡΠ΅ΠΊΡΡΠΎΠ½ΡΠ·ΠΌΡ ΠΏΡΠ΄ΠΏΡΠΈΡΠΌΠ½ΠΈΡΡΠ²Π° Π² ΠΊΠΎΠ½ΡΠ΅ΠΊΡΡΡ ΡΡΠ½Π°Π½ΡΠΎΠ²ΠΈΡ ΠΊΠ°ΠΏΡΡΠ°Π»ΠΎΠ²ΠΊΠ»Π°Π΄Π΅Π½Ρ Π· ΠΌΠ΅ΡΠΎΡ ΡΠ΅Π°Π±ΡΠ»ΡΡΠ°ΡΡΡ ΡΡΠ°Π½ΡΠΏΠΎΡΡΠ½ΠΎΠ³ΠΎ ΡΠ΅ΠΊΡΠΎΡΡ
The problem of ensuring entrepreneurship protectionism in the context of financial investments was considered. The need for state entrepreneurship protectionism in order to rehabilitate the transport sector was proved. The conditions for including the sectors of the economy in the category of the most affected by the pandemic in the context of state protectionism were determined. Based on statistics and using the indicators of riskiness and priority of the economic sector, the sectors of the economy for allocation of financial investments were determined. The problem of determining the rate of financial capital investments was stated and solved. A comprehensive procedure for ensuring entrepreneurship protectionism in the context of financial investments for rehabilitation of the transport sector, taking into consideration the riskiness and priority of the economic sector, was proposed.
Since the problem of state protectionism of entrepreneurship during the COVID-19 pandemic challenges is relevant for a number of countries, this procedure was tested on the example of the transport sector of the economy. According to the obtained results, the sectors of the economy that were recognized as the most affected by COVID-19 fall under state protectionism, and the problem of supporting the latter can only be solved through state intervention.
The results of calculations show that the funds at the available amount of public finances S=1 allocated for support are distributed proportionally. The comprehensive approach made it possible to identify three sectors of the economy for financial investments, in this case, those that were most affected by COVID-19 receive the largest share of financial investments.
From the practical point of view, this study is interesting for state administrations during the allocation of funds by the vector of support for the sectors of the economy that were most affected by pandemic challenges, and theoretically β to researchers dealing with financial support, protectionism, and state administrationΠ Π°ΡΡΠΌΠΎΡΡΠ΅Π½Π° ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ° ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ ΠΏΡΠΎΡΠ΅ΠΊΡΠΈΠΎΠ½ΠΈΠ·ΠΌΠ° ΠΏΡΠ΅Π΄ΠΏΡΠΈΠ½ΠΈΠΌΠ°ΡΠ΅Π»ΡΡΡΠ²Π° Π² ΠΊΠΎΠ½ΡΠ΅ΠΊΡΡΠ΅ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
ΠΊΠ°ΠΏΠΈΡΠ°Π»ΠΎΠ²Π»ΠΎΠΆΠ΅Π½ΠΈΠΉ. ΠΠΎΠΊΠ°Π·Π°Π½Π° Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΡ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΠΊΡΠΈΠΎΠ½ΠΈΠ·ΠΌΠ° ΠΏΡΠ΅Π΄ΠΏΡΠΈΠ½ΠΈΠΌΠ°ΡΠ΅Π»ΡΡΡΠ²Π° Ρ ΡΠ΅Π»ΡΡ ΡΠ΅Π°Π±ΠΈΠ»ΠΈΡΠ°ΡΠΈΠΈ ΡΡΠ°Π½ΡΠΏΠΎΡΡΠ½ΠΎΠ³ΠΎ ΡΠ΅ΠΊΡΠΎΡΠ°. ΠΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Ρ ΡΡΠ»ΠΎΠ²ΠΈΡ ΠΎΡΠ½Π΅ΡΠ΅Π½ΠΈΡ ΡΠ΅ΠΊΡΠΎΡΠΎΠ² ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ ΠΊ ΠΊΠ°ΡΠ΅Π³ΠΎΡΠΈΠΈ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΏΠΎΡΡΡΠ°Π΄Π°Π²ΡΠΈΡ
ΠΎΡ ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΠΈ Π² ΠΊΠΎΠ½ΡΠ΅ΠΊΡΡΠ΅ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΠΊΡΠΈΠΎΠ½ΠΈΠ·ΠΌΠ°. ΠΠ° ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠΈ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π΄Π°Π½Π½ΡΡ
ΠΏΠΎ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΡΠΌ ΠΈ Π½Π° ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠΈ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΡΠΈΡΠΊΠΎΠ²Π°Π½Π½ΠΎΡΡΠΈ ΠΈ ΠΏΡΠΈΠΎΡΠΈΡΠ΅ΡΠ½ΠΎΡΡΠΈ ΡΠ΅ΠΊΡΠΎΡΠ° ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Ρ ΡΠ΅ΠΊΡΠΎΡΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ Π΄Π»Ρ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
ΠΊΠ°ΠΏΠΈΡΠ°Π»ΠΎΠ²Π»ΠΎΠΆΠ΅Π½ΠΈΠΉ. Π‘ΡΠΎΡΠΌΡΠ»ΠΈΡΠΎΠ²Π°Π½Π° ΠΈ ΡΠ΅ΡΠ΅Π½Π° Π·Π°Π΄Π°ΡΠ° ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΡΡΠ°Π²ΠΊΠΈ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
ΠΊΠ°ΠΏΠΈΡΠ°Π»ΠΎΠ²Π»ΠΎΠΆΠ΅Π½ΠΈΠΉ. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π° ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½Π°Ρ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ° ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ ΠΏΡΠΎΡΠ΅ΠΊΡΠΈΠΎΠ½ΠΈΠ·ΠΌΠ° ΠΏΡΠ΅Π΄ΠΏΡΠΈΠ½ΠΈΠΌΠ°ΡΠ΅Π»ΡΡΡΠ²Π° Π² ΠΊΠΎΠ½ΡΠ΅ΠΊΡΡΠ΅ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
ΠΊΠ°ΠΏΠΈΡΠ°Π»ΠΎΠ²Π»ΠΎΠΆΠ΅Π½ΠΈΠΉ Ρ ΡΠ΅Π»ΡΡ ΡΠ΅Π°Π±ΠΈΠ»ΠΈΡΠ°ΡΠΈΠΈ ΡΡΠ°Π½ΡΠΏΠΎΡΡΠ½ΠΎΠ³ΠΎ ΡΠ΅ΠΊΡΠΎΡΠ°, ΡΡΠΈΡΡΠ²Π°ΡΡΠΈΠΉ ΡΠΈΡΠΊΠΎΠ²Π°Π½Π½ΠΎΡΡΡ ΠΈ ΠΏΡΠΈΠΎΡΠΈΡΠ΅ΡΠ½ΠΎΡΡΡ ΡΠ΅ΠΊΡΠΎΡΠ° ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ.
ΠΠΎΡΠΊΠΎΠ»ΡΠΊΡ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ° Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΠΊΡΠΈΠΎΠ½ΠΈΠ·ΠΌΠ° ΠΏΡΠ΅Π΄ΠΏΡΠΈΠ½ΠΈΠΌΠ°ΡΠ΅Π»ΡΡΡΠ²Π° Π² ΠΏΠ΅ΡΠΈΠΎΠ΄ ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Π²ΡΠ·ΠΎΠ²ΠΎΠ² COVID-19 Π°ΠΊΡΡΠ°Π»ΡΠ½Π° Π΄Π»Ρ ΡΡΠ΄Π° ΡΡΡΠ°Π½, Π΄Π°Π½Π½Π°Ρ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ° Π±ΡΠ»Π° Π°ΠΏΡΠΎΠ±ΠΈΡΠΎΠ²Π°Π½Π° Π½Π° ΠΏΡΠΈΠΌΠ΅ΡΠ΅ ΡΡΠ°Π½ΡΠΏΠΎΡΡΠ½ΠΎΠ³ΠΎ ΡΠ΅ΠΊΡΠΎΡΠ° ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ.
Π‘ΠΎΠ³Π»Π°ΡΠ½ΠΎ ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΠΌ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ°ΠΌ, ΠΏΠΎΠ΄ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΡΠΉ ΠΏΡΠΎΡΠ΅ΠΊΡΠΈΠΎΠ½ΠΈΠ·ΠΌ ΠΏΠΎΠΏΠ°Π΄Π°ΡΡ ΡΠ΅ΠΊΡΠΎΡΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΏΡΠΈΠ·Π½Π°Π½Ρ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΏΠΎΡΡΡΠ°Π΄Π°Π²ΡΠΈΠΌΠΈ ΠΎΡ COVID-19, Π° ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ° ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΈ ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΡ
ΠΌΠΎΠΆΠ΅Ρ Π±ΡΡΡ ΡΠ΅ΡΠ΅Π½Π° ΡΠΎΠ»ΡΠΊΠΎ Ρ ΠΏΠΎΠΌΠΎΡΡΡ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ Π²ΠΌΠ΅ΡΠ°ΡΠ΅Π»ΡΡΡΠ²Π°.
Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΡΠ°ΡΡΠ΅ΡΠΎΠ² ΠΏΠΎΠΊΠ°Π·ΡΠ²Π°ΡΡ, ΡΡΠΎ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
ΡΡΠ΅Π΄ΡΡΠ² ΠΏΡΠΈ ΠΈΠΌΠ΅ΡΡΠ΅ΠΌΡΡ ΠΎΠ±ΡΠ΅ΠΌΠ΅ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΡΡ
ΡΠΈΠ½Π°Π½ΡΠΎΠ² S = 1, Π²ΡΠ΄Π΅Π»ΡΠ΅ΠΌΡΡ
Π½Π° ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ, ΠΎΡΡΡΠ΅ΡΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΡΠΎΠΏΠΎΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎ. ΠΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΡΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ» ΠΎΠΏΡΠ΅Π΄Π΅Π»ΠΈΡΡ ΡΡΠΈ ΡΠ΅ΠΊΡΠΎΡΠ° ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ Π΄Π»Ρ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
Π²Π»ΠΎΠΆΠ΅Π½ΠΈΠΉ, ΠΏΡΠΈ ΡΡΠΎΠΌ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΏΠΎΡΡΡΠ°Π΄Π°Π²ΡΠΈΠ΅ ΠΎΡ COVID-19 ΠΏΠΎΠ»ΡΡΠ°ΡΡ Π½Π°ΠΈΠ±ΠΎΠ»ΡΡΡΡ Π΄ΠΎΠ»Ρ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
ΠΊΠ°ΠΏΠΈΡΠ°Π»ΠΎΠ²Π»ΠΎΠΆΠ΅Π½ΠΈΠΉ.
ΠΠ°Π½Π½ΠΎΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈ ΠΈΠ½ΡΠ΅ΡΠ΅ΡΠ½ΠΎ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΡΠΌ ΠΎΡΠ³Π°Π½Π°ΠΌ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΏΡΠΈ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠΈ ΡΡΠ΅Π΄ΡΡΠ² ΠΏΠΎ Π²Π΅ΠΊΡΠΎΡΡ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΈ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΏΠΎΡΡΡΠ°Π΄Π°Π²ΡΠΈΡ
ΡΠ΅ΠΊΡΠΎΡΠΎΠ² ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ ΠΎΡ ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Π²ΡΠ·ΠΎΠ²ΠΎΠ², Π° ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈ β ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΠΌ, Π·Π°Π½ΠΈΠΌΠ°ΡΡΠΈΠΌΡΡ Π²ΠΎΠΏΡΠΎΡΠ°ΠΌΠΈ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΠΎΠ³ΠΎ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ, ΠΏΡΠΎΡΠ΅ΠΊΡΠΈΠΎΠ½ΠΈΠ·ΠΌΠ° ΠΈ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ Π°Π΄ΠΌΠΈΠ½ΠΈΡΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΡΠ ΠΎΠ·Π³Π»ΡΠ½ΡΡΠΎ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ Π·Π°Π±Π΅Π·ΠΏΠ΅ΡΠ΅Π½Π½Ρ ΠΏΡΠΎΡΠ΅ΠΊΡΡΠΎΠ½ΡΠ·ΠΌΡ ΠΏΡΠ΄ΠΏΡΠΈΡΠΌΠ½ΠΈΡΡΠ²Π° Π² ΠΊΠΎΠ½ΡΠ΅ΠΊΡΡΡ ΡΡΠ½Π°Π½ΡΠΎΠ²ΠΈΡ
ΠΊΠ°ΠΏΡΡΠ°Π»ΠΎΠ²ΠΊΠ»Π°Π΄Π΅Π½Ρ. ΠΠΎΠ²Π΅Π΄Π΅Π½ΠΎ Π½Π΅ΠΎΠ±Ρ
ΡΠ΄Π½ΡΡΡΡ Π΄Π΅ΡΠΆΠ°Π²Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΠΊΡΡΠΎΠ½ΡΠ·ΠΌΡ ΠΏΡΠ΄ΠΏΡΠΈΡΠΌΠ½ΠΈΡΡΠ²Π° Π· ΠΌΠ΅ΡΠΎΡ ΡΠ΅Π°Π±ΡΠ»ΡΡΠ°ΡΡΡ ΡΡΠ°Π½ΡΠΏΠΎΡΡΠ½ΠΎΠ³ΠΎ ΡΠ΅ΠΊΡΠΎΡΡ. ΠΠΈΠ·Π½Π°ΡΠ΅Π½ΠΎ ΡΠΌΠΎΠ²ΠΈ Π²ΡΠ΄Π½Π΅ΡΠ΅Π½Π½Ρ ΡΠ΅ΠΊΡΠΎΡΡΠ² Π΅ΠΊΠΎΠ½ΠΎΠΌΡΠΊΠΈ Π΄ΠΎ ΠΊΠ°ΡΠ΅Π³ΠΎΡΡΡ Π½Π°ΠΉΠ±ΡΠ»ΡΡ ΠΏΠΎΡΡΡΠ°ΠΆΠ΄Π°Π»ΠΈΡ
Π²ΡΠ΄ ΠΏΠ°Π½Π΄Π΅ΠΌΡΡ Π² ΠΊΠΎΠ½ΡΠ΅ΠΊΡΡΡ Π΄Π΅ΡΠΆΠ°Π²Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΠΊΡΡΠΎΠ½ΡΠ·ΠΌΡ. ΠΠ° ΠΏΡΠ΄ΡΡΠ°Π²Ρ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ½ΠΈΡ
Π΄Π°Π½ΠΈΡ
Π·Π° ΠΏΠΎΠΊΠ°Π·Π½ΠΈΠΊΠ°ΠΌΠΈ Π½Π° ΠΏΡΠ΄ΡΡΠ°Π²Ρ ΠΏΠΎΠΊΠ°Π·Π½ΠΈΠΊΡΠ² ΡΠΈΠ·ΠΈΠΊΠΎΠ²Π°Π½ΠΎΡΡΡ ΡΠ° ΠΏΡΡΠΎΡΡΡΠ΅ΡΠ½ΠΎΡΡΡ ΡΠ΅ΠΊΡΠΎΡΠ° Π΅ΠΊΠΎΠ½ΠΎΠΌΡΠΊΠΈ Π²ΠΈΠ·Π½Π°ΡΠ΅Π½ΠΎ ΡΠ΅ΠΊΡΠΎΡΠΈ Π΅ΠΊΠΎΠ½ΠΎΠΌΡΠΊΠΈ Π΄Π»Ρ ΡΠΎΠ·ΠΏΠΎΠ΄ΡΠ»Ρ ΡΡΠ½Π°Π½ΡΠΎΠ²ΠΈΡ
ΠΊΠ°ΠΏΡΡΠ°Π»ΠΎΠ²ΠΊΠ»Π°Π΄Π΅Π½Ρ. Π‘ΡΠΎΡΠΌΡΠ»ΡΠΎΠ²Π°Π½ΠΎ ΡΠ° Π²ΠΈΡΡΡΠ΅Π½ΠΎ Π·Π°Π΄Π°ΡΡ Π²ΠΈΠ·Π½Π°ΡΠ΅Π½Π½Ρ ΡΡΠ°Π²ΠΊΠΈ ΡΡΠ½Π°Π½ΡΠΎΠ²ΠΈΡ
ΠΊΠ°ΠΏΡΡΠ°Π»ΠΎΠ²ΠΊΠ»Π°Π΄Π΅Π½Ρ. ΠΠ°ΠΏΡΠΎΠΏΠΎΠ½ΠΎΠ²Π°Π½ΠΎ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½Ρ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΡ Π·Π°Π±Π΅Π·ΠΏΠ΅ΡΠ΅Π½Π½Ρ ΠΏΡΠΎΡΠ΅ΠΊΡΡΠΎΠ½ΡΠ·ΠΌΡ ΠΏΡΠ΄ΠΏΡΠΈΡΠΌΠ½ΠΈΡΡΠ²Π° Π² ΠΊΠΎΠ½ΡΠ΅ΠΊΡΡΡ ΡΡΠ½Π°Π½ΡΠΎΠ²ΠΈΡ
ΠΊΠ°ΠΏΡΡΠ°Π»ΠΎΠ²ΠΊΠ»Π°Π΄Π΅Π½Ρ Π· ΠΌΠ΅ΡΠΎΡ ΡΠ΅Π°Π±ΡΠ»ΡΡΠ°ΡΡΡ ΡΡΠ°Π½ΡΠΏΠΎΡΡΠ½ΠΎΠ³ΠΎ ΡΠ΅ΠΊΡΠΎΡΡ, ΡΠΎ Π²ΡΠ°Ρ
ΠΎΠ²ΡΡ ΡΠΈΠ·ΠΈΠΊΠΎΠ²Π°Π½ΡΡΡΡ ΡΠ° ΠΏΡΡΠΎΡΡΡΠ΅ΡΠ½ΡΡΡΡ ΡΠ΅ΠΊΡΠΎΡΠ° Π΅ΠΊΠΎΠ½ΠΎΠΌΡΠΊΠΈ.
ΠΡΠΊΡΠ»ΡΠΊΠΈ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ° Π΄Π΅ΡΠΆΠ°Π²Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΠΊΡΡΠΎΠ½ΡΠ·ΠΌΡ ΠΏΡΠ΄ΠΏΡΠΈΡΠΌΠ½ΠΈΡΡΠ²Π° Π² ΠΏΠ΅ΡΡΠΎΠ΄ ΠΏΠ°Π½Π΄Π΅ΠΌΡΡΠ½ΠΈΡ
Π²ΠΈΠΊΠ»ΠΈΠΊΡΠ² COVID-19 Π°ΠΊΡΡΠ°Π»ΡΠ½Π° Π΄Π»Ρ ΡΡΠ΄Ρ ΠΊΡΠ°ΡΠ½, Π΄Π°Π½Π° ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ° Π±ΡΠ»Π° Π°ΠΏΡΠΎΠ±ΠΎΠ²Π°Π½Π° Π½Π° ΠΏΡΠΈΠΊΠ»Π°Π΄Ρ ΡΡΠ°Π½ΡΠΏΠΎΡΡΠ½ΠΎΠ³ΠΎ ΡΠ΅ΠΊΡΠΎΡΡ Π΅ΠΊΠΎΠ½ΠΎΠΌΡΠΊΠΈ. ΠΠ³ΡΠ΄Π½ΠΎ Π· ΠΎΡΡΠΈΠΌΠ°Π½ΠΈΠΌΠΈ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ°ΠΌΠΈ ΠΏΡΠ΄ Π΄Π΅ΡΠΆΠ°Π²Π½ΠΈΠΉ ΠΏΡΠΎΡΠ΅ΠΊΡΡΠΎΠ½ΡΠ·ΠΌ ΠΏΠΎΡΡΠ°ΠΏΠ»ΡΡΡΡ ΡΠ΅ΠΊΡΠΎΡΠΈ Π΅ΠΊΠΎΠ½ΠΎΠΌΡΠΊΠΈ, ΡΠΊΡ Π²ΠΈΠ·Π½Π°Π½Ρ Π½Π°ΠΉΠ±ΡΠ»ΡΡ ΠΏΠΎΡΡΡΠ°ΠΆΠ΄Π°Π»ΠΈΠΌΠΈ Π²ΡΠ΄ COVID-19, Π° ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ° ΠΏΡΠ΄ΡΡΠΈΠΌΠΊΠΈ ΠΎΡΡΠ°Π½Π½ΡΡ
ΠΌΠΎΠΆΠ΅ Π±ΡΡΠΈ Π²ΠΈΡΡΡΠ΅Π½Π° ΡΡΠ»ΡΠΊΠΈ Π·Π° Π΄ΠΎΠΏΠΎΠΌΠΎΠ³ΠΎΡ Π΄Π΅ΡΠΆΠ°Π²Π½ΠΎΠ³ΠΎ Π²ΡΡΡΡΠ°Π½Π½Ρ.
Π Π΅Π·ΡΠ»ΡΡΠ°ΡΠΈ ΡΠΎΠ·ΡΠ°Ρ
ΡΠ½ΠΊΡΠ² ΠΏΠΎΠΊΠ°Π·ΡΡΡΡ, ΡΠΎ ΡΠΎΠ·ΠΏΠΎΠ΄ΡΠ» ΡΡΠ½Π°Π½ΡΠΎΠ²ΠΈΡ
ΠΊΠΎΡΡΡΠ² ΠΏΡΠΈ Π½Π°ΡΠ²Π½ΠΎΠΌΡ ΠΎΠ±ΡΡΠ·Ρ Π΄Π΅ΡΠΆΠ°Π²Π½ΠΈΡ
ΡΡΠ½Π°Π½ΡΡΠ² S=1, ΡΠΎ Π²ΠΈΠ΄ΡΠ»ΡΡΡΡΡΡ Π½Π° ΠΏΡΠ΄ΡΡΠΈΠΌΠΊΡ, Π·Π΄ΡΠΉΡΠ½ΡΡΡΡΡΡ ΠΏΡΠΎΠΏΠΎΡΡΡΠΉΠ½ΠΎ. ΠΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΠΈΠΉ ΠΏΡΠ΄Ρ
ΡΠ΄ Π΄ΠΎΠ·Π²ΠΎΠ»ΠΈΠ² Π²ΠΈΠ·Π½Π°ΡΠΈΡΠΈ ΡΡΠΈ ΡΠ΅ΠΊΡΠΎΡΠΈ Π΅ΠΊΠΎΠ½ΠΎΠΌΡΠΊΠΈ Π΄Π»Ρ ΡΡΠ½Π°Π½ΡΠΎΠ²ΠΈΡ
ΠΊΠ°ΠΏΡΡΠ°Π»ΠΎΠ²ΠΊΠ»Π°Π΄Π΅Π½Ρ, ΠΏΡΠΈ ΡΡΠΎΠΌΡ Π½Π°ΠΉΠ±ΡΠ»ΡΡ ΠΏΠΎΡΡΡΠ°ΠΆΠ΄Π°Π»Ρ Π²ΡΠ΄ COVID-19 ΠΎΡΡΠΈΠΌΡΡΡΡ Π½Π°ΠΉΠ±ΡΠ»ΡΡΡ ΡΠ°ΡΡΠΊΡ ΡΡΠ½Π°Π½ΡΠΎΠ²ΠΈΡ
ΠΊΠ°ΠΏΡΡΠ°Π»ΠΎΠ²ΠΊΠ»Π°Π΄Π΅Π½Ρ.
ΠΠ°Π½Π΅ Π΄ΠΎΡΠ»ΡΠ΄ΠΆΠ΅Π½Π½Ρ ΠΏΡΠ°ΠΊΡΠΈΡΠ½ΠΎ ΡΡΠΊΠ°Π²ΠΎ Π΄Π΅ΡΠΆΠ°Π²Π½ΠΈΠΌ ΠΎΡΠ³Π°Π½Π°ΠΌ ΡΠΏΡΠ°Π²Π»ΡΠ½Π½Ρ ΠΏΡΠΈ ΡΠΎΠ·ΠΏΠΎΠ΄ΡΠ»Ρ ΠΊΠΎΡΡΡΠ² Π·Π° Π²Π΅ΠΊΡΠΎΡΠΎΠΌ ΠΏΡΠ΄ΡΡΠΈΠΌΠΊΠΈ Π½Π°ΠΉΠ±ΡΠ»ΡΡ ΠΏΠΎΡΡΡΠ°ΠΆΠ΄Π°Π»ΠΈΡ
ΡΠ΅ΠΊΡΠΎΡΡΠ² Π΅ΠΊΠΎΠ½ΠΎΠΌΡΠΊΠΈ Π²ΡΠ΄ ΠΏΠ°Π½Π΄Π΅ΠΌΡΡΠ½ΠΈΡ
Π²ΠΈΠΊΠ»ΠΈΠΊΡΠ², Π° ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ½ΠΎ β Π΄ΠΎΡΠ»ΡΠ΄Π½ΠΈΠΊΠ°ΠΌ, ΡΠΎ Π·Π°ΠΉΠΌΠ°ΡΡΡΡΡ ΠΏΠΈΡΠ°Π½Π½ΡΠΌΠΈ ΡΡΠ½Π°Π½ΡΠΎΠ²ΠΎΠ³ΠΎ Π·Π°Π±Π΅Π·ΠΏΠ΅ΡΠ΅Π½Π½Ρ, ΠΏΡΠΎΡΠ΅ΠΊΡΡΠΎΠ½ΡΠ·ΠΌΡ ΡΠ° Π΄Π΅ΡΠΆΠ°Π²Π½ΠΎΠ³ΠΎ Π°Π΄ΠΌΡΠ½ΡΡΡΡΡΠ²Π°Π½Π½
DEVELOPMENT OF THE CITY PUBLIC SERVICE MODEL ON THE BASIS OF INTEGRATED TRANSPORT FLOW INDICATORS
The problem of modeling public services based on architectural and planning decisions is considered, the role of traffic in the formation of a model of city services is analyzed. An integrated criterion for the quality of public services is proposed. A method has been developed for determining segmented public services taking into account the transport areas of the city, which will make it possible to evenly disperse public service centers. The basis is a socio-planning organization, as a material-spatial system containing anthropogenic and natural components β the territory and institutions where the functional processes that take place in the urban planning environment take place. The described model has certain versatility, and is simultaneously suitable for characterizing various categories of service institutions. Thus, the task of optimizing the quality of public services in the city is reduced to a mathematical model for which, by setting the basic design criteria, the optimal result can be obtained.
On the basis of a questionnaire survey and analysis of statistical data, calculation of traffic intensity, the demand and supply of the level of public services Ρre studied. The structural elements of this model: population, territory, transport and service institutions, are in dialectical interaction, which is described by the mathematical model in this study. The model is based on the calculation of the minimum population in the service area, which allows to have i-th type establishments using the social potential method, as well as a graph-analytical method in determining the optimal location of service institutions in the city.
As a result of the research, a conceptual model of public services for cities is built, a layout of supermarkets in the territory of Uzhhorod and distribution of service areas of these institutions is proposed. This optimization will ensure uniform domestic servicing of the territory, optimal performance indicators of service establishments and minimum average service radii of points
The Model of Extracurricular Work with Students of Engineering Specialties
The subject of the research is the analysis of the development experience and the first phase of implementation of the model of extracurricular work with students of engineering specialties at Chernihiv National University of Technology (Ukraine), which was developed on the basis of the author's methodology ALM (active learning methods) at Tallinn University of Technology (Estonia) in combination with forms and methods of extracurricular work. The purpose of this model is to promote the enhancement of the motivation of students in engineering specialΡties to succeed in learning. The main task of the research is to evaluate the readiness of students of engineering specialΡties to participate in extracurricular activities and their awareness of the forms and methods of extracurricular work, the analysis of the first results of the implementation of the model of extracurricular work of students of engineering specialΡties. For the observing stage of the experiment, such methods were used as theoretical, empirical, pedagogical experiment, mathematical and statistical methods. Participants were 92 students of the 3rd year of engineering specialΡties of Chernihiv National University of Technology. Most students (82%) believe that extracurricular work has an impact on the formation of the individual and on the professional growth of a future specialist. The motivation for success among most respondents (73%) is average, 33% of respondents are not very good interlocutors who have shortcomings in communication; 60% have an average level of communication skills, 58% of respondents need to build self-confidence. Based on the received results from the questionnaire and tests carried out among students, a model of extracurricular work with students of engineering specialΡties has been developed. The first stage of the implementation of this model has shown a positive dynamics. The model requires further testing and research of the impact on the studentsβpersonality
Design and simulation of the robust ABS and ESP fuzzy logic controller on the complex braking maneuvers
Automotive driving safety systems such as an anti-lock braking system (ABS) and an electronic stability program (ESP) assist drivers in controlling the vehicle to avoid road accidents. In this paper, ABS and the ESP, based on the fuzzy logic theory, are integrated for vehicle stability control in complex braking maneuvers. The proposed control algorithm is implemented for a sport utility vehicle (SUV) and investigated for braking on different surfaces. The results obtained for the vehicle software simulator confirm the robustness of the developed control strategy for a variety of road profiles and surfaces
DEVELOPMENT OF THE CITY PUBLIC SERVICE MODEL ON THE BASIS OF INTEGRATED TRANSPORT FLOW INDICATORS
The problem of modeling public services based on architectural and planning decisions is considered, the role of traffic in the formation of a model of city services is analyzed. An integrated criterion for the quality of public services is proposed. A method has been developed for determining segmented public services taking into account the transport areas of the city, which will make it possible to evenly disperse public service centers. The basis is a socio-planning organization, as a material-spatial system containing anthropogenic and natural components β the territory and institutions where the functional processes that take place in the urban planning environment take place. The described model has certain versatility, and is simultaneously suitable for characterizing various categories of service institutions. Thus, the task of optimizing the quality of public services in the city is reduced to a mathematical model for which, by setting the basic design criteria, the optimal result can be obtained.On the basis of a questionnaire survey and analysis of statistical data, calculation of traffic intensity, the demand and supply of the level of public services Ρre studied. The structural elements of this model: population, territory, transport and service institutions, are in dialectical interaction, which is described by the mathematical model in this study. The model is based on the calculation of the minimum population in the service area, which allows to have i-th type establishments using the social potential method, as well as a graph-analytical method in determining the optimal location of service institutions in the city.As a result of the research, a conceptual model of public services for cities is built, a layout of supermarkets in the territory of Uzhhorod and distribution of service areas of these institutions is proposed. This optimization will ensure uniform domestic servicing of the territory, optimal performance indicators of service establishments and minimum average service radii of points
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