62 research outputs found

    To study propulsion drives

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    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

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    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

    НСлинСйноС Π²Ρ€Π΅ΠΌΡΠΈΠΌΠΏΡƒΠ»ΡŒΡΠ½ΠΎΠ΅ ΠΏΡ€Π΅ΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Π½ΠΈΠ΅ Π² Ρ€Π°Π΄ΠΈΠΎΠΈΠ·ΠΎΡ‚ΠΎΠΏΠ½Ρ‹Ρ… ΠΏΡ€ΠΈΠ±ΠΎΡ€Π°Ρ…: Π°Π½Π°Π»ΠΈΠ· ΠΈ возмоТности примСнСния

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    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.РассмотрСна Ρ€Π°Π±ΠΎΡ‚Π° Ρ€Π°Π΄ΠΈΠΎΠΈΠ·ΠΎΡ‚ΠΎΠΏΠ½Ρ‹Ρ… ΠΈΠ·ΠΌΠ΅Ρ€ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… ΠΏΡ€ΠΈΠ±ΠΎΡ€ΠΎΠ² Π² динамичСских условиях, ΠΊΠΎΠ³Π΄Π° пуассоновский ΠΏΠΎΡ‚ΠΎΠΊ ΠΈΠΌΠΏΡƒΠ»ΡŒΡΠΎΠ² Π½Π° Π²Ρ‹Ρ…ΠΎΠ΄Π΅ Π΄Π΅Ρ‚Π΅ΠΊΡ‚ΠΎΡ€Π° излучСния становится нСстационарным, Π° Π½Π΅Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΡΡ‚ΡŒ Π³Ρ€Π°Π΄ΡƒΠΈΡ€ΠΎΠ²ΠΎΡ‡Π½ΠΎΠΉ характСристики ΠΏΡ€ΠΈΠ±ΠΎΡ€Π°, ΡΡ‚ΠΎΡ…Π°ΡΡ‚ΠΈΡ‡Π½ΠΎΡΡ‚ΡŒ Ρ€Π°Π΄ΠΈΠ°Ρ†ΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ сигнала ΠΈ ΠΈΠ½Π΅Ρ€Ρ†ΠΈΠΎΠ½Π½ΠΎΡΡ‚ΡŒ измСритСля сущСствСнно ΡƒΡΠ»ΠΎΠΆΠ½ΡΡŽΡ‚ Π·Π°Π΄Π°Ρ‡Ρƒ ΠΎΡ†Π΅Π½ΠΊΠΈ измСряСмого физичСского ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Π°. ЦСлью Ρ€Π°Π±ΠΎΡ‚Ρ‹ являлась Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠ° Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠΎΠ² Π½Π΅Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΠ³ΠΎ Π²Ρ€Π΅ΠΌΡΠΈΠΌΠΏΡƒΠ»ΡŒΡΠ½ΠΎΠ³ΠΎ прСобразования пуассоновского процСсса Π² структурС Ρ€Π°Π΄ΠΈΠΎΠΈΠ·ΠΎΡ‚ΠΎΠΏΠ½ΠΎΠ³ΠΎ ΠΏΡ€ΠΈΠ±ΠΎΡ€Π° ΠΈ Π°Π½Π°Π»ΠΈΠ· возмоТности Π΅Π³ΠΎ примСнСния для Π»ΠΈΠ½Π΅Π°Ρ€ΠΈΠ·Π°Ρ†ΠΈΠΈ характСристики ΠΏΡ€ΠΈΠ±ΠΎΡ€Π°, ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΡ быстродСйствия ΠΏΡ€ΠΈΠ±ΠΎΡ€ΠΎΠ² ΠΈ Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ ΠΈΠ·ΠΌΠ΅Ρ€ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΉ Π·Π°Π΄Π°Ρ‡ΠΈ Π² Ρ€Π΅ΠΆΠΈΠΌΠ΅ Ρ€Π΅Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ Π²Ρ€Π΅ΠΌΠ΅Π½ΠΈ.ΠŸΡ€ΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½ процСсс Π½Π΅Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΠ³ΠΎ прСобразования Ρ€Π°Π΄ΠΈΠ°Ρ†ΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ сигнала Π² систСмС Π½Π° основС прСдполоТСния ΠΎΠ± ΡΠΊΡΠΏΠΎΠ½Π΅Π½Ρ†ΠΈΠ°Π»ΡŒΠ½ΠΎΠΌ распрСдСлСнии ΠΈΠ½Ρ‚Π΅Ρ€Π²Π°Π»ΠΎΠ² ΠΌΠ΅ΠΆΠ΄Ρƒ ΠΈΠΌΠΏΡƒΠ»ΡŒΡΠ°ΠΌΠΈ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΏΠΎΡ‚ΠΎΠΊΠ° Π½Π° Π²Ρ‹Ρ…ΠΎΠ΄Π΅ Π΄Π΅Ρ‚Π΅ΠΊΡ‚ΠΎΡ€Π° излучСния. Π Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½ ΠΎΠ±ΠΎΠ±Ρ‰Ρ‘Π½Π½Ρ‹ΠΉ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌ синтСза Π·Π°Π΄Π°Π½Π½ΠΎΠΉ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΈ прСобразования Π²Ρ€Π΅ΠΌΡΠΈΠΌΠΏΡƒΠ»ΡŒΡΠ½ΠΎΠ³ΠΎ Π²Ρ‹Ρ‡ΠΈΡΠ»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ устройства Ρ€Π°Π΄ΠΈΠΎΠΈΠ·ΠΎΡ‚ΠΎΠΏΠ½ΠΎΠ³ΠΎ ΠΏΡ€ΠΈΠ±ΠΎΡ€Π° ΠΏΠΎ Π΅Ρ‘ матСматичСскому описанию. Для описания Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΈ прСобразования, Π·Π°Π΄Π°Π½Π½ΠΎΠΉ мноТСством Ρ‚ΠΎΡ‡Π΅ΠΊ, прСдлагаСтся ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Ρ‚ΡŒ Π΅Ρ‘ Π°ΠΏΠΏΡ€ΠΎΠΊΡΠΈΠΌΠ°Ρ†ΠΈΡŽ стСпСнным рядом.ΠŸΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½Π½Ρ‹Π΅ расчётныС Ρ„ΠΎΡ€ΠΌΡƒΠ»Ρ‹ ΠΏΡ€ΠΎΠ²Π΅Ρ€Π΅Π½Ρ‹ ΠΌΠΎΠ΄Π΅Π»ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π² ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠ΅ Scilab Π½Π° ΠΊΠΎΠ½ΠΊΡ€Π΅Ρ‚Π½ΠΎΠΌ ΠΏΡ€ΠΈΠΌΠ΅Ρ€Π΅ Π»ΠΈΠ½Π΅Π°Ρ€ΠΈΠ·Π°Ρ†ΠΈΠΈ характСристики Ρ€Π°Π΄ΠΈΠΎΠΈΠ·ΠΎΡ‚ΠΎΠΏΠ½ΠΎΠ³ΠΎ высотомСра с Π·Π°Π΄Π°Π½Π½ΠΎΠΉ Ρ‚Π°Π±Π»ΠΈΡ‡Π½ΠΎ Π³Ρ€Π°Π΄ΡƒΠΈΡ€ΠΎΠ²ΠΎΡ‡Π½ΠΎΠΉ характСристикой. ΠŸΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Π΅ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ ΠΏΠΎΠ΄Ρ‚Π²Π΅Ρ€ΠΆΠ΄Π°ΡŽΡ‚ Ρ†Π΅Π»Π΅ΡΠΎΠΎΠ±Ρ€Π°Π·Π½ΠΎΡΡ‚ΡŒ использования Π²Ρ€Π΅ΠΌΡΠΈΠΌΠΏΡƒΠ»ΡŒΡΠ½Ρ‹Ρ… Π²Ρ‹Ρ‡ΠΈΡΠ»ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… устройств для Π»ΠΈΠ½Π΅Π°Ρ€ΠΈΠ·Π°Ρ†ΠΈΠΈ характСристики прСобразования Ρ€Π°Π΄ΠΈΠΎΠΈΠ·ΠΎΡ‚ΠΎΠΏΠ½Ρ‹Ρ… ΠΏΡ€ΠΈΠ±ΠΎΡ€ΠΎΠ² Π² Ρ€Π΅ΠΆΠΈΠΌΠ΅ Ρ€Π΅Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ Π²Ρ€Π΅ΠΌΠ΅Π½ΠΈ.ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅ вычислСний ΠΏΠΎ ΠΏΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½Π½Ρ‹ΠΌ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠ°ΠΌ срСдствами соврСмСнной микроэлСктроники ΠΎΡ‚ΠΊΡ€Ρ‹Π²Π°Π΅Ρ‚ Π½ΠΎΠ²Ρ‹Π΅ возмоТности для Ρ€Π°ΡΡˆΠΈΡ€Π΅Π½ΠΈΡ области примСнСния Ρ€Π°Π΄ΠΈΠΎΠΈΠ·ΠΎΡ‚ΠΎΠΏΠ½Ρ‹Ρ… ΠΏΡ€ΠΈΠ±ΠΎΡ€ΠΎΠ² Π² динамичСских Π·Π°Π΄Π°Ρ‡Π°Ρ… ΠΏΡ€ΠΎΠΌΡ‹ΡˆΠ»Π΅Π½Π½ΠΎΠΉ дСфСктоскопии, измСрСния ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² двиТСния ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ², Ρ‚ΠΎΠ»Ρ‰ΠΈΠ½Ρ‹ ΠΏΡ€ΠΎΠΊΠ°Ρ‚Π° ΠΈ ΠΏΠΎΠΊΡ€Ρ‹Ρ‚ΠΈΠΉ, Π² устройствах Π½Π΅ΠΏΡ€Π΅Ρ€Ρ‹Π²Π½ΠΎΠ³ΠΎ контроля ΠΆΠΈΠ΄ΠΊΠΈΡ… срСд

    Cogito, ergo sum: An electrophysiological investigation of inner speech properties in a sensory attenuation paradigm

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    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 mind–inner 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© Descartes’ 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 participant’s 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

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    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 – 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 Ρ„re 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·Ρ€ΠΎΠ±ΠΊΠ° ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠΈ забСзпСчСння ΠΏΡ€ΠΎΡ‚Π΅ΠΊΡ†Ρ–ΠΎΠ½Ρ–Π·ΠΌΡƒ ΠΏΡ–Π΄ΠΏΡ€ΠΈΡ”ΠΌΠ½ΠΈΡ†Ρ‚Π²Π° Π² контСксті фінансових ΠΊΠ°ΠΏΡ–Ρ‚Π°Π»ΠΎΠ²ΠΊΠ»Π°Π΄Π΅Π½ΡŒ Π· ΠΌΠ΅Ρ‚ΠΎΡŽ Ρ€Π΅Π°Π±Ρ–Π»Ρ–Ρ‚Π°Ρ†Ρ–Ρ— транспортного сСктору

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    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 – to researchers dealing with financial support, protectionism, and state administrationРассмотрСна ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠ° обСспСчСния ΠΏΡ€ΠΎΡ‚Π΅ΠΊΡ†ΠΈΠΎΠ½ΠΈΠ·ΠΌΠ° ΠΏΡ€Π΅Π΄ΠΏΡ€ΠΈΠ½ΠΈΠΌΠ°Ρ‚Π΅Π»ΡŒΡΡ‚Π²Π° Π² контСкстС финансовых ΠΊΠ°ΠΏΠΈΡ‚Π°Π»ΠΎΠ²Π»ΠΎΠΆΠ΅Π½ΠΈΠΉ. Π”ΠΎΠΊΠ°Π·Π°Π½Π° Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎΡΡ‚ΡŒ государствСнного ΠΏΡ€ΠΎΡ‚Π΅ΠΊΡ†ΠΈΠΎΠ½ΠΈΠ·ΠΌΠ° ΠΏΡ€Π΅Π΄ΠΏΡ€ΠΈΠ½ΠΈΠΌΠ°Ρ‚Π΅Π»ΡŒΡΡ‚Π²Π° с Ρ†Π΅Π»ΡŒΡŽ Ρ€Π΅Π°Π±ΠΈΠ»ΠΈΡ‚Π°Ρ†ΠΈΠΈ транспортного сСктора. ΠžΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½Ρ‹ условия отнСсСния сСкторов экономики ΠΊ ΠΊΠ°Ρ‚Π΅Π³ΠΎΡ€ΠΈΠΈ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΏΠΎΡΡ‚Ρ€Π°Π΄Π°Π²ΡˆΠΈΡ… ΠΎΡ‚ ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΠΈ Π² контСкстС государствСнного ΠΏΡ€ΠΎΡ‚Π΅ΠΊΡ†ΠΈΠΎΠ½ΠΈΠ·ΠΌΠ°. На основании статистичСских Π΄Π°Π½Π½Ρ‹Ρ… ΠΏΠΎ показатСлям ΠΈ Π½Π° основании ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ рискованности ΠΈ приоритСтности сСктора экономики ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½Ρ‹ сСкторы экономики для распрСдСлСния финансовых ΠΊΠ°ΠΏΠΈΡ‚Π°Π»ΠΎΠ²Π»ΠΎΠΆΠ΅Π½ΠΈΠΉ. Π‘Ρ„ΠΎΡ€ΠΌΡƒΠ»ΠΈΡ€ΠΎΠ²Π°Π½Π° ΠΈ Ρ€Π΅ΡˆΠ΅Π½Π° Π·Π°Π΄Π°Ρ‡Π° опрСдСлСния ставки финансовых ΠΊΠ°ΠΏΠΈΡ‚Π°Π»ΠΎΠ²Π»ΠΎΠΆΠ΅Π½ΠΈΠΉ. ΠŸΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½Π° комплСксная ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠ° обСспСчСния ΠΏΡ€ΠΎΡ‚Π΅ΠΊΡ†ΠΈΠΎΠ½ΠΈΠ·ΠΌΠ° ΠΏΡ€Π΅Π΄ΠΏΡ€ΠΈΠ½ΠΈΠΌΠ°Ρ‚Π΅Π»ΡŒΡΡ‚Π²Π° Π² контСкстС финансовых ΠΊΠ°ΠΏΠΈΡ‚Π°Π»ΠΎΠ²Π»ΠΎΠΆΠ΅Π½ΠΈΠΉ с Ρ†Π΅Π»ΡŒΡŽ Ρ€Π΅Π°Π±ΠΈΠ»ΠΈΡ‚Π°Ρ†ΠΈΠΈ транспортного сСктора, ΡƒΡ‡ΠΈΡ‚Ρ‹Π²Π°ΡŽΡ‰ΠΈΠΉ Ρ€ΠΈΡΠΊΠΎΠ²Π°Π½Π½ΠΎΡΡ‚ΡŒ ΠΈ ΠΏΡ€ΠΈΠΎΡ€ΠΈΡ‚Π΅Ρ‚Π½ΠΎΡΡ‚ΡŒ сСктора экономики. ΠŸΠΎΡΠΊΠΎΠ»ΡŒΠΊΡƒ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠ° государствСнного ΠΏΡ€ΠΎΡ‚Π΅ΠΊΡ†ΠΈΠΎΠ½ΠΈΠ·ΠΌΠ° ΠΏΡ€Π΅Π΄ΠΏΡ€ΠΈΠ½ΠΈΠΌΠ°Ρ‚Π΅Π»ΡŒΡΡ‚Π²Π° Π² ΠΏΠ΅Ρ€ΠΈΠΎΠ΄ пандСмичСских Π²Ρ‹Π·ΠΎΠ²ΠΎΠ² COVID-19 Π°ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Π° для ряда стран, данная ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠ° Π±Ρ‹Π»Π° Π°ΠΏΡ€ΠΎΠ±ΠΈΡ€ΠΎΠ²Π°Π½Π° Π½Π° ΠΏΡ€ΠΈΠΌΠ΅Ρ€Π΅ транспортного сСктора экономики. Богласно ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹ΠΌ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π°ΠΌ, ΠΏΠΎΠ΄ государствСнный ΠΏΡ€ΠΎΡ‚Π΅ΠΊΡ†ΠΈΠΎΠ½ΠΈΠ·ΠΌ ΠΏΠΎΠΏΠ°Π΄Π°ΡŽΡ‚ сСкторы экономики, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ ΠΏΡ€ΠΈΠ·Π½Π°Π½Ρ‹ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΏΠΎΡΡ‚Ρ€Π°Π΄Π°Π²ΡˆΠΈΠΌΠΈ ΠΎΡ‚ COVID-19, Π° ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠ° ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΠΈ послСдних ΠΌΠΎΠΆΠ΅Ρ‚ Π±Ρ‹Ρ‚ΡŒ Ρ€Π΅ΡˆΠ΅Π½Π° Ρ‚ΠΎΠ»ΡŒΠΊΠΎ с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ государствСнного Π²ΠΌΠ΅ΡˆΠ°Ρ‚Π΅Π»ΡŒΡΡ‚Π²Π°. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ расчСтов ΠΏΠΎΠΊΠ°Π·Ρ‹Π²Π°ΡŽΡ‚, Ρ‡Ρ‚ΠΎ распрСдСлСниС финансовых срСдств ΠΏΡ€ΠΈ ΠΈΠΌΠ΅ΡŽΡ‰Π΅ΠΌΡΡ объСмС государствСнных финансов S = 1, выдСляСмых Π½Π° ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ, осущСствляСтся ΠΏΡ€ΠΎΠΏΠΎΡ€Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎ. ΠšΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½Ρ‹ΠΉ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ» ΠΎΠΏΡ€Π΅Π΄Π΅Π»ΠΈΡ‚ΡŒ Ρ‚Ρ€ΠΈ сСктора экономики для финансовых Π²Π»ΠΎΠΆΠ΅Π½ΠΈΠΉ, ΠΏΡ€ΠΈ этом Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΏΠΎΡΡ‚Ρ€Π°Π΄Π°Π²ΡˆΠΈΠ΅ ΠΎΡ‚ COVID-19 ΠΏΠΎΠ»ΡƒΡ‡Π°ΡŽΡ‚ Π½Π°ΠΈΠ±ΠΎΠ»ΡŒΡˆΡƒΡŽ долю финансовых ΠΊΠ°ΠΏΠΈΡ‚Π°Π»ΠΎΠ²Π»ΠΎΠΆΠ΅Π½ΠΈΠΉ. Π”Π°Π½Π½ΠΎΠ΅ исслСдованиС практичСски интСрСсно государствСнным ΠΎΡ€Π³Π°Π½Π°ΠΌ управлСния ΠΏΡ€ΠΈ распрСдСлСнии срСдств ΠΏΠΎ Π²Π΅ΠΊΡ‚ΠΎΡ€Ρƒ ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΠΈ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΏΠΎΡΡ‚Ρ€Π°Π΄Π°Π²ΡˆΠΈΡ… сСкторов экономики ΠΎΡ‚ пандСмичСских Π²Ρ‹Π·ΠΎΠ²ΠΎΠ², Π° тСорСтичСски – исслСдоватСлям, Π·Π°Π½ΠΈΠΌΠ°ΡŽΡ‰ΠΈΠΌΡΡ вопросами финансового обСспСчСния, ΠΏΡ€ΠΎΡ‚Π΅ΠΊΡ†ΠΈΠΎΠ½ΠΈΠ·ΠΌΠ° ΠΈ государствСнного администрированияРозглянуто ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΡƒ забСзпСчСння ΠΏΡ€ΠΎΡ‚Π΅ΠΊΡ†Ρ–ΠΎΠ½Ρ–Π·ΠΌΡƒ ΠΏΡ–Π΄ΠΏΡ€ΠΈΡ”ΠΌΠ½ΠΈΡ†Ρ‚Π²Π° Π² контСксті фінансових ΠΊΠ°ΠΏΡ–Ρ‚Π°Π»ΠΎΠ²ΠΊΠ»Π°Π΄Π΅Π½ΡŒ. Π”ΠΎΠ²Π΅Π΄Π΅Π½ΠΎ Π½Π΅ΠΎΠ±Ρ…Ρ–Π΄Π½Ρ–ΡΡ‚ΡŒ Π΄Π΅Ρ€ΠΆΠ°Π²Π½ΠΎΠ³ΠΎ ΠΏΡ€ΠΎΡ‚Π΅ΠΊΡ†Ρ–ΠΎΠ½Ρ–Π·ΠΌΡƒ ΠΏΡ–Π΄ΠΏΡ€ΠΈΡ”ΠΌΠ½ΠΈΡ†Ρ‚Π²Π° Π· ΠΌΠ΅Ρ‚ΠΎΡŽ Ρ€Π΅Π°Π±Ρ–Π»Ρ–Ρ‚Π°Ρ†Ρ–Ρ— транспортного сСктору. Π’ΠΈΠ·Π½Π°Ρ‡Π΅Π½ΠΎ ΡƒΠΌΠΎΠ²ΠΈ віднСсСння сСкторів Π΅ΠΊΠΎΠ½ΠΎΠΌΡ–ΠΊΠΈ Π΄ΠΎ ΠΊΠ°Ρ‚Π΅Π³ΠΎΡ€Ρ–Ρ— Π½Π°ΠΉΠ±Ρ–Π»ΡŒΡˆ постраТдалих Π²Ρ–Π΄ ΠΏΠ°Π½Π΄Π΅ΠΌΡ–Ρ— Π² контСксті Π΄Π΅Ρ€ΠΆΠ°Π²Π½ΠΎΠ³ΠΎ ΠΏΡ€ΠΎΡ‚Π΅ΠΊΡ†Ρ–ΠΎΠ½Ρ–Π·ΠΌΡƒ. На підставі статистичних Π΄Π°Π½ΠΈΡ… Π·Π° ΠΏΠΎΠΊΠ°Π·Π½ΠΈΠΊΠ°ΠΌΠΈ Π½Π° підставі ΠΏΠΎΠΊΠ°Π·Π½ΠΈΠΊΡ–Π² ризикованості Ρ‚Π° пріорітСтності сСктора Π΅ΠΊΠΎΠ½ΠΎΠΌΡ–ΠΊΠΈ Π²ΠΈΠ·Π½Π°Ρ‡Π΅Π½ΠΎ сСктори Π΅ΠΊΠΎΠ½ΠΎΠΌΡ–ΠΊΠΈ для Ρ€ΠΎΠ·ΠΏΠΎΠ΄Ρ–Π»Ρƒ фінансових ΠΊΠ°ΠΏΡ–Ρ‚Π°Π»ΠΎΠ²ΠΊΠ»Π°Π΄Π΅Π½ΡŒ. Π‘Ρ„ΠΎΡ€ΠΌΡƒΠ»ΡŒΠΎΠ²Π°Π½ΠΎ Ρ‚Π° Π²ΠΈΡ€Ρ–ΡˆΠ΅Π½ΠΎ Π·Π°Π΄Π°Ρ‡Ρƒ визначСння ставки фінансових ΠΊΠ°ΠΏΡ–Ρ‚Π°Π»ΠΎΠ²ΠΊΠ»Π°Π΄Π΅Π½ΡŒ. Π—Π°ΠΏΡ€ΠΎΠΏΠΎΠ½ΠΎΠ²Π°Π½ΠΎ комплСксну ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΡƒ забСзпСчСння ΠΏΡ€ΠΎΡ‚Π΅ΠΊΡ†Ρ–ΠΎΠ½Ρ–Π·ΠΌΡƒ ΠΏΡ–Π΄ΠΏΡ€ΠΈΡ”ΠΌΠ½ΠΈΡ†Ρ‚Π²Π° Π² контСксті фінансових ΠΊΠ°ΠΏΡ–Ρ‚Π°Π»ΠΎΠ²ΠΊΠ»Π°Π΄Π΅Π½ΡŒ Π· ΠΌΠ΅Ρ‚ΠΎΡŽ Ρ€Π΅Π°Π±Ρ–Π»Ρ–Ρ‚Π°Ρ†Ρ–Ρ— транспортного сСктору, Ρ‰ΠΎ Π²Ρ€Π°Ρ…ΠΎΠ²ΡƒΡ” Ρ€ΠΈΠ·ΠΈΠΊΠΎΠ²Π°Π½Ρ–ΡΡ‚ΡŒ Ρ‚Π° ΠΏΡ€Ρ–ΠΎΡ€Ρ–Ρ‚Π΅Ρ‚Π½Ρ–ΡΡ‚ΡŒ сСктора Π΅ΠΊΠΎΠ½ΠΎΠΌΡ–ΠΊΠΈ. ΠžΡΠΊΡ–Π»ΡŒΠΊΠΈ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠ° Π΄Π΅Ρ€ΠΆΠ°Π²Π½ΠΎΠ³ΠΎ ΠΏΡ€ΠΎΡ‚Π΅ΠΊΡ†Ρ–ΠΎΠ½Ρ–Π·ΠΌΡƒ ΠΏΡ–Π΄ΠΏΡ€ΠΈΡ”ΠΌΠ½ΠΈΡ†Ρ‚Π²Π° Π² ΠΏΠ΅Ρ€Ρ–ΠΎΠ΄ ΠΏΠ°Π½Π΄Π΅ΠΌΡ–Ρ‡Π½ΠΈΡ… Π²ΠΈΠΊΠ»ΠΈΠΊΡ–Π² COVID-19 Π°ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Π° для ряду ΠΊΡ€Π°Ρ—Π½, Π΄Π°Π½Π° ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠ° Π±ΡƒΠ»Π° Π°ΠΏΡ€ΠΎΠ±ΠΎΠ²Π°Π½Π° Π½Π° ΠΏΡ€ΠΈΠΊΠ»Π°Π΄Ρ– транспортного сСктору Π΅ΠΊΠΎΠ½ΠΎΠΌΡ–ΠΊΠΈ. Π—Π³Ρ–Π΄Π½ΠΎ Π· ΠΎΡ‚Ρ€ΠΈΠΌΠ°Π½ΠΈΠΌΠΈ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π°ΠΌΠΈ ΠΏΡ–Π΄ Π΄Π΅Ρ€ΠΆΠ°Π²Π½ΠΈΠΉ ΠΏΡ€ΠΎΡ‚Π΅ΠΊΡ†Ρ–ΠΎΠ½Ρ–Π·ΠΌ ΠΏΠΎΡ‚Ρ€Π°ΠΏΠ»ΡΡŽΡ‚ΡŒ сСктори Π΅ΠΊΠΎΠ½ΠΎΠΌΡ–ΠΊΠΈ, які Π²ΠΈΠ·Π½Π°Π½Ρ– Π½Π°ΠΉΠ±Ρ–Π»ΡŒΡˆ постраТдалими Π²Ρ–Π΄ COVID-19, Π° ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠ° ΠΏΡ–Π΄Ρ‚Ρ€ΠΈΠΌΠΊΠΈ останніх ΠΌΠΎΠΆΠ΅ Π±ΡƒΡ‚ΠΈ Π²ΠΈΡ€Ρ–ΡˆΠ΅Π½Π° Ρ‚Ρ–Π»ΡŒΠΊΠΈ Π·Π° допомогою Π΄Π΅Ρ€ΠΆΠ°Π²Π½ΠΎΠ³ΠΎ втручання. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΈ Ρ€ΠΎΠ·Ρ€Π°Ρ…ΡƒΠ½ΠΊΡ–Π² ΠΏΠΎΠΊΠ°Π·ΡƒΡŽΡ‚ΡŒ, Ρ‰ΠΎ Ρ€ΠΎΠ·ΠΏΠΎΠ΄Ρ–Π» фінансових ΠΊΠΎΡˆΡ‚Ρ–Π² ΠΏΡ€ΠΈ наявному обсязі Π΄Π΅Ρ€ΠΆΠ°Π²Π½ΠΈΡ… фінансів S=1, Ρ‰ΠΎ Π²ΠΈΠ΄Ρ–Π»ΡΡŽΡ‚ΡŒΡΡ Π½Π° ΠΏΡ–Π΄Ρ‚Ρ€ΠΈΠΌΠΊΡƒ, Π·Π΄Ρ–ΠΉΡΠ½ΡŽΡ”Ρ‚ΡŒΡΡ ΠΏΡ€ΠΎΠΏΠΎΡ€Ρ†Ρ–ΠΉΠ½ΠΎ. КомплСксний ΠΏΡ–Π΄Ρ…Ρ–Π΄ Π΄ΠΎΠ·Π²ΠΎΠ»ΠΈΠ² Π²ΠΈΠ·Π½Π°Ρ‡ΠΈΡ‚ΠΈ Ρ‚Ρ€ΠΈ сСктори Π΅ΠΊΠΎΠ½ΠΎΠΌΡ–ΠΊΠΈ для фінансових ΠΊΠ°ΠΏΡ–Ρ‚Π°Π»ΠΎΠ²ΠΊΠ»Π°Π΄Π΅Π½ΡŒ, ΠΏΡ€ΠΈ Ρ†ΡŒΠΎΠΌΡƒ Π½Π°ΠΉΠ±Ρ–Π»ΡŒΡˆ постраТдалі Π²Ρ–Π΄ COVID-19 ΠΎΡ‚Ρ€ΠΈΠΌΡƒΡŽΡ‚ΡŒ Π½Π°ΠΉΠ±Ρ–Π»ΡŒΡˆΡƒ частку фінансових ΠΊΠ°ΠΏΡ–Ρ‚Π°Π»ΠΎΠ²ΠΊΠ»Π°Π΄Π΅Π½ΡŒ. Π”Π°Π½Π΅ дослідТСння ΠΏΡ€Π°ΠΊΡ‚ΠΈΡ‡Π½ΠΎ Ρ†Ρ–ΠΊΠ°Π²ΠΎ Π΄Π΅Ρ€ΠΆΠ°Π²Π½ΠΈΠΌ ΠΎΡ€Π³Π°Π½Π°ΠΌ управління ΠΏΡ€ΠΈ Ρ€ΠΎΠ·ΠΏΠΎΠ΄Ρ–Π»Ρ– ΠΊΠΎΡˆΡ‚Ρ–Π² Π·Π° Π²Π΅ΠΊΡ‚ΠΎΡ€ΠΎΠΌ ΠΏΡ–Π΄Ρ‚Ρ€ΠΈΠΌΠΊΠΈ Π½Π°ΠΉΠ±Ρ–Π»ΡŒΡˆ постраТдалих сСкторів Π΅ΠΊΠΎΠ½ΠΎΠΌΡ–ΠΊΠΈ Π²Ρ–Π΄ ΠΏΠ°Π½Π΄Π΅ΠΌΡ–Ρ‡Π½ΠΈΡ… Π²ΠΈΠΊΠ»ΠΈΠΊΡ–Π², Π° Ρ‚Π΅ΠΎΡ€Π΅Ρ‚ΠΈΡ‡Π½ΠΎ – дослідникам, Ρ‰ΠΎ Π·Π°ΠΉΠΌΠ°ΡŽΡ‚ΡŒΡΡ питаннями фінансового забСзпСчСння, ΠΏΡ€ΠΎΡ‚Π΅ΠΊΡ†Ρ–ΠΎΠ½Ρ–Π·ΠΌΡƒ Ρ‚Π° Π΄Π΅Ρ€ΠΆΠ°Π²Π½ΠΎΠ³ΠΎ адмініструванн

    DEVELOPMENT OF THE CITY PUBLIC SERVICE MODEL ON THE BASIS OF INTEGRATED TRANSPORT FLOW INDICATORS

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    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 – 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 Ρ„re 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

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    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 specialΡ–ties to succeed in learning. The main task of the research is to evaluate the readiness of students of engineering specialΡ–ties 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 specialΡ–ties. 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 specialΡ–ties 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 specialΡ–ties 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 students’personality

    Design and simulation of the robust ABS and ESP fuzzy logic controller on the complex braking maneuvers

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    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

    Get PDF
    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 – 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 Ρ„re 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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