Вимірювальна техніка та метрологія. – 2022. – Випуск 83, №3

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Measuring Equipment and Metrology : scientific journal. – Lviv : Lviv Politechnic Publishing House, 2022. – Volume 83, № 3. – 48 р.

Вимірювальна техніка та метрологія

Зміст (том 83, № 3)

1. Титульний аркуш до “Вимірювальна техніка та метрологія”	1
2. Kovalchuk A., Peleckh Y., Bubela T. Bit operations with elements of the RSA algorithm in encryption-decryption of color images	5
3. Kovalchuk A., Kustra N., Yatsyshyn S. RSA algorithm in fractional-rational n-ary forms while encryption-decryption of monochrome images	11
4. Pashkevych V., Krayovskyy V., Haranuk P., Romaka V., Stadnyk Y., Romaka L., Horyn A. Investigation of sensitive elements of temperature transducers based on thermometric material Lu1-xScxNiSb	16
5. Meshcheriak O., Velychko O. Calibration of quartz electronic stopwatchers comparison method using a digital camera	23
6. Meshcheriak O., Velychko O. Calibration of analyzers of the mobile communication system parameters	30
7. Dorozhovets M. Direct solution of polynomial regression of order up to 3	35
8. Зміст до “Вимірювальна техніка та метрологія”	43

Content (Vol. 83, No 3)

1. Tytulnyi arkush do "Vymiriuvalna tekhnika ta metrolohiia"	1
2. Kovalchuk A., Peleckh Y., Bubela T. Bit operations with elements of the RSA algorithm in encryption-decryption of color images	5
3. Kovalchuk A., Kustra N., Yatsyshyn S. RSA algorithm in fractional-rational n-ary forms while encryption-decryption of monochrome images	11
4. Pashkevych V., Krayovskyy V., Haranuk P., Romaka V., Stadnyk Y., Romaka L., Horyn A. Investigation of sensitive elements of temperature transducers based on thermometric material Lu1-xScxNiSb	16
5. Meshcheriak O., Velychko O. Calibration of quartz electronic stopwatchers comparison method using a digital camera	23
6. Meshcheriak O., Velychko O. Calibration of analyzers of the mobile communication system parameters	30
7. Dorozhovets M. Direct solution of polynomial regression of order up to 3	35
8. Zmist do "Vymiriuvalna tekhnika ta metrolohiia"	43

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Direct solution of polynomial regression of order up to 3
(Видавництво Львівської політехніки, 2022-02-28) Dorozhovets, Mykhaylo; Lviv Polytechnic National University
This article presents results related to the direct solution of the polynomial regression parameters based on the analytical solving of regression equations. The analytical solution is based on the normalization of the values of independent quantity with equidistance steps. The proposed solution does not need to directly solve a system of polynomial regression equations. The direct expressions to calculate estimators of regression coefficients, their standard deviations, and also standard and expanded deviation of polynomial functions are given. For a given number of measurement points, the parameters of these expressions have the same values independently of the range of input quantity. The proposed solution is illustrated by a numerical example used from a literature source.