2018
DOI: 10.2478/acss-2018-0009
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Modelling of Measurement Error for Vibrational Displacement Based on the Blurring Analysis of a Round Mark Image

Abstract: With the aim to compare methods for counting the number of lines of a raster matrix, intersecting a round mark image, and a number of pixels belonging to this image for measuring its radius, a numerical simulation is carried out in the present article. It is proved that the application of the method for counting the number of pixels belonging to the image of the round mark allows obtaining more than 30 times gain in the accuracy of this image radius measurement using the same equipment. The formulas proposed i… Show more

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Cited by 3 publications
(3 citation statements)
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“…Next, set the starting and ending point of the route. Then the number of wagons for uncoupling is indicated, or if the wagons are already located on this path, then the number of wagons [23]. The following one-way traffic and the release / hitching option is set in the same way.…”
Section: ) Formation Of Route Optionsmentioning
confidence: 99%
See 1 more Smart Citation
“…Next, set the starting and ending point of the route. Then the number of wagons for uncoupling is indicated, or if the wagons are already located on this path, then the number of wagons [23]. The following one-way traffic and the release / hitching option is set in the same way.…”
Section: ) Formation Of Route Optionsmentioning
confidence: 99%
“…3. The algorithm finds routes of non-stop motion and recalculates the length of one-way traffic [23]. Information about each direction of the one-way locomotive, the number of railway cars and their characteristics enters the traction calculation unit, where using the modified method, the travel time is calculated along specified routes.…”
Section: ) Formation Of Route Optionsmentioning
confidence: 99%
“…References [16][17][18][19] prevent the invasion of the third party by controlling the user communication protocol. References [20][21][22][23] propose using pixel replacement or pixel value substitution to encrypt image content. References [24][25][26][27][28] encrypt the image by changing the transform coefficient of the image in the frequency domain.…”
Section: Introductionmentioning
confidence: 99%