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Precise quantification of the profile of a hen egg can provide a powerful tool for analysis of egg shape and following solving of various technological problems. The article presents a new approach of the eggshell geometry determination using and analyzing the egg digital image and edge detection techniques. The detected points on the eggshell contour were fitted by the Fourier series. The obtained equations describing an egg profile were used to calculate the egg volume, surface area, and radius of curvature with a much higher degree of precision in comparison with previously published approaches. It was shown that radii of curvature at the critical points of the egg profile are independent on the egg shape index. The article shows and quantifies the limitations of the common and frequent procedures.

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The article deals with the description of calibration and its use in measuring fuel consumption via the CAN-Bus network. The CAN-Bus communication network holds great potential for the area of vehicle testing, since it allows the utilization of internal sensors of the vehicle to monitor its output parameters. In order to ensure proper accuracy of the measurements, however, it is best to perform calibration of the relevant sensors using certifi ed measuring instruments. The main focus of the article is the calibration of the fuel consumption as measured by the CAN-Bus network based on fuel consumption measured by precision mass fl ow meters. Using the least squares method and a regression triplet, a calibration curve was created from the measured data to describe the relation between the two variables. The calibration curve was also used to calculate the reverse estimates along with confi dence intervals for randomly chosen fuel consumptions obtained from the CAN-Bus network. To express the accuracy of the calibration methods, we also defi ned the limit values which express when the signal is still statistically signifi cant enough to be distinguished from noise.