The scientific innovation of this paper consists in the preparing of one methodology to forecast the sportsmen training through applying of one mathematical modelling method that, through the exponential functions, establishes, with an approximation of maximum 2%, the forecasting of the sportsmen’s individual parameters enhancing. In most cases, the extrapolation functions, obtained by computing technique, overlap the real values obtained after a short training period. This phenomenon demonstrates that the mathematical modelling contributes efficiently to improve the training and contesting process. The sportsmen performances are evaluated through periodical tests. Based upon these tests we can draw conclusions referring to the way in which the sportsman answered to a certain training program, to the parameters which can be increased, to the accumulated tiredness level. To extrapolate these data in the sight to aim at the next evolution of the sportsman and to predict some next performances it must to find an evolution law for values controlled periodically till a certain moment. This prediction can be made for one or more tests, at the middle of the training period, so that the evolution from the second part or from the end of this period could be instituted, in order to prepare the new training program.

The fluctuating light conditions cause troubles in image processing based area and dimension measurement. This article describes the hardware implementation and measured properties of canny-based edge detection and an optimal thresholding method. Both units were implemented on proprietary FPGA-based image processing system for “on the fly” measurement. The optimal threshold algorithm presented is able to adapt to changed light conditions and calculates the object size counting the pixels above threshold. The other method uses the first and the second differentiation combined with low-pass filter do locate the object edges and calculates the object size by subtracting their positions. As it uses the maximal slope as edge criteria it is also resistant against illumination changes.

The paper presents a prototype of EIS analyzer, which uses digital potentiostat/galvanostat. The separate paths and AD converters were used for sampling DC and AC components of signals proportional to current through and voltage across the impedance of the measured object. The converters are controlled by different processors, which performs functions tightly connected with realization of two tasks of EIS analyzer: potentiostat/galvanostat controlling and impedance measuring. In order to decrease the influence of the real-life parameters of used operational amplifiers and the parasitic capacitances on the error of impedance measurement, the correction taking those parameters into account has been used in the algorithm for determination of impedance parameters of the measured objects. Performed tests proved benefits appearing from correction implemented in the algorithm. The measurement results of an example non-linear RC object with diode show that the relative error of impedance modulus doesn’t exceed +0.5/-1.0% and absolute error of impedance argument was not greater than ±0.5°.

Shade matching is a much complicated task then it may look like. Variability of the factors which influence the shade matching procedure should be minimized. There is a need for a new, better, logically and scientifically arranged shade guide which would cover the complete color range of natural teeth. The project proposes to accomplish a color prosthetical establishing performing system through image processing methods by using cumulative informations concerning chromatic analysis and also the transparency variation depending on work’s 3D geometry. By realizing a bidirectional communication routine on a cable support dentist office- dental technician laboratory it is facilitated the establishing of the acquired information volume and quality sufficiency, on the one hand, and on the other hand the prosthetical work delivery programming depending on the material and human resources available in the dental technician laboratory.

Recently, the driver’s attention while driving a vehicle has to be taken seriously in a modernized society. Although some studies of attention while driving are being conducted now, the character of human activity is complicated for estimating attention while driving a vehicle. In the present study, the driver’s attention was studied by driving performance and meandering of the vehicle. Two sets of drivers were used to compare driving while alert and while drowsy. For driving performance, the degree of steering and the degree of acceleration were measured. For meandering, the shoulder line on the road was detected by a CCD camera to calculate the coordinates of the vehicles. These three values showed the dynamical degree of the driver’s attention. The results show that the meandering values and the degree of steering values correlated with the degree of attention of the driver, and these results can be applied to make an alert system for drivers during decreased consciousness or concentration in order to realize a safe society for our modern roadways.