TheJIame atomic absorption spectroscopjj method of analysis of trace elements ( M n , Sr, and Cu) in a mammoth's bone and the method of estimation of the data using regression analysis are described. The concentration fields of the single elements in a cross-section through the bone are well described by a fourth degree polynomial. The minimum values and their coordinates have been determined. A method of determination ofthe original concentrations of trace elements in fossil bones is described further. The approximating features of the regression exponential equations and of the diffusion functions of various shapes were derermined and a method for calculating rhe concentrations and diffusion properties of the bones once deposited in the soil is suggested. The original trace element concentration can be estimated by extrapolation of a suitable exponential or diffusion function.

In this paper, the application of artificial neural network clasifier to resolve pest birds in agricultural areas as a part of a comprehensive system of protection against vermin is demonstrated. Firstly, the idea of the whole system is outlined. Then, the method of recognition is described, the process of artificial neural network design is illustrated and the classifier is validated using data gathered in the fields. Eventually, the results are compared to similar works.

Calibration is one of the most frequently used laboratory procedures. Thanks to immense development of measuring techniques at present, the measurement procedures have become easier both quantitatively and qualitatively, i.e. the trueness and accuracy of measurements and their speed have increased; hence the amount of experimental data has multiplied. Along with experimental techniques, the techniques of evaluation have also improved: available computer programs cover absolute majority of mathematical evaluation methods. In the profusion of outputs, the application conditions of the methods used are somewhat eluding, and the results obtained often have limited applicability. Therefore, it is necessary to become aware of the fact that for practical use the methods have to be clear, straightforward and exact, i.e. it has to be known what can be neglected as marginal and what cannot.

This paper deals with a proposal of predictive control system for the magnesite thermal treatment in rotary furnace. The mathematical model based on the initial principles and elementary balances method providing a comprehensive view of the rotary furnace work was calibrated based on the measured operating data. This model was used as the data model for the development of the approximation model in the form of an artificial neural network after identifying the critical points of the production process of sintered magnesia production. The paper represents the process of the approximation model development and the principle of the seeking of the optimal values of the specified control variables in order to ensure the required quality throughout the whole period of the rotary furnace operation.

TheJIame atomic absorption spectroscopjj method of analysis of trace elements ( M n , Sr, and Cu) in a mammoth's bone and the method of estimation of the data using regression analysis are described. The concentration fields of the single elements in a cross-section through the bone are well described by a fourth degree polynomial. The minimum values and their coordinates have been determined. A method of determination ofthe original concentrations of trace elements in fossil bones is described further. The approximating features of the regression exponential equations and of the diffusion functions of various shapes were derermined and a method for calculating rhe concentrations and diffusion properties of the bones once deposited in the soil is suggested. The original trace element concentration can be estimated by extrapolation of a suitable exponential or diffusion function.