This article is devoted review the process of using new methods of hypertonic disease monitoring. The authors suggest to use patient’s immunological and biochemical homeostasis for predicting and diagnosis this disease. It is proved that these data can be used for monitoring and controlling patients. The correlation between immuno-biochemical parameters and the ecological background patient’s place of residence are set. The problem of the design and construction of specialized complex laboratory control based on client-server architecture is considered. For data analysis supposed to be used statistical and intellectual processing methods. For example, in article describes the basic classification algorithm called “k nearest neighbors”. When the size of “training sample” is sufficient the accuracy in determining the class label reaches 99%. In conclusion emphasizes the importance of developing methods for early diagnosis of cardiovascular disease and using the modern methods for data analysis.
The article discusses the advantages of small hydropower as an alternative energy source that meets modern environmental requirements. The design of high-efficiency micro hydroelectric power station, intended exclusively for slow-moving rivers as an independent source of electric power is proposed. The devices and equipment necessary for the functioning of micro hydroelectric power station are described. Mathematical model is developed, which links speed parameters of water flow with geometrical parameters of turbine. Technical and operational characteristics of MHPS were investigated. To solve the problems, methods of mathematical statistics, functional analysis, linear algebra were used. Simulation and computational experiment were performed using MS Excel and MathCad math packages.
Monte Carlo method modeling allows determining the transformation of the probability density function of the uncertainty of the impedance components measurement results. Direct measurements of impedance components are based on the indicative form. The probability distribution density function of the uncertainty of direct measurement results is a constant. The components of algebraic and trigonometric forms of impedance are measured indirectly. The type of transformed probability density function for these forms is determined by calculating estimates of mean, standard uncertainty, extended uncertainty, asymmetry coefficient. Modeling allows to obtain reliable estimates of extended uncertainty of indirect measurements results of impedance components in accordance with current metrological standards.
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