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Journal of Engineering and Applied Sciences
Year: 2017 | Volume: 12 | Issue: 6 SI | Page No.: 7824-7829
DOI: 10.36478/jeasci.2017.7824.7829  
On Representation of Discrete Information of Temporal Databases in the Continuous Form
Gennadiy V. Averin , Anna V. Zviagintseva , Maria V. Shevtsova and Liliana N. Kurtova
 
Abstract: The representation problem in a continuous form of discrete quantitative data on the basis of development of the phenomenological models characterizing changing processes of difficult system’s conditions is studied. The method of such model’s creation is offered according to temporal databases using the idea of the description these states given in continual spaces. At the same time discrete quantitative information is considered in the form of multidimensional selection of data experience from the continuous hypothetical environment characterizing object’s conditions on a set of indicators which in turn are considered as variable conditions of objects. Dependences for the phenomenological analysis of experimental data are formulated. For example, processing of social and economic information on a condition and development of Russian cities with the population more than 100 thousand people is executed. It is shown that for spaces of system’s conditions the mathematical functions of entropy and potential can be offered. Their sense is connected with introduction of natural curvilinear coordinates in continual spaces. These values consider features of discrete representation of information and form the continuous regularities reflecting variable’s interrelation according to experimental data. The received results allow to develop methods of empirical data processing.
 
How to cite this article:
Gennadiy V. Averin, Anna V. Zviagintseva, Maria V. Shevtsova and Liliana N. Kurtova, 2017. On Representation of Discrete Information of Temporal Databases in the Continuous Form. Journal of Engineering and Applied Sciences, 12: 7824-7829.
DOI: 10.36478/jeasci.2017.7824.7829
URL: http://medwelljournals.com/abstract/?doi=jeasci.2017.7824.7829