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Solving transport logistics problems in a virtual enterprise through artificial intelligence methods

100%

Pavlenko V. , Pavlenko T. , Morozova O. , Kuznetsova A. , Voropai O.

Transport Problems

2017

tom T. 12, z. 2

31--42

The paper offers a solution to the problem of material flow allocation within a virtual enterprise by using artificial intelligence methods. The research is based on the use of fuzzy relations when planning for optimal transportation modes to deliver components for manufactured products. The Fuzzy Logic Toolbox is used to determine the optimal route for transportation of components for manufactured products. The methods offered have been exemplified in the present research. The authors have built a simulation model for component transportation and delivery for manufactured products using the Simulink graphical environment for building models.

Dispersion of radon in the atmosphere around old uranium mill tailings

86%

Molchanov O. , Soroka Y. , Podrezov A. , Soroka M. , Buzinny M. , Pavlenko T.

Nukleonika

2010

tom Vol. 55, No. 4

535-538

This paper presents the results of investigations of radon levels in the atmosphere around old uranium tailings aiming to estimate the influence of inactive uranium sites to the population and personnel. These tailings are situated in the area of a former uranium processing activity of a Pridniprovsk Chemical Plant in the city of Dniprodzierzhinsk. The radon-222 measurements have been carried out using an etched track system TRACK 2010Z. The minimum detectable activity of radon-222 has made up 2 Bq/m3 with the exposure of 30 days. Corresponding data sets of radon-222 and its daughters have been analysed. We have calculated distribution of the radon equilibrium factor (F), i.e. the ratio between radon and radon daughters for the investigated site. Our study shows a contrast spatial radon-222 dispersion in the atmosphere, while radon-222 is lowered to the background levels. The average value of the F makes up 0.146 for the undisturbed open atmosphere. Atmospheric inversions cause a significant rise of F that goes up to 0.487. The present research has been carried out within the frameworks of the STCU project no. 3290.