http://ea.donntu.ru/handle/123456789/10520 Founder and Publisher - Donetsk National Technical University. ISSN 1997-8596 2026-04-22T22:47:14Z http://ea.donntu.ru/handle/123456789/10663 Title: ECOLOGICAL PROBLEMS OF INDUSTRIAL DONBASS AND UTILIZATION OF COKING BY-PRODUCTS IN ANTIRUST MATERIALS Authors: Vysotsky, Yu. B.; Korolyov, V. P.; Sohina, S. I.; Selyutin, Yu. V.; Shevchenko, O. N. Abstract: The paper deals with the problems of utilizing industrial by-products in the production of antirust materials. The test results have shown that the use of coal-processing by-products enhances protective properties of antirust metal coatings. The best results have been recorded for antirust compositions containing pitch and polymers of benzol separation. Besides, the utilization of coking industry by-products will help to improve the environment in great industrial regions 2010-01-01T00:00:00Z http://ea.donntu.ru/handle/123456789/10662 Title: DYNAMIC CONCENTRATION OF STRESSES IN ELASTIC COMPOUND SOLIDS Authors: Vovk, L. P. Abstract: According to a modified method of superposition the solution to the problem of harmonic vibrations of inhomogeneous areas consisting of various numbers of joined elastic areas with different elastic properties is presented. Wave field singularities in the vicinity of singular boundary points at the joint of areas are studied 2010-01-01T00:00:00Z http://ea.donntu.ru/handle/123456789/10661 Title: A digital setting device for optimal control of positional electric drives Authors: Tolochko, O.I.; Rozkaryaka, P.I. Abstract: This paper is a theoretical study of digital control algorithms for the systems of positional electric drives which would ensure minimum energy losses. In our research we took into account the effect of time discreetness, extrapolation, peculiarities of numerical integration and the necessity of real time calculations. 2010-01-01T00:00:00Z http://ea.donntu.ru/handle/123456789/10660 Title: EVOLUTIONARY APPROACH TO IMAGE PROCESSING ON THE EXAMPLE OF MICROSECTIONS Authors: Skobtsov, Y. A.; Martynenko, T. V. Abstract: This paper offers a new approach to color image processing and segmentation on the basis of evolutionary models. We developed a set of objective functions for estimating the quality of segmentation taking into account the type of histological research. Experimental research was carried out on the example of histological images. The results of this research confirmed the efficiency of the developed evolutionary processing and segmentation algorithms 2010-01-01T00:00:00Z