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B. G. Kukharenko, M. O. Solnceva A problem object group observation is under study at a low quality of telemetric image. Object identification is performed by segmentation of telemetric image in its pixel feature space. As shown, for estimation of pixel distribution modes in the image pixel feature space, the Mean shift algorithm can be in use. An overabundant initialization of the algorithm by all image pixels is reduced by the Seam carving algorithm, which decreases the image background size. As shown by a telemetric image sample, the Mean shift algorithm smoothies its texture to visualize the object perception. Automatic Recognition of Isolated Words on the Basis of Fuzzy Set Theory and Cluster Model of Minimal Speech Units A novel automatic phoneme recognition algorithm was proposed on the basis of cluster model of minimal speech units and fuzzy set theory, if several model phonemes are available. By using this fuzzy coding-decoding method the algorithm of isolated words recognition was developed. The results of its experimental study for Russian language are presented. It is shown that the accuracy of the proposed approach is 3—5,5 % higher than the accuracy of other well-known methods. I. A. Mochalov, M. S. Khrisat The article deals with the traditional methods of point estimates with respect to the "hybrid" data, which are a type of fuzzy random variables. Using the theory of fuzzy linear systems shows that the treatment of "hybrid" data there are "strong—weak" point estimates of parameters. Is a simple example of processing of fuzzy data. Modern Network Technologies in Scientific Researches The paper discusses the effective usage of network technologies in the processes of researches carried out by distributed teams of researchers in the space that altering the concept of collective scientific work. We propose a new modern approach to the way of creating and editing a scientific reports on the network. Solution Stability of Optimization Problems in Condition of Uncertainty A problem of optimization of incompletely defined (non-determi-nistic) functions is considered. The parameters of such functions are intervals. It is shown that problem solution also requires touching of problem: finding optimum which has stability to variations of values of the function parameters. Method for determining optimum of function and its stability by methods of interval mathematics is presented. E. Yu. Orekhov In this paper we suggest a method of equiprobable generation of instances for the integer rectangular cutting-packing problem. The method is intended for estimating the efficiency of heuristic cutting-packing algorithms. S. S. Gavriushin, G. B. Evgenev There is the important task of improving the competitiveness and efficiency of engineering industries in this country. To solve this problem it is necessary the creation of integrated computer systems automation, covering all stages of the product life cycle. There are made significant progress in the development of software and information support of such systems, including the integration of design and process planning. It is need to make such progress at the mathematical software. The best prospects in this regard are multi-criteria optimization techniques that are still used only in the design of products. P. 37—42 Development of the Ontological Domain Model for Innovative Developments in Scientific Research The ontological domain model for innovative developments in scientific research is presented in the article. The model is developed as an extension of CERIF-2010 in accordance with the existing Russian legislation. The model will be used for creating the semantic layer of the information system "Scientific-technical developments of RAS". P. 42—45 M. A. Nikolaeva, O. F. Zotova, N. V. Sholokhova A description of the general structure of decision support system for the commercial bank deposit portfolio management (DPFL) is proposed. The aggregate risk of management is being introduced as a characteristic of effective management of DPFL. Detail description of the "signal subsystem" within the DSS is provided as well as algorithms and mathematical methods. V. P. Potapov, S. E. Popov, R. Yu. Zamaraev Web Service for Calculating the Macroseismic Field Based on Google App Engine Web-based service "Seismoshake" (http://seismoshake.appspot.com) are developed for modeling the macroseismic field of an earthquake. Web service allows building field displays and reporting on selected areas. Integrated approaches to access to information about locations based on cloud geocomputing are used. Implemented programming model through integrating services with cloud architecture GEONAMES.ORG Google App Engine to calculate earthquakes' intensities in MSK-64 scale. P. 52—55 F. G. Agayev, N. H. Javadov, H. H. Asadov, R. V. Khalafov Generalization and formalization of the task of optimal assessment and subtraction of non-homogenous zones of various composed objects of natural and technogenic media using remote sensing at the basis of normalized differential indices is suggested. P. 56—59 A. V. Chernyaev, A. A. Pavlov The article deals with geoinformation mathematical model generation problems. The geoinformation mathematical model under consideration is for small river basin information system intended for use in accidental oil pollution modeling and forecasting. A. V. Volynskaya Search results of binary signals with optimum autocorrelation function, and also computer modeling for the purpose of an assessment of their noise stability are given; options of technical realization of the generator and the optimum filter detector of these new signals are presented. P. 65—70 |