Vol 14, No 4 (2013)

In the paper the technique for the motion estimation is presented. An algorithm for the construction of a fuzzy model to evaluate the reliability of the local motion vectors is proposed. An algorithm for the low-pass filtering with an adaptive tuning stabilizing factor for the calculation of the smoothing vector is described. Experimental results have indicated a good performance of the proposed digital video stabilization algorithm in comparison with other systems.

A mathematical model of the microchip that concentrates live cells in a small volume of liquid by electrophoresis is created. Space distributions of electric field are calculated for a cylindrical conductor with axially symmetrical electrodes. Equipotentials, field lines and lines of constant electric field strength squared are plotted. Cells are simulated as good conducted balls bounded with a low conducting membrane. The membrane has no influence on electric current if the frequency of the electric field is high enough. Then a cell behaves as a good conducting ball. It is polarized and a force appears which pulls the cell into the regions with the strong electric field. Trajectories of the cells are defined for the cell movement that is the result of this force and viscosity of the liquid. Singularities of the electric field distributions are found near the lines which separate boundary isolators and electrodes. The factors which limit effectiveness of the microchip are analyzed.

This paper is devoted to the comparative investigation of the application of the classical optimization methods (zero, first and second orders) and also genetic modifications for solving of the complex optimization problems with various specific features. It is an actual modern scientific problem. The classical optimization methods based on calculation of the first and second derivatives of the function or only function values are not capable to optimize multiextreme, ravine surface functions with the set of irregular local optimum, etc. Therefore genetic algorithms and its modifications are applied in these situations. Program systems have been developed for comparison of methods with programming language named C++. These systems have been debugged and tested with the representative set of problems. The results of the experiments were processed with statistical methods. High efficiency and expediency of application of selfadjusted genetic algorithm have been proved for solving of one criterion global optimization problems. The expediency of application of the developed modifications was shown for solving of various classes of optimization problems and intelligent data analysis in the previous researches.

This work is focused on the active site of [NiFe]-hydrogenase. The wide interest in hydrogenases is explained by their potential application in catalytic oxidation and reduction of molecular hydrogen. In this work the H 2 binding to the active site of [NiFe]-hydrogenase is studied using density functional theory methods. The binding energies of H 2 to the iron and nickel centers are found. The intersection between the potential energy curves of the singlet and triplet states of the [NiFe]-hydrogenase active site, with molecular hydrogen bound to it, is demonstrated. The results of this work show that the molecular hydrogen binding to [NiFe]-hydrogenase active site has nonadiabatic spin-forbidden character. Therefore, to create an efficient catalyst based on hydrogenase structural models, it is essential to create bioinorganic complexes capable of changing their spin states during catalytic process.

The paper considers the problem of the nonparametric identification of the discrete and continuous process of the basic oxygen steel melting. The identification peculiarities in conditions of parametric and nonparametric uncertainty are pointed out. The appropriateness of the nonparametric methods use in conditions of small information given a priori is emphasized. Some non-parametrical models of the process of basic oxygen steel melting are built according to the key output variables determining the metal chemical composition at turndown: carbon (C), sulfur (S), phosphorus (P) and manganese (Mn). Some results of the modeling process of the basic oxygen steel melting showed that the process is conducted in the framework of the technological order, however, it is not enough for the qualified control by the melting process.

We found variability of brightness in the stars USN0-A2.0 1425-07730275, USN0-A2.0 1425-07730877USN0-A2.0 1425-07732585, USN0-A2.0 1350-08023794, USN0-A2.0 1425-07735907, USN0-A2.0 1425-07736119, USN0-A2.0 1425-07744258, USN0-A2.0 1425-07747819, USN0-A2.0 1350-08038347, USN0-A2.0 1425-07749499, USN0-A2.0 1425-07756005, USN0-A2.0 1425-07758087, USN0-A2.0 1425-07760594, USN0-A2.0 1425-07765707.

The paper considers some aspects of system analysis and operation research theory. The most important features of the last ones are discussed. The particular example of the system analysis effective use in the problem of technical object control is given. Some informatization aspects by making solutions for different processes including organizational ones are analyzed. The principal features of modeling systems building and active objects control are described. The most important problems of system analysis are pointed out. A brief characteristic of investigations having done in the department "System analysis and operation research " of SibSA U in the sphere of system analysis and operation research is given.

The authors present the modeling high-precision parallel computing with high-bit data, based on the residue number systems with the conversion of numbers from the positional notation to the residual notation and back with the using of neural networks. Application of neural technology allows parallelize computations at the level of the algorithm, and the use of residue number systems makes it possible to improve the performance of high-precision computation through the transition to a low-bit data processing and application of parallel processing at the level of the elementary arithmetic operations. A neural network for the conversion of the positional notation to the residual notation and back is constructed. The dependence of the time of conversion from changing the bit has been got. The dependence of the time operations of addition, subtraction and multiplication for fixed-point numbers from changing the bit has been got.

Broadband signals immunity against simulation echoes is assessed. Probability of signals intrusion and safety running time for communication systems are calculated. Three algorithms of signals forming in communications systems are provided. The conclusion that it is reasonable to use the wavelet modulated broadband signals in communication systems for the purpose of simulated echoes suppression is made.

The work is devoted to the analytical continuation of the multiple power series in the class of areas generalizing stars. With the help of multiple power series reanalysis by m-homogeneous polynomials constructed continuation of this series of in (m 1, ..., m n ) -circular area, which are a natural generalization of circular areas in C n. Based on this decomposition, the multiple of a power series analytically continues maximum m-star region called m-star Mittag-Leffler function f defined by this row. This analytic continuation is a superposition of m-homogeneous polynomials, which decomposes a power series with an infinite triangular matrix, which elements do not depend on the function f. The paper contains an example, when m-star Mittag-Leffler differs from a normal star Mittag-Leffler.

In this paper modifications of single- and multi-objective genetic algorithms are described and testing results of these approaches are presented. The gist of the algorithms is the use of the self-adaptation idea leading to reducing of the expert significance for the algorithm setting and expanding of GAs’ application capabilities. On the basis of offered methods the program system realizing the technique for neural network models design was developed. The effectiveness of all algorithms was investigated on a set of test problems.

Natural Language call routing remains a complex and challenging research area in machine intelligence and language understanding. This paper is in the area of classifying user utterances into different categories. The focus is on design of algorithm that combines supervised and unsupervised learning models in order to improve classification quality. We have shown that the proposed approach is able to outperform existing methods on a large dataset and do not require morphological and stop-word filtering. In this paper we present a new formula for term relevance estimation, which is a modification offuzzy rules relevance estimation for fuzzy classifier. We propose to split the classification task into two steps: 1) “garbage” class identification; 2) further classification into meaningful classes. The performance of the proposed algorithm is compared to several standard classification algorithms on the database without the “garbage” class and found to outperform them with the accuracy rate of 85,55 %. Combination of our approach with 9-NN algorithm for two-stage classification problem definition provides the accuracy rate of 77,11 % for test sample at whole.

Genetic programming algorithm for neural network automatic design is suggested. Ensemble member competence estimations based procedure of decision making with intelligent information technologies is proposed. Effectiveness of the approach is proved on the benchmark and real-world medical diagnostic problems.

Intelligent information technologies enable to solve complex data mining problems in various domains of human activity. In this paper such popular techniques as artificial neural networks, fuzzy rule based systems and neuro-fuzzy systems are considered. A genetic programming algorithm is used for building intelligent systems ensembles in order to improve the performance and reliability of decision making. The methods proposed are applied to time series prediction task. The results obtained are compared to other state-of-the-art time series forecasting techniques.

The performance of spoken dialogue systems (SDS) is not perfect yet, especially for some languages. Emotion recognition from speech (ER) is a technique which can improve the SDS behavior by finding critical points in the human-machine interaction and changing a dialogue strategy. Inclusion of the speaker specific information, by conducting the speaker identification procedure (SI) at the set up of ER task could also be used in order to improve the dialogue quality. Choosing of both appropriate speech signal features and machine learning algorithms for the ER and SI remain a complex and challenging problem. More than 50 machine learning algorithms were applied in the study for ER and SI tasks, using 9 multi-language corpora (Russian, English, German, and Japanese) of both acted and non-acted emotional utterance recordings. The study provides the results of evaluation as well as their analysis and future directions.

A new approach to form a fuzzy logic system with evolutionary algorithms is introduced. Several algorithms were implemented as programs, efficiency measurements were made with and without self-adjustment. A new data representation method was developed for fuzzy rules base coding in genetic programming method by using reverse polish notation principle. The genetic algorithm was adapted to adjust linguistic variables semantics. The efficiency of developed algorithm was shown and compared to analogies on several test regression problems and real classification problems.

The client-server speech recognition systems face the challenge to provide consistent performance over diverse channel conditions. It is therefore necessary to develop methods which could anticipate the effect of the transmission errors. In this paper we consider an error mitigation approach which does not modify the original data; instead it tries to reconstruct lost information at the receiver via interpolation of successfully transmitted features. Using the packet identification number the DSR server is able to decide unambiguously which packets were lost and which were closest packets received without error. With correctly received packets before and after the burst, error mitigation module can interpolate missing features.

The article considers the problem of GEO satellites defense against space debris like the satellites which have not been relocated to the storage orbit. Ajoint work of several satellite systems is necessary to provide the satellite safety in the space. The onboard optical and radar system is intended for the detection of the space objects and coordinates measurement. The authors consider the advantages of optical and radar equipment combining, operational principle and versions of the structure. The block diagrams for versions of the structure are considered. The authors consider the accuracy characteristics and estimate a system mass and power consumption.

For the engine S10 with the thrust 10 N and the engine S400 with the thrust 420 N developed by EADS Astrium, the matrix planning to create the regression models of specific impulse has been built. The experimental results are processed with the help of the specially developed software at the present method of treatment. An adequate regression models of the specific impulse for the engines are created. The analysis of regression models is built in the graphical form. It is concluded that the fuel has an impact on the regression models with an increasing engine thrust. A special software for the experimental design and statistical analysis of the results has been developed and tested.

This paper covers developing and modeling of a power supply system of a standalone satellite communication terminal for remote monitoring of environmental conditions and manmade objects state. A new structure of a power supply system of a standalone satellite communication terminal where Si solar array is used as a primary power source and supercapacitors with high lifetime and low value thermal characteristics are used as a reservoir power source, is proposed. Expressions allowing calculating minimal solar array power, energy stored in supercapacitors, their quantity in dependence of average load power, environmental conditions, daytime and nighttime duration, are proposed. A P-SP/CE model of the proposed power supply system was developed. This model was simulated in MicroCAP 7.1. The simulation results confirmed operability of the proposed power supply system.

The question of minimisation of an error of the calculation of the aerial phase centre concerning the solar-terrestrial co-ordinate system at the passage of the singular points of an orbit is cosidered. The algorithms of an anticipatory turn which are put aboard the space vehicle and in the consumer equipment are developed. The given algorithms allow to determine the value of a course corner of the space vehicle on the sites of the anticipatory turn. The knowledge of a course corner allows to calculate corrections to the co-ordinates of the aerial phase centre. The developed algorithms allow to raise the accuracy of the co-ordinates setting of the consumer on the sites of the anticipatory turn.

The density functional for the characterization of the half-model [NiFe]-hydrogenase active site is defined. The binding energy of the molecular hydrogen with ferrous iron in [FeCO(SCH 3) 2(CN) 2H 2] 2- complex is determined by the coupled cluster with the full treatment singles and doubles and estimate to the connected triples contribution using many-body perturbation theory. The results show that ligands in [Fe(SCH 3) 2(CO) 3P 2], [Fe(SCH 3) 2(CN) 3H 2] 3-, [FeCN(SCH 3) 2(CO) 2H 2] 1, [FeCO(SCH 3) 2(CN) 2H 2] 2- complexes form a distorted octahedral coordination with ferrous iron. The substitution of the CO by CN ligand in complex [FeCO(SCH 3) 2(CN) 2H 2] 2- leads to the stabilization of molecular hydrogen in the vertex of octahedron and elongation H-H bond. It is determined that all modeled structures are Cubas complexes.

The article considers the electronic structure of oxidized state of the cluster [Fe(SCH 3) 4J which is an analog of the active site in rubredoxin proteins, in the framework of multiconfigurational self-consistent-field with complete and restriction active space. Our results show the applicability of the restriction active space to metal complex. The active space with the most accurate description of the static electron correlation is defined. The multireference character of the electronic wavefunctions is achieved by using two sets of molecular orbitals. The first set is five pure 3d-orbitals of Fe and the second three mixed molecular orbitals, which are linear combination of iron 3d-orbitals and sulfur p-orbitals. Based on RASSCF wavefunctions and this choice of the active space it is possible to describe binuclear metal complexes.

The accelerated environmental testing (USP) of the samples with radioreflective surface is conducted. The results of the test samples before and after the USP are given. Appearance, termoradiation characteristics of As, En, radioreflection coefficient, adhezion strength was under control. The samples for radiation exposure were tested. The tests show that the samples have the desired characteristics of radioreflective coatings made by the three schemes. Developed coatings can be recommended for application of carbon fiber reflector antennas operating at frequencies up to 24 GHz.

The necessity of the state stimulation of the innovative activity of the defense industry complex enterprises (DIC) is proved. The principles of the stimulation of the innovative activity of the defense industry enterprises, answering to a current state and prospects of the development of the enterprises of branch are formulated. The analysis of forms of the state stimulation of the innovative activity of the enterprises of branch is carried out and the features of each of the forms are defined. The classification signs are offered. The conclusion is drawn that the group of existing forms on the offered signs allows to divide them into the classes, differing by the purposes, conditions and ways of stimulation, by means of which realization it is possible to solve a problem of the effective stimulation of the innovative activity of the defense industry enterprises.