In this paper we consider the problem of effective forecasting of electricity consumption for multiple objects in automatic mode. We propose an approach to automation of forecasting process, based on CRISP-DM. There were considered methods of computational intelligence for the data preprocessing - filling the gaps and identification of the emission, methods of construction and adjustment of forecasting models. As the computational basis are used connective models, based on neural networks and on constructive neural networks. There was shown the system architecture that implements the mechanisms of computational intelligence, and was presented the results of the tests.

Keywords: consumption of electricity, forecasting automation, computational intelligence, identification of the emission, connective models.

The article describes the risk management model of labor protection, which allows to analyze the magnitude and risk management decisions aimed at its reduction to an extent corresponding to an acceptable risk. 
Mathematical description of the model takes into account the limited resources available for the implementation of labor protection measures, as well as the interests of all stakeholders. 
Keywords: risk, risk management, health and safety, the mathematical model.

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The article analyzes the negative effects of electricity reform. The analysis methods applied regulation of natural monopolies, including the method of return on invested capital. The reasons strengthen the regulatory impact on the natural monopoly. 
Keywords: economy of the region, a natural monopoly, management, development of the national economy, innovation, efficiency.

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In this paper, the task of achieving the optimal bandwidth telecommunication channels. Focuses on technical aspects of managing bandwidth channels using virtual organization switched channels. Formally defined parameters affecting the guaranteed delivery service. A model and management solution parameters guaranteed delivery of information in the communication channels, based on the methods of the theory of stochastic processes theory and risk analysis.
Keywords: reliability of telecommunication systems, telecommunication systems modeling, stochastic processes, optimal risk management.

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In this paper the method of improving safety by optimizing the frequency of maintenance (TO) radio technology products using the simulation model of the process and then consider the functioning of systems. Optimization algorithm based on simulation of embedded Markov chains using the Monte Carlo method. 
Keywords: security, maintenance, maintenance intervals, semi-Markov process, the simulation model.

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This article presents an agent-based computational model of civil violence. In the model we present variant of civil violence when central authority seeks to suppress decentralized rebellion. This model involves two categories of actors. ‘‘Agents’’ are members of the general population and may be actively rebellious or not. ‘‘Cops’’ are the forces of the central authority, who seek out and arrest actively rebellious agents. Both type of actors are having attributes and behavioral rules.

Keywords: Legitimacy, Grievance, Perceived Hardship, Risk Aversion, Jail, Neighborhood, Vision Radius, Salami Tacktics, Initial Density, Active Agent, Quiet Agent, Civil Violence, Visualization, Tension, Ripness Index.

Methods of an intensification of clearing of the wood areas, including preparation and protection of power lines, oil and gas pipelines, roadside routes, etc.), from trees and bushes are considered. Prospects of use for these purposes of rotor brush cutters are shown.

Keywords: trees, intensification, bushes, wood areas, rotor brush cutter.

The two approximate methods of choosing the rational strategy to search and correct a fault on the Markov chain model base with a game-theoretic definition of the unknown transition probabilities is proposed. A comparative analysis is completed.

Keywords: Markov chains, game-theoretical optimization, matrix games.

This article gives a survey of the issue of the thermal dynamics identification of the sensor network based systems, such as buildings. Given problems: weaknesses of the modern sensor network based intelligence systems, that mostly limits their potential and increasing calculation costs are overviewed. Article describes a novel approach for intelligence control systems design based on sensor networks, using methods of fuzzy modeling. The key future of the given approach is in saving of high efficiency characteristics of modeling in case of sensor network nodes amount decreasing.  As an example of the approach usage there are presented results of experimental test space thermal dynamics simulation model analyzing. The advantages of the developed solution to other existing commercial solutions are shown. The methodology was tested and its efficiency is shown.

Keywords: intellectual control systems, sensor network, data analyzing, fuzzy modeling, fuzzy classification, membership function.

Carbothermal synthesis method on substrates of a-Al2O3 thin film with sublayers ZnO: Ga, using copper as a catalyst for the arrays obtained by varying the zinc oxide rod morphology. It was established that growth of the rods occurs direction perpendicular to the substrate using a thin (~ 1 nm) layers of the catalyst. With increasing thickness of the catalyst layer to 3 nm rods growth occurs at an angle to the surface of the rod with a mutual orientation in the plane of the substrate surface at angles that are multiples of 60 °. Also, the selectivity demonstrated growth ZnO rods arrays on portions of the substrate coated with the catalyst.
Keywords: zinc oxide, micro - and nanorods carbothermic synthesis method, film sublayer growth catalyst.

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In the present work we have carried out studies of the processes of growth of zinc oxide nanorods by hydrothermal method on silicon substrates. As sublayer catalyst used growth caused by laser deposition of zinc oxide, various thicknesses. Studied selective growth of nanorods on the microstructure of thin-film sub-layers of zinc oxide obtained by laser deposition. The optimal conditions for the synthesis of: the concentration of Zn (NO3) 2 - 0.4 mol / l, hexamethylenetetramine - 0.4 mol / l, the concentration of NH3 · H2O - 0,01 mol / L -0.01, process time 4:00, the process temperature is 80 ° C. Sublayer thickness of zinc oxide, as shown by experiment, the growth of the rods has no noticeable effect. Oriented arrays of nanorods were obtained up to 500 nm and a diameter of 60-150 nm.
Keywords: zinc oxide nanorods and micro-oriented arrays of nanorods, hydrothermal synthesis method, selective growth, thin film underlayer.

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Offers intelligent method of assessing the reliability of data (verification), in databases, based on the theory of artificial neural networks. The method consists of three steps: data clustering using the Kohonen network, training radial basic network and its computation using the validation database table rows. To create a radial basis networks and their training Backpropagation developed software tool. The proposed verification method of data can be used in various applications of information systems.
Keywords: database, relational algebra, verification, radial basis neural network training neural networks, Kohonen networks, clustering.

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The paper presents the results of the pilot study of perception of the political order of Rostov-on-Don on the end of 2011. The questioning method was used. In total 499 respondents were interviewed, and captured the age group from 18 years to 65 years. The purpose of questioning - the definition of the emotional component of the group political installation on the classical method of semantic differential Charles Osgood. A comparative analysis was carried out of the averaged semantic level of emotional portraits and making real political order. It is revealed the existing political order in Russia in general and the city of Rostov-on-Don, respondents were almost equally perceived negatively. It is shown the generalized probability perception of an order in Rostov-on-Don and in Russia will change at change of external conditions: at improvement of a situation will slowly increase, at situation deterioration the probability acceptance of an order will quicker decrease, up to zero and negative value.

Keywords: A political tension, semantic differential, factor analysis, the affective component, questioning.

This paper presents an analysis of the dynamics the emotional component of the group political installation installation by results of the researches carried out among students in RSCUbetween late 2009 and early 2011 by method of semantic differential. It’s shown the dynamics the average semantic portraits and designed for them the emotional level of perception of the political order. Emotional level’s are determined by the relative proximity of images the real order to images of an ideal positive and negative order, in the linear approximation in the framework of previously developed psychosemantic phenomenological model. It’s received lowering the level of perception during the study period from -0.1 to -0.3, that indicate the increase in political tensions among the respondents.

Keywords: a political tensions, semantic differential, factor analysis, the affectivecomponent, questioning.

The paper proposes a mathematical model of inter-symbol distortion compensation data transfer status RAT distillation devices using vector-matrix transformation. 
Keywords: mathematical model, the inter-symbol distortion distilleries RAT operator transfer and interaction Preemphasis vector.

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