The aim of the work was the development of the original architecture of an integrated information system for analysis of the potential of renewable energy sources. The required functionality of system has led to the solution of a number of problems in the development of appropriate software modules that implement methods, models and algorithms for assessing the energy potential and economic efficiency of the use of renewable energy sources (RES). This required the solution of the following problems: adaptation of existing and development of new methods for analyzing the potential of RES at various territorial levels using modern technologies of geographic information systems and computer technologies were accomplished; models for the assessment and calculation of the potential of renewable energy resources were developed; techniques for assessing of the economic effectiveness of decisions made for using of RES were adapted; architecture of the information system was developed and the choice of technologies and means for its implementation was made; algorithms of software modules and their interaction as a parts of the information system were developed. A distinctive feature of the architecture were flexibility and openness for the expansion and implementation of additional functionality, in particular the development of special algorithms and software modules for interacting with the database and a graphical Web-based user interface that provides the ability to work with cartographic information. The development and implementation of this system is a modern up-to-date scientific and practical task, the solution of which will create conditions for increased use of RES in RB and improving the country’s energy security. The results of conducted researches and completed developments can be used in the system of the Ministry of Natural Resources and Environmental Protection of RB, in particular for maintaining of the state cadastre of RES and making of management decisions.

The problem of analytical synthesis of a control signal by a linear dynamical system is considered. As an optimization criterion, it is proposed to consider the transition time of the system from the initial state to a given final state. This type of control is called forced, providing the maximum system speed. The principle of solving this problem is considered on the basis of application of uncertain Lagrange multipliers and the Pontryagin maximum principle. Expressions are obtained for the matrix of transitions of the system and the control signal in a vector form.

As an example, the electric drive described by the widespread second-order mathematical model is considered to evaluate the efficiency of the proposed method. Qualitative illustrations of the operability of the proposed approach, obtained by modeling in the Mathcad environment, and quantitative characteristics of the change in the input and output signals of the hypothetical control system are presented. It is shown that the use of forced control does not lead to the output of variables characterizing the state of the system, beyond the limits of admissible values.

The use of forced control makes it possible to synthesize the control law in the form of a sequence of rectangular pulses of constant amplitude determined by the power source, variable duty cycle and polarity. This approach can be used for the control of DC-type DC motors used in various tracking systems used on unmanned aerial vehicles. Key words: forced control, target function, electric drive, pulse train. The use of forced control makes it possible to synthesize the control law in the form of a sequence of rectangular pulses of constant amplitude determined by the power source, variable duty cycle and polarity. This approach can be used for the control of DC-type DC motors used in various tracking systems used on unmanned aerial vehicles.

The classical approach to the design of hydraulic drives includes complex calculations and real tests, which is a resource-consuming process. Reduce the cost of design allows the introduction of the development of simulation modeling and CAD / CAM / CAE / PDM automation complexes of the production cycle of enterprises. Modeling allows us to use systematic basis methodological achievements of the theory and practice of hydroautomatics for the design of hydraulic devices to accumulate in the orderly form design experience and provide model support for the life cycle of these products. The article deals with the modern approach to the design of hydraulic drives. A type of a preliminary evaluation of hydraulic drive characteris-

tics is given in the example of a hydrodrive of a lifting and mast device. The principle and design schemes of the hydraulic drive are chosen, and a mathematical model is compiled on the basis of the requirements for hoisting and mast devices. A simulation model of the drive is developed on the basis of the mathematical model, consisting of several separate parts connected together. Parts represent a mixed structure of blocks that describe processes in mechanical and hydraulic systems. For visual display an animated 3D model has been created that allows you to observe the progress and results of the simulation. During the calculations, the position dependence graphs of the each link of the lifting and mast device on time, as well as pressure and flow on the safety valve were obtained. Conclusion, based on the results of modeling, was made about the adequacy of the application of models for estimating the characteristics of the projected hydraulic drive in the first approximation. It is recommended to develop such models at the stages of outline and technical design.

Questions of application of microprocessor systems for their automation are considered an automation condition on existing designs of truck. It is noticed that now the majority of truck exhausted in the CIS are automated only partially. By automation are captured: control, preliminary treatment of a condition of systems and the information on them; control of start, partially control by power-plant work; control of sprinkling fuel; control of power supply; control of brakes, antiblocking systems, airbags; climate control maintenance; illumination.

Scopes of microprocessor systems in cars and microcontrollers used for this purpose taking into account that now it is required to expand areas of automation of systems of cars considerably are considered. The analysis of systems and the functions which are subject to automation for truck and special cars is carried, questions of application of microprocessor systems for reception of experimental data on roads (microprofile and longitudinal cross-section) and their use at car modelling, and also maintenance of road safety: distance maintenance between cars, control of blind zones; an exception засыпания the driver during movement, reduction of harmful influence from noise and vibrations.

It is offered complexing realised functions and systems of their control. The short description and a substantiation of expediency of application of means of automation on the basis of the cheap microprocessor modules Arduino is given, allowing considerably to reduce quantity of used microcontrollers. Block diagrammes of realisation of problems of traction dynamics in package MatLab/Simulink, transformations and horizonting of truck and special cars by means of MC Arduino are resulted. Recommendations to introduction of systems of automation for truck and special cars are made.

Physical quantities are distinguished from non-physical quantities the method of measurement. In addition, when measuring physical quantities, the concept of identical objects is considered. For example, is equally likely outcomes in classical probability theory or equality of scale interval of a measuring scale. For nonphysical size we will take measurements by subjective estimation in an order scale, but also to use an undefined notion of the sequence of equally different objects. This approach has been used successfully in some researches for subjective characteristics of the objects. For example, the sequence of stars in the sky of various brightness or levels of difficulty of the test. The numbers of members of such a sequence are called ratings. Having defined rating, it is possible to find values of size if to consider that to equally different objects there corresponds the identical result of paired comparison. As the expert compares objects, without determining the sizes of objects, it is natural to assume that the way of comparison is not known to him. It means that as mathematical model we defined an indirect way of finding of values of nonphysical size at an unknown way of comparison. Having chosen a way of comparison, each object can put number which we will call the subjective size of an object in compliance. In a metrology of ways of numerical comparison of physical quantities only two is a difference and the relation. Therefore at assessment of subjective sizes we will be limited in two ways – a difference and the relation of the sizes of sizes.

As an example of application of the theory the functional communication, between physical quantity and nonphysical size, established by empirical laws is analyzed. It is noted that Fekhner and Stephens’s empirical laws use a difference or the relation of subjective sizes. But the difference or the relations of sizes can be expressed through the difference of ratings. Therefore there is an opportunity for each law to receive a ratio between the difference of ratings and physical quantity. Coincidence of two laws of Fekhner and Stephens, after transition to rating, confirms reliability of our model.

The paper presents an attempt to apply of evolutionary methods to the design and training of a system for recognizing distorted text.

Over the past decades, artificial neural networks are widely used in many areas of artificial intelligence, such as forecasting, optimization, data analysis, pattern recognition and decision making. Nevertheless, the traditional heuristic approaches to design of multi-layer neural networks are based on the recombination of already existing neural network architectures.

This approach allows us to solve a wide range of problems, but implies compliance with specific conditions for the quality work of algorithms.

The natural analogues of such intelligent systems in living nature, however, are universal enough to adapt to virtually any habitat.

Despite their extreme complexity and limited ability to study their structures, it is known that these structures were formed as a result of the evolutionary process. And if today it is impossible to determine the exact architecture of the links in biological neural systems, then at least one can try to reproduce the very process of their formation in order to obtain a more universal algorithm than those developed to the present moment.

In opposite to them we form the final structure of the core of the classification system by evolutionary process, taking into account the knowledge about the features of the development and construction of the nervous system of vertebrates.

Applying of the approach makes it possible to abstract from the limitations of existing neural network algorithms, caused by the scope of application of specific types of their structures.

The importance of using the adapted DLP-system in the «Blocking» mode of leaking confidential information of the company is investigated. The scheme of interception of information security events in the «Copy» mode is given, the analysis of which reflects the main drawback of using this mode – the DLP-system works only with copies of confidential documents, while the originals were delivered to the recipient. Such cases inflict enormous damage on companies, so the transfer of critical information beyond the corporate network is unacceptable.

A solution is proposed for transferring the operation of the DLP-system from the «Copy» mode to the «Blocking» mode. It is important that the operation of the DLP-system does not hinder the staff members from performing regular operations and does not hinder business processes. Therefore, it is mandatory to adapt the standard DLP-system to the specifics of the company’s activities. After that the transition of the adapted DLP-system to the «Blocking» mode is carried out.

Developed: the transition procedure of the adapted DLP-system from the «Copy» mode to the «Blocking» mode, the scheme of the event capture by the DLP-system for the two modes. The main channels of data leaks were investigated, the main leaks were identified by the data type and by the transmission channel. The analysis of the DLP-system operation in the «Blocking» mode is performed.

This article describes a novel approach to discriminating native and nonnative utterances based on suprasegmental features that constitute the intonation of the syntagma. In each language speech presents a diverse number of suprasegmental phenomena, which working together, create a certain coloring of spoken speech, intonationally giving out the emotional involvement or detachment of the speaker. To any language, there is a variety of intonational patterns, which were first identified as such by E. A. Bryzgunova, and are used for teaching Russian as a foreign language by I. V. Odintsova. According to the seven basic intonational patterns of E. A. Bryzgunova, BM Lobanov created the universal melodic portraits (UMP), which can be normalized in time in accordance with the position of its pre-nuclear, nuclear and bender parts. With the help of intonation, information is transmitted at the linguistic and paralinguistic level. A lot depends on correct intoning: perception, understanding and meaning. A thought covered in words with the right acoustic pronunciation gives a correct impression of things in human mind. Thus, the so-called interference while studying a foreign language is excluded. Linguistic and acoustic resources provide the basis for computer-aided intonation training in and outside the classroom. There is a great need for new and innovative computer-aided programs. But there is no necessary software available for such teaching system and, therefore, such system appears to be of great relevance. Presented work describes as well the algorithm of designing of the computer-based system for analysis and interpretation of speech intonation.

The article deals with the analysis of distance learning (DL) methods, approaches, technologies, tools, the use as known online services so and developing the new ones. The terminology in area of DL is discussed and differences between correspondence course and DL are done. The development tendencies of distance learning are analyzed. Their technical and organization components are done. The course programs for DL are realizing by software which functions are shown. The typical lines of DL, their advances and lacks are conceded. As DL advances are self activity, individuality, independence and so on. As DL lacks are insufficiently individual, psychological, practical aspects, writing forms of DL and so on.

Technologies and organization of DL including IT are discussed. The tutor activity is divided on two stages: decision of methodological, organizational problems and realization of distance courses. The various kind of online services in DL such as chats, web, TV, video conferences multimedia, robot learning, web-services are shown. Such IT for DL as CD, net, TV, satellite, cloud are discussed.

The models of integration decisions for DL development such as Remote Procedure Calls (RPS), Enterprise Application Integration (EAL), Web-Services (WS), Enterprise Service Bus (ESB) are proposed. The content of e-learning online services including intellectual technologies and cloud computing are done. As new one integration method for DL is Semantic Web and Web-service (SWWS) with knowledge representation support on ontology base and knowledge processing on agents support are representation.

Artificial neural networks (ANN) are now widely used in control and forecasting problems. The purpose of this work is the implementation of an artificial neural network for virtual objects control in a computer game of football. To achieve this goal, it is necessary to solve a number of problems related to mathematical modeling of ANN, algorithmization and software implementation. The paper deals with the mathematical modeling of an artificial neural network by the method of back propagation of an error, the algorithms for calculating neurons and for teaching ANN are presented. The software implementation of the artificial neural network was performed in the JavaScript language using the Node. js library, which assumed the role of a server for managing the game process. Some functions of the Underscore. js library were used to work with data arrays. The training sample consisted of more than 1000 sets of inputs and outputs, reflecting all possible situations. The results of software implementation of an artificial neural network are described on the example of virtual players control for a computer game. The results of the work show that ANN with a sufficiently high speed in real time gives the necessary direction for the player’s movement. The use of an artificial neural network has reduced the use of CPU time, which is extremely important in problems where rapid decision making is required, because complex calculations and prediction algorithms can not always be invested in 20 ms, which is fraught with skipping moves and losses. The simulated artificial neural network and the implemented algorithm of its learning can be used to solve other problems, for which only new data of the surrounding world are needed.