The article scopes the hardware and software of the information system for pre-contractual real-time analysis of requests feasibility for supplying of Earth remote sensing data, which is an integral part of the Belarusian Space System for Earth Remote Sensing. The main purpose of the development of this information system is the creation of computer-aided system for real-time analysis of customers’ requests feasibility by using the resources of two space vehicles. This system is a decision support system in the pre-contractual phase on the everyday business practice. This automation activity is solved using multicriteria optimization approaches. The created information system allows to speed-up calculations and increase its quality as well as to augment the precision of assessment of space images acquisition by including the resources of two satellites during the requested period of time. This system has passed the evaluation test for both satellites and may be further used as the base for real-time analysis of requests feasibility taking into account the resources of several space vehicles.

The article presents the results of an analytical review and comparison of the most common managerial decision support technologies: the analytic hierarchy method, neural networks, fuzzy set theory, genetic algorithms and neural-fuzzy modeling. The advantages and disadvantages of these approaches are shown. Determine the scope of their application. It is shown that the hierarchy analysis method works well with the full initial information, but due to the need for expert comparison of alternatives and the selection of evaluation criteria has a high proportion of subjectivity. For problems in the conditions of risk and uncertainty prediction seems reasonable use of the theory of fuzzy sets and neural networks. It is also considered technology collective decision applied both in the general election, and the group of experts. It reduces the time for conciliation meetings to reach a consensus by the preliminary analysis of all views submitted for the plane in the form of points. At the same time the consistency of opinion is determined by the distance between them.

The paper presents an approach to solving the overloading problem in TCP/IP networks. Offered fuzzy controller with two inputs for system of active queue management packages in TCP/IP networks, and investigated its use in these systems with a random change of traffic load. Proposed controller has two inputs, one of which is the value of the difference between the current queue length and the second – the difference between the current level of usage of the buffer. The output of the fuzzy controller calculates the probability of discarding packet.

Mathematical model system of active queue management that is studied is presented in an interactive MATLAB system, in wherein also is demonstrated the processes occurring in the system with a random change of traffic load. The research results show that the AQM-system with fuzzy controller with two entrances stable enough maintains the desired current length the queue for sufficiently small values of the probability of dropping/marking packets (at acceptable size of queue q0= 200 packets, the average probability of dropping / marking is not more than 3,5×10–3 or less 0,35% packets is discarded or marked from the total number of incoming packets). The results obtained will help improve the efficiency of the functioning and operation of TCP / IP networks by increasing data transmission quality. this happens due introduction of the proposed controller at the design of new, more efficient routers for networks to minimize the delay of information.

Designed component model of the source of errors in real discrete channels of data conversion, based on the joint use of the channel within dependent generalized errors and channel with correlated errors pack image on the background of independent errors. Organization of burst errors in a channel based on the generalized implementation of the principle of compression of individual sections of the background in dependent error that causes the formation of plots, completely free of errors. The presence of such sites in infallible conversion channel does not reflect the actual processes of errors, which leads to the need to share the channel with generalized packet errors and channel errors independent background that provides the background presence of errors in all areas except the packet. Such an approach to errorstream naturally corresponds to the nature of the formation of errors in real data conversion channels. In addition to this, the correct determination of the length of burst errors in the composite model of the source of the error allows maximum use of corrective properties of the codes with the concurrence of the lengths of codewords and error packets, correctable codes.

The goal of this articl is to improve acсuracy and stability margine for system with proportional differential (PD)-controllers and parameters unsertaity by means of adaptation. The adaptive controller must produce the accuraсy improving by encreasing the proportional gain of controller, when the error is non zero. Consequently, the error decrease, adaptation become less intensive, and the system maintain the stability. The is provided by the correctly constructed Lapunov function. The method of parametric synthesis for adaptive PD-controller is developed based on roots location on complex plane. The numerical example of synthesis is presented with simulation results, which demonstrate the correctness of developed method. The adaptive PD-controller allow accuracy improuving with stability retaining, i. e. the adaptivity is able to replace the integrator by proportional gain tuning. The adaptive PD-controller is especially helpful for systems, working with inputs variability, and when the exponential dynamic is of importance. In cases, when diturbances are restricted, the adaptive PD-controller provides the stability and accuracy, but slowly operation.

The short review of microcontrollers of family Arduino, their characteristics and application fields is given. Importance of record of parameters of researched object is marked to produce debugging of control systems on microcontrollers Arduino. Unique possibility of registration of parameters in family Arduino is record on SD a card in an alpha mode with usage of functions print (), write (). The problems connected to record of the binary data on SD a card on microcontroller Arduino Due are considered. The analysis of methods of record of the binary data on SD card Arduino Due, originating problems with neo-cleaning of memory from the previous program leading to possibility of duplication of the data on SD to a card, presence of the erratic point of view about restriction of volumes of data record and necessity of usage become outdated SD cards is carried out. Ways of elimination of the marked lacks are considered. The estimation of high-speed performance of various approaches of a data recording on SD a card is led. On the basis of the led researches the approach of multiplexing of the writeable information at the expense of conversion of the binary data is offered is byte-serial in a character array in code ASCI without magnification of their volume and record by units on 240 byte. It allows to use as much as possible standard function possibilities write () Arduino and specificity of the organization of memory SD of cards and to increase high-speed performance more than in 1100 times in comparison with record in a character type on one byte.

It is marked that usage of decisions of an exception of duplication of the data offered at forums does not provide completeness of their elimination. For Arduino Due for storage cleaning it is necessary usages of the special programmator or setting of the new program of loading.

Using of information technologies and, in particular, learning management systems, increases opportunities of teachers and students in reaching their goals in education. Such systems provide learning content, help organize and monitor training, collect progress statistics and take into account the individual characteristics of each user. Currently, there is a huge inventory of both paid and free systems are physically located both on college servers and in the cloud, offering different features sets of different licensing scheme and the cost. This creates the problem of choosing the best system. This problem is partly due to the lack of comprehensive classification of such systems. Analysis of more than 30 of the most common now automated learning management systems has shown that a classification of such systems should be carried out according to certain criteria, under which the same type of system can be considered. As classification features offered by the author are: cost, functionality, modularity, keeping the customer’s requirements, the integration of content, the physical location of a system, adaptability training. Considering the learning management system within these classifications and taking into account the current trends of their development, it is possible to identify the main requirements to them: functionality, reliability, ease of use, low cost, support for SCORM standard or Tin Can API, modularity and adaptability. According to the requirements at the Software Department of FITR BNTU under the guidance of the author since 2009 take place the development, the use and continuous improvement of their own learning management system.

Decision Support System – a powerful tool that is present now in the most complex systems. Decision Support System should take into account the strength of the interaction with the student learning environment. This ensures a high level of knowledge and ability of their application by alumni.

The method of learning process modeling of this system in terms of statistics is examined. This paper proposes a statistical synthesis of a decision support system for the case by use of a positive feedback loop takes into account the intensity of the interaction between the students and the learning environment. Synthesis carried out by the criterion of minimum posterior probability of receiving an unsatisfactory assessment on the exam (test, offset). Synthesis carried out under the following assumptions: the intensity of the interaction of the learner with the learning environment is a discrete value, the space state student assessment is a finite and discrete, the process of passing the adaptive educational resources (consistent implementation of the study and the sections of the technical discipline) is probabilistic in nature and is modeled by a Markov chain. It was assumed that the transition probabilities of the interaction intensity of the same, the transition probability density estimates is allocated in accordance with the truncated left and right of a Gaussian distribution (the procedure for determining the expectation of a Gaussian density estimation and standard deviation in the article described), and the a priori probability density for the first step can be approximated Gaussian probability density based on a priori information on the results of the student to him for study providing disciplines. The illustrations amply illustrate the main results of the study. Evaluation of the intensity of the interaction with the student learning environment in the article is defined as a discrete estimate of the maximum a posteriori probability density.

The results allow to realize the synthesized system in practice. To assess the adequacy of the model developed by the authors pedagogical experiment was carried out, the nature and the results of which will be given in subsequent publications.