articles
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The transmission of data in multichannel systems with many carriers is implemented in order to increase
the reliability of delivery of data messages. The article is dedicated to the solution of problem
of optimal use of the available frequency band (limitations on power capability of the transmitter and
complexity of the receiver should be taken into account). The construction of the adaptive system,
which can be used for the determination of optimal set of frequencies for data distribution, requires the
usage of cellular neural networks. These networks can be used for the analysis of signal environment
and selection of set of carrier frequencies. Characteristics of cellular networks correspond to principles
of fast tunable transformations, which can be effectively implemented at the hardware level. The reduction
of the number of synaptic connections increases the computational efficiency and makes it
possible to use such networks for processing of high-dimensional data. The article considers the structural
synthesis of the cellular network, which has optical connections between neurons and has a high
efficiency in data processing. The proposed connections can be used as a basis for the construction of
modular intellectual structures, which consist of homogeneous fragments. The neural network learning
is implemented with the help of methods of local learning (with elements of the swarm intelligence).
The presence of 32‑bit microcontroller in every neuron core justifies the use of this strategy (despite
high memory requirements). The proposed modular structure effectively combines the local learning
of neural structures and global learning of the whole network. The evaluation of the obtained set of
frequencies at specific moments of time proved the effectiveness of the use of reconfigurable cellular
neural networks. The structure of such network can be optimized for a specific computational task. The
unitization of the structure allows you to simultaneously construct a large number of networks. Such
approach makes it possible to form a large number of carriers within the predefined frequency band.
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№ 5(71)
31 october 2017 year
Rubric: Actor modeling Authors: Bulygina O. V., Emelyanov A., Emelyanova N. |
The tasks of priorities assignment to applications, work, actions and simply objects of activity are
decided long ago and in different ways. In purely technical systems, including computer and communication
systems, where serving processes can be programmed explicitly, such tasks are considered to
be practically solved, because: first, two counterprocesses are analyzed (the service process and the
waiting process), If the serving node is busy, and secondly, the time parameters are taked into account
mainly. In this case, as a rule, the waiting time for some classes of applications is minimized. However,
in schemes of multi-nomenclature productions, especially high technology products, the efficiency
of production or the production site depends not only on the direct losses of time, since delays can be
evaluated in a different way, taking into account the funding resources, urgency resources and even the
administrative resource. Therefore, clear rules and algorithms can become fuzzy, and the task of minimizing
losses is complicated. This article is devoted to the joint application of simulation modeling and
fuzzy logic algorithms in the tasks of priorities operational assignment for application in technological
hubs. Particular attention is paid to the development of a unified program function for fuzzy priorities
assignment in models created through the licensed software package Actor Pilgrim. The information
links of this program function with the internal atomic data structures of simulation model are also
considered. The considered models are intended for use in two-scale adaptive fuzzy control systems.
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The article states an overview of some current problems in operational properties of agile systems
and their functioning and their relation to information technologies usage. Operational properties defined
as properties characterizing the adaptability of systems required for achieving the possible targets
during their operation. Reaching the possible targets means getting the possible effects (major
results) of the operation, complying with targets, and while under possible conditions. A conclusion
on the prospects of the analytical estimation of the operational properties is provided. The operational
properties of agile systems analytical research concept provided. The main features of the research
conducted on the operational properties in the view of the current tasks of their research are provided
as well as the analytical modeling concept and invariants for analytical estimation of the operational
properties applicable to the problems discussed. Example of modeling for effects of agile systems functioning
provided. The obtained results should lead to a solution for the contemporary problems of the
operational properties of agile systems research using mathematical models.
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The continuous development of computer technology opens more opportunities for its application
in creating smart and effective computer vision systems (VS), aimed at solving problems related to
digital image processing and object recognition.
VS is especially needed in the areas of science and technology requiring the use of contactless methods
for measuring various parameters of the objects. The main task for the improvement of VS is the
improvement of existing and development of new methods for facilitating the expansion of functionality
of these systems. The urgency and relevance of VS are considered on the example, which presents
a model of conducting aerial reconnaissance.
Tactical unmanned reconnaissance aircraft makes for the departure shot of a certain area. The shooting
is done at height and with the resolution necessary for confident recognition of targets like «tank»
or «car». The area of goals that you want to detect and recognize then on the received intelligence, is
very small compared to the whole area of the earth’s surface, entering the frame. It was found that on
analysis of the entire survey, by visual inspection of time you will need many times more than it spent
on its implementation. Thus, the main problem lies in the fact that the volume of intelligence information
obtained through imagery intelligence is huge and it requires considerable time for processing.
Expediting the processing of intelligence information is only possible by parallelization of the
processing and/or automation using the technical means like VS.
Accordingly, it is necessary to the development of contactless measurement methods based on the
methods and means aimed at the solution of similar tasks that require processing of large amount of
optical data over a short period or in real time.
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№ 5(71)
31 october 2017 year
Rubric: Instrumental methods of economics Authors: Yakovenko I., Matveeva L., Streltsova E. |
The article is devoted to creation of IT-based tools in economic-mathematical models of management
of the interbudgetary regulation in the structure region — municipality. The object of control is
a budgetary Fund of the municipality. The complexity of behavior occurs due to the presence of many
modes of operation of the control object caused by a change in the structure of revenues in municipal
budgets at the expense of use of means of budgetary regulation. In this case, financial assistance can
be replaced by deductions to local budgets from federal and regional taxes on the norms that are set at
the regional level. The existence of various modes of operation is due to a change in the list of taxes,
part of the proceeds from which are transferred to the municipality according to established standards,
which are taken for structural conditions. To formalize the formulation of the problem of managing
interbudgetary regulation, the article proposes the principle of coordinate-structural control, which allows
one to take into account the variations of discrete structural states. A conceptual model of management
of interbudgetary regulation in the form of a complex of interacting dynamic systems is proposed:
continuous and discrete. A continuous dynamic system realizes control in the continual region
of the finite-dimensional space of income and expenditure and is constructed in a class of simulation
models. To formalize the functioning of a discrete dynamical system, a model of a stochastic automaton
functioning in random environments has been developed. The article proposes the structure of a
stochastic automaton with selective tactics. Formal expressions are obtained for the final probabilities
of an automaton in each of its states. The automaton of the proposed structure has the property of expediency
of behavior and asymptotic optimality in the choice of the norms for the distribution of taxes
between the levels of the budget system. The article presents the results of the software implementation
of the simulation model. The use of model tools in practice will make it possible to increase the degree
of validity of decisions taken on interbudgetary regulation by means of their quantitative assessment.
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№ 5(71)
31 october 2017 year
Rubric: Instrumental methods of economics Authors: Vygodchikova I., Gusyatnikov V. |
Adoption of effective management decisions often involves the need to analyze large amounts of heterogeneous,
poorly structured and noisy information. Therefore, urgent task is creation the decision
support system, which allows elaborating rational strategy, even in the face of heterogeneous information,
and unsustainable trend. In article developed numerical method and algorithm of solving the
problem of approximation data by polynomial splines using minimax optimization criterion. By this
algorithm the decision support system for finite number of iterations obtains unambiguous result and
generates rational proposals to the decision maker.
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