In the work, on the basis of the apparatus of fractional integro-differentiation, the mathematical models of heat-and-moisture transfer and of deformation-relaxation processes in the medium with "memory" effects and self-organization are constructed. Numerical implementation of the mathematical models of heat-transfer and moisture-transfer is based on the adaptation of the predictor-corrector method. That is why the mathematical models obtained in this work are in a finite-difference form. For the explicit difference scheme, the stability conditions are determined on the basis of the met
The mechanisms of self-organization of information heterogeneous networks have been analyzed in this article and new indicators and criteria for defining functionally stable networks have been suggested in accordance with the concept of SON, as well as a mathematical model of relevant network processes based on hypergraphs providing the required parameters and performance indicators of the mentioned hypernet has been rigorously substantiated. Due to the suggested indicators and criteria, we can evaluate and compare different structures of the high-connectivity networks, and apply them to t
In this research the actual problem of self-organizing of strategies of stochastic game of multiagent systems is considered. Self-organizing display are formations of the co-ordinated behavioural patterns of group of the mobile agents endowed with the ability to move within a limited discrete space.
Presented the basic theories and algorithms with the help of which common coordinated actions of a group of objects are achieved. To research the joint work of a group of drones (UAVs) capable of self-organization, using the theory of swarm intelligence. The method of organizing the interaction of a group of UAVs in the environment, by dividing the group into local subgroups, is considered. The proposed algorithm to prevent possible collisions of neighboring UAVs by recalculating the flight trajectory.
Processes of self-assembly were studied in the magnetic polymer carbon nanocomposites doped with cobalt nanoclusters. These processes proceed due to the diffusion of magnetic nanoparticles stimulated by a combined effect of an outer steady magnetic fields and heating. The obtained polymer composites are promising for practical applications.
The present article is dedicated to elucidating the issue of possibility to forecast movement of migration system, which immediately affects the community of states, tolerance and leniency towards migrants as necessary elements of the migration system, their conscious conduct in the field of observance of legal provisions and respect towards culture, mentality of population of the host country, which is also an element of this open system.
This article deals with the explanation of the meaning of such notions as “synergetic effect” and “synergy” and the need for application of synergetic concepts in the study of migration. Determination of the need for a new complex of the methods and views on the system of migration: it has to be studied as an integral unity formed by the structural order of its component elements to achieve the synergetic effect. The article states, that the ideas of synergy deserve special attention when defining the system of migration.
In the article the modified paradigm of bee colonies for hiking trails through the solution of combinatorial problems on graphs: the selection in the column independent subset of vertices of maximum pairing in column coloring graph, click in the selection box are studied. Based on the analysis of behavioral models of self colony of bees, methods and mechanisms of formation of the ideas are developed, the formation of combinatorial problems on graphs is discussed. Methods of forming search space are studied. Position in the search space is represented as an ordered list.
This article is dedicated to the issue of differentiation of the controlled though sophisticated structure and chaos of the system of migration, stability, dynamics of the system of migration, and the course of changes in relation to irritants. The study of migration synergy, including both the invariable characteristics (general signs of this phenomenon), and variable characteristics (selforganized and spontaneous order formation) of migration, sources of self-motion of the system of any (animated or inanimate) nature is recognized as ability to self-organization peculiar to it.
In wireless sensor networks (WSN) is important task of self-organization networks. There are many different algorithms for self-organization of such networks. This choice determines the relevance of pre-emptive self-algorithm network with the additional information obtained from experts. In the article features practical application of the analytic hierarchy process to select a preferred algorithm for self-organization in wireless sensor networks.