Name
Laptev Vladimir Nikolayevich
Scholastic degree
•
Academic rank
associated professor
Honorary rank
—
Organization, job position
Kuban State Agrarian University
Web site url
—
Articles count: 51
The work is done in a scientific and practical ways to
minimize power losses in the transmission of
electricity in the interregional distribution networks
from the sources to the consumer by the use of tasks,
ensuring the gradual improvement in the support
program, not only from the standpoint of the efficiency
of reduction of transported power loss, but also due to
a significant decrease the complexity of the
calculations. The resulting shortage of electricity
power associated with its transfer to the electricity
networks, has demanded the need to find possible
ways of reducing the value of electricity losses during
transportation, both by improving and by optimizing
distribution net-works schemes. Consolidation into a
single set of electrical equipment, called the power
cluster is connected to the sources of power and energy
consumption, make better use of new principles of
control technology and the transmission of electricity,
on the basis of an automated monitoring system,
ensuring the redistribution of energy flows and
optimize them. The process of electric power
transmission and reduction in electric power loss can be considered on the basis of linear programming
problems, and their modification in the form of a
transportation problem, and as a result, the transport
matrix. On this basis, manipulating the data table, we
can find acceptable solutions, well and then determine
the best of them. As examples, this work has carried
out the study on the basis of the three methods -
"northwest corner", the method of minimum unit cost
of electricity transport, as well as the method of the
potential. The use of these three methods yielded
acceptable solutions, to identify the most appropriate
for the number of steps carried out at the decision, to
reveal that the winner is the potential cost method
The article considers problems of the exchange of
information between teachers, students and
departments of educational institutions. It analyzes the
advantages and disadvantages of traditional
approaches: email, chat via phone, social networks.
The questions of placement of information to large
numbers of users were revealed. We also revealed the
need to address issues related to the publication of
major events, administrative announcements of
educational institutions, which are visible to all users,
and are assigned to a specific date. We suggested an
approach to the publication of the activities of the
individual system modules. The article shows a
mechanism of mass mailings, providing users the
ability to transmit information to two or more
recipients and to ensure the exchange of information
that is available only to send the recipient, as opposed
to the "wall". We found an approach to increase the
quality of the educational process, allowing rapid
exchange of information between staff, students and
departments of educational organization on the
example of the system "Social network educational
organization." In the approach, it has been proposed to take the ideology of social networking and project it on
the specifics and needs of educational institutions,
which will allow rapid exchange between staff,
students and divisions (departments) educational
organization. The study analyzed data on the age of
users of the system over a period of 30 days
In the article the approach to increase of adequacy of semantic information models of management by knowledge after passage by modeled object of a point of bifurcation (change of ergodity period), realized in universal cognitive analytical Eidos system is examined
In this article, we present the fundamental theorem of
arithmetic and its role. We consider various rings for
its performance
To assess the impact of investments on the results of the Agro-industrial complex, we use an adaptive management system for open systems
The article considers development of expert system
based on semantic networks for diagnosis
malfunctions of the diesel power stations engines. The
method allows developing expert systems via objectoriented
programming language. The expert system
allows to identify the problem without involving
additional staff: at the start and overheats of the
engine, when there is low power, with decreasing
pressure etc
With development of integration processes in
agro- industrial complex there was an opportunity
of decrease of a sugar sub complex dependence on import of raw materials and development of its own raw-material base. Ways of development of integrated
industrial system of a sugar sub complex (IIS SS)
of agro-industrial complex became certain. Three models of its development are presented. Necessity
of integration in a sugar sub complex of agro-
industrial complex was substantiated.
Integration promotes decrease in costs under
production and processing of sugar beets, causing
that not only minimization of organizational costs,
but also the necessity of introduction of innovative technologies by producers. In the IIS SS there is
a necessity to create the selling service (marketing service, etc.) which promotes increase in its profit.
Consolidation (merger) of industrial systems in a sugar sub complex should be a controlled process of FAS.
The problem of acquisition of computer attacks is considered. It is demonstrated that it is a solution of combinatorial problems, and their solution is bound to fork of solving processes, with search of alternatives that grows fast at thickening of system of regularities. Such search is foregone, but it can be reduced to the reasonable magnitude, allowing solving problems of acquisition of computer attacks. Application of inductive forecasting of statuses will allow to inoculate knowledge base in an automatic mode, to shape the new rules and to delete the old ones
The article considers the most used methods and means of knowledge extraction taking into account the quality assessment of models in decision support systems. In scientific and practical terms, the possibilities of joint effective use of expert systems, data mining (IAD) and machine logical inference (MLV), which provides deeper data processing, taking into account the significant differences between databases (DB) and knowledge bases (BZ). DB is a unit of information unrelated to each other information, while BZ – not only related to each other, but also with the concepts of the world, which makes it possible to solve complex multi-criteria problems in various subject areas. Currently, increasing attention is paid to non-network technologies that have the ability to simulate nonlinear processes, work with noisy data, as well as the ability to learn and self-study, extracting essential features from the incoming information. At the same time, the integration of neural network technologies and artificial intelligence models into a single hybrid system together with the methods of logical inference in the form of a hierarchical sequence of the "If-then" rules structure significantly improves the understanding of the studied process and the quality of presentation of the result. Nevertheless, these methods and means of knowledge extraction are insufficient if the fuzzy linguistic inference mechanism is not used. The basic characteristic of fuzzy sets is the membership function, which is a generalized characteristic of a normal set. To set this feature, we use three types of shapes – triangular, trapezoidal and Gaussian type and two main procedures – phasefication and de-phaseification which is considered by the example of the method of Mamdani. Along with the stated most promising direction in this area is the adaptive gain algorithm called AdaBoost, where the limitation of the gain due to the filtering is to apply the subsampling circuit which has the normal contour of batch training, reusable training data. This provides an opportunity to work with weak models, and in the conditions of hybridization causes efficiency increase, strengthens the classifiers united in the "Committee". Each next set of classifiers is built on objects incorrectly classified by previous sets. AdaBoost is sensitive to data noise and emissions and is less susceptible to retraining, which can significantly reduce the number of examples and obtain better output in the DSS
The development of agro-industrial integration is an objective economic process involving, on the one hand, with the social division of labor and specialization, on the other - with the necessity of interaction between specialized sectors and modes of agricultural production. Agrarian enterprises come into this unification movement, seeking to reduce the risk, the occurrence of which is associated with the production depends on climatic conditions, natural agricultural products market, the dictates of the processing enterprises, the need to improve the competitiveness of production. Processing and service companies are also seeking to secure a stable income thanks to the raw material base, better use of raw materials, improving the quality of its products, decreasing the price and conquering markets. In most cases, the object is to integrate agriculture, and direct or indirect initiators often are non-agricultural plants and firms that concentrate the bulk of production and sales of AIC final product. As a result, the concentration of production results in savings on its scale, so-called technical-technological economy. Increased production expands beyond the optimal use of machinery and equipment. The more spread out are agricultural producers, so it is more difficult to realize their interests for scaling up. In the Russian practice we have developed a variety of organizational forms of integration differ in the nature of economic relations between the parties, the degree of independence of members of the business combination, the combination of centralization and decentralization. Conventionally, they are divided into associative - "soft" and corporate - "hard". By "soft" forms of association include associations, unions, non-profit partnership and a strategic alliance. They can function effectively at the interregional level. Hard type of integration ties characteristic of plants, corporations, trusts, holding companies. Agricultural credit consumer cooperatives (ACCC) is a voluntary association of individuals and legal entities residing or conducting their business activities in certain rural areas, on the basis of membership and monetary union shares in order to meet the needs of the members in the credit and other banking services