Name
Lutsenko Yevgeniy Veniaminovich
Scholastic degree
•
Academic rank
professor
Honorary rank
—
Organization, job position
Kuban State Agrarian University
Web site url
Articles count: 276
The article presents a theoretical substantiation, methods of numerical calculations and software implementation of the decision of problems of statistics, in particular the study of statistical distributions, methods of information theory. On the basis of empirical data by calculation we have determined the number of observations used for the analysis of statistical distributions. The proposed method of calculating the amount of information is not based on assumptions about the independence of observations and the normal distribution, i.e., is non-parametric and ensures the correct modeling of nonlinear systems, and also allows comparable to process heterogeneous (measured in scales of different types) data numeric and non-numeric nature that are measured in different units. Thus, ASC-analysis and "Eidos" system is a modern innovation (ready for implementation) technology solving problems of statistical methods of information theory. This article can be used as a description of the laboratory work in the disciplines of: intelligent systems; knowledge engineering and intelligent systems; intelligent technologies and knowledge representation; knowledge representation in intelligent systems; foundations of intelligent systems; introduction to neuromaturation and methods neural networks; fundamentals of artificial intelligence; intelligent technologies in science and education; knowledge management; automated system-cognitive analysis and "Eidos" intelligent system which the author is developing currently, but also in other disciplines associated with the transformation of data into information, and its transformation into knowledge and application of this knowledge to solve problems of identification, forecasting, decision making and research of the simulated subject area (which is virtually all subjects in all fields of science)
Insects are a major component of natural biocenoses
and agrocenoses. One of the largest and most numerous
families are ground beetles (Carabidae); their
number, according to various estimates, is more than
30,000 species. For Carabidae beetles it is common to
have different ways of eating, a place of habitation,
occupied layers, seasonal and daily activity. They live
both on the surface and in the soil, more rarely on
bushes and trees. The types of the family of ground
beetles – active beetles with long, thin antennae of
uniform thickness, long elytra and long legs, adapted
to running. Their sizes vary from a few millimeters to
10 cm. As active predators, ground beetles play a huge
practical importance, destroying pests before reaching
the last threshold, thereby providing a natural regulation.
Based on the fact, that the number of beetles is
large, and their sizes are sometimes only a few millimeters,
there is a problem of determining the species
of these insects (or their identification), therefore it
took a special tool, which, on the one hand, facilitate
obtaining data about these insects, and on the other
hand, would increase their accuracy. This article proposes
a new (to this subject area) approach to identify
different species of ground beetles along their outer
contour with the use of software tools for automated
system-cognitive analysis (ASC-analysis) – the universal
cognitive analytical system called "Eidos,"
which is well-proven in the study of other objects. The
reason why it was decided to use this system is that
normal (standard) identification of ground beetles,
have certain disadvantages: the human factor (manifest
error in the determination); quite time consuming; the
inability to increase the number of criteria to improve
the reliability of the model comparison. This article
aims to overcome these drawbacks, by the use of universal
cognitive analytical system "Eidos", the automated
system-cognitive analysis (ASC-analysis). A numerical example is given
In this paper, we investigate the stability dependence of integrated information content on the distance from the celestial bodies of the Solar System, with the change in the extensive pre-cases as the total number of cases, the implementation of the choice of social categories, and the number of categories. It was found that for each celestial body, there is a set of categories in which the depend-dependence of the integrated information content of the distance is determined with the greatest certainty. A model of the gravitational sensitivity, based on the mechanism of hormonal regulation of heat and pressure is discussed.
Demand to the method of statement of problem is substantiated and degree of known methods
correspondence to these demands is determined,
the most available method of problem decision is
chosen by the substantiated criteria, the essence of chosen problem and the method of its application to decide the problem in view, including synthesis of semantic informational model and evaluation of its adequacy are described in brief as well.
In the article, we develop the methodology of strategic planning and management of a holding, on the theoretical basis of automated system-cognitive analysis (ASC-analysis). This methodology provides scientific research of any holding by creating and researching its model. The methodology includes both the synthesis, adaptation and verification of system-cognitive models of the holding, and the use of these models for strategic planning and decision support for the management of the holding, as a complex, multiparametric, nonlinear system. The relevance of the research is due to the special role of holdings and other corporate integrated structures both in Russia as a whole and, in particular, in the Krasnodar region. Despite obvious system advantages, holdings face a wide range of problems related to management efficiency, ensuring their sustainable functioning, etc. The proposed methodology offers ways to solve these problems and can be successfully applied in holdings and other corporate integrated structures of various regions, volumes and areas of activity, which determines the relevance of the research topic. The level of significance and scientific novelty of the Research consists in the development of conceptual and theoretical and methodological provisions aimed at managing the development of holdings. The expected results and their significance are that the methodology developed as a result of the Research can be applied by holding companies and other corporate integrated structures and will significantly improve the quality of their management
The article is devoted to the solution of the problem which is the fact that on the one hand, the rating of Russian universities is in demand and on the other hand it hasn’t been created yet. The proposed idea of solving the problem consists in the application of domestic licensing of innovative intelligent technologies for these purposes: we have suggested using an automated system-cognitive analysis (ASC-analysis) and its software tools – the intelligent system called "Eidos". These methods are described in detail in this context. It is proposed to consider the possibility of applying these tools on the example of the Guardian University ranking. The article discusses its private criteria (indicators of universities). We specify the sources of data and the methods of their preparation for processing in "Eidos" system. In accordance with ASC-analysis methodology the article describes the installation of "Eidos", the data input into it, and the formalization of the subject area, synthesis and verification of models, their display and use to solve problems of assessment of the Guardian rating for Russian universities and research object modeling. It also discusses the prospects and ways of development of the integrated rating of Russian universities and operation of rating in adaptive mode. We have also specified the limitations of the proposed approach and the prospects of its development
Sense of semantic information model SC- analysis is described on the simple example in the article. Results of synthesis and verification of systems of individual models, entering the two-level semantic information management of agro industrial holding.
In this article, the authors have conducted a survey of the system-cognitive model for forecasting and support of decision-making of the choice of agricultural technologies in the production of grain, providing the desired economic, energetic, financial and economic results with high probability
The article basically formulates the problem of effective forecasting of results and acceptance - making on the choice of agricultural technologies to produce the desired result. We have offered and proved the possi-bility of forecasting and management in grain production through the application of artificial intelligence technologies, in particular - the method of systemic cognitive analysis
This article at first time presents the synthesis and verification of systemic cognitive model of natural economic system, we have also justified the opportunity of forecasting and decision management, the strategic decisions of the choice of agricultural technologies