Scientific Journal of KubSAU

Polythematic online scientific journal
of Kuban State Agrarian University
ISSN 1990-4665
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Name

Lutsenko Yevgeniy Veniaminovich

Scholastic degree


Academic rank

professor

Honorary rank

Organization, job position

Kuban State Agrarian University
   

Web site url

lc.kubagro.ru

Email

prof.lutsenko@gmail.com


Articles count: 276

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841 kb

RESEARCH OF CHARACTERISTICS OF INITIAL DATA OF AGRO INDUSTRIAL HOLDING AND WORKING OUT OF PROGRAMMING INTERFACE OF THEIR UNITY AND STANDARDIZATION (FORMALIZATION OF SUBJECT SPHERE)

abstract 0410807012 issue 41 pp. 215 – 246 15.09.2008 ru 3004
Initial data for designing of two-level semantic information model of management of agro industrial holding are analyzed in the article, task of their automatizing transformation to the form, directly sensing by the system “ AIDOS ” with the help of one of its standard interfaces is positioned and solved. Algorithm and initial program text, providing these functions, results of its work and automatically formed handbooks of classes and factors on their base by the system “ AIDOS ”, training fetch for private models, entering the two-level semantic information model of management of agro industrial holding are casted as well.
468 kb

SYSTEMIC - COGNITIVE APPROACH TO THE DESIGNING OF MULTI-LEVEL SEMANTIC INFORMATION MODEL OF MANAGEMENT BY AGRO INDUSTRIAL HOLDING

abstract 0410807011 issue 41 pp. 194 – 214 15.09.2008 ru 2947
Management problem of agro industrial holding is formulated in the article in general, from one hand, it is necessary to work out recommendations and adaptive model on holding management for it, and from other hand, designing of its model is difficult because of high complexity and dynamics of inner logistics of an management object, its territorially distributed and multi branch character, large amount of economic indexes, characterizing its activity on different levels of its organization. General method of formulated problem decision by means of systemic-cognitive approach is offered. First stage of model synthesis is described: cognitive structure formation of private models, entering its multi-level semantic information model.
2579 kb

RESEARCH OF TWO-LEVEL SEMANTIC INFORMATION MODEL OF AGRO INDUSTRIAL HOLDING

abstract 0420808003 issue 42 pp. 35 – 75 14.10.2008 ru 2938
Research of two-level semantic information model of agro industrial holding means research of holding by itself, because verification of model showed its high adequacy.
753 kb

APPLICATION OF SC-ANALYSIS AND THE "EIDOS" SYSTEM FOR THE SYNTHESIS OF COGNITIVE MATRIX OF THE TRANSFER FUNCTION OF A COMPLEX OBJECT MANAGEMENT ON THE BASIS OF EMPIRICAL DATA

abstract 0751201053 issue 75 pp. 683 – 716 27.01.2012 ru 2932
In this article, the deep relationship between the theory of automated control and system-cognitive analysis and its software tools - system of "Eidos" in their application to the intelligent control of complex systems is reviewed. Offered technology allows implementing in practice the intelligent automated and even automatic control of the objects of management, for which earlier management is realized only on weak formalized level, as a rule, without the use of mathematical models and computers. Such control objects include, for example, technical systems, the full quality-changing in the process of management, biological and ecological systems, socio-economic and psychological systems
443 kb

MATHEMATICAL ESSENCE OF SYSTEMIC THEORY OF INFORMATION(STI) ( Systemic substantiation of Boltsman-Naikequest-Hartly formula, synthesis of semantic information theory of Kharkevich and information theory of Shennon)

abstract 0420808004 issue 42 pp. 76 – 103 14.10.2008 ru 2890
The mathematical essence of systemic information theory(STI) offered by the author is the mathematic model of systemic-cognitive analysis ( SC-analysis) realized in its programming instruments – universal cognitive analytical system “AIDOS”.
441 kb

EARTHQUAKE FORECAST ON ASTRONOMICAL DATA USING THE ARTIFICIAL INTELLIGENCE SYSTEM

abstract 0520908013 issue 52 pp. 172 – 194 30.10.2009 ru 2887
The earthquake forecast model based on the astronomical data using the artificial intelligence system is developed
2024 kb

APPLICATION OF ARTIFICIAL INTELLECT TECHNOLOGIES FOR DEEP MARKETING RESEARCHES OF ADVERTISERS OF MODERN GLOSSY MAGAZINES OF KRASNODAR KRAI

abstract 0390805003 issue 39 pp. 11 – 57 30.05.2008 ru 2874
Application of systemic-cognitive analysis and its programming set of instruments of a system “AIDOS” for synthesis and marketing research of semantic informational model of publicity service market (advertisers of modern glossy magazines) of Krasnodar and Krasnodar krai are described in this article.
266 kb

SYSTEMIC-COGNITIVE ANALYSIS OF TIME NUMBERS (cognitive structurization and subject domain formalization, synthesis and verification of semantic information model)

abstract 0510907002 issue 51 pp. 38 – 46 28.09.2009 ru 2863
In the article the technology and a technique of application of systemic-cognitive analysis and its toolkit - "Eidos" system is shown for synthesis and verification of information semantic models of time numbers (on an example of one of segments of the share market)
511 kb

PREDICTION OF SEISMIC ACTIVITY AND CLIMATE ON THE BASIS OF SEMANTIC INFORMATION MODELING

abstract 0530909009 issue 53 pp. 98 – 122 30.11.2009 ru 2844
On the basis of semantic information models examined the dependence of parameters of seismic activity on the gravity of celestial bodies. The regional semantic information model of climate is developed
420 kb

SYSTEMIC-COGNITIVE APPROACH TO FORECASTING OF DURATION OF THE POSTOPERATIVE REGENERATIVE PERIOD ON THE BASIS OF THE INFORMATION ABOUT THE PATIENT, RECEIVED BY THE METHOD OF CARDIORESPIRATORY SYNCHRONISM (CRS) (synthesis and verification of semantic information model)

abstract 0510907009 issue 51 pp. 196 – 211 28.09.2009 ru 2805
In this article application of a new method of an artificial intellect is examined: systemic-cognitive analysis and its toolkit - "Eidos" system are used for an estimation of level of nonspecific resistance of an organism of patient on the basis of the preoperative information about it received by a method of cardiorespiratory synchronism (CRS) and forecasting of duration of the postoperative rehabilitation period on this basis. The technology and a technique of cognitive structurization and subject domain formalization, and also preparation of training sample is described in detail.
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