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

1226 kb

SYSTEMIC-COGNITIVE ANALYSIS OF THE CELESTIAL BODIES’ IMPACT ON THE EARTH POLAR MOTION AND VIZUALIZATION OF THE CAUSATION IN THE FORM OF COGNITIVE FUNCTIONS

abstract 0651101020 issue 65 pp. 232 – 258 31.01.2011 ru 2374
Dependence of the Earth polar motion on celestial bodies’ positions is examined on the basis of semantic information models
3742 kb

SYSTEMIC-COGNITIVE ANALYSIS OF FUNCTIONS AND RESTORATION OF THEIR VALUES TO THE SIGNS OF ARGUMENT ON THE BASIS OF THE APRIORISTIC INFORMATION (intellectual technologies of in-terpolation, extrapolation, forecasting and decision-making on cartographical databases)

abstract 0510907006 issue 51 pp. 130 – 154 28.09.2009 ru 2450
In the article the possibility of restoration of values of one-dimensional and two-dimensional functions both between values of argument (interpolation), and behind their limits (extrapolation) on the basis of use of the aprioristic information on interrelation between signs of argument and values of function in reference points with use of systemic-cognitive analysis and its toolkit - "Eidos" system is discussed. Numerical examples and visualisation of results are resulted
619 kb

SYSTEMIC-COGNITIVE ANALYSIS OF IMAGES (generalization, abstraction, classification and identification)

abstract 0460902010 issue 46 pp. 146 – 164 27.02.2009 ru 11777
In the article application of systemic-cognitive analysis, its mathematical model - the system theory of the information and program toolkit - systems "Eidoses" for synthesis of the generalized images of classes, their abstraction, classification of the generalized images (clusters and constructs) comparisons of concrete images with the generalized images (identification) are examined
346 kb

SYSTEMIC-COGNITIVE ANALYSIS AND FORECASTING OF SEISMIC ACTIVITY OF THE LITHOSPHERE OF THE EARTH, AS THE GLOBAL ACTIVE GEOSYSTEM

abstract 0551001022 issue 55 pp. 299 – 321 31.01.2010 ru 3329
Dependence of seismic activity parameters on celestial bodies’ positions is examined on the basis of semantic information models
11882 kb

SYSTEMIC COGNITIVE MODELING OF THE INFLUENCE OF AGRICULTURAL TECHNOLOGIES ON YIELD AND QUALITY OF WHEAT AND THE SOLUTION OF TASKS OF FORECASTING, DECISION SUPPORT AND RESEARCH OF THE SUBJECT AREA

abstract 1471903015 issue 147 pp. 62 – 128 29.03.2019 ru 280
The purpose of the article is to use automated system-cognitive analysis (ASC-analysis) to study the impact of agrotechnological factors on the yield and quality of wheat and the use of the created models to solve the problems of forecasting, decision support and research of the simulated domain through the study of its model. To achieve this goal, the following tasks are set and solved, obtained by decomposition of the goal and are the stages of its achievement: Task 1: to formulate the idea and concept of solving the problem; Task 2: to justify the choice of method and tool for solving the problem; Task 3: to apply the selected method and tool to achieve this goal: cognitive structuring of the subject area; formalization of the subject area; synthesis and verification of the model; improving the quality of the model and the choice of the most reliable model; solution in the most reliable model of diagnostic problems (classification, recognition, identification), decision support and research of the simulated subject area by studying its model. Task 4: describe the effectiveness of the proposed solution. Task 5: to consider the limitations and shortcomings of the proposed solution to the problem and the prospects for its development by overcoming these limitations and shortcomings. A detailed numerical example of solving the problems based on 217 real examples of wheat cultivation in the fields of the Krasnodar region is given. For readers, it is possible to download this numerical example and install it on your computer to study
361 kb

SYSTEMIC COGNITIVE ANALYSIS IN THE MANAGEMENT OF THE NOMENCLATURE AND VOLUMES OF PURCHASES-SALES IN AGRICULTURAL TRADE: STATEMENT OF THE PROBLEM

abstract 1331709055 issue 133 pp. 730 – 734 30.11.2017 ru 434
The performance indicators of a trading company in physical and monetary terms is significantly affected by the types and volumes of purchased and sold products, and which she purchased suppliers and the consumers sold. However, the solution to the problem of choosing the rational range of products faces considerable cost of computational and human resources, and lack of baseline data, and in real dimensions this problem has no solution. The paper proposes such a solution is very economical in costs of different types of resources based on the application of information theory, cognitive and control theory
244 kb

SYSTEMIC COGNITIVE ANALYSIS (SCA) AND THE EIDOS SYSTEM IN THE LIGHT OF PLATON'S DOCTRINE

abstract 0450901008 issue 45 pp. 91 – 100 30.01.2009 ru 3248
In article the parallel between the doctrine of Ancient Greek philosopher Platon about Eidoses and the sys-temic cognitive analysis (SCA) with its toolkit: Eidos system is drawn. It is shown that the SCA supposes substantial interpretation in the light of Platon's doc-trine about Eidoses. Eidos system realizes mathemat-ical model of the SCA, carries out operations of res-toration of Eidoses on the basis of their concrete rea-lizations in the form of objects, allows to estimate what realization of Eidoses the given concrete objects are, and also provides research of systems of Eidoses similar with each other (their clusters) and systems of the most various Eidoses clusters among themselves, i.e. constructs.
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 2949
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.
338 kb

SYSTEMIC - COGNITIVE APPROACH TO BUILDING MULTI-LEVEL SEMANTIC INFORMATION MODEL OF AGRO-INDUSTRIAL HOLDING AND MADE ON ITS BASIS SOLUTIONS OF FORECASTING PROBLEMS, SUPPORT OF ADMINISTRATIVE DECISIONS MAKING AND SCIENTIFIC RESEARCHES

abstract 0450901002 issue 45 pp. 11 – 29 30.01.2009 ru 3227
Methodology of using systemic cognitive analysis for building multi-level semantic information model of agro-industrial holding management is formulated in the article in general. Based on this, solutions of forecasting problems and support of decision-making process of management and scientific researches are listed
2563 kb

SYSTEM-COGNITIVE STUDY OF THE IMPACT OF THE NOMENCLATURE AND VOLUME OF PRODUCTS SOLD ON THE PROFIT AND PROFITABILITY OF THE TRADING COMPANY

abstract 1531909015 issue 153 pp. 143 – 153 29.11.2019 ru 187
In previous works, the authors solved the problem of cognitive structuring and formalization of the subject area, synthesis and verification of system-cognitive models, predicting the impact of nomenclature and sales volumes on the profit and profitability of the trading company, decision support for the selection of such nomenclature and sales volumes, which cause a given target profit and profitability of the company. This work is devoted to the study of the simulated subject area by studying its SC-model
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