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: 271

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6248 kb

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

abstract 1101506009 issue 110 pp. 138 – 168 30.06.2015 ru 838
In the article the application of systemic-cognitive analysis, its mathematical model - the system theory of the information and its program toolkit - "Eidos" system 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. We suggest a new approach to the digitization of images, based on the use of the polar coordinate system, the center of gravity of the image and its contour. Before digitizing images we can use their changes to standardize the position of the picture-frames, their size and rotation. Therefore, if you specify this option, the results of digitization and image ASC-analysis can be invariant (independent) to their position, size and rotation. This means that in the model on the basis of a number of specific examples we will create one image of each class of images, independent of their specific implementations, i.e., the "Eidos" of these images (in the sense of Plato) - a prototype or archetype (in the Jungian sense) images. But the "Eidos" system provides not only the formation of prototype images, which quantitatively reflects the amount of information in the image elements of the prototype, but the removal of all irrelevant to identification (abstraction), and the comparison of specific images with generic (identification) and the generalized images of images together (classification). The article provides a detailed numerical example of ASC- analysis of images
13469 kb

Automated system-cognitive analysis of the strength and the direction of the influence of morphological properties of tomatoes on the quantitative, qualitative, financial and economic results of their cultivation and the degree of determinism of these results in the conditions of unheated greenhouses in the South of Russia

abstract 1501906015 issue 150 pp. 92 – 142 28.06.2019 ru 231
The aim of this work is to study the strength and the direction of the influence of morphological and biochemical properties of tomatoes on the quantitative, qualitative, financial and economic results of their cultivation and the degree of determinism of these results. Achieving this goal is of great scientific and practical interest for scientists, breeders and vegetable growers-practitioners. This allows breeders to obtain new high-performance varieties of tomato hybrids, and farms to choose hybrids, the cultivation of which is most effective from a financial and economic point of view. To achieve this goal, we use automated system-cognitive analysis (ASC-analysis) and its software tool which is the intelligent system called "Eidos". A numerical example based on real data on tomato hybrids has been considered in detail
4722 kb

AUTOMATED SYSTEM-COGNITIVE ANALYSIS OF THE EFFECTS OF PROBIOTICS IN DIETS ON BODY TYPE OF YOUNG BULLS

abstract 1461902033 issue 146 pp. 68 – 93 28.02.2019 ru 229
The article is devoted to the use of automated system-cognitive analysis for the study of probiotics for the growth of bulls. Moreover, as growth indicators we have not used live weight, but indices characterizing the shape and proportions of the body of animals. A detailed numerical example of solving the problem using real data is given
11281 kb

AUTOMATED SYSTEM-COGNITIVE ANALYSIS OF THE DEPENDENCE OF SUBJECTIVE SOMMELIER WINE QUALITY ASSESSMENT ON ITS OBJECTIVE PHYSICAL AND CHEMICAL PROPERTIES

abstract 1491905015 issue 149 pp. 39 – 80 31.05.2019 ru 185
Sommelier evaluates the quality of wine on the basis of their subjective feelings. At the same time, what the sommelier says when evaluating wine, it is difficult or impossible to rationally understand for the uninitiated to this art. The process of assessing the quality of wine by sommelier can not be formalized and is carried out entirely at the sensual level. Sometimes, different sommeliers differently evaluate the same wine poured from the same barrel into bottles of different prestige, with stickers differing in the number of stars. This raises at least two legitimate and natural questions. The first question is whether any subjective sommelier evaluations of the quality of wine are connected with its objective physical and chemical properties? The second question arises in the case of a positive answer to the first one: is it possible to analyze the objective methods of physical and chemical properties of wine to predict its subjective assessment by various sommeliers or some "generalized sommelier", generalizing many such subjective assessments? This article is devoted to obtaining reasoned answers to these questions. The purpose of this work, which is of great scientific and practical interest, is to create a model that provides an automated assessment of the quality of wine based on the analysis of its objective physical and chemical properties, coinciding with its sommelier-evaluation. To achieve this goal, we use Automated system-cognitive analysis (ASC-analysis) and its software tools – the intelligent system called "Eidos". A detailed numerical example based on 1599 real-world examples of sommelier evaluation of wine quality with known physical and chemical properties is considered. In addition to the answer to the two questions in the article, there is a study of the created system-cognitive model
12293 kb

AUTOMATED SYSTEM-COGNITIVE ANALYSIS OF NATURAL CLIMATIC PHENOMENA DANGEROUS FOR AGRICULTURE OF RUSSIA

abstract 1481904015 issue 148 pp. 68 – 117 30.04.2019 ru 201
At present, databases of 27-year observations of various adverse weather conditions and dangerous hydrometeorological phenomena leading to social and economic losses on the territory of Russia are in full open free access. Some of these natural hazards also cause significant damage to agriculture, especially crop production, horticulture and viticulture. Therefore, a great scientific and practical interest is the intellectual analysis of these data, which will create more favorable conditions for the prediction of such adverse events and decision-making, taking into account their possible negative impact on human activity. To achieve this goal, it is necessary to solve the following tasks, which are obtained by decomposition of the goal and are the stages of its achievement: Task 1: cognitive structuring of the subject area. Task 2: preparation of initial data and formalization of the subject area. Task 3: synthesis and verification of statistical and system-cognitive models and selection of the most reliable model. Task 4: solving problems in the most reliable model: - subtask 4.1. Forecasting (diagnostics, classification, recognition, identification); - subtask 4.2. Support decision-making; - sub-task 4.3. Study of the simulated subject area by studying its model (cognitive diagrams of classes and values of factors, agglomerative cognitive clustering of classes and values of factors, nonlocal neurons and neural networks, 3d-integral cognitive maps, cognitive functions). It is proposed to use automated system-cognitive analysis (ASC-analysis) to solve the tasks. The article provides a detailed numerical example illustrating the solution of all these problems
12514 kb

AUTOMATED SYSTEM-COGNITIVE ANALYSIS OF ANTIBIOTICS IN VETERINARY MEDICINE

abstract 1401806033 issue 140 pp. 163 – 212 29.06.2018 ru 292
Antibacterial chemotherapeutic drugs, which include antibiotics and synthetic antimicrobial agents, are widely used in veterinary medicine for the prevention and treatment of diseases caused by microorganisms. Antibacterial agents can be classified by type of action and chemical structure. It is also known that when several drugs are used in combination with each other, they interact within the body with each other, which can lead to strengthening or weakening of their action. For these reasons, it is of scientific and practical interest to develop a classification of antibiotics by their characteristics and principle of action (task 1), as well as by mutual compatibility (task 2). The article solves these problems using a new method of agglomerative cognitive clustering, implemented in automated system-cognitive analysis (ASK-analysis). This method of clustering has a number of advantages over the known traditional methods of clustering. These advantages allow us to obtain clustering results that are understandable to specialists and amenable to meaningful interpretation, which are well consistent with the experts ' assessments, their experience and intuitive expectations, which is often a problem for classical clustering methods. The article provides detailed numerical examples of solving two problems. The universal automated system called "Eidos", which is a tool of ASK-analysis, is in full open access on the author's website: http://lc.kubagro.ru/aidos/_Aidos-X.htm. Numerical examples of solving veterinary problems with the use of artificial intelligence technologies are placed as cloud Eidos-applications and are available to everyone
21210 kb

AUTOMATED SYSTEM-COGNITIVE ANALYSIS IN VETERINARY SCIENCE (ON THE EXAMPLE OF DIAGNOSTIC TESTS DEVELOPMENT)

abstract 1371803031 issue 137 pp. 143 – 196 30.03.2018 ru 176
The article considers the application of Eidos intellectual technologies for implementation of developed veterinary and medical diagnostics statistical tests without programming in the convenient form for the individual and mass testing, the analysis of the results and development of the individual and group recommendations. It is possible to merge several tests in one supertest
329 kb

AUTOMATED SYSTEM-COGNITIVE ANALYSIS AS A METHOD OF COMPLEX SOLUTION OF PROBLEMS OF MANAGEMENT OF THE PERSONNEL WITH THE USE OF FUNCTIONAL-COST ANALYSIS

abstract 0961402001 issue 96 pp. 1 – 16 28.02.2014 ru 1353
The article briefly describes the essence of manage-ment, stating the goals and structure of the system of personnel management. It considers the essence of the method of functional-cost analysis (FCA) and, as a major gap, we have noted a low level of formalization, which requires the involvement of ex-perts in applying the FSA. It also specifies the difference between the cost and the cost price. We consider the decision of questions of creation of the personnel management system on the FCA basis using the method of automated system-cognitive analysis (ASA-analysis), in particular: the measurement of the severity of socio-economic and psychological proper-ties, metric scales, build intellectual measuring system, the development and application of models, providing both building occupation graphs and their application to measure the degree of compliance of the Respondent with the requirements of professional positions and to the positions including the cost of employment of personnel and resources allocated for staff on posts. The proposed approach can be applied not only at the decision of tasks of human resource management with DAF method, but when you apply the FSA in a variety of subject areas, in particular - the method of direct-Costing
1047 kb

AUTOMATED SYSTEM-COGNITIVE ANALYSIS AND ITS APPLICATION TO THE MANAGEMENT OF SOCIO-ECONOMIC SYSTEM IN AGRICULTURE

abstract 0781204055 issue 78 pp. 659 – 703 30.04.2012 ru 2241
The article defines the problem and the points of socio-economic systems in the agro-industrial complex (APC) and proposes using automated system-cognitive analysis (ASCA). The solution to this problem is shown as an example of an integrated multi-industrial agricultural system (IMPI APC). Theoretical basis, mathematical model, technique of numerical calculations and software tools of ASC-analysis, and the main results and prospects of its application to control the
2158 kb

AUTOMATED SYSTEM-COGNITIVE ANALYSIS AND CLASSIFICATION OF CATTLE BREEDS

abstract 1421808033 issue 142 pp. 68 – 95 31.10.2018 ru 492
Meat Academy website http://meatinfo.ru has a comparative table of breeds of cattle on 8 indicators, from which 2 are text and 6 are numerical http://meatinfo.ru/info/show?id=197. It is a natural question for business executives, which of these breeds are similar throughout the system of indicators characterizing them, and which ones differ and to what extent. There is also the question of which indicators are similar and different in meaning and by how much. This article is devoted to the solution of these problems. The results of the study can be used by anyone, due to the fact that Eidos the universal automated system, which is a tool of ask-analysis, is in full open free access on the author's website at: http://lc.kubagro.ru/aidos/_Aidos-X.htm, and numerical examples of solving the mentioned problems with the use of artificial intelligence technologies are placed as a cloud Eidos-application #131
.