Scientific Journal of KubSAU

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

Pechurina Elena Karimovna

Scholastic degree

Academic rank

Honorary rank

Organization, job position

Kuban State Agrarian University
   

Web site url

Email

geskov@mail.ru


Articles count: 20

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417 kb

A DEVELOPED DECISION-MAKING ALGORITHM IN INTELLIGENT CONTROL SYSTEMS BASED ON THE ASC-ANALYSIS AND THE “EIDOS” SYSTEM

abstract 1602006009 issue 160 pp. 95 – 114 30.06.2020 ru 11
Traditionally, control decisions are made by solving repeatedly the forecasting problem for different values of control factors and choosing a combination of them that ensures the transfer of the control object to the target state. However, real control objects are affected by hundreds or thousands of control factors, each of which can have dozens of values. A complete search of all possible combinations of values of control factors leads to the need to solve the problem of forecasting tens or hundreds of thousands or even millions of times to make a single decision, and this is completely unacceptable in practice. Therefore, we need a decision-making method that does not require significant computing resources. Thus, there is a contradiction between the actual and the desired, a contradiction between them, which is the problem to be solved in the work. In this work, we propose a developed algorithm for decision-making by solving the inverse forecasting problem once (automated SWOT analysis), using the results of cluster-constructive analysis of the target states of the control object and the values of factors and a single solution of the forecasting problem. This determines the relevance of the topic. The purpose of the work is to solve the problem. By decomposing the goal, we have formulated the following tasks, which are the stages of achieving the goal: cognitive-target structuring of the subject area; formalization of the subject area (development of classification and descriptive scales and gradations and formation of a training sample); synthesis, verification and increasing the reliability of the model of the control object; forecasting, decision-making and research of the control object by studying its model. The study uses the automated system-cognitive analysis and its software tools (the intelligent system called "Eidos") as a method for solving the set tasks. As a result of the work, we propose a developed decision-making algorithm, which is applicable in intelligent control systems. The main conclusion of the work is that the proposed approach has successfully solved the problem
2158 kb

AUTOMATED SYSTEM-COGNITIVE ANALYSIS AND CLASSIFICATION OF CATTLE BREEDS

abstract 1421808033 issue 142 pp. 68 – 95 31.10.2018 ru 263
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
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 40
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
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 46
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
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 70
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
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 69
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
324 kb

BUILDING A LOGICAL FUNCTION FOR DESCRIPTION OF A LIFT MOTION

abstract 1291705053 issue 129 pp. 703 – 724 31.05.2017 ru 307
In automatic devices, relay-contact circuits are widely used. The development and description of such schemes is quite a challenge. It is known that the apparatus of algebra of logic can be used with success here. In the article the description of the elevator movement scheme is considered first in the usual way (as it is customary to describe in the instructions), then by the formulas of mathematical logic. A mathematical description of the movement of the cabin of a passenger elevator in the form of a logical function has been obtained
15279 kb

COGNITIVE INFORMATION-MEASURING SYSTEM FOR QUALITATIVE DETERMINATION OF FAT AND PROTEIN IN COW'S MILK IN THE PARAMETERS OF CENTIGRAMS OF DYNAMIC SURFACE TENSION AT THE INTERFACE OF MILK/AIR

abstract 1511907015 issue 151 pp. 138 – 192 30.09.2019 ru 10
A number of authors (Milaeva I. V., Zaitsev S. Yu., Dovzhenko N. A., Tsarkov D. V., Tsarkova M. S., 2015) have proposed a regression model and a method for indirect measurement of fat and protein content in cow's milk by its dynamic surface tension, which has a number of advantages over the traditional approach. The model reflects the objectively existing relations between the content of fat and protein in cow's milk and parameters of centigrams of dynamic surface tension at the interface of the milk/air. These relationships are revealed by the authors of the method wit mathematical processing of 112 empirical samples. For this purpose, they have applied regression and correlation analysis (in MS Excel). Since the content of fat and proteins in milk largely determines its quality, this problem refers to the problems of qualimetry. However, this problem of qualimetry also refers to typical problems of pattern recognition (multi-parameter typing and system identification), and therefore it is possible that the quality of its solution can be improved by the use of artificial intelligence methods, in particular cognitive and information technologies. Moreover, these relationships are quite complex. The use of intelligent technologies also creates additional opportunities for the study of the simulated subject area by studying its model. All this is of great scientific and practical interest for both researchers and practitioners. To solve all these problems in the work we have applied Automated System-Cognitive analysis (ASC-analysis) and its software tool which is an intelligent system called "Eidos". A numerical example based on real data has been considered in detail as well
2942 kb

COGNITIVE STRUCTURING AND FORMALIZATION OF THE SUBJECT AREA, SYNTHESIS AND VERIFICATION OF THE SYSTEM-COGNITIVE MODEL OF STRATEGIC PLANNING AND MANAGEMENT OF THE HOLDING

abstract 1582004009 issue 158 pp. 94 – 140 30.04.2020 ru 7
In the article, we develop the methodology of strategic planning and management of the 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 managing 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
843 kb

COGNITIVE VETERINARY – DIGITAL SOCIETY VETERINARY: THE DEFINITION OF BASIC CONCEPTS

abstract 1521908015 issue 152 pp. 141 – 199 31.10.2019 ru 6
There are many opinions on the question of what kind of society we live in at the beginning of the XXI century. Previously, it was believed that this is a post-industrial society. There was even an opinion that it would be a society of developed socialism or even a communist society. After that, the opinion on this has changed. First, modern society was called the information society, and then the society based on knowledge. The latest news in this area is that it seems that modern society is a digital society, that is, a society, based on digital technologies, digital communications, digital information processing and transmission technologies, as well as digital artificial intelligence technologies. In a digital society and science people must move to digital intelligent research technologies. In particular, the question arises as to whether veterinary medicine in a digital society should not also become cognitive veterinary medicine. This work is devoted to a detailed and reasoned (according to the authors) answer to this question. The methodology and terminology in this new field is not yet established and is not generally accepted. Therefore, in this work a lot of attention is paid to the logic and methodology of scientific knowledge, terminological issues and definitions of concepts
.