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: 23

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547 kb

STRATEGIC PLANNING AND MANAGEMENT OF A HOLDING BASED ON INFORMATION AND COGNITIVE TECHNOLOGIES

abstract 1572003009 issue 157 pp. 103 – 126 31.03.2020 ru 173
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
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 180
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
3133 kb

SCORING SYSTEM BASED ON INFORMATION-COGNITIVE MODELING

abstract 1552001005 issue 155 pp. 54 – 85 31.01.2020 ru 182
One of the key problems facing the credit institution is the late payment of the loan. Firstly, it is a deeper analysis - in order to be carried out “manually” it is not even required several days, but weeks. Secondly, it allows you to work with clients much faster. And most importantly scoring allows you to negate the influence of the human factor. An automated system, no matter how you look, cannot be liked or not. Data analysis is only based on facts. Scoring is beneficial to all. The bank is able to work faster and reduce the risk of loan defaults. Clients, in turn, can apply for a loan on terms that are more favorable
4111 kb

GENERAL MEDICAL DIAGNOSTICS BASED ON INFORMATION AND COGNITIVE MODELING OF VERTEBRAL NOSOLOGICAL IMAGES

abstract 1562002004 issue 156 pp. 46 – 87 28.02.2020 ru 216
One of the key problems facing medicine is the correct diagnosis given in a timely manner. For all the existence of medicine, humanity has accumulated a lot of knowledge in this area. According to this knowledge, new specialists are trained. But there is so much information that it is sometimes impossible to find the right information in it in time, and this can cost the person who came to see a doctor very expensive. In this specialist comes to the rescue computer. Information technologies, training in information bases perfectly cope with the task of identifying the disease and providing the most appropriate information
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 219
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
827 kb

DECISION-MAKING ON NOMENCLATURE AND VOLUMES OF OUTPUT IN A TRADING FIRM WITH THE AIM OF ACHIEVING THE SET REVENUE AND PROFITABILITY

abstract 1541910018 issue 154 pp. 199 – 207 30.12.2019 ru 222
In their previous works, the authors solved the problem of cognitive structuring and formalization of the subject area, as well as the synthesis and verification of system-cognitive models. This work is devoted to the problem of forecasting the impact of the nomenclature and sales volumes on the profit and profitability of a trading company
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 255
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
843 kb

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

abstract 1521908015 issue 152 pp. 141 – 199 31.10.2019 ru 261
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
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 271
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
14474 kb

DEVELOPING A VETERINARY TEST FOR THE DIAGNOSIS OF GASTROINTESTINAL DISEASES IN HORSES BASED ON DATA FROM THE UCI REPOSITORY WITH THE USE OF ASC-ANALYSIS

abstract 1411807033 issue 141 pp. 111 – 175 28.09.2018 ru 279
This article briefly discusses a new innovation (brought to a level that ensures its practical use) method of artificial intelligence: automated system-cognitive analysis (ASC-analysis) and its programmatic toolkit which is called intellectual system "Eidos". A detailed numerical example of the solution demonstrating the technology of creating a veterinary diagnostic test of gastrointestinal diseases of horses is given. As the source data, we use data from the UCI repository, kindly given by Mary McLeish and Matt Cecile (Department of computer science of University of Guelph, Ontario, Canada N1G 2W1, with the support of a sponsor: Will Taylor. The developed test is used to solve the problems of diagnosis, decision support and examining the simulated subject area by studying its model. 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 veterinary problems with the use of artificial intelligence technologies are placed as a cloud Eidos-application 129
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