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: 249

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161 kb

BIOMETRICAL ESTIMATATION OF THE POLYMORFISM OF GRAPE GROUP OF PINOT AND RIESLING BY MORFOLOGICAL CHARACTERISTICS OF THE MIDDLE PART OF THE TREE

abstract 0520908001 issue 52 pp. 1 – 14 30.10.2009 ru 2174
The polymorphism is the diversity of varieties in ampelografy - the presence simultaneous permanent in the population of two or several phenotypic and genotype differing groups of plants of one variety – i.e. clones. In viticulture the isogenic population is usually called “clone” and variety as the total of clones or forms – i.e. it is heterogenic. Polymorphism of varieties has big practical sense, as varieties-clones have the harmonic complementary adaptive ampelocenosis and higher economical effect for production. In the article the polymorphism of two heterogenic population - the group Pinot and Riesling, which are the best specimen of French and German viticulture is described on the phenotypic level of leaves
5149 kb

CLASSIFICATION OF GROUND BEETLES (COLEOPTERA, CARABIDAE) IN SPECIES AND GENERA USING ASC-ANALYSIS OF THEIR IMAGES

abstract 1211607004 issue 121 pp. 166 – 201 30.09.2016 ru 253
From a huge number of the organisms inhabiting our planet, insects make 70%, being the most numerous of the invertebrate animal classes numbering more than 2 million types. It is difficult to find such place where it would be impossible to meet representatives of this huge class. They completely took over the entire environment - water, the land, air. For them, it is the common characteristic: complex instincts, omnivorous, high fecundity, and for some of them – a public way of life. Insects can be found at tremendous heights, reaching the level of 5000 meters, and they inhabit the desert where it practically never rains, not to mention the absence of any vegetation. Deep caves where no sunlight, nor the conditions for food and existence of living organisms — it is also the habitat of insects, they can be found far beyond the Arctic circle, and even on many Islands of Antarctica, where in addition to lifeless rock, it would seem that there is nothing else. Among insects, one of the largest and most numerous families are the ground beetles (Carabidae). They subtly respond to changes in soil and vegetation, hydrothermal and micro-climatic conditions of the environment, which makes them a convenient model subject to various environmental and Zoological researches. Ground beetles belong to a large number of genera and species, often difficult to see, in this regard, we use many different signs to diagnose. We have taken into consideration the coloration, body shape, external structure, surface structure, size, and arrangement of the genitals and chaetotaxy. Due to the fact, that the number of ground beetles is enormous, and, using their appearance, it is very difficult to determine their generic identity, there is a need of automation of the identification process, due to which we require a special mechanism that would increase the accuracy of these insects. In the previous work of the authors (http://ej.kubagro.ru/2016/05/pdf/01.pdf) we considered the further possibility of using the method of ASC- analysis to classify insects, not only in species but also in genera, orders, thereby increasing the reliability of determination of ground beetles, which will be done in this article. A numerical example is given. We also have gained a successful experience of solving such problems in other subject areas. This article can be considered as a continuation of the series of works dedicated to governmental use of the automated system-cognitive analysis (ASC-analysis) and its software tools – the system of "Eidos"
4179 kb

COGNITIVE FUNCTIONS AS A GENERALIZATION OF THE CLASSICAL CONCEPT OF FUNCTIONAL DEPENDENCE ON THE BASIS OF INFORMATION THEORY IN ASC-ANALYSIS AND SYSTEM FUZZY INTERVAL MATHEMATICS

abstract 0951401007 issue 95 pp. 122 – 183 30.01.2014 ru 1396
This article briefly reviews the classical concept of functional dependence in mathematics, determines the limitations of this concept for adequate modeling of reality and formulates the problem, consisting in search of such generalization of the concept of func-tions, which is more suitable for the adequate reflec-tion of causal relationships in the real domain. Also, it discusses theoretical and practical solving the prob-lem, consisting in: (a) we suggest the universal method of calculating the amount of information in the value of argument about the meaning of the function, i.e. cognitive functions which is independent from the subject area; b) we offer software tools: Eidos intelli-gent system, allowing in practice to carry out these calculations, i.e. to build cognitive functions based on a fragmented noisy empirical data of high dimension. We also offer the concepts of nonreducing, partially and completely reduced direct and inverse, positive and negative cognitive functions and the method of formation of reduced cognitive function, which is a generalization of known weighted least-squares meth-od on the basis of observation the amount of infor-mation in the values of the argument about the values of the functions accounting
694 kb

COGNITIVE FUNCTIONS AS THE ADEQUATE INSTRUMENT FOR THE FORMAL SUBMISSION OF CAUSE AND EFFECT ASSOCIATIONS

abstract 0631009001 issue 63 pp. 1 – 23 27.11.2010 ru 1859
In this article application of the method of computerized system-cognitive analysis and its programmatic tooling – system "Eidoses" for detection of cause and effect associations from the trial-and-error data is considered. In the capacity of a toolkit for the formal submission of cause and effect associations cognitive functions are tendered. Cognitive functions represent many-valued interval functions of many arguments in which one various value of function in a various degree match to various value of arguments, and the quantitative standard of this correspondence appears to be the knowledge, i.e. the information about cause and effect associations in the trial-and-error data, beneficial to a goal achievement
2645 kb

COGNITIVE FUNCTIONS VISUALIZATION METHOD – THE NEW INSTRUMENT FOR THE LARGE DIMENSION EMPIRICAL DATA ANALYSIS

abstract 0671103018 issue 67 pp. 240 – 282 30.03.2011 ru 2623
The new methods for system-cognitive analysis to identify and present graphical visualization of causal functions from the large dimension empirical data and its software tools - «EIDOS» system are discussed.
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 4
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
140 kb

COGNITIVE MODELS OF PREDICTION THE DEVELOPMENT OF A DIVERSIFIED CORPORATION

abstract 1221608003 issue 122 pp. 32 – 42 31.10.2016 ru 299
The application of classical forecasting methods applied to a diversified corporation faces some certain difficulties, due to its economic nature. Unlike other businesses, diversified corporations are characterized by multidimensional arrays of data with a high degree of distortion and fragmentation of information due to the cumulative effect of the incompleteness and distortion of accounting information from the enterprises in it. Under these conditions, the applied methods and tools must have high resolution and work effectively with large databases with incomplete information, ensure the correct common comparable quantitative processing of the heterogeneous nature of the factors measured in different units. It is therefore necessary to select or develop some methods that can work with complex poorly formalized tasks. This fact substantiates the relevance of the problem of developing models, methods and tools for solving the problem of forecasting the development of diversified corporations. This is the subject of this work, which makes it relevant. The work aims to: 1) analyze the forecasting methods to justify the choice of system-cognitive analysis as one of the effective methods for the prediction of semi-structured tasks; 2) to adapt and develop the method of systemic-cognitive analysis for forecasting of dynamics of development of the corporation subject to the scenario approach; 3) to develop predictive model scenarios of changes in basic economic indicators of development of the corporation and to assess their credibility; 4) determine the analytical form of the dependence between past and future scenarios of various economic indicators; 5) develop analytical models weighing predictable scenarios, taking into account all prediction results with positive levels of similarity, to increase the level of reliability of forecasts; 6) to develop a calculation procedure to assess the strength of influence on the corporation (sensitivity) of its member enterprises; 7) to finalize the software tools the ask analysis to the level of information technology, given its adaptation and development to predict actions in a diversified corporation
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 4
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 2
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
21711 kb

COMPLETE AUTOMATED SYSTEM-COGNITIVE ANALYSIS OF THE PERIODIC CRITERION CLASSIFICATION OF THE FORMS OF CONSCIOUSNESS

abstract 1592005003 issue 159 pp. 22 – 93 29.05.2020 ru 8
This work continues the series of works written by the author on the application of modern scientific methods in the study of human consciousness. In 1979-1981, two monographs were written devoted to higher forms of consciousness, the prospects of man, technology and society. One of these monographs was two-volume and was called "Theoretical Foundations of the Synthesis of Quasi-Biological Robots." In these monographs the author proposed: 1) criterial periodic classification of 49 forms of consciousness, including higher forms of consciousness (HFC); 2) based on this classification, there were psychological, microsocial and technological methods of transition between various forms of consciousness, including methods of transition from the usual form of consciousness to the HFC; 3) information-functional theory of the development of technology (including the rule of improving the quality of the basis); 4) information theory of value; 5) 11 functional schemes of technical systems of future forms of society, including remote telekinetic (mental) control systems; 6) the concept of development of society in groups of socio-economic formations; 7) the concept of determining the form of human consciousness by the functional level of the technological environment; 8) mathematical and numerical modeling of the dynamics of the probability density of states of human consciousness in evolution using the theory of Markov’s random processes. In this study, we carry out a complete automated system-cognitive analysis (ASC- analysis) of the periodic criteria classification of forms of consciousness proposed by the author in 1978. To this end, the following tasks are solved in the work: cognitive structuring and formalization of the subject area; synthesis and verification of statistical and system-cognitive models (multi-parameter typification of forms of consciousness); systemic identification of forms of consciousness; their typological analysis; investigations of a simulated domain by examining its model. We have also given a detailed numerical example of solving all these problems
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