name
Lutsenko Yevgeniy Veniaminovich
Scholastic degree
•
Academic rank
professor
Honorary rank
—
Organization, job position
• Kuban State Agrarian University
кафедра компьютерных технологий и систем
профессор
Research interests
Системно-когнитивный анализ, системы искусственного интеллекта, высшие формы сознания, перспективы человека, технологии и общества
Web site url
Current rating (overall rating of articles)
0
TOP5 co-authors
Articles count: 271
Сформировать список работ, опубликованных в Научном журнале КубГАУ
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INTELLECTUAL MODELS OF INVESTMENT MANAGEMENT OF AGRO-INDUSTRIAL COMPLEX
Description
This article describes the system-cognitive approach to an investment management of agribusiness at the regional level in order to improve the quality of life. The possibility of the practical application of the proposed quantitative integral criterion of the quality of life for the identification year study period, and obtained influence functions volume and direction of investment in the value of the integral criterion and partial criteria of quality of life in the region is presented. The results open the possibility of scientific study recommendations on the structure and terms of investments, the most effective impact on improving the quality of life of the region
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22.00.00 Sociological sciences
Description
In the article the results of investigating the information properties of the celestial bodies of the solar system and its influence on the social choice of subjects are described. The reaction of each subject to the position of the celestial bodies of the solar system at the moment of birth was recorded and was processed for this. Each subject reacted via selection of one or several of 37 social categories, which composes totally 86314 cases. By applying artificial intelligence and statistical processing technologies discovered, that the parameter of the dispersion of the information of the signs of celestial bodies depends on the distance to the celestial bodies. The basic laws that describe the reaction of the group of subjects on the effects of gravitational fields of celestial bodies.
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Description
The article, on a simple numerical example, deals with the application of the automated system-cognitive analysis (ASC-analysis) and its software tools - intellectual systems "Eidos" for the detection and investigation of determination of emergent macro preferences of systems in their composition and hierarchical structure, i.e. the sub-systems of various complexity levels (levels of the hierarchy). The article briefly discusses some of the methodological issues of creation and application of formal models in scientific knowledge. The system generalization of the principle of William Ross Ashby about the necessary diversity on the basis of the system of generalization of the theory of sets and systems theory, information, generalized formulation of the principle of Galileo-Einstein, the hypothesis about its relationship with the theorem of Emmy Noether are offered; and also there is a hypothesis "About the dependence of the force and direction of the relations between the basic elements of the system and its emergent properties as a whole, on the level of hierarchy in the system"
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RESEARCH OF TWO-LEVEL SEMANTIC INFORMATION MODEL OF AGRO INDUSTRIAL HOLDING
Description
Research of two-level semantic information model of agro industrial holding means research of holding by itself, because verification of model showed its high adequacy.
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06.00.00 Agricultural sciences
Description
In peach orchards of the Russian humid subtropics, leaf curl is the most dangerous and harmful disease. Due to the high degree of danger from the peach leaf curl, for the first time in this region the main task was to analyze peach leaf curl development on weather conditions. In order to solve the problem, it is proposed to apply a new innovative intellectual technology: automated system-cognitive analysis (ASK-analysis) and its software tools - the “Eidos” system. In order to build the model, based on our own observations and the experience of Russian and foreign colleagues, it was decided to use the following factors: the sum of temperatures above +4 ° C of the current year (for the period from January to April), the sum of temperatures above +4 ° C of the previous year (for the whole year), the sum of precipitation of the current year (for the period from January to April), the sum of precipitation of the previous year (for the whole year), the number of hours of infection (in the current year). It was established that such factors as the number of hours of infection, the sum of temperatures above +4 ° C in April and during the period from January to April, as well as the sum of precipitation in March and April, are the most important in the dynamics of peach leaf curl development and spread. High rates of leaf curl spread and development are caused by the number of hours of infection in the range of 1440 ... 2064 hours, as well as by low air temperatures in March and April (the sum of temperatures above +4 °C – 89,4-240,4° and 283,7-316,7°, respectively) and high air temperatures - in January and February (the sum of temperatures above +4 ° C – 155,3-259,6° and 243,5-280,1°, respectively)
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01.00.00 Physical-mathematical sciences
Description
The article describes a software interface with the universal cognitive analytical system "Eidos-X++" ensuring the transformation of character, in particular – the numerical series in a form that is directly perceived by this system. As a result, the system can contain 3 statistical and 7 intellectual models of the series, which highlights the relationship between the characters or numbers in these lines. To reflect the relationships between the characters we used the same private and integral data of the automated system of cognitive analysis (ASC-analysis), and in the reflection of reasons-and-effect relationships between events in the real area that has not previously been used in the theory of numbers. The article provides a detailed numerical examples of such studies on the example of the identification of relationships between numbers that represent the decimal digits of the PI number, in the example we use one million digits of the PI number after the decimal point
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Description
Initial data for designing of two-level semantic information model of management of agro industrial holding are analyzed in the article, task of their automatizing transformation to the form, directly sensing by the system “ AIDOS ” with the help of one of its standard interfaces is positioned and solved. Algorithm and initial program text, providing these functions, results of its work and automatically formed handbooks of classes and factors on their base by the system “ AIDOS ”, training fetch for private models, entering the two-level semantic information model of management of agro industrial holding are casted as well.
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Description
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"
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COGNITIVE VETERINARY – DIGITAL SOCIETY VETERINARY: THE DEFINITION OF BASIC CONCEPTS
06.02.00 Veterinary and Husbandry
Description
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
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06.02.00 Veterinary and Husbandry
Description
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
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