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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ASC-ANALYSIS OF WINE CLASSES DUE TO THEIR PROPERTIES BASED ON DATA FROM THE UCI REPOSITORY
Description
Creation of artificial intelligence systems is one of important and perspective directions of development of modern information technology. As there are many alternatives to artificial intelligence systems, there is a need to evaluate mathematical models of these systems. In this work, we present a solution of the problem of identifying classes of salary levels of employees depending on their characteristics. To achieve this goal it requires free access to test the source data and methodology, which will help to convert the data into the form needed for work in artificial intelligence systems. A good choice is a database of test problems for systems of artificial intelligence of UCI repository. In this work we used the database called "Wine Data Set" from the Bank's original task of artificial intelligence from repository UCI. The most reliable in this application was the model of the INF4 based on semantic, according to A. Kharkevich, integral criteria of "Amount of knowledge". The accuracy of the model is 0,916, which is much higher than the reliability of expert evaluations, which is equal to about 70%. To assess the reliability of the models in the ASC-analysis and the system of "Eidos" we used the F-criterion of van Ritbergen and fuzzy multiCLASS generalization proposed by Professor E. V. Lutsenko (L-measure)
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Description
This article is written in connection with the anniver-sary of 100-th issue of the Scientific journal of Kuban state agrarian University. This event suggests the pos-sibility of studying the dynamics topics of research for publication in the Scientific journal of Kuban state agrarian University. This issue is described in the arti-cle. The instrument for this study was applied auto-mated system-cognitive analysis (ASC-analysis) and software tools - Universal cognitive analytical system "Eidos-X++"
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Description
The creation of artificial intelligence systems is one of important and perspective directions of development of modern information technology. As there are many alternatives to artificial intelligence systems, there is a need to evaluate mathematical models of these systems. In this article, we consider a solution of the problem of identifying classes of levels of pay to employees on their characteristics. To achieve this goal it requires free access to test the source data and methodology, which will help to convert the data into the form needed for work in artificial intelligence systems. A good choice is a database of test problems for systems of UCI artificial intelligence repository. In this work we have used data base on teaching effectiveness for three regular semesters and two summer semesters of 151 teaching assistant (TA) assignments at the statistics Department of the University of Wisconsin-Madison. The most reliable in this application was the model of the INF4. The accuracy of the model in accordance with Lmeasure made up 0,809, which is much higher than the reliability of expert evaluations, which is equal to about 70%. To assess the reliability of the models in the ASC-analysis and in the system of "Eidos" we use F-criterion of van Ritbergen and its fuzzy multiclass generalization proposed by Professor E. V. Lutsenko
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Description
Since there are many alternatives to artificial intelligence systems, there is a need of assessment of the quality of mathematical models and systems of artificial intelligence that support these models. This work is aimed at studying and developing standard methods of using the database of UCI repository to assess the quality of mathematical models of systems of artificial intelligence. The aim of this work is the development of methods for assessment of the quality of mathematical models of artificial intelligence systems for the classification of animals by external evidence-based database of the UCI repository. The objectives are: systematization, consolidation and expansion of theoretical and practical knowledge in the discipline of Intellectual information systems and technologies; study of "Eidos" intelligent information system; solving the task with the use of "Eidos" intelligent information systems. The object of research is the "zoo" database of UCI repository. In the first Chapter there is an overview of the theory to the solution of the problem, identification of problems, the original data, tools and metrization scales. In the second Chapter of the work we present the solution of the task. In the conclusion, the results of the work have been made; the conclusions on the achievement of goals and objectives have been given
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Description
Main scientific results, which were received in 2007 under creation and investigation of semantic information multi mode, providing as detection of dependence between astro signs and accessory of respondents to generalized social categories as a use of knowledge of these dependences for identification of respondents by these categories are casted in the article. Multi model includes 172 private models on 37 generalized categories and each of categories is presented less than 1000 respondents under general fetch capacity of 20007 respondents. It was applied the method of systemic- cognitive analysis, which is considered as one of the universal variants of decision of thirteen problem of Gilbert in practice ( theoretically this problem has been done in the theorem of A.N. Kolmogorova, which is a generalization of theorem V.I. Arnold ( 1957) under it.
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ADS OF IHE AS A SELF-ORGANIZING SYSTEM
Description
New conceptual approaches to the creation of ADS of IHE, as a centralized open self-organizing system are offered in this article at the first time. The most widespread and stable illusions of a guide on such a system, which are necessary to overcome, the main principles which are necessary to observe are substantiated to create the ADS by IHE became real.
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06.00.00 Agricultural sciences
Description
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
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SHINE AND POVERTY OF VIRTUAL REALITY
Description
The article briefly discusses the following questions. The classic definition of virtual reality systems. Effects of virtual reality: effects of the reality, presence, depersonalization (modification of consciousness), a modification of the consciousness of the user, virtualization, interests, goals, values, and motivations ("reals and virtuals"). The criteria of reality in various forms of consciousness and their application in virtual reality. Virtual reality systems and criteria of reality, the principles of equivalence (relativity) of Galileo and Einstein and the criteria for virtual reality. The virtual device I / o. The author's definition of virtual reality systems. Dreaming, hypnagogic state, and virtual reality. Augmented reality and augmented virtuality. The modification of consciousness and the consciousness of the user in virtual reality. Consideration of future and pathological changed forms of consciousness that arise in systems with intelligent interfaces. Observance of moral norms in virtual reality and the consequences of failure. The risk of effects of virtual reality and the need for serious scientific study. The transfer of knowledge and skills from virtual reality to true. The transfer of knowledge and skills from virtual reality to true. Mechanisms of formation of models of the true and the virtual reality of man and the principles of their correct and meaningful interpretation. Principles and perspectives correct meaningful interpretation of the subjective (virtual) models of the physical and social reality formed by the human consciousness. The application of virtual reality systems. There is also a test for understanding of virtual reality
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GRAVITATIONAL WAVES AND EMERGENCE PARAMETER OF CLASSICAL AND QUANTUM SYSTEMS
01.00.00 Physical-mathematical sciences
Description
It was established that the Fermi-Dirac statistics, Bose-Einstein and Maxwell-Boltzmann distribution can be described by a single equation, which follows from Einstein's equations for systems with central symmetry. Emergence parameter of classical and quantum systems composed by the rays of gravitational waves interacting with gravitational field of the universe has been computed
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Description
Insects are a major component of natural biocenoses and agrocenoses. One of the largest and most numerous families are ground beetles (Carabidae); their number, according to various estimates, is more than 30,000 species. For Carabidae beetles it is common to have different ways of eating, a place of habitation, occupied layers, seasonal and daily activity. They live both on the surface and in the soil, more rarely on bushes and trees. The types of the family of ground beetles – active beetles with long, thin antennae of uniform thickness, long elytra and long legs, adapted to running. Their sizes vary from a few millimeters to 10 cm. As active predators, ground beetles play a huge practical importance, destroying pests before reaching the last threshold, thereby providing a natural regulation. Based on the fact, that the number of beetles is large, and their sizes are sometimes only a few millimeters, there is a problem of determining the species of these insects (or their identification), therefore it took a special tool, which, on the one hand, facilitate obtaining data about these insects, and on the other hand, would increase their accuracy. This article proposes a new (to this subject area) approach to identify different species of ground beetles along their outer contour with the use of software tools for automated system-cognitive analysis (ASC-analysis) – the universal cognitive analytical system called "Eidos," which is well-proven in the study of other objects. The reason why it was decided to use this system is that normal (standard) identification of ground beetles, have certain disadvantages: the human factor (manifest error in the determination); quite time consuming; the inability to increase the number of criteria to improve the reliability of the model comparison. This article aims to overcome these drawbacks, by the use of universal cognitive analytical system "Eidos", the automated system-cognitive analysis (ASC-analysis). A numerical example is given
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