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: 276

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9150 kb

ASC- ANALYSIS OF THE DYNAMICS OF SCIENTIFIC RESEARCH FOR PUBLICATION IN THE SCIENTIFIC JOURNAL OF KUBAN STATE AGRARIAN UNIVERSITY

abstract 1001406007 issue 100 pp. 109 – 145 30.06.2014 ru 1026
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++"
598 kb

ARTIFICIAL INTELLIGENCE SYSTEM “AIDOS-ASTRA” FOR SCIENTIFIC RESEARCH OF GLOBAL GEOSYSTEMS DEPENDING ON COSMIC ENVIRONMENT

abstract 0611007017 issue 61 pp. 204 – 228 24.09.2010 ru 2643
Artificial intelligence system “Aids-Astra” for scientific research of global geo-systems depending on astronomical parameters of Solar system celestial bodies is discussed
281 kb

ARTIFICIAL INTELLIGENCE SYSTEM FOR IDENTIFICATION OF SOCIAL CATEGORIES OF NATIVES BASED ON ASTRONOMICAL PARAMETERS

abstract 0370803007 issue 37 pp. 65 – 85 31.03.2008 ru 4430
The cognitive simulation of AstroDatabank records by using the Artificial Intelligence System – AIDOS is reviewed in this paper. The technology of simulation is described and the mostly important results are discussed.
5856 kb

APPLICATION OF THE INFORMATION THEORY AND COGNITIVE TECHNOLOGIES FOR SOLVING PROBLEMS OF GENETICS (on the example of calculation of the amount of information in the genes about characteristics and properties of the various indigenous grape varieties)

abstract 1211607003 issue 121 pp. 116 – 165 30.09.2016 ru 602
It is well known that genetics studies the mechanisms of variation/heredity and widely uses the concept of "genetic information". While genetics considers the information as the content of the genetic code - structure of DNA and RNA included in the cell of a living organism. Genetics examines the mechanisms of recording, copying, readout of genetic information, the possibility of its modification and its influence on the characteristics and properties of the organism. In conversational and scientific language we know phrases, such as "Genes contain information about the characteristics/properties of the body." Paradoxically, we see no attempts to determine the amount of information contained in specific genes on specific characteristics or phenotypic properties of the organism. It would seem that the application of information theory in genetics is a completely natural and suggests itself. More strange that there are practically no works devoted to the application of information theory for solving problems of genetics. This article is intended, to some extent, to fill this gap on the example of calculating the amount of information in the genes of the characteristics or properties of different grape varieties. It examines the application of automated system-cognitive analysis (ASC-analysis), its mathematical model – system of information theory and software tools – intellectual system called "Eidos" for solving one of the important tasks of genetics: determine the amount of information contained in the genes on various phenotypic characteristics/properties of the grapes. To solve this problem, we perform the following steps: 1) cognitive-targeted structuring of the subject area; 2) the formalization of the subject area, i.e. development of classification and descriptive dials and graduations and training samples; 3) synthesis and verification of information model, reflecting the amount of information in the genes on the phenotypic characteristics/properties (multiparameter typing); 4) displaying the information about the genetic determination system of phenotypic characteristics/properties (SWOT analysis of Fennovoima); 5) displaying the information about the strength and direction of influence of a specific gene on phenotypic characteristics/properties (SWOT-diagrams of genes); 6) the solution to the problem of system identification phenotypic characteristics/properties by the presence of certain genes; 7) quantification of the similarities-differences of the various phenotypic characteristics/properties, upon determination system genes. A specific phenotypic property (or characteristic) is regarded as a noisy genetic text, including genetic information about the true gene property (clean signal) and the noise that distorts this information due to the random effects of the environment. The software tool of the ask-analysis which is "Eidos" intellectual system provides the noise suppression and the selection of true signal
4897 kb

APPLICATION OF THE INFORMATION THEORY AND COGNITIVE TECHNOLOGIES FOR MODELING ECOLOGICAL AND SOCIOECONOMIC SYSTEMS (ASC-analysis of the impact of environmental and commercial factors on the health of the population)

abstract 1211607001 issue 121 pp. 1 – 67 30.09.2016 ru 961
A determination system of the population health is a big complex hierarchical system. The current level of management of such systems involves the use of mathematical models and corresponding software tools for the accumulation of baseline data (monitoring), identification, prediction and decision-making. However, when modeling such large complex systems, we face a number of problems. The main problem is that in one model it is necessary to process a very large number of factors in a proper and comparable way, that are measured in different units, and different types of scales (numeric and text). Traditionally, to solve this problem and determine the values of individual criteria we use expert evaluation and desirability functions, and the integral criterion is the geometric mean. However, the traditional approach, currently applied in this field, has several disadvantages. First, in the traditional model it is defined in an expert way, which factors influence the decision of different problems in a positive way, which ones are negative and which ones do not affect. Second, for the numerical evaluation of influence factors on the solution of the problem we use different algorithms for calculating values of the desirability function for positively and negatively influencing factors which, when used as an integral criterion of the geometric average, leads to comparable results. Third, the use of normalized utility functions leads to the leveling force of the impact factors resulting in weak impact and the influencing factors are given the same variation in numeric values and have similar influence on integral criteria. All of the mentioned problems of the traditional approach have been resolved using Automated system-cognitive analysis (ASC-analysis) and its programmatic Toolkit – Universal cognitive analytical system called "Eidos". In the proposed systemic cognitive model, for the values of environmental and economic factors, without the participation of the experts, we have calculated the amount and the sign of the information contained there about some values of indicators of population health
753 kb

APPLICATION OF SC-ANALYSIS AND THE "EIDOS" SYSTEM FOR THE SYNTHESIS OF COGNITIVE MATRIX OF THE TRANSFER FUNCTION OF A COMPLEX OBJECT MANAGEMENT ON THE BASIS OF EMPIRICAL DATA

abstract 0751201053 issue 75 pp. 683 – 716 27.01.2012 ru 2907
In this article, the deep relationship between the theory of automated control and system-cognitive analysis and its software tools - system of "Eidos" in their application to the intelligent control of complex systems is reviewed. Offered technology allows implementing in practice the intelligent automated and even automatic control of the objects of management, for which earlier management is realized only on weak formalized level, as a rule, without the use of mathematical models and computers. Such control objects include, for example, technical systems, the full quality-changing in the process of management, biological and ecological systems, socio-economic and psychological systems
3395 kb

APPLICATION OF INFORMATION THEORY AND A.S.C. ANALYSIS FOR EXPERIMENTAL RESEARCH IN NUMBER THEORY

abstract 0971403048 issue 97 pp. 673 – 714 31.03.2014 ru 1915
Is it possible to automate the study of the properties of numbers and their relationship so that the results of this study can be formulated in the form of statements, indicating the specific quantity of information stored in them? To answer this question it is offered to apply the same method that is widely tested and proved in studies of real objects and their relations in various fields to study the properties of numbers in the theory of numbers namely - the automated system-cognitive analysis (A.S.C. analysis), based on information theory
1154 kb

APPLICATION OF AUTOMATED SYSTEMCOGNITIVE ANALYSIS TO PREDICT RISKS WHEN OPERATING ELECTRICAL INSTALLATIONS IN AGRICULTURE

abstract 1131509101 issue 113 pp. 1456 – 1473 30.11.2015 ru 1201
The article deals with the use of intelligent technology "Aidos" for the prevention of fires, electrical injuries, and accidents at agricultural sector and optimizing the security measures of human-machine systems. Causes of accidents are multi-phase or single-phase short-circuit in the supply network or electrical installation, the failure of the primary protective equipment and violations of regimes for electrical installations, causing overloads, deterioration of the insulation of supply cables, the mismatch of protective devices to regulatory requirements. Implementation of systemcognitive analysis provides a reduction in the number of dangerous fabricated experiences at hazardous production facilities. Due to the application of ASCanalysis, it provides a more efficient operation of electric installations on dangerous industrial objects, which means to prevent fires, electric shock injuries, accidents and optimize the safety measures for manmachine systems. Users of the system called "Eidos" may be companies with a high risk of appearance of the accidents at hazardous production objects: agroindustrial complex, gas supply, heat and electricity, oil-processing components, metallurgical industry, chemical, petrochemical and oil industry, main pipelines-wire transport, food and oil industry and others. Planned efficiency and effectiveness of the implementation of ASC-analysis is provided by reducing the number of dangerous man-made situations: accidents, fires, and electrocution on dangerous production units-projects. The implementation of ASCanalysis allows to increase city efficiency of forecasting of the technical condition of the power plant and to determine its residual lif
2024 kb

APPLICATION OF ARTIFICIAL INTELLECT TECHNOLOGIES FOR DEEP MARKETING RESEARCHES OF ADVERTISERS OF MODERN GLOSSY MAGAZINES OF KRASNODAR KRAI

abstract 0390805003 issue 39 pp. 11 – 57 30.05.2008 ru 2865
Application of systemic-cognitive analysis and its programming set of instruments of a system “AIDOS” for synthesis and marketing research of semantic informational model of publicity service market (advertisers of modern glossy magazines) of Krasnodar and Krasnodar krai are described in this article.
224 kb

AN ALGORITHM AND A PROGRAM FOR CALCULATING THE NUMBER OF COMBINATIONS FOR LARGE NUMBERS WITHOUT CALCULATING THE INTERMEDIATE FACTORIALS BY THEIR DECOMPOSITION INTO PRIME FACTORS AND ABBREVIATIONS

abstract 1181604110 issue 118 pp. 1662 – 1671 29.04.2016 ru 819
Classical combinatorial formula to calculate the number of combinations from n on m: C(n,m)=n!/(m!(nm)!) involves the intermediate calculation of factorials, which is often impossible when n>170, due to limitations in the capacity of numbers that are used in programming languages and created through these systems. However, in some cases it is necessary to calculate the number of combinations for n and m much larger than this limit, such as when a value greater than 10000. In such cases, there is a definite problem, which manifests itself, for example in the fact that many on-line services meant to calculate the number of combinations with these parameters do not work properly. In this article, we present its solution in the form of an algorithm and software implementation. The essence of the approach is to first decompose the factorials into prime factors and reduce them, and then to produce multiplication. This approach differs from those cited in the Internet
.