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: 246

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195 kb

GENERALIZED COEFFICIENT OF HARTLEY'S EMERGENCE AS THE QUANTITATIVE STANDARD OF SYNERGETIC EFFECT OF INTEGRATING OF BULEANS IN SYSTEM GENERALIZATION OF THE THEORY OF VARIETIES

abstract 0661102045 issue 66 pp. 535 – 545 28.02.2011 ru 2035
In the article general mathematical expression for a quantitative assessment of system (synergetic) effect, arising when integrating buleans (systems), being a generalization of sets in system generalization of the theory of varieties and independent of an expedient (algorithm) of formation of subsystems in system is offered. For this quantitative standard the name is offered: «Generalized coefficient of emergence by R.Hartli» because of likeness of its mathematical shape to the local coefficient of emergence of Hartli, reflecting a degree of difference of system from the variety of its base devices. For local coefficient of emergence of Hartli, the generalization independent of an expedient (algorithm) of formation of subsystems in system is offered. Numerical estimates of system's effect are given at integrating of two systems with ap-plication of the author's program to which the refer-ence is given
425 kb

GRAVITATIONAL WAVES AND EMERGENCE PARAMETER OF CLASSICAL AND QUANTUM SYSTEMS

abstract 0971403092 issue 97 pp. 1342 – 1367 31.03.2014 ru 1566
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
561 kb

HIRSCH-MANIA WHEN EVALUATING THE RESULTS OF SCIENTIFIC ACTIVITY, ITS NEGATIVE EFFECTS AND AN ATTEMPT TO OVERCOME THEM WITH THE USE OF A MULTI-CRITERIA APPROACH AND INFORMATION THEORY

abstract 1081504001 issue 108 pp. 1 – 29 30.04.2015 ru 597
Recently, the process of monetization of the evaluation of scientific activity was initiated, and there is a need for quantitative methods and comparable assessment of the effectiveness and quality of work of a scientist. There are numerous methods to reward for these results. What is common to all these techniques covered is the role of the Hirsch index or h-index. By itself, this index is well founded. However, in connection with the practice of application of h-index in our environment in the minds of the scientific community it has started some kind of mania, which the author proposes to call "Hirsch-mania". This mania is characterized by elevated unhealthy interest to the value of the Hirsch index, especially inadequate artificial exaggeration of this value, as well as a number of negative implications of this interest. In this article we have made an attempt to briefly describe some of the negative effects of this new mental infection that hit the public consciousness of the scientific community. And also we want to identify ways of overcoming at least some of their causes. This is the problem solved in this work. To solve the formulated problem, we propose to apply multi-criteria approach based on information theory, namely those options, which are implemented in an automated system-cognitive analysis (ASC-analysis) and its software tools - intelligent system called "Eidos
4120 kb

HOW TO SOLVE THE TASK OF CLASSIFICATION OF TYPES OF RIFLE AMMUNITION USING THE METHOD OF ASCANALYSIS

abstract 1171603055 issue 117 pp. 841 – 875 31.03.2016 ru 226
In forensics there is an urgent need to determine the type of rifle (automatic, rifle, large caliber pistol) depending on its used ammunition found at the scene of the use of weapons. We offer a solution to this problem with the use of new innovative method of artificial intelligence: automated system-cognitive analysis (ASC-analysis) and its program toolkitwhich is a universal cognitive analytical system called "Eidos". In the "Eidos" system we have implemented the software interface that allows posting of images and identifying their outer contours. By multivariable typing, the system creates a systemic-cognitive model, the use of which, if the model is sufficiently accurate, may be helpful in solving problems of system identification, prediction, classification, decision support and research of the modeled object by studying its model. For this task the following stages: 1) input images of ammunitions into the "Eidos" system and creation of their mathematical models; 2) the synthesis and verification of the models of generalized images of ammunition for types of weapons based on the contour images of specific munitions (multiparameter typing); 3) improving the quality of the model by separating classes for typical and atypical parts; 4) quantification of the similarities-the differences between specific types of munitions with generic images of different types of ammunition of the weapon (system identification); 5) quantification of the similarity-differences between types of ammunition, i.e. cluster-constructive analysis of generalized images of ammunition. A numerical example is given. We also possess a successful experience of solving similar problems in other subject areas
4550 kb

HOW TO SOLVE THE TASK OF CLASSIFICATION OF TYPES OF RIFLE AMMUNITION USING THE METHOD OF ASCANALYSIS

abstract 1181604001 issue 118 pp. 1 – 40 29.04.2016 ru 433
In criminology, there are actual problems of determining the type (machine gun, rifle, large caliber, pistol) and a particular model of small rifle for its ammunition, in particular, discovered in the use of weapons. The article proposes a solution to this problem with the use of a new innovative method of artificial intelligence: automated system-cognitive analysis (ASCanalysis) and its programmatic toolkit – a universal cognitive analytical system called "Eidos". In the system of "Eidos", we have implemented a software interface that provides input to the system images, and the identification of their external contours on the basis of luminance and color contrast. Typing by multiparameter contour images of specific ammunition, we create and verify the system-cognitive model, with the use of which (if the model is sufficiently reliable), we can solve problems of system identification, classification, study of the simulated object by studying its model and others. For these tasks we perform the following steps: 1) enter the images of ammunitions into the system of "Eidos" and create mathematical models of their contours; 2) synthesis and verification of models of the generalized images of ammunition for types of weapons based on the contour images of specific munitions (multivariate typology); 3) quantification of the similarities-differences of the specific ammunition with generalized images of ammunition of various types and models of small rifle (system identification); 4) quantification of the similarities-differences of the types of munitions, i.e. cluster-constructive analysis
9205 kb

IDENTIFICATION OF TYPES AND MODELS OF AIRCRAFT USING ASC-ANALYSIS OF THEIR SILHOUETTES (CONTOURS) (GENERALIZATION, ABSTRACTION, CLASSIFICATION AND IDENTIFICATION)

abstract 1141510099 issue 114 pp. 1319 – 1370 30.12.2015 ru 420
The article discusses the application of automated system-cognitive analysis (ASC-analysis), its mathematical model which is system theory of information and its software tool, which is intellectual system called "Eidos" for solving problems related to identification of types and models of aircraft by their silhouettes on the ground, to be more precise, their external contours: 1) digitization of scanned images of aircraft and creation of their mathematical models; 2) formation of mathematical models of specific aircraft with the use of the information theory; 3) modeling of the generalized images of various aircraft types and models and their graphic visualization; 4) comparing an image of a particular plane with generalized images of various aircraft types and models, and quantifying the degree of similarities and differences between them, i.e., the identification of the type and model of airplane by its silhouette (contour) on the ground; 5) quantification of the similarities and differences of the generalized images of the planes with each other, i.e., clusterconstructive analysis of generalized images of various aircraft types and models. The article gives a new approach to digitizing images of aircraft, based on the use of the polar coordinate system, the center of gravity of the image and its external contour. Before digitizing images, we may use their transformation, standardizing the position of the images, their sizes (resolution, distance) and the angle of rotation (angle) in three dimensions. Therefore, the results of digitization and ASC-analysis of the images can be invariant (independent) relative to their position, dimensions and turns. The shape of the contour of a particular aircraft is considered as a noise information on the type and model of aircraft, including information about the true shape of the aircraft type and its model (clean signal) and noise, which distort the real shape, due to noise influences, both of the means of countering detection and identification, and environment. Software tool of ASC-analysis, i.e. Eidos intellectual system, provides identification of the type and the model of airplane by its silhouette, as it was shown in a simplified numerical example
3138 kb

IDENTIFICATION OF VARIETIES OF IRISES BY THEIR APPEARANCE WITH THE USE OF ASC-ANALYSIS AND "EIDOS" INTELLECTUAL SYSTEM (REPOSITORY UCI DATA)

abstract 1231609121 issue 123 pp. 1801 – 1835 30.11.2016 ru 135
The creation of artificial intelligence systems is one of important and perspective directions of development of modern information technology. Since there are many alternatives of mathematical models of systems of artificial intelligence, there is a need to assess the quality of these models, which requires their comparison. To achieve this goal we require free access to the source data and methodology, which allows to convert these data into a form needed for processing in artificial intelligence. A good choice for these purposes is a database of test problems for systems of artificial intelligence of repository of UCI. In this work we used the database "Iris Data Set" from the bank's original task of artificial intelligence – UCI repository, which solved the problem of formalization of the subject area (development of classification and descriptive dials and graduations and the encoding of the source data, resulting training sample, essentially representing a normalized source data), synthesis and verification statistical and system-cognitive models of the subject area, identify colors with classes, which serve varieties of Iris, as well as studies of the subject area by studying its model. To solve these problems we used the automated system-cognitive analysis (ASC-analysis) and its programmatic Toolkit – intellectual system called "Eidos"
461 kb

IMPLEMENTATION OF OPERATION OF INTEGRATING OF SYSTEMS IN SYSTEM GENERALIZATION OF THE THEORY OF SETS (BULEAN INTEGRATING)

abstract 0651101029 issue 65 pp. 354 – 391 31.01.2011 ru 1731
In the article, the embodying of operation of integrating of systems, being generalization of operation of integrating of sets within the limits of system generalization of the theory of sets is considered. This operation is similar to bulean integrating operation of the classical theory of sets. However, unlike the classical theory of sets, the concrete algorithm of integrating of systems in its system generalization is offered and the quantitative standard system effect (synergetic, emergetic) arising with the application of integrating of systems is proved. For this standard, the unique name is offered: «The generalized coefficient of emerge by R.Hartley» because of likeness of its mathematical form to the local coefficient of emerge by Hartley, reflecting a degree of difference of system from the set of its base elements. The reference to the author's program realizing offered algorithm and providing numerical modeling of integrating of systems at various restrictions on complexity of systems and at various power of generating set is given, some effects of numerical modeling are given
3121 kb

IMPLEMENTATION OF PSYCHOLOGICAL, PEDAGOGICAL AND PROFESSION ORIENTED TESTS AND SUPER TESTS WITHOUT PROGRAMMING IN THE ENVIRONMENT OF THE EIDOS-X++ INTELLECTUAL SYSTEM (On the example of the test: Analysis of the individual style of pedagogical activity)

abstract 0881304076 issue 88 pp. 1058 – 1086 30.04.2013 ru 1392
The article describes the application of the Eidos intellectual technologies for the implementation of already developed psychological, pedagogical and profession oriented tests and super tests without programming in the form, convenient for mass testing, for the analysis of the results and the formulation of individual rec-ommendations
349 kb

IMPROVEMENT OF QUALITY OF «KNOWLEDGE MANAGEMENT» MODELS BY DIVISION OF CLASSES INTO TYPICAL AND ATYPICAL PARTS

abstract 0540910005 issue 54 pp. 78 – 93 21.12.2009 ru 2495
In the article the approach to increase of adequacy of semantic information models of management by knowledge after passage by modeled object of a point of bifurcation (change of ergodity period), realized in universal cognitive analytical Eidos system is examined
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