Scientific Journal of KubSAU

Polythematic online scientific journal
of Kuban State Agrarian University
ISSN 1990-4665
AGRIS logo UlrichsWeb logo DOAJ logo

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: 244

Sort by: Date Title Views
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 216
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 1349
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 1808
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 2559
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.
140 kb

COGNITIVE MODELS OF PREDICTION THE DEVELOPMENT OF A DIVERSIFIED CORPORATION

abstract 1221608003 issue 122 pp. 32 – 42 31.10.2016 ru 267
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
117 kb

CONCEPTUAL BASES OF MANAGEMENT OF THE ECONOMIC SUSTAINABILITY OF A PROCESSING REGIONAL COMPLEX WITH THE USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES

abstract 0871303057 issue 87 pp. 732 – 741 30.03.2013 ru 1378
The processing complex of a region is considered as a multi-level hierarchical active reflective system, which is the object of intellectual control. The economic stability of the regional processing complex is considered as one of the most important because of its characteristics, as they considerably affect the quantitative and the qualitative results of the work. The system-cognitive approach to the construction and verification of the system of intellectual models of processing of the regional complex is implemented. We have selected the most adequate model of the processing complex of the region, in which we explore the issues of management of its economic stability
532 kb

CORRELATION OF STOCK INDEX S & P 500 VS THE ASTROMOMICAL AND GEOPHYSICAL PARAMETERS (Systemic cognitive analysis of interrelation of noosphere, lithosphere, magnetosphere and space environment)

abstract 0571003013 issue 57 pp. 237 – 256 30.03.2010 ru 2689
We study the correlation between the stock index S & P 500 with the parameters of seismic activity, the position of celestial bodies and shifts the geographic and magnetic poles
3641 kb

CREATION OF THE GENERALIZED IMAGES OF GENUS OF BUGS OF GROUND BEETLES (COLEOPTERA, CARABIDAE) ON THE BASIS OF THEIR TYPES IMAGES, USING THE ASKANALYSIS METHOD

abstract 1231609002 issue 123 pp. 30 – 66 30.11.2016 ru 279
In this article we consider application of the automated systemic and cognitive analysis (ASK-analysis), its mathematical model – a systemic information theory and the program tools realizing them – the intellectual Eidos system, for input (digitization) of images from graphic files, synthesis of the generalized images of classes, their abstraction, classification of the generalized images of classes (clusters and constructs), comparison of concrete images with the generalized images (identification) of classes, comparisons of classes with each other and creations of the generalized images of genus of ground beetles on the basis of images of the types. The new approach to digitization of images of ground beetles based on use of a polar frame, the center of weight of the image and its external contour is offered. Before digitization of images, their transformations standardizing the provision of images, their sizes and an angle of rotation can be applied. Therefore, the results of digitization and the ASK-analysis of images can be invariant (are independent) concerning their situation, the sizes and turn. There is a successful experience of the solution of similar tasks in other subject domains. This article can be considered as a continuation of series of the works devoted to application of the automated systemic and cognitive analysis (ASK-analysis) and its program tools – the Eidos system
4186 kb

CURRENT STATUS AND PROSPECTS OF THE POLY-THEMATIC ONLINE SCIENTIFIC JOURNAL OF KUBAN STATE AGRARIAN UNIVERSITY

abstract 1001406008 issue 100 pp. 146 – 176 30.06.2014 ru 1680
The article covers the present state and prospects of the development of the polythematic online electronic scientific journal of Kuban state agrarian University, along with describing its features
766 kb

DECISION OF PROGNOSIS TASKS AND SUPPORT OF DECISION TAKINGS ( MANAGEMENT) FOR AGRO INDUSTRIAL HOLDING ON THE BASE OF ITS TWO-LEVEL SEMANTIC INFORMATION MODEL

abstract 0420808002 issue 42 pp. 16 – 34 14.10.2008 ru 2816
Examples of setting and solving of prognosis tasks and support of decision takings (management) for agro industrial holding on the base of its two-level semantic informational model are casted.
.