Name
Lutsenko Yevgeniy Veniaminovich
Scholastic degree
•
Academic rank
professor
Honorary rank
—
Organization, job position
Kuban State Agrarian University
Web site url
Articles count: 276
In the article the mathematical model, a technique of numerical calculations (including algorithms and structures of data) and their program realization in an infrastructure of universal cognitive analytical system of "Eidos", and also the intellectual technology and a technique of revealing and research of functional dependences of volumes of production in regional agrarian and industrial complex from structure of expenses are offered. Results of appliance of the given intellectual technology on materials of agrarian and industrial complex of Krasnodar region are resulted and the recommendations about perfection of structure of expenses are offered on their basis
The mathematical essence of systemic information theory(STI) offered by the author is the mathematic model of systemic-cognitive analysis ( SC-analysis) realized in its programming instruments – universal cognitive analytical system “AIDOS”.
The researchers obtained data on the morphological, biochemical and trace element composition of the blood of bull-calves of Hereford breed of different sizes. In this regard, scientists and business executives have three natural questions: 1) whether it is possible to predict the size and thus the meat productivity of bulls using these blood indicators; what are the strength and direction of the influence of certain values of blood indicators on the size and weight of bulls; what blood indicators are similar in meaning, and what are different and how much (to what extent). The article is devoted to the reasoned answers to these questions by applying modern methods of mathematical and numerical modeling to solve the corresponding problems. The results of the study can be used by anyone, due to the fact that Eidos the universal automated system, which is a tool of ask-analysis, is in full open free access on the author's website at: http://lc.kubagro.ru/aidos/_Aidos-X.htm, and numerical examples of solving the mentioned problems with the use of artificial intelligence technologies are placed as a cloud Eidos-application #133
The article briefly describes the essence of management, stating the goals and structure of the system of personnel management. It considers the essence of the method of functional-cost analysis (FCA) and, as a major gap, we have noted a low level of formalization, which requires the involvement of experts in applying the FSA. It also specifies the difference between the cost and the cost price. We consider the decision of questions of creation of the personnel management system on the FCA basis using the method of automated system-cognitive analysis (ASA-analysis), in particular: the measurement of the severity of socio-economic and psychological properties, metric scales, build intellectual measuring system, the development and application of models, providing both building occupation graphs and their application to measure the degree of compliance of the Respondent with the requirements of professional positions and to the positions including the cost of employment of personnel and resources allocated for staff on posts. The proposed approach can be applied not only at the decision of tasks of human resource management with DAF method, but when you apply the FSA in a variety of subject areas, in particular - the method of direct-Costing
In article the main problem of management of agro industrial holding is formulated and the basic results of its solution on the basis of application of the modern automated technology of management by knowledge, i.e. systemic-cognitive analysis (SC-analysis) are shown. The technology of cognitive functions of SC-analysis, providing both revealing of knowledge from empirical data, and use of this knowledge for decision-making support of management of holding as a whole, on the basis of management of characteristics of the sub-enterprises, is examined in details
The work discusses various examples of physical
systems which state is determined by the logarithmic
law - quantum and classical statistical systems and
relativistic motion in multidimensional spaces. It was
established that the Fermi-Dirac statistics and BoseEinstein-Maxwell-Boltzmann
distribution could be
described by a single equation, which follows from
Einstein's equations for systems with central
symmetry. We have built the rate of emergence of
classical and quantum systems. The interrelation
between statistical and dynamic parameters in
supergravity theory in spaces of arbitrary dimension
was established. It is shown that the description of the
motion of a large number of particles can be reduced
to the problem of motion on a hypersphere. Radial
motion in this model is reduced to the known
distributions of quantum and classical statistics. The
model of angular movement is reduced to a system of
nonlinear equations describing the interaction of a test
particle with sources logarithmic type. The HamiltonJacobi
equation was integrated under the most general
assumptions in the case of centrally-symmetric metric.
The dependence of actions on the system parameters
and metrics was found out. It is shown that in the case
of fermions the action reaches extremum in fourdimensional
space. In the case of bosons there is a
local extremum of action in spaces of any dimension
In the article, we proposed the fundamental mathematical support of the state investment management of the agricultural production at the regional level, the content of which is determined by the next run of the development: the structure of the investment mechanism of farm management, hierarchy and relationship models and stages of the investment management of agricultural production; models preliminary comparative evaluation of agricultural enterprises - participants of the investment process, models and algorithms investment and resource optimization of the industrial structure of agricultural enterprises; models final selection of participants implementation of public investment programs and the distribution of funds
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"
Classic quantitative measure of the reliability of the models: F-measure by van Rijsbergen is based on counting the total number of correctly and incorrectly classified and not classified objects in the training sample. In multiclass classification systems, the facility can simultaneously apply to multiple classes. Accordingly, when the synthesis of the model description is used for formation of generalized images of many of the classes it belongs to. When using the model for classification, it is determined by the degree of similarity or divergence of the object with all classes, and a true-positive decision may be the membership of the object to several classes. The result of this classification may be that the object is not just rightly or wrongly relates or does not relate to different classes, both in the classical F-measure, but rightly or wrongly relates or does not relate to them in varying degrees. However, the classic F-measure does not count the fact that the object may in fact simultaneously belongs to multiple classes (multicrossover) and the fact that the classification result can be obtained with a different degree of similarity-differences of object classes (blurring). In the numerical example, the author states that with true-positive and true-negative decisions, the module similarities-differences of the object classes are much higher than for false-positive and false-negative decisions. It would therefore be rational to the extent that the reliability of the model to take into account not just the fact of true or false positive or negative decisions, but also to take into account the degree of confidence of the classifier in these decisions. In classifying big data we have revealed a large number of false-positive decisions with a low level of similarity, which, however, in total, contribute to reducing the reliability of the model. To overcome this problem, we propose a L2-measure, in which instead of the sum of levels of similarity we use the average similarity by different classifications. Thus, this work offers measures of the reliability of the models, called L1-measure and the L2 measure, mitigating and overcoming the shortcomings of the F-measures; these measures are described mathematically and their application is demonstrated on a simple numerical example. In the intellectual system called "Eidos", which is a software toolkit for the automated system-cognitive analysis (ASC-analysis), we have implemented all these measures of the reliability of the models: F, L1 and L2
There are three main growth points of modern information technologies: global network and mobile communication, advanced human-machine interfaces, intelligent technologies. As it is known, the system (synergistic) effect is usually observed in multidisciplinary and interdisciplinary researches. This means that an interesting direction of research and development is located at the overlap of these three promising areas, namely: advanced interfaces in the global mobile networks, advanced intelligent interfaces and the application of artificial intelligence technologies in the Internet and mobile communications. In addition, a particularly high relevance goes to the development and application prospective of intelligent interfaces to the Internet and mobile communications. The Internet intellectualities gradually, it turns from non-local storage of large data (big data) in information space that contains meaningful big data, i.e. "great information" (great info), and then in the space of knowledge or "cognitive space" in which most information is actively used to achieve goals (management) and turns into the "great knowledge" (great knowledge). There are more sites devoted to artificial intelligence, free databases for machine learning (UCI, Kaggle, and others) and even on-line intelligent applications, and interfaces used in the Internet are improving. Recently, there was an acquisition of company Oculus, which is the world's leading developer and manufacturer of ammunition of virtual reality by the developer of one of the first global social networking Facebook - Mark Zuckerberg. However, students and scientists still do not notice that open, scalable, interactive, intelligent on-line environment for learning and researches already exists and operates, based on automated system-cognitive analysis (ASC-analysis) and its programmatic Toolkit – intellectual "Eidos" and the author's website. This article is an original presentation and it is designed to familiarize potential users with the capabilities of this environment