Necessity of chosen way of realization of visual interface for spatial objects is substantiated in the article, the essence of new method , its comparison with known approach in GISs, application to the systems of automated planning of farming for agricultural enterprise are described briefly as well.
Problem of existence of global antientropic factor
of system development as a universal information
variational law (UIVL) is positioned in the article. Variational laws in physics, chemistry, theory of
technology development, economics, psychology, some of them are known, and others , firstly in
explicit form, have been formulated in this article.
Mathematical model, based on systemic theory of
information, and realizing its algorithm of pure
y evolutional (extensive), purely revolutionary
( intensive) and mixed system development is
offered and realized more often in practice.
Numerical valuations of emergency increase degree, information accumulation rate in a system and other information system features in evolution in accordance with these models and algorithm.
The urgency of models and algorithms of adaptive control of fish filleting process researches has been shown. The structure of adaptive automatic management system of filleting equipment, including estimator in the form of consequent statistical analyzer and adaptator as a linear tactic automaton, is offered. The lite recurrent model of adaptation algorithm for statistical tests by Monte-Carlo method and results of modeling is offered, modeling results were stated.
The problematic caused by necessity of technological and ecological specifications observance under manufacturing of aviation-chemical works which distinctive features are, from one hand - high efficiency, and with another hand – non objective introduction of chemicals with non-observance of guidelines of ecological reliability is presented in the article. The analysis of classical parameters of management quality, determination of basic parameter - accuracy and methods of its effective values achievement allows to configure the structurally functional scheme of the automated control system of the quality, allowing to carry out management on the basis of three-dimensional model of a spreading surface in real scale of time.
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 article is devoted to the development of energy-saving sowing section of bread-stuff seeding
machines of direct sowing, methods of theoretical and experimental determination of drag-out resistance of combined plow are casted.
Results of experimental researches of determination
of an available strike impulse of corn combs under
its separation in a corn harvester were shown in the article. The optimal combination of researched factors
was chosen in the result of experimental researches.
The Role of Excimer’ Molecule in the Conditions of the Impulse Glow Discharge is shown in the article. The accumulation of abovementioned molecule is needed for the successful synthesis of the fluorine argon compounds.
In the article we examine the application of the systemic cognitive analysis and the system theory of the information (STI) for the decision of a known problem of mathematical logic and the mathematical linguistics which have received the name "Problem of a referential class". There is a hypothesis that the given problem is a problem of these scientific directions and is naturally overcome in the theory and practice of systems of an artificial intellect, in particular in systemic cognitive analysis and its mathematical model of the system theory of the information.
In the article we suggest second semantic information model of the systemic cognitive analysis where a quantitative measure of knowledge and cognitive integrated criterion which is the sum of knowledge of behavior of the object of management under the influence of system of factors are proved on the basis of probability theory