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Industrial Automatic Control Systems and Controllers

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Method, Algorithms and Authentication Interface Situational Environment Through the Integration of Information and Business Intelligence
Morozova T.Yu. Akimov D.A. Rabotkin V.D. Terekhin I.V.

In this paper we propose a method, algorithms and authentication interface situational environment by means of the integration of information and business intelligence based on the theory of fuzzy logic. We solve the problem of fuzzy pattern recognition commands, filed by man.
Initial data for the recognition of situational environment is an object in a video stream. Finding and tracking moving objects in a video stream is an important problem for applications such as computer vision.
The method of recognizing the situational environment is based on splitting the cases into classes, which is a logical and algebraic approach, based on formal concept analysis. The method is applied to the structuring and formation of logical rules to establish the cause-and-effect relationships.
In recognition of situations using multiple input situation from the database by transmitting the input parameters and current parameters of the situation. Input may be either through direct transmission parameters and the user interface.

Keywords: intelligent analysis; situational conditions; fuzzy logic; Haar transform; interface; logic rules; cause-and-effect relationship.

Contacts: E-mail: tmorozova200@rambler.ru

Pp. 38-44.

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