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Algebraic Recognition Approach in IoT Ecosystem

Anvar KabulovApplied Mathematics and Intelligent Technologies Faculty, National University of Uzbekistan, Tashkent 100174, UzbekistanIslambek SaymanovApplied Mathematics and Intelligent Technologies Faculty, National University of Uzbekistan, Tashkent 100174, UzbekistanAkbarjon BabadjanovDepartment of Information Systems, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USAAlimdzhan Babadzhanov
Mathematicsjournal2024en
ABI

Аннотация

The solution to the problem of identifying objects in the IoT ecosystem of the Aral region is analyzed. The problem of constructing a correct algorithm with linear closure operators of a model for calculating estimates for identifying objects in the IoT ecosystem of the Aral region is considered. An algorithm operator is developed, which is considered correct for the problem Z, is the sum of q operators of the assessment calculation model, and is described by a set of numerical parameters 3·n·m·q, where n is the number of specified features, m is the number of reference objects, and q is the set of recognized objects. Within the framework of the algebraic approach, several variants of linear combinations of recognition operators are constructed, the use of which gives the correct answer on the control material, and this is proven in the form of theorems. The constructed correct recognition algorithms, which are the easiest to use, where there is no optimization procedure, make it possible to quickly solve the issue of identifying incoming information flows in the IoT ecosystem of the Aral region.

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Показатели — AkademScholar · Скоро