Neural controller for smart house security subsystem | Zendy

Vasyl Teslyuk | Zendy; Pavlo Denysyuk | Zendy; Natalia Kryvinska | Zendy; Khrystyna Beregovska | Zendy; Taras Teslyuk | Zendy

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Neural controller for smart house security subsystem

Author(s) -

Vasyl Teslyuk,

Pavlo Denysyuk,

Natalia Kryvinska,

Khrystyna Beregovska,

Taras Teslyuk

Publication year - 2019

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2019.11.075

Subject(s) - computer science , microcontroller , artificial neural network , controller (irrigation) , arduino , fuzzy logic , embedded system , multilayer perceptron , artificial intelligence , agronomy , biology

The Smart House security subsystem is presented in the paper. The subsystem is based on neural controller that uses an artificial neural network of a multilayer perceptron type, a model based on the Petri nets theory and physical model based on an Arduino microcontroller. The model of artificial neural network is developed using C++ and loaded into microcontroller memory. The presented security subsystem Smart House supports processing fuzzy and semistructured data received from sensor subsystems.

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