Neural controller for smart house security subsystem
- Author(s)
- Vasyl Teslyuk, Pavlo Denysyuk, Natalia Kryvinska, Khrystyna Beregovska, Taras Teslyuk
- Abstract
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 perception 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.
- Organisation(s)
- Department of Marketing and International Business
- External organisation(s)
- Lviv Polytechnic National University, Vasyl Stefanyk Precarpathian National University
- Journal
- Procedia Computer Science
- Volume
- 160
- Pages
- 394-401
- No. of pages
- 8
- ISSN
- 1877-0509
- DOI
- https://doi.org/10.1016/j.procs.2019.11.075
- Publication date
- 2019
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 502050 Business informatics
- Keywords
- ASJC Scopus subject areas
- General Computer Science
- Portal url
- https://ucrisportal.univie.ac.at/en/publications/ae1b7c02-bb95-45f5-80f4-b2e0731ce91c