Development of a holistic methodology for the organization of smart home systems in the framework of the "Internet of Things" paradigm.

Keywords: smart home, home automation, neural network algorithms, probability-time model, conditional random field model, climate control.


The modern approaches used in the hardware and software platforms of home automation systems such as smart home in the framework of the general concept of the "Internet of Things" are discussed. To organize the interaction between elements of the home automation platform, it was proposed to use probabilistic-temporal models, in particular, a conditional random field model and neural network prediction algorithms. A universal scheme for the organization, control and management of sensors, controllers and actuators of the smart home system has been built. The proposed basic approaches for the introduction of probability-time models for the construction of home automation neural network algorithms. A mathematical model of the neural network algorithm for classifying of the input information signals patterns received from a network of sensors is constructed.


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Kukunin, S. (2020). Development of a holistic methodology for the organization of smart home systems in the framework of the "Internet of Things" paradigm . COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, (38), 40-45.