title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð°ÑÑ Ð¸ÑÐµÐºÑÑÑÑ ÑÐ¸ÑÑÐµÐ¼Ñ Ð¸Ð½ÑÐµÑÐ½ÐµÑÐ° Ð²ÐµÑÐµÐ¹ Ð´Ð»Ñ Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑÑÐ°Ð»ÑÐ½Ð¾Ð³Ð¾ ÑÐ½ÐµÑÐ³Ð¾ÑÐ±ÐµÑÐµÐ³Ð°ÑÑÐµÐ³Ð¾ Ð¾ÑÐ²ÐµÑÐµÐ½Ð¸Ñ Ð´Ð¾Ð¼Ð°
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Developing an internet of things system for intelligent energy saving home lighting
Creators: name: Ð¢ÑÑÐ½Ð¾Ð²ÑÐºÐ°Ñ, ÐÐ°Ð»ÐµÑÐ¸Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2021
Subjects: Ð¸Ð½ÑÐµÑÐ½ÐµÑ Ð²ÐµÑÐµÐ¹
Ð±ÐµÑÐ¿ÑÐ¾Ð²Ð¾Ð´Ð½Ð°Ñ ÑÐµÐ½ÑÐ¾ÑÐ½Ð°Ñ ÑÐµÑÑ
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Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
ÑÐ¼Ð½ÑÐ¹ Ð´Ð¾Ð¼
Ð°ÑÑ Ð¸ÑÐµÐºÑÑÑÐ° Ð¸Ð½ÑÐµÑÐ½ÐµÑÐ° Ð²ÐµÑÐµÐ¹
Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½Ð½ÑÐ¹ Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑ
internet of things
wireless sensor network
lighting
lora
lorawan
machine learning
smart home
internet of things architecture
lte
artificial intelligence

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description: The given work is devoted to the study of the concept of the Internet of Things, the development and description of scenarios and architecture of the Internet of Things for intelligent energy-efficient lighting at home. The first chapter provides an overview of technologies and their solutions for creating energy-efficient lighting at home. Based on the analyzed technologies, a new solution was obtained using artificial intelligence. The second chapter describes a detailed layout for the implementation of smart energy-efficient lighting. A detailed description of each scenario was also provided in the form of flowcharts of a complete and simplified layout. As a result, the analysis of the collected data from a simplified layout of the physical layer of the Internet of Things for the system under development and for the complete layout of the room was carried out. The coefficients of adjustment for color temperature and brightness were calculated, as well as artificial intelligence algorithms for the operation of the system. When using data analysis, models were used for current data to predict new outcomes. The following methods were chosen as the methods used: decision trees and nearest neighbors.