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Context-based System for User-Centric Smart Environment (CROSBI ID 695813)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Mandaric, Katarina ; Skocir, Pavle ; Jezic, Gordan Context-based System for User-Centric Smart Environment // 2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM). Split: Institute of Electrical and Electronics Engineers (IEEE), 2020. doi: 10.23919/softcom50211.2020.9238215

Podaci o odgovornosti

Mandaric, Katarina ; Skocir, Pavle ; Jezic, Gordan

engleski

Context-based System for User-Centric Smart Environment

Internet of Things (IoT) solutions are becoming ubiquitous in various application domains. In homes and offices, IoT systems enable remote and scheduled operation of heating, ventilation and air conditioning (HVAC) systems, lighting control, control of kitchen and other home appliances, etc. Available solutions in the smart home domain mainly enable controlling systems and appliances remotely, e.g., by using a smartphone, or manually setting the times in which systems and appliances should operate. In this paper we propose a system for indoor lighting control which sets the colors and brightness of the lamps based on the context: time of the day, current lighting conditions in the room, and having users in the focus - their lighting preferences in the room. Feed-forward neural networks are used for learning about the most pleasing settings. The major advantage of this system is its user- centricity, i.e., taking into account users' color and brightness preferences. The system is evaluated on twenty-two (22) users in a laboratory environment and demonstrates general user score rate of 68.18% as "great" and 31.82% as "good".

Cognitive Internet of Things, Artificial Neural Networks, User-Centricity, Smart Lighting

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Podaci o prilogu

9238215

2020.

objavljeno

10.23919/softcom50211.2020.9238215

Podaci o matičnoj publikaciji

2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)

Split: Institute of Electrical and Electronics Engineers (IEEE)

978-953-290-099-6

1847-358X

Podaci o skupu

28th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2020

predavanje

17.09.2020-19.09.2020

Hvar, Hrvatska; Split, Hrvatska

Povezanost rada

Elektrotehnika, Računarstvo

Poveznice