IoT Wallet: Machine Learning-based Sensor Portfolio Application (CROSBI ID 694678)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Šolić, Petar ; Lojić Kapetanović, Ante ; Županović, Tomislav ; Kovačević, Ivo ; Perković, Toni ; Popovski, Petar
engleski
IoT Wallet: Machine Learning-based Sensor Portfolio Application
In this paper an application for building sensor wallet is presented. Currently, given system collects sensor data from The Things Network (TTN) cloud system, stores the data into the Influx database and presents the processed data to the user dashboard. Based on the type of the user, data can be viewed-only, controlled or the top user can register the sensor to the system. Moreover, the system can notify users based on the rules that can be adjusted through the user interface. The special feature of the system is the machine learning service that can be used in various scenarios and is presented throughout the case study that gives a novel approach to estimate soil moisture from the signal strength of a given underground LoRa beacon node.
Internet of Things ; LoRa ; deep learning ; time series modeling ; long short-term memory neural networks
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
1-5.
2020.
objavljeno
10.23919/SpliTech49282.2020.9243699
Podaci o matičnoj publikaciji
5th International Conference on Smart and Sustainable Technologies (SpliTech)
978-953-290-105-4
Podaci o skupu
5th International Conference on Smart and Sustainable Technologies 2020
predavanje
23.09.2020-26.09.2020
Bol, Hrvatska
Povezanost rada
Elektrotehnika, Informacijske i komunikacijske znanosti, Računarstvo