4.5 Article

IoT Devices Signals Processing Based on Shepard Local Approximation Operators Defined in Riesz MV-Algebras

Journal

INFORMATICA
Volume 31, Issue 1, Pages 131-142

Publisher

INST MATHEMATICS & INFORMATICS
DOI: 10.15388/20-INFOR395

Keywords

IoT devices; signal processing; Shepard local approximation operators; local approximation operators; approximation algorithms; Riesz MV-algebras; vectorial MV-algebras

Funding

  1. UEFISCDI Romania [198PED/2017, PN-III-P2-2.1-PED-2016-1955]

Ask authors/readers for more resources

The Industry 4.0 and smart city solutions are impossible to be implemented without using IoT devices. There can be several problems in acquiring data from these IoT devices, problems that can lead to missing values. Without a complete set of data, the automation of processes is not possible or is not satisfying enough. The aim of this paper is to introduce a new algorithm that can be used to fill in the missing values of signals sent by IoT devices. In order to do that, we introduce Shepard local approximation operators in Riesz MV-algebras for one variable function and we structure the set of possible values of the IoT devices signals as Riesz MV-algebra. Based on these local approximation operators we define a new algorithm and we test it to prove that it can be used to fill in the missing values of signals sent by IoT devices.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available