loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Marcos Paulo Konzen 1 ; 2 ; Patric Lincoln Ramires Izolan 1 ; Fábio Diniz Griesang 1 ; Paulo Silas Severo De Souza 3 ; Tiago Coelho Ferreto 3 ; Arthur Francisco Lorenzon 4 ; Marcelo Caggiani Luizelli 4 ; Julio Carlos Balzano De Mattos 2 ; Cinara Ewerling Da Rosa 1 and Fábio Júnior Rossi 1

Affiliations: 1 Federal Institute Farroupilha, Alegrete, Brazil ; 2 Federal University of Pelotas, Pelotas, Brazil ; 3 Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil ; 4 Federal University of Pampa, Alegrete, Brazil

Keyword(s): IoT, Modeling, Sensors, Simulation.

Abstract: Virtual sensors are software entities that allow the estimation, through models, of critical variables in a given environment. Metrics can be modeled computationally to estimate the values measured by a sensor without installing it physically in the specified location. The monitoring and control of its variables by the edge are of great importance, as they are directly related to increased productivity. This article presents the idea behind virtual sensors, discusses some challenges and trends, presents such sensors’ modeling for estimating values, and gives results based on a Smart Farming case study. The results show that the virtual sensors’ estimated values are very close to reality, which shows that our method can be used with very high confidence.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.119.137.175

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Konzen, M.; Izolan, P.; Griesang, F.; De Souza, P.; Ferreto, T.; Lorenzon, A.; Luizelli, M.; Balzano De Mattos, J.; Ewerling Da Rosa, C. and Rossi, F. (2022). Multivariate Interpolation at the Edge to Infer Faulty IoT Sensor Metrics. In Proceedings of the 12th International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-758-570-8; ISSN 2184-5042, SciTePress, pages 280-287. DOI: 10.5220/0011084100003200

@conference{closer22,
author={Marcos Paulo Konzen. and Patric Lincoln Ramires Izolan. and Fábio Diniz Griesang. and Paulo Silas Severo {De Souza}. and Tiago Coelho Ferreto. and Arthur Francisco Lorenzon. and Marcelo Caggiani Luizelli. and Julio Carlos {Balzano De Mattos}. and Cinara {Ewerling Da Rosa}. and Fábio Júnior Rossi.},
title={Multivariate Interpolation at the Edge to Infer Faulty IoT Sensor Metrics},
booktitle={Proceedings of the 12th International Conference on Cloud Computing and Services Science - CLOSER},
year={2022},
pages={280-287},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011084100003200},
isbn={978-989-758-570-8},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Cloud Computing and Services Science - CLOSER
TI - Multivariate Interpolation at the Edge to Infer Faulty IoT Sensor Metrics
SN - 978-989-758-570-8
IS - 2184-5042
AU - Konzen, M.
AU - Izolan, P.
AU - Griesang, F.
AU - De Souza, P.
AU - Ferreto, T.
AU - Lorenzon, A.
AU - Luizelli, M.
AU - Balzano De Mattos, J.
AU - Ewerling Da Rosa, C.
AU - Rossi, F.
PY - 2022
SP - 280
EP - 287
DO - 10.5220/0011084100003200
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic