loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Jānis Grabis 1 ; Rūta-Pirta Dreimane 1 ; Brigita Dejus 2 ; Anatolijs Borodiņecs 2 and Rolands Zaharovs 3

Affiliations: 1 Information Technology, Riga Technical University, Zunda krastmala 10, Riga, Latvia ; 2 Faculty of Civil Engineering, Riga Technical University, Āzenes 6, Riga, Latvia ; 3 DTG, Ltd., Ganību dambis 24A, Riga, Latvia

Keyword(s): Predictive Sensing, Workplace Safety, Infectious Diseases, Wastewater Analysis, Organizational Data Integration.

Abstract: Interactions among employees at a workplace facilitate spread of infectious diseases. This paper proposes to integrate traditional IoT sensor data, wastewater analysis and data from organizational information systems for timely identification of threats and adjustment of work activities. The overall approach combining predictive, preventive and prescriptive capabilities is described as well as the overall technical solution is presented. The proposed approach allows tailoring of work activities depending on macro and micro monitoring results in a non-intrusive manner.

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 3.138.122.195

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:
Grabis, J.; Dreimane, R.; Dejus, B.; Borodiņecs, A. and Zaharovs, R. (2023). Triple Pi Sensing to Limit Spread of Infectious Diseases at Workplace. In Proceedings of the 12th International Conference on Sensor Networks - SENSORNETS; ISBN 978-989-758-635-4; ISSN 2184-4380, SciTePress, pages 87-92. DOI: 10.5220/0011747400003399

@conference{sensornets23,
author={Jānis Grabis. and Rūta{-}Pirta Dreimane. and Brigita Dejus. and Anatolijs Borodiņecs. and Rolands Zaharovs.},
title={Triple Pi Sensing to Limit Spread of Infectious Diseases at Workplace},
booktitle={Proceedings of the 12th International Conference on Sensor Networks - SENSORNETS},
year={2023},
pages={87-92},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011747400003399},
isbn={978-989-758-635-4},
issn={2184-4380},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Sensor Networks - SENSORNETS
TI - Triple Pi Sensing to Limit Spread of Infectious Diseases at Workplace
SN - 978-989-758-635-4
IS - 2184-4380
AU - Grabis, J.
AU - Dreimane, R.
AU - Dejus, B.
AU - Borodiņecs, A.
AU - Zaharovs, R.
PY - 2023
SP - 87
EP - 92
DO - 10.5220/0011747400003399
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