Szczegóły publikacji

Opis bibliograficzny

Acquisition, storing, and processing system for interdisciplinary research in earth sciences / Robert BRZOZA-WOCH, Tomasz PEŁECH-PILICHOWSKI, Agnieszka RUDNICKA, Jacek DAJDA, Ewa ADAMIEC, Elżbieta JAROSZ-KRZEMIŃSKA, Marek KISIEL-DOROHINICKI // W: Computational Science – ICCS 2022 : 22nd international conference : London, UK, June 21–23, 2022 : proceedings, Pt. 4 / eds. Derek Groen, [et al.]. — Cham : Springer Nature Switzerland, cop. 2022. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 13353). — ISBN: 978-3-031-08759-2; e-ISBN: 978-3-031-08760-8. — S. 422–435. — Bibliogr., Abstr. — Publikacja dostępna online od: 2022-06-15


Autorzy (7)


Słowa kluczowe

data acquisitiondata analysisInternet of Thingsprocessing and visualizationenvironment protection

Dane bibliometryczne

ID BaDAP140688
Data dodania do BaDAP2022-09-08
DOI10.1007/978-3-031-08760-8_36
Rok publikacji2022
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
WydawcaSpringer
Konferencja22nd International Conference on Computational Science
Czasopismo/seriaLecture Notes in Computer Science

Abstract

The article presents the results of research carried out as part of the interdisciplinary cooperation of scientists in the field of geochemistry and computer science. Such a model of cooperation is justified and especially purposeful in resolving various environment protection tasks, including the issues of energy transformation and climate change. The research regards air quality monitoring case study conducted in Ochotnica, South Poland. The environmental data have been collected, stored, and processed using a set of sensor stations as well as a data storing and processing service. The stations and the service are very flexible, easily extensible, and they have been successfully designed, implemented, and tested by the authors of this paper in the mentioned air quality monitoring case study. The collaboration in the conducted research has been an opportunity to create and test in practice a comprehensive, versatile and configurable data acquisition and processing system which supports not only this use case, but also can be applied to a wide variety of general data acquisition and data analysis purposes. In this paper we discuss the analysis of acquired environmental data as well as a general approach to environmental data processing and visualization system.

Publikacje, które mogą Cię zainteresować

fragment książki
Comparing explanations from glass-box and black-box machine-learning models / Michał KUK, Szymon Bobek, Grzegorz J. Nalepa // W: Computational Science – ICCS 2022 : 22nd international conference : London, UK, June 21–23, 2022 : proceedings, Pt. 3 / eds. Derek Groen, Clélia de Mulatier, Maciej Paszyński, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot. — Cham : Springer Nature Switzerland, cop. 2022. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 13352). — ISBN: 978-3-031-08756-1; e-ISBN: 978-3-031-08757-8. — S. 668–675. — Bibliogr., Abstr. — Publikacja dostępna online od: 2022-06-15
fragment książki
Linear computational cost implicit variational splitting solver with non-regular material data for parabolic problems / Paweł MACZUGA, Maciej PASZYŃSKI, Victor Calo // W: Computational Science – ICCS 2022 : 22nd international conference : London, UK, June 21–23, 2022 : proceedings, Pt. 2 / eds. Derek Groen, [et al.]. — Cham : Springer Nature Switzerland, cop. 2022. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 13351). — ISBN: 978-3-031-08753-0; e-ISBN: 978-3-031-08754-7. — S. 132–138. — Bibliogr., Abstr. — Publikacja dostępna online od: 2022-06-24