---
_id: '4448'
article_type: original
author:
- first_name: Nadine
full_name: Madeira Firmino, Nadine
id: '250837'
last_name: Madeira Firmino
- first_name: Jürgen
full_name: Bauknecht, Jürgen
last_name: Bauknecht
citation:
alphadin: 'Madeira Firmino, Nadine
; Bauknecht, Jürgen: Entwicklung,
Ausmaß und Determinanten der Arbeitszufriedenheit von Erzieherinnen und Erziehern.
In: Pädagogischer Blick, Nr. 1'
ama: Madeira Firmino N, Bauknecht J. Entwicklung, Ausmaß und Determinanten der Arbeitszufriedenheit
von Erzieherinnen und Erziehern. Pädagogischer Blick. (1).
apa: Madeira Firmino, N., & Bauknecht, J. (n.d.). Entwicklung, Ausmaß und Determinanten
der Arbeitszufriedenheit von Erzieherinnen und Erziehern. Pädagogischer Blick,
(1).
bibtex: '@article{Madeira Firmino_Bauknecht, title={Entwicklung, Ausmaß und Determinanten
der Arbeitszufriedenheit von Erzieherinnen und Erziehern.}, number={1}, journal={Pädagogischer
Blick}, author={Madeira Firmino, Nadine and Bauknecht, Jürgen} }'
chicago: Madeira Firmino, Nadine, and Jürgen Bauknecht. “Entwicklung, Ausmaß und
Determinanten der Arbeitszufriedenheit von Erzieherinnen und Erziehern.” Pädagogischer
Blick, no. 1 (n.d.).
ieee: N. Madeira Firmino and J. Bauknecht, “Entwicklung, Ausmaß und Determinanten
der Arbeitszufriedenheit von Erzieherinnen und Erziehern.,” Pädagogischer Blick,
no. 1.
mla: Madeira Firmino, Nadine, and Jürgen Bauknecht. “Entwicklung, Ausmaß und Determinanten
der Arbeitszufriedenheit von Erzieherinnen und Erziehern.” Pädagogischer Blick,
no. 1.
short: N. Madeira Firmino, J. Bauknecht, Pädagogischer Blick (n.d.).
date_created: 2024-03-28T15:18:40Z
date_updated: 2024-03-28T15:18:44Z
issue: '1'
language:
- iso: ger
publication: Pädagogischer Blick
publication_status: accepted
quality_controlled: '1'
status: public
title: Entwicklung, Ausmaß und Determinanten der Arbeitszufriedenheit von Erzieherinnen
und Erziehern.
type: journal_article
user_id: '250837'
year: '2024'
...
---
_id: '4444'
author:
- first_name: Fabian
full_name: Erichsmeier, Fabian
id: '218080'
last_name: Erichsmeier
- first_name: Maksim
full_name: Kukushkin, Maksim
last_name: Kukushkin
- first_name: Johannes
full_name: Fiedler, Johannes
last_name: Fiedler
- first_name: Matthias
full_name: Enders, Matthias
last_name: Enders
- first_name: Simon
full_name: Goertz, Simon
last_name: Goertz
- first_name: Martin
full_name: Bogdan, Martin
last_name: Bogdan
- first_name: Thomas
full_name: Schmid, Thomas
last_name: Schmid
- first_name: Reinhard
full_name: Kaschuba, Reinhard
last_name: Kaschuba
citation:
alphadin: 'Erichsmeier, Fabian ; Kukushkin, Maksim ; Fiedler,
Johannes ; Enders, Matthias
; Goertz, Simon ; Bogdan,
Martin ; Schmid, Thomas ;
Kaschuba, Reinhard: Automating the
purity analysis of oilseed rape through usage of hyperspectral imaging. In: Heinemann, D. ; Polder,
G. (Hrsg.): Photonic Technologies in Plant and Agricultural Science :
SPIE, 2024, S. 21'
ama: 'Erichsmeier F, Kukushkin M, Fiedler J, et al. Automating the purity analysis
of oilseed rape through usage of hyperspectral imaging. In: Heinemann D, Polder
G, eds. Photonic Technologies in Plant and Agricultural Science. SPIE;
2024:21. doi:10.1117/12.3002665'
apa: 'Erichsmeier, F., Kukushkin, M., Fiedler, J., Enders, M., Goertz, S., Bogdan,
M., … Kaschuba, R. (2024). Automating the purity analysis of oilseed rape through
usage of hyperspectral imaging. In D. Heinemann & G. Polder (Eds.), Photonic
Technologies in Plant and Agricultural Science (p. 21). San Francisco, United
States: SPIE. https://doi.org/10.1117/12.3002665'
bibtex: '@inproceedings{Erichsmeier_Kukushkin_Fiedler_Enders_Goertz_Bogdan_Schmid_Kaschuba_2024,
title={Automating the purity analysis of oilseed rape through usage of hyperspectral
imaging}, DOI={10.1117/12.3002665},
booktitle={Photonic Technologies in Plant and Agricultural Science}, publisher={SPIE},
author={Erichsmeier, Fabian and Kukushkin, Maksim and Fiedler, Johannes and Enders,
Matthias and Goertz, Simon and Bogdan, Martin and Schmid, Thomas and Kaschuba,
Reinhard}, editor={Heinemann, Dag and Polder, GerritEditors}, year={2024}, pages={21}
}'
chicago: Erichsmeier, Fabian, Maksim Kukushkin, Johannes Fiedler, Matthias Enders,
Simon Goertz, Martin Bogdan, Thomas Schmid, and Reinhard Kaschuba. “Automating
the Purity Analysis of Oilseed Rape through Usage of Hyperspectral Imaging.” In
Photonic Technologies in Plant and Agricultural Science, edited by Dag
Heinemann and Gerrit Polder, 21. SPIE, 2024. https://doi.org/10.1117/12.3002665.
ieee: F. Erichsmeier et al., “Automating the purity analysis of oilseed rape
through usage of hyperspectral imaging,” in Photonic Technologies in Plant
and Agricultural Science, San Francisco, United States, 2024, p. 21.
mla: Erichsmeier, Fabian, et al. “Automating the Purity Analysis of Oilseed Rape
through Usage of Hyperspectral Imaging.” Photonic Technologies in Plant and
Agricultural Science, edited by Dag Heinemann and Gerrit Polder, SPIE, 2024,
p. 21, doi:10.1117/12.3002665.
short: 'F. Erichsmeier, M. Kukushkin, J. Fiedler, M. Enders, S. Goertz, M. Bogdan,
T. Schmid, R. Kaschuba, in: D. Heinemann, G. Polder (Eds.), Photonic Technologies
in Plant and Agricultural Science, SPIE, 2024, p. 21.'
conference:
location: San Francisco, United States
name: SPIE LASE
date_created: 2024-03-28T08:24:33Z
date_updated: 2024-03-28T09:42:55Z
doi: 10.1117/12.3002665
editor:
- first_name: Dag
full_name: Heinemann, Dag
last_name: Heinemann
- first_name: Gerrit
full_name: Polder, Gerrit
last_name: Polder
language:
- iso: eng
page: '21'
publication: Photonic Technologies in Plant and Agricultural Science
publication_identifier:
eisbn:
- '9781510670198'
isbn:
- '9781510670181'
publication_status: published
publisher: SPIE
status: public
title: Automating the purity analysis of oilseed rape through usage of hyperspectral
imaging
type: conference
user_id: '218080'
year: '2024'
...
---
_id: '4400'
author:
- first_name: Grit
full_name: Behrens, Grit
id: '207629'
last_name: Behrens
orcid: 0009-0009-0247-8204
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0009-0247-8204/work/156454423
- first_name: Niklas
full_name: Theis, Niklas
last_name: Theis
- first_name: 'Andreas '
full_name: 'Boschert, Andreas '
last_name: Boschert
- first_name: Mike
full_name: Zehner, Mike
last_name: Zehner
citation:
alphadin: 'Behrens, Grit ; Theis,
Niklas ; Boschert, Andreas
; Zehner, Mike: Wolkensegementierung
und -matching mit Deep Learning in All Sky Images. In: Conexio-PSE
GmbH (Hrsg.): Tagungsunterlagen 39. PV-Symposium. Pforzheim, Deutschland,
2024'
ama: 'Behrens G, Theis N, Boschert A, Zehner M. Wolkensegementierung und -matching
mit Deep Learning in All Sky Images. In: Conexio-PSE GmbH, ed. Tagungsunterlagen
39. PV-Symposium. Pforzheim, Deutschland; 2024.'
apa: Behrens, G., Theis, N., Boschert, A., & Zehner, M. (2024). Wolkensegementierung
und -matching mit Deep Learning in All Sky Images. In Conexio-PSE GmbH (Ed.),
Tagungsunterlagen 39. PV-Symposium. Pforzheim, Deutschland.
bibtex: '@inproceedings{Behrens_Theis_Boschert_Zehner_2024, place={Pforzheim, Deutschland},
title={Wolkensegementierung und -matching mit Deep Learning in All Sky Images},
booktitle={Tagungsunterlagen 39. PV-Symposium}, author={Behrens, Grit and Theis,
Niklas and Boschert, Andreas and Zehner, Mike}, editor={Conexio-PSE GmbHEditor},
year={2024} }'
chicago: Behrens, Grit, Niklas Theis, Andreas Boschert, and Mike Zehner. “Wolkensegementierung
und -matching mit Deep Learning in All Sky Images.” In Tagungsunterlagen 39.
PV-Symposium, edited by Conexio-PSE GmbH. Pforzheim, Deutschland, 2024.
ieee: G. Behrens, N. Theis, A. Boschert, and M. Zehner, “Wolkensegementierung und
-matching mit Deep Learning in All Sky Images,” in Tagungsunterlagen 39. PV-Symposium,
Kloster Banz, Bad Staffelstein, 2024.
mla: Behrens, Grit, et al. “Wolkensegementierung und -matching mit Deep Learning
in All Sky Images.” Tagungsunterlagen 39. PV-Symposium, edited by Conexio-PSE
GmbH, 2024.
short: 'G. Behrens, N. Theis, A. Boschert, M. Zehner, in: Conexio-PSE GmbH (Ed.),
Tagungsunterlagen 39. PV-Symposium, Pforzheim, Deutschland, 2024.'
conference:
end_date: 2024-02-29
location: Kloster Banz, Bad Staffelstein
name: 39. PV-Symposium
start_date: 2024-02-27
corporate_editor:
- Conexio-PSE GmbH
date_created: 2024-03-18T18:54:49Z
date_updated: 2024-03-28T09:01:16Z
department:
- _id: '102'
language:
- iso: ger
place: Pforzheim, Deutschland
publication: Tagungsunterlagen 39. PV-Symposium
publication_identifier:
isbn:
- 978-3-948176-25-9
publication_status: published
status: public
title: Wolkensegementierung und -matching mit Deep Learning in All Sky Images
type: conference
user_id: '237837'
year: '2024'
...
---
_id: '4399'
author:
- first_name: Grit
full_name: Behrens, Grit
id: '207629'
last_name: Behrens
orcid: 0009-0009-0247-8204
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0009-0247-8204/work/156454420
- first_name: Dennis
full_name: Hepp, Dennis
last_name: Hepp
- first_name: 'Sebastian '
full_name: 'Hempelmann, Sebastian '
last_name: Hempelmann
- first_name: 'Werner '
full_name: 'Friedrich , Werner '
last_name: 'Friedrich '
citation:
alphadin: 'Behrens, Grit ; Hepp,
Dennis ; Hempelmann, Sebastian
; Friedrich , Werner : Anwendung
von Convolutional Neural Networks zur Schneeerkennung auf Photovoltaikflächen.
In: Conexio-PSE GmbH (Hrsg.): Tagungsunterlagen
39. PV-Symposium, 2024 Kloster Banz, Bad Staffelstein. Pforzheim, Deutschland,
2024'
ama: 'Behrens G, Hepp D, Hempelmann S, Friedrich W. Anwendung von Convolutional
Neural Networks zur Schneeerkennung auf Photovoltaikflächen. In: Conexio-PSE
GmbH, ed. Tagungsunterlagen 39. PV-Symposium, 2024 Kloster Banz, Bad Staffelstein.
Pforzheim, Deutschland; 2024.'
apa: Behrens, G., Hepp, D., Hempelmann, S., & Friedrich , W. (2024). Anwendung
von Convolutional Neural Networks zur Schneeerkennung auf Photovoltaikflächen.
In Conexio-PSE GmbH (Ed.), Tagungsunterlagen 39. PV-Symposium, 2024 Kloster
Banz, Bad Staffelstein. Pforzheim, Deutschland.
bibtex: '@inproceedings{Behrens_Hepp_Hempelmann_Friedrich _2024, place={Pforzheim,
Deutschland}, title={Anwendung von Convolutional Neural Networks zur Schneeerkennung
auf Photovoltaikflächen}, booktitle={Tagungsunterlagen 39. PV-Symposium, 2024
Kloster Banz, Bad Staffelstein}, author={Behrens, Grit and Hepp, Dennis and Hempelmann,
Sebastian and Friedrich , Werner }, editor={Conexio-PSE GmbHEditor}, year={2024}
}'
chicago: Behrens, Grit, Dennis Hepp, Sebastian Hempelmann, and Werner Friedrich
. “Anwendung von Convolutional Neural Networks zur Schneeerkennung auf Photovoltaikflächen.”
In Tagungsunterlagen 39. PV-Symposium, 2024 Kloster Banz, Bad Staffelstein,
edited by Conexio-PSE GmbH. Pforzheim, Deutschland, 2024.
ieee: G. Behrens, D. Hepp, S. Hempelmann, and W. Friedrich , “Anwendung von Convolutional
Neural Networks zur Schneeerkennung auf Photovoltaikflächen,” in Tagungsunterlagen
39. PV-Symposium, 2024 Kloster Banz, Bad Staffelstein, Kloster Banz, Bad Staffelstein,
2024.
mla: Behrens, Grit, et al. “Anwendung von Convolutional Neural Networks zur Schneeerkennung
auf Photovoltaikflächen.” Tagungsunterlagen 39. PV-Symposium, 2024 Kloster
Banz, Bad Staffelstein, edited by Conexio-PSE GmbH, 2024.
short: 'G. Behrens, D. Hepp, S. Hempelmann, W. Friedrich , in: Conexio-PSE GmbH
(Ed.), Tagungsunterlagen 39. PV-Symposium, 2024 Kloster Banz, Bad Staffelstein,
Pforzheim, Deutschland, 2024.'
conference:
end_date: 2024-02-29
location: Kloster Banz, Bad Staffelstein
name: Photovoltaisches Symposium
start_date: 2024-02-27
corporate_editor:
- Conexio-PSE GmbH
date_created: 2024-03-18T18:50:23Z
date_updated: 2024-03-28T09:01:10Z
language:
- iso: ger
place: Pforzheim, Deutschland
project:
- _id: A82B586E-C7DA-11E9-B0AE-1F4CB252D58D
name: Adaptive Ertragsprognose mit data-Mining im PV-Feld auf Grundlage iener digitalen
Signatur der PV-Module und der Systemkomponenten (PV digital 4.0)
publication: Tagungsunterlagen 39. PV-Symposium, 2024 Kloster Banz, Bad Staffelstein
publication_identifier:
isbn:
- 978-3-948176-25-9
publication_status: published
status: public
title: Anwendung von Convolutional Neural Networks zur Schneeerkennung auf Photovoltaikflächen
type: conference
user_id: '237837'
year: '2024'
...
---
_id: '4397'
author:
- first_name: Cezary
full_name: Orlowski, Cezary
last_name: Orlowski
- first_name: Grit
full_name: Behrens, Grit
id: '207629'
last_name: Behrens
orcid: 0009-0009-0247-8204
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0009-0247-8204/work/156454416
- first_name: Kostas
full_name: Karatzas, Kostas
last_name: Karatzas
citation:
alphadin: 'Orlowski, Cezary ; Behrens, Grit ; Karatzas,
Kostas: Commonalities and Differences in ML-Pipelines for Air Quality Systems.
In: Wohlgemuth, V. ; Kranzlmüller,
D. ; Höb, M. (Hrsg.): Advances
and New Trends in Environmental Informatics 2023. Sustainable Digital Society,
Progress in IS. Cham : Springer Nature Switzerland, 2024, S. 21–37'
ama: 'Orlowski C, Behrens G, Karatzas K. Commonalities and Differences in ML-Pipelines
for Air Quality Systems. In: Wohlgemuth V, Kranzlmüller D, Höb M, eds. Advances
and New Trends in Environmental Informatics 2023. Sustainable Digital Society.
Progress in IS. Cham: Springer Nature Switzerland; 2024:21-37. doi:10.1007/978-3-031-46902-2_2'
apa: 'Orlowski, C., Behrens, G., & Karatzas, K. (2024). Commonalities and Differences
in ML-Pipelines for Air Quality Systems. In V. Wohlgemuth, D. Kranzlmüller, &
M. Höb (Eds.), Advances and New Trends in Environmental Informatics 2023. Sustainable
Digital Society (pp. 21–37). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-46902-2_2'
bibtex: '@inbook{Orlowski_Behrens_Karatzas_2024, place={Cham}, series={Progress
in IS}, title={Commonalities and Differences in ML-Pipelines for Air Quality Systems},
DOI={10.1007/978-3-031-46902-2_2},
booktitle={Advances and New Trends in Environmental Informatics 2023. Sustainable
Digital Society}, publisher={Springer Nature Switzerland}, author={Orlowski, Cezary
and Behrens, Grit and Karatzas, Kostas}, editor={Wohlgemuth, Volker and Kranzlmüller,
Dieter and Höb, MaximilianEditors}, year={2024}, pages={21–37}, collection={Progress
in IS} }'
chicago: 'Orlowski, Cezary, Grit Behrens, and Kostas Karatzas. “Commonalities and
Differences in ML-Pipelines for Air Quality Systems.” In Advances and New Trends
in Environmental Informatics 2023. Sustainable Digital Society, edited by
Volker Wohlgemuth, Dieter Kranzlmüller, and Maximilian Höb, 21–37. Progress in
IS. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-46902-2_2.'
ieee: 'C. Orlowski, G. Behrens, and K. Karatzas, “Commonalities and Differences
in ML-Pipelines for Air Quality Systems,” in Advances and New Trends in Environmental
Informatics 2023. Sustainable Digital Society, V. Wohlgemuth, D. Kranzlmüller,
and M. Höb, Eds. Cham: Springer Nature Switzerland, 2024, pp. 21–37.'
mla: Orlowski, Cezary, et al. “Commonalities and Differences in ML-Pipelines for
Air Quality Systems.” Advances and New Trends in Environmental Informatics
2023. Sustainable Digital Society, edited by Volker Wohlgemuth et al., Springer
Nature Switzerland, 2024, pp. 21–37, doi:10.1007/978-3-031-46902-2_2.
short: 'C. Orlowski, G. Behrens, K. Karatzas, in: V. Wohlgemuth, D. Kranzlmüller,
M. Höb (Eds.), Advances and New Trends in Environmental Informatics 2023. Sustainable
Digital Society, Springer Nature Switzerland, Cham, 2024, pp. 21–37.'
date_created: 2024-03-18T17:55:57Z
date_updated: 2024-03-28T09:01:05Z
doi: 10.1007/978-3-031-46902-2_2
editor:
- first_name: Volker
full_name: Wohlgemuth, Volker
last_name: Wohlgemuth
- first_name: Dieter
full_name: Kranzlmüller, Dieter
last_name: Kranzlmüller
- first_name: Maximilian
full_name: Höb, Maximilian
last_name: Höb
language:
- iso: eng
page: 21-37
place: Cham
publication: Advances and New Trends in Environmental Informatics 2023. Sustainable
Digital Society
publication_identifier:
eisbn:
- 978-3-031-46902-2
eissn:
- 2196-8713
isbn:
- 978-3-031-46901-5
issn:
- 2196-8705
publication_status: published
publisher: Springer Nature Switzerland
quality_controlled: '1'
series_title: Progress in IS
status: public
title: Commonalities and Differences in ML-Pipelines for Air Quality Systems
type: book_chapter
user_id: '237837'
year: '2024'
...
---
_id: '4395'
author:
- first_name: Grit
full_name: Behrens, Grit
id: '207629'
last_name: Behrens
orcid: 0009-0009-0247-8204
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0009-0247-8204/work/156454414
- first_name: 'Kostans '
full_name: 'Karaztas, Kostans '
last_name: Karaztas
- first_name: 'Cezary '
full_name: 'Orlowski, Cezary '
last_name: Orlowski
citation:
alphadin: 'Behrens, Grit ; Karaztas,
Kostans ; Orlowski, Cezary :
Business Intelligence Fog IoT node development model for Big Data processing of
air quality in scientific partnerships. In: Bui,
T. X. ; ScholarSpace (Hrsg.):
57th Hawaii International Conference on System Sciences, {HICSS} 2024, Hilton
Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024, dblp
computer science bibliography, 2024, S. 288–297'
ama: 'Behrens G, Karaztas K, Orlowski C. Business Intelligence Fog IoT node development
model for Big Data processing of air quality in scientific partnerships. In: Bui
TX, ScholarSpace, eds. 57th Hawaii International Conference on System Sciences,
{HICSS} 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January
3-6, 2024. dblp computer science bibliography. ; 2024:288-297. doi:10125/106409'
apa: Behrens, G., Karaztas, K., & Orlowski, C. (2024). Business Intelligence
Fog IoT node development model for Big Data processing of air quality in scientific
partnerships. In T. X. Bui & ScholarSpace (Eds.), 57th Hawaii International
Conference on System Sciences, {HICSS} 2024, Hilton Hawaiian Village Waikiki Beach
Resort, Hawaii, USA, January 3-6, 2024 (pp. 288–297). Hilton Hawaiian Village
Waikiki Beach Resort, Hawaii, USA. https://doi.org/10125/106409
bibtex: '@inproceedings{Behrens_Karaztas_Orlowski_2024, series={dblp computer science
bibliography}, title={Business Intelligence Fog IoT node development model for
Big Data processing of air quality in scientific partnerships}, DOI={10125/106409},
booktitle={57th Hawaii International Conference on System Sciences, {HICSS} 2024,
Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024},
author={Behrens, Grit and Karaztas, Kostans and Orlowski, Cezary }, editor={Bui,
Tung X. and ScholarSpaceEditors}, year={2024}, pages={288–297}, collection={dblp
computer science bibliography} }'
chicago: Behrens, Grit, Kostans Karaztas, and Cezary Orlowski. “Business Intelligence
Fog IoT Node Development Model for Big Data Processing of Air Quality in Scientific
Partnerships.” In 57th Hawaii International Conference on System Sciences,
{HICSS} 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January
3-6, 2024, edited by Tung X. Bui and ScholarSpace, 288–97. Dblp Computer
Science Bibliography, 2024. https://doi.org/10125/106409.
ieee: G. Behrens, K. Karaztas, and C. Orlowski, “Business Intelligence Fog IoT node
development model for Big Data processing of air quality in scientific partnerships,”
in 57th Hawaii International Conference on System Sciences, {HICSS} 2024, Hilton
Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024, Hilton
Hawaiian Village Waikiki Beach Resort, Hawaii, USA, 2024, pp. 288–297.
mla: Behrens, Grit, et al. “Business Intelligence Fog IoT Node Development Model
for Big Data Processing of Air Quality in Scientific Partnerships.” 57th Hawaii
International Conference on System Sciences, {HICSS} 2024, Hilton Hawaiian Village
Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024, edited by Tung X. Bui
and ScholarSpace, 2024, pp. 288–97, doi:10125/106409.
short: 'G. Behrens, K. Karaztas, C. Orlowski, in: T.X. Bui, ScholarSpace (Eds.),
57th Hawaii International Conference on System Sciences, {HICSS} 2024, Hilton
Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024, 2024, pp.
288–297.'
conference:
end_date: 2024-01-06
location: Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA
name: 57th Hawaii International Conference on System Sciences
start_date: 2024-01-03
corporate_editor:
- ScholarSpace
date_created: 2024-03-18T17:25:30Z
date_updated: 2024-03-28T09:00:54Z
department:
- _id: '102'
doi: 10125/106409
editor:
- first_name: 'Tung X. '
full_name: 'Bui, Tung X. '
last_name: Bui
language:
- iso: eng
page: 288-297
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
name: Institute for Data Science Solutions
publication: 57th Hawaii International Conference on System Sciences, {HICSS} 2024,
Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024
publication_identifier:
isbn:
- 978-0-9981331-7-1
publication_status: published
series_title: dblp computer science bibliography
status: public
title: Business Intelligence Fog IoT node development model for Big Data processing
of air quality in scientific partnerships
type: conference
user_id: '237837'
year: '2024'
...
---
_id: '4392'
abstract:
- lang: eng
text: 'Current solutions for holistic and real-time planning of dynamic manufacturing
processes are reaching their limits. This is particularly applicable to complex
sociotechnical production environments with flexible material flows as well as
undetermined events and fluctuations. Methods of optimization under uncertainty
are very computationally intensive and crucial interactions with the real world
are insufficiently considered. This lack of field synchronicity reduces the quality
of production schedules, leads to manual efforts firefighting), and has a negative
impact on the logistical performance. The present work is based on four journal
articles that demonstrate novel methods and models for improving field-synchronous
scheduling. Through the combination of instruments from operations research and
machine learning, generic and predictive algorithms are developed to improve the
efficiency and effectiveness of planning procedures. The findings suggest that
regression models can replace computation-heavy stochastic simulations in obtaining
robustness metrics. Additionally, using reinforcement learning, uncertainty-robust
and realistic production schedules for human-centered manufacturing can be generated
in a short time. For this purpose, discrete simulation models are used, which
are data-driven initialized based on a general control logic. The algorithms can
be integrated into a virtual factory, which serves as a digital representation
of the real world and is the basis for smart and field-synchronous scheduling
systems. In this context, a prototype distributed system for the planning of dynamic
manufacturing processes can be presented, which is being tested by industry research
partners and further developed in collaboration. Beyond the publications, further
research needs can be derived. In order to ensure the transferability of the methods,
they need to be evaluated in the context of additional and more comprehensive
environments. From a scientific and practical perspective, it is a crucial challenge
to develop holistic and proactive scheduling systems that orchestrate a comprehensive
set of data-driven analysis and decision-making processes. In this regard, the
presented methods and models need to be further developed and integrated into
a generic overall concept. The work identifies four focus areas that future research
should address in an interdisciplinary manner: (1) Generic simulation models,
(2) Human-centered optimization, (3) Field-synchronous scheduling, and (4) System
development and rollout.'
author:
- first_name: Felix
full_name: Grumbach, Felix
id: '243801'
last_name: Grumbach
orcid: 0000-0001-6348-7897
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0001-6348-7897/work/156390666
citation:
alphadin: 'Grumbach, Felix: Feldsynchrone
Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens
[kumulative Dissertation]. Bernburg : Universitäts- und Landesbibliothek Sachsen-Anhalt,
2024'
ama: 'Grumbach F. Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse
mit Techniken des maschinellen Lernens [kumulative Dissertation]. Bernburg:
Universitäts- und Landesbibliothek Sachsen-Anhalt; 2024. doi:10.25673/115290'
apa: 'Grumbach, F. (2024). Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse
mit Techniken des maschinellen Lernens [kumulative Dissertation]. Bernburg:
Universitäts- und Landesbibliothek Sachsen-Anhalt. https://doi.org/10.25673/115290'
bibtex: '@book{Grumbach_2024, place={Bernburg}, title={Feldsynchrone Ablaufplanung
dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative
Dissertation]}, DOI={10.25673/115290},
publisher={Universitäts- und Landesbibliothek Sachsen-Anhalt}, author={Grumbach,
Felix}, year={2024} }'
chicago: 'Grumbach, Felix. Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse
mit Techniken des maschinellen Lernens [kumulative Dissertation]. Bernburg:
Universitäts- und Landesbibliothek Sachsen-Anhalt, 2024. https://doi.org/10.25673/115290.'
ieee: 'F. Grumbach, Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse
mit Techniken des maschinellen Lernens [kumulative Dissertation]. Bernburg:
Universitäts- und Landesbibliothek Sachsen-Anhalt, 2024.'
mla: Grumbach, Felix. Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse
mit Techniken des maschinellen Lernens [kumulative Dissertation]. Universitäts-
und Landesbibliothek Sachsen-Anhalt, 2024, doi:10.25673/115290.
short: F. Grumbach, Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit
Techniken des maschinellen Lernens [kumulative Dissertation], Universitäts- und
Landesbibliothek Sachsen-Anhalt, Bernburg, 2024.
date_created: 2024-03-14T11:32:15Z
date_updated: 2024-03-27T14:10:49Z
doi: 10.25673/115290
file:
- access_level: open_access
content_type: application/pdf
creator: fgrumbach1
date_created: 2024-03-14T11:32:13Z
date_updated: 2024-03-14T11:32:13Z
file_id: '4393'
file_name: Diss_FGrumbach_2024_Final.pdf
file_size: 7859995
relation: main_file
success: 1
file_date_updated: 2024-03-14T11:32:13Z
has_accepted_license: '1'
keyword:
- Produktionsplanung und -steuerung
- Operations Research
- Machine Learning
- Reinforcement Learning
language:
- iso: ger
main_file_link:
- open_access: '1'
url: http://dx.doi.org/10.25673/115290
oa: '1'
place: Bernburg
publication_identifier:
eisbn:
- 978-3-96057-174-2
publication_status: published
publisher: Universitäts- und Landesbibliothek Sachsen-Anhalt
status: public
supervisor:
- first_name: Sebastian
full_name: Trojahn, Sebastian
last_name: Trojahn
title: Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des
maschinellen Lernens [kumulative Dissertation]
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: dissertation
urn: urn:nbn:de:hbz:bi10-43927
user_id: '237837'
year: '2024'
...
---
_id: '4434'
author:
- first_name: Michael
full_name: Eisfeld, Michael
id: '231110'
last_name: Eisfeld
citation:
alphadin: 'Eisfeld, Michael: BIM
- Einstieg kompakt für Tragwerksplaner : Beuth'
ama: Eisfeld M. BIM - Einstieg kompakt für Tragwerksplaner. Beuth
apa: Eisfeld, M. (n.d.). BIM - Einstieg kompakt für Tragwerksplaner. Beuth.
bibtex: '@book{Eisfeld, title={BIM - Einstieg kompakt für Tragwerksplaner}, publisher={Beuth},
author={Eisfeld, Michael} }'
chicago: Eisfeld, Michael. BIM - Einstieg kompakt für Tragwerksplaner. Beuth,
n.d.
ieee: M. Eisfeld, BIM - Einstieg kompakt für Tragwerksplaner. Beuth.
mla: Eisfeld, Michael. BIM - Einstieg kompakt für Tragwerksplaner. Beuth.
short: M. Eisfeld, BIM - Einstieg kompakt für Tragwerksplaner, Beuth, n.d.
date_created: 2024-03-27T09:42:53Z
date_updated: 2024-03-27T10:34:32Z
language:
- iso: ger
publication_status: submitted
publisher: Beuth
status: public
title: BIM - Einstieg kompakt für Tragwerksplaner
type: book
user_id: '231110'
year: '2024'
...
---
_id: '4403'
author:
- first_name: K.
full_name: Hamilton, K.
last_name: Hamilton
- first_name: D. J.
full_name: Phipps, D. J.
last_name: Phipps
- first_name: P.
full_name: Schmidt, P.
last_name: Schmidt
- first_name: Sebastian
full_name: Bamberg, Sebastian
id: '202383'
last_name: Bamberg
orcid: 0000-0003-1541-9616
- first_name: I.
full_name: Ajzen, I.
last_name: Ajzen
citation:
alphadin: 'Hamilton, K. ; Phipps,
D. J. ; Schmidt, P. ; Bamberg, Sebastian ; Ajzen,
I.: First test of the theory of reasoned goal pursuit: predicting physical
activity. In: Psychology & Health Bd. 39, Informa UK Limited (2024),
Nr. 1, S. 24–41'
ama: 'Hamilton K, Phipps DJ, Schmidt P, Bamberg S, Ajzen I. First test of the theory
of reasoned goal pursuit: predicting physical activity. Psychology & Health.
2024;39(1):24-41. doi:10.1080/08870446.2022.2026946'
apa: 'Hamilton, K., Phipps, D. J., Schmidt, P., Bamberg, S., & Ajzen, I. (2024).
First test of the theory of reasoned goal pursuit: predicting physical activity.
Psychology & Health, 39(1), 24–41. https://doi.org/10.1080/08870446.2022.2026946'
bibtex: '@article{Hamilton_Phipps_Schmidt_Bamberg_Ajzen_2024, title={First test
of the theory of reasoned goal pursuit: predicting physical activity}, volume={39},
DOI={10.1080/08870446.2022.2026946},
number={1}, journal={Psychology & Health}, publisher={Informa UK Limited},
author={Hamilton, K. and Phipps, D. J. and Schmidt, P. and Bamberg, Sebastian
and Ajzen, I.}, year={2024}, pages={24–41} }'
chicago: 'Hamilton, K., D. J. Phipps, P. Schmidt, Sebastian Bamberg, and I. Ajzen.
“First Test of the Theory of Reasoned Goal Pursuit: Predicting Physical Activity.”
Psychology & Health 39, no. 1 (2024): 24–41. https://doi.org/10.1080/08870446.2022.2026946.'
ieee: 'K. Hamilton, D. J. Phipps, P. Schmidt, S. Bamberg, and I. Ajzen, “First test
of the theory of reasoned goal pursuit: predicting physical activity,” Psychology
& Health, vol. 39, no. 1, pp. 24–41, 2024.'
mla: 'Hamilton, K., et al. “First Test of the Theory of Reasoned Goal Pursuit: Predicting
Physical Activity.” Psychology & Health, vol. 39, no. 1, Informa UK
Limited, 2024, pp. 24–41, doi:10.1080/08870446.2022.2026946.'
short: K. Hamilton, D.J. Phipps, P. Schmidt, S. Bamberg, I. Ajzen, Psychology &
Health 39 (2024) 24–41.
date_created: 2024-03-21T17:55:11Z
date_updated: 2024-03-23T11:58:00Z
doi: 10.1080/08870446.2022.2026946
intvolume: ' 39'
issue: '1'
language:
- iso: eng
page: 24-41
publication: Psychology & Health
publication_identifier:
eissn:
- 1476-8321
issn:
- 0887-0446
publication_status: published
publisher: Informa UK Limited
status: public
title: 'First test of the theory of reasoned goal pursuit: predicting physical activity'
type: journal_article
user_id: '220548'
volume: 39
year: '2024'
...
---
_id: '4391'
author:
- first_name: Fabian
full_name: Karau, Fabian
id: '224537'
last_name: Karau
orcid: 0009-0007-8379-7623
- first_name: Michael
full_name: Leuer, Michael
id: '230164'
last_name: Leuer
citation:
alphadin: 'Karau, Fabian ; Leuer,
Michael: Recheneffiziente Implementierung einer approximierten modellprädiktiven
Regelung auf einem Industrie-PC. In: Fit für die Zukunft: Praktische Lösungen
für die industrielle Automation : Hochschule für Technik, Wirtschaft und Kultur
Leipzig, 2024'
ama: 'Karau F, Leuer M. Recheneffiziente Implementierung einer approximierten modellprädiktiven
Regelung auf einem Industrie-PC. In: Fit Für Die Zukunft: Praktische Lösungen
Für Die Industrielle Automation. Hochschule für Technik, Wirtschaft und Kultur
Leipzig; 2024. doi:10.33968/2024.32'
apa: 'Karau, F., & Leuer, M. (2024). Recheneffiziente Implementierung einer
approximierten modellprädiktiven Regelung auf einem Industrie-PC. In Fit für
die Zukunft: Praktische Lösungen für die industrielle Automation. Bielefeld:
Hochschule für Technik, Wirtschaft und Kultur Leipzig. https://doi.org/10.33968/2024.32'
bibtex: '@inproceedings{Karau_Leuer_2024, title={Recheneffiziente Implementierung
einer approximierten modellprädiktiven Regelung auf einem Industrie-PC}, DOI={10.33968/2024.32}, booktitle={Fit
für die Zukunft: Praktische Lösungen für die industrielle Automation}, publisher={Hochschule
für Technik, Wirtschaft und Kultur Leipzig}, author={Karau, Fabian and Leuer,
Michael}, year={2024} }'
chicago: 'Karau, Fabian, and Michael Leuer. “Recheneffiziente Implementierung Einer
Approximierten Modellprädiktiven Regelung Auf Einem Industrie-PC.” In Fit Für
Die Zukunft: Praktische Lösungen Für Die Industrielle Automation. Hochschule
für Technik, Wirtschaft und Kultur Leipzig, 2024. https://doi.org/10.33968/2024.32.'
ieee: 'F. Karau and M. Leuer, “Recheneffiziente Implementierung einer approximierten
modellprädiktiven Regelung auf einem Industrie-PC,” in Fit für die Zukunft:
Praktische Lösungen für die industrielle Automation, Bielefeld, 2024.'
mla: 'Karau, Fabian, and Michael Leuer. “Recheneffiziente Implementierung Einer
Approximierten Modellprädiktiven Regelung Auf Einem Industrie-PC.” Fit Für
Die Zukunft: Praktische Lösungen Für Die Industrielle Automation, Hochschule
für Technik, Wirtschaft und Kultur Leipzig, 2024, doi:10.33968/2024.32.'
short: 'F. Karau, M. Leuer, in: Fit Für Die Zukunft: Praktische Lösungen Für Die
Industrielle Automation, Hochschule für Technik, Wirtschaft und Kultur Leipzig,
2024.'
conference:
end_date: 2024-03-08
location: Bielefeld
name: Angewandte Automatisierung in Lehre und Entwicklung 2024
start_date: 2024-03-06
date_created: 2024-03-14T06:58:36Z
date_updated: 2024-03-15T05:54:35Z
department:
- _id: '103'
doi: 10.33968/2024.32
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
publication: 'Fit für die Zukunft: Praktische Lösungen für die industrielle Automation'
publication_identifier:
isbn:
- '9783910103023'
publication_status: published
publisher: Hochschule für Technik, Wirtschaft und Kultur Leipzig
quality_controlled: '1'
status: public
title: Recheneffiziente Implementierung einer approximierten modellprädiktiven Regelung
auf einem Industrie-PC
type: conference
user_id: '220548'
year: '2024'
...