---
_id: '13120'
abstract:
- lang: eng
text: 'This paper introduces an approach that leverages large language models (LLMs)
to convert detailed descriptions of an Operational Design Domain (ODD) into realistic,
executable simulation scenarios for testing autonomous vehicles. The method combines
model-based and data-driven techniques to decompose ODDs into three key components:
environmental, scenery, and dynamic elements. It then applies prompt engineering
to generate ScenarioRunner scripts compatible with CARLA. The model-based component
guides the LLM using structured prompts and a “Tree of Thoughts” strategy to outline
the scenario, while a data-driven refinement process, drawing inspiration from
red teaming, enhances the accuracy and robustness of the generated scripts over
time. Experimental results show that while static components, such as weather
and road layouts, are well captured, dynamic elements like vehicle and pedestrian
behavior require further refinement. Overall, this approach not only reduces the
manual effort involved in creating simulation scenarios but also identifies key
challenges and opportunities for advancing safer and more adaptive autonomous
driving systems.'
author:
- first_name: Aaron Agyapong
full_name: Danso, Aaron Agyapong
id: '84400'
last_name: Danso
- first_name: Ulrich
full_name: Büker, Ulrich
id: '81453'
last_name: Büker
orcid: 0000-0002-4403-3889
citation:
ama: Danso AA, Büker U. Automated Generation of Test Scenarios for Autonomous Driving
Using LLMs. Electronics. 2025;14(16):3177. doi:10.3390/electronics14163177
apa: Danso, A. A., & Büker, U. (2025). Automated Generation of Test Scenarios
for Autonomous Driving Using LLMs. Electronics, 14(16), 3177. https://doi.org/10.3390/electronics14163177
bjps: Danso AA and Büker U (2025) Automated Generation of Test Scenarios
for Autonomous Driving Using LLMs. Electronics 14, 3177.
chicago: 'Danso, Aaron Agyapong, and Ulrich Büker. “Automated Generation of Test
Scenarios for Autonomous Driving Using LLMs.” Electronics 14, no. 16 (2025):
3177. https://doi.org/10.3390/electronics14163177.'
chicago-de: 'Danso, Aaron Agyapong und Ulrich Büker. 2025. Automated Generation
of Test Scenarios for Autonomous Driving Using LLMs. Electronics 14, Nr.
16: 3177. doi:10.3390/electronics14163177,
.'
din1505-2-1: 'Danso, Aaron Agyapong
; Büker, Ulrich: Automated Generation
of Test Scenarios for Autonomous Driving Using LLMs. In: Electronics Bd.
14. Basel, MDPI (2025), Nr. 16, S. 3177'
havard: A.A. Danso, U. Büker, Automated Generation of Test Scenarios for Autonomous
Driving Using LLMs, Electronics. 14 (2025) 3177.
ieee: 'A. A. Danso and U. Büker, “Automated Generation of Test Scenarios for Autonomous
Driving Using LLMs,” Electronics, vol. 14, no. 16, p. 3177, 2025, doi:
10.3390/electronics14163177.'
mla: Danso, Aaron Agyapong, and Ulrich Büker. “Automated Generation of Test Scenarios
for Autonomous Driving Using LLMs.” Electronics, vol. 14, no. 16, 2025,
p. 3177, https://doi.org/10.3390/electronics14163177.
short: A.A. Danso, U. Büker, Electronics 14 (2025) 3177.
ufg: 'Danso, Aaron Agyapong/Büker, Ulrich: Automated Generation of Test Scenarios
for Autonomous Driving Using LLMs, in: Electronics 14 (2025), H. 16, S.
3177.'
van: Danso AA, Büker U. Automated Generation of Test Scenarios for Autonomous Driving
Using LLMs. Electronics. 2025;14(16):3177.
date_created: 2025-08-11T15:38:12Z
date_updated: 2025-08-12T07:38:15Z
department:
- _id: DEP5023
- _id: DEP5000
doi: 10.3390/electronics14163177
intvolume: ' 14'
issue: '16'
keyword:
- large language models
- generation
- Operational Design Domain
- autonomous vehicles
- simulation
- CARLA
- ScenarioRunner
- prompt-engineering
- fine-tuning
language:
- iso: eng
page: '3177'
place: Basel
publication: Electronics
publication_identifier:
eissn:
- '2079-9292 '
publication_status: published
publisher: MDPI
quality_controlled: '1'
status: public
title: Automated Generation of Test Scenarios for Autonomous Driving Using LLMs
type: scientific_journal_article
user_id: '83781'
volume: 14
year: '2025'
...
---
_id: '13529'
abstract:
- lang: eng
text: The proliferation of misinformation is one of the most pressing challenges
in today’s digital landscape, due to its far-reaching implications for public
health, economic stability, trust in governmental institutions, and societal cohesion.
Despite efforts to regulate online platforms and limit the spread of misinformation,
many individuals are left behind because of their low digital literacy, level
of education, and other contributing factors. In this context, we explore the
use of Large Language Models (LLMs) to identify misinformation and we evaluate
the capabilities of GPT-4.1-mini, as a representative example of these models.
We then discuss how LLMs can help empower users to critically create and share
information, thereby fostering more resilient online communities. We also present
a set of possible interaction patterns for content creation and moderation.
author:
- first_name: Mirko
full_name: Franco, Mirko
last_name: Franco
- first_name: Valentin
full_name: Grimm, Valentin
id: '74000'
last_name: Grimm
- first_name: Eelco
full_name: Herder, Eelco
last_name: Herder
citation:
ama: Franco M, Grimm V, Herder E. Preventing Accidental Sharing of Misinformation
Using Large Language Models. (Marquez-Barja J, Bujari A, Slamnik-Kriještorac
N, Sabbioni A, Association for Computing Machinery, eds.). ACM; 2025:244-252.
doi:10.1145/3748699.3749798
apa: Franco, M., Grimm, V., & Herder, E. (2025). Preventing Accidental Sharing
of Misinformation Using Large Language Models. In J. Marquez-Barja, A. Bujari,
N. Slamnik-Kriještorac, A. Sabbioni, & Association for Computing Machinery
(Eds.), Proceedings of the 2025 International Conference on Information Technology
for Social Good (pp. 244–252). ACM. https://doi.org/10.1145/3748699.3749798
bjps: 'Franco M, Grimm V and Herder E (2025) Preventing Accidental Sharing
of Misinformation Using Large Language Models, Marquez-Barja J et al. (eds).
New York, NY, USA: ACM.'
chicago: 'Franco, Mirko, Valentin Grimm, and Eelco Herder. Preventing Accidental
Sharing of Misinformation Using Large Language Models. Edited by Johann Marquez-Barja,
Armir Bujari, Nina Slamnik-Kriještorac, Andrea Sabbioni, and Association for Computing
Machinery. Proceedings of the 2025 International Conference on Information
Technology for Social Good. New York, NY, USA: ACM, 2025. https://doi.org/10.1145/3748699.3749798.'
chicago-de: 'Franco, Mirko, Valentin Grimm und Eelco Herder. 2025. Preventing
Accidental Sharing of Misinformation Using Large Language Models. Hg. von
Johann Marquez-Barja, Armir Bujari, Nina Slamnik-Kriještorac, Andrea Sabbioni,
und Association for Computing Machinery. Proceedings of the 2025 International
Conference on Information Technology for Social Good. New York, NY, USA: ACM.
doi:10.1145/3748699.3749798,
.'
din1505-2-1: 'Franco, Mirko ; Grimm, Valentin ; Herder,
Eelco ; Marquez-Barja, J.
; Bujari, A. ; Slamnik-Kriještorac,
N. ; Sabbioni, A. ; Association for Computing Machinery (Hrsg.):
Preventing Accidental Sharing of Misinformation Using Large Language Models.
New York, NY, USA : ACM, 2025'
havard: M. Franco, V. Grimm, E. Herder, Preventing Accidental Sharing of Misinformation
Using Large Language Models, ACM, New York, NY, USA, 2025.
ieee: 'M. Franco, V. Grimm, and E. Herder, Preventing Accidental Sharing of Misinformation
Using Large Language Models. New York, NY, USA: ACM, 2025, pp. 244–252. doi:
10.1145/3748699.3749798.'
mla: Franco, Mirko, et al. “Preventing Accidental Sharing of Misinformation Using
Large Language Models.” Proceedings of the 2025 International Conference on
Information Technology for Social Good, edited by Johann Marquez-Barja et
al., ACM, 2025, pp. 244–52, https://doi.org/10.1145/3748699.3749798.
short: M. Franco, V. Grimm, E. Herder, Preventing Accidental Sharing of Misinformation
Using Large Language Models, ACM, New York, NY, USA, 2025.
ufg: 'Franco, Mirko/Grimm, Valentin/Herder, Eelco: Preventing Accidental
Sharing of Misinformation Using Large Language Models, hg. von Marquez-Barja,
Johann u. a., New York, NY, USA 2025.'
van: 'Franco M, Grimm V, Herder E. Preventing Accidental Sharing of Misinformation
Using Large Language Models. Marquez-Barja J, Bujari A, Slamnik-Kriještorac N,
Sabbioni A, Association for Computing Machinery, editors. Proceedings of the 2025
International Conference on Information Technology for Social Good. New York,
NY, USA: ACM; 2025.'
conference:
end_date: 2025-09-05
location: Antwerp, Belgium
name: GoodIT '25
start_date: 2025-09-03
corporate_editor:
- Association for Computing Machinery
date_created: 2026-03-20T12:55:35Z
date_updated: 2026-03-24T10:01:35Z
department:
- _id: DEP8008
doi: 10.1145/3748699.3749798
editor:
- first_name: Johann
full_name: Marquez-Barja, Johann
last_name: Marquez-Barja
- first_name: Armir
full_name: Bujari, Armir
last_name: Bujari
- first_name: Nina
full_name: Slamnik-Kriještorac, Nina
last_name: Slamnik-Kriještorac
- first_name: Andrea
full_name: Sabbioni, Andrea
last_name: Sabbioni
keyword:
- misinformation
- fake news
- large language models
- online social networks
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://dl.acm.org/doi/full/10.1145/3748699.3749798
oa: '1'
page: 244 - 252
place: New York, NY, USA
publication: Proceedings of the 2025 International Conference on Information Technology
for Social Good
publication_identifier:
isbn:
- 979-8-4007-2089-5
publication_status: published
publisher: ACM
quality_controlled: '1'
status: public
title: Preventing Accidental Sharing of Misinformation Using Large Language Models
type: conference_editor_article
user_id: '83781'
year: '2025'
...
---
_id: '12048'
abstract:
- lang: eng
text: Interactive stories can be an effective approach for teaching purposes. One
shortcoming is the effort necessary to author and create these stories, especially
complex storylines with choices for the readers. Based on recent advances in Natural
Language Processing (NLP), new opportunities arise for assistance systems in the
context of interactive stories. In our work, we present an authoring approach
and prototypical tool for the creation of visual comic-strip like interactive
stories, a type of hypercomics, that integrate an Artificial Intelligence (AI)
assistance. Such comics are already used in our Gekonnt hanDeln web platform.
The AI assistance provides suggestions for the overall story outline as well as
how to design and write individual story frames. We provide a detailed description
about the approach and its prototypical implementation. Furthermore, we present
a study evaluating the prototype with student groups and how the prototype evolved
in an iterative style based on the students’ feedback.
author:
- first_name: Valentin
full_name: Grimm, Valentin
id: '74000'
last_name: Grimm
- first_name: Jessica
full_name: Rubart, Jessica
id: '45672'
last_name: Rubart
citation:
ama: Grimm V, Rubart J. Authoring Educational Hypercomics Assisted by Large Language
Models. Association for Computing Machinery (ACM); 2024:88-97. doi:10.1145/3648188.3675124
apa: 'Grimm, V., & Rubart, J. (2024). Authoring Educational Hypercomics assisted
by Large Language Models. In HT ’24: Proceedings of the 35th ACM Conference
on Hypertext and Social Media (pp. 88–97). Association for Computing Machinery
(ACM). https://doi.org/10.1145/3648188.3675124'
bjps: 'Grimm V and Rubart J (2024) Authoring Educational Hypercomics Assisted
by Large Language Models. New York, USA: Association for Computing Machinery
(ACM).'
chicago: 'Grimm, Valentin, and Jessica Rubart. Authoring Educational Hypercomics
Assisted by Large Language Models. HT ’24: Proceedings of the 35th ACM
Conference on Hypertext and Social Media. New York, USA: Association for Computing
Machinery (ACM), 2024. https://doi.org/10.1145/3648188.3675124.'
chicago-de: 'Grimm, Valentin und Jessica Rubart. 2024. Authoring Educational
Hypercomics assisted by Large Language Models. HT ’24: Proceedings of the
35th ACM Conference on Hypertext and Social Media. New York, USA: Association
for Computing Machinery (ACM). doi:10.1145/3648188.3675124,
.'
din1505-2-1: 'Grimm, Valentin ; Rubart, Jessica: Authoring Educational
Hypercomics assisted by Large Language Models. New York, USA : Association
for Computing Machinery (ACM), 2024'
havard: V. Grimm, J. Rubart, Authoring Educational Hypercomics assisted by Large
Language Models, Association for Computing Machinery (ACM), New York, USA, 2024.
ieee: 'V. Grimm and J. Rubart, Authoring Educational Hypercomics assisted by
Large Language Models. New York, USA: Association for Computing Machinery
(ACM), 2024, pp. 88–97. doi: 10.1145/3648188.3675124.'
mla: 'Grimm, Valentin, and Jessica Rubart. “Authoring Educational Hypercomics Assisted
by Large Language Models.” HT ’24: Proceedings of the 35th ACM Conference on
Hypertext and Social Media, Association for Computing Machinery (ACM), 2024,
pp. 88–97, https://doi.org/10.1145/3648188.3675124.'
short: V. Grimm, J. Rubart, Authoring Educational Hypercomics Assisted by Large
Language Models, Association for Computing Machinery (ACM), New York, USA, 2024.
ufg: 'Grimm, Valentin/Rubart, Jessica: Authoring Educational Hypercomics
assisted by Large Language Models, New York, USA 2024.'
van: 'Grimm V, Rubart J. Authoring Educational Hypercomics assisted by Large Language
Models. HT ’24: Proceedings of the 35th ACM Conference on Hypertext and Social
Media. New York, USA: Association for Computing Machinery (ACM); 2024.'
conference:
end_date: 2024-09-13
location: Poznan, Poland
name: 35th ACM Conference on Hypertext and Social Media
start_date: 2024-09-10
date_created: 2024-11-22T12:25:29Z
date_updated: 2025-06-25T13:06:37Z
department:
- _id: DEP8008
- _id: DEP8008
doi: 10.1145/3648188.3675124
keyword:
- Storytelling
- Authoring
- GPT
- Hypercomics
- Large Language Models
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://dl.acm.org/doi/10.1145/3648188.3675124
oa: '1'
page: 88-97
place: New York, USA
publication: 'HT ''24: Proceedings of the 35th ACM Conference on Hypertext and Social
Media'
publication_identifier:
isbn:
- '979-8-4007-0595-3 '
publication_status: published
publisher: Association for Computing Machinery (ACM)
quality_controlled: '1'
status: public
title: Authoring Educational Hypercomics assisted by Large Language Models
type: conference_editor_article
user_id: '83781'
year: '2024'
...
---
_id: '12209'
abstract:
- lang: eng
text: 'Net ecosystem production (NEP) is an important indicator of lake ecosystem
function and integrity. An earlier study, restricted to one geographical region,
indicated that oxygen saturation levels (DO%) might be used to predict daily NEP
in shallow lakes. To test the generality of the method, we used DO% data collected
in a standardised pan-European mesocosm experiment with contrasting trophic states
and water levels covering a large climate gradient (from Sweden to Turkey). We
corroborated these data with process-based DO simulations. The NEP ~ DO% relation
depended on factors influencing gas transfer: water depth and wind. The NEP ~ DO%
relation per volume became weaker with increasing depth (1–2 m) but was independent
of depth when area based. Simulations indicated that the marginalisation of the
depth was sensitive to wind conditions. Trophic status, temperature and light
showed no or only marginal (climate zone) effects (experimental data), while the
simulations indicated influence of those factors under particular wind–depth conditions.
We confirmed that when considering also wind and depth effects, midday DO% potentially
provides reliable estimates of daily NEP. Therefore, historical monitoring data
of DO% might be used to estimate NEP, and process-based oxygen models may be valuable
tool therein. We encourage further tests.'
author:
- first_name: Yu
full_name: Cao, Yu
last_name: Cao
- first_name: Ulrike
full_name: Scharfenberger, Ulrike
last_name: Scharfenberger
- first_name: Tom
full_name: Shatwell, Tom
id: '86424'
last_name: Shatwell
orcid: 0000-0002-4520-7916
- first_name: Rita
full_name: Adrian, Rita
last_name: Adrian
- first_name: Helen
full_name: Agasild, Helen
last_name: Agasild
- first_name: David G.
full_name: Angeler, David G.
last_name: Angeler
- first_name: Meryem
full_name: Beklioğlu, Meryem
last_name: Beklioğlu
- first_name: Ayşe ldil
full_name: Çakıroğlu, Ayşe ldil
last_name: Çakıroğlu
- first_name: Josef
full_name: Hejzlar, Josef
last_name: Hejzlar
- first_name: Eva
full_name: Papastergiadou, Eva
last_name: Papastergiadou
- first_name: Michal
full_name: Šorf, Michal
last_name: Šorf
- first_name: Kostas
full_name: Stefanidis, Kostas
last_name: Stefanidis
- first_name: Martin
full_name: Søndergaard, Martin
last_name: Søndergaard
- first_name: Priit
full_name: Zingel, Priit
last_name: Zingel
- first_name: Erik
full_name: Jeppesen, Erik
last_name: Jeppesen
citation:
ama: 'Cao Y, Scharfenberger U, Shatwell T, et al. Predicting daily net ecosystem
production in shallow lakes from dissolved oxygen saturation levels: a pan-European
mesocosm experiment and modelling approach. Hydrobiologia : acta hydrobiologica,
hydrographica, limnologica et protistologica . 2024;852(2):471-487. doi:10.1007/s10750-024-05714-z'
apa: 'Cao, Y., Scharfenberger, U., Shatwell, T., Adrian, R., Agasild, H., Angeler,
D. G., Beklioğlu, M., Çakıroğlu, A. ldil, Hejzlar, J., Papastergiadou, E., Šorf,
M., Stefanidis, K., Søndergaard, M., Zingel, P., & Jeppesen, E. (2024). Predicting
daily net ecosystem production in shallow lakes from dissolved oxygen saturation
levels: a pan-European mesocosm experiment and modelling approach. Hydrobiologia :
Acta Hydrobiologica, Hydrographica, Limnologica et Protistologica , 852(2),
471–487. https://doi.org/10.1007/s10750-024-05714-z'
bjps: 'Cao Y et al. (2024) Predicting Daily Net Ecosystem Production
in Shallow Lakes from Dissolved Oxygen Saturation Levels: A Pan-European Mesocosm
Experiment and Modelling Approach. Hydrobiologia : acta hydrobiologica, hydrographica,
limnologica et protistologica 852, 471–487.'
chicago: 'Cao, Yu, Ulrike Scharfenberger, Tom Shatwell, Rita Adrian, Helen Agasild,
David G. Angeler, Meryem Beklioğlu, et al. “Predicting Daily Net Ecosystem Production
in Shallow Lakes from Dissolved Oxygen Saturation Levels: A Pan-European Mesocosm
Experiment and Modelling Approach.” Hydrobiologia : Acta Hydrobiologica, Hydrographica,
Limnologica et Protistologica 852, no. 2 (2024): 471–87. https://doi.org/10.1007/s10750-024-05714-z.'
chicago-de: 'Cao, Yu, Ulrike Scharfenberger, Tom Shatwell, Rita Adrian, Helen Agasild,
David G. Angeler, Meryem Beklioğlu, u. a. 2024. Predicting daily net ecosystem
production in shallow lakes from dissolved oxygen saturation levels: a pan-European
mesocosm experiment and modelling approach. Hydrobiologia : acta hydrobiologica,
hydrographica, limnologica et protistologica 852, Nr. 2: 471–487. doi:10.1007/s10750-024-05714-z,
.'
din1505-2-1: 'Cao,
Yu ; Scharfenberger, Ulrike
; Shatwell, Tom ; Adrian,
Rita ; Agasild, Helen ; Angeler, David G. ; Beklioğlu,
Meryem ; Çakıroğlu, Ayşe ldil
; u. a.: Predicting daily net ecosystem production in shallow lakes from
dissolved oxygen saturation levels: a pan-European mesocosm experiment and modelling
approach. In: Hydrobiologia : acta hydrobiologica, hydrographica, limnologica
et protistologica Bd. 852. Dordrecht [u.a.], Springer (2024), Nr. 2, S. 471–487'
havard: 'Y. Cao, U. Scharfenberger, T. Shatwell, R. Adrian, H. Agasild, D.G. Angeler,
M. Beklioğlu, A. ldil Çakıroğlu, J. Hejzlar, E. Papastergiadou, M. Šorf, K. Stefanidis,
M. Søndergaard, P. Zingel, E. Jeppesen, Predicting daily net ecosystem production
in shallow lakes from dissolved oxygen saturation levels: a pan-European mesocosm
experiment and modelling approach, Hydrobiologia : Acta Hydrobiologica, Hydrographica,
Limnologica et Protistologica . 852 (2024) 471–487.'
ieee: 'Y. Cao et al., “Predicting daily net ecosystem production in shallow
lakes from dissolved oxygen saturation levels: a pan-European mesocosm experiment
and modelling approach,” Hydrobiologia : acta hydrobiologica, hydrographica,
limnologica et protistologica , vol. 852, no. 2, pp. 471–487, 2024, doi: 10.1007/s10750-024-05714-z.'
mla: 'Cao, Yu, et al. “Predicting Daily Net Ecosystem Production in Shallow Lakes
from Dissolved Oxygen Saturation Levels: A Pan-European Mesocosm Experiment and
Modelling Approach.” Hydrobiologia : Acta Hydrobiologica, Hydrographica, Limnologica
et Protistologica , vol. 852, no. 2, 2024, pp. 471–87, https://doi.org/10.1007/s10750-024-05714-z.'
short: 'Y. Cao, U. Scharfenberger, T. Shatwell, R. Adrian, H. Agasild, D.G. Angeler,
M. Beklioğlu, A. ldil Çakıroğlu, J. Hejzlar, E. Papastergiadou, M. Šorf, K. Stefanidis,
M. Søndergaard, P. Zingel, E. Jeppesen, Hydrobiologia : Acta Hydrobiologica, Hydrographica,
Limnologica et Protistologica 852 (2024) 471–487.'
ufg: 'Cao, Yu u. a.: Predicting daily net ecosystem production in shallow
lakes from dissolved oxygen saturation levels: a pan-European mesocosm experiment
and modelling approach, in: Hydrobiologia : acta hydrobiologica, hydrographica,
limnologica et protistologica 852 (2024), H. 2, S. 471–487.'
van: 'Cao Y, Scharfenberger U, Shatwell T, Adrian R, Agasild H, Angeler DG, et al.
Predicting daily net ecosystem production in shallow lakes from dissolved oxygen
saturation levels: a pan-European mesocosm experiment and modelling approach.
Hydrobiologia : acta hydrobiologica, hydrographica, limnologica et protistologica
. 2024;852(2):471–87.'
date_created: 2024-12-08T18:59:09Z
date_updated: 2025-06-24T14:10:28Z
department:
- _id: DEP8022
doi: 10.1007/s10750-024-05714-z
external_id:
isi:
- '001351975400001'
intvolume: ' 852'
isi: '1'
issue: '2'
keyword:
- Metabolism
- Simple models
- Process-based models
- Cross-system analyses
language:
- iso: eng
page: 471-487
place: Dordrecht [u.a.]
publication: 'Hydrobiologia : acta hydrobiologica, hydrographica, limnologica et protistologica '
publication_identifier:
eissn:
- 1573-5117
issn:
- 0018-8158
publication_status: published
publisher: Springer
quality_controlled: '1'
status: public
title: 'Predicting daily net ecosystem production in shallow lakes from dissolved
oxygen saturation levels: a pan-European mesocosm experiment and modelling approach'
type: scientific_journal_article
user_id: '83781'
volume: 852
year: '2024'
...
---
_id: '10788'
abstract:
- lang: eng
text: For process monitoring, an adequate data preprocessing is crucial to link
accessible inline process data with offline measured target variables. Literature,
however, does not provide systematic preprocessing strategies. The effects of
five different preprocessing strategies on data from a Dielectric Spectroscopy
system applied to the Viable Cell Density (VCD) of a mammalian cell cultivation
were thus evaluated. Single-frequency measurements are typically used to model
the VCD over the growth phase using linear regression or the Cole-Cole model and
served as a reference. As multi-frequency measurement is promising to model the
VCD beyond the growth phase using Partial Least Squares Regression (PLSR), we
further aimed to determine, whether replacing linear regression by PLSR shows
comparable modeling performance. All five preprocessing strategies led to comparable
results. Exemplary, when using capacitance values at a frequency of 3347 kHz,
linear regression resulted in a R2 of 0.90 and a standard deviation of 0.4 % on
average. Both normalization techniques had the same positive effect on the results
of PLSR. The order of smoothing and normalization was irrelevant for both regression
methods. Comparing the results of linear regression and PLSR, the latter obtained
on average 9 % better results. Therefore, we concluded that PLSR is preferable
over linear regression and is potentially suitable to model the VCD beyond the
growth phase, which is suggested to be investigated based on more data sets.
author:
- first_name: Selina
full_name: Ramm, Selina
id: '68713'
last_name: Ramm
orcid: https://orcid.org/0000-0002-0502-8032
- first_name: Tanja
full_name: Hernández Rodriguez, Tanja
id: '52466'
last_name: Hernández Rodriguez
- first_name: Björn
full_name: Frahm, Björn
id: '45666'
last_name: Frahm
- first_name: Miriam
full_name: Pein-Hackelbusch, Miriam
id: '64952'
last_name: Pein-Hackelbusch
orcid: 0000-0002-7920-0595
citation:
ama: Ramm S, Hernández Rodriguez T, Frahm B, Pein-Hackelbusch M. Systematic Preprocessing
of Dielectric Spectroscopy Data and Estimating Viable Cell Densities. (Jasperneite
J, Wisniewski L, Fung Man K, Institute of Electrical and Electronics Engineers
, eds.). IEEE; 2023:1-6. doi:10.1109/INDIN51400.2023.10218012
apa: Ramm, S., Hernández Rodriguez, T., Frahm, B., & Pein-Hackelbusch, M. (2023).
Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable
Cell Densities. In J. Jasperneite, L. Wisniewski, K. Fung Man, & Institute
of Electrical and Electronics Engineers (Eds.), 2023 IEEE 21st International
Conference on Industrial Informatics (INDIN) (pp. 1–6). IEEE. https://doi.org/10.1109/INDIN51400.2023.10218012
bjps: 'Ramm S et al. (2023) Systematic Preprocessing of Dielectric
Spectroscopy Data and Estimating Viable Cell Densities, Jasperneite J et al.
(eds). [Piscataway, NJ]: IEEE.'
chicago: 'Ramm, Selina, Tanja Hernández Rodriguez, Björn Frahm, and Miriam Pein-Hackelbusch.
Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable
Cell Densities. Edited by Jürgen Jasperneite, Lukasz Wisniewski, Kim Fung
Man, and Institute of Electrical and Electronics Engineers . 2023 IEEE 21st
International Conference on Industrial Informatics (INDIN). [Piscataway, NJ]:
IEEE, 2023. https://doi.org/10.1109/INDIN51400.2023.10218012.'
chicago-de: 'Ramm, Selina, Tanja Hernández Rodriguez, Björn Frahm und Miriam Pein-Hackelbusch.
2023. Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating
Viable Cell Densities. Hg. von Jürgen Jasperneite, Lukasz Wisniewski, Kim
Fung Man, und Institute of Electrical and Electronics Engineers . 2023 IEEE
21st International Conference on Industrial Informatics (INDIN). [Piscataway,
NJ]: IEEE. doi:10.1109/INDIN51400.2023.10218012,
.'
din1505-2-1: 'Ramm, Selina ; Hernández Rodriguez, Tanja ; Frahm,
Björn ; Pein-Hackelbusch, Miriam
; Jasperneite, J. ; Wisniewski,
L. ; Fung Man, K. ; Institute of Electrical and Electronics Engineers
(Hrsg.): Systematic Preprocessing of Dielectric Spectroscopy Data and
Estimating Viable Cell Densities. [Piscataway, NJ] : IEEE, 2023'
havard: S. Ramm, T. Hernández Rodriguez, B. Frahm, M. Pein-Hackelbusch, Systematic
Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities,
IEEE, [Piscataway, NJ], 2023.
ieee: 'S. Ramm, T. Hernández Rodriguez, B. Frahm, and M. Pein-Hackelbusch, Systematic
Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities.
[Piscataway, NJ]: IEEE, 2023, pp. 1–6. doi: 10.1109/INDIN51400.2023.10218012.'
mla: Ramm, Selina, et al. “Systematic Preprocessing of Dielectric Spectroscopy Data
and Estimating Viable Cell Densities.” 2023 IEEE 21st International Conference
on Industrial Informatics (INDIN), edited by Jürgen Jasperneite et al., IEEE,
2023, pp. 1–6, https://doi.org/10.1109/INDIN51400.2023.10218012.
short: S. Ramm, T. Hernández Rodriguez, B. Frahm, M. Pein-Hackelbusch, Systematic
Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities,
IEEE, [Piscataway, NJ], 2023.
ufg: 'Ramm, Selina u. a.: Systematic Preprocessing of Dielectric Spectroscopy
Data and Estimating Viable Cell Densities, hg. von Jasperneite, Jürgen u. a.,
[Piscataway, NJ] 2023.'
van: 'Ramm S, Hernández Rodriguez T, Frahm B, Pein-Hackelbusch M. Systematic Preprocessing
of Dielectric Spectroscopy Data and Estimating Viable Cell Densities. Jasperneite
J, Wisniewski L, Fung Man K, Institute of Electrical and Electronics Engineers
, editors. 2023 IEEE 21st International Conference on Industrial Informatics (INDIN).
[Piscataway, NJ]: IEEE; 2023.'
conference:
end_date: 2023-07-20
location: Lemgo
name: 21st International Conference on Industrial Informatics (INDIN)
start_date: 2023-07-18
corporate_editor:
- 'Institute of Electrical and Electronics Engineers '
date_created: 2023-11-21T08:17:12Z
date_updated: 2025-04-29T07:38:03Z
department:
- _id: DEP4022
- _id: DEP4028
doi: 10.1109/INDIN51400.2023.10218012
editor:
- first_name: Jürgen
full_name: Jasperneite, Jürgen
id: '1899'
last_name: Jasperneite
- first_name: Lukasz
full_name: Wisniewski, Lukasz
id: '1710'
last_name: Wisniewski
- first_name: Kim
full_name: Fung Man, Kim
last_name: Fung Man
keyword:
- Spectroscopy
- Smoothing methods
- Systematics
- Phase measurement
- Linear regression
- Data models
- Dielectric measurement
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://ieeexplore.ieee.org/document/10218012
oa: '1'
page: 1-6
place: '[Piscataway, NJ]'
publication: 2023 IEEE 21st International Conference on Industrial Informatics (INDIN)
publication_identifier:
eisbn:
- 978-1-6654-9313-0
isbn:
- 978-1-6654-9314-7
issn:
- 1935-4576
publication_status: published
publisher: IEEE
status: public
title: Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable
Cell Densities
type: conference_editor_article
user_id: '83781'
year: '2023'
...
---
_id: '13017'
abstract:
- lang: eng
text: The article presents the potentials and capacities of extracurricular activities
such as student workshops for strengthening existing curricula and introducing
emerging specialised areas, topics, and challenges into architectural higher education.
The specific objective of this study is to enhance and test different pedagogical
models for learning on the sustainable rehabilitation of mass housing neighbourhoods
(MHN), as a specific type of modern heritage, through innovative extracurricular
teaching practices based on interdisciplinarity, flexibility, and adaptability.
This research presents three student workshops focusing on the rehabilitation
of mass housing neighbourhoods (MHN), involving students, academics, and professionals
from the field, organised in Germany, Serbia, and North Macedonia in 2022. Moreover,
it engages a comparative analysis of the learning formats and approaches developed
within this discipline-specific cross-border collaboration. The study provides
(1) an insight into the comparative analysis of learning capabilities and (2)
the formulation of workshop models supported by diagramming of the workshop structure.
The conclusion of the article summarises the findings and highlights the essential
aspects for engaging student workshops, as an instrument for generating operational
knowledge in the field of mass housing rehabilitation.
article_number: '2476'
author:
- first_name: Anica
full_name: Dragutinovic, Anica
id: '68875'
last_name: Dragutinovic
orcid: 0000-0002-6962-5223
- first_name: Aleksandra
full_name: Milovanovic, Aleksandra
last_name: Milovanovic
- first_name: Mihajlo
full_name: Stojanovski, Mihajlo
last_name: Stojanovski
- first_name: Tea
full_name: Damjanovska, Tea
last_name: Damjanovska
- first_name: Aleksandra
full_name: Đorđevic, Aleksandra
last_name: Đorđevic
- first_name: Ana
full_name: Nikezic, Ana
last_name: Nikezic
- first_name: Uta
full_name: Pottgiesser, Uta
id: '27166'
last_name: Pottgiesser
orcid: 0000-0002-8594-3168
- first_name: Ana
full_name: Ivanovska Deskova, Ana
last_name: Ivanovska Deskova
- first_name: Jovan
full_name: Ivanovski, Jovan
last_name: Ivanovski
citation:
ama: 'Dragutinovic A, Milovanovic A, Stojanovski M, et al. Approaching Extracurricular
Activities for Teaching and Learning on Sustainable Rehabilitation of Mass Housing:
Reporting from the Arena of Architectural Higher Education. Sustainability.
2023;15(3). doi:10.3390/su15032476'
apa: 'Dragutinovic, A., Milovanovic, A., Stojanovski, M., Damjanovska, T., Đorđevic,
A., Nikezic, A., Pottgiesser, U., Ivanovska Deskova, A., & Ivanovski, J. (2023).
Approaching Extracurricular Activities for Teaching and Learning on Sustainable
Rehabilitation of Mass Housing: Reporting from the Arena of Architectural Higher
Education. Sustainability, 15(3), Article 2476. https://doi.org/10.3390/su15032476'
bjps: 'Dragutinovic A et al. (2023) Approaching Extracurricular Activities
for Teaching and Learning on Sustainable Rehabilitation of Mass Housing: Reporting
from the Arena of Architectural Higher Education. Sustainability 15.'
chicago: 'Dragutinovic, Anica, Aleksandra Milovanovic, Mihajlo Stojanovski, Tea
Damjanovska, Aleksandra Đorđevic, Ana Nikezic, Uta Pottgiesser, Ana Ivanovska
Deskova, and Jovan Ivanovski. “Approaching Extracurricular Activities for Teaching
and Learning on Sustainable Rehabilitation of Mass Housing: Reporting from the
Arena of Architectural Higher Education.” Sustainability 15, no. 3 (2023).
https://doi.org/10.3390/su15032476.'
chicago-de: 'Dragutinovic, Anica, Aleksandra Milovanovic, Mihajlo Stojanovski, Tea
Damjanovska, Aleksandra Đorđevic, Ana Nikezic, Uta Pottgiesser, Ana Ivanovska
Deskova und Jovan Ivanovski. 2023. Approaching Extracurricular Activities for
Teaching and Learning on Sustainable Rehabilitation of Mass Housing: Reporting
from the Arena of Architectural Higher Education. Sustainability 15, Nr.
3. doi:10.3390/su15032476, .'
din1505-2-1: 'Dragutinovic,
Anica ; Milovanovic, Aleksandra
; Stojanovski, Mihajlo ; Damjanovska,
Tea ; Đorđevic, Aleksandra
; Nikezic, Ana ; Pottgiesser,
Uta ; Ivanovska Deskova, Ana
; u. a.: Approaching Extracurricular Activities for Teaching and Learning
on Sustainable Rehabilitation of Mass Housing: Reporting from the Arena of Architectural
Higher Education. In: Sustainability Bd. 15. Basel, MDPI (2023), Nr. 3'
havard: 'A. Dragutinovic, A. Milovanovic, M. Stojanovski, T. Damjanovska, A. Đorđevic,
A. Nikezic, U. Pottgiesser, A. Ivanovska Deskova, J. Ivanovski, Approaching Extracurricular
Activities for Teaching and Learning on Sustainable Rehabilitation of Mass Housing:
Reporting from the Arena of Architectural Higher Education, Sustainability. 15
(2023).'
ieee: 'A. Dragutinovic et al., “Approaching Extracurricular Activities for
Teaching and Learning on Sustainable Rehabilitation of Mass Housing: Reporting
from the Arena of Architectural Higher Education,” Sustainability, vol.
15, no. 3, Art. no. 2476, 2023, doi: 10.3390/su15032476.'
mla: 'Dragutinovic, Anica, et al. “Approaching Extracurricular Activities for Teaching
and Learning on Sustainable Rehabilitation of Mass Housing: Reporting from the
Arena of Architectural Higher Education.” Sustainability, vol. 15, no.
3, 2476, 2023, https://doi.org/10.3390/su15032476.'
short: A. Dragutinovic, A. Milovanovic, M. Stojanovski, T. Damjanovska, A. Đorđevic,
A. Nikezic, U. Pottgiesser, A. Ivanovska Deskova, J. Ivanovski, Sustainability
15 (2023).
ufg: 'Dragutinovic, Anica u. a.: Approaching Extracurricular Activities for
Teaching and Learning on Sustainable Rehabilitation of Mass Housing: Reporting
from the Arena of Architectural Higher Education, in: Sustainability 15
(2023), H. 3.'
van: 'Dragutinovic A, Milovanovic A, Stojanovski M, Damjanovska T, Đorđevic A, Nikezic
A, et al. Approaching Extracurricular Activities for Teaching and Learning on
Sustainable Rehabilitation of Mass Housing: Reporting from the Arena of Architectural
Higher Education. Sustainability. 2023;15(3).'
date_created: 2025-06-24T13:32:32Z
date_updated: 2025-06-24T13:35:15Z
department:
- _id: DEP1600
doi: 10.3390/su15032476
intvolume: ' 15'
issue: '3'
keyword:
- extracurricular activities
- extracurricular learning formats
- student workshops
- workshop models
- pedagogical models
- architectural higher education
- mass housing neighbourhoods
- sustainable rehabilitation
language:
- iso: eng
place: Basel
publication: Sustainability
publication_identifier:
eissn:
- 2071-1050
publication_status: published
publisher: 'MDPI '
quality_controlled: '1'
status: public
title: 'Approaching Extracurricular Activities for Teaching and Learning on Sustainable
Rehabilitation of Mass Housing: Reporting from the Arena of Architectural Higher
Education'
type: scientific_journal_article
user_id: '83781'
volume: 15
year: '2023'
...
---
_id: '6932'
abstract:
- lang: eng
text: n order to ensure the safety and security of industrial systems with regard
to all life cycle phases from development through operation to disposal, specific
regulatory and normative requirements are imposed. Due to the digitalization,
interconnection, and constantly increasing complexity of manufacturing systems
in the context of Industrie 4.0, the manual effort necessary to achieve the required
safety and security is becoming ever greater and almost impossible to manage,
especially for small and medium-sized enterprises. Therefore, this paper examines
the existing challenges in this area in more detail and gives an outlook on the
possible solutions to ensure safety and security much quicker and with less manual
effort. The overall vision is a (partially) automated risk assessment of modular
systems with respect to safety and security, including the alignment of the corresponding
processes from both domains and the formalization of the information models needed.
author:
- first_name: Marco
full_name: Ehrlich, Marco
id: '61562'
last_name: Ehrlich
- first_name: Andre
full_name: Bröring, Andre
id: '65130'
last_name: Bröring
- first_name: Dimitri
full_name: Harder, Dimitri
id: '69147'
last_name: Harder
- first_name: Torben
full_name: Auhagen-Meyer, Torben
last_name: Auhagen-Meyer
- first_name: Philip
full_name: Kleen, Philip
id: '44776'
last_name: Kleen
- first_name: Lukasz
full_name: Wisniewski, Lukasz
id: '1710'
last_name: Wisniewski
- first_name: Henning
full_name: Trsek, Henning
id: '1486'
last_name: Trsek
orcid: 0000-0002-0133-0656
- first_name: Jürgen
full_name: Jasperneite, Jürgen
id: '1899'
last_name: Jasperneite
citation:
ama: 'Ehrlich M, Bröring A, Harder D, et al. Alignment of safety and security risk
assessments for modular production systems. Elektrotechnik und Informationstechnik :
e & i. 2021;138(6):454-461. doi:10.1007/s00502-021-00927-9'
apa: 'Ehrlich, M., Bröring, A., Harder, D., Auhagen-Meyer, T., Kleen, P., Wisniewski,
L., Trsek, H., & Jasperneite, J. (2021). Alignment of safety and security
risk assessments for modular production systems. Elektrotechnik Und Informationstechnik :
E & i, 138(6), 454–461. https://doi.org/10.1007/s00502-021-00927-9'
bjps: 'Ehrlich M et al. (2021) Alignment of Safety and Security Risk
Assessments for Modular Production Systems. Elektrotechnik und Informationstechnik :
e & i 138, 454–461.'
chicago: 'Ehrlich, Marco, Andre Bröring, Dimitri Harder, Torben Auhagen-Meyer, Philip
Kleen, Lukasz Wisniewski, Henning Trsek, and Jürgen Jasperneite. “Alignment of
Safety and Security Risk Assessments for Modular Production Systems.” Elektrotechnik
Und Informationstechnik : E & i 138, no. 6 (2021): 454–61. https://doi.org/10.1007/s00502-021-00927-9.'
chicago-de: 'Ehrlich, Marco, Andre Bröring, Dimitri Harder, Torben Auhagen-Meyer,
Philip Kleen, Lukasz Wisniewski, Henning Trsek und Jürgen Jasperneite. 2021. Alignment
of safety and security risk assessments for modular production systems. Elektrotechnik
und Informationstechnik : e & i 138, Nr. 6: 454–461. doi:10.1007/s00502-021-00927-9,
.'
din1505-2-1: 'Ehrlich, Marco ; Bröring, Andre ; Harder,
Dimitri ; Auhagen-Meyer, Torben
; Kleen, Philip ; Wisniewski,
Lukasz ; Trsek, Henning ;
Jasperneite, Jürgen: Alignment of
safety and security risk assessments for modular production systems. In: Elektrotechnik
und Informationstechnik : e & i Bd. 138, Springer (2021), Nr. 6, S. 454–461'
havard: 'M. Ehrlich, A. Bröring, D. Harder, T. Auhagen-Meyer, P. Kleen, L. Wisniewski,
H. Trsek, J. Jasperneite, Alignment of safety and security risk assessments for
modular production systems, Elektrotechnik Und Informationstechnik : E & i.
138 (2021) 454–461.'
ieee: 'M. Ehrlich et al., “Alignment of safety and security risk assessments
for modular production systems,” Elektrotechnik und Informationstechnik : e
& i, vol. 138, no. 6, pp. 454–461, 2021, doi: 10.1007/s00502-021-00927-9.'
mla: 'Ehrlich, Marco, et al. “Alignment of Safety and Security Risk Assessments
for Modular Production Systems.” Elektrotechnik Und Informationstechnik : E
& i, vol. 138, no. 6, 2021, pp. 454–61, https://doi.org/10.1007/s00502-021-00927-9.'
short: 'M. Ehrlich, A. Bröring, D. Harder, T. Auhagen-Meyer, P. Kleen, L. Wisniewski,
H. Trsek, J. Jasperneite, Elektrotechnik Und Informationstechnik : E & i 138
(2021) 454–461.'
ufg: 'Ehrlich, Marco u. a.: Alignment of safety and security risk assessments
for modular production systems, in: Elektrotechnik und Informationstechnik :
e & i 138 (2021), H. 6, S. 454–461.'
van: 'Ehrlich M, Bröring A, Harder D, Auhagen-Meyer T, Kleen P, Wisniewski L, et
al. Alignment of safety and security risk assessments for modular production systems.
Elektrotechnik und Informationstechnik : e & i. 2021;138(6):454–61.'
date_created: 2021-12-23T17:37:45Z
date_updated: 2025-06-26T13:28:58Z
department:
- _id: DEP5019
- _id: DEP5023
doi: 10.1007/s00502-021-00927-9
external_id:
isi:
- '000696142100001'
intvolume: ' 138'
isi: '1'
issue: '6'
keyword:
- safety
- security
- alignment
- automation
- processes
- models
language:
- iso: eng
page: 454-461
publication: 'Elektrotechnik und Informationstechnik : e & i'
publication_identifier:
eissn:
- 1613-7620
issn:
- 0932-383X
publication_status: published
publisher: Springer
status: public
title: Alignment of safety and security risk assessments for modular production systems
type: journal_article
user_id: '83781'
volume: 138
year: '2021'
...
---
_id: '12786'
abstract:
- lang: eng
text: 'One goal in Bayesian machine learning is to encode prior knowledge into prior
distributions, to model data efficiently. We consider prior knowledge from systems
of linear partial differential equations together with their boundary conditions.
We construct multi-output Gaussian process priors with realizations in the solution
set of such systems, in particular only such solutions can be represented by Gaussian
process regression. The construction is fully algorithmic via Grobner bases and
it does not employ any approximation. It builds these priors combining two parametrizations
via a pullback: the first parametrizes the solutions for the system of differential
equations and the second parametrizes all functions adhering to the boundary conditions.'
author:
- first_name: Markus
full_name: Lange-Hegermann, Markus
id: '71761'
last_name: Lange-Hegermann
citation:
ama: Lange-Hegermann M. Linearly Constrained Gaussian Processes with Boundary
Conditions. Vol 130. (Banerjee A, Fukumizu K, eds.). MLResearchPress ; 2021.
apa: Lange-Hegermann, M. (2021). Linearly Constrained Gaussian Processes with Boundary
Conditions. In A. Banerjee & K. Fukumizu (Eds.), 24th International Conference
on Artificial Intelligence and Statistics (AISTATS) (Vol. 130). MLResearchPress
.
bjps: Lange-Hegermann M (2021) Linearly Constrained Gaussian Processes
with Boundary Conditions, Banerjee A and Fukumizu K (eds). MLResearchPress
.
chicago: 'Lange-Hegermann, Markus. Linearly Constrained Gaussian Processes with
Boundary Conditions. Edited by A. Banerjee and K. Fukumizu. 24th International
Conference on Artificial Intelligence and Statistics (AISTATS). Vol. 130.
Proceedings of Machine Learning Research : PMLR . MLResearchPress , 2021.'
chicago-de: 'Lange-Hegermann, Markus. 2021. Linearly Constrained Gaussian Processes
with Boundary Conditions. Hg. von A. Banerjee und K. Fukumizu. 24th International
Conference on Artificial Intelligence and Statistics (AISTATS). Bd. 130. Proceedings
of machine learning research : PMLR . MLResearchPress .'
din1505-2-1: 'Lange-Hegermann, Markus
; Banerjee, A. ; Fukumizu,
K. (Hrsg.): Linearly Constrained Gaussian Processes with Boundary Conditions,
Proceedings of machine learning research : PMLR . Bd. 130 : MLResearchPress
, 2021'
havard: M. Lange-Hegermann, Linearly Constrained Gaussian Processes with Boundary
Conditions, MLResearchPress , 2021.
ieee: M. Lange-Hegermann, Linearly Constrained Gaussian Processes with Boundary
Conditions, vol. 130. MLResearchPress , 2021.
mla: Lange-Hegermann, Markus. “Linearly Constrained Gaussian Processes with Boundary
Conditions.” 24th International Conference on Artificial Intelligence and Statistics
(AISTATS), edited by A. Banerjee and K. Fukumizu, vol. 130, MLResearchPress
, 2021.
short: M. Lange-Hegermann, Linearly Constrained Gaussian Processes with Boundary
Conditions, MLResearchPress , 2021.
ufg: 'Lange-Hegermann, Markus: Linearly Constrained Gaussian Processes with
Boundary Conditions, Bd. 130, hg. von Banerjee, A./Fukumizu, K., o. O. 2021 (Proceedings
of machine learning research : PMLR ).'
van: 'Lange-Hegermann M. Linearly Constrained Gaussian Processes with Boundary Conditions.
Banerjee A, Fukumizu K, editors. 24th International Conference on Artificial Intelligence
and Statistics (AISTATS). MLResearchPress ; 2021. (Proceedings of machine learning
research : PMLR ; vol. 130).'
conference:
end_date: 2021-04-15
location: Virtual
name: 24th International Conference on Artificial Intelligence and Statistics (AISTATS)
start_date: 2021-04-13
date_created: 2025-04-14T13:58:16Z
date_updated: 2025-06-26T13:42:36Z
department:
- _id: DEP5000
- _id: DEP5023
editor:
- first_name: A.
full_name: Banerjee, A.
last_name: Banerjee
- first_name: K.
full_name: Fukumizu, K.
last_name: Fukumizu
intvolume: ' 130'
keyword:
- FUNCTIONAL REGRESSION
- PREDICTION
- ALGORITHMS
- COMPLEXITY
- MODELS
language:
- iso: eng
publication: 24th International Conference on Artificial Intelligence and Statistics
(AISTATS)
publication_identifier:
issn:
- 2640-3498
publication_status: published
publisher: 'MLResearchPress '
quality_controlled: '1'
series_title: 'Proceedings of machine learning research : PMLR '
status: public
title: Linearly Constrained Gaussian Processes with Boundary Conditions
type: conference_editor_article
user_id: '83781'
volume: 130
year: '2021'
...
---
_id: '5435'
abstract:
- lang: eng
text: Towards renewable energy systems, the coupling of multiple sectors is important
and incorporates novel technologies where currently no models exist that correctly
represent all transient effects. Therefore, we present a method that incorporates
Hardware-in-the-Loop simulations where virtual components as models are coupled
to real and experimental facilities in real time. By including experimental components,
a higher validity can be obtained and the practical applicability of renewable
energy scenario can be discussed more profoundly. In this paper, the considered
energy system consists of an experimental biocatalytic methanation reactor, a
real photovoltaic park, a regenerative fuel cell and short-term storage units
to supply a residential district. A representative control sequence of the methanator
is obtained by modeling the scenario as an optimal control problem. A first HIL
simulation highlights that modifications of the instrumentation are required for
a grid injection of the generated methane. The scientific approach can be applied
to any energy system where some of the considered components are available as
experimental or real facilities. Non-exisiting components are simply replaced
by models. The presented approach helps to determine which parts or process parameters
are crucial for the planed operation before the overall energy system is realized
on a larger scale. (C) 2019 Elsevier Ltd. All rights reserved.
author:
- first_name: Martin
full_name: Griese, Martin
id: '52308'
last_name: Griese
- first_name: Marc Philippe
full_name: Hoffrath, Marc Philippe
last_name: Hoffrath
- first_name: Timo
full_name: Broeker, Timo
id: '43927'
last_name: Broeker
- first_name: Thomas
full_name: Schulte, Thomas
id: '46242'
last_name: Schulte
- first_name: Jan
full_name: Schneider, Jan
id: '13209'
last_name: Schneider
orcid: 0000-0001-6401-8873
citation:
ama: 'Griese M, Hoffrath MP, Broeker T, Schulte T, Schneider J. Hardware-in-the-Loop
simulation of an optimized energy management incorporating an experimental biocatalytic
methanation reactor. Energy : the international journal. 2019;181:77-90.
doi:10.1016/j.energy.2019.05.092'
apa: 'Griese, M., Hoffrath, M. P., Broeker, T., Schulte, T., & Schneider, J.
(2019). Hardware-in-the-Loop simulation of an optimized energy management incorporating
an experimental biocatalytic methanation reactor. Energy : The International
Journal, 181, 77–90. https://doi.org/10.1016/j.energy.2019.05.092'
bjps: 'Griese M et al. (2019) Hardware-in-the-Loop Simulation of an
Optimized Energy Management Incorporating an Experimental Biocatalytic Methanation
Reactor. Energy : the international journal 181, 77–90.'
chicago: 'Griese, Martin, Marc Philippe Hoffrath, Timo Broeker, Thomas Schulte,
and Jan Schneider. “Hardware-in-the-Loop Simulation of an Optimized Energy Management
Incorporating an Experimental Biocatalytic Methanation Reactor.” Energy : The
International Journal 181 (2019): 77–90. https://doi.org/10.1016/j.energy.2019.05.092.'
chicago-de: 'Griese, Martin, Marc Philippe Hoffrath, Timo Broeker, Thomas Schulte
und Jan Schneider. 2019. Hardware-in-the-Loop simulation of an optimized energy
management incorporating an experimental biocatalytic methanation reactor. Energy :
the international journal 181: 77–90. doi:10.1016/j.energy.2019.05.092,
.'
din1505-2-1: 'Griese, Martin ; Hoffrath, Marc Philippe ; Broeker,
Timo ; Schulte, Thomas ;
Schneider, Jan: Hardware-in-the-Loop
simulation of an optimized energy management incorporating an experimental biocatalytic
methanation reactor. In: Energy : the international journal Bd. 181, Elsevier
(2019), S. 77–90'
havard: 'M. Griese, M.P. Hoffrath, T. Broeker, T. Schulte, J. Schneider, Hardware-in-the-Loop
simulation of an optimized energy management incorporating an experimental biocatalytic
methanation reactor, Energy : The International Journal. 181 (2019) 77–90.'
ieee: 'M. Griese, M. P. Hoffrath, T. Broeker, T. Schulte, and J. Schneider, “Hardware-in-the-Loop
simulation of an optimized energy management incorporating an experimental biocatalytic
methanation reactor,” Energy : the international journal, vol. 181, pp.
77–90, 2019, doi: 10.1016/j.energy.2019.05.092.'
mla: 'Griese, Martin, et al. “Hardware-in-the-Loop Simulation of an Optimized Energy
Management Incorporating an Experimental Biocatalytic Methanation Reactor.” Energy :
The International Journal, vol. 181, 2019, pp. 77–90, https://doi.org/10.1016/j.energy.2019.05.092.'
short: 'M. Griese, M.P. Hoffrath, T. Broeker, T. Schulte, J. Schneider, Energy :
The International Journal 181 (2019) 77–90.'
ufg: 'Griese, Martin u. a.: Hardware-in-the-Loop simulation of an optimized
energy management incorporating an experimental biocatalytic methanation reactor,
in: Energy : the international journal 181 (2019), S. 77–90.'
van: 'Griese M, Hoffrath MP, Broeker T, Schulte T, Schneider J. Hardware-in-the-Loop
simulation of an optimized energy management incorporating an experimental biocatalytic
methanation reactor. Energy : the international journal. 2019;181:77–90.'
conference:
end_date: 2018-06-21
location: Guimaraes, PORTUGAL
name: 31st International Conference on Efficiency, Cost, Optimization, Simulation,
and Environmental Impact of Energy Systems (ECOS)
start_date: 2018-06-17
date_created: 2021-04-08T07:42:48Z
date_updated: 2025-06-25T07:48:53Z
department:
- _id: DEP4023
- _id: DEP4018
doi: 10.1016/j.energy.2019.05.092
external_id:
isi:
- '000476965900009'
intvolume: ' 181'
isi: '1'
keyword:
- Biological methanation
- Energy management
- HIL simulation
- Optimization
- Scalable models
language:
- iso: eng
page: 77 - 90
publication: 'Energy : the international journal'
publication_identifier:
eissn:
- 1873-6785
issn:
- 0360-5442
publication_status: published
publisher: Elsevier
quality_controlled: '1'
status: public
title: Hardware-in-the-Loop simulation of an optimized energy management incorporating
an experimental biocatalytic methanation reactor
type: journal_article
user_id: '83781'
volume: 181
year: '2019'
...
---
_id: '4326'
abstract:
- lang: eng
text: The mechanical engineering and related industries are increasingly being dominated
by information and communication technology, leading to the development of cyber-physical
systems. However, these systems have to be seen from a broader angle, incorporating
several other environmental factors such as the organizational structure or human
factors. For this reason, the technology cannot be seen as solitary system, but
should rather be included in the context of a scenario of work 4.0. These scenarios
can help to classify new technologies, their advantages and constraints in order
to provide guidance for the digital development of organizations. While several
frameworks have been proposed in terms of technological guidance, most of them
focus heavily on technology, neglecting their organizational- and human factors.
In order to form a uniform understanding of the construct of industry 4.0, we
developed an instrument for rating scenarios of work 4.0 on the relevant dimensions
'technology', 'human' and 'organization'. This paper describes the chosen relevant
criteria including possible constraints we encountered. Future work on this topic
will include the creation of profiles of scenarios of work 4.0, further validation
of the criteria.
author:
- first_name: Sascha
full_name: Jenderny, Sascha
last_name: Jenderny
- first_name: Marc
full_name: Foullois, Marc
last_name: Foullois
- first_name: Anna-Lena
full_name: Kato-Beiderwieden, Anna-Lena
last_name: Kato-Beiderwieden
- first_name: Michael
full_name: Bansmann, Michael
last_name: Bansmann
- first_name: Lars
full_name: Wöste, Lars
last_name: Wöste
- first_name: Josefine
full_name: Lamß, Josefine
last_name: Lamß
- first_name: Günter W.
full_name: Maier, Günter W.
last_name: Maier
- first_name: Carsten
full_name: Röcker, Carsten
id: '61525'
last_name: Röcker
citation:
ama: 'Jenderny S, Foullois M, Kato-Beiderwieden A-L, et al. Development of an Instrument
for the Assessment of Scenarios of Work 4.0 Based on Socio-Technical Criteria.
In: Proceedings of the International Conference on Pervasive Technologies Related
to Assistive Environments (PETRA’18). ACM, New York, NY, USA, Pp. 319 - 326.
New York: ACM; 2018:319–326. doi:10.1145/3197768.3201566'
apa: 'Jenderny, S., Foullois, M., Kato-Beiderwieden, A.-L., Bansmann, M., Wöste,
L., Lamß, J., … Röcker, C. (2018). Development of an Instrument for the Assessment
of Scenarios of Work 4.0 Based on Socio-Technical Criteria. In Proceedings
of the International Conference on Pervasive Technologies Related to Assistive
Environments (PETRA’18). ACM, New York, NY, USA, pp. 319 - 326 (pp. 319–326).
New York: ACM. https://doi.org/10.1145/3197768.3201566'
bjps: 'Jenderny S et al. (2018) Development of an Instrument for the
Assessment of Scenarios of Work 4.0 Based on Socio-Technical Criteria. Proceedings
of the International Conference on Pervasive Technologies Related to Assistive
Environments (PETRA’18). ACM, New York, NY, USA, Pp. 319 - 326. New York:
ACM, pp. 319–326.'
chicago: 'Jenderny, Sascha, Marc Foullois, Anna-Lena Kato-Beiderwieden, Michael
Bansmann, Lars Wöste, Josefine Lamß, Günter W. Maier, and Carsten Röcker. “Development
of an Instrument for the Assessment of Scenarios of Work 4.0 Based on Socio-Technical
Criteria.” In Proceedings of the International Conference on Pervasive Technologies
Related to Assistive Environments (PETRA’18). ACM, New York, NY, USA, Pp. 319
- 326, 319–326. New York: ACM, 2018. https://doi.org/10.1145/3197768.3201566.'
chicago-de: 'Jenderny, Sascha, Marc Foullois, Anna-Lena Kato-Beiderwieden, Michael
Bansmann, Lars Wöste, Josefine Lamß, Günter W. Maier und Carsten Röcker. 2018.
Development of an Instrument for the Assessment of Scenarios of Work 4.0 Based
on Socio-Technical Criteria. In: Proceedings of the International Conference
on Pervasive Technologies Related to Assistive Environments (PETRA’18). ACM, New
York, NY, USA, pp. 319 - 326, 319–326. New York: ACM. doi:10.1145/3197768.3201566,
.'
din1505-2-1: 'Jenderny, Sascha ; Foullois, Marc ; Kato-Beiderwieden,
Anna-Lena ; Bansmann, Michael
; Wöste, Lars ; Lamß,
Josefine ; Maier, Günter W.
; Röcker, Carsten: Development of
an Instrument for the Assessment of Scenarios of Work 4.0 Based on Socio-Technical
Criteria. In: Proceedings of the International Conference on Pervasive Technologies
Related to Assistive Environments (PETRA’18). ACM, New York, NY, USA, pp. 319
- 326. New York : ACM, 2018, S. 319–326'
havard: 'S. Jenderny, M. Foullois, A.-L. Kato-Beiderwieden, M. Bansmann, L. Wöste,
J. Lamß, G.W. Maier, C. Röcker, Development of an Instrument for the Assessment
of Scenarios of Work 4.0 Based on Socio-Technical Criteria, in: Proceedings of
the International Conference on Pervasive Technologies Related to Assistive Environments
(PETRA’18). ACM, New York, NY, USA, Pp. 319 - 326, ACM, New York, 2018: pp. 319–326.'
ieee: S. Jenderny et al., “Development of an Instrument for the Assessment
of Scenarios of Work 4.0 Based on Socio-Technical Criteria,” in Proceedings
of the International Conference on Pervasive Technologies Related to Assistive
Environments (PETRA’18). ACM, New York, NY, USA, pp. 319 - 326, Corfu, Greece,
2018, pp. 319–326.
mla: Jenderny, Sascha, et al. “Development of an Instrument for the Assessment of
Scenarios of Work 4.0 Based on Socio-Technical Criteria.” Proceedings of the
International Conference on Pervasive Technologies Related to Assistive Environments
(PETRA’18). ACM, New York, NY, USA, Pp. 319 - 326, ACM, 2018, pp. 319–326,
doi:10.1145/3197768.3201566.
short: 'S. Jenderny, M. Foullois, A.-L. Kato-Beiderwieden, M. Bansmann, L. Wöste,
J. Lamß, G.W. Maier, C. Röcker, in: Proceedings of the International Conference
on Pervasive Technologies Related to Assistive Environments (PETRA’18). ACM, New
York, NY, USA, Pp. 319 - 326, ACM, New York, 2018, pp. 319–326.'
ufg: 'Jenderny, Sascha et. al. (2018): Development of an Instrument for the
Assessment of Scenarios of Work 4.0 Based on Socio-Technical Criteria, in: Proceedings
of the International Conference on Pervasive Technologies Related to Assistive
Environments (PETRA’18). ACM, New York, NY, USA, pp. 319 - 326, New York,
S. 319–326.'
van: 'Jenderny S, Foullois M, Kato-Beiderwieden A-L, Bansmann M, Wöste L, Lamß J,
et al. Development of an Instrument for the Assessment of Scenarios of Work 4.0
Based on Socio-Technical Criteria. In: Proceedings of the International Conference
on Pervasive Technologies Related to Assistive Environments (PETRA’18) ACM, New
York, NY, USA, pp 319 - 326. New York: ACM; 2018. p. 319–326.'
conference:
end_date: 2018-06-29
location: Corfu, Greece
name: '11th ACM International Conference on PErvasive Technologies Related to Assistive
Environments ; PETRA 2018 '
start_date: 2018-06-26
date_created: 2021-01-08T08:26:28Z
date_updated: 2023-03-15T13:49:52Z
department:
- _id: DEP5023
doi: 10.1145/3197768.3201566
keyword:
- Human-centered computing
- Human computer interaction (HCI)
- HCI theory
- concepts and models
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
page: 319–326
place: New York
publication: Proceedings of the International Conference on Pervasive Technologies
Related to Assistive Environments (PETRA'18). ACM, New York, NY, USA, pp. 319 -
326
publication_identifier:
isbn:
- 978-1-4503-6390-7
publication_status: published
publisher: ACM
status: public
title: Development of an Instrument for the Assessment of Scenarios of Work 4.0 Based
on Socio-Technical Criteria
type: conference
user_id: '15514'
year: 2018
...
---
_id: '4327'
abstract:
- lang: eng
text: In ever changing world, the industrial systems become more and more complex.
Machine feedback in the form of alarms and notifications, due to its growing volume,
becomes overwhelming for the operator. In addition, expectations in relation to
system availability are growing as well. Therefore, there exists strong need for
new solutions guaranteeing fast troubleshooting of problems that arise during
system operation. The approach proposed in this study uses advantages of the Asset
Administration Shell, machine learning, and human-machine interaction in order
to create the assistance system which holistically addresses the issue of troubleshooting
complex industrial systems.
author:
- first_name: Dorota
full_name: Lang, Dorota
id: '68941'
last_name: Lang
- first_name: Paul
full_name: Wunderlich, Paul
id: '52317'
last_name: Wunderlich
- first_name: Mario
full_name: Heinz, Mario
id: '68913'
last_name: Heinz
- first_name: Lukasz
full_name: Wisniewski, Lukasz
id: '1710'
last_name: Wisniewski
- first_name: Jürgen
full_name: Jasperneite, Jürgen
id: '1899'
last_name: Jasperneite
- first_name: Oliver
full_name: Niggemann, Oliver
id: '10876'
last_name: Niggemann
- first_name: Carsten
full_name: Röcker, Carsten
id: '61525'
last_name: Röcker
citation:
ama: 'Lang D, Wunderlich P, Heinz M, et al. Assistance System to Support Troubleshooting
of Complex Industrial Systems. In: 14th IEEE International Workshop on Factory
Communication Systems (WFCS). Piscataway, NJ: IEEE; 2018. doi:10.1109/WFCS.2018.8402380'
apa: 'Lang, D., Wunderlich, P., Heinz, M., Wisniewski, L., Jasperneite, J., Niggemann,
O., & Röcker, C. (2018). Assistance System to Support Troubleshooting of Complex
Industrial Systems. In 14th IEEE International Workshop on Factory Communication
Systems (WFCS). Piscataway, NJ: IEEE. https://doi.org/10.1109/WFCS.2018.8402380'
bjps: 'Lang D et al. (2018) Assistance System to Support Troubleshooting
of Complex Industrial Systems. 14th IEEE International Workshop on Factory
Communication Systems (WFCS). Piscataway, NJ: IEEE.'
chicago: 'Lang, Dorota, Paul Wunderlich, Mario Heinz, Lukasz Wisniewski, Jürgen
Jasperneite, Oliver Niggemann, and Carsten Röcker. “Assistance System to Support
Troubleshooting of Complex Industrial Systems.” In 14th IEEE International
Workshop on Factory Communication Systems (WFCS). Piscataway, NJ: IEEE, 2018.
https://doi.org/10.1109/WFCS.2018.8402380.'
chicago-de: 'Lang, Dorota, Paul Wunderlich, Mario Heinz, Lukasz Wisniewski, Jürgen
Jasperneite, Oliver Niggemann und Carsten Röcker. 2018. Assistance System to Support
Troubleshooting of Complex Industrial Systems. In: 14th IEEE International
Workshop on Factory Communication Systems (WFCS). Piscataway, NJ: IEEE. doi:10.1109/WFCS.2018.8402380,
.'
din1505-2-1: 'Lang, Dorota ; Wunderlich, Paul ; Heinz,
Mario ; Wisniewski, Lukasz
; Jasperneite, Jürgen ; Niggemann,
Oliver ; Röcker, Carsten:
Assistance System to Support Troubleshooting of Complex Industrial Systems. In:
14th IEEE International Workshop on Factory Communication Systems (WFCS).
Piscataway, NJ : IEEE, 2018'
havard: 'D. Lang, P. Wunderlich, M. Heinz, L. Wisniewski, J. Jasperneite, O. Niggemann,
C. Röcker, Assistance System to Support Troubleshooting of Complex Industrial
Systems, in: 14th IEEE International Workshop on Factory Communication Systems
(WFCS), IEEE, Piscataway, NJ, 2018.'
ieee: D. Lang et al., “Assistance System to Support Troubleshooting of Complex
Industrial Systems,” in 14th IEEE International Workshop on Factory Communication
Systems (WFCS), Imperia, Italy , 2018.
mla: Lang, Dorota, et al. “Assistance System to Support Troubleshooting of Complex
Industrial Systems.” 14th IEEE International Workshop on Factory Communication
Systems (WFCS), IEEE, 2018, doi:10.1109/WFCS.2018.8402380.
short: 'D. Lang, P. Wunderlich, M. Heinz, L. Wisniewski, J. Jasperneite, O. Niggemann,
C. Röcker, in: 14th IEEE International Workshop on Factory Communication Systems
(WFCS), IEEE, Piscataway, NJ, 2018.'
ufg: 'Lang, Dorota et. al. (2018): Assistance System to Support Troubleshooting
of Complex Industrial Systems, in: 14th IEEE International Workshop on Factory
Communication Systems (WFCS), Piscataway, NJ.'
van: 'Lang D, Wunderlich P, Heinz M, Wisniewski L, Jasperneite J, Niggemann O, et
al. Assistance System to Support Troubleshooting of Complex Industrial Systems.
In: 14th IEEE International Workshop on Factory Communication Systems (WFCS).
Piscataway, NJ: IEEE; 2018.'
conference:
end_date: 2018-06-15
location: 'Imperia, Italy '
name: 14th IEEE International Workshop on Factory Communication Systems (WFCS)
start_date: 2018-06-13
date_created: 2021-01-08T08:26:30Z
date_updated: 2023-03-15T13:49:52Z
department:
- _id: DEP5023
- _id: DEP5019
doi: 10.1109/WFCS.2018.8402380
keyword:
- Maintenance engineering
- Adaptation models
- Machine learning
- Data models
- Standards
- Software
- Bayes methods
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
place: Piscataway, NJ
publication: 14th IEEE International Workshop on Factory Communication Systems (WFCS)
publication_identifier:
eisbn:
- 978-1-5386-1066-4
publication_status: published
publisher: IEEE
status: public
title: Assistance System to Support Troubleshooting of Complex Industrial Systems
type: conference
user_id: '45673'
year: 2018
...
---
_id: '4495'
abstract:
- lang: eng
text: This paper illustrates why existing technology acceptance models are only
of limited use for predicting and explaining the adoption of future information
and communication technologies. It starts with a general overview over technology
adoption processes, and presents several theories for the acceptance as well as
adoption of traditional information technologies. This is followed by an overview
over the recent developments in the area of information and communication technologies.
Based on the arguments elaborated in these sections, it is shown why the factors
used to predict adoption in existing systems, will not be sufficient for explaining
the adoption of future information and communication technologies.
author:
- first_name: Carsten
full_name: Röcker, Carsten
id: '61525'
last_name: Röcker
citation:
ama: 'Röcker C. Why Traditional Technology Acceptance Models Won’t Work With Future
Information Technologies. In: Proceedings of the International Conference on
Intelligent Systems (ICIS’10), Part 1. Vol 41. International Journal of Information
and Communication Engineering. [S.l.]: World Academy of Science, Engineering and
Technology, WASET; 2010:490-496. doi:10.5281/zenodo.1078965'
apa: 'Röcker, C. (2010). Why Traditional Technology Acceptance Models Won’t Work
With Future Information Technologies. In Proceedings of the International Conference
on Intelligent Systems (ICIS’10), Part 1 (Vol. 41, pp. 490–496). [S.l.]: World
Academy of Science, Engineering and Technology, WASET. https://doi.org/10.5281/zenodo.1078965'
bjps: 'Röcker C (2010) Why Traditional Technology Acceptance Models Won’t
Work With Future Information Technologies. Proceedings of the International
Conference on Intelligent Systems (ICIS’10), Part 1, vol. 41. [S.l.]: World
Academy of Science, Engineering and Technology, WASET, pp. 490–496.'
chicago: 'Röcker, Carsten. “Why Traditional Technology Acceptance Models Won’t Work
With Future Information Technologies.” In Proceedings of the International
Conference on Intelligent Systems (ICIS’10), Part 1, 41:490–96. International
Journal of Information and Communication Engineering. [S.l.]: World Academy of
Science, Engineering and Technology, WASET, 2010. https://doi.org/10.5281/zenodo.1078965.'
chicago-de: 'Röcker, Carsten. 2010. Why Traditional Technology Acceptance Models
Won’t Work With Future Information Technologies. In: Proceedings of the International
Conference on Intelligent Systems (ICIS’10), Part 1, 41:490–496. International
Journal of Information and Communication Engineering. [S.l.]: World Academy of
Science, Engineering and Technology, WASET. doi:10.5281/zenodo.1078965,
.'
din1505-2-1: 'Röcker, Carsten: Why
Traditional Technology Acceptance Models Won’t Work With Future Information Technologies.
In: Proceedings of the International Conference on Intelligent Systems (ICIS’10),
Part 1, International Journal of Information and Communication Engineering.
Bd. 41. [S.l.] : World Academy of Science, Engineering and Technology, WASET,
2010, S. 490–496'
havard: 'C. Röcker, Why Traditional Technology Acceptance Models Won’t Work With
Future Information Technologies, in: Proceedings of the International Conference
on Intelligent Systems (ICIS’10), Part 1, World Academy of Science, Engineering
and Technology, WASET, [S.l.], 2010: pp. 490–496.'
ieee: C. Röcker, “Why Traditional Technology Acceptance Models Won’t Work With Future
Information Technologies,” in Proceedings of the International Conference on
Intelligent Systems (ICIS’10), Part 1, Tokyo, Japan, 2010, vol. 41, no. 5,
pp. 490–496.
mla: Röcker, Carsten. “Why Traditional Technology Acceptance Models Won’t Work With
Future Information Technologies.” Proceedings of the International Conference
on Intelligent Systems (ICIS’10), Part 1, vol. 41, no. 5, World Academy of
Science, Engineering and Technology, WASET, 2010, pp. 490–96, doi:10.5281/zenodo.1078965.
short: 'C. Röcker, in: Proceedings of the International Conference on Intelligent
Systems (ICIS’10), Part 1, World Academy of Science, Engineering and Technology,
WASET, [S.l.], 2010, pp. 490–496.'
ufg: 'Röcker, Carsten (2010): Why Traditional Technology Acceptance Models
Won’t Work With Future Information Technologies, in: Proceedings of the International
Conference on Intelligent Systems (ICIS’10), Part 1 (= International Journal
of Information and Communication Engineering 41), [S.l.], S. 490–496.'
van: 'Röcker C. Why Traditional Technology Acceptance Models Won’t Work With Future
Information Technologies. In: Proceedings of the International Conference on Intelligent
Systems (ICIS’10), Part 1. [S.l.]: World Academy of Science, Engineering and Technology,
WASET; 2010. p. 490–6. ( International Journal of Information and Communication
Engineering; vol. 41).'
conference:
end_date: 2010-05-28
location: Tokyo, Japan
name: ' International Conference on Intelligent Systems (ICIS''10)'
start_date: 2010-05-26
date_created: 2021-01-21T09:21:28Z
date_updated: 2023-03-15T13:49:53Z
department:
- _id: DEP5023
doi: 10.5281/zenodo.1078965
extern: '1'
intvolume: ' 41'
issue: '5'
keyword:
- Technology Diffusion
- Technology Acceptance Models
- Ambient Intelligence
- Ubiquitous and Pervasive Computing
language:
- iso: eng
page: 490 - 496
place: '[S.l.]'
publication: Proceedings of the International Conference on Intelligent Systems (ICIS'10),
Part 1
publication_identifier:
eisbn:
- 978-0-615-41898-8
eissn:
- 1307-6892
publication_status: published
publisher: World Academy of Science, Engineering and Technology, WASET
series_title: ' International Journal of Information and Communication Engineering'
status: public
title: Why Traditional Technology Acceptance Models Won't Work With Future Information
Technologies
type: conference
user_id: '15514'
volume: 41
year: 2010
...