---
_id: '63611'
abstract:
- lang: eng
text: When humans interact with artificial intelligence (AI), one desideratum is
appropriate trust. Typically, appropriate trust encompasses that humans trust
AI except for instances in which they either explicitly notice AI errors or are
suspicious that errors could be present. So far, appropriate trust or related
notions have mainly been investigated by assessing trust and reliance. In this
contribution, we argue that these assessments are insufficient to measure the
complex aim of appropriate trust and the related notion of healthy distrust. We
introduce and test the perspective of covert visual attention as an additional
indicator for appropriate trust and draw conceptual connections to the notion
of healthy distrust. To test the validity of our conceptualization, we formalize
visual attention using the Theory of Visual Attention and measure its properties
that are potentially relevant to appropriate trust and healthy distrust in an
image classification task. Based on temporal-order judgment performance, we estimate
participants' attentional capacity and attentional weight toward correct and incorrect
mock-up AI classifications. We observe that misclassifications reduce attentional
capacity compared to correct classifications. However, our results do not indicate
that this reduction is beneficial for a subsequent judgment of the classifications.
The attentional weighting is not affected by the classifications' correctness
but by the difficulty of categorizing the stimuli themselves. We discuss these
results, their implications, and the limited potential for using visual attention
as an indicator of appropriate trust and healthy distrust.
article_number: '1694367'
article_type: original
author:
- first_name: Tobias Martin
full_name: Peters, Tobias Martin
id: '92810'
last_name: Peters
orcid: 0009-0008-5193-6243
- first_name: Kai
full_name: Biermeier, Kai
id: '55908'
last_name: Biermeier
orcid: 0000-0002-2879-2359
- first_name: Ingrid
full_name: Scharlau, Ingrid
id: '451'
last_name: Scharlau
orcid: 0000-0003-2364-9489
citation:
ama: 'Peters TM, Biermeier K, Scharlau I. Assessing healthy distrust in human-AI
interaction: interpreting changes in visual attention. Frontiers in Psychology.
2026;16. doi:10.3389/fpsyg.2025.1694367'
apa: 'Peters, T. M., Biermeier, K., & Scharlau, I. (2026). Assessing healthy
distrust in human-AI interaction: interpreting changes in visual attention. Frontiers
in Psychology, 16, Article 1694367. https://doi.org/10.3389/fpsyg.2025.1694367'
bibtex: '@article{Peters_Biermeier_Scharlau_2026, title={Assessing healthy distrust
in human-AI interaction: interpreting changes in visual attention}, volume={16},
DOI={10.3389/fpsyg.2025.1694367},
number={1694367}, journal={Frontiers in Psychology}, publisher={Frontiers Media
SA}, author={Peters, Tobias Martin and Biermeier, Kai and Scharlau, Ingrid}, year={2026}
}'
chicago: 'Peters, Tobias Martin, Kai Biermeier, and Ingrid Scharlau. “Assessing
Healthy Distrust in Human-AI Interaction: Interpreting Changes in Visual Attention.”
Frontiers in Psychology 16 (2026). https://doi.org/10.3389/fpsyg.2025.1694367.'
ieee: 'T. M. Peters, K. Biermeier, and I. Scharlau, “Assessing healthy distrust
in human-AI interaction: interpreting changes in visual attention,” Frontiers
in Psychology, vol. 16, Art. no. 1694367, 2026, doi: 10.3389/fpsyg.2025.1694367.'
mla: 'Peters, Tobias Martin, et al. “Assessing Healthy Distrust in Human-AI Interaction:
Interpreting Changes in Visual Attention.” Frontiers in Psychology, vol.
16, 1694367, Frontiers Media SA, 2026, doi:10.3389/fpsyg.2025.1694367.'
short: T.M. Peters, K. Biermeier, I. Scharlau, Frontiers in Psychology 16 (2026).
date_created: 2026-01-14T14:21:59Z
date_updated: 2026-01-14T14:29:03Z
department:
- _id: '424'
- _id: '660'
doi: 10.3389/fpsyg.2025.1694367
intvolume: ' 16'
keyword:
- appropriate trust
- healthy distrust
- visual attention
- Theory of Visual Attention
- human-AI interaction
- Bayesian cognitive model
- image classification
language:
- iso: eng
project:
- _id: '124'
name: 'TRR 318 ; TP C01: Gesundes Misstrauen in Erklärungen'
publication: Frontiers in Psychology
publication_identifier:
issn:
- 1664-1078
publication_status: published
publisher: Frontiers Media SA
status: public
title: 'Assessing healthy distrust in human-AI interaction: interpreting changes in
visual attention'
type: journal_article
user_id: '92810'
volume: 16
year: '2026'
...
---
_id: '60958'
abstract:
- lang: eng
text: Large Language Models (LLMs) excel in understanding, generating, and processing
human language, with growing adoption in process mining. Process mining relies
on event logs that capture explicit process knowledge; however, knowledge-intensive
processes (KIPs) in domains such as healthcare and product development depend
on tacit knowledge, which is often absent from event logs. To bridge this gap,
this study proposes a LLM-based framework for mobilizing tacit process knowledge
and enriching event logs. A proof-of-concept is demonstrated using a KIP-specific
LLM-driven conversational agent built on GPT-4o. The results indicate that LLMs
can capture tacit process knowledge through targeted queries and systematically
integrate it into event logs. This study presents a novel approach combining LLMs,
knowledge management, and process mining, advancing the understanding and management
of KIPs by enhancing knowledge accessibility and documentation.
author:
- first_name: Katharina
full_name: Brennig, Katharina
last_name: Brennig
citation:
ama: 'Brennig K. Revealing the Unspoken: Using LLMs to Mobilize and Enrich Tacit
Knowledge in Event Logs of Knowledge-Intensive Processes. In: AMCIS 2025 Proceedings.
11. ; 2025.'
apa: 'Brennig, K. (2025). Revealing the Unspoken: Using LLMs to Mobilize and Enrich
Tacit Knowledge in Event Logs of Knowledge-Intensive Processes. AMCIS 2025
Proceedings. 11. Americas Conference on Information Systems, Montréal.'
bibtex: '@inproceedings{Brennig_2025, title={Revealing the Unspoken: Using LLMs
to Mobilize and Enrich Tacit Knowledge in Event Logs of Knowledge-Intensive Processes},
booktitle={AMCIS 2025 Proceedings. 11.}, author={Brennig, Katharina}, year={2025}
}'
chicago: 'Brennig, Katharina. “Revealing the Unspoken: Using LLMs to Mobilize and
Enrich Tacit Knowledge in Event Logs of Knowledge-Intensive Processes.” In AMCIS
2025 Proceedings. 11., 2025.'
ieee: 'K. Brennig, “Revealing the Unspoken: Using LLMs to Mobilize and Enrich Tacit
Knowledge in Event Logs of Knowledge-Intensive Processes,” presented at the Americas
Conference on Information Systems, Montréal, 2025.'
mla: 'Brennig, Katharina. “Revealing the Unspoken: Using LLMs to Mobilize and Enrich
Tacit Knowledge in Event Logs of Knowledge-Intensive Processes.” AMCIS 2025
Proceedings. 11., 2025.'
short: 'K. Brennig, in: AMCIS 2025 Proceedings. 11., 2025.'
conference:
end_date: 2025-08-16
location: Montréal
name: Americas Conference on Information Systems
start_date: 2025-08-14
date_created: 2025-08-20T07:03:37Z
date_updated: 2025-08-20T07:06:16Z
department:
- _id: '196'
keyword:
- Process Mining
- Large Language Model
- Knowledge Management
- Knowledge-Intensive Process
- Tacit Knowledge
language:
- iso: eng
main_file_link:
- url: https://aisel.aisnet.org/amcis2025/sig_svc/sig_svc/11/
publication: AMCIS 2025 Proceedings. 11.
related_material:
link:
- relation: confirmation
url: https://aisel.aisnet.org/amcis2025/sig_svc/sig_svc/11/
status: public
title: 'Revealing the Unspoken: Using LLMs to Mobilize and Enrich Tacit Knowledge
in Event Logs of Knowledge-Intensive Processes'
type: conference
user_id: '51905'
year: '2025'
...
---
_id: '61432'
abstract:
- lang: eng
text: 'This study investigated how action histories – unfolding sequences of actions
with objects – provide a context for both attentional allocation and linguistic
repair strategies. Building on theories of enactive cognition and sensorimotor
contingency theory, we experimentally manipulated action sequences (action history)
to create either simple or rich “situational models,” and investigated how these
models interact with attention and reflect in linguistic processes during human–robot
interaction. Participants (N = 30) engaged in a controlled object placement task
with a humanoid robot, where the action (manner) information was either provided
or omitted. The omission elicited repair behaviors in participants that were in
focus of our investigation. For rich models (competing action possibilities) participants
demonstrated: a) increased attentional reorientation, reflecting active engagement
with the situational model b) preference for restricted repairs, targeting the
specific source of trouble in action selection. Conversely, a simple situational
model led to more generalized attention patterns and open repair strategies, suggesting
weaker constraints on internal processing. These findings highlight how situational
structures emerge externally to scaffold internal cognitive processes, with action
histories serving as a crucial context for the interface between perception, action,
and language. We discuss how to implement such a tight loop in the assistance
of a system.'
author:
- first_name: Amit
full_name: Singh, Amit
id: '91018'
last_name: Singh
orcid: 0000-0002-7789-1521
- first_name: Katharina J.
full_name: Rohlfing, Katharina J.
id: '50352'
last_name: Rohlfing
orcid: 0000-0002-5676-8233
citation:
ama: 'Singh A, Rohlfing KJ. Manners Matter: Action history guides attention and
repair choices during interaction. In: IEEE International Conference on Development
and Learning (ICDL). ; 2025. doi:10.31234/osf.io/yn2we_v1'
apa: 'Singh, A., & Rohlfing, K. J. (2025). Manners Matter: Action history guides
attention and repair choices during interaction. IEEE International Conference
on Development and Learning (ICDL). IEEE International Conference on Development
and Learning (ICDL), Prague. https://doi.org/10.31234/osf.io/yn2we_v1'
bibtex: '@inproceedings{Singh_Rohlfing_2025, place={ Prague}, title={Manners Matter:
Action history guides attention and repair choices during interaction}, DOI={10.31234/osf.io/yn2we_v1},
booktitle={IEEE International Conference on Development and Learning (ICDL)},
author={Singh, Amit and Rohlfing, Katharina J.}, year={2025} }'
chicago: 'Singh, Amit, and Katharina J. Rohlfing. “Manners Matter: Action History
Guides Attention and Repair Choices during Interaction.” In IEEE International
Conference on Development and Learning (ICDL). Prague, 2025. https://doi.org/10.31234/osf.io/yn2we_v1.'
ieee: 'A. Singh and K. J. Rohlfing, “Manners Matter: Action history guides attention
and repair choices during interaction,” presented at the IEEE International Conference
on Development and Learning (ICDL), Prague, 2025, doi: 10.31234/osf.io/yn2we_v1.'
mla: 'Singh, Amit, and Katharina J. Rohlfing. “Manners Matter: Action History Guides
Attention and Repair Choices during Interaction.” IEEE International Conference
on Development and Learning (ICDL), 2025, doi:10.31234/osf.io/yn2we_v1.'
short: 'A. Singh, K.J. Rohlfing, in: IEEE International Conference on Development
and Learning (ICDL), Prague, 2025.'
conference:
end_date: 2025-09-19
location: Prague
name: IEEE International Conference on Development and Learning (ICDL)
start_date: 2025-09-15
date_created: 2025-09-24T12:32:52Z
date_updated: 2025-09-24T12:39:25Z
department:
- _id: '749'
- _id: '660'
doi: 10.31234/osf.io/yn2we_v1
keyword:
- Attention
- Action
- Repairs
- Task model
- HRI
- Eyemovement
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.31234/osf.io/yn2we_v1
oa: '1'
place: ' Prague'
project:
- _id: '115'
name: 'TRR 318; TP A05: Echtzeitmessung der Aufmerksamkeit im Mensch-Roboter-Erklärdialog'
publication: IEEE International Conference on Development and Learning (ICDL)
publication_status: published
quality_controlled: '1'
status: public
title: 'Manners Matter: Action history guides attention and repair choices during
interaction'
type: conference
user_id: '91018'
year: '2025'
...
---
_id: '62701'
abstract:
- lang: eng
text: 'Learning continuous vector representations for knowledge graphs has
significantly improved state-of-the-art performances in many challenging tasks.
Yet, deep-learning-based models are only post-hoc and locally explainable. In
contrast, learning Web Ontology Language (OWL) class expressions in Description Logics (DLs) is ante-hoc and globally
explainable. However, state-of-the-art learners have two well-known lim-itations: scaling to large knowledge graphs and handling missing infor-mation. Here, we present a decision-tree-based learner (tDL) to learn
Web Ontology Languages (OWLs) class expressions over large knowl-edge
graphs, while imputing missing triples. Given positive and negative example individuals,
tDL firstly constructs unique OWL expressions in .SHOIN from concise bounded descriptions of individuals. Each OWL
class expression is used as a feature in a binary classification problem to represent
input individuals. Thereafter, tDL fits a CART decision tree to learn Boolean
decision rules distinguishing positive examples from nega-tive examples. A final
OWL expression in.SHOIN is built by traversing the built CART decision tree from the root node to leaf nodes for each
positive example. By this, tDL can learn OWL class expressions without exploration,
i.e., the number of queries to a knowledge graph is bounded by the number of input
individuals. Our empirical results show that tDL outperforms the current state-of-the-art models across
datasets. Impor-tantly, our experiments over a large knowledge graph (DBpedia
with 1.1 billion triples) show that tDL can effectively learn accurate OWL class
expressions, while the state-of-the-art models fail to return any results.
Finally, expressions learned by tDL can be seamlessly translated into
natural language explanations using a pre-trained large language model and a DL
verbalizer.'
author:
- first_name: Caglar
full_name: Demir, Caglar
last_name: Demir
- first_name: Moshood
full_name: Yekini, Moshood
last_name: Yekini
- first_name: Michael
full_name: Röder, Michael
last_name: Röder
- first_name: Yasir
full_name: Mahmood, Yasir
last_name: Mahmood
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
last_name: Ngonga Ngomo
citation:
ama: 'Demir C, Yekini M, Röder M, Mahmood Y, Ngonga Ngomo A-C. Tree-Based OWL Class
Expression Learner over Large Graphs. In: Lecture Notes in Computer Science.
Springer Nature Switzerland; 2025. doi:10.1007/978-3-032-06066-2_29'
apa: Demir, C., Yekini, M., Röder, M., Mahmood, Y., & Ngonga Ngomo, A.-C. (2025).
Tree-Based OWL Class Expression Learner over Large Graphs. In Lecture Notes
in Computer Science. European Conference on Machine Learning and Principles
and Practice of Knowledge Discovery in Databases - ECML PKDD, Porto, Portugal.
Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-06066-2_29
bibtex: '@inbook{Demir_Yekini_Röder_Mahmood_Ngonga Ngomo_2025, place={Cham}, title={Tree-Based
OWL Class Expression Learner over Large Graphs}, DOI={10.1007/978-3-032-06066-2_29},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Demir, Caglar and Yekini, Moshood and Röder, Michael and Mahmood, Yasir
and Ngonga Ngomo, Axel-Cyrille}, year={2025} }'
chicago: 'Demir, Caglar, Moshood Yekini, Michael Röder, Yasir Mahmood, and Axel-Cyrille
Ngonga Ngomo. “Tree-Based OWL Class Expression Learner over Large Graphs.” In
Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2025.
https://doi.org/10.1007/978-3-032-06066-2_29.'
ieee: 'C. Demir, M. Yekini, M. Röder, Y. Mahmood, and A.-C. Ngonga Ngomo, “Tree-Based
OWL Class Expression Learner over Large Graphs,” in Lecture Notes in Computer
Science, Cham: Springer Nature Switzerland, 2025.'
mla: Demir, Caglar, et al. “Tree-Based OWL Class Expression Learner over Large Graphs.”
Lecture Notes in Computer Science, Springer Nature Switzerland, 2025, doi:10.1007/978-3-032-06066-2_29.
short: 'C. Demir, M. Yekini, M. Röder, Y. Mahmood, A.-C. Ngonga Ngomo, in: Lecture
Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.'
conference:
end_date: 2025-09-19
location: Porto, Portugal
name: European Conference on Machine Learning and Principles and Practice of Knowledge
Discovery in Databases - ECML PKDD
start_date: 2025-09-15
date_created: 2025-11-28T14:09:17Z
date_updated: 2025-11-28T14:57:39Z
department:
- _id: '34'
- _id: '574'
doi: 10.1007/978-3-032-06066-2_29
keyword:
- Decision Tree
- OWL Class Expression Learning
- Description Logic
- Knowledge Graph
- Large Language Model
- Verbalizer
language:
- iso: eng
place: Cham
project:
- _id: '285'
name: SAIL - Nachhaltiger Lebenszyklus von intelligenten soziotechnischen Systemen
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783032060655'
- '9783032060662'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Tree-Based OWL Class Expression Learner over Large Graphs
type: book_chapter
user_id: '114533'
year: '2025'
...
---
_id: '62937'
abstract:
- lang: eng
text: Sandwich packings are assembled from two conventional structured packings
with different geometrical surface areas stacked alternatingly within a separation
column. When operated under partially flooded conditions, they provide significant
mass transfer improvement compared to common structured packings. In this work,
a rate-based model including novel mass transfer correlations is presented and
validated using a comprehensive experimental database for the reactive absorption
of CO2 into aqueous monoethanolamine. The proposed rate-based approach is capable
of accounting for axial dispersion, thereby enabling the evaluation of the effect
of liquid-phase backmixing on the mass transfer performance. The validated rate-based
model is used to evaluate the separation performance of sandwich packings. Compared
with structured packings, up to 10 % higher mass transfer rates are obtained.
article_number: '122681'
article_type: original
author:
- first_name: Patrick
full_name: Franke, Patrick
id: '93922'
last_name: Franke
- first_name: Markus
full_name: Schubert, Markus
last_name: Schubert
- first_name: Uwe
full_name: Hampel, Uwe
last_name: Hampel
- first_name: Eugeny Y.
full_name: Kenig, Eugeny Y.
id: '665'
last_name: Kenig
citation:
ama: Franke P, Schubert M, Hampel U, Kenig EY. A rate-based model for reactive separation
columns with sandwich packings. Chemical Engineering Science. 2025;321.
doi:10.1016/j.ces.2025.122681
apa: Franke, P., Schubert, M., Hampel, U., & Kenig, E. Y. (2025). A rate-based
model for reactive separation columns with sandwich packings. Chemical Engineering
Science, 321, Article 122681. https://doi.org/10.1016/j.ces.2025.122681
bibtex: '@article{Franke_Schubert_Hampel_Kenig_2025, title={A rate-based model for
reactive separation columns with sandwich packings}, volume={321}, DOI={10.1016/j.ces.2025.122681},
number={122681}, journal={Chemical Engineering Science}, publisher={Elsevier BV},
author={Franke, Patrick and Schubert, Markus and Hampel, Uwe and Kenig, Eugeny
Y.}, year={2025} }'
chicago: Franke, Patrick, Markus Schubert, Uwe Hampel, and Eugeny Y. Kenig. “A Rate-Based
Model for Reactive Separation Columns with Sandwich Packings.” Chemical Engineering
Science 321 (2025). https://doi.org/10.1016/j.ces.2025.122681.
ieee: 'P. Franke, M. Schubert, U. Hampel, and E. Y. Kenig, “A rate-based model for
reactive separation columns with sandwich packings,” Chemical Engineering Science,
vol. 321, Art. no. 122681, 2025, doi: 10.1016/j.ces.2025.122681.'
mla: Franke, Patrick, et al. “A Rate-Based Model for Reactive Separation Columns
with Sandwich Packings.” Chemical Engineering Science, vol. 321, 122681,
Elsevier BV, 2025, doi:10.1016/j.ces.2025.122681.
short: P. Franke, M. Schubert, U. Hampel, E.Y. Kenig, Chemical Engineering Science
321 (2025).
date_created: 2025-12-08T07:40:18Z
date_updated: 2025-12-08T07:45:19Z
department:
- _id: '831'
doi: 10.1016/j.ces.2025.122681
intvolume: ' 321'
keyword:
- Sandwich packings Structured packings Rate-based approach Model validation Ultra-fast
X-ray tomography
language:
- iso: eng
publication: Chemical Engineering Science
publication_identifier:
issn:
- 0009-2509
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: A rate-based model for reactive separation columns with sandwich packings
type: journal_article
user_id: '93922'
volume: 321
year: '2025'
...
---
_id: '63019'
author:
- first_name: Johannes Aurelius Tamino
full_name: Donner, Johannes Aurelius Tamino
id: '72054'
last_name: Donner
orcid: 0009-0007-4757-4393
- first_name: Alexander
full_name: Schlüter, Alexander
id: '103302'
last_name: Schlüter
orcid: 0000-0002-2569-1624
citation:
ama: 'Donner JAT, Schlüter A. Development of an AI-driven decentralized control
for fifth generation district heating and cooling networks. In: SDEWES Conference
2025. ; 2025.'
apa: Donner, J. A. T., & Schlüter, A. (2025). Development of an AI-driven decentralized
control for fifth generation district heating and cooling networks. SDEWES
Conference 2025. 20th SDEWES Conference, Dubrovnik.
bibtex: '@inproceedings{Donner_Schlüter_2025, title={Development of an AI-driven
decentralized control for fifth generation district heating and cooling networks},
booktitle={SDEWES Conference 2025}, author={Donner, Johannes Aurelius Tamino and
Schlüter, Alexander}, year={2025} }'
chicago: Donner, Johannes Aurelius Tamino, and Alexander Schlüter. “Development
of an AI-Driven Decentralized Control for Fifth Generation District Heating and
Cooling Networks.” In SDEWES Conference 2025, 2025.
ieee: J. A. T. Donner and A. Schlüter, “Development of an AI-driven decentralized
control for fifth generation district heating and cooling networks,” presented
at the 20th SDEWES Conference, Dubrovnik, 2025.
mla: Donner, Johannes Aurelius Tamino, and Alexander Schlüter. “Development of an
AI-Driven Decentralized Control for Fifth Generation District Heating and Cooling
Networks.” SDEWES Conference 2025, 2025.
short: 'J.A.T. Donner, A. Schlüter, in: SDEWES Conference 2025, 2025.'
conference:
end_date: 10.10.2025
location: Dubrovnik
name: 20th SDEWES Conference
start_date: 05.10.2025
date_created: 2025-12-10T12:30:59Z
date_updated: 2026-01-06T07:53:40Z
department:
- _id: '876'
- _id: '321'
- _id: '9'
- _id: '393'
keyword:
- 5GDHC
- district heating
- DHC
- waste heat
- AI-Driven
language:
- iso: eng
publication: SDEWES Conference 2025
status: public
title: Development of an AI-driven decentralized control for fifth generation district
heating and cooling networks
type: conference_abstract
user_id: '103302'
year: '2025'
...
---
_id: '62149'
abstract:
- lang: eng
text: The increasing complexity of technical systems requires early, structured
verification and validation (V&V). Existing metadata models only map parts of
the engineering process and do not enable a continuous chain of effects from requirements
to test results. The aim of this publication is to develop a holistic V&V metadata
model for the consistent, transparent and machine-processable description and
linking of relevant engineering artifacts. In a five-stage research approach,
essential model components are derived from literature and are integrated into
a holistic model. Initial applications as part of a European research project
show the potential of the model for a well-founded effect chain analysis and decision-supporting
V&V processes.
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Marcel
full_name: Ebel, Marcel
id: '81788'
last_name: Ebel
orcid: https://orcid.org/0009-0007-5400-4436
citation:
ama: 'Gräßler I, Ebel M. Ganzheitliches Metadatenmodel für die Verifikation und
Validierung in der Entwicklung komplexer technischer Systeme. In: DS 140: Proceedings
of the 36th Symposium Design for X (DFX2025). The Design Society; 2025. doi:10.35199/dfx2025.09'
apa: 'Gräßler, I., & Ebel, M. (2025). Ganzheitliches Metadatenmodel für die
Verifikation und Validierung in der Entwicklung komplexer technischer Systeme.
DS 140: Proceedings of the 36th Symposium Design for X (DFX2025). 36th
Design for X Symposium (DFX 2025), Hamburg. https://doi.org/10.35199/dfx2025.09'
bibtex: '@inproceedings{Gräßler_Ebel_2025, title={Ganzheitliches Metadatenmodel
für die Verifikation und Validierung in der Entwicklung komplexer technischer
Systeme}, DOI={10.35199/dfx2025.09},
booktitle={DS 140: Proceedings of the 36th Symposium Design for X (DFX2025)},
publisher={The Design Society}, author={Gräßler, Iris and Ebel, Marcel}, year={2025}
}'
chicago: 'Gräßler, Iris, and Marcel Ebel. “Ganzheitliches Metadatenmodel Für Die
Verifikation Und Validierung in Der Entwicklung Komplexer Technischer Systeme.”
In DS 140: Proceedings of the 36th Symposium Design for X (DFX2025). The
Design Society, 2025. https://doi.org/10.35199/dfx2025.09.'
ieee: 'I. Gräßler and M. Ebel, “Ganzheitliches Metadatenmodel für die Verifikation
und Validierung in der Entwicklung komplexer technischer Systeme,” presented at
the 36th Design for X Symposium (DFX 2025), Hamburg, 2025, doi: 10.35199/dfx2025.09.'
mla: 'Gräßler, Iris, and Marcel Ebel. “Ganzheitliches Metadatenmodel Für Die Verifikation
Und Validierung in Der Entwicklung Komplexer Technischer Systeme.” DS 140:
Proceedings of the 36th Symposium Design for X (DFX2025), The Design Society,
2025, doi:10.35199/dfx2025.09.'
short: 'I. Gräßler, M. Ebel, in: DS 140: Proceedings of the 36th Symposium Design
for X (DFX2025), The Design Society, 2025.'
conference:
end_date: 2025-09-12
location: Hamburg
name: 36th Design for X Symposium (DFX 2025)
start_date: 2025-09-11
date_created: 2025-11-10T08:37:55Z
date_updated: 2026-03-30T11:41:01Z
department:
- _id: '152'
doi: 10.35199/dfx2025.09
keyword:
- verification
- metadata model
- Systems Engineering
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
publication: 'DS 140: Proceedings of the 36th Symposium Design for X (DFX2025)'
publication_status: published
publisher: The Design Society
quality_controlled: '1'
status: public
title: Ganzheitliches Metadatenmodel für die Verifikation und Validierung in der Entwicklung
komplexer technischer Systeme
type: conference
user_id: '81788'
year: '2025'
...
---
_id: '53793'
abstract:
- lang: eng
text: We utilize extreme learning machines for the prediction of partial differential
equations (PDEs). Our method splits the state space into multiple windows that
are predicted individually using a single model. Despite requiring only few data
points (in some cases, our method can learn from a single full-state snapshot),
it still achieves high accuracy and can predict the flow of PDEs over long time
horizons. Moreover, we show how additional symmetries can be exploited to increase
sample efficiency and to enforce equivariance.
author:
- first_name: Hans
full_name: Harder, Hans
id: '98879'
last_name: Harder
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
citation:
ama: Harder H, Peitz S. Predicting PDEs Fast and Efficiently with Equivariant Extreme
Learning Machines.
apa: Harder, H., & Peitz, S. (n.d.). Predicting PDEs Fast and Efficiently
with Equivariant Extreme Learning Machines.
bibtex: '@article{Harder_Peitz, title={Predicting PDEs Fast and Efficiently with
Equivariant Extreme Learning Machines}, author={Harder, Hans and Peitz, Sebastian}
}'
chicago: Harder, Hans, and Sebastian Peitz. “Predicting PDEs Fast and Efficiently
with Equivariant Extreme Learning Machines,” n.d.
ieee: H. Harder and S. Peitz, “Predicting PDEs Fast and Efficiently with Equivariant
Extreme Learning Machines.” .
mla: Harder, Hans, and Sebastian Peitz. Predicting PDEs Fast and Efficiently
with Equivariant Extreme Learning Machines.
short: H. Harder, S. Peitz, (n.d.).
date_created: 2024-04-30T08:43:14Z
date_updated: 2024-04-30T08:45:24Z
keyword:
- extreme learning machines
- partial differential equations
- data-driven prediction
- high-dimensional systems
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2404.18530
oa: '1'
publication_status: unpublished
status: public
title: Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines
type: preprint
user_id: '98879'
year: '2024'
...
---
_id: '54807'
abstract:
- lang: eng
text: "This paper considers the shape formation problem within the 3D hybrid model,
where a single agent with a strictly limited viewing range and the computational
capacity of a deterministic finite automaton manipulates passive tiles through
pick-up, movement, and placement actions. The goal is to reconfigure a set of
tiles into a specific shape termed an icicle. The icicle, identified as a dense,
hole-free structure, is strategically chosen to function as an intermediate shape
for more intricate shape formation tasks. It is designed for easy exploration
by a finite state agent, enabling the identification of tiles that can be lifted
without breaking connectivity. Compared to the line shape, the icicle presents
distinct advantages, including a reduced diameter and the presence of multiple
removable tiles. We propose an algorithm that transforms an arbitrary initially
connected tile structure into an icicle in \U0001D4AA(n³) steps, matching the
runtime of the line formation algorithm from prior work. Our theoretical contribution
is accompanied by an extensive experimental analysis, indicating that our algorithm
decreases the diameter of tile structures on average."
author:
- first_name: Kristian
full_name: Hinnenthal, Kristian
id: '32229'
last_name: Hinnenthal
- first_name: David Jan
full_name: Liedtke, David Jan
id: '55557'
last_name: Liedtke
- first_name: Christian
full_name: Scheideler, Christian
id: '20792'
last_name: Scheideler
citation:
ama: 'Hinnenthal K, Liedtke DJ, Scheideler C. Efficient Shape Formation by 3D Hybrid
Programmable Matter: An Algorithm for Low Diameter Intermediate Structures. In:
Casteigts A, Kuhn F, eds. 3rd Symposium on Algorithmic Foundations of Dynamic
Networks (SAND 2024). Vol 292. Leibniz International Proceedings in Informatics
(LIPIcs). Schloss Dagstuhl – Leibniz-Zentrum für Informatik; 2024:15:1–15:20.
doi:10.4230/LIPIcs.SAND.2024.15'
apa: 'Hinnenthal, K., Liedtke, D. J., & Scheideler, C. (2024). Efficient Shape
Formation by 3D Hybrid Programmable Matter: An Algorithm for Low Diameter Intermediate
Structures. In A. Casteigts & F. Kuhn (Eds.), 3rd Symposium on Algorithmic
Foundations of Dynamic Networks (SAND 2024) (Vol. 292, p. 15:1–15:20). Schloss
Dagstuhl – Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.SAND.2024.15'
bibtex: '@inproceedings{Hinnenthal_Liedtke_Scheideler_2024, place={Dagstuhl, Germany},
series={Leibniz International Proceedings in Informatics (LIPIcs)}, title={Efficient
Shape Formation by 3D Hybrid Programmable Matter: An Algorithm for Low Diameter
Intermediate Structures}, volume={292}, DOI={10.4230/LIPIcs.SAND.2024.15},
booktitle={3rd Symposium on Algorithmic Foundations of Dynamic Networks (SAND
2024)}, publisher={Schloss Dagstuhl – Leibniz-Zentrum für Informatik}, author={Hinnenthal,
Kristian and Liedtke, David Jan and Scheideler, Christian}, editor={Casteigts,
Arnaud and Kuhn, Fabian}, year={2024}, pages={15:1–15:20}, collection={Leibniz
International Proceedings in Informatics (LIPIcs)} }'
chicago: 'Hinnenthal, Kristian, David Jan Liedtke, and Christian Scheideler. “Efficient
Shape Formation by 3D Hybrid Programmable Matter: An Algorithm for Low Diameter
Intermediate Structures.” In 3rd Symposium on Algorithmic Foundations of Dynamic
Networks (SAND 2024), edited by Arnaud Casteigts and Fabian Kuhn, 292:15:1–15:20.
Leibniz International Proceedings in Informatics (LIPIcs). Dagstuhl, Germany:
Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2024. https://doi.org/10.4230/LIPIcs.SAND.2024.15.'
ieee: 'K. Hinnenthal, D. J. Liedtke, and C. Scheideler, “Efficient Shape Formation
by 3D Hybrid Programmable Matter: An Algorithm for Low Diameter Intermediate Structures,”
in 3rd Symposium on Algorithmic Foundations of Dynamic Networks (SAND 2024),
2024, vol. 292, p. 15:1–15:20, doi: 10.4230/LIPIcs.SAND.2024.15.'
mla: 'Hinnenthal, Kristian, et al. “Efficient Shape Formation by 3D Hybrid Programmable
Matter: An Algorithm for Low Diameter Intermediate Structures.” 3rd Symposium
on Algorithmic Foundations of Dynamic Networks (SAND 2024), edited by Arnaud
Casteigts and Fabian Kuhn, vol. 292, Schloss Dagstuhl – Leibniz-Zentrum für Informatik,
2024, p. 15:1–15:20, doi:10.4230/LIPIcs.SAND.2024.15.'
short: 'K. Hinnenthal, D.J. Liedtke, C. Scheideler, in: A. Casteigts, F. Kuhn (Eds.),
3rd Symposium on Algorithmic Foundations of Dynamic Networks (SAND 2024), Schloss
Dagstuhl – Leibniz-Zentrum für Informatik, Dagstuhl, Germany, 2024, p. 15:1–15:20.'
date_created: 2024-06-18T07:45:34Z
date_updated: 2024-07-18T09:32:49Z
department:
- _id: '79'
doi: 10.4230/LIPIcs.SAND.2024.15
editor:
- first_name: Arnaud
full_name: Casteigts, Arnaud
last_name: Casteigts
- first_name: Fabian
full_name: Kuhn, Fabian
last_name: Kuhn
intvolume: ' 292'
keyword:
- Programmable Matter
- Shape Formation
- 3D Model
- Finite Automaton
language:
- iso: eng
page: 15:1–15:20
place: Dagstuhl, Germany
publication: 3rd Symposium on Algorithmic Foundations of Dynamic Networks (SAND 2024)
publication_identifier:
isbn:
- 978-3-95977-315-7
issn:
- 1868-8969
publisher: Schloss Dagstuhl – Leibniz-Zentrum für Informatik
series_title: Leibniz International Proceedings in Informatics (LIPIcs)
status: public
title: 'Efficient Shape Formation by 3D Hybrid Programmable Matter: An Algorithm for
Low Diameter Intermediate Structures'
type: conference
user_id: '55557'
volume: 292
year: '2024'
...
---
_id: '53811'
abstract:
- lang: eng
text: Persistent security challenges plague DevOps teams due to a deficiency in
expertise regarding security tools and methods, as evidenced by frequent security
incidents. Existing maturity models fail to adequately address the specific needs
of DevOps teams. In response, this paper proposes "Security Belts," a novel maturity
model inspired by martial arts ranking systems. This model aims to assist DevOps
teams in enhancing their security capabilities by providing a structured approach,
starting with fundamental activities and progressing to more advanced techniques.
Drawing from the experiences of monitoring 21 teams, the paper presents lessons
learned and offers actionable advice for refining maturity models tailored to
software quality improvement.
author:
- first_name: Samira
full_name: Taaibi, Samira
id: '55800'
last_name: Taaibi
- first_name: Stefan
full_name: Dziwok, Stefan
id: '3901'
last_name: Dziwok
orcid: http://orcid.org/0000-0002-8679-6673
- first_name: Lars
full_name: Hermerschmidt, Lars
last_name: Hermerschmidt
- first_name: Thorsten
full_name: Koch, Thorsten
id: '13616'
last_name: Koch
- first_name: Sven
full_name: Merschjohann, Sven
id: '11394'
last_name: Merschjohann
- first_name: Mark
full_name: Vollmary, Mark
last_name: Vollmary
citation:
ama: 'Taaibi S, Dziwok S, Hermerschmidt L, Koch T, Merschjohann S, Vollmary M. Security
Belts: A Maturity Model for DevOps Teams to Increase the Software Security of
their Product - An Experience Report.'
apa: 'Taaibi, S., Dziwok, S., Hermerschmidt, L., Koch, T., Merschjohann, S., &
Vollmary, M. (n.d.). Security Belts: A Maturity Model for DevOps Teams to Increase
the Software Security of their Product - An Experience Report. 30th Americas
Conference on Information Systems, Salt Lake City.'
bibtex: '@inproceedings{Taaibi_Dziwok_Hermerschmidt_Koch_Merschjohann_Vollmary,
title={Security Belts: A Maturity Model for DevOps Teams to Increase the Software
Security of their Product - An Experience Report}, author={Taaibi, Samira and
Dziwok, Stefan and Hermerschmidt, Lars and Koch, Thorsten and Merschjohann, Sven
and Vollmary, Mark} }'
chicago: 'Taaibi, Samira, Stefan Dziwok, Lars Hermerschmidt, Thorsten Koch, Sven
Merschjohann, and Mark Vollmary. “Security Belts: A Maturity Model for DevOps
Teams to Increase the Software Security of Their Product - An Experience Report,”
n.d.'
ieee: 'S. Taaibi, S. Dziwok, L. Hermerschmidt, T. Koch, S. Merschjohann, and M.
Vollmary, “Security Belts: A Maturity Model for DevOps Teams to Increase the Software
Security of their Product - An Experience Report,” presented at the 30th Americas
Conference on Information Systems, Salt Lake City.'
mla: 'Taaibi, Samira, et al. Security Belts: A Maturity Model for DevOps Teams
to Increase the Software Security of Their Product - An Experience Report.'
short: 'S. Taaibi, S. Dziwok, L. Hermerschmidt, T. Koch, S. Merschjohann, M. Vollmary,
in: n.d.'
conference:
end_date: 2024-08-17
location: Salt Lake City
name: ' 30th Americas Conference on Information Systems'
start_date: 2024-08-15
date_created: 2024-05-02T08:57:52Z
date_updated: 2024-08-09T08:55:49Z
ddc:
- '000'
department:
- _id: '662'
file:
- access_level: closed
content_type: application/pdf
creator: staaibi
date_created: 2024-05-02T08:54:21Z
date_updated: 2024-05-02T08:54:21Z
file_id: '53812'
file_name: AMCIS2024_final_submission_maturity model security belt paper.pdf
file_size: 540990
relation: main_file
success: 1
file_date_updated: 2024-05-02T08:54:21Z
has_accepted_license: '1'
keyword:
- Software security
- maturity model
language:
- iso: eng
publication_status: accepted
status: public
title: 'Security Belts: A Maturity Model for DevOps Teams to Increase the Software
Security of their Product - An Experience Report'
type: conference
user_id: '55800'
year: '2024'
...
---
_id: '56166'
abstract:
- lang: eng
text: Developing Intelligent Technical Systems (ITS) involves a complex process
encompassing planning, analysis, design, production, and maintenance. Model-Based
Systems Engineering (MBSE) is a key methodology for systematic systems engineering.
Designing models for ITS requires harmonious interaction of various elements,
posing a challenge in MBSE. Leveraging Generative Artificial Intelligence, we
generated a dataset for modeling, using prompt engineering on large language models.
The generated artifacts can aid engineers in MBSE design or serve as synthetic
training data for AI assistants.
author:
- first_name: Pranav Jayant
full_name: Kulkarni, Pranav Jayant
id: '86782'
last_name: Kulkarni
- first_name: Denis
full_name: Tissen, Denis
id: '44458'
last_name: Tissen
- first_name: Ruslan
full_name: Bernijazov, Ruslan
id: '36312'
last_name: Bernijazov
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Kulkarni PJ, Tissen D, Bernijazov R, Dumitrescu R. Towards Automated Design:
Automatically Generating Modeling Elements with Prompt Engineering and Generative
Artificial Intelligence. In: Malmqvist J, Candi M, Saemundsson R, Bystrom F, Isaksson
O, eds. DS 130: Proceedings of NordDesign 2024. ; 2024:617-625. doi:10.35199/NORDDESIGN2024.66'
apa: 'Kulkarni, P. J., Tissen, D., Bernijazov, R., & Dumitrescu, R. (2024).
Towards Automated Design: Automatically Generating Modeling Elements with Prompt
Engineering and Generative Artificial Intelligence. In J. Malmqvist, M. Candi,
R. Saemundsson, F. Bystrom, & O. Isaksson (Eds.), DS 130: Proceedings of
NordDesign 2024 (pp. 617–625). https://doi.org/10.35199/NORDDESIGN2024.66'
bibtex: '@inproceedings{Kulkarni_Tissen_Bernijazov_Dumitrescu_2024, title={Towards
Automated Design: Automatically Generating Modeling Elements with Prompt Engineering
and Generative Artificial Intelligence}, DOI={10.35199/NORDDESIGN2024.66},
booktitle={DS 130: Proceedings of NordDesign 2024}, author={Kulkarni, Pranav Jayant
and Tissen, Denis and Bernijazov, Ruslan and Dumitrescu, Roman}, editor={Malmqvist,
J. and Candi, M. and Saemundsson, R. and Bystrom, F. and Isaksson, O.}, year={2024},
pages={617–625} }'
chicago: 'Kulkarni, Pranav Jayant, Denis Tissen, Ruslan Bernijazov, and Roman Dumitrescu.
“Towards Automated Design: Automatically Generating Modeling Elements with Prompt
Engineering and Generative Artificial Intelligence.” In DS 130: Proceedings
of NordDesign 2024, edited by J. Malmqvist, M. Candi, R. Saemundsson, F. Bystrom,
and O. Isaksson, 617–25, 2024. https://doi.org/10.35199/NORDDESIGN2024.66.'
ieee: 'P. J. Kulkarni, D. Tissen, R. Bernijazov, and R. Dumitrescu, “Towards Automated
Design: Automatically Generating Modeling Elements with Prompt Engineering and
Generative Artificial Intelligence,” in DS 130: Proceedings of NordDesign 2024,
Reykjavik, 2024, pp. 617–625, doi: 10.35199/NORDDESIGN2024.66.'
mla: 'Kulkarni, Pranav Jayant, et al. “Towards Automated Design: Automatically Generating
Modeling Elements with Prompt Engineering and Generative Artificial Intelligence.”
DS 130: Proceedings of NordDesign 2024, edited by J. Malmqvist et al.,
2024, pp. 617–25, doi:10.35199/NORDDESIGN2024.66.'
short: 'P.J. Kulkarni, D. Tissen, R. Bernijazov, R. Dumitrescu, in: J. Malmqvist,
M. Candi, R. Saemundsson, F. Bystrom, O. Isaksson (Eds.), DS 130: Proceedings
of NordDesign 2024, 2024, pp. 617–625.'
conference:
end_date: 2024-08-14
location: Reykjavik
name: NordDesign Conference 2024
start_date: 2024-08-12
date_created: 2024-09-17T09:56:43Z
date_updated: 2024-09-17T09:57:07Z
doi: 10.35199/NORDDESIGN2024.66
editor:
- first_name: J.
full_name: Malmqvist, J.
last_name: Malmqvist
- first_name: M.
full_name: Candi, M.
last_name: Candi
- first_name: R.
full_name: Saemundsson, R.
last_name: Saemundsson
- first_name: F.
full_name: Bystrom, F.
last_name: Bystrom
- first_name: O.
full_name: Isaksson, O.
last_name: Isaksson
keyword:
- Data Driven Design
- Design Automation
- Systems Engineering (SE)
- Artificial Intelligence (AI)
language:
- iso: eng
page: 617-625
publication: 'DS 130: Proceedings of NordDesign 2024'
publication_identifier:
unknown:
- 978-1-912254-21-7
publication_status: epub_ahead
related_material:
link:
- relation: confirmation
url: https://www.designsociety.org/publication/47658/Towards+Automated+Design%3A+Automatically+Generating+Modeling+Elements+with+Prompt+Engineering+and+Generative+Artificial+Intelligence
status: public
title: 'Towards Automated Design: Automatically Generating Modeling Elements with
Prompt Engineering and Generative Artificial Intelligence'
type: conference
user_id: '86782'
year: '2024'
...
---
_id: '54552'
abstract:
- lang: ger
text: Die vorliegende Dissertation beschreibt das Konzept und den Entwicklungsprozess
eines Lichtsignalanlagenregelungssystems bis zur Realumsetzung. Das Regelungssystem,
welches im Rahmen des Pilotprojekts Schlosskreuzung entstanden ist, besteht dabei
aus zwei untereinander abgestimmten Methoden zur Echtzeit-Verkehrsrekonstruktion
und zur modellprädiktiven Regelung des Verkehrssystems anhand der vorhandenen
Lichtsignalanlagen. Die Echtzeit-Verkehrsrekonstruktion approximiert dabei simulationsbasiert
den aktuellen Verkehrszustand anhand gegebener Messdaten über dynamische Verkehrszuweisungen.
Die entwickelte mehrstufige Lichtsignalanlagenregelung nutzt ein Fuzzy-System
zur Phasenvorauswahl, um anschließend über eine modellprädiktive Regelung das
nichtlineare Problem mit dem Ergebnis der optimalen Kombinationen von Phasen und
Schaltzeitpunkten zu lösen. Das Regelungssystem wird in dieser Arbeit anhand eines
ausgewählten Verkehrsgebiets zunächst rein simulativ getestet und mit dem vorliegenden
Bestandsverfahren verglichen. Im Anschluss an die prototypische Inbetriebnahme
wird dieser Vergleich durch die Feldtests abgeschlossen. Entsprechende Ergebnisse
zeigen das große Potential der Entwicklung hinsichtlich der Reduktion von Kriterien
wie Emissionen oder Wartezeiten und gleichzeitig den Handlungsbedarf für eine
standardmäßige Nutzung.
- lang: eng
text: This dissertation describes the concept and the development process of a traffic
signal control system up to the real implementation.The control system, which
was developed in the context of the Pilotprojekt Schlosskreuzung, consists of
two mutually coordinated methods for real-time traffic reconstruction and for
model-predictive control of the traffic system based on the existing traffic light
systems.The real-time traffic reconstruction approximates the current traffic
state simulation-based using given measurement data via dynamic traffic assignments.The
designed multi-stage traffic signal control system uses a fuzzy-system for phase
preselection and subsequently employs model predictive control to solve the nonlinear
problem resulting in the optimal combinations of phases and switching times.In
this work, the control system is first tested purely simulatively on the basis
of a selected traffic area and compared with the existing inventory method.Following
the prototypical commissioning, this comparison is finalised by field tests.Corresponding
results show the great potential of the development with regard to the reduction
of criteria such as emissions or waiting times and at the same time the need for
action for use as standard.
author:
- first_name: Kevin
full_name: Malena, Kevin
id: '36303'
last_name: Malena
orcid: 0000-0003-1183-4679
citation:
ama: Malena K. Konzipierung, Analyse und Realumsetzung eines mehrstufigen modellprädiktiven
Lichtsignalanlagenregelungssystems. Vol 422. Heinz Nixdorf Institut, Universität
Paderborn; 2024. doi:10.17619/UNIPB/1-2021
apa: Malena, K. (2024). Konzipierung, Analyse und Realumsetzung eines mehrstufigen
modellprädiktiven Lichtsignalanlagenregelungssystems (Vol. 422). Heinz Nixdorf
Institut, Universität Paderborn. https://doi.org/10.17619/UNIPB/1-2021
bibtex: '@book{Malena_2024, series={Verlagsschriftenreihe des Heinz Nixdorf Instituts},
title={Konzipierung, Analyse und Realumsetzung eines mehrstufigen modellprädiktiven
Lichtsignalanlagenregelungssystems}, volume={422}, DOI={10.17619/UNIPB/1-2021},
publisher={Heinz Nixdorf Institut, Universität Paderborn}, author={Malena, Kevin},
year={2024}, collection={Verlagsschriftenreihe des Heinz Nixdorf Instituts} }'
chicago: Malena, Kevin. Konzipierung, Analyse und Realumsetzung eines mehrstufigen
modellprädiktiven Lichtsignalanlagenregelungssystems. Vol. 422. Verlagsschriftenreihe
des Heinz Nixdorf Instituts. Heinz Nixdorf Institut, Universität Paderborn, 2024.
https://doi.org/10.17619/UNIPB/1-2021.
ieee: K. Malena, Konzipierung, Analyse und Realumsetzung eines mehrstufigen modellprädiktiven
Lichtsignalanlagenregelungssystems, vol. 422. Heinz Nixdorf Institut, Universität
Paderborn, 2024.
mla: Malena, Kevin. Konzipierung, Analyse und Realumsetzung eines mehrstufigen
modellprädiktiven Lichtsignalanlagenregelungssystems. Heinz Nixdorf Institut,
Universität Paderborn, 2024, doi:10.17619/UNIPB/1-2021.
short: K. Malena, Konzipierung, Analyse und Realumsetzung eines mehrstufigen modellprädiktiven
Lichtsignalanlagenregelungssystems, Heinz Nixdorf Institut, Universität Paderborn,
2024.
date_created: 2024-06-03T10:42:56Z
date_updated: 2024-10-30T14:41:24Z
ddc:
- '620'
department:
- _id: '153'
doi: 10.17619/UNIPB/1-2021
file:
- access_level: closed
content_type: application/pdf
creator: kmalena
date_created: 2024-10-30T13:57:54Z
date_updated: 2024-10-30T13:57:54Z
file_id: '56828'
file_name: Konzipierung, Analyse und Realumsetzung eines mehrstufigen modellprädiktiven
Lichtsignalanlagenregelungssystems-1.pdf
file_size: 14902500
relation: main_file
success: 1
file_date_updated: 2024-10-30T13:57:54Z
has_accepted_license: '1'
intvolume: ' 422'
keyword:
- Traffic Light System Control
- Model Predictive Control
language:
- iso: ger
page: '207'
publication_identifier:
isbn:
- 978-3-947647-41-5
publication_status: published
publisher: Heinz Nixdorf Institut, Universität Paderborn
series_title: Verlagsschriftenreihe des Heinz Nixdorf Instituts
status: public
supervisor:
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
- first_name: Jürgen
full_name: Krimmling, Jürgen
last_name: Krimmling
title: Konzipierung, Analyse und Realumsetzung eines mehrstufigen modellprädiktiven
Lichtsignalanlagenregelungssystems
type: dissertation
user_id: '36303'
volume: 422
year: '2024'
...
---
_id: '56660'
abstract:
- lang: eng
text: In a successful dialogue in general and a successful explanation in specific,
partners need to account for both, the task model (what is relevant for the task)
and the partner model (what one can con- tribute). The phenomenon of coupling
between task and the partner model becomes especially interesting in the context
of Human– Robot Interaction where humans have to deal with unknown ca- pabilities
of the robot, which can momentarily be perceived when the robot is unable to contribute
to the task. Following research on the path over manner prominence in an action
[31–33], a robot ex- plained actions to a human by emphasizing two aspects – the
path ("where" component) and the manner ("how" component). On criti- cal trials,
the robot occasionally omitted one of these components where participants sought
missing information for the path or the manner. Participants’ information-seeking
and gaze behaviour were analysed. Analysis confirms the initial predictions for,
a) task model (path over manner prominence), i.e., earlier information-seeking
for path-missing than manner-missing trials, and b) partner model, i.e., while
information-seeking is predominantly tied to the attention on the robot’s face,
when robot fails to provide resolution, attention shifts more often towards its
torso – a behavior likely to indicate an exploration of the robot’s capabilities.
An individual-level anal- ysis further confirms that the intra-individual variation
in the task model is partly influenced by the perceived capability of the robot.
author:
- first_name: Amit
full_name: Singh, Amit
id: '91018'
last_name: Singh
orcid: 0000-0002-7789-1521
- first_name: Katharina J.
full_name: Rohlfing, Katharina J.
id: '50352'
last_name: Rohlfing
citation:
ama: 'Singh A, Rohlfing KJ. Coupling of Task and Partner Model: Investigating the
Intra-Individual Variability in Gaze during Human–Robot Explanatory Dialogue.
In: Proceedings of 26th ACM International Conference on Multimodal Interaction
(ICMI 2024). ; 2024. doi:10.1145/3686215.3689202'
apa: 'Singh, A., & Rohlfing, K. J. (2024). Coupling of Task and Partner Model:
Investigating the Intra-Individual Variability in Gaze during Human–Robot Explanatory
Dialogue. Proceedings of 26th ACM International Conference on Multimodal Interaction
(ICMI 2024). 26th ACM International Conference on Multimodal Interaction (ICMI
2024), San Jose, Costa Rica. https://doi.org/10.1145/3686215.3689202'
bibtex: '@inproceedings{Singh_Rohlfing_2024, title={Coupling of Task and Partner
Model: Investigating the Intra-Individual Variability in Gaze during Human–Robot
Explanatory Dialogue}, DOI={10.1145/3686215.3689202},
booktitle={Proceedings of 26th ACM International Conference on Multimodal Interaction
(ICMI 2024)}, author={Singh, Amit and Rohlfing, Katharina J.}, year={2024} }'
chicago: 'Singh, Amit, and Katharina J. Rohlfing. “Coupling of Task and Partner
Model: Investigating the Intra-Individual Variability in Gaze during Human–Robot
Explanatory Dialogue.” In Proceedings of 26th ACM International Conference
on Multimodal Interaction (ICMI 2024), 2024. https://doi.org/10.1145/3686215.3689202.'
ieee: 'A. Singh and K. J. Rohlfing, “Coupling of Task and Partner Model: Investigating
the Intra-Individual Variability in Gaze during Human–Robot Explanatory Dialogue,”
presented at the 26th ACM International Conference on Multimodal Interaction (ICMI
2024), San Jose, Costa Rica, 2024, doi: 10.1145/3686215.3689202.'
mla: 'Singh, Amit, and Katharina J. Rohlfing. “Coupling of Task and Partner Model:
Investigating the Intra-Individual Variability in Gaze during Human–Robot Explanatory
Dialogue.” Proceedings of 26th ACM International Conference on Multimodal Interaction
(ICMI 2024), 2024, doi:10.1145/3686215.3689202.'
short: 'A. Singh, K.J. Rohlfing, in: Proceedings of 26th ACM International Conference
on Multimodal Interaction (ICMI 2024), 2024.'
conference:
location: San Jose, Costa Rica
name: 26th ACM International Conference on Multimodal Interaction (ICMI 2024)
date_created: 2024-10-17T09:35:32Z
date_updated: 2024-11-06T10:56:34Z
ddc:
- '410'
department:
- _id: '749'
- _id: '660'
doi: 10.1145/3686215.3689202
has_accepted_license: '1'
keyword:
- Explanation
- Scaffolding
- Eyetracking
- Partner Model
- HRI
language:
- iso: eng
project:
- _id: '115'
grant_number: '438445824'
name: 'TRR 318 - A05: TRR 318 - Echtzeitmessung der Aufmerksamkeit im Mensch-Roboter-Erklärdialog
(Teilprojekt A05)'
publication: Proceedings of 26th ACM International Conference on Multimodal Interaction
(ICMI 2024)
status: public
title: 'Coupling of Task and Partner Model: Investigating the Intra-Individual Variability
in Gaze during Human–Robot Explanatory Dialogue'
type: conference
user_id: '91018'
year: '2024'
...
---
_id: '56918'
abstract:
- lang: eng
text: Joint value creation of organizations in ecosystems have a high failure rate,
stressing the need for tools that enable the alignment of business models through
visual inquiry. However, existing visual inquiry tools rarely consider recent
design knowledge or ecosystem understanding. This leads to dissatisfied users
and impedes the full realization of ecosystems’ potential. This short paper proposes
an archaeological design science approach for enhancing the design of visual inquiry
tools (e.g., a canvas) for ecosystems. Preliminary findings reveal 24 relevant
artifacts, and shortcomings in the creation of conceptual models and rigorous
evaluations. The proposed research process aims to develop design principles for
more effective tools to bridge the gap between visual inquiry tools and ecosystems.
This research contributes to design science research by reutilizing design knowledge
and further developing the archaeological design approach. It also offers valuable
information to practitioners about existing business model tools for the creation
of ecosystems.
author:
- first_name: Christian
full_name: Vorbohle, Christian
id: '29951'
last_name: Vorbohle
citation:
ama: 'Vorbohle C. Bridging Boundaries: Enhancing Visual Inquiry Tools for Ecosystems
through Design Archaeology. In: Proceedings of the Thirty-Second European Conference
on Information Systems (ECIS 2024). ; 2024.'
apa: 'Vorbohle, C. (2024). Bridging Boundaries: Enhancing Visual Inquiry Tools for
Ecosystems through Design Archaeology. Proceedings of the Thirty-Second European
Conference on Information Systems (ECIS 2024). ECIS 2024, Paphos, Cyprus.'
bibtex: '@inproceedings{Vorbohle_2024, title={Bridging Boundaries: Enhancing Visual
Inquiry Tools for Ecosystems through Design Archaeology}, booktitle={Proceedings
of the Thirty-Second European Conference on Information Systems (ECIS 2024)},
author={Vorbohle, Christian}, year={2024} }'
chicago: 'Vorbohle, Christian. “Bridging Boundaries: Enhancing Visual Inquiry Tools
for Ecosystems through Design Archaeology.” In Proceedings of the Thirty-Second
European Conference on Information Systems (ECIS 2024), 2024.'
ieee: 'C. Vorbohle, “Bridging Boundaries: Enhancing Visual Inquiry Tools for Ecosystems
through Design Archaeology,” presented at the ECIS 2024, Paphos, Cyprus, 2024.'
mla: 'Vorbohle, Christian. “Bridging Boundaries: Enhancing Visual Inquiry Tools
for Ecosystems through Design Archaeology.” Proceedings of the Thirty-Second
European Conference on Information Systems (ECIS 2024), 2024.'
short: 'C. Vorbohle, in: Proceedings of the Thirty-Second European Conference on
Information Systems (ECIS 2024), 2024.'
conference:
location: Paphos, Cyprus
name: ECIS 2024
date_created: 2024-11-06T11:06:05Z
date_updated: 2025-03-21T13:33:23Z
keyword:
- Design Science Research
- Design Archaeology
- Canvas Analysis
- Business Model Tools
language:
- iso: eng
publication: Proceedings of the Thirty-Second European Conference on Information Systems
(ECIS 2024)
related_material:
link:
- relation: confirmation
url: https://aisel.aisnet.org/ecis2024/track23_designresearch/track23_designresearch/2/
status: public
title: 'Bridging Boundaries: Enhancing Visual Inquiry Tools for Ecosystems through
Design Archaeology'
type: conference
user_id: '29951'
year: '2024'
...
---
_id: '57085'
abstract:
- lang: eng
text: We propose an approach for simultaneous diarization and separation of meeting
data. It consists of a complex Angular Central Gaussian Mixture Model (cACGMM)
for speech source separation, and a von-Mises-Fisher Mixture Model (VMFMM) for
diarization in a joint statistical framework. Through the integration, both spatial
and spectral information are exploited for diarization and separation. We also
develop a method for counting the number of active speakers in a segment of a
meeting to support block-wise processing. While the total number of speakers in
a meeting may be known, it is usually not known on a per-segment level. With the
proposed speaker counting, joint diarization and source separation can be done
segment-by-segment, and the permutation problem across segments is solved, thus
allowing for block-online processing in the future. Experimental results on the
LibriCSS meeting corpus show that the integrated approach outperforms a cascaded
approach of diarization and speech enhancement in terms of WER, both on a per-segment
and on a per-meeting level.
author:
- first_name: Tobias
full_name: Cord-Landwehr, Tobias
id: '44393'
last_name: Cord-Landwehr
- first_name: Christoph
full_name: Boeddeker, Christoph
id: '40767'
last_name: Boeddeker
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Cord-Landwehr T, Boeddeker C, Haeb-Umbach R. Simultaneous Diarization and
Separation of Meetings through the Integration of Statistical Mixture Models.
In: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and
Signal Processing (ICASSP). ; 2024. doi:10.1109/ICASSP49660.2025.10888445'
apa: Cord-Landwehr, T., Boeddeker, C., & Haeb-Umbach, R. (2024). Simultaneous
Diarization and Separation of Meetings through the Integration of Statistical
Mixture Models. ICASSP 2025 - 2025 IEEE International Conference on Acoustics,
Speech and Signal Processing (ICASSP). 2025 IEEE International Conference
on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India. https://doi.org/10.1109/ICASSP49660.2025.10888445
bibtex: '@inproceedings{Cord-Landwehr_Boeddeker_Haeb-Umbach_2024, title={Simultaneous
Diarization and Separation of Meetings through the Integration of Statistical
Mixture Models}, DOI={10.1109/ICASSP49660.2025.10888445},
booktitle={ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP)}, author={Cord-Landwehr, Tobias and Boeddeker,
Christoph and Haeb-Umbach, Reinhold}, year={2024} }'
chicago: Cord-Landwehr, Tobias, Christoph Boeddeker, and Reinhold Haeb-Umbach. “Simultaneous
Diarization and Separation of Meetings through the Integration of Statistical
Mixture Models.” In ICASSP 2025 - 2025 IEEE International Conference on Acoustics,
Speech and Signal Processing (ICASSP), 2024. https://doi.org/10.1109/ICASSP49660.2025.10888445.
ieee: 'T. Cord-Landwehr, C. Boeddeker, and R. Haeb-Umbach, “Simultaneous Diarization
and Separation of Meetings through the Integration of Statistical Mixture Models,”
presented at the 2025 IEEE International Conference on Acoustics, Speech and Signal
Processing (ICASSP), Hyderabad, India, 2024, doi: 10.1109/ICASSP49660.2025.10888445.'
mla: Cord-Landwehr, Tobias, et al. “Simultaneous Diarization and Separation of Meetings
through the Integration of Statistical Mixture Models.” ICASSP 2025 - 2025
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
2024, doi:10.1109/ICASSP49660.2025.10888445.
short: 'T. Cord-Landwehr, C. Boeddeker, R. Haeb-Umbach, in: ICASSP 2025 - 2025 IEEE
International Conference on Acoustics, Speech and Signal Processing (ICASSP),
2024.'
conference:
location: Hyderabad, India
name: 2025 IEEE International Conference on Acoustics, Speech and Signal Processing
(ICASSP)
date_created: 2024-11-14T09:32:38Z
date_updated: 2025-08-14T08:12:22Z
ddc:
- '000'
department:
- _id: '54'
doi: 10.1109/ICASSP49660.2025.10888445
file:
- access_level: closed
content_type: application/pdf
creator: cord
date_created: 2025-08-14T08:11:57Z
date_updated: 2025-08-14T08:11:57Z
file_id: '60930'
file_name: main.pdf
file_size: 259907
relation: main_file
success: 1
file_date_updated: 2025-08-14T08:11:57Z
has_accepted_license: '1'
keyword:
- diarization
- source separation
- mixture model
- meeting
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/pdf/2410.21455
oa: '1'
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
- _id: '508'
name: Automatische Transkription von Gesprächssituationen
publication: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP)
status: public
title: Simultaneous Diarization and Separation of Meetings through the Integration
of Statistical Mixture Models
type: conference
user_id: '44393'
year: '2024'
...
---
_id: '52369'
abstract:
- lang: eng
text: Megatrends, such as digitization or sustainability, are confronting the product
management of manufacturing companies with a variety of challenges regarding the
design of future products, but also the management of the actual products. To
successfully position their products in the market, product managers need to gather
and analyze comprehensive information about customers, developments in the products’
environment, product usage, and more. The digitization of all aspects of life
is making data on these topics increasingly available – via social media, documents,
or the internet of things from the products themselves. The systematic collection
and analysis of these data enable the exploitation of new potentials for the adaption
of existing products and the creation of the products of tomorrow. However, there
are still no insights into the main concepts and cause-effect relationships in
exploiting data-driven approaches for product management. Therefore, this paper
aims to identify the main concepts and advantages of data-driven product management.
To answer the corresponding research questions a comprehensive systematic literature
review is conducted. From its results, a detailed description of the main concepts
of data-driven product management is derived. Furthermore, a taxonomy for the
advantages of data-driven product management is presented. The main concepts and
the taxonomy allow for a deeper understanding of the topic while highlighting
necessary future actions and research needs.
author:
- first_name: Timm
full_name: Fichtler, Timm
id: '66731'
last_name: Fichtler
orcid: https://orcid.org/0000-0001-6034-4399
- first_name: Khoren
full_name: Grigoryan, Khoren
last_name: Grigoryan
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Fichtler T, Grigoryan K, Koldewey C, Dumitrescu R. Towards a Data-Driven Product
Management – Concepts, Advantages, and Future Research. In: 2023 IEEE International
Conference on Technology Management, Operations and Decisions (ICTMOD). IEEE;
2023. doi:10.1109/ictmod59086.2023.10438135'
apa: Fichtler, T., Grigoryan, K., Koldewey, C., & Dumitrescu, R. (2023). Towards
a Data-Driven Product Management – Concepts, Advantages, and Future Research.
2023 IEEE International Conference on Technology Management, Operations and
Decisions (ICTMOD). IEEE International Conference on Technology Management,
Operations and Decisions (ICTMOD), Rabat, Morocco. https://doi.org/10.1109/ictmod59086.2023.10438135
bibtex: '@inproceedings{Fichtler_Grigoryan_Koldewey_Dumitrescu_2023, title={Towards
a Data-Driven Product Management – Concepts, Advantages, and Future Research},
DOI={10.1109/ictmod59086.2023.10438135},
booktitle={2023 IEEE International Conference on Technology Management, Operations
and Decisions (ICTMOD)}, publisher={IEEE}, author={Fichtler, Timm and Grigoryan,
Khoren and Koldewey, Christian and Dumitrescu, Roman}, year={2023} }'
chicago: Fichtler, Timm, Khoren Grigoryan, Christian Koldewey, and Roman Dumitrescu.
“Towards a Data-Driven Product Management – Concepts, Advantages, and Future Research.”
In 2023 IEEE International Conference on Technology Management, Operations
and Decisions (ICTMOD). IEEE, 2023. https://doi.org/10.1109/ictmod59086.2023.10438135.
ieee: 'T. Fichtler, K. Grigoryan, C. Koldewey, and R. Dumitrescu, “Towards a Data-Driven
Product Management – Concepts, Advantages, and Future Research,” presented at
the IEEE International Conference on Technology Management, Operations and Decisions
(ICTMOD), Rabat, Morocco, 2023, doi: 10.1109/ictmod59086.2023.10438135.'
mla: Fichtler, Timm, et al. “Towards a Data-Driven Product Management – Concepts,
Advantages, and Future Research.” 2023 IEEE International Conference on Technology
Management, Operations and Decisions (ICTMOD), IEEE, 2023, doi:10.1109/ictmod59086.2023.10438135.
short: 'T. Fichtler, K. Grigoryan, C. Koldewey, R. Dumitrescu, in: 2023 IEEE International
Conference on Technology Management, Operations and Decisions (ICTMOD), IEEE,
2023.'
conference:
end_date: 2023-11-24
location: Rabat, Morocco
name: IEEE International Conference on Technology Management, Operations and Decisions
(ICTMOD)
start_date: 2023-11-22
date_created: 2024-03-07T18:13:47Z
date_updated: 2024-03-07T18:17:34Z
department:
- _id: '563'
doi: 10.1109/ictmod59086.2023.10438135
keyword:
- Product Lifecyle Management (PLM)
- Data Analytics
- Data-driven Design
- Engineering Management
- Lifecycle Data
language:
- iso: eng
publication: 2023 IEEE International Conference on Technology Management, Operations
and Decisions (ICTMOD)
publication_status: published
publisher: IEEE
status: public
title: Towards a Data-Driven Product Management – Concepts, Advantages, and Future
Research
type: conference
user_id: '66731'
year: '2023'
...
---
_id: '53801'
abstract:
- lang: eng
text: 'In this study, we evaluate the impact of gender-biased data from German-language
physician reviews on the fairness of fine-tuned language models. For two different
downstream tasks, we use data reported to be gender biased and aggregate it with
annotations. First, we propose a new approach to aspect-based sentiment analysis
that allows identifying, extracting, and classifying implicit and explicit aspect
phrases and their polarity within a single model. The second task we present is
grade prediction, where we predict the overall grade of a review on the basis
of the review text. For both tasks, we train numerous transformer models and evaluate
their performance. The aggregation of sensitive attributes, such as a physician’s
gender and migration background, with individual text reviews allows us to measure
the performance of the models with respect to these sensitive groups. These group-wise
performance measures act as extrinsic bias measures for our downstream tasks.
In addition, we translate several gender-specific templates of the intrinsic bias
metrics into the German language and evaluate our fine-tuned models. Based on
this set of tasks, fine-tuned models, and intrinsic and extrinsic bias measures,
we perform correlation analyses between intrinsic and extrinsic bias measures.
In terms of sensitive groups and effect sizes, our bias measure results show different
directions. Furthermore, correlations between measures of intrinsic and extrinsic
bias can be observed in different directions. This leads us to conclude that gender-biased
data does not inherently lead to biased models. Other variables, such as template
dependency for intrinsic measures and label distribution in the data, must be
taken into account as they strongly influence the metric results. Therefore, we
suggest that metrics and templates should be chosen according to the given task
and the biases to be assessed. '
article_number: '102235'
article_type: original
author:
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Falk
full_name: Maoro, Falk
last_name: Maoro
- first_name: Michaela
full_name: Geierhos, Michaela
last_name: Geierhos
citation:
ama: 'Kersting J, Maoro F, Geierhos M. Towards comparable ratings: Exploring bias
in German physician reviews. Data & Knowledge Engineering. 2023;148.
doi:10.1016/j.datak.2023.102235'
apa: 'Kersting, J., Maoro, F., & Geierhos, M. (2023). Towards comparable ratings:
Exploring bias in German physician reviews. Data & Knowledge Engineering,
148, Article 102235. https://doi.org/10.1016/j.datak.2023.102235'
bibtex: '@article{Kersting_Maoro_Geierhos_2023, title={Towards comparable ratings:
Exploring bias in German physician reviews}, volume={148}, DOI={10.1016/j.datak.2023.102235},
number={102235}, journal={Data & Knowledge Engineering}, publisher={Elsevier},
author={Kersting, Joschka and Maoro, Falk and Geierhos, Michaela}, year={2023}
}'
chicago: 'Kersting, Joschka, Falk Maoro, and Michaela Geierhos. “Towards Comparable
Ratings: Exploring Bias in German Physician Reviews.” Data & Knowledge
Engineering 148 (2023). https://doi.org/10.1016/j.datak.2023.102235.'
ieee: 'J. Kersting, F. Maoro, and M. Geierhos, “Towards comparable ratings: Exploring
bias in German physician reviews,” Data & Knowledge Engineering, vol.
148, Art. no. 102235, 2023, doi: 10.1016/j.datak.2023.102235.'
mla: 'Kersting, Joschka, et al. “Towards Comparable Ratings: Exploring Bias in German
Physician Reviews.” Data & Knowledge Engineering, vol. 148, 102235,
Elsevier, 2023, doi:10.1016/j.datak.2023.102235.'
short: J. Kersting, F. Maoro, M. Geierhos, Data & Knowledge Engineering 148
(2023).
date_created: 2024-04-30T12:30:56Z
date_updated: 2024-04-30T12:41:14Z
ddc:
- '004'
department:
- _id: '579'
doi: 10.1016/j.datak.2023.102235
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2024-04-30T12:34:35Z
date_updated: 2024-04-30T12:34:35Z
file_id: '53802'
file_name: Kersting 2023.pdf
file_size: 1381398
relation: main_file
success: 1
file_date_updated: 2024-04-30T12:34:35Z
funded_apc: '1'
has_accepted_license: '1'
intvolume: ' 148'
keyword:
- Language model fairness
- Aspect phrase classification
- Grade prediction
- Physician reviews
language:
- iso: eng
main_file_link:
- open_access: '1'
url: ' https://doi.org/10.1016/j.datak.2023.102235 '
oa: '1'
project:
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
in dynamischen Märkten '
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
grant_number: '160364472'
name: 'SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject
B1)'
publication: Data & Knowledge Engineering
publication_identifier:
issn:
- 0169-023X
publication_status: published
publisher: Elsevier
status: public
title: 'Towards comparable ratings: Exploring bias in German physician reviews'
type: journal_article
user_id: '58701'
volume: 148
year: '2023'
...
---
_id: '41971'
abstract:
- lang: ger
text: "Ultraschall-Drahtbonden ist eine Standardtechnologie im Bereich der Aufbau-
und Verbindungstechnik von Leistungshalbleitermodulen. Um Prozessschritte und
damit wertvolle Zeit zu sparen, sollen die Kupferdickdrähte für die Leistungshalbleiter
auch für die Kontaktierung von eingespritzten Anschlusssteckern im Modulrahmen
verwendet werden. Das Kontaktierungsverfahren mit diesen Drähten auf Steckern
in dünnwandigen Kunststoffrahmen führt häufig zu unzureichender Bondqualität.
In dieser Arbeit wird das Bonden von Anschlusssteckern experimentell und anhand
von Simulationen untersucht, um die Prozessstabilität zu steigern.\r\n\r\nZunächst
wurden Experimente auf Untergründen mit hoher Steifigkeit durchgeführt, um Störgrößen
von Untergrundeigenschaften zu verringern. Die gewonnenen Erkenntnisse erlaubten
die Entwicklung eines Simulationsmodells für die Vorhersage der Bondqualität.
Dieses basiert auf einer flächenaufgelösten Reibarbeitsbestimmung im Fügebereich
unter Berücksichtigung des Ultraschallerweichungseffektes und der hierdurch entstehenden
hohen Drahtverformung.\r\n\r\nExperimente an den Anschlusssteckern im Modulrahmen
zeigten eine verringerte Relativverschiebung zwischen Draht und Stecker, was zu
einer deutlichen Verringerung der Reibarbeit führt. Außerdem wurden verminderte
Schwingamplituden des Bondwerkzeugs nachgewiesen. Dies führt zu einer weiteren
Reduktion der Reibarbeit. Beide Effekte wurden mithilfe eines Mehrmassenschwingers
modelliert. Die gewonnenen Erkenntnisse und die erstellten Simulationsmodelle
ermöglichen die Entwicklung von Klemmvorrichtungen, welche die identifizierten
Störgrößen gezielt kompensieren und so ein verlässliches Bonden der Anschlussstecker
im gleichen Prozessschritt ermöglichen, in dem auch die Leistungshalbleiter kontaktiert
werden."
author:
- first_name: Simon
full_name: Althoff, Simon
last_name: Althoff
citation:
ama: Althoff S. Predicting the Bond Quality of Heavy Copper Wire Bonds Using
a Friction Model Approach. Vol 15. Shaker; 2023.
apa: Althoff, S. (2023). Predicting the Bond Quality of Heavy Copper Wire Bonds
using a Friction Model Approach (Vol. 15). Shaker.
bibtex: '@book{Althoff_2023, series={Schriften des Lehrstuhls für Dynamik und Mechatronik},
title={Predicting the Bond Quality of Heavy Copper Wire Bonds using a Friction
Model Approach}, volume={15}, publisher={Shaker}, author={Althoff, Simon}, year={2023},
collection={Schriften des Lehrstuhls für Dynamik und Mechatronik} }'
chicago: Althoff, Simon. Predicting the Bond Quality of Heavy Copper Wire Bonds
Using a Friction Model Approach. Vol. 15. Schriften Des Lehrstuhls Für Dynamik
Und Mechatronik. Shaker, 2023.
ieee: S. Althoff, Predicting the Bond Quality of Heavy Copper Wire Bonds using
a Friction Model Approach, vol. 15. Shaker, 2023.
mla: Althoff, Simon. Predicting the Bond Quality of Heavy Copper Wire Bonds Using
a Friction Model Approach. Shaker, 2023.
short: S. Althoff, Predicting the Bond Quality of Heavy Copper Wire Bonds Using
a Friction Model Approach, Shaker, 2023.
date_created: 2023-02-10T13:05:19Z
date_updated: 2023-02-10T13:05:42Z
department:
- _id: '151'
extern: '1'
intvolume: ' 15'
keyword:
- heavy copper bonding
- wire bonding
- quality prediction
- friction model
- point-contact-element
language:
- iso: eng
main_file_link:
- url: https://katalog.ub.uni-paderborn.de/local/r/9925085762506463?sr[q,any]=Simon%20Althoff
page: '192'
publication_identifier:
isbn:
- 978-3-8440-8903-5
publication_status: published
publisher: Shaker
related_material:
link:
- relation: confirmation
url: https://www.shaker.de/de/content/catalogue/index.asp?lang=de&ID=8&ISBN=978-3-8440-8903-5&search=yes
series_title: Schriften des Lehrstuhls für Dynamik und Mechatronik
status: public
supervisor:
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
title: Predicting the Bond Quality of Heavy Copper Wire Bonds using a Friction Model
Approach
type: dissertation
user_id: '55222'
volume: 15
year: '2023'
...
---
_id: '44672'
abstract:
- lang: eng
text: With enhancing digitalization, condition monitoring is used in an increasing
number of application fields across various industrial sectors. By its application,
increased reliability as well as reduced risks and costs can be achieved. Based
on different approaches, technical systems are monitored and measured data is
analyzed to enable condition-based or predictive maintenance. To this end, machine
learning approaches are usually implemented to diagnose the health states or predict
the health index of the monitored system. However, these trained models are often
black-box models, not intuitively explainable for a human. To overcome this shortcoming,
a model-based approach based on physics is developed for piezoelectric bending
actuators. Such a model enables a transparent representation of the system. Moreover,
the model-based approach is extended by a parameter-estimation to account for
sudden changes in behavior e. g. caused by occurring cracks.
article_number: '114399'
article_type: original
author:
- first_name: Amelie
full_name: Bender, Amelie
id: '54290'
last_name: Bender
citation:
ama: 'Bender A. Model-based condition monitoring of piezoelectric bending actuators.
Sensors and Actuators A: Physical. 2023;357. doi:10.1016/j.sna.2023.114399'
apa: 'Bender, A. (2023). Model-based condition monitoring of piezoelectric bending
actuators. Sensors and Actuators A: Physical, 357, Article 114399.
https://doi.org/10.1016/j.sna.2023.114399'
bibtex: '@article{Bender_2023, title={Model-based condition monitoring of piezoelectric
bending actuators}, volume={357}, DOI={10.1016/j.sna.2023.114399},
number={114399}, journal={Sensors and Actuators A: Physical}, publisher={Elsevier
BV}, author={Bender, Amelie}, year={2023} }'
chicago: 'Bender, Amelie. “Model-Based Condition Monitoring of Piezoelectric Bending
Actuators.” Sensors and Actuators A: Physical 357 (2023). https://doi.org/10.1016/j.sna.2023.114399.'
ieee: 'A. Bender, “Model-based condition monitoring of piezoelectric bending actuators,”
Sensors and Actuators A: Physical, vol. 357, Art. no. 114399, 2023, doi:
10.1016/j.sna.2023.114399.'
mla: 'Bender, Amelie. “Model-Based Condition Monitoring of Piezoelectric Bending
Actuators.” Sensors and Actuators A: Physical, vol. 357, 114399, Elsevier
BV, 2023, doi:10.1016/j.sna.2023.114399.'
short: 'A. Bender, Sensors and Actuators A: Physical 357 (2023).'
date_created: 2023-05-09T09:49:44Z
date_updated: 2023-05-09T09:53:31Z
department:
- _id: '151'
doi: 10.1016/j.sna.2023.114399
intvolume: ' 357'
keyword:
- Condition Monitoring
- Model-based approach Diagnostics
- Varying conditions
- Explainability
- Piezoelectric bending actuators
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://authors.elsevier.com/a/1h2WV3IC9dF7Hm
oa: '1'
publication: 'Sensors and Actuators A: Physical'
publication_identifier:
issn:
- 0924-4247
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: Model-based condition monitoring of piezoelectric bending actuators
type: journal_article
user_id: '54290'
volume: 357
year: '2023'
...
---
_id: '45793'
abstract:
- lang: eng
text: The global megatrends of digitization and sustainability lead to new challenges
for the design and management of technical products in industrial companies. Product
management - as the bridge between market and company - has the task to absorb
and combine the manifold requirements and make the right product-related decisions.
In the process, product management is confronted with heterogeneous information,
rapidly changing portfolio components, as well as increasing product, and organizational
complexity. Combining and utilizing data from different sources, e.g., product
usage data and social media data leads to promising potentials to improve the
quality of product-related decisions. In this paper, we reinforce the need for
data-driven product management as an interdisciplinary field of action. The state
of data-driven product management in practice was analyzed by conducting workshops
with six manufacturing companies and hosting a focus group meeting with experts
from different industries. We investigate the expectations and derive requirements
leading us to open research questions, a vision for data-driven product management,
and a research agenda to shape future research efforts.
author:
- first_name: Khoren
full_name: Grigoryan, Khoren
last_name: Grigoryan
- first_name: Timm
full_name: Fichtler, Timm
id: '66731'
last_name: Fichtler
orcid: https://orcid.org/0000-0001-6034-4399
- first_name: Nick
full_name: Schreiner, Nick
last_name: Schreiner
- first_name: Martin
full_name: Rabe, Martin
last_name: Rabe
- first_name: Melina
full_name: Panzner, Melina
id: '72658'
last_name: Panzner
- first_name: Arno
full_name: Kühn, Arno
last_name: Kühn
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
citation:
ama: 'Grigoryan K, Fichtler T, Schreiner N, et al. Data-Driven Product Management:
A Practitioner-Driven Research Agenda. In: Procedia CIRP 33. ; 2023.'
apa: 'Grigoryan, K., Fichtler, T., Schreiner, N., Rabe, M., Panzner, M., Kühn, A.,
Dumitrescu, R., & Koldewey, C. (2023). Data-Driven Product Management: A Practitioner-Driven
Research Agenda. Procedia CIRP 33. 33rd CIRP Design Conference, Sydney.'
bibtex: '@inproceedings{Grigoryan_Fichtler_Schreiner_Rabe_Panzner_Kühn_Dumitrescu_Koldewey_2023,
title={Data-Driven Product Management: A Practitioner-Driven Research Agenda},
booktitle={Procedia CIRP 33}, author={Grigoryan, Khoren and Fichtler, Timm and
Schreiner, Nick and Rabe, Martin and Panzner, Melina and Kühn, Arno and Dumitrescu,
Roman and Koldewey, Christian}, year={2023} }'
chicago: 'Grigoryan, Khoren, Timm Fichtler, Nick Schreiner, Martin Rabe, Melina
Panzner, Arno Kühn, Roman Dumitrescu, and Christian Koldewey. “Data-Driven Product
Management: A Practitioner-Driven Research Agenda.” In Procedia CIRP 33,
2023.'
ieee: 'K. Grigoryan et al., “Data-Driven Product Management: A Practitioner-Driven
Research Agenda,” presented at the 33rd CIRP Design Conference, Sydney, 2023.'
mla: 'Grigoryan, Khoren, et al. “Data-Driven Product Management: A Practitioner-Driven
Research Agenda.” Procedia CIRP 33, 2023.'
short: 'K. Grigoryan, T. Fichtler, N. Schreiner, M. Rabe, M. Panzner, A. Kühn, R.
Dumitrescu, C. Koldewey, in: Procedia CIRP 33, 2023.'
conference:
location: Sydney
name: 33rd CIRP Design Conference
date_created: 2023-06-27T13:46:45Z
date_updated: 2023-06-27T13:57:42Z
department:
- _id: '563'
- _id: '241'
keyword:
- Product Management
- Data Analytics
- Data-Driven Design
- Product-related data
- Lifecycle Data
- Tool-support
language:
- iso: eng
publication: Procedia CIRP 33
status: public
title: 'Data-Driven Product Management: A Practitioner-Driven Research Agenda'
type: conference
user_id: '66731'
year: '2023'
...