---
_id: '30790'
abstract:
- lang: eng
text: "Iterative distributed optimization algorithms involve multiple agents that\r\ncommunicate
with each other, over time, in order to minimize/maximize a global\r\nobjective.
In the presence of unreliable communication networks, the\r\nAge-of-Information
(AoI), which measures the freshness of data received, may be\r\nlarge and hence
hinder algorithmic convergence. In this paper, we study the\r\nconvergence of
general distributed gradient-based optimization algorithms in\r\nthe presence
of communication that neither happens periodically nor at\r\nstochastically independent
points in time. We show that convergence is\r\nguaranteed provided the random
variables associated with the AoI processes are\r\nstochastically dominated by
a random variable with finite first moment. This\r\nimproves on previous requirements
of boundedness of more than the first moment.\r\nWe then introduce stochastically
strongly connected (SSC) networks, a new\r\nstochastic form of strong connectedness
for time-varying networks. We show: If\r\nfor any $p \\ge0$ the processes that
describe the success of communication\r\nbetween agents in a SSC network are $\\alpha$-mixing
with $n^{p-1}\\alpha(n)$\r\nsummable, then the associated AoI processes are stochastically
dominated by a\r\nrandom variable with finite $p$-th moment. In combination with
our first\r\ncontribution, this implies that distributed stochastic gradient descend\r\nconverges
in the presence of AoI, if $\\alpha(n)$ is summable."
author:
- first_name: Adrian
full_name: Redder, Adrian
id: '52265'
last_name: Redder
orcid: https://orcid.org/0000-0001-7391-4688
- first_name: Arunselvan
full_name: Ramaswamy, Arunselvan
id: '66937'
last_name: Ramaswamy
orcid: https://orcid.org/ 0000-0001-7547-8111
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: Redder A, Ramaswamy A, Karl H. Distributed gradient-based optimization in the
presence of dependent aperiodic communication. arXiv:220111343. Published
online 2022.
apa: Redder, A., Ramaswamy, A., & Karl, H. (2022). Distributed gradient-based
optimization in the presence of dependent aperiodic communication. In arXiv:2201.11343.
bibtex: '@article{Redder_Ramaswamy_Karl_2022, title={Distributed gradient-based
optimization in the presence of dependent aperiodic communication}, journal={arXiv:2201.11343},
author={Redder, Adrian and Ramaswamy, Arunselvan and Karl, Holger}, year={2022}
}'
chicago: Redder, Adrian, Arunselvan Ramaswamy, and Holger Karl. “Distributed Gradient-Based
Optimization in the Presence of Dependent Aperiodic Communication.” ArXiv:2201.11343,
2022.
ieee: A. Redder, A. Ramaswamy, and H. Karl, “Distributed gradient-based optimization
in the presence of dependent aperiodic communication,” arXiv:2201.11343.
2022.
mla: Redder, Adrian, et al. “Distributed Gradient-Based Optimization in the Presence
of Dependent Aperiodic Communication.” ArXiv:2201.11343, 2022.
short: A. Redder, A. Ramaswamy, H. Karl, ArXiv:2201.11343 (2022).
date_created: 2022-04-06T06:53:38Z
date_updated: 2022-11-18T09:33:01Z
department:
- _id: '75'
external_id:
arxiv:
- '2201.11343'
language:
- iso: eng
project:
- _id: '16'
name: 'SFB 901 - C4: SFB 901 - Subproject C4'
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
publication: arXiv:2201.11343
status: public
title: Distributed gradient-based optimization in the presence of dependent aperiodic
communication
type: preprint
user_id: '477'
year: '2022'
...
---
_id: '31806'
abstract:
- lang: eng
text: The creation of an RDF knowledge graph for a particular application commonly
involves a pipeline of tools that transform a set ofinput data sources into an
RDF knowledge graph in a process called dataset augmentation. The components of
such augmentation pipelines often require extensive configuration to lead to satisfactory
results. Thus, non-experts are often unable to use them. Wepresent an efficient
supervised algorithm based on genetic programming for learning knowledge graph
augmentation pipelines of arbitrary length. Our approach uses multi-expression
learning to learn augmentation pipelines able to achieve a high F-measure on the
training data. Our evaluation suggests that our approach can efficiently learn
a larger class of RDF dataset augmentation tasks than the state of the art while
using only a single training example. Even on the most complex augmentation problem
we posed, our approach consistently achieves an average F1-measure of 99% in under
500 iterations with an average runtime of 16 seconds
author:
- first_name: Kevin
full_name: Dreßler, Kevin
id: '78256'
last_name: Dreßler
- first_name: Mohamed
full_name: Sherif, Mohamed
id: '67234'
last_name: Sherif
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Dreßler K, Sherif M, Ngonga Ngomo A-C. ADAGIO - Automated Data Augmentation
of Knowledge Graphs Using Multi-expression Learning. In: Proceedings of the
33rd ACM Conference on Hypertext and Hypermedia. ; 2022. doi:10.1145/3511095.3531287'
apa: 'Dreßler, K., Sherif, M., & Ngonga Ngomo, A.-C. (2022). ADAGIO - Automated
Data Augmentation of Knowledge Graphs Using Multi-expression Learning. Proceedings
of the 33rd ACM Conference on Hypertext and Hypermedia. HT ’22: 33rd ACM Conference
on Hypertext and Social Media, Barcelona (Spain). https://doi.org/10.1145/3511095.3531287'
bibtex: '@inproceedings{Dreßler_Sherif_Ngonga Ngomo_2022, title={ADAGIO - Automated
Data Augmentation of Knowledge Graphs Using Multi-expression Learning}, DOI={10.1145/3511095.3531287}, booktitle={Proceedings
of the 33rd ACM Conference on Hypertext and Hypermedia}, author={Dreßler, Kevin
and Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille}, year={2022} }'
chicago: Dreßler, Kevin, Mohamed Sherif, and Axel-Cyrille Ngonga Ngomo. “ADAGIO
- Automated Data Augmentation of Knowledge Graphs Using Multi-Expression Learning.”
In Proceedings of the 33rd ACM Conference on Hypertext and Hypermedia,
2022. https://doi.org/10.1145/3511095.3531287.
ieee: 'K. Dreßler, M. Sherif, and A.-C. Ngonga Ngomo, “ADAGIO - Automated Data Augmentation
of Knowledge Graphs Using Multi-expression Learning,” presented at the HT ’22:
33rd ACM Conference on Hypertext and Social Media, Barcelona (Spain), 2022, doi:
10.1145/3511095.3531287.'
mla: Dreßler, Kevin, et al. “ADAGIO - Automated Data Augmentation of Knowledge Graphs
Using Multi-Expression Learning.” Proceedings of the 33rd ACM Conference on
Hypertext and Hypermedia, 2022, doi:10.1145/3511095.3531287.
short: 'K. Dreßler, M. Sherif, A.-C. Ngonga Ngomo, in: Proceedings of the 33rd ACM
Conference on Hypertext and Hypermedia, 2022.'
conference:
end_date: 2022-07-01
location: Barcelona (Spain)
name: 'HT ’22: 33rd ACM Conference on Hypertext and Social Media'
start_date: 2022-06-28
date_created: 2022-06-08T08:47:33Z
date_updated: 2022-11-18T10:11:38Z
ddc:
- '000'
department:
- _id: '34'
doi: 10.1145/3511095.3531287
keyword:
- 2022 RAKI SFB901 deer dice kevin knowgraphs limes ngonga sherif simba
language:
- iso: eng
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '10'
name: 'SFB 901 - B2: SFB 901 - Subproject B2'
publication: Proceedings of the 33rd ACM Conference on Hypertext and Hypermedia
status: public
title: ADAGIO - Automated Data Augmentation of Knowledge Graphs Using Multi-expression
Learning
type: conference
user_id: '477'
year: '2022'
...
---
_id: '32854'
author:
- first_name: Adrian
full_name: Redder, Adrian
id: '52265'
last_name: Redder
orcid: https://orcid.org/0000-0001-7391-4688
- first_name: Arunselvan
full_name: Ramaswamy, Arunselvan
id: '66937'
last_name: Ramaswamy
orcid: https://orcid.org/ 0000-0001-7547-8111
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: Redder A, Ramaswamy A, Karl H. Practical Network Conditions for the Convergence
of Distributed Optimization. IFAC-PapersOnLine. 2022;55(13):133–138.
apa: Redder, A., Ramaswamy, A., & Karl, H. (2022). Practical Network Conditions
for the Convergence of Distributed Optimization. IFAC-PapersOnLine, 55(13),
133–138.
bibtex: '@article{Redder_Ramaswamy_Karl_2022, title={Practical Network Conditions
for the Convergence of Distributed Optimization}, volume={55}, number={13}, journal={IFAC-PapersOnLine},
publisher={Elsevier}, author={Redder, Adrian and Ramaswamy, Arunselvan and Karl,
Holger}, year={2022}, pages={133–138} }'
chicago: 'Redder, Adrian, Arunselvan Ramaswamy, and Holger Karl. “Practical Network
Conditions for the Convergence of Distributed Optimization.” IFAC-PapersOnLine
55, no. 13 (2022): 133–138.'
ieee: A. Redder, A. Ramaswamy, and H. Karl, “Practical Network Conditions for the
Convergence of Distributed Optimization,” IFAC-PapersOnLine, vol. 55, no.
13, pp. 133–138, 2022.
mla: Redder, Adrian, et al. “Practical Network Conditions for the Convergence of
Distributed Optimization.” IFAC-PapersOnLine, vol. 55, no. 13, Elsevier,
2022, pp. 133–138.
short: A. Redder, A. Ramaswamy, H. Karl, IFAC-PapersOnLine 55 (2022) 133–138.
conference:
name: IFAC Conference on Networked Systems
date_created: 2022-08-16T09:12:55Z
date_updated: 2022-11-18T10:05:14Z
ddc:
- '006'
department:
- _id: '75'
file:
- access_level: closed
content_type: application/pdf
creator: aredder
date_created: 2022-08-31T07:06:30Z
date_updated: 2022-08-31T07:06:30Z
file_id: '33236'
file_name: NecSys2022____Practical_Conditions_for_Conv.pdf
file_size: 298395
relation: main_file
success: 1
file_date_updated: 2022-08-31T07:06:30Z
has_accepted_license: '1'
intvolume: ' 55'
issue: '13'
language:
- iso: eng
page: 133–138
project:
- _id: '16'
name: 'SFB 901 - C4: SFB 901 - Subproject C4'
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
publication: IFAC-PapersOnLine
publisher: Elsevier
status: public
title: Practical Network Conditions for the Convergence of Distributed Optimization
type: journal_article
user_id: '477'
volume: 55
year: '2022'
...
---
_id: '33253'
author:
- first_name: Tim
full_name: Hansmeier, Tim
id: '49992'
last_name: Hansmeier
orcid: 0000-0003-1377-3339
- first_name: Mathis
full_name: Brede, Mathis
last_name: Brede
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
citation:
ama: 'Hansmeier T, Brede M, Platzner M. XCS on Embedded Systems: An Analysis of
Execution Profiles and Accelerated Classifier Deletion. In: GECCO ’22: Proceedings
of the Genetic and Evolutionary Computation Conference Companion. Association
for Computing Machinery (ACM); 2022:2071-2079. doi:10.1145/3520304.3533977'
apa: 'Hansmeier, T., Brede, M., & Platzner, M. (2022). XCS on Embedded Systems:
An Analysis of Execution Profiles and Accelerated Classifier Deletion. GECCO
’22: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
2071–2079. https://doi.org/10.1145/3520304.3533977'
bibtex: '@inproceedings{Hansmeier_Brede_Platzner_2022, place={New York, NY, United
States}, title={XCS on Embedded Systems: An Analysis of Execution Profiles and
Accelerated Classifier Deletion}, DOI={10.1145/3520304.3533977},
booktitle={GECCO ’22: Proceedings of the Genetic and Evolutionary Computation
Conference Companion}, publisher={Association for Computing Machinery (ACM)},
author={Hansmeier, Tim and Brede, Mathis and Platzner, Marco}, year={2022}, pages={2071–2079}
}'
chicago: 'Hansmeier, Tim, Mathis Brede, and Marco Platzner. “XCS on Embedded Systems:
An Analysis of Execution Profiles and Accelerated Classifier Deletion.” In GECCO
’22: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
2071–79. New York, NY, United States: Association for Computing Machinery (ACM),
2022. https://doi.org/10.1145/3520304.3533977.'
ieee: 'T. Hansmeier, M. Brede, and M. Platzner, “XCS on Embedded Systems: An Analysis
of Execution Profiles and Accelerated Classifier Deletion,” in GECCO ’22: Proceedings
of the Genetic and Evolutionary Computation Conference Companion, Boston,
MA, USA, 2022, pp. 2071–2079, doi: 10.1145/3520304.3533977.'
mla: 'Hansmeier, Tim, et al. “XCS on Embedded Systems: An Analysis of Execution
Profiles and Accelerated Classifier Deletion.” GECCO ’22: Proceedings of the
Genetic and Evolutionary Computation Conference Companion, Association for
Computing Machinery (ACM), 2022, pp. 2071–79, doi:10.1145/3520304.3533977.'
short: 'T. Hansmeier, M. Brede, M. Platzner, in: GECCO ’22: Proceedings of the Genetic
and Evolutionary Computation Conference Companion, Association for Computing Machinery
(ACM), New York, NY, United States, 2022, pp. 2071–2079.'
conference:
end_date: 2022-07-13
location: Boston, MA, USA
name: International Workshop on Learning Classifier Systems (IWLCS 2022)
start_date: 2022-07-09
date_created: 2022-09-02T11:47:17Z
date_updated: 2022-11-18T10:13:22Z
department:
- _id: '78'
doi: 10.1145/3520304.3533977
language:
- iso: eng
page: 2071-2079
place: New York, NY, United States
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '14'
name: 'SFB 901 - C2: SFB 901 - Subproject C2'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
publication: 'GECCO ''22: Proceedings of the Genetic and Evolutionary Computation
Conference Companion'
publication_status: published
publisher: Association for Computing Machinery (ACM)
status: public
title: 'XCS on Embedded Systems: An Analysis of Execution Profiles and Accelerated
Classifier Deletion'
type: conference
user_id: '477'
year: '2022'
...
---
_id: '34152'
author:
- first_name: Mortaza
full_name: Otroshi, Mortaza
id: '71269'
last_name: Otroshi
orcid: 0000-0002-8652-9209
- first_name: Gerson
full_name: Meschut, Gerson
id: '32056'
last_name: Meschut
orcid: 0000-0002-2763-1246
citation:
ama: 'Otroshi M, Meschut G. Methodenentwicklung zur Verbesserung der Schädigungsmodellierung
in der numerischen 3D-Belastungssimulation mechanischer Fügeverfahren unter Berücksichtigung
der fügeinduzierten Vorbeanspruchung. In: Europäische Forschungsgesellschaft für
Blechverarbeitung e.V. ; 2022.'
apa: Otroshi, M., & Meschut, G. (2022). Methodenentwicklung zur Verbesserung
der Schädigungsmodellierung in der numerischen 3D-Belastungssimulation mechanischer
Fügeverfahren unter Berücksichtigung der fügeinduzierten Vorbeanspruchung.
12. Kolloquium Gemeinsame Forschung zur Mechanischen Fügetechnik, Rostock.
bibtex: '@inproceedings{Otroshi_Meschut_2022, title={Methodenentwicklung zur Verbesserung
der Schädigungsmodellierung in der numerischen 3D-Belastungssimulation mechanischer
Fügeverfahren unter Berücksichtigung der fügeinduzierten Vorbeanspruchung}, publisher={Europäische
Forschungsgesellschaft für Blechverarbeitung e.V. }, author={Otroshi, Mortaza
and Meschut, Gerson}, year={2022} }'
chicago: Otroshi, Mortaza, and Gerson Meschut. “Methodenentwicklung zur Verbesserung
der Schädigungsmodellierung in der numerischen 3D-Belastungssimulation mechanischer
Fügeverfahren unter Berücksichtigung der fügeinduzierten Vorbeanspruchung.” Europäische
Forschungsgesellschaft für Blechverarbeitung e.V. , 2022.
ieee: M. Otroshi and G. Meschut, “Methodenentwicklung zur Verbesserung der Schädigungsmodellierung
in der numerischen 3D-Belastungssimulation mechanischer Fügeverfahren unter Berücksichtigung
der fügeinduzierten Vorbeanspruchung,” presented at the 12. Kolloquium Gemeinsame
Forschung zur Mechanischen Fügetechnik, Rostock, 2022.
mla: Otroshi, Mortaza, and Gerson Meschut. Methodenentwicklung zur Verbesserung
der Schädigungsmodellierung in der numerischen 3D-Belastungssimulation mechanischer
Fügeverfahren unter Berücksichtigung der fügeinduzierten Vorbeanspruchung.
Europäische Forschungsgesellschaft für Blechverarbeitung e.V. , 2022.
short: 'M. Otroshi, G. Meschut, in: Europäische Forschungsgesellschaft für Blechverarbeitung
e.V. , 2022.'
conference:
end_date: 2022-11-24
location: Rostock
name: 12. Kolloquium Gemeinsame Forschung zur Mechanischen Fügetechnik
start_date: 2022-11-23
date_created: 2022-11-28T14:27:50Z
date_updated: 2022-11-28T14:32:07Z
department:
- _id: '157'
language:
- iso: ger
publication_status: published
publisher: 'Europäische Forschungsgesellschaft für Blechverarbeitung e.V. '
status: public
title: Methodenentwicklung zur Verbesserung der Schädigungsmodellierung in der numerischen
3D-Belastungssimulation mechanischer Fügeverfahren unter Berücksichtigung der fügeinduzierten
Vorbeanspruchung
type: conference
user_id: '71269'
year: '2022'
...
---
_id: '34417'
abstract:
- lang: eng
text: Given strict emission targets and legal requirements, especially in the automotive
industry, environmentally friendly and simultaneously versatile applicable production
technologies are gaining importance. In this regard, the use of mechanical joining
processes, such as clinching, enable assembly sheet metals to achieve strength
properties similar to those of established thermal joining technologies. However,
to guarantee a high reliability of the generated joint connection, the selection
of a best-fitting joining technology as well as the meaningful description of
individual joint properties is essential. In the context of clinching, few contributions
have to date investigated the metamodel-based estimation and optimization of joint
characteristics, such as neck or interlock thickness, by applying machine learning
and genetic algorithms. Therefore, several regression models have been trained
on varying databases and amounts of input parameters. However, if product engineers
can only provide limited data for a new joining task, such as incomplete information
on applied joining tool dimensions, previously trained metamodels often reach
their limits. This often results in a significant loss of prediction quality and
leads to increasing uncertainties and inaccuracies within the metamodel-based
design of a clinch joint connection. Motivated by this, the presented contribution
investigates different machine learning algorithms regarding their ability to
achieve a satisfying estimation accuracy on limited input data applying a statistically
based feature selection method. Through this, it is possible to identify which
regression models are suitable to predict clinch joint characteristics considering
only a minimum set of required input features. Thus, in addition to the opportunity
to decrease the training effort as well as the model complexity, the subsequent
formulation of design equations can pave the way to a more versatile application
and reuse of pretrained metamodels on varying tool configurations for a given
clinch joining task.
author:
- first_name: Christoph
full_name: Zirngibl, Christoph
last_name: Zirngibl
- first_name: Benjamin
full_name: Schleich, Benjamin
last_name: Schleich
- first_name: Sandro
full_name: Wartzack, Sandro
last_name: Wartzack
citation:
ama: Zirngibl C, Schleich B, Wartzack S. Estimation of Clinch Joint Characteristics
Based on Limited Input Data Using Pre-Trained Metamodels. AI. 2022;3(4):990-1006.
doi:10.3390/ai3040059
apa: Zirngibl, C., Schleich, B., & Wartzack, S. (2022). Estimation of Clinch
Joint Characteristics Based on Limited Input Data Using Pre-Trained Metamodels.
AI, 3(4), 990–1006. https://doi.org/10.3390/ai3040059
bibtex: '@article{Zirngibl_Schleich_Wartzack_2022, title={Estimation of Clinch Joint
Characteristics Based on Limited Input Data Using Pre-Trained Metamodels}, volume={3},
DOI={10.3390/ai3040059}, number={4},
journal={AI}, publisher={MDPI AG}, author={Zirngibl, Christoph and Schleich, Benjamin
and Wartzack, Sandro}, year={2022}, pages={990–1006} }'
chicago: 'Zirngibl, Christoph, Benjamin Schleich, and Sandro Wartzack. “Estimation
of Clinch Joint Characteristics Based on Limited Input Data Using Pre-Trained
Metamodels.” AI 3, no. 4 (2022): 990–1006. https://doi.org/10.3390/ai3040059.'
ieee: 'C. Zirngibl, B. Schleich, and S. Wartzack, “Estimation of Clinch Joint Characteristics
Based on Limited Input Data Using Pre-Trained Metamodels,” AI, vol. 3,
no. 4, pp. 990–1006, 2022, doi: 10.3390/ai3040059.'
mla: Zirngibl, Christoph, et al. “Estimation of Clinch Joint Characteristics Based
on Limited Input Data Using Pre-Trained Metamodels.” AI, vol. 3, no. 4,
MDPI AG, 2022, pp. 990–1006, doi:10.3390/ai3040059.
short: C. Zirngibl, B. Schleich, S. Wartzack, AI 3 (2022) 990–1006.
date_created: 2022-12-14T12:32:29Z
date_updated: 2022-12-14T13:43:53Z
doi: 10.3390/ai3040059
intvolume: ' 3'
issue: '4'
keyword:
- Industrial and Manufacturing Engineering
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.mdpi.com/2673-2688/3/4/59
oa: '1'
page: 990-1006
project:
- _id: '130'
grant_number: '418701707'
name: 'TRR 285: TRR 285'
- _id: '132'
name: 'TRR 285 - B: TRR 285 - Project Area B'
- _id: '144'
name: 'TRR 285 – B05: TRR 285 - Subproject B05'
publication: AI
publication_identifier:
issn:
- 2673-2688
publication_status: published
publisher: MDPI AG
status: public
title: Estimation of Clinch Joint Characteristics Based on Limited Input Data Using
Pre-Trained Metamodels
type: journal_article
user_id: '7850'
volume: 3
year: '2022'
...
---
_id: '34618'
abstract:
- lang: eng
text: "In this article, we show how second-order derivative information can be\r\nincorporated
into gradient sampling methods for nonsmooth optimization. The\r\nsecond-order
information we consider is essentially the set of coefficients of\r\nall second-order
Taylor expansions of the objective in a closed ball around a\r\ngiven point. Based
on this concept, we define a model of the objective as the\r\nmaximum of these
Taylor expansions. Iteratively minimizing this model\r\n(constrained to the closed
ball) results in a simple descent method, for which\r\nwe prove convergence to
minimal points in case the objective is convex. To\r\nobtain an implementable
method, we construct an approximation scheme for the\r\nsecond-order information
based on sampling objective values, gradients and\r\nHessian matrices at finitely
many points. Using a set of test problems, we\r\ncompare the resulting method
to five other available solvers. Considering the\r\nnumber of function evaluations,
the results suggest that the method we propose\r\nis superior to the standard
gradient sampling method, and competitive compared\r\nto other methods."
author:
- first_name: Bennet
full_name: Gebken, Bennet
id: '32643'
last_name: Gebken
citation:
ama: Gebken B. Using second-order information in gradient sampling methods for
nonsmooth optimization. arXiv:221004579. Published online 2022.
apa: Gebken, B. (2022). Using second-order information in gradient sampling methods
for nonsmooth optimization. In arXiv:2210.04579.
bibtex: '@article{Gebken_2022, title={Using second-order information in gradient
sampling methods for nonsmooth optimization}, journal={arXiv:2210.04579}, author={Gebken,
Bennet}, year={2022} }'
chicago: Gebken, Bennet. “Using Second-Order Information in Gradient Sampling Methods
for Nonsmooth Optimization.” ArXiv:2210.04579, 2022.
ieee: B. Gebken, “Using second-order information in gradient sampling methods for
nonsmooth optimization,” arXiv:2210.04579. 2022.
mla: Gebken, Bennet. “Using Second-Order Information in Gradient Sampling Methods
for Nonsmooth Optimization.” ArXiv:2210.04579, 2022.
short: B. Gebken, ArXiv:2210.04579 (2022).
date_created: 2022-12-20T15:25:17Z
date_updated: 2022-12-20T15:28:54Z
department:
- _id: '101'
external_id:
arxiv:
- '2210.04579'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/pdf/2210.04579
oa: '1'
publication: arXiv:2210.04579
status: public
title: Using second-order information in gradient sampling methods for nonsmooth
optimization
type: preprint
user_id: '32643'
year: '2022'
...
---
_id: '29342'
author:
- first_name: Sascha
full_name: Sander, Sascha
id: '23175'
last_name: Sander
- first_name: Dominik
full_name: Teutenberg, Dominik
id: '537'
last_name: Teutenberg
- first_name: Gerson
full_name: Meschut, Gerson
id: '32056'
last_name: Meschut
orcid: 0000-0002-2763-1246
- first_name: Fabian
full_name: Kötz, Fabian
last_name: Kötz
- first_name: Anton
full_name: Matzenmiller, Anton
last_name: Matzenmiller
- first_name: Yann
full_name: Kasper, Yann
last_name: Kasper
- first_name: Thomas
full_name: Ummenhofer, Thomas
last_name: Ummenhofer
citation:
ama: 'Sander S, Teutenberg D, Meschut G, et al. Methodenentwicklung zur rechnerischen
Auslegung geklebter Stahlverbindungen unter Alterungsbeanspruchung im Stahl-
und Anlagenbau . In: DECHEMA, Gesellschaft für Chemische Technik und Biotechnologie
e.V., ed. 22. Kolloquium Gemeinsame Forschung in der Klebtechnik.'
apa: Sander, S., Teutenberg, D., Meschut, G., Kötz, F., Matzenmiller, A., Kasper,
Y., & Ummenhofer, T. (n.d.). Methodenentwicklung zur rechnerischen Auslegung
geklebter Stahlverbindungen unter Alterungsbeanspruchung im Stahl- und Anlagenbau
. In DECHEMA, Gesellschaft für Chemische Technik und Biotechnologie e.V. (Ed.),
22. Kolloquium Gemeinsame Forschung in der Klebtechnik.
bibtex: '@inproceedings{Sander_Teutenberg_Meschut_Kötz_Matzenmiller_Kasper_Ummenhofer,
place={Digital}, title={Methodenentwicklung zur rechnerischen Auslegung geklebter
Stahlverbindungen unter Alterungsbeanspruchung im Stahl- und Anlagenbau }, booktitle={22.
Kolloquium Gemeinsame Forschung in der Klebtechnik}, author={Sander, Sascha and
Teutenberg, Dominik and Meschut, Gerson and Kötz, Fabian and Matzenmiller, Anton
and Kasper, Yann and Ummenhofer, Thomas}, editor={DECHEMA, Gesellschaft für Chemische
Technik und Biotechnologie e.V.} }'
chicago: Sander, Sascha, Dominik Teutenberg, Gerson Meschut, Fabian Kötz, Anton
Matzenmiller, Yann Kasper, and Thomas Ummenhofer. “Methodenentwicklung zur rechnerischen
Auslegung geklebter Stahlverbindungen unter Alterungsbeanspruchung im Stahl-
und Anlagenbau .” In 22. Kolloquium Gemeinsame Forschung in der Klebtechnik,
edited by DECHEMA, Gesellschaft für Chemische Technik und Biotechnologie e.V.
Digital, n.d.
ieee: S. Sander et al., “Methodenentwicklung zur rechnerischen Auslegung
geklebter Stahlverbindungen unter Alterungsbeanspruchung im Stahl- und Anlagenbau
,” in 22. Kolloquium Gemeinsame Forschung in der Klebtechnik, Online Konferenz.
mla: Sander, Sascha, et al. “Methodenentwicklung zur rechnerischen Auslegung geklebter
Stahlverbindungen unter Alterungsbeanspruchung im Stahl- und Anlagenbau .” 22.
Kolloquium Gemeinsame Forschung in der Klebtechnik, edited by DECHEMA, Gesellschaft
für Chemische Technik und Biotechnologie e.V.
short: 'S. Sander, D. Teutenberg, G. Meschut, F. Kötz, A. Matzenmiller, Y. Kasper,
T. Ummenhofer, in: DECHEMA, Gesellschaft für Chemische Technik und Biotechnologie
e.V. (Ed.), 22. Kolloquium Gemeinsame Forschung in der Klebtechnik, Digital, n.d.'
conference:
end_date: 2022-02-16
location: Online Konferenz
name: 22. Kolloquium Gemeinsame Forschung in der Klebtechnik, 2022
start_date: 2022-02-15
corporate_editor:
- DECHEMA, Gesellschaft für Chemische Technik und Biotechnologie e.V.
date_created: 2022-01-14T08:06:52Z
date_updated: 2022-01-14T08:08:37Z
department:
- _id: '157'
language:
- iso: ger
place: Digital
publication: 22. Kolloquium Gemeinsame Forschung in der Klebtechnik
publication_status: inpress
status: public
title: 'Methodenentwicklung zur rechnerischen Auslegung geklebter Stahlverbindungen
unter Alterungsbeanspruchung im Stahl- und Anlagenbau '
type: conference
user_id: '23175'
year: '2022'
...
---
_id: '29302'
abstract:
- lang: eng
text: "This paper introduces the project Scale4Edge. The project is focused on enabling
an effective RISC-V ecosystem for optimization of edge applications. We describe
the basic components of this ecosystem and introduce the envisioned\r\ndemonstrators,
which will be used in their evaluation."
author:
- first_name: Wolfgang
full_name: Ecker, Wolfgang
last_name: Ecker
- first_name: Peer
full_name: Adelt, Peer
id: '5603'
last_name: Adelt
- first_name: Wolfgang
full_name: Müller, Wolfgang
id: '16243'
last_name: Müller
- first_name: Reinhold
full_name: Heckmann, Reinhold
last_name: Heckmann
- first_name: Milos
full_name: Krstic, Milos
last_name: Krstic
- first_name: Vladimir
full_name: Herdt, Vladimir
last_name: Herdt
- first_name: Rolf
full_name: Drechsler, Rolf
last_name: Drechsler
- first_name: Gerhard
full_name: Angst, Gerhard
last_name: Angst
- first_name: Ralf
full_name: Wimmer, Ralf
last_name: Wimmer
- first_name: Andreas
full_name: Mauderer, Andreas
last_name: Mauderer
- first_name: Rafael
full_name: Stahl, Rafael
last_name: Stahl
- first_name: Karsten
full_name: Emrich, Karsten
last_name: Emrich
- first_name: Daniel
full_name: Mueller-Gritschneder, Daniel
last_name: Mueller-Gritschneder
- first_name: Bernd
full_name: Becker, Bernd
last_name: Becker
- first_name: Philipp
full_name: Scholl, Philipp
last_name: Scholl
- first_name: Eyck
full_name: Jentzsch, Eyck
last_name: Jentzsch
- first_name: Jan
full_name: Schlamelcher, Jan
last_name: Schlamelcher
- first_name: Kim
full_name: Grüttner, Kim
last_name: Grüttner
- first_name: Paul Palomero
full_name: Bernardo, Paul Palomero
last_name: Bernardo
- first_name: Oliver
full_name: Brinkmann, Oliver
last_name: Brinkmann
- first_name: Mihaela
full_name: Damian, Mihaela
last_name: Damian
- first_name: Julian
full_name: Oppermann, Julian
last_name: Oppermann
- first_name: Andreas
full_name: Koch, Andreas
last_name: Koch
- first_name: Jörg
full_name: Bormann, Jörg
last_name: Bormann
- first_name: Johannes
full_name: Partzsch, Johannes
last_name: Partzsch
- first_name: Christian
full_name: Mayr, Christian
last_name: Mayr
- first_name: Wolfgang
full_name: Kunz, Wolfgang
last_name: Kunz
citation:
ama: 'Ecker W, Adelt P, Müller W, et al. The Scale4Edge RISC-V Ecosystem. In: In
Proceedings of the Design Automation and Test Conference and Exhibition (DATE
2022). ; 2022.'
apa: Ecker, W., Adelt, P., Müller, W., Heckmann, R., Krstic, M., Herdt, V., Drechsler,
R., Angst, G., Wimmer, R., Mauderer, A., Stahl, R., Emrich, K., Mueller-Gritschneder,
D., Becker, B., Scholl, P., Jentzsch, E., Schlamelcher, J., Grüttner, K., Bernardo,
P. P., … Kunz, W. (2022). The Scale4Edge RISC-V Ecosystem. In Proceedings of
the Design Automation and Test Conference and Exhibition (DATE 2022).
bibtex: '@inproceedings{Ecker_Adelt_Müller_Heckmann_Krstic_Herdt_Drechsler_Angst_Wimmer_Mauderer_et
al._2022, title={The Scale4Edge RISC-V Ecosystem}, booktitle={In Proceedings of
the Design Automation and Test Conference and Exhibition (DATE 2022)}, author={Ecker,
Wolfgang and Adelt, Peer and Müller, Wolfgang and Heckmann, Reinhold and Krstic,
Milos and Herdt, Vladimir and Drechsler, Rolf and Angst, Gerhard and Wimmer, Ralf
and Mauderer, Andreas and et al.}, year={2022} }'
chicago: Ecker, Wolfgang, Peer Adelt, Wolfgang Müller, Reinhold Heckmann, Milos
Krstic, Vladimir Herdt, Rolf Drechsler, et al. “The Scale4Edge RISC-V Ecosystem.”
In In Proceedings of the Design Automation and Test Conference and Exhibition
(DATE 2022), 2022.
ieee: W. Ecker et al., “The Scale4Edge RISC-V Ecosystem,” 2022.
mla: Ecker, Wolfgang, et al. “The Scale4Edge RISC-V Ecosystem.” In Proceedings
of the Design Automation and Test Conference and Exhibition (DATE 2022), 2022.
short: 'W. Ecker, P. Adelt, W. Müller, R. Heckmann, M. Krstic, V. Herdt, R. Drechsler,
G. Angst, R. Wimmer, A. Mauderer, R. Stahl, K. Emrich, D. Mueller-Gritschneder,
B. Becker, P. Scholl, E. Jentzsch, J. Schlamelcher, K. Grüttner, P.P. Bernardo,
O. Brinkmann, M. Damian, J. Oppermann, A. Koch, J. Bormann, J. Partzsch, C. Mayr,
W. Kunz, in: In Proceedings of the Design Automation and Test Conference and Exhibition
(DATE 2022), 2022.'
conference:
end_date: 15.03.2022
start_date: 14.03.2022
date_created: 2022-01-13T07:27:46Z
date_updated: 2022-01-13T07:30:38Z
department:
- _id: '58'
language:
- iso: eng
publication: In Proceedings of the Design Automation and Test Conference and Exhibition
(DATE 2022)
status: public
title: The Scale4Edge RISC-V Ecosystem
type: conference
user_id: '15931'
year: '2022'
...
---
_id: '31545'
abstract:
- lang: eng
text: Knowledge graph embedding research has mainly focused on learning continuous
representations of entities and relations tailored towards the link prediction
problem. Recent results indicate an ever increasing predictive ability of current
approaches on benchmark datasets. However, this effectiveness often comes with
the cost of over-parameterization and increased computationally complexity. The
former induces extensive hyperparameter optimization to mitigate malicious overfitting.
The latter magnifies the importance of winning the hardware lottery. Here, we
investigate a remedy for the first problem. We propose a technique based on Kronecker
decomposition to reduce the number of parameters in a knowledge graph embedding
model, while retaining its expressiveness. Through Kronecker decomposition, large
embedding matrices are split into smaller embedding matrices during the training
process. Hence, embeddings of knowledge graphs are not plainly retrieved but reconstructed
on the fly. The decomposition ensures that elementwise interactions between three
embedding vectors are extended with interactions within each embedding vector.
This implicitly reduces redundancy in embedding vectors and encourages feature
reuse. To quantify the impact of applying Kronecker decomposition on embedding
matrices, we conduct a series of experiments on benchmark datasets. Our experiments
suggest that applying Kronecker decomposition on embedding matrices leads to an
improved parameter efficiency on all benchmark datasets. Moreover, empirical evidence
suggests that reconstructed embeddings entail robustness against noise in the
input knowledge graph. To foster reproducible research, we provide an open-source
implementation of our approach, including training and evaluation scripts as well
as pre-trained models in our knowledge graph embedding framework.
author:
- first_name: Caglar
full_name: Demir, Caglar
id: '43817'
last_name: Demir
- first_name: Julian
full_name: Lienen, Julian
id: '44040'
last_name: Lienen
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: Demir C, Lienen J, Ngonga Ngomo A-C. Kronecker Decomposition for Knowledge
Graph Embeddings. arXiv:220506560. Published online 2022.
apa: Demir, C., Lienen, J., & Ngonga Ngomo, A.-C. (2022). Kronecker Decomposition
for Knowledge Graph Embeddings. In arXiv:2205.06560.
bibtex: '@article{Demir_Lienen_Ngonga Ngomo_2022, title={Kronecker Decomposition
for Knowledge Graph Embeddings}, journal={arXiv:2205.06560}, author={Demir, Caglar
and Lienen, Julian and Ngonga Ngomo, Axel-Cyrille}, year={2022} }'
chicago: Demir, Caglar, Julian Lienen, and Axel-Cyrille Ngonga Ngomo. “Kronecker
Decomposition for Knowledge Graph Embeddings.” ArXiv:2205.06560, 2022.
ieee: C. Demir, J. Lienen, and A.-C. Ngonga Ngomo, “Kronecker Decomposition for
Knowledge Graph Embeddings,” arXiv:2205.06560. 2022.
mla: Demir, Caglar, et al. “Kronecker Decomposition for Knowledge Graph Embeddings.”
ArXiv:2205.06560, 2022.
short: C. Demir, J. Lienen, A.-C. Ngonga Ngomo, ArXiv:2205.06560 (2022).
date_created: 2022-05-31T07:04:36Z
date_updated: 2022-05-31T07:05:50Z
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2205.06560
oa: '1'
publication: arXiv:2205.06560
status: public
title: Kronecker Decomposition for Knowledge Graph Embeddings
type: preprint
user_id: '44040'
year: '2022'
...
---
_id: '31556'
abstract:
- lang: ger
text: Mehrzieloptimierung behandelt Probleme, bei denen mehrere skalare Zielfunktionen
simultan optimiert werden sollen. Ein Punkt ist in diesem Fall optimal, wenn es
keinen anderen Punkt gibt, der mindestens genauso gut ist in allen Zielfunktionen
und besser in mindestens einer Zielfunktion. Ein notwendiges Optimalitätskriterium
lässt sich über Ableitungsinformationen erster Ordnung der Zielfunktionen herleiten.
Die Menge der Punkte, die dieses notwendige Kriterium erfüllen, wird als Pareto-kritische
Menge bezeichnet. Diese Arbeit enthält neue Resultate über Pareto-kritische Mengen
für glatte und nicht-glatte Mehrzieloptimierungsprobleme, sowohl was deren Berechnung
betrifft als auch deren Struktur. Im glatten Fall erfolgt die Berechnung über
ein Fortsetzungsverfahren, im nichtglatten Fall über ein Abstiegsverfahren. Anschließend
wird die Struktur des Randes der Pareto-kritischen Menge analysiert, welcher aus
Pareto-kritischen Mengen kleinerer Subprobleme besteht. Schlussendlich werden
inverse Probleme betrachtet, bei denen zu einer gegebenen Datenmenge ein Zielfunktionsvektor
gefunden werden soll, für den die Datenpunkte kritisch sind.
- lang: eng
text: Multiobjective optimization is concerned with the simultaneous optimization
of multiple scalar-valued functions. In this case, a point is optimal if there
is no other point that is at least as good in all objectives and better in at
least one objective. A necessary condition for optimality can be derived based
on first-order information of the objectives. The set of points that satisfy this
necessary condition is called the Pareto critical set. This thesis presents new
results about Pareto critical sets for smooth and nonsmooth multiobjective optimization
problems, both in terms of their efficient computation and structural properties.
In the smooth case they are computed via a continuation method and in the nonsmooth
case via a descent method. Afterwards, the structure of the boundary of the Pareto
critical set is analyzed, which consists of Pareto critical sets of smaller subproblems.
Finally, inverse problems are considered, where a data set is given and an objective
vector is sought for which the data points are critical.
author:
- first_name: Bennet
full_name: Gebken, Bennet
id: '32643'
last_name: Gebken
citation:
ama: Gebken B. Computation and Analysis of Pareto Critical Sets in Smooth and
Nonsmooth Multiobjective Optimization.; 2022. doi:10.17619/UNIPB/1-1327
apa: Gebken, B. (2022). Computation and analysis of Pareto critical sets in smooth
and nonsmooth multiobjective optimization. https://doi.org/10.17619/UNIPB/1-1327
bibtex: '@book{Gebken_2022, title={Computation and analysis of Pareto critical sets
in smooth and nonsmooth multiobjective optimization}, DOI={10.17619/UNIPB/1-1327},
author={Gebken, Bennet}, year={2022} }'
chicago: Gebken, Bennet. Computation and Analysis of Pareto Critical Sets in
Smooth and Nonsmooth Multiobjective Optimization, 2022. https://doi.org/10.17619/UNIPB/1-1327.
ieee: B. Gebken, Computation and analysis of Pareto critical sets in smooth and
nonsmooth multiobjective optimization. 2022.
mla: Gebken, Bennet. Computation and Analysis of Pareto Critical Sets in Smooth
and Nonsmooth Multiobjective Optimization. 2022, doi:10.17619/UNIPB/1-1327.
short: B. Gebken, Computation and Analysis of Pareto Critical Sets in Smooth and
Nonsmooth Multiobjective Optimization, 2022.
date_created: 2022-06-01T06:48:08Z
date_updated: 2022-06-01T07:13:09Z
department:
- _id: '101'
doi: 10.17619/UNIPB/1-1327
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://digital.ub.uni-paderborn.de/hs/download/pdf/6531779
oa: '1'
status: public
supervisor:
- first_name: Michael
full_name: Dellnitz, Michael
last_name: Dellnitz
title: Computation and analysis of Pareto critical sets in smooth and nonsmooth multiobjective
optimization
type: dissertation
user_id: '32643'
year: '2022'
...
---
_id: '33009'
abstract:
- lang: eng
text: "Abstract\r\n Purpose\r\n
\ The present work aimed to delineate (i) a revised protocol
according to recent methodological developments in evidence generation, to (ii)
describe its interpretation, the assessment of the overall certainty of evidence
and to (iii) outline an Evidence to Decision framework for deriving an evidence-based
guideline on quantitative and qualitative aspects of dietary protein intake.\r\n
\ \r\n Methods\r\n
\ A methodological protocol to systematically investigate
the association between dietary protein intake and several health outcomes and
for deriving dietary protein intake recommendations for the primary prevention
of various non-communicable diseases in the general adult population was developed.\r\n
\ \r\n Results\r\n
\ The developed methodological protocol relies on umbrella
reviews including systematic reviews with or without meta-analyses. Systematic
literature searches in three databases will be performed for each health-related
outcome. The methodological quality of all selected systematic reviews will be
evaluated using a modified version of AMSTAR 2, and the outcome-specific certainty
of evidence for systematic reviews with or without meta-analysis will be assessed
with NutriGrade. The general outline of the Evidence to Decision framework foresees
that recommendations in the derived guideline will be given based on the overall
certainty of evidence as well as on additional criteria such as sustainability.\r\n
\ \r\n Conclusion\r\n
\ The methodological protocol permits a systematic evaluation
of published systematic reviews on dietary protein intake and its association
with selected health-related outcomes. An Evidence to Decision framework will
be the basis for the overall conclusions and the resulting recommendations for
dietary protein intake.\r\n "
author:
- first_name: Anja
full_name: Kroke, Anja
last_name: Kroke
- first_name: Annemarie
full_name: Schmidt, Annemarie
last_name: Schmidt
- first_name: Anna M.
full_name: Amini, Anna M.
last_name: Amini
- first_name: Nicole
full_name: Kalotai, Nicole
last_name: Kalotai
- first_name: Andreas
full_name: Lehmann, Andreas
last_name: Lehmann
- first_name: Julia
full_name: Haardt, Julia
last_name: Haardt
- first_name: Jürgen M.
full_name: Bauer, Jürgen M.
last_name: Bauer
- first_name: Heike A.
full_name: Bischoff-Ferrari, Heike A.
last_name: Bischoff-Ferrari
- first_name: Heiner
full_name: Boeing, Heiner
last_name: Boeing
- first_name: Sarah
full_name: Egert, Sarah
last_name: Egert
- first_name: Sabine
full_name: Ellinger, Sabine
last_name: Ellinger
- first_name: Tilman
full_name: Kühn, Tilman
last_name: Kühn
- first_name: Sandrine
full_name: Louis, Sandrine
last_name: Louis
- first_name: Stefan
full_name: Lorkowski, Stefan
last_name: Lorkowski
- first_name: Katharina
full_name: Nimptsch, Katharina
last_name: Nimptsch
- first_name: Thomas
full_name: Remer, Thomas
last_name: Remer
- first_name: Matthias B.
full_name: Schulze, Matthias B.
last_name: Schulze
- first_name: Roswitha
full_name: Siener, Roswitha
last_name: Siener
- first_name: Gabriele I.
full_name: Stangl, Gabriele I.
last_name: Stangl
- first_name: Dorothee
full_name: Volkert, Dorothee
last_name: Volkert
- first_name: Armin
full_name: Zittermann, Armin
last_name: Zittermann
- first_name: Anette E.
full_name: Buyken, Anette E.
id: '65985'
last_name: Buyken
- first_name: Bernhard
full_name: Watzl, Bernhard
last_name: Watzl
- first_name: Lukas
full_name: Schwingshackl, Lukas
last_name: Schwingshackl
citation:
ama: 'Kroke A, Schmidt A, Amini AM, et al. Dietary protein intake and health-related
outcomes: a methodological protocol for the evidence evaluation and the outline
of an evidence to decision framework underlying the evidence-based guideline of
the German Nutrition Society. European Journal of Nutrition. 2022;61(4):2091-2101.
doi:10.1007/s00394-021-02789-5'
apa: 'Kroke, A., Schmidt, A., Amini, A. M., Kalotai, N., Lehmann, A., Haardt, J.,
Bauer, J. M., Bischoff-Ferrari, H. A., Boeing, H., Egert, S., Ellinger, S., Kühn,
T., Louis, S., Lorkowski, S., Nimptsch, K., Remer, T., Schulze, M. B., Siener,
R., Stangl, G. I., … Schwingshackl, L. (2022). Dietary protein intake and health-related
outcomes: a methodological protocol for the evidence evaluation and the outline
of an evidence to decision framework underlying the evidence-based guideline of
the German Nutrition Society. European Journal of Nutrition, 61(4),
2091–2101. https://doi.org/10.1007/s00394-021-02789-5'
bibtex: '@article{Kroke_Schmidt_Amini_Kalotai_Lehmann_Haardt_Bauer_Bischoff-Ferrari_Boeing_Egert_et
al._2022, title={Dietary protein intake and health-related outcomes: a methodological
protocol for the evidence evaluation and the outline of an evidence to decision
framework underlying the evidence-based guideline of the German Nutrition Society},
volume={61}, DOI={10.1007/s00394-021-02789-5},
number={4}, journal={European Journal of Nutrition}, publisher={Springer Science
and Business Media LLC}, author={Kroke, Anja and Schmidt, Annemarie and Amini,
Anna M. and Kalotai, Nicole and Lehmann, Andreas and Haardt, Julia and Bauer,
Jürgen M. and Bischoff-Ferrari, Heike A. and Boeing, Heiner and Egert, Sarah and
et al.}, year={2022}, pages={2091–2101} }'
chicago: 'Kroke, Anja, Annemarie Schmidt, Anna M. Amini, Nicole Kalotai, Andreas
Lehmann, Julia Haardt, Jürgen M. Bauer, et al. “Dietary Protein Intake and Health-Related
Outcomes: A Methodological Protocol for the Evidence Evaluation and the Outline
of an Evidence to Decision Framework Underlying the Evidence-Based Guideline of
the German Nutrition Society.” European Journal of Nutrition 61, no. 4
(2022): 2091–2101. https://doi.org/10.1007/s00394-021-02789-5.'
ieee: 'A. Kroke et al., “Dietary protein intake and health-related outcomes:
a methodological protocol for the evidence evaluation and the outline of an evidence
to decision framework underlying the evidence-based guideline of the German Nutrition
Society,” European Journal of Nutrition, vol. 61, no. 4, pp. 2091–2101,
2022, doi: 10.1007/s00394-021-02789-5.'
mla: 'Kroke, Anja, et al. “Dietary Protein Intake and Health-Related Outcomes: A
Methodological Protocol for the Evidence Evaluation and the Outline of an Evidence
to Decision Framework Underlying the Evidence-Based Guideline of the German Nutrition
Society.” European Journal of Nutrition, vol. 61, no. 4, Springer Science
and Business Media LLC, 2022, pp. 2091–101, doi:10.1007/s00394-021-02789-5.'
short: A. Kroke, A. Schmidt, A.M. Amini, N. Kalotai, A. Lehmann, J. Haardt, J.M.
Bauer, H.A. Bischoff-Ferrari, H. Boeing, S. Egert, S. Ellinger, T. Kühn, S. Louis,
S. Lorkowski, K. Nimptsch, T. Remer, M.B. Schulze, R. Siener, G.I. Stangl, D.
Volkert, A. Zittermann, A.E. Buyken, B. Watzl, L. Schwingshackl, European Journal
of Nutrition 61 (2022) 2091–2101.
date_created: 2022-08-18T10:36:12Z
date_updated: 2022-08-18T10:41:41Z
department:
- _id: '17'
- _id: '22'
- _id: '571'
doi: 10.1007/s00394-021-02789-5
intvolume: ' 61'
issue: '4'
keyword:
- Nutrition and Dietetics
- Medicine (miscellaneous)
language:
- iso: eng
page: 2091-2101
publication: European Journal of Nutrition
publication_identifier:
issn:
- 1436-6207
- 1436-6215
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: 'Dietary protein intake and health-related outcomes: a methodological protocol
for the evidence evaluation and the outline of an evidence to decision framework
underlying the evidence-based guideline of the German Nutrition Society'
type: journal_article
user_id: '61597'
volume: 61
year: '2022'
...
---
_id: '29934'
abstract:
- lang: eng
text: Tire and road wear are a major source of emissions of nonexhaust particulate
matter (PM) and make up the largest share of microplastics in the environment.
To reduce tire wear through numerical optimization of a vehicle's suspension system,
fast simulations of the representative usage of a vehicle are needed. Therefore,
this contribution evaluates if instead of a full simulation of a representative
test drive, only specific driving maneuvers resulting from a clustering of the
driving data can be used to predict tire wear. As a measure for tire wear, the
friction work between tire and road is calculated. It is shown that enough clusters
result in negligible deviations between the total friction work of the full simulation
and the cluster simulations as well as between the distributions of the friction
work over the tire width. The calculation time can be reduced to about 1% of the
full simulation.
author:
- first_name: Lars
full_name: Muth, Lars
id: '77313'
last_name: Muth
orcid: 0000-0002-2938-5616
- first_name: Christian
full_name: Noll, Christian
last_name: Noll
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Muth L, Noll C, Sextro W. Generation of a Reduced, Representative, Virtual
Test Drive for Fast Evaluation of Tire Wear by Clustering of Driving Data. In:
Orlova A, Cole D, eds. Advances in Dynamics of Vehicles on Roads and Tracks
II - Proceedings of the 27th Symposium of the International Association of Vehicle
System Dynamics, IAVSD 2021. Lecture Notes in Mechanical Engineering. Springer;
2022. doi:10.1007/978-3-031-07305-2_92'
apa: Muth, L., Noll, C., & Sextro, W. (2022). Generation of a Reduced, Representative,
Virtual Test Drive for Fast Evaluation of Tire Wear by Clustering of Driving Data.
In A. Orlova & D. Cole (Eds.), Advances in Dynamics of Vehicles on Roads
and Tracks II - Proceedings of the 27th Symposium of the International Association
of Vehicle System Dynamics, IAVSD 2021. Springer. https://doi.org/10.1007/978-3-031-07305-2_92
bibtex: '@inproceedings{Muth_Noll_Sextro_2022, place={Cham}, series={Lecture Notes
in Mechanical Engineering}, title={Generation of a Reduced, Representative, Virtual
Test Drive for Fast Evaluation of Tire Wear by Clustering of Driving Data}, DOI={10.1007/978-3-031-07305-2_92},
booktitle={Advances in Dynamics of Vehicles on Roads and Tracks II - Proceedings
of the 27th Symposium of the International Association of Vehicle System Dynamics,
IAVSD 2021}, publisher={Springer}, author={Muth, Lars and Noll, Christian and
Sextro, Walter}, editor={Orlova, Anna and Cole, David}, year={2022}, collection={Lecture
Notes in Mechanical Engineering} }'
chicago: 'Muth, Lars, Christian Noll, and Walter Sextro. “Generation of a Reduced,
Representative, Virtual Test Drive for Fast Evaluation of Tire Wear by Clustering
of Driving Data.” In Advances in Dynamics of Vehicles on Roads and Tracks II
- Proceedings of the 27th Symposium of the International Association of Vehicle
System Dynamics, IAVSD 2021, edited by Anna Orlova and David Cole. Lecture
Notes in Mechanical Engineering. Cham: Springer, 2022. https://doi.org/10.1007/978-3-031-07305-2_92.'
ieee: 'L. Muth, C. Noll, and W. Sextro, “Generation of a Reduced, Representative,
Virtual Test Drive for Fast Evaluation of Tire Wear by Clustering of Driving Data,”
in Advances in Dynamics of Vehicles on Roads and Tracks II - Proceedings of
the 27th Symposium of the International Association of Vehicle System Dynamics,
IAVSD 2021, Saint Petersburg, Russia, 2022, doi: 10.1007/978-3-031-07305-2_92.'
mla: Muth, Lars, et al. “Generation of a Reduced, Representative, Virtual Test Drive
for Fast Evaluation of Tire Wear by Clustering of Driving Data.” Advances in
Dynamics of Vehicles on Roads and Tracks II - Proceedings of the 27th Symposium
of the International Association of Vehicle System Dynamics, IAVSD 2021, edited
by Anna Orlova and David Cole, Springer, 2022, doi:10.1007/978-3-031-07305-2_92.
short: 'L. Muth, C. Noll, W. Sextro, in: A. Orlova, D. Cole (Eds.), Advances in
Dynamics of Vehicles on Roads and Tracks II - Proceedings of the 27th Symposium
of the International Association of Vehicle System Dynamics, IAVSD 2021, Springer,
Cham, 2022.'
conference:
end_date: 2021-08-19
location: Saint Petersburg, Russia
name: 27th IAVSD Symposium on Dynamics of Vehicles on Roads and Tracks, IAVSD 2021
start_date: 2021-08-17
date_created: 2022-02-21T14:14:11Z
date_updated: 2022-08-23T11:55:07Z
department:
- _id: '151'
doi: 10.1007/978-3-031-07305-2_92
editor:
- first_name: Anna
full_name: Orlova, Anna
last_name: Orlova
- first_name: David
full_name: Cole, David
last_name: Cole
keyword:
- Tire Wear
- Vehicle Dynamics
- Clustering
- Virtual Test
language:
- iso: eng
main_file_link:
- url: https://link.springer.com/chapter/10.1007/978-3-031-07305-2_92
place: Cham
publication: Advances in Dynamics of Vehicles on Roads and Tracks II - Proceedings
of the 27th Symposium of the International Association of Vehicle System Dynamics,
IAVSD 2021
publication_identifier:
eisbn:
- 978-3-031-07305-2
isbn:
- 978-3-031-07304-5
publication_status: published
publisher: Springer
quality_controlled: '1'
series_title: Lecture Notes in Mechanical Engineering
status: public
title: Generation of a Reduced, Representative, Virtual Test Drive for Fast Evaluation
of Tire Wear by Clustering of Driving Data
type: conference
user_id: '77313'
year: '2022'
...
---
_id: '33090'
abstract:
- lang: eng
text: 'AbstractHeated tool butt welding is a method
often used for joining thermoplastics, especially when the components are made
out of different materials. The quality of the connection between the components
crucially depends on a suitable choice of the parameters of the welding process,
such as heating time, temperature, and the precise way how the parts are then
welded. Moreover, when different materials are to be joined, the parameter values
need to be tailored to the specifics of the respective material. To this end,
in this paper, three approaches to tailor the parameter values to optimize the
quality of the connection are compared: a heuristic by Potente, statistical experimental
design, and Bayesian optimization. With the suitability for practice in mind,
a series of experiments are carried out with these approaches, and their capabilities
of proposing well-performing parameter values are investigated. As a result, Bayesian
optimization is found to yield peak performance, but the costs for optimization
are substantial. In contrast, the Potente heuristic does not require any experimentation
and recommends parameter values with competitive quality.'
author:
- first_name: Karina
full_name: Gevers, Karina
id: '83151'
last_name: Gevers
- first_name: Alexander
full_name: Tornede, Alexander
id: '38209'
last_name: Tornede
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
- first_name: Volker
full_name: Schöppner, Volker
id: '20530'
last_name: Schöppner
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Gevers K, Tornede A, Wever MD, Schöppner V, Hüllermeier E. A comparison of
heuristic, statistical, and machine learning methods for heated tool butt welding
of two different materials. Welding in the World. Published online 2022.
doi:10.1007/s40194-022-01339-9
apa: Gevers, K., Tornede, A., Wever, M. D., Schöppner, V., & Hüllermeier, E.
(2022). A comparison of heuristic, statistical, and machine learning methods for
heated tool butt welding of two different materials. Welding in the World.
https://doi.org/10.1007/s40194-022-01339-9
bibtex: '@article{Gevers_Tornede_Wever_Schöppner_Hüllermeier_2022, title={A comparison
of heuristic, statistical, and machine learning methods for heated tool butt welding
of two different materials}, DOI={10.1007/s40194-022-01339-9},
journal={Welding in the World}, publisher={Springer Science and Business Media
LLC}, author={Gevers, Karina and Tornede, Alexander and Wever, Marcel Dominik
and Schöppner, Volker and Hüllermeier, Eyke}, year={2022} }'
chicago: Gevers, Karina, Alexander Tornede, Marcel Dominik Wever, Volker Schöppner,
and Eyke Hüllermeier. “A Comparison of Heuristic, Statistical, and Machine Learning
Methods for Heated Tool Butt Welding of Two Different Materials.” Welding in
the World, 2022. https://doi.org/10.1007/s40194-022-01339-9.
ieee: 'K. Gevers, A. Tornede, M. D. Wever, V. Schöppner, and E. Hüllermeier, “A
comparison of heuristic, statistical, and machine learning methods for heated
tool butt welding of two different materials,” Welding in the World, 2022,
doi: 10.1007/s40194-022-01339-9.'
mla: Gevers, Karina, et al. “A Comparison of Heuristic, Statistical, and Machine
Learning Methods for Heated Tool Butt Welding of Two Different Materials.” Welding
in the World, Springer Science and Business Media LLC, 2022, doi:10.1007/s40194-022-01339-9.
short: K. Gevers, A. Tornede, M.D. Wever, V. Schöppner, E. Hüllermeier, Welding
in the World (2022).
date_created: 2022-08-24T12:51:07Z
date_updated: 2022-08-24T12:52:06Z
doi: 10.1007/s40194-022-01339-9
keyword:
- Metals and Alloys
- Mechanical Engineering
- Mechanics of Materials
language:
- iso: eng
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '10'
name: 'SFB 901 - B2: SFB 901 - Subproject B2'
publication: Welding in the World
publication_identifier:
issn:
- 0043-2288
- 1878-6669
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: A comparison of heuristic, statistical, and machine learning methods for heated
tool butt welding of two different materials
type: journal_article
user_id: '38209'
year: '2022'
...
---
_id: '33150'
abstract:
- lang: eng
text: In this article, we build on previous work to present an optimization algorithm
for nonlinearly constrained multi-objective optimization problems. The algorithm
combines a surrogate-assisted derivative-free trust-region approach with the filter
method known from single-objective optimization. Instead of the true objective
and constraint functions, so-called fully linear models are employed and we show
how to deal with the gradient inexactness in the composite step setting, adapted
from single-objective optimization as well. Under standard assumptions, we prove
convergence of a subset of iterates to a quasi-stationary point and if constraint
qualifications hold, then the limit point is also a KKT-point of the multi-objective
problem.
author:
- first_name: Manuel Bastian
full_name: Berkemeier, Manuel Bastian
id: '51701'
last_name: Berkemeier
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
citation:
ama: Berkemeier MB, Peitz S. Multi-Objective Trust-Region Filter Method for Nonlinear
Constraints using Inexact Gradients. arXiv:220812094. Published online
2022.
apa: Berkemeier, M. B., & Peitz, S. (2022). Multi-Objective Trust-Region Filter
Method for Nonlinear Constraints using Inexact Gradients. In arXiv:2208.12094.
bibtex: '@article{Berkemeier_Peitz_2022, title={Multi-Objective Trust-Region Filter
Method for Nonlinear Constraints using Inexact Gradients}, journal={arXiv:2208.12094},
author={Berkemeier, Manuel Bastian and Peitz, Sebastian}, year={2022} }'
chicago: Berkemeier, Manuel Bastian, and Sebastian Peitz. “Multi-Objective Trust-Region
Filter Method for Nonlinear Constraints Using Inexact Gradients.” ArXiv:2208.12094,
2022.
ieee: M. B. Berkemeier and S. Peitz, “Multi-Objective Trust-Region Filter Method
for Nonlinear Constraints using Inexact Gradients,” arXiv:2208.12094. 2022.
mla: Berkemeier, Manuel Bastian, and Sebastian Peitz. “Multi-Objective Trust-Region
Filter Method for Nonlinear Constraints Using Inexact Gradients.” ArXiv:2208.12094,
2022.
short: M.B. Berkemeier, S. Peitz, ArXiv:2208.12094 (2022).
date_created: 2022-08-26T06:08:06Z
date_updated: 2022-08-26T06:12:10Z
department:
- _id: '101'
- _id: '655'
external_id:
arxiv:
- '2208.12094'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/pdf/2208.12094
oa: '1'
publication: arXiv:2208.12094
status: public
title: Multi-Objective Trust-Region Filter Method for Nonlinear Constraints using
Inexact Gradients
type: preprint
user_id: '47427'
year: '2022'
...
---
_id: '33240'
author:
- first_name: Thorsten
full_name: Götte, Thorsten
id: '34727'
last_name: Götte
- first_name: Christian
full_name: Scheideler, Christian
id: '20792'
last_name: Scheideler
citation:
ama: 'Götte T, Scheideler C. Brief Announcement: The (Limited) Power of Multiple
Identities: Asynchronous Byzantine Reliable Broadcast with Improved Resilience
through Collusion. In: Agrawal K, Lee I-TA, eds. SPAA ’22: 34th ACM Symposium
on Parallelism in Algorithms and Architectures, Philadelphia, PA, USA, July 11
- 14, 2022. ACM; 2022:99–101. doi:10.1145/3490148.3538556'
apa: 'Götte, T., & Scheideler, C. (2022). Brief Announcement: The (Limited)
Power of Multiple Identities: Asynchronous Byzantine Reliable Broadcast with Improved
Resilience through Collusion. In K. Agrawal & I.-T. A. Lee (Eds.), SPAA
’22: 34th ACM Symposium on Parallelism in Algorithms and Architectures, Philadelphia,
PA, USA, July 11 - 14, 2022 (pp. 99–101). ACM. https://doi.org/10.1145/3490148.3538556'
bibtex: '@inproceedings{Götte_Scheideler_2022, title={Brief Announcement: The (Limited)
Power of Multiple Identities: Asynchronous Byzantine Reliable Broadcast with Improved
Resilience through Collusion}, DOI={10.1145/3490148.3538556},
booktitle={SPAA ’22: 34th ACM Symposium on Parallelism in Algorithms and Architectures,
Philadelphia, PA, USA, July 11 - 14, 2022}, publisher={ACM}, author={Götte, Thorsten
and Scheideler, Christian}, editor={Agrawal, Kunal and Lee, I-Ting Angelina},
year={2022}, pages={99–101} }'
chicago: 'Götte, Thorsten, and Christian Scheideler. “Brief Announcement: The (Limited)
Power of Multiple Identities: Asynchronous Byzantine Reliable Broadcast with Improved
Resilience through Collusion.” In SPAA ’22: 34th ACM Symposium on Parallelism
in Algorithms and Architectures, Philadelphia, PA, USA, July 11 - 14, 2022,
edited by Kunal Agrawal and I-Ting Angelina Lee, 99–101. ACM, 2022. https://doi.org/10.1145/3490148.3538556.'
ieee: 'T. Götte and C. Scheideler, “Brief Announcement: The (Limited) Power of Multiple
Identities: Asynchronous Byzantine Reliable Broadcast with Improved Resilience
through Collusion,” in SPAA ’22: 34th ACM Symposium on Parallelism in Algorithms
and Architectures, Philadelphia, PA, USA, July 11 - 14, 2022, 2022, pp. 99–101,
doi: 10.1145/3490148.3538556.'
mla: 'Götte, Thorsten, and Christian Scheideler. “Brief Announcement: The (Limited)
Power of Multiple Identities: Asynchronous Byzantine Reliable Broadcast with Improved
Resilience through Collusion.” SPAA ’22: 34th ACM Symposium on Parallelism
in Algorithms and Architectures, Philadelphia, PA, USA, July 11 - 14, 2022,
edited by Kunal Agrawal and I-Ting Angelina Lee, ACM, 2022, pp. 99–101, doi:10.1145/3490148.3538556.'
short: 'T. Götte, C. Scheideler, in: K. Agrawal, I.-T.A. Lee (Eds.), SPAA ’22: 34th
ACM Symposium on Parallelism in Algorithms and Architectures, Philadelphia, PA,
USA, July 11 - 14, 2022, ACM, 2022, pp. 99–101.'
date_created: 2022-09-01T07:55:00Z
date_updated: 2022-09-01T07:57:53Z
department:
- _id: '79'
doi: 10.1145/3490148.3538556
editor:
- first_name: Kunal
full_name: Agrawal, Kunal
last_name: Agrawal
- first_name: I-Ting Angelina
full_name: Lee, I-Ting Angelina
last_name: Lee
language:
- iso: eng
page: 99–101
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
- _id: '13'
name: 'SFB 901 - C1: SFB 901 - Subproject C1'
publication: 'SPAA ’22: 34th ACM Symposium on Parallelism in Algorithms and Architectures,
Philadelphia, PA, USA, July 11 - 14, 2022'
publisher: ACM
status: public
title: 'Brief Announcement: The (Limited) Power of Multiple Identities: Asynchronous
Byzantine Reliable Broadcast with Improved Resilience through Collusion'
type: conference
user_id: '15504'
year: '2022'
...
---
_id: '30941'
abstract:
- lang: eng
text: "Decision support systems are crucial in helping decision makers to quickly
identify optimal business decisions in increasingly volatile and complex business
environments. However, the ideal DSS for one decision maker may not optimally
address the requirements for decision support of another decision maker. This
is due to differences between\r\ndecision makers in business goals, regulatory
restrictions or availability of resources such as data. By using a suboptimal
DSS, decision makers risk implementing suboptimal decision recommendations which
endanger the success of their business. This presents DSS developers with the
challenge to implement a customizable DSS which can be tailored to the individual
requirements for decision support of a single decision maker. In order to address
this challenge, we suggest a decision support ecosystem in which DSS developers,
decision makers and other domain experts collaborate using a shared platform to
provide and combine reusable decision support services into a tailored DSS. The
contribution of our paper is twofold: First, we define the concept of a decision
support ecosystem with respect to existing digital business ecosystems and discuss
expected benefits and challenges. Second, we present a reference architecture
for a shared platform supporting the realization of a decision support ecosystem.
We demonstrate our contributions in the example application domain of regional
energy distribution network planning."
author:
- first_name: Jonas
full_name: Kirchhoff, Jonas
id: '39928'
last_name: Kirchhoff
- first_name: Christoph
full_name: Weskamp, Christoph
last_name: Weskamp
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
citation:
ama: 'Kirchhoff J, Weskamp C, Engels G. Decision Support Ecosystems: Definition and
Platform Architecture. In: Decision Support Systems XII: Decision Support Addressing
Modern Industry, Business, and Societal Needs. Vol 447. Lecture Notes in Business
Information Processing . Springer; 2022. doi:10.1007/978-3-031-06530-9_8'
apa: 'Kirchhoff, J., Weskamp, C., & Engels, G. (2022). Decision Support Ecosystems:
Definition and Platform Architecture. In Decision Support Systems XII: Decision
Support Addressing Modern Industry, Business, and Societal Needs (Vol. 447).
Springer. https://doi.org/10.1007/978-3-031-06530-9_8'
bibtex: '@inbook{Kirchhoff_Weskamp_Engels_2022, series={Lecture Notes in Business
Information Processing }, title={Decision Support Ecosystems: Definition and Platform
Architecture}, volume={447}, DOI={10.1007/978-3-031-06530-9_8},
booktitle={Decision Support Systems XII: Decision Support Addressing Modern Industry,
Business, and Societal Needs}, publisher={Springer}, author={Kirchhoff, Jonas
and Weskamp, Christoph and Engels, Gregor}, year={2022}, collection={Lecture Notes
in Business Information Processing } }'
chicago: 'Kirchhoff, Jonas, Christoph Weskamp, and Gregor Engels. “Decision Support
Ecosystems: Definition and Platform Architecture.” In Decision Support Systems
XII: Decision Support Addressing Modern Industry, Business, and Societal Needs,
Vol. 447. Lecture Notes in Business Information Processing . Springer, 2022. https://doi.org/10.1007/978-3-031-06530-9_8.'
ieee: 'J. Kirchhoff, C. Weskamp, and G. Engels, “Decision Support Ecosystems: Definition
and Platform Architecture,” in Decision Support Systems XII: Decision Support
Addressing Modern Industry, Business, and Societal Needs, vol. 447, Springer,
2022.'
mla: 'Kirchhoff, Jonas, et al. “Decision Support Ecosystems: Definition and Platform
Architecture.” Decision Support Systems XII: Decision Support Addressing Modern
Industry, Business, and Societal Needs, vol. 447, Springer, 2022, doi:10.1007/978-3-031-06530-9_8.'
short: 'J. Kirchhoff, C. Weskamp, G. Engels, in: Decision Support Systems XII: Decision
Support Addressing Modern Industry, Business, and Societal Needs, Springer, 2022.'
conference:
name: 8th International Conference on Decision Support System Technology (ICDSST'22)
date_created: 2022-04-25T11:33:09Z
date_updated: 2022-09-07T08:56:38Z
ddc:
- '000'
department:
- _id: '534'
- _id: '66'
doi: 10.1007/978-3-031-06530-9_8
file:
- access_level: closed
content_type: application/pdf
creator: jonaskir
date_created: 2022-04-25T11:34:18Z
date_updated: 2022-04-25T11:34:18Z
file_id: '30942'
file_name: ICDSST22_5504_Paper.pdf
file_size: 425852
relation: main_file
success: 1
file_date_updated: 2022-04-25T11:34:18Z
has_accepted_license: '1'
intvolume: ' 447'
language:
- iso: eng
publication: 'Decision Support Systems XII: Decision Support Addressing Modern Industry,
Business, and Societal Needs'
publisher: Springer
series_title: 'Lecture Notes in Business Information Processing '
status: public
title: 'Decision Support Ecosystems: Definition and Platform Architecture'
type: book_chapter
user_id: '39928'
volume: 447
year: '2022'
...
---
_id: '33508'
abstract:
- lang: eng
text: In this work, methods will be evaluated to numerically calculate the passive
electrical parameters of planar coils. These parameters can then be used to optimize
inductive applications such as wireless power transmission. The focus here will
be on inductive localization, which uses high-frequency magnetic fields and the
resulting induced voltage to provide localization through the coupling parameter
mutual inductance. To achieve localization with high accuracy and best possible
operation (resonance, signal strength, etc.), the coil parameters need to be well
known. For this reason, some numerical methods for the calculation of these quantities
are presented and validated. In addition, the physical effects are thereby considered
in more detail, allowing the localization procedure to be better optimized compared
to simulative black-box methods. The goal should be a dedicated simulation platform
for planar coils to be able to develop training data for neural networks and to
test and optimize localization algorithms.
author:
- first_name: Sven
full_name: Lange, Sven
id: '38240'
last_name: Lange
- first_name: Christian
full_name: Hedayat, Christian
last_name: Hedayat
- first_name: Harald
full_name: Kuhn, Harald
last_name: Kuhn
- first_name: Ulrich
full_name: Hilleringmann, Ulrich
last_name: Hilleringmann
citation:
ama: 'Lange S, Hedayat C, Kuhn H, Hilleringmann U. Modeling and Characterization
of a 3D Environment for the Design of an Inductively Based Locating Method by
Coil Couplings. In: 2022 Smart Systems Integration (SSI). IEEE; 2022. doi:10.1109/ssi56489.2022.9901416'
apa: Lange, S., Hedayat, C., Kuhn, H., & Hilleringmann, U. (2022). Modeling
and Characterization of a 3D Environment for the Design of an Inductively Based
Locating Method by Coil Couplings. 2022 Smart Systems Integration (SSI).
2022 Smart Systems Integration (SSI), Grenoble, France. https://doi.org/10.1109/ssi56489.2022.9901416
bibtex: '@inproceedings{Lange_Hedayat_Kuhn_Hilleringmann_2022, place={Grenoble,
France}, title={Modeling and Characterization of a 3D Environment for the Design
of an Inductively Based Locating Method by Coil Couplings}, DOI={10.1109/ssi56489.2022.9901416},
booktitle={2022 Smart Systems Integration (SSI)}, publisher={IEEE}, author={Lange,
Sven and Hedayat, Christian and Kuhn, Harald and Hilleringmann, Ulrich}, year={2022}
}'
chicago: 'Lange, Sven, Christian Hedayat, Harald Kuhn, and Ulrich Hilleringmann.
“Modeling and Characterization of a 3D Environment for the Design of an Inductively
Based Locating Method by Coil Couplings.” In 2022 Smart Systems Integration
(SSI). Grenoble, France: IEEE, 2022. https://doi.org/10.1109/ssi56489.2022.9901416.'
ieee: 'S. Lange, C. Hedayat, H. Kuhn, and U. Hilleringmann, “Modeling and Characterization
of a 3D Environment for the Design of an Inductively Based Locating Method by
Coil Couplings,” presented at the 2022 Smart Systems Integration (SSI), Grenoble,
France, 2022, doi: 10.1109/ssi56489.2022.9901416.'
mla: Lange, Sven, et al. “Modeling and Characterization of a 3D Environment for
the Design of an Inductively Based Locating Method by Coil Couplings.” 2022
Smart Systems Integration (SSI), IEEE, 2022, doi:10.1109/ssi56489.2022.9901416.
short: 'S. Lange, C. Hedayat, H. Kuhn, U. Hilleringmann, in: 2022 Smart Systems
Integration (SSI), IEEE, Grenoble, France, 2022.'
conference:
end_date: 2022-04-28
location: Grenoble, France
name: 2022 Smart Systems Integration (SSI)
start_date: 2022-04-27
date_created: 2022-10-04T11:26:11Z
date_updated: 2022-10-04T11:35:11Z
department:
- _id: '59'
- _id: '485'
doi: 10.1109/ssi56489.2022.9901416
keyword:
- Simulation Environment
- Inductive Localization
- Coil Parameters
- Inductive Applications
- Near-Field
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/document/9901416
place: Grenoble, France
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: 2022 Smart Systems Integration (SSI)
publication_identifier:
eisbn:
- 978-1-6654-8849-5
publication_status: published
publisher: IEEE
status: public
title: Modeling and Characterization of a 3D Environment for the Design of an Inductively
Based Locating Method by Coil Couplings
type: conference
user_id: '38240'
year: '2022'
...
---
_id: '33714'
abstract:
- lang: eng
text: AbstractIndustry 4.0 promises many potentials
in production. Examples are a data-driven optimization of production processes
of individual machines, driverless transport systems, and assistance systems.
Nevertheless, companies are still hesitant to invest in Industry 4.0 applications.
Studies show that one of the main reasons for that is the unclear economic benefit.
In this work, we present a systematic approach for the evaluation of Industry 4.0
applications in production. The main goal of the systematic is to create transparency
over the evaluation process of an investment in an Industry 4.0 application in
production. The evaluation of a concrete technical solution in an existing production
system is supported. As a theoretical foundation, a characterization of investments
in Industry 4.0 applications is given. From that, a procedure model is derived.
It puts the activities to be carried out, the tools to be used and results in
a temporal context. The application of the systematic is shown on the basis of
an application example.
author:
- first_name: Robert
full_name: Joppen, Robert
last_name: Joppen
- first_name: Arno
full_name: Kühn, Arno
last_name: Kühn
- first_name: Magdalena
full_name: Förster, Magdalena
last_name: Förster
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: Joppen R, Kühn A, Förster M, Dumitrescu R. Evaluation of Industry 4.0 Applications
in Production. Journal of the Knowledge Economy. Published online 2022.
doi:10.1007/s13132-022-00959-2
apa: Joppen, R., Kühn, A., Förster, M., & Dumitrescu, R. (2022). Evaluation
of Industry 4.0 Applications in Production. Journal of the Knowledge Economy.
https://doi.org/10.1007/s13132-022-00959-2
bibtex: '@article{Joppen_Kühn_Förster_Dumitrescu_2022, title={Evaluation of Industry
4.0 Applications in Production}, DOI={10.1007/s13132-022-00959-2},
journal={Journal of the Knowledge Economy}, publisher={Springer Science and Business
Media LLC}, author={Joppen, Robert and Kühn, Arno and Förster, Magdalena and Dumitrescu,
Roman}, year={2022} }'
chicago: Joppen, Robert, Arno Kühn, Magdalena Förster, and Roman Dumitrescu. “Evaluation
of Industry 4.0 Applications in Production.” Journal of the Knowledge Economy,
2022. https://doi.org/10.1007/s13132-022-00959-2.
ieee: 'R. Joppen, A. Kühn, M. Förster, and R. Dumitrescu, “Evaluation of Industry
4.0 Applications in Production,” Journal of the Knowledge Economy, 2022,
doi: 10.1007/s13132-022-00959-2.'
mla: Joppen, Robert, et al. “Evaluation of Industry 4.0 Applications in Production.”
Journal of the Knowledge Economy, Springer Science and Business Media LLC,
2022, doi:10.1007/s13132-022-00959-2.
short: R. Joppen, A. Kühn, M. Förster, R. Dumitrescu, Journal of the Knowledge Economy
(2022).
date_created: 2022-10-13T11:50:20Z
date_updated: 2022-10-13T11:53:53Z
department:
- _id: '563'
doi: 10.1007/s13132-022-00959-2
keyword:
- Economics and Econometrics
language:
- iso: eng
publication: Journal of the Knowledge Economy
publication_identifier:
issn:
- 1868-7865
- 1868-7873
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: Evaluation of Industry 4.0 Applications in Production
type: journal_article
user_id: '15782'
year: '2022'
...
---
_id: '33713'
abstract:
- lang: eng
text: AbstractThe development of technical systems
requires close cooperation of stakeholders from different disciplines. This collaboration
takes place in workshops. Driven by digitalization and by the current pandemic
such workshops take place primarily online. Suitable collaboration tools and methods
are crucial to success. At the beginning of such workshops, use and damage scenarios
are identified. In this paper, we presented a method and tool for identifying
and modeling use and damage scenarios, which we evaluated in 14 online workshops
with a total of 118 participants over a period of almost 3 years.
author:
- first_name: Sergej
full_name: Japs, Sergej
last_name: Japs
- first_name: Sebastian
full_name: Schmidt, Sebastian
last_name: Schmidt
- first_name: Frank
full_name: Kargl, Frank
last_name: Kargl
- first_name: Lydia
full_name: Kaiser, Lydia
last_name: Kaiser
- first_name: Aschot
full_name: Kharatyan, Aschot
last_name: Kharatyan
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: Japs S, Schmidt S, Kargl F, Kaiser L, Kharatyan A, Dumitrescu R. Collaborative
Modeling of Use Case & Damage Scenarios in Online Workshops Using a 3D
Environment. Proceedings of the Design Society. 2022;2:1599-1608. doi:10.1017/pds.2022.162
apa: Japs, S., Schmidt, S., Kargl, F., Kaiser, L., Kharatyan, A., & Dumitrescu,
R. (2022). Collaborative Modeling of Use Case & Damage Scenarios in Online
Workshops Using a 3D Environment. Proceedings of the Design Society, 2,
1599–1608. https://doi.org/10.1017/pds.2022.162
bibtex: '@article{Japs_Schmidt_Kargl_Kaiser_Kharatyan_Dumitrescu_2022, title={Collaborative
Modeling of Use Case & Damage Scenarios in Online Workshops Using a 3D
Environment}, volume={2}, DOI={10.1017/pds.2022.162},
journal={Proceedings of the Design Society}, publisher={Cambridge University Press
(CUP)}, author={Japs, Sergej and Schmidt, Sebastian and Kargl, Frank and Kaiser,
Lydia and Kharatyan, Aschot and Dumitrescu, Roman}, year={2022}, pages={1599–1608}
}'
chicago: 'Japs, Sergej, Sebastian Schmidt, Frank Kargl, Lydia Kaiser, Aschot Kharatyan,
and Roman Dumitrescu. “Collaborative Modeling of Use Case & Damage Scenarios
in Online Workshops Using a 3D Environment.” Proceedings of the Design Society
2 (2022): 1599–1608. https://doi.org/10.1017/pds.2022.162.'
ieee: 'S. Japs, S. Schmidt, F. Kargl, L. Kaiser, A. Kharatyan, and R. Dumitrescu,
“Collaborative Modeling of Use Case & Damage Scenarios in Online Workshops
Using a 3D Environment,” Proceedings of the Design Society, vol. 2, pp.
1599–1608, 2022, doi: 10.1017/pds.2022.162.'
mla: Japs, Sergej, et al. “Collaborative Modeling of Use Case & Damage Scenarios
in Online Workshops Using a 3D Environment.” Proceedings of the Design Society,
vol. 2, Cambridge University Press (CUP), 2022, pp. 1599–608, doi:10.1017/pds.2022.162.
short: S. Japs, S. Schmidt, F. Kargl, L. Kaiser, A. Kharatyan, R. Dumitrescu, Proceedings
of the Design Society 2 (2022) 1599–1608.
date_created: 2022-10-13T11:25:39Z
date_updated: 2022-10-13T11:47:40Z
department:
- _id: '563'
doi: 10.1017/pds.2022.162
intvolume: ' 2'
language:
- iso: eng
page: 1599-1608
publication: Proceedings of the Design Society
publication_identifier:
issn:
- 2732-527X
publication_status: published
publisher: Cambridge University Press (CUP)
status: public
title: Collaborative Modeling of Use Case & Damage Scenarios in Online Workshops
Using a 3D Environment
type: journal_article
user_id: '15782'
volume: 2
year: '2022'
...