---
_id: '31541'
article_number: '157401'
author:
- first_name: Michal
full_name: Kobecki, Michal
last_name: Kobecki
- first_name: Alexey V.
full_name: Scherbakov, Alexey V.
last_name: Scherbakov
- first_name: Serhii M.
full_name: Kukhtaruk, Serhii M.
last_name: Kukhtaruk
- first_name: Dmytro D.
full_name: Yaremkevich, Dmytro D.
last_name: Yaremkevich
- first_name: Tobias
full_name: Henksmeier, Tobias
last_name: Henksmeier
- first_name: Alexander
full_name: Trapp, Alexander
last_name: Trapp
- first_name: Dirk
full_name: Reuter, Dirk
id: '37763'
last_name: Reuter
- first_name: Vitalyi E.
full_name: Gusev, Vitalyi E.
last_name: Gusev
- first_name: Andrey V.
full_name: Akimov, Andrey V.
last_name: Akimov
- first_name: Manfred
full_name: Bayer, Manfred
last_name: Bayer
citation:
ama: Kobecki M, Scherbakov AV, Kukhtaruk SM, et al. Giant Photoelasticity of Polaritons
for Detection of Coherent Phonons in a Superlattice with Quantum Sensitivity.
Physical Review Letters. 2022;128(15). doi:10.1103/physrevlett.128.157401
apa: Kobecki, M., Scherbakov, A. V., Kukhtaruk, S. M., Yaremkevich, D. D., Henksmeier,
T., Trapp, A., Reuter, D., Gusev, V. E., Akimov, A. V., & Bayer, M. (2022).
Giant Photoelasticity of Polaritons for Detection of Coherent Phonons in a Superlattice
with Quantum Sensitivity. Physical Review Letters, 128(15), Article
157401. https://doi.org/10.1103/physrevlett.128.157401
bibtex: '@article{Kobecki_Scherbakov_Kukhtaruk_Yaremkevich_Henksmeier_Trapp_Reuter_Gusev_Akimov_Bayer_2022,
title={Giant Photoelasticity of Polaritons for Detection of Coherent Phonons in
a Superlattice with Quantum Sensitivity}, volume={128}, DOI={10.1103/physrevlett.128.157401},
number={15157401}, journal={Physical Review Letters}, publisher={American Physical
Society (APS)}, author={Kobecki, Michal and Scherbakov, Alexey V. and Kukhtaruk,
Serhii M. and Yaremkevich, Dmytro D. and Henksmeier, Tobias and Trapp, Alexander
and Reuter, Dirk and Gusev, Vitalyi E. and Akimov, Andrey V. and Bayer, Manfred},
year={2022} }'
chicago: Kobecki, Michal, Alexey V. Scherbakov, Serhii M. Kukhtaruk, Dmytro D. Yaremkevich,
Tobias Henksmeier, Alexander Trapp, Dirk Reuter, Vitalyi E. Gusev, Andrey V. Akimov,
and Manfred Bayer. “Giant Photoelasticity of Polaritons for Detection of Coherent
Phonons in a Superlattice with Quantum Sensitivity.” Physical Review Letters
128, no. 15 (2022). https://doi.org/10.1103/physrevlett.128.157401.
ieee: 'M. Kobecki et al., “Giant Photoelasticity of Polaritons for Detection
of Coherent Phonons in a Superlattice with Quantum Sensitivity,” Physical Review
Letters, vol. 128, no. 15, Art. no. 157401, 2022, doi: 10.1103/physrevlett.128.157401.'
mla: Kobecki, Michal, et al. “Giant Photoelasticity of Polaritons for Detection
of Coherent Phonons in a Superlattice with Quantum Sensitivity.” Physical Review
Letters, vol. 128, no. 15, 157401, American Physical Society (APS), 2022,
doi:10.1103/physrevlett.128.157401.
short: M. Kobecki, A.V. Scherbakov, S.M. Kukhtaruk, D.D. Yaremkevich, T. Henksmeier,
A. Trapp, D. Reuter, V.E. Gusev, A.V. Akimov, M. Bayer, Physical Review Letters
128 (2022).
date_created: 2022-05-31T05:46:35Z
date_updated: 2022-05-31T05:47:21Z
department:
- _id: '15'
- _id: '230'
doi: 10.1103/physrevlett.128.157401
intvolume: ' 128'
issue: '15'
keyword:
- General Physics and Astronomy
language:
- iso: eng
publication: Physical Review Letters
publication_identifier:
issn:
- 0031-9007
- 1079-7114
publication_status: published
publisher: American Physical Society (APS)
status: public
title: Giant Photoelasticity of Polaritons for Detection of Coherent Phonons in a
Superlattice with Quantum Sensitivity
type: journal_article
user_id: '42514'
volume: 128
year: '2022'
...
---
_id: '32792'
abstract:
- lang: eng
text: Decision makers in complex business environments have different goals and
constraints and therefore require tailored decision support systems (DSS). Following
a low-code approach, a tailored DSS can be created by a decision maker as a process-based
composition of existing, interoperable decision support services. Data incompatibilities
may be introduced during the design or execution of such a process-driven DSS,
e.g., when a service always generates or a decision maker selects data which violates
a data constraint of a subsequent service. These incompatibilities cause interrupted
or erroneous decision processes. In this paper, we contribute an approach which
enables the detection of data incompatibilities in process-driven DSS during process
design and execution. Our approach utilizes the JSON Schema specification to define
service interfaces and associated type constraints which data produced by services
or decision makers can be validated against. We demonstrate our approach in the
context of decision support for energy network planning using a prototypical open-source
implementation.
author:
- first_name: Jonas
full_name: Kirchhoff, Jonas
id: '39928'
last_name: Kirchhoff
- first_name: Sebastian
full_name: Gottschalk, Sebastian
id: '47208'
last_name: Gottschalk
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
citation:
ama: 'Kirchhoff J, Gottschalk S, Engels G. Detecting Data Incompatibilities in Process-Driven
Decision Support Systems. In: Lecture Notes in Business Information Processing.
Springer International Publishing; 2022. doi:10.1007/978-3-031-11510-3_6'
apa: Kirchhoff, J., Gottschalk, S., & Engels, G. (2022). Detecting Data Incompatibilities
in Process-Driven Decision Support Systems. In Lecture Notes in Business Information
Processing. Springer International Publishing. https://doi.org/10.1007/978-3-031-11510-3_6
bibtex: '@inbook{Kirchhoff_Gottschalk_Engels_2022, place={Cham}, title={Detecting
Data Incompatibilities in Process-Driven Decision Support Systems}, DOI={10.1007/978-3-031-11510-3_6},
booktitle={Lecture Notes in Business Information Processing}, publisher={Springer
International Publishing}, author={Kirchhoff, Jonas and Gottschalk, Sebastian
and Engels, Gregor}, year={2022} }'
chicago: 'Kirchhoff, Jonas, Sebastian Gottschalk, and Gregor Engels. “Detecting
Data Incompatibilities in Process-Driven Decision Support Systems.” In Lecture
Notes in Business Information Processing. Cham: Springer International Publishing,
2022. https://doi.org/10.1007/978-3-031-11510-3_6.'
ieee: 'J. Kirchhoff, S. Gottschalk, and G. Engels, “Detecting Data Incompatibilities
in Process-Driven Decision Support Systems,” in Lecture Notes in Business Information
Processing, Cham: Springer International Publishing, 2022.'
mla: Kirchhoff, Jonas, et al. “Detecting Data Incompatibilities in Process-Driven
Decision Support Systems.” Lecture Notes in Business Information Processing,
Springer International Publishing, 2022, doi:10.1007/978-3-031-11510-3_6.
short: 'J. Kirchhoff, S. Gottschalk, G. Engels, in: Lecture Notes in Business Information
Processing, Springer International Publishing, Cham, 2022.'
date_created: 2022-08-10T13:18:30Z
date_updated: 2022-08-10T13:21:34Z
department:
- _id: '534'
- _id: '66'
doi: 10.1007/978-3-031-11510-3_6
language:
- iso: eng
place: Cham
publication: Lecture Notes in Business Information Processing
publication_identifier:
isbn:
- '9783031115097'
- '9783031115103'
issn:
- 1865-1348
- 1865-1356
publication_status: published
publisher: Springer International Publishing
status: public
title: Detecting Data Incompatibilities in Process-Driven Decision Support Systems
type: book_chapter
user_id: '39928'
year: '2022'
...
---
_id: '33001'
author:
- first_name: Caterina
full_name: Linnig, Caterina
id: '27890'
last_name: Linnig
- first_name: Thomas
full_name: Tröster, Thomas
id: '553'
last_name: Tröster
citation:
ama: Linnig C, Tröster T. Sauber recyceln- Innovative Verfahrenskombination mit
Ultraschall ermöglicht sicheren Umgang mit recycelten Carbonfasern. CU reports.
2022.
apa: Linnig, C., & Tröster, T. (2022). Sauber recyceln- Innovative Verfahrenskombination
mit Ultraschall ermöglicht sicheren Umgang mit recycelten Carbonfasern. CU
Reports.
bibtex: '@article{Linnig_Tröster_2022, title={Sauber recyceln- Innovative Verfahrenskombination
mit Ultraschall ermöglicht sicheren Umgang mit recycelten Carbonfasern}, journal={CU
reports}, author={Linnig, Caterina and Tröster, Thomas}, year={2022} }'
chicago: Linnig, Caterina, and Thomas Tröster. “Sauber Recyceln- Innovative Verfahrenskombination
Mit Ultraschall Ermöglicht Sicheren Umgang Mit Recycelten Carbonfasern.” CU
Reports, 2022.
ieee: C. Linnig and T. Tröster, “Sauber recyceln- Innovative Verfahrenskombination
mit Ultraschall ermöglicht sicheren Umgang mit recycelten Carbonfasern,” CU
reports, 2022.
mla: Linnig, Caterina, and Thomas Tröster. “Sauber Recyceln- Innovative Verfahrenskombination
Mit Ultraschall Ermöglicht Sicheren Umgang Mit Recycelten Carbonfasern.” CU
Reports, 2022.
short: C. Linnig, T. Tröster, CU Reports (2022).
date_created: 2022-08-18T08:13:33Z
date_updated: 2022-08-18T08:16:23Z
department:
- _id: '9'
- _id: '321'
- _id: '149'
language:
- iso: eng
publication: CU reports
publication_date: 2022-06-01
publication_identifier:
unknown:
- 2699-4534
publication_status: published
status: public
title: Sauber recyceln- Innovative Verfahrenskombination mit Ultraschall ermöglicht
sicheren Umgang mit recycelten Carbonfasern
type: newspaper_article
user_id: '27890'
year: '2022'
...
---
_id: '33033'
author:
- first_name: Lukas
full_name: Fehring, Lukas
id: '75695'
last_name: Fehring
citation:
ama: Fehring L. Combined Ranking and Regression Trees for Algorithm Selection.;
2022.
apa: Fehring, L. (2022). Combined Ranking and Regression Trees for Algorithm
Selection.
bibtex: '@book{Fehring_2022, place={Paderborn}, title={Combined Ranking and Regression
Trees for Algorithm Selection}, author={Fehring, Lukas}, year={2022} }'
chicago: Fehring, Lukas. Combined Ranking and Regression Trees for Algorithm
Selection. Paderborn, 2022.
ieee: L. Fehring, Combined Ranking and Regression Trees for Algorithm Selection.
Paderborn, 2022.
mla: Fehring, Lukas. Combined Ranking and Regression Trees for Algorithm Selection.
2022.
short: L. Fehring, Combined Ranking and Regression Trees for Algorithm Selection,
Paderborn, 2022.
date_created: 2022-08-19T09:41:14Z
date_updated: 2022-08-20T07:02:04Z
ddc:
- '006'
department:
- _id: '34'
- _id: '7'
- _id: '26'
file:
- access_level: open_access
content_type: application/pdf
creator: ahetzer
date_created: 2022-08-19T09:39:57Z
date_updated: 2022-08-19T09:39:57Z
file_id: '33034'
file_name: Final Bachelor Thesis.pdf
file_size: 24830795
relation: main_file
file_date_updated: 2022-08-19T09:39:57Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
place: Paderborn
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'
status: public
title: Combined Ranking and Regression Trees for Algorithm Selection
type: bachelorsthesis
user_id: '38209'
year: '2022'
...
---
_id: '30867'
abstract:
- lang: eng
text: "In online algorithm selection (OAS), instances of an algorithmic problem\r\nclass
are presented to an agent one after another, and the agent has to quickly\r\nselect
a presumably best algorithm from a fixed set of candidate algorithms.\r\nFor decision
problems such as satisfiability (SAT), quality typically refers to\r\nthe algorithm's
runtime. As the latter is known to exhibit a heavy-tail\r\ndistribution, an algorithm
is normally stopped when exceeding a predefined\r\nupper time limit. As a consequence,
machine learning methods used to optimize\r\nan algorithm selection strategy in
a data-driven manner need to deal with\r\nright-censored samples, a problem that
has received little attention in the\r\nliterature so far. In this work, we revisit
multi-armed bandit algorithms for\r\nOAS and discuss their capability of dealing
with the problem. Moreover, we\r\nadapt them towards runtime-oriented losses,
allowing for partially censored\r\ndata while keeping a space- and time-complexity
independent of the time\r\nhorizon. In an extensive experimental evaluation on
an adapted version of the\r\nASlib benchmark, we demonstrate that theoretically
well-founded methods based\r\non Thompson sampling perform specifically strong
and improve in comparison to\r\nexisting methods."
author:
- first_name: Alexander
full_name: Tornede, Alexander
id: '38209'
last_name: Tornede
- first_name: Viktor
full_name: Bengs, Viktor
id: '76599'
last_name: Bengs
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Tornede A, Bengs V, Hüllermeier E. Machine Learning for Online Algorithm Selection
under Censored Feedback. Proceedings of the 36th AAAI Conference on Artificial
Intelligence. Published online 2022.
apa: Tornede, A., Bengs, V., & Hüllermeier, E. (2022). Machine Learning for
Online Algorithm Selection under Censored Feedback. In Proceedings of the 36th
AAAI Conference on Artificial Intelligence. AAAI.
bibtex: '@article{Tornede_Bengs_Hüllermeier_2022, title={Machine Learning for Online
Algorithm Selection under Censored Feedback}, journal={Proceedings of the 36th
AAAI Conference on Artificial Intelligence}, publisher={AAAI}, author={Tornede,
Alexander and Bengs, Viktor and Hüllermeier, Eyke}, year={2022} }'
chicago: Tornede, Alexander, Viktor Bengs, and Eyke Hüllermeier. “Machine Learning
for Online Algorithm Selection under Censored Feedback.” Proceedings of the
36th AAAI Conference on Artificial Intelligence. AAAI, 2022.
ieee: A. Tornede, V. Bengs, and E. Hüllermeier, “Machine Learning for Online Algorithm
Selection under Censored Feedback,” Proceedings of the 36th AAAI Conference
on Artificial Intelligence. AAAI, 2022.
mla: Tornede, Alexander, et al. “Machine Learning for Online Algorithm Selection
under Censored Feedback.” Proceedings of the 36th AAAI Conference on Artificial
Intelligence, AAAI, 2022.
short: A. Tornede, V. Bengs, E. Hüllermeier, Proceedings of the 36th AAAI Conference
on Artificial Intelligence (2022).
date_created: 2022-04-12T11:58:56Z
date_updated: 2022-08-24T12:44:27Z
department:
- _id: '34'
- _id: '7'
- _id: '26'
external_id:
arxiv:
- '2109.06234'
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 36th AAAI Conference on Artificial Intelligence
publisher: AAAI
status: public
title: Machine Learning for Online Algorithm Selection under Censored Feedback
type: preprint
user_id: '38209'
year: '2022'
...
---
_id: '30865'
abstract:
- lang: eng
text: "The problem of selecting an algorithm that appears most suitable for a\r\nspecific
instance of an algorithmic problem class, such as the Boolean\r\nsatisfiability
problem, is called instance-specific algorithm selection. Over\r\nthe past decade,
the problem has received considerable attention, resulting in\r\na number of different
methods for algorithm selection. Although most of these\r\nmethods are based on
machine learning, surprisingly little work has been done\r\non meta learning,
that is, on taking advantage of the complementarity of\r\nexisting algorithm selection
methods in order to combine them into a single\r\nsuperior algorithm selector.
In this paper, we introduce the problem of meta\r\nalgorithm selection, which
essentially asks for the best way to combine a given\r\nset of algorithm selectors.
We present a general methodological framework for\r\nmeta algorithm selection
as well as several concrete learning methods as\r\ninstantiations of this framework,
essentially combining ideas of meta learning\r\nand ensemble learning. In an extensive
experimental evaluation, we demonstrate\r\nthat ensembles of algorithm selectors
can significantly outperform single\r\nalgorithm selectors and have the potential
to form the new state of the art in\r\nalgorithm selection."
author:
- first_name: Alexander
full_name: Tornede, Alexander
id: '38209'
last_name: Tornede
- first_name: Lukas
full_name: Gehring, Lukas
last_name: Gehring
- first_name: Tanja
full_name: Tornede, Tanja
id: '40795'
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: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Tornede A, Gehring L, Tornede T, Wever MD, Hüllermeier E. Algorithm Selection
on a Meta Level. Machine Learning. Published online 2022.
apa: Tornede, A., Gehring, L., Tornede, T., Wever, M. D., & Hüllermeier, E.
(2022). Algorithm Selection on a Meta Level. In Machine Learning.
bibtex: '@article{Tornede_Gehring_Tornede_Wever_Hüllermeier_2022, title={Algorithm
Selection on a Meta Level}, journal={Machine Learning}, author={Tornede, Alexander
and Gehring, Lukas and Tornede, Tanja and Wever, Marcel Dominik and Hüllermeier,
Eyke}, year={2022} }'
chicago: Tornede, Alexander, Lukas Gehring, Tanja Tornede, Marcel Dominik Wever,
and Eyke Hüllermeier. “Algorithm Selection on a Meta Level.” Machine Learning,
2022.
ieee: A. Tornede, L. Gehring, T. Tornede, M. D. Wever, and E. Hüllermeier, “Algorithm
Selection on a Meta Level,” Machine Learning. 2022.
mla: Tornede, Alexander, et al. “Algorithm Selection on a Meta Level.” Machine
Learning, 2022.
short: A. Tornede, L. Gehring, T. Tornede, M.D. Wever, E. Hüllermeier, Machine Learning
(2022).
date_created: 2022-04-12T11:55:18Z
date_updated: 2022-08-24T12:45:39Z
department:
- _id: '34'
- _id: '7'
- _id: '26'
external_id:
arxiv:
- '2107.09414'
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: Machine Learning
status: public
title: Algorithm Selection on a Meta Level
type: preprint
user_id: '38209'
year: '2022'
...
---
_id: '33070'
author:
- first_name: Anika
full_name: Fuhrmann, Anika
last_name: Fuhrmann
- first_name: 'Rebecca '
full_name: 'Schoch, Rebecca '
last_name: Schoch
- first_name: Alexander
full_name: Rusam, Alexander
last_name: Rusam
- first_name: Michael
full_name: Bosse, Michael
last_name: Bosse
- first_name: Felix
full_name: Flachmann, Felix
id: '38212'
last_name: Flachmann
orcid: 0000-0002-7651-7028
- first_name: Elmar
full_name: Moritzer, Elmar
id: '20531'
last_name: Moritzer
- first_name: Thomas
full_name: Hochrein, Thomas
last_name: Hochrein
- first_name: Martin
full_name: Bastian, Martin
last_name: Bastian
citation:
ama: 'Fuhrmann A, Schoch R, Rusam A, et al. Verbessertes Füllverhalten Im Spritzgießprozess
Durch Schäumen von WPC: Bewertung Des Fließverhaltens Treibmittelbeladener Polymerschmelzen.
Shaker; 2022.'
apa: 'Fuhrmann, A., Schoch, R., Rusam, A., Bosse, M., Flachmann, F., Moritzer, E.,
Hochrein, T., & Bastian, M. (2022). Verbessertes Füllverhalten im Spritzgießprozess
durch Schäumen von WPC: Bewertung des Fließverhaltens treibmittelbeladener Polymerschmelzen.
Shaker.'
bibtex: '@book{Fuhrmann_Schoch_Rusam_Bosse_Flachmann_Moritzer_Hochrein_Bastian_2022,
title={Verbessertes Füllverhalten im Spritzgießprozess durch Schäumen von WPC:
Bewertung des Fließverhaltens treibmittelbeladener Polymerschmelzen}, publisher={Shaker},
author={Fuhrmann, Anika and Schoch, Rebecca and Rusam, Alexander and Bosse, Michael
and Flachmann, Felix and Moritzer, Elmar and Hochrein, Thomas and Bastian, Martin},
year={2022} }'
chicago: 'Fuhrmann, Anika, Rebecca Schoch, Alexander Rusam, Michael Bosse, Felix
Flachmann, Elmar Moritzer, Thomas Hochrein, and Martin Bastian. Verbessertes
Füllverhalten Im Spritzgießprozess Durch Schäumen von WPC: Bewertung Des Fließverhaltens
Treibmittelbeladener Polymerschmelzen. Shaker, 2022.'
ieee: 'A. Fuhrmann et al., Verbessertes Füllverhalten im Spritzgießprozess
durch Schäumen von WPC: Bewertung des Fließverhaltens treibmittelbeladener Polymerschmelzen.
Shaker, 2022.'
mla: 'Fuhrmann, Anika, et al. Verbessertes Füllverhalten Im Spritzgießprozess
Durch Schäumen von WPC: Bewertung Des Fließverhaltens Treibmittelbeladener Polymerschmelzen.
Shaker, 2022.'
short: 'A. Fuhrmann, R. Schoch, A. Rusam, M. Bosse, F. Flachmann, E. Moritzer, T.
Hochrein, M. Bastian, Verbessertes Füllverhalten Im Spritzgießprozess Durch Schäumen
von WPC: Bewertung Des Fließverhaltens Treibmittelbeladener Polymerschmelzen,
Shaker, 2022.'
date_created: 2022-08-22T11:51:59Z
date_updated: 2022-08-24T07:16:33Z
department:
- _id: '321'
- _id: '9'
- _id: '367'
- _id: '147'
language:
- iso: eng
publication_identifier:
unknown:
- '9783844086676 '
publisher: Shaker
status: public
title: 'Verbessertes Füllverhalten im Spritzgießprozess durch Schäumen von WPC: Bewertung
des Fließverhaltens treibmittelbeladener Polymerschmelzen'
type: report
user_id: '38212'
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: '33281'
abstract:
- lang: eng
text: Corporate decision makers have individual requirements for decision support
influenced by business goals, regulatory restrictions or access to resources such
as data. Ideally, decision makers could quickly create tailored decision support
systems (DSS) themselves which optimally address their individual requirements
for decision support. Although service-oriented architectures have been proposed
for DSS customization, they are primarily targeting trained software developers
and cannot immediately be adapted by decision makers or domain experts with little
to no software development knowledge. In this paper, we therefore motivate an
assisted process-based service composition approach which can be used by non-developers
to create tailored DSS. For assistance during service composition, we contribute
a meta-model for the formalization of both decision support requirements and functionality
of decision support services. Models created according to the meta-model can be
used to detect mismatches between a decision maker’s requirements for decision
support and services selected in the service composition representing a DSS. Furthermore,
the formalizations may even be used for automated service composition given a
decision maker’s decision support requirements. We demonstrate the expressiveness
of our meta-model in the 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. Requirements-Based Composition of Tailored
Decision Support Systems. In: Bernhaupt R, Ardito C, Sauer S, eds. Human-Centered
Software Engineering. Vol 13482. Lecture Notes in Computer Science . Springer
International Publishing; 2022:150–162. doi:10.1007/978-3-031-14785-2_10'
apa: Kirchhoff, J., Weskamp, C., & Engels, G. (2022). Requirements-Based Composition
of Tailored Decision Support Systems. In R. Bernhaupt, C. Ardito, & S. Sauer
(Eds.), Human-Centered Software Engineering (Vol. 13482, pp. 150–162).
Springer International Publishing. https://doi.org/10.1007/978-3-031-14785-2_10
bibtex: '@inproceedings{Kirchhoff_Weskamp_Engels_2022, place={Cham}, series={Lecture
Notes in Computer Science }, title={Requirements-Based Composition of Tailored
Decision Support Systems}, volume={13482}, DOI={10.1007/978-3-031-14785-2_10},
booktitle={Human-Centered Software Engineering}, publisher={Springer International
Publishing}, author={Kirchhoff, Jonas and Weskamp, Christoph and Engels, Gregor},
editor={Bernhaupt, Regina and Ardito, Carmelo and Sauer, Stefan}, year={2022},
pages={150–162}, collection={Lecture Notes in Computer Science } }'
chicago: 'Kirchhoff, Jonas, Christoph Weskamp, and Gregor Engels. “Requirements-Based
Composition of Tailored Decision Support Systems.” In Human-Centered Software
Engineering, edited by Regina Bernhaupt, Carmelo Ardito, and Stefan Sauer,
13482:150–162. Lecture Notes in Computer Science . Cham: Springer International
Publishing, 2022. https://doi.org/10.1007/978-3-031-14785-2_10.'
ieee: 'J. Kirchhoff, C. Weskamp, and G. Engels, “Requirements-Based Composition
of Tailored Decision Support Systems,” in Human-Centered Software Engineering,
2022, vol. 13482, pp. 150–162, doi: 10.1007/978-3-031-14785-2_10.'
mla: Kirchhoff, Jonas, et al. “Requirements-Based Composition of Tailored Decision
Support Systems.” Human-Centered Software Engineering, edited by Regina
Bernhaupt et al., vol. 13482, Springer International Publishing, 2022, pp. 150–162,
doi:10.1007/978-3-031-14785-2_10.
short: 'J. Kirchhoff, C. Weskamp, G. Engels, in: R. Bernhaupt, C. Ardito, S. Sauer
(Eds.), Human-Centered Software Engineering, Springer International Publishing,
Cham, 2022, pp. 150–162.'
conference:
name: Human-Centered Software Engineering
date_created: 2022-09-07T08:35:38Z
date_updated: 2022-09-07T08:55:43Z
department:
- _id: '534'
- _id: '66'
doi: 10.1007/978-3-031-14785-2_10
editor:
- first_name: Regina
full_name: Bernhaupt, Regina
last_name: Bernhaupt
- first_name: Carmelo
full_name: Ardito, Carmelo
last_name: Ardito
- first_name: Stefan
full_name: Sauer, Stefan
last_name: Sauer
intvolume: ' 13482'
language:
- iso: eng
page: 150–162
place: Cham
publication: Human-Centered Software Engineering
publication_identifier:
isbn:
- 978-3-031-14785-2
publisher: Springer International Publishing
series_title: 'Lecture Notes in Computer Science '
status: public
title: Requirements-Based Composition of Tailored Decision Support Systems
type: conference
user_id: '39928'
volume: 13482
year: '2022'
...
---
_id: '33288'
author:
- first_name: Elmar
full_name: Moritzer, Elmar
id: '20531'
last_name: Moritzer
- first_name: Franziska Isabelle
full_name: Bürenhaus, Franziska Isabelle
id: '41055'
last_name: Bürenhaus
citation:
ama: 'Moritzer E, Bürenhaus FI. Influence of Screw Design on Fiber Breakage of Glass
Fiber Reinforced Polypropylene in the Injection Molding Process. In: 37th International
Conference of the Polymer Processing Society (PPS). ; 2022.'
apa: Moritzer, E., & Bürenhaus, F. I. (2022). Influence of Screw Design on Fiber
Breakage of Glass Fiber Reinforced Polypropylene in the Injection Molding Process.
37th International Conference of the Polymer Processing Society (PPS).
37th International Conference of the Polymer Processing Society (PPS), Fukuoka
(Japan).
bibtex: '@inproceedings{Moritzer_Bürenhaus_2022, place={Fukuoka (Japan)}, title={Influence
of Screw Design on Fiber Breakage of Glass Fiber Reinforced Polypropylene in the
Injection Molding Process}, booktitle={37th International Conference of the Polymer
Processing Society (PPS)}, author={Moritzer, Elmar and Bürenhaus, Franziska Isabelle},
year={2022} }'
chicago: Moritzer, Elmar, and Franziska Isabelle Bürenhaus. “Influence of Screw
Design on Fiber Breakage of Glass Fiber Reinforced Polypropylene in the Injection
Molding Process.” In 37th International Conference of the Polymer Processing
Society (PPS). Fukuoka (Japan), 2022.
ieee: E. Moritzer and F. I. Bürenhaus, “Influence of Screw Design on Fiber Breakage
of Glass Fiber Reinforced Polypropylene in the Injection Molding Process,” presented
at the 37th International Conference of the Polymer Processing Society (PPS),
Fukuoka (Japan), 2022.
mla: Moritzer, Elmar, and Franziska Isabelle Bürenhaus. “Influence of Screw Design
on Fiber Breakage of Glass Fiber Reinforced Polypropylene in the Injection Molding
Process.” 37th International Conference of the Polymer Processing Society (PPS),
2022.
short: 'E. Moritzer, F.I. Bürenhaus, in: 37th International Conference of the Polymer
Processing Society (PPS), Fukuoka (Japan), 2022.'
conference:
location: Fukuoka (Japan)
name: 37th International Conference of the Polymer Processing Society (PPS)
date_created: 2022-09-08T08:23:16Z
date_updated: 2022-09-08T08:23:29Z
department:
- _id: '9'
- _id: '367'
- _id: '321'
language:
- iso: eng
place: Fukuoka (Japan)
publication: 37th International Conference of the Polymer Processing Society (PPS)
status: public
title: Influence of Screw Design on Fiber Breakage of Glass Fiber Reinforced Polypropylene
in the Injection Molding Process
type: conference
user_id: '44116'
year: '2022'
...
---
_id: '33286'
author:
- first_name: Matthias
full_name: Hopp, Matthias
id: '13142'
last_name: Hopp
- first_name: Lisa
full_name: Tölle, Lisa
id: '82465'
last_name: Tölle
- first_name: C.
full_name: Monsé, C.
last_name: Monsé
- first_name: N.
full_name: Rosenkranz, N.
last_name: Rosenkranz
- first_name: N.
full_name: Haibel, N.
last_name: Haibel
- first_name: D.
full_name: Walter, D.
last_name: Walter
- first_name: J.
full_name: Bünger, J.
last_name: Bünger
- first_name: G.
full_name: Westphal, G.
last_name: Westphal
citation:
ama: Hopp M, Tölle L, Monsé C, et al. Characterization of Fiber Dust Resulting from
Recycling of Carbon Fiber-Reinforced Thermoplastics (CFRP) and Their Cell Toxicity.
Journal of Material Science and Chemical Engineering. 2022.
apa: Hopp, M., Tölle, L., Monsé, C., Rosenkranz, N., Haibel, N., Walter, D., Bünger,
J., & Westphal, G. (2022). Characterization of Fiber Dust Resulting from Recycling
of Carbon Fiber-Reinforced Thermoplastics (CFRP) and Their Cell Toxicity. Journal
of Material Science and Chemical Engineering.
bibtex: '@article{Hopp_Tölle_Monsé_Rosenkranz_Haibel_Walter_Bünger_Westphal_2022,
title={Characterization of Fiber Dust Resulting from Recycling of Carbon Fiber-Reinforced
Thermoplastics (CFRP) and Their Cell Toxicity}, journal={Journal of Material Science
and Chemical Engineering}, author={Hopp, Matthias and Tölle, Lisa and Monsé, C.
and Rosenkranz, N. and Haibel, N. and Walter, D. and Bünger, J. and Westphal,
G.}, year={2022} }'
chicago: Hopp, Matthias, Lisa Tölle, C. Monsé, N. Rosenkranz, N. Haibel, D. Walter,
J. Bünger, and G. Westphal. “Characterization of Fiber Dust Resulting from Recycling
of Carbon Fiber-Reinforced Thermoplastics (CFRP) and Their Cell Toxicity.” Journal
of Material Science and Chemical Engineering, 2022.
ieee: M. Hopp et al., “Characterization of Fiber Dust Resulting from Recycling
of Carbon Fiber-Reinforced Thermoplastics (CFRP) and Their Cell Toxicity,” Journal
of Material Science and Chemical Engineering, 2022.
mla: Hopp, Matthias, et al. “Characterization of Fiber Dust Resulting from Recycling
of Carbon Fiber-Reinforced Thermoplastics (CFRP) and Their Cell Toxicity.” Journal
of Material Science and Chemical Engineering, 2022.
short: M. Hopp, L. Tölle, C. Monsé, N. Rosenkranz, N. Haibel, D. Walter, J. Bünger,
G. Westphal, Journal of Material Science and Chemical Engineering (2022).
date_created: 2022-09-08T08:18:38Z
date_updated: 2022-09-08T08:18:45Z
department:
- _id: '9'
- _id: '367'
- _id: '321'
language:
- iso: eng
publication: Journal of Material Science and Chemical Engineering
publication_date: '2022'
publication_identifier:
issn:
- 2327-6053
status: public
title: Characterization of Fiber Dust Resulting from Recycling of Carbon Fiber-Reinforced
Thermoplastics (CFRP) and Their Cell Toxicity
type: newspaper_article
user_id: '44116'
year: '2022'
...
---
_id: '33290'
author:
- first_name: Elmar
full_name: Moritzer, Elmar
id: '20531'
last_name: Moritzer
- first_name: Denis
full_name: Scheiermann, Denis
id: '29161'
last_name: Scheiermann
- first_name: Denisa
full_name: Bellusova, Denisa
last_name: Bellusova
- first_name: Benjamin
full_name: Klie, Benjamin
last_name: Klie
- first_name: Ulrich
full_name: Giese, Ulrich
last_name: Giese
citation:
ama: 'Moritzer E, Scheiermann D, Bellusova D, Klie B, Giese U. Multimaterial Injection
Moulding of Thermosets and Elastomers. In: ScienceBG. ; 2022.'
apa: Moritzer, E., Scheiermann, D., Bellusova, D., Klie, B., & Giese, U. (2022).
Multimaterial Injection Moulding of Thermosets and Elastomers. ScienceBG.
ScienceBG, Burgas (Bulgaria).
bibtex: '@inproceedings{Moritzer_Scheiermann_Bellusova_Klie_Giese_2022, place={Burgas
(Bulgaria)}, title={Multimaterial Injection Moulding of Thermosets and Elastomers},
booktitle={ScienceBG}, author={Moritzer, Elmar and Scheiermann, Denis and Bellusova,
Denisa and Klie, Benjamin and Giese, Ulrich}, year={2022} }'
chicago: Moritzer, Elmar, Denis Scheiermann, Denisa Bellusova, Benjamin Klie, and
Ulrich Giese. “Multimaterial Injection Moulding of Thermosets and Elastomers.”
In ScienceBG. Burgas (Bulgaria), 2022.
ieee: E. Moritzer, D. Scheiermann, D. Bellusova, B. Klie, and U. Giese, “Multimaterial
Injection Moulding of Thermosets and Elastomers,” presented at the ScienceBG,
Burgas (Bulgaria), 2022.
mla: Moritzer, Elmar, et al. “Multimaterial Injection Moulding of Thermosets and
Elastomers.” ScienceBG, 2022.
short: 'E. Moritzer, D. Scheiermann, D. Bellusova, B. Klie, U. Giese, in: ScienceBG,
Burgas (Bulgaria), 2022.'
conference:
location: Burgas (Bulgaria)
name: ScienceBG
date_created: 2022-09-08T08:28:19Z
date_updated: 2022-09-08T08:28:22Z
department:
- _id: '9'
- _id: '367'
- _id: '321'
language:
- iso: eng
place: Burgas (Bulgaria)
publication: ScienceBG
status: public
title: Multimaterial Injection Moulding of Thermosets and Elastomers
type: conference
user_id: '44116'
year: '2022'
...
---
_id: '33292'
author:
- first_name: Elmar
full_name: Moritzer, Elmar
id: '20531'
last_name: Moritzer
- first_name: Denis
full_name: Scheiermann, Denis
id: '29161'
last_name: Scheiermann
- first_name: Denisa
full_name: Bellusova, Denisa
last_name: Bellusova
- first_name: 'Benjamin '
full_name: 'Klie, Benjamin '
last_name: Klie
- first_name: Ulrich
full_name: Giese, Ulrich
last_name: Giese
citation:
ama: Moritzer E, Scheiermann D, Bellusova D, Klie B, Giese U. Spritzgießen hochtemperaturbeständiger
Baugruppen aus Duromeren und Elastomeren. Kunststoffland NRW. 2022:34-35.
apa: Moritzer, E., Scheiermann, D., Bellusova, D., Klie, B., & Giese, U. (2022).
Spritzgießen hochtemperaturbeständiger Baugruppen aus Duromeren und Elastomeren.
Kunststoffland NRW, 34–35.
bibtex: '@article{Moritzer_Scheiermann_Bellusova_Klie_Giese_2022, title={Spritzgießen
hochtemperaturbeständiger Baugruppen aus Duromeren und Elastomeren}, journal={Kunststoffland
NRW}, author={Moritzer, Elmar and Scheiermann, Denis and Bellusova, Denisa and
Klie, Benjamin and Giese, Ulrich}, year={2022}, pages={34–35} }'
chicago: Moritzer, Elmar, Denis Scheiermann, Denisa Bellusova, Benjamin Klie, and
Ulrich Giese. “Spritzgießen Hochtemperaturbeständiger Baugruppen Aus Duromeren
Und Elastomeren.” Kunststoffland NRW, 2022.
ieee: E. Moritzer, D. Scheiermann, D. Bellusova, B. Klie, and U. Giese, “Spritzgießen
hochtemperaturbeständiger Baugruppen aus Duromeren und Elastomeren,” Kunststoffland
NRW, pp. 34–35, 2022.
mla: Moritzer, Elmar, et al. “Spritzgießen Hochtemperaturbeständiger Baugruppen
Aus Duromeren Und Elastomeren.” Kunststoffland NRW, 2022, pp. 34–35.
short: E. Moritzer, D. Scheiermann, D. Bellusova, B. Klie, U. Giese, Kunststoffland
NRW (2022) 34–35.
date_created: 2022-09-08T08:34:14Z
date_updated: 2022-09-08T08:34:24Z
department:
- _id: '9'
- _id: '367'
- _id: '321'
language:
- iso: eng
page: 34-35
publication: Kunststoffland NRW
publication_date: '2022'
status: public
title: Spritzgießen hochtemperaturbeständiger Baugruppen aus Duromeren und Elastomeren
type: newspaper_article
user_id: '44116'
year: '2022'
...
---
_id: '33296'
author:
- first_name: Elmar
full_name: Moritzer, Elmar
id: '20531'
last_name: Moritzer
- first_name: 'Dennis '
full_name: 'Netzband, Dennis '
last_name: Netzband
- first_name: 'Andreas '
full_name: 'Ujma, Andreas '
last_name: Ujma
citation:
ama: 'Moritzer E, Netzband D, Ujma A. Messtechnische Ermittlung der Strukurintensität
bei spritzgegossenen, faserverstärkten Kunststoffen. In: ; 2022.'
apa: Moritzer, E., Netzband, D., & Ujma, A. (2022). Messtechnische Ermittlung
der Strukurintensität bei spritzgegossenen, faserverstärkten Kunststoffen.
bibtex: '@inproceedings{Moritzer_Netzband_Ujma_2022, title={Messtechnische Ermittlung
der Strukurintensität bei spritzgegossenen, faserverstärkten Kunststoffen}, author={Moritzer,
Elmar and Netzband, Dennis and Ujma, Andreas }, year={2022} }'
chicago: Moritzer, Elmar, Dennis Netzband, and Andreas Ujma. “Messtechnische Ermittlung
Der Strukurintensität Bei Spritzgegossenen, Faserverstärkten Kunststoffen,” 2022.
ieee: E. Moritzer, D. Netzband, and A. Ujma, “Messtechnische Ermittlung der Strukurintensität
bei spritzgegossenen, faserverstärkten Kunststoffen,” 2022.
mla: Moritzer, Elmar, et al. Messtechnische Ermittlung Der Strukurintensität
Bei Spritzgegossenen, Faserverstärkten Kunststoffen. 2022.
short: 'E. Moritzer, D. Netzband, A. Ujma, in: 2022.'
date_created: 2022-09-08T08:47:50Z
date_updated: 2022-09-08T08:47:59Z
department:
- _id: '9'
- _id: '367'
- _id: '321'
language:
- iso: eng
status: public
title: Messtechnische Ermittlung der Strukurintensität bei spritzgegossenen, faserverstärkten
Kunststoffen
type: conference
user_id: '44116'
year: '2022'
...
---
_id: '33332'
article_number: '2200049'
author:
- first_name: Frederik
full_name: Bopp, Frederik
last_name: Bopp
- first_name: Jonathan
full_name: Rojas, Jonathan
last_name: Rojas
- first_name: Natalia
full_name: Revenga, Natalia
last_name: Revenga
- first_name: Hubert
full_name: Riedl, Hubert
last_name: Riedl
- first_name: Friedrich
full_name: Sbresny, Friedrich
last_name: Sbresny
- first_name: Katarina
full_name: Boos, Katarina
last_name: Boos
- first_name: Tobias
full_name: Simmet, Tobias
last_name: Simmet
- first_name: Arash
full_name: Ahmadi, Arash
last_name: Ahmadi
- first_name: David
full_name: Gershoni, David
last_name: Gershoni
- first_name: Jacek
full_name: Kasprzak, Jacek
last_name: Kasprzak
- first_name: Arne
full_name: Ludwig, Arne
last_name: Ludwig
- first_name: Stephan
full_name: Reitzenstein, Stephan
last_name: Reitzenstein
- first_name: Andreas
full_name: Wieck, Andreas
last_name: Wieck
- first_name: Dirk
full_name: Reuter, Dirk
id: '37763'
last_name: Reuter
- first_name: Kai
full_name: Müller, Kai
last_name: Müller
- first_name: Jonathan J.
full_name: Finley, Jonathan J.
last_name: Finley
citation:
ama: Bopp F, Rojas J, Revenga N, et al. Quantum Dot Molecule Devices with Optical
Control of Charge Status and Electronic Control of Coupling. Advanced Quantum
Technologies. Published online 2022. doi:10.1002/qute.202200049
apa: Bopp, F., Rojas, J., Revenga, N., Riedl, H., Sbresny, F., Boos, K., Simmet,
T., Ahmadi, A., Gershoni, D., Kasprzak, J., Ludwig, A., Reitzenstein, S., Wieck,
A., Reuter, D., Müller, K., & Finley, J. J. (2022). Quantum Dot Molecule Devices
with Optical Control of Charge Status and Electronic Control of Coupling. Advanced
Quantum Technologies, Article 2200049. https://doi.org/10.1002/qute.202200049
bibtex: '@article{Bopp_Rojas_Revenga_Riedl_Sbresny_Boos_Simmet_Ahmadi_Gershoni_Kasprzak_et
al._2022, title={Quantum Dot Molecule Devices with Optical Control of Charge Status
and Electronic Control of Coupling}, DOI={10.1002/qute.202200049},
number={2200049}, journal={Advanced Quantum Technologies}, publisher={Wiley},
author={Bopp, Frederik and Rojas, Jonathan and Revenga, Natalia and Riedl, Hubert
and Sbresny, Friedrich and Boos, Katarina and Simmet, Tobias and Ahmadi, Arash
and Gershoni, David and Kasprzak, Jacek and et al.}, year={2022} }'
chicago: Bopp, Frederik, Jonathan Rojas, Natalia Revenga, Hubert Riedl, Friedrich
Sbresny, Katarina Boos, Tobias Simmet, et al. “Quantum Dot Molecule Devices with
Optical Control of Charge Status and Electronic Control of Coupling.” Advanced
Quantum Technologies, 2022. https://doi.org/10.1002/qute.202200049.
ieee: 'F. Bopp et al., “Quantum Dot Molecule Devices with Optical Control
of Charge Status and Electronic Control of Coupling,” Advanced Quantum Technologies,
Art. no. 2200049, 2022, doi: 10.1002/qute.202200049.'
mla: Bopp, Frederik, et al. “Quantum Dot Molecule Devices with Optical Control of
Charge Status and Electronic Control of Coupling.” Advanced Quantum Technologies,
2200049, Wiley, 2022, doi:10.1002/qute.202200049.
short: F. Bopp, J. Rojas, N. Revenga, H. Riedl, F. Sbresny, K. Boos, T. Simmet,
A. Ahmadi, D. Gershoni, J. Kasprzak, A. Ludwig, S. Reitzenstein, A. Wieck, D.
Reuter, K. Müller, J.J. Finley, Advanced Quantum Technologies (2022).
date_created: 2022-09-12T07:17:26Z
date_updated: 2022-09-12T07:18:06Z
department:
- _id: '15'
- _id: '230'
doi: 10.1002/qute.202200049
keyword:
- Electrical and Electronic Engineering
- Computational Theory and Mathematics
- Condensed Matter Physics
- Mathematical Physics
- Nuclear and High Energy Physics
- Electronic
- Optical and Magnetic Materials
- Statistical and Nonlinear Physics
language:
- iso: eng
publication: Advanced Quantum Technologies
publication_identifier:
issn:
- 2511-9044
- 2511-9044
publication_status: published
publisher: Wiley
status: public
title: Quantum Dot Molecule Devices with Optical Control of Charge Status and Electronic
Control of Coupling
type: journal_article
user_id: '42514'
year: '2022'
...
---
_id: '33355'
author:
- first_name: Sven Helge
full_name: Klippstein, Sven Helge
id: '71545'
last_name: Klippstein
citation:
ama: 'Klippstein SH. Neue Polymerwerkstoffe - Der Schlüssel für die Industrialisierung.
In: 7. AM Forum Berlin; 2022.'
apa: Klippstein, S. H. (2022). Neue Polymerwerkstoffe - Der Schlüssel für die
Industrialisierung. AM Forum Berlin, Berlin.
bibtex: '@inproceedings{Klippstein_2022, title={Neue Polymerwerkstoffe - Der Schlüssel
für die Industrialisierung}, publisher={7. AM Forum Berlin}, author={Klippstein,
Sven Helge}, year={2022} }'
chicago: Klippstein, Sven Helge. “Neue Polymerwerkstoffe - Der Schlüssel für die
Industrialisierung.” 7. AM Forum Berlin, 2022.
ieee: S. H. Klippstein, “Neue Polymerwerkstoffe - Der Schlüssel für die Industrialisierung,”
presented at the AM Forum Berlin, Berlin, 2022.
mla: Klippstein, Sven Helge. Neue Polymerwerkstoffe - Der Schlüssel für die Industrialisierung.
7. AM Forum Berlin, 2022.
short: 'S.H. Klippstein, in: 7. AM Forum Berlin, 2022.'
conference:
location: Berlin
name: AM Forum Berlin
start_date: 2022-07-06
date_created: 2022-09-13T16:37:17Z
date_updated: 2022-09-13T16:38:43Z
department:
- _id: '150'
- _id: '624'
- _id: '219'
language:
- iso: ger
publisher: 7. AM Forum Berlin
status: public
title: Neue Polymerwerkstoffe - Der Schlüssel für die Industrialisierung
type: conference_abstract
user_id: '71545'
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: '33510'
abstract:
- lang: eng
text: In the manufacture of real wood products, defects can quickly occur during
the production process. To quickly sort out these defects, a system is needed
that finds damage in the irregularly structured surfaces of the product. The difficulty
in this task is that each surface is visually different and no standard defects
can be defined. Thus, damage detection using correlation does not work, so this
paper will test different machine learning methods. To evaluate different machine
learning methods, a data set is needed. For this reason, the available samples
were recorded manually using a static fixed camera. Subsequently, the images were
divided into sub-images, which resulted in a relatively small data set. Next,
a convolutional neural network (CNN) was constructed to classify the images. However,
this approach did not lead to a generalized solution, so the dataset was hashed
using the a- and pHash. These hash values were then trained with a fully supervised
system that will later serve as a reference model, in the semi-supervised learning
procedures. To improve the supervised model and not have to label every data point,
semi-supervised learning methods are used in the following. For this purpose,
the CEAL method (wrapper method) is considered in the first and then the Π-Model
(intrinsically semi-supervised).
author:
- first_name: Tom
full_name: Sander, Tom
last_name: Sander
- first_name: Sven
full_name: Lange, Sven
id: '38240'
last_name: Lange
- first_name: Ulrich
full_name: Hilleringmann, Ulrich
last_name: Hilleringmann
- first_name: Volker
full_name: Geneiß, Volker
last_name: Geneiß
- first_name: Christian
full_name: Hedayat, Christian
last_name: Hedayat
- first_name: Harald
full_name: Kuhn, Harald
last_name: Kuhn
citation:
ama: 'Sander T, Lange S, Hilleringmann U, Geneiß V, Hedayat C, Kuhn H. Detection
of Defects on Irregularly Structured Surfaces using Supervised and Semi-Supervised
Learning Methods. In: 2022 Smart Systems Integration (SSI). IEEE; 2022.
doi:10.1109/ssi56489.2022.9901433'
apa: Sander, T., Lange, S., Hilleringmann, U., Geneiß, V., Hedayat, C., & Kuhn,
H. (2022). Detection of Defects on Irregularly Structured Surfaces using Supervised
and Semi-Supervised Learning Methods. 2022 Smart Systems Integration (SSI).
2022 Smart Systems Integration (SSI), Grenoble, France. https://doi.org/10.1109/ssi56489.2022.9901433
bibtex: '@inproceedings{Sander_Lange_Hilleringmann_Geneiß_Hedayat_Kuhn_2022, place={Grenoble,
France}, title={Detection of Defects on Irregularly Structured Surfaces using
Supervised and Semi-Supervised Learning Methods}, DOI={10.1109/ssi56489.2022.9901433},
booktitle={2022 Smart Systems Integration (SSI)}, publisher={IEEE}, author={Sander,
Tom and Lange, Sven and Hilleringmann, Ulrich and Geneiß, Volker and Hedayat,
Christian and Kuhn, Harald}, year={2022} }'
chicago: 'Sander, Tom, Sven Lange, Ulrich Hilleringmann, Volker Geneiß, Christian
Hedayat, and Harald Kuhn. “Detection of Defects on Irregularly Structured Surfaces
Using Supervised and Semi-Supervised Learning Methods.” In 2022 Smart Systems
Integration (SSI). Grenoble, France: IEEE, 2022. https://doi.org/10.1109/ssi56489.2022.9901433.'
ieee: 'T. Sander, S. Lange, U. Hilleringmann, V. Geneiß, C. Hedayat, and H. Kuhn,
“Detection of Defects on Irregularly Structured Surfaces using Supervised and
Semi-Supervised Learning Methods,” presented at the 2022 Smart Systems Integration
(SSI), Grenoble, France, 2022, doi: 10.1109/ssi56489.2022.9901433.'
mla: Sander, Tom, et al. “Detection of Defects on Irregularly Structured Surfaces
Using Supervised and Semi-Supervised Learning Methods.” 2022 Smart Systems
Integration (SSI), IEEE, 2022, doi:10.1109/ssi56489.2022.9901433.
short: 'T. Sander, S. Lange, U. Hilleringmann, V. Geneiß, C. Hedayat, H. Kuhn, 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: 2022-10-04T11:35:55Z
date_updated: 2022-10-04T11:37:39Z
department:
- _id: '59'
- _id: '485'
doi: 10.1109/ssi56489.2022.9901433
keyword:
- Machine Learning
- CNN
- Hashing
- semi-supervised learning
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/document/9901433
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_status: published
publisher: IEEE
status: public
title: Detection of Defects on Irregularly Structured Surfaces using Supervised and
Semi-Supervised Learning Methods
type: conference
user_id: '38240'
year: '2022'
...
---
_id: '33516'
author:
- first_name: 'Masud '
full_name: 'Fazal-Baqaie, Masud '
last_name: Fazal-Baqaie
- first_name: Oliver
full_name: Linssen, Oliver
last_name: Linssen
- first_name: Alexander
full_name: Volland, Alexander
last_name: Volland
- first_name: Enes
full_name: Yigitbas, Enes
id: '8447'
last_name: Yigitbas
orcid: 0000-0002-5967-833X
- first_name: Martin
full_name: Engstler, Martin
last_name: Engstler
- first_name: Martin
full_name: Bertram, Martin
last_name: Bertram
- first_name: Axel
full_name: Kalenborn, Axel
last_name: Kalenborn
citation:
ama: Fazal-Baqaie M, Linssen O, Volland A, et al. Projektmanagement Und Vorgehensmodelle
2022. Virtuelle Zusammenarbeit Und Verlorene Kulturen? Vol P 327. Gesellschaft
für Informatik e.V.; 2022.
apa: Fazal-Baqaie, M., Linssen, O., Volland, A., Yigitbas, E., Engstler, M., Bertram,
M., & Kalenborn, A. (2022). Projektmanagement und Vorgehensmodelle 2022.
Virtuelle Zusammenarbeit und verlorene Kulturen? Vol. P 327. Gesellschaft
für Informatik e.V.
bibtex: '@book{Fazal-Baqaie_Linssen_Volland_Yigitbas_Engstler_Bertram_Kalenborn_2022,
series={LNI}, title={Projektmanagement und Vorgehensmodelle 2022. Virtuelle Zusammenarbeit
und verlorene Kulturen?}, volume={P 327}, publisher={Gesellschaft für Informatik
e.V.}, author={Fazal-Baqaie, Masud and Linssen, Oliver and Volland, Alexander
and Yigitbas, Enes and Engstler, Martin and Bertram, Martin and Kalenborn, Axel},
year={2022}, collection={LNI} }'
chicago: Fazal-Baqaie, Masud , Oliver Linssen, Alexander Volland, Enes Yigitbas,
Martin Engstler, Martin Bertram, and Axel Kalenborn. Projektmanagement Und
Vorgehensmodelle 2022. Virtuelle Zusammenarbeit Und Verlorene Kulturen? Vol.
P 327. LNI. Gesellschaft für Informatik e.V., 2022.
ieee: M. Fazal-Baqaie et al., Projektmanagement und Vorgehensmodelle 2022.
Virtuelle Zusammenarbeit und verlorene Kulturen?, vol. P 327. Gesellschaft
für Informatik e.V., 2022.
mla: Fazal-Baqaie, Masud, et al. Projektmanagement Und Vorgehensmodelle 2022.
Virtuelle Zusammenarbeit Und Verlorene Kulturen? Gesellschaft für Informatik
e.V., 2022.
short: M. Fazal-Baqaie, O. Linssen, A. Volland, E. Yigitbas, M. Engstler, M. Bertram,
A. Kalenborn, Projektmanagement Und Vorgehensmodelle 2022. Virtuelle Zusammenarbeit
Und Verlorene Kulturen?, Gesellschaft für Informatik e.V., 2022.
date_created: 2022-10-04T13:48:14Z
date_updated: 2022-10-04T13:48:28Z
department:
- _id: '66'
- _id: '534'
language:
- iso: eng
publisher: Gesellschaft für Informatik e.V.
series_title: LNI
status: public
title: Projektmanagement und Vorgehensmodelle 2022. Virtuelle Zusammenarbeit und verlorene
Kulturen?
type: book
user_id: '8447'
volume: P 327
year: '2022'
...
---
_id: '33836'
author:
- first_name: Goran
full_name: Piskachev, Goran
id: '41936'
last_name: Piskachev
orcid: 0000-0003-4424-5838
- first_name: Johannes
full_name: Späth, Johannes
last_name: Späth
- first_name: Ingo
full_name: Budde, Ingo
id: '13693'
last_name: Budde
orcid: https://orcid.org/0000-0003-0124-6291
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: Piskachev G, Späth J, Budde I, Bodden E. Fluently specifying taint-flow queries
with fluentTQL. Empirical Software Engineering. 2022;27(5):1–33.
apa: Piskachev, G., Späth, J., Budde, I., & Bodden, E. (2022). Fluently specifying
taint-flow queries with fluentTQL. Empirical Software Engineering, 27(5),
1–33.
bibtex: '@article{Piskachev_Späth_Budde_Bodden_2022, title={Fluently specifying
taint-flow queries with fluentTQL}, volume={27}, number={5}, journal={Empirical
Software Engineering}, publisher={Springer}, author={Piskachev, Goran and Späth,
Johannes and Budde, Ingo and Bodden, Eric}, year={2022}, pages={1–33} }'
chicago: 'Piskachev, Goran, Johannes Späth, Ingo Budde, and Eric Bodden. “Fluently
Specifying Taint-Flow Queries with FluentTQL.” Empirical Software Engineering
27, no. 5 (2022): 1–33.'
ieee: G. Piskachev, J. Späth, I. Budde, and E. Bodden, “Fluently specifying taint-flow
queries with fluentTQL,” Empirical Software Engineering, vol. 27, no. 5,
pp. 1–33, 2022.
mla: Piskachev, Goran, et al. “Fluently Specifying Taint-Flow Queries with FluentTQL.”
Empirical Software Engineering, vol. 27, no. 5, Springer, 2022, pp. 1–33.
short: G. Piskachev, J. Späth, I. Budde, E. Bodden, Empirical Software Engineering
27 (2022) 1–33.
date_created: 2022-10-20T12:34:04Z
date_updated: 2022-10-20T12:36:23Z
department:
- _id: '76'
- _id: '662'
intvolume: ' 27'
issue: '5'
language:
- iso: eng
page: 1–33
publication: Empirical Software Engineering
publisher: Springer
status: public
title: Fluently specifying taint-flow queries with fluentTQL
type: journal_article
user_id: '15249'
volume: 27
year: '2022'
...