---
_id: '22304'
author:
- first_name: Stefan
  full_name: Schott, Stefan
  id: '54847'
  last_name: Schott
citation:
  ama: Schott S. <i>Android App Analysis Benchmark Case Generation</i>. Paderborn;
    2021.
  apa: Schott, S. (2021). <i>Android App Analysis Benchmark Case Generation</i>. Paderborn.
  bibtex: '@book{Schott_2021, place={Paderborn}, title={Android App Analysis Benchmark
    Case Generation}, author={Schott, Stefan}, year={2021} }'
  chicago: Schott, Stefan. <i>Android App Analysis Benchmark Case Generation</i>.
    Paderborn, 2021.
  ieee: S. Schott, <i>Android App Analysis Benchmark Case Generation</i>. Paderborn,
    2021.
  mla: Schott, Stefan. <i>Android App Analysis Benchmark Case Generation</i>. 2021.
  short: S. Schott, Android App Analysis Benchmark Case Generation, Paderborn, 2021.
date_created: 2021-06-09T06:04:12Z
date_updated: 2022-01-06T06:55:31Z
ddc:
- '000'
department:
- _id: '77'
extern: '1'
file:
- access_level: open_access
  content_type: application/pdf
  creator: fpauck
  date_created: 2021-06-09T06:01:45Z
  date_updated: 2021-06-09T06:01:45Z
  file_id: '22305'
  file_name: Masters_Thesis_Stefan_Schott_unsigned.pdf
  file_size: 1918444
  relation: main_file
file_date_updated: 2021-06-09T06:01:45Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
place: Paderborn
project:
- _id: '1'
  name: SFB 901
- _id: '12'
  name: SFB 901 - Subproject B4
- _id: '3'
  name: SFB 901 - Project Area B
status: public
supervisor:
- first_name: Heike
  full_name: Wehrheim, Heike
  id: '573'
  last_name: Wehrheim
title: Android App Analysis Benchmark Case Generation
type: mastersthesis
user_id: '477'
year: '2021'
...
---
_id: '22306'
author:
- first_name: Christian
  full_name: Koldewey, Christian
  id: '43136'
  last_name: Koldewey
  orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Jürgen
  full_name: Gausemeier, Jürgen
  id: '163'
  last_name: Gausemeier
- first_name: Roman
  full_name: Dumitrescu, Roman
  id: '16190'
  last_name: Dumitrescu
- first_name: Hans-Heinrich
  full_name: Evers, Hans-Heinrich
  last_name: Evers
- first_name: Maximilian
  full_name: Frank, Maximilian
  last_name: Frank
- first_name: Jannik
  full_name: Reinhold, Jannik
  id: '33669'
  last_name: Reinhold
citation:
  ama: 'Koldewey C, Gausemeier J, Dumitrescu R, Evers H-H, Frank M, Reinhold J. Development
    Process for Smart Service Strategies: Grasping the Potentials of Digitalization
    for Servitization. In: Schallmo DR, Tidd J, eds. <i>Digitalization</i>. Management
    for Professionals. Springer Nature; 2021:205-237. doi:<a href="https://doi.org/10.1007/978-3-030-69380-0_12#DOI">https://doi.org/10.1007/978-3-030-69380-0_12#DOI</a>'
  apa: 'Koldewey, C., Gausemeier, J., Dumitrescu, R., Evers, H.-H., Frank, M., &#38;
    Reinhold, J. (2021). Development Process for Smart Service Strategies: Grasping
    the Potentials of Digitalization for Servitization. In D. R. Schallmo &#38; J.
    Tidd (Eds.), <i>Digitalization</i> (pp. 205–237). Springer Nature. <a href="https://doi.org/10.1007/978-3-030-69380-0_12#DOI">https://doi.org/10.1007/978-3-030-69380-0_12#DOI</a>'
  bibtex: '@inbook{Koldewey_Gausemeier_Dumitrescu_Evers_Frank_Reinhold_2021, place={Cham},
    series={Management for Professionals}, title={Development Process for Smart Service
    Strategies: Grasping the Potentials of Digitalization for Servitization}, DOI={<a
    href="https://doi.org/10.1007/978-3-030-69380-0_12#DOI">https://doi.org/10.1007/978-3-030-69380-0_12#DOI</a>},
    booktitle={Digitalization}, publisher={Springer Nature}, author={Koldewey, Christian
    and Gausemeier, Jürgen and Dumitrescu, Roman and Evers, Hans-Heinrich and Frank,
    Maximilian and Reinhold, Jannik}, editor={Schallmo, Daniel R. and Tidd, Joseph},
    year={2021}, pages={205–237}, collection={Management for Professionals} }'
  chicago: 'Koldewey, Christian, Jürgen Gausemeier, Roman Dumitrescu, Hans-Heinrich
    Evers, Maximilian Frank, and Jannik Reinhold. “Development Process for Smart Service
    Strategies: Grasping the Potentials of Digitalization for Servitization.” In <i>Digitalization</i>,
    edited by Daniel R. Schallmo and Joseph Tidd, 205–37. Management for Professionals.
    Cham: Springer Nature, 2021. <a href="https://doi.org/10.1007/978-3-030-69380-0_12#DOI">https://doi.org/10.1007/978-3-030-69380-0_12#DOI</a>.'
  ieee: 'C. Koldewey, J. Gausemeier, R. Dumitrescu, H.-H. Evers, M. Frank, and J.
    Reinhold, “Development Process for Smart Service Strategies: Grasping the Potentials
    of Digitalization for Servitization,” in <i>Digitalization</i>, D. R. Schallmo
    and J. Tidd, Eds. Cham: Springer Nature, 2021, pp. 205–237.'
  mla: 'Koldewey, Christian, et al. “Development Process for Smart Service Strategies:
    Grasping the Potentials of Digitalization for Servitization.” <i>Digitalization</i>,
    edited by Daniel R. Schallmo and Joseph Tidd, Springer Nature, 2021, pp. 205–37,
    doi:<a href="https://doi.org/10.1007/978-3-030-69380-0_12#DOI">https://doi.org/10.1007/978-3-030-69380-0_12#DOI</a>.'
  short: 'C. Koldewey, J. Gausemeier, R. Dumitrescu, H.-H. Evers, M. Frank, J. Reinhold,
    in: D.R. Schallmo, J. Tidd (Eds.), Digitalization, Springer Nature, Cham, 2021,
    pp. 205–237.'
date_created: 2021-06-09T13:07:05Z
date_updated: 2022-01-06T06:55:31Z
department:
- _id: '563'
doi: https://doi.org/10.1007/978-3-030-69380-0_12#DOI
editor:
- first_name: Daniel R.
  full_name: Schallmo, Daniel R.
  last_name: Schallmo
- first_name: Joseph
  full_name: Tidd, Joseph
  last_name: Tidd
language:
- iso: eng
page: 205-237
place: Cham
publication: Digitalization
publication_status: published
publisher: Springer Nature
series_title: Management for Professionals
status: public
title: 'Development Process for Smart Service Strategies: Grasping the Potentials
  of Digitalization for Servitization'
type: book_chapter
user_id: '15782'
year: '2021'
...
---
_id: '22307'
author:
- first_name: Daniel
  full_name: Eckertz, Daniel
  last_name: Eckertz
- first_name: Marus
  full_name: Möller, Marus
  last_name: Möller
- first_name: Harald
  full_name: Anacker, Harald
  last_name: Anacker
- first_name: Roman
  full_name: Dumitrescu, Roman
  id: '16190'
  last_name: Dumitrescu
citation:
  ama: 'Eckertz D, Möller M, Anacker H, Dumitrescu R. Digital Knowledge Base for Industrial
    Augmented Reality Systems Based on Semantic Technologies. In: <i> Proceedings
    of the International Conference on Information and Computer Technologies</i>.
    ; 2021.'
  apa: Eckertz, D., Möller, M., Anacker, H., &#38; Dumitrescu, R. (2021). Digital
    Knowledge Base for Industrial Augmented Reality Systems Based on Semantic Technologies.
    In <i> Proceedings of the International Conference on Information and Computer
    Technologies</i>. Kahului, Hawaii, United States of America.
  bibtex: '@inproceedings{Eckertz_Möller_Anacker_Dumitrescu_2021, title={Digital Knowledge
    Base for Industrial Augmented Reality Systems Based on Semantic Technologies},
    booktitle={ Proceedings of the International Conference on Information and Computer
    Technologies}, author={Eckertz, Daniel and Möller, Marus and Anacker, Harald and
    Dumitrescu, Roman}, year={2021} }'
  chicago: Eckertz, Daniel, Marus Möller, Harald Anacker, and Roman Dumitrescu. “Digital
    Knowledge Base for Industrial Augmented Reality Systems Based on Semantic Technologies.”
    In <i> Proceedings of the International Conference on Information and Computer
    Technologies</i>, 2021.
  ieee: D. Eckertz, M. Möller, H. Anacker, and R. Dumitrescu, “Digital Knowledge Base
    for Industrial Augmented Reality Systems Based on Semantic Technologies,” in <i>
    Proceedings of the International Conference on Information and Computer Technologies</i>,
    Kahului, Hawaii, United States of America, 2021.
  mla: Eckertz, Daniel, et al. “Digital Knowledge Base for Industrial Augmented Reality
    Systems Based on Semantic Technologies.” <i> Proceedings of the International
    Conference on Information and Computer Technologies</i>, 2021.
  short: 'D. Eckertz, M. Möller, H. Anacker, R. Dumitrescu, in:  Proceedings of the
    International Conference on Information and Computer Technologies, 2021.'
conference:
  end_date: 2021-03-14
  location: Kahului, Hawaii, United States of America
  name: 4th International Conference on Information and Computer Technologies (ICICT
    2021)
  start_date: 2021-03-11
date_created: 2021-06-11T09:16:17Z
date_updated: 2022-01-06T06:55:31Z
department:
- _id: '563'
language:
- iso: eng
publication: ' Proceedings of the International Conference on Information and Computer
  Technologies'
status: public
title: Digital Knowledge Base for Industrial Augmented Reality Systems Based on Semantic
  Technologies
type: conference_abstract
user_id: '15782'
year: '2021'
...
---
_id: '22309'
abstract:
- lang: eng
  text: Approximate computing (AC) has acquired significant maturity in recent years
    as a promising approach to obtain energy and area-efficient hardware. Automated
    approximate accelerator synthesis involves a great deal of complexity on the size
    of design space which exponentially grows with the number of possible approximations.
    Design space exploration of approximate accelerator synthesis is usually targeted
    via heuristic-based search methods. The majority of existing frameworks prune
    a large part of the design space using a greedy-based approach to keep the problem
    tractable. Therefore, they result in inferior solutions since many potential solutions
    are neglected in the pruning process without the possibility of backtracking of
    removed approximate instances. In this paper, we address the aforementioned issue
    by adopting Monte Carlo Tree Search (MCTS), as an efficient stochastic learning-based
    search algorithm, in the context of automated synthesis of approximate accelerators.
    This enables the synthesis frameworks to deeply subsamples the design space of
    approximate accelerator synthesis toward most promising approximate instances
    based on the required performance goals, i.e., power consumption, area, or/and
    delay. We investigated the challenges of providing an efficient open-source framework
    that benefits analytical and search-based approximation techniques simultaneously
    to both speed up the synthesis runtime and improve the quality of obtained results.
    Besides, we studied the utilization of machine learning algorithms to improve
    the performance of several critical steps, i.e., accelerator quality testing,
    in the synthesis framework. The proposed framework can help the community to rapidly
    generate efficient approximate accelerators in a reasonable runtime.
author:
- first_name: Muhammad
  full_name: Awais, Muhammad
  id: '64665'
  last_name: Awais
  orcid: https://orcid.org/0000-0003-4148-2969
- first_name: Marco
  full_name: Platzner, Marco
  last_name: Platzner
citation:
  ama: 'Awais M, Platzner M. MCTS-Based Synthesis Towards Efficient Approximate Accelerators.
    In: <i>Proceedings of IEEE Computer Society Annual Symposium on VLSI</i>. IEEE;
    2021:384-389.'
  apa: Awais, M., &#38; Platzner, M. (2021). MCTS-Based Synthesis Towards Efficient
    Approximate Accelerators. <i>Proceedings of IEEE Computer Society Annual Symposium
    on VLSI</i>, 384–389.
  bibtex: '@inproceedings{Awais_Platzner_2021, title={MCTS-Based Synthesis Towards
    Efficient Approximate Accelerators}, booktitle={Proceedings of IEEE Computer Society
    Annual Symposium on VLSI}, publisher={IEEE}, author={Awais, Muhammad and Platzner,
    Marco}, year={2021}, pages={384–389} }'
  chicago: Awais, Muhammad, and Marco Platzner. “MCTS-Based Synthesis Towards Efficient
    Approximate Accelerators.” In <i>Proceedings of IEEE Computer Society Annual Symposium
    on VLSI</i>, 384–89. IEEE, 2021.
  ieee: M. Awais and M. Platzner, “MCTS-Based Synthesis Towards Efficient Approximate
    Accelerators,” in <i>Proceedings of IEEE Computer Society Annual Symposium on
    VLSI</i>, Tampa, Florida USA (Virtual), 2021, pp. 384–389.
  mla: Awais, Muhammad, and Marco Platzner. “MCTS-Based Synthesis Towards Efficient
    Approximate Accelerators.” <i>Proceedings of IEEE Computer Society Annual Symposium
    on VLSI</i>, IEEE, 2021, pp. 384–89.
  short: 'M. Awais, M. Platzner, in: Proceedings of IEEE Computer Society Annual Symposium
    on VLSI, IEEE, 2021, pp. 384–389.'
conference:
  end_date: 2021-07-09
  location: Tampa, Florida USA (Virtual)
  name: IEEE Computer Society Annual Symposium on VLSI
  start_date: 2021-07-07
date_created: 2021-06-14T14:05:17Z
date_updated: 2022-01-06T06:55:31Z
department:
- _id: '78'
keyword:
- Approximate computing
- Design space exploration
- Accelerator synthesis
language:
- iso: eng
page: 384-389
publication: Proceedings of IEEE Computer Society Annual Symposium on VLSI
publisher: IEEE
status: public
title: MCTS-Based Synthesis Towards Efficient Approximate Accelerators
type: conference
user_id: '64665'
year: '2021'
...
---
_id: '22448'
author:
- first_name: Johannes
  full_name: Kiesel, Johannes
  last_name: Kiesel
- first_name: Damiano
  full_name: Spina, Damiano
  last_name: Spina
- first_name: Henning
  full_name: Wachsmuth, Henning
  id: '3900'
  last_name: Wachsmuth
- first_name: Benno
  full_name: Stein, Benno
  last_name: Stein
citation:
  ama: 'Kiesel J, Spina D, Wachsmuth H, Stein B. The Meant, the Said, and the Understood:
    Conversational Argument Search and Cognitive Biases. In: <i>Proceedings of the
    2021 Conversational User Interfaces Conference</i>. ; 2021:1-5.'
  apa: 'Kiesel, J., Spina, D., Wachsmuth, H., &#38; Stein, B. (2021). The Meant, the
    Said, and the Understood: Conversational Argument Search and Cognitive Biases.
    <i>Proceedings of the 2021 Conversational User Interfaces Conference</i>, 1–5.'
  bibtex: '@inproceedings{Kiesel_Spina_Wachsmuth_Stein_2021, title={The Meant, the
    Said, and the Understood: Conversational Argument Search and Cognitive Biases},
    booktitle={Proceedings of the 2021 Conversational User Interfaces Conference},
    author={Kiesel, Johannes and Spina, Damiano and Wachsmuth, Henning and Stein,
    Benno}, year={2021}, pages={1–5} }'
  chicago: 'Kiesel, Johannes, Damiano Spina, Henning Wachsmuth, and Benno Stein. “The
    Meant, the Said, and the Understood: Conversational Argument Search and Cognitive
    Biases.” In <i>Proceedings of the 2021 Conversational User Interfaces Conference</i>,
    1–5, 2021.'
  ieee: 'J. Kiesel, D. Spina, H. Wachsmuth, and B. Stein, “The Meant, the Said, and
    the Understood: Conversational Argument Search and Cognitive Biases,” in <i>Proceedings
    of the 2021 Conversational User Interfaces Conference</i>, 2021, pp. 1–5.'
  mla: 'Kiesel, Johannes, et al. “The Meant, the Said, and the Understood: Conversational
    Argument Search and Cognitive Biases.” <i>Proceedings of the 2021 Conversational
    User Interfaces Conference</i>, 2021, pp. 1–5.'
  short: 'J. Kiesel, D. Spina, H. Wachsmuth, B. Stein, in: Proceedings of the 2021
    Conversational User Interfaces Conference, 2021, pp. 1–5.'
date_created: 2021-06-15T13:51:36Z
date_updated: 2022-01-06T06:55:33Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://dl.acm.org/doi/fullHtml/10.1145/3469595.3469615
page: 1-5
publication: Proceedings of the 2021 Conversational User Interfaces Conference
status: public
title: 'The Meant, the Said, and the Understood: Conversational Argument Search and
  Cognitive Biases'
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '22483'
abstract:
- lang: eng
  text: This bachelor thesis presents a C/C++ implementation of the XCS algorithm
    for an embedded system and profiling results concerning the execution time of
    the functions. These are then analyzed in relation to the input characteristics
    of the examined learning environments and compared with related work. Three main
    conclusions can be drawn from the measured results. First, the maximum size of
    the population of the classifiers influences the runtime of the genetic algorithm;
    second, the size of the input space has a direct effect on the execution time
    of the matching function; and last, a larger action space results in a longer
    runtime generating the prediction for the possible actions. The dependencies identified
    here can serve to optimize the computational efficiency and make XCS more suitable
    for embedded systems.
author:
- first_name: Mathis
  full_name: Brede, Mathis
  last_name: Brede
citation:
  ama: 'Brede M. <i>Implementation and Profiling of XCS in the Context of Embedded
    Systems</i>. Paderborn: Paderborn University; 2021.'
  apa: 'Brede, M. (2021). <i>Implementation and Profiling of XCS in the Context of
    Embedded Systems</i>. Paderborn: Paderborn University.'
  bibtex: '@book{Brede_2021, place={Paderborn}, title={Implementation and Profiling
    of XCS in the Context of Embedded Systems}, publisher={Paderborn University},
    author={Brede, Mathis}, year={2021} }'
  chicago: 'Brede, Mathis. <i>Implementation and Profiling of XCS in the Context of
    Embedded Systems</i>. Paderborn: Paderborn University, 2021.'
  ieee: 'M. Brede, <i>Implementation and Profiling of XCS in the Context of Embedded
    Systems</i>. Paderborn: Paderborn University, 2021.'
  mla: Brede, Mathis. <i>Implementation and Profiling of XCS in the Context of Embedded
    Systems</i>. Paderborn University, 2021.
  short: M. Brede, Implementation and Profiling of XCS in the Context of Embedded
    Systems, Paderborn University, Paderborn, 2021.
date_created: 2021-06-21T09:35:03Z
date_updated: 2022-01-06T06:55:33Z
department:
- _id: '78'
extern: '1'
language:
- iso: eng
place: Paderborn
project:
- _id: '14'
  name: SFB 901 - Subproject C2
- _id: '4'
  name: SFB 901 - Project Area C
- _id: '1'
  name: SFB 901
publisher: Paderborn University
status: public
supervisor:
- first_name: Marco
  full_name: Platzner, Marco
  id: '398'
  last_name: Platzner
- first_name: Tim
  full_name: Hansmeier, Tim
  id: '49992'
  last_name: Hansmeier
  orcid: 0000-0003-1377-3339
title: Implementation and Profiling of XCS in the Context of Embedded Systems
type: bachelorsthesis
user_id: '477'
year: '2021'
...
---
_id: '22510'
abstract:
- lang: eng
  text: 'Over the past decades, the Gathering problem, which asks to gather a group
    of robots in finite time given some restrictions, has been intensively studied.
    In this paper, we are given a group of n autonomous, dimensionless, deterministic,
    and anonymous robots, with bounded viewing range. Assuming a continuous time model,
    the goal is to gather these robots into one point in finite time. We introduce
    a simple convergence criterion that defines a new class of algorithms which perform
    gathering in O(nd) time, where d is the diameter of the initial robot configuration.
    We show that some gathering algorithms in the literature belong to this class
    and propose two new algorithms that belong to this class and have quadratic running
    time, namely, Go-To-The-Relative-Center algorithm (GTRC) and Safe-Go-To-The-Relative-Center
    algorithm (S-GTRC). We prove that the latter can perform gathering without collision
    by using a slightly more complex robot model: non oblivious, chiral, and luminous
    (i.e. robots have observable external memory, as in [8]). We also consider a variant
    of the Gathering problem, the Near-Gathering problem, in which robots must get
    close to each other without colliding. We show that S-GTRC solves the Near-Gathering
    problem in quadratic time and assumes a weaker robot model than the one assumed
    in the current state-of-the-art.'
author:
- first_name: Shouwei
  full_name: Li, Shouwei
  last_name: Li
- first_name: Christine
  full_name: Markarian, Christine
  last_name: Markarian
- first_name: Friedhelm
  full_name: Meyer auf der Heide, Friedhelm
  id: '15523'
  last_name: Meyer auf der Heide
- first_name: Pavel
  full_name: Podlipyan, Pavel
  last_name: Podlipyan
citation:
  ama: Li S, Markarian C, Meyer auf der Heide F, Podlipyan P. A continuous strategy
    for collisionless gathering. <i>Theoretical Computer Science</i>. 2021;852:41-60.
    doi:<a href="https://doi.org/10.1016/j.tcs.2020.10.037">10.1016/j.tcs.2020.10.037</a>
  apa: Li, S., Markarian, C., Meyer auf der Heide, F., &#38; Podlipyan, P. (2021).
    A continuous strategy for collisionless gathering. <i>Theoretical Computer Science</i>,
    <i>852</i>, 41–60. <a href="https://doi.org/10.1016/j.tcs.2020.10.037">https://doi.org/10.1016/j.tcs.2020.10.037</a>
  bibtex: '@article{Li_Markarian_Meyer auf der Heide_Podlipyan_2021, title={A continuous
    strategy for collisionless gathering}, volume={852}, DOI={<a href="https://doi.org/10.1016/j.tcs.2020.10.037">10.1016/j.tcs.2020.10.037</a>},
    journal={Theoretical Computer Science}, author={Li, Shouwei and Markarian, Christine
    and Meyer auf der Heide, Friedhelm and Podlipyan, Pavel}, year={2021}, pages={41–60}
    }'
  chicago: 'Li, Shouwei, Christine Markarian, Friedhelm Meyer auf der Heide, and Pavel
    Podlipyan. “A Continuous Strategy for Collisionless Gathering.” <i>Theoretical
    Computer Science</i> 852 (2021): 41–60. <a href="https://doi.org/10.1016/j.tcs.2020.10.037">https://doi.org/10.1016/j.tcs.2020.10.037</a>.'
  ieee: S. Li, C. Markarian, F. Meyer auf der Heide, and P. Podlipyan, “A continuous
    strategy for collisionless gathering,” <i>Theoretical Computer Science</i>, vol.
    852, pp. 41–60, 2021.
  mla: Li, Shouwei, et al. “A Continuous Strategy for Collisionless Gathering.” <i>Theoretical
    Computer Science</i>, vol. 852, 2021, pp. 41–60, doi:<a href="https://doi.org/10.1016/j.tcs.2020.10.037">10.1016/j.tcs.2020.10.037</a>.
  short: S. Li, C. Markarian, F. Meyer auf der Heide, P. Podlipyan, Theoretical Computer
    Science 852 (2021) 41–60.
date_created: 2021-06-28T09:24:15Z
date_updated: 2022-01-06T06:55:35Z
department:
- _id: '63'
doi: 10.1016/j.tcs.2020.10.037
intvolume: '       852'
keyword:
- Local algorithms
- Distributed algorithms
- Collisionless gathering
- Mobile robots
- Multiagent system
language:
- iso: eng
page: 41-60
publication: Theoretical Computer Science
publication_identifier:
  issn:
  - 0304-3975
publication_status: published
status: public
title: A continuous strategy for collisionless gathering
type: journal_article
user_id: '15415'
volume: 852
year: '2021'
...
---
_id: '22511'
abstract:
- lang: eng
  text: "In this paper, we reconsider the well-known discrete, round-based Go-To-The-Center
    algorithm due to Ando, Suzuki, and Yamashita [2] for gathering n autonomous mobile
    robots with limited viewing range in the plane. Remarquably, this algorithm exploits
    the fact that during its execution, many collisions of robots occur. Such collisions
    are interpreted as a success because it is assumed that such collided robots behave
    the same from now on. This is acceptable under the assumption that each robot
    is represented by a single point. Otherwise, collisions should be avoided. In
    this paper, we consider a continuous Go-To-The-Center algorithm in which the robots
    continuously observe the positions of their neighbors and adapt their speed (assuming
    a speed limit) and direction. Our first results are time bounds of O(n2) for gathering
    in two dimensions Euclidean space, and Θ(n) for the one dimension. Our main contribution
    is the introduction and evaluation of a continuous algorithm which performs Go-To-The-Center
    considering only the neighbors of a robot with respect to the Gabriel subgraph
    of the visibility graph, i.e. Go-To-The-Gabriel-Center algorithm. We show that
    this modification still correctly executes gathering in one and two dimensions,
    with the same time bounds as above. Simulations exhibit a severe difference of
    the behavior of the Go-To-The-Center and the Go-To-The-Gabriel-Center algorithms:
    Whereas lots of collisions occur during a run of the Go-To-The-Center algorithm,
    typically only one, namely the final collision occurs during a run of the Go-To-The-Gabriel-Center
    algorithm. We can prove this “collisionless property” of the Go-To-The-Gabriel-Center
    algorithm for one dimension. In two-dimensional Euclidean space, we conjecture
    that the “collisionless property” holds for almost every initial configuration.
    We support our conjecture with measurements obtained from the simulation where
    robots execute both continuous Go-To-The-Center and Go-To-The-Gabriel-Center algorithms.\r\n"
author:
- first_name: Shouwei
  full_name: Li, Shouwei
  last_name: Li
- first_name: Friedhelm
  full_name: Meyer auf der Heide, Friedhelm
  id: '15523'
  last_name: Meyer auf der Heide
- first_name: Pavel
  full_name: Podlipyan, Pavel
  last_name: Podlipyan
citation:
  ama: Li S, Meyer auf der Heide F, Podlipyan P. The impact of the Gabriel subgraph
    of the visibility graph on the gathering of mobile autonomous robots. <i>Theoretical
    Computer Science</i>. 2021;852:29-40. doi:<a href="https://doi.org/10.1016/j.tcs.2020.11.009">10.1016/j.tcs.2020.11.009</a>
  apa: Li, S., Meyer auf der Heide, F., &#38; Podlipyan, P. (2021). The impact of
    the Gabriel subgraph of the visibility graph on the gathering of mobile autonomous
    robots. <i>Theoretical Computer Science</i>, <i>852</i>, 29–40. <a href="https://doi.org/10.1016/j.tcs.2020.11.009">https://doi.org/10.1016/j.tcs.2020.11.009</a>
  bibtex: '@article{Li_Meyer auf der Heide_Podlipyan_2021, title={The impact of the
    Gabriel subgraph of the visibility graph on the gathering of mobile autonomous
    robots}, volume={852}, DOI={<a href="https://doi.org/10.1016/j.tcs.2020.11.009">10.1016/j.tcs.2020.11.009</a>},
    journal={Theoretical Computer Science}, author={Li, Shouwei and Meyer auf der
    Heide, Friedhelm and Podlipyan, Pavel}, year={2021}, pages={29–40} }'
  chicago: 'Li, Shouwei, Friedhelm Meyer auf der Heide, and Pavel Podlipyan. “The
    Impact of the Gabriel Subgraph of the Visibility Graph on the Gathering of Mobile
    Autonomous Robots.” <i>Theoretical Computer Science</i> 852 (2021): 29–40. <a
    href="https://doi.org/10.1016/j.tcs.2020.11.009">https://doi.org/10.1016/j.tcs.2020.11.009</a>.'
  ieee: S. Li, F. Meyer auf der Heide, and P. Podlipyan, “The impact of the Gabriel
    subgraph of the visibility graph on the gathering of mobile autonomous robots,”
    <i>Theoretical Computer Science</i>, vol. 852, pp. 29–40, 2021.
  mla: Li, Shouwei, et al. “The Impact of the Gabriel Subgraph of the Visibility Graph
    on the Gathering of Mobile Autonomous Robots.” <i>Theoretical Computer Science</i>,
    vol. 852, 2021, pp. 29–40, doi:<a href="https://doi.org/10.1016/j.tcs.2020.11.009">10.1016/j.tcs.2020.11.009</a>.
  short: S. Li, F. Meyer auf der Heide, P. Podlipyan, Theoretical Computer Science
    852 (2021) 29–40.
date_created: 2021-06-28T09:34:45Z
date_updated: 2022-01-06T06:55:35Z
department:
- _id: '63'
doi: 10.1016/j.tcs.2020.11.009
intvolume: '       852'
keyword:
- Local algorithms
- Distributed algorithms
- Collisionless gathering
- Mobile robots
- Multiagent system
language:
- iso: eng
page: 29-40
publication: Theoretical Computer Science
publication_identifier:
  issn:
  - 0304-3975
publication_status: published
status: public
title: The impact of the Gabriel subgraph of the visibility graph on the gathering
  of mobile autonomous robots
type: journal_article
user_id: '15415'
volume: 852
year: '2021'
...
---
_id: '22814'
article_number: 10:1
author:
- first_name: Nils
  full_name: Weidmann, Nils
  id: '53103'
  last_name: Weidmann
- first_name: Shubhangi
  full_name: Salunkhe, Shubhangi
  last_name: Salunkhe
- first_name: Anthony
  full_name: Anjorin, Anthony
  last_name: Anjorin
- first_name: Enes
  full_name: Yigitbas, Enes
  id: '8447'
  last_name: Yigitbas
  orcid: 0000-0002-5967-833X
- first_name: Gregor
  full_name: Engels, Gregor
  id: '107'
  last_name: Engels
citation:
  ama: Weidmann N, Salunkhe S, Anjorin A, Yigitbas E, Engels G. Automating Model Transformations
    for Railway Systems Engineering. <i>The Journal of Object Technology</i>. 2021.
    doi:<a href="https://doi.org/10.5381/jot.2021.20.3.a10">10.5381/jot.2021.20.3.a10</a>
  apa: Weidmann, N., Salunkhe, S., Anjorin, A., Yigitbas, E., &#38; Engels, G. (2021).
    Automating Model Transformations for Railway Systems Engineering. <i>The Journal
    of Object Technology</i>. <a href="https://doi.org/10.5381/jot.2021.20.3.a10">https://doi.org/10.5381/jot.2021.20.3.a10</a>
  bibtex: '@article{Weidmann_Salunkhe_Anjorin_Yigitbas_Engels_2021, title={Automating
    Model Transformations for Railway Systems Engineering.}, DOI={<a href="https://doi.org/10.5381/jot.2021.20.3.a10">10.5381/jot.2021.20.3.a10</a>},
    number={10:1}, journal={The Journal of Object Technology}, author={Weidmann, Nils
    and Salunkhe, Shubhangi and Anjorin, Anthony and Yigitbas, Enes and Engels, Gregor},
    year={2021} }'
  chicago: Weidmann, Nils, Shubhangi Salunkhe, Anthony Anjorin, Enes Yigitbas, and
    Gregor Engels. “Automating Model Transformations for Railway Systems Engineering.”
    <i>The Journal of Object Technology</i>, 2021. <a href="https://doi.org/10.5381/jot.2021.20.3.a10">https://doi.org/10.5381/jot.2021.20.3.a10</a>.
  ieee: N. Weidmann, S. Salunkhe, A. Anjorin, E. Yigitbas, and G. Engels, “Automating
    Model Transformations for Railway Systems Engineering.,” <i>The Journal of Object
    Technology</i>, 2021.
  mla: Weidmann, Nils, et al. “Automating Model Transformations for Railway Systems
    Engineering.” <i>The Journal of Object Technology</i>, 10:1, 2021, doi:<a href="https://doi.org/10.5381/jot.2021.20.3.a10">10.5381/jot.2021.20.3.a10</a>.
  short: N. Weidmann, S. Salunkhe, A. Anjorin, E. Yigitbas, G. Engels, The Journal
    of Object Technology (2021).
date_created: 2021-07-26T13:54:55Z
date_updated: 2022-01-06T06:55:42Z
department:
- _id: '66'
- _id: '534'
doi: 10.5381/jot.2021.20.3.a10
language:
- iso: eng
publication: The Journal of Object Technology
publication_identifier:
  issn:
  - 1660-1769
publication_status: published
status: public
title: Automating Model Transformations for Railway Systems Engineering.
type: journal_article
user_id: '8447'
year: '2021'
...
---
_id: '22819'
author:
- first_name: Enes
  full_name: Yigitbas, Enes
  id: '8447'
  last_name: Yigitbas
  orcid: 0000-0002-5967-833X
- first_name: Kadiray
  full_name: Karakaya, Kadiray
  id: '70410'
  last_name: Karakaya
  orcid: https://orcid.org/0000-0001-9266-2084
- first_name: Ivan
  full_name: Jovanovikj, Ivan
  last_name: Jovanovikj
- first_name: Gregor
  full_name: Engels, Gregor
  id: '107'
  last_name: Engels
citation:
  ama: 'Yigitbas E, Karakaya K, Jovanovikj I, Engels G. Enhancing Human-in-the-Loop
    Adaptive Systems through Digital Twins and VR Interfaces. In: <i>2021 International
    Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)</i>.
    ; 2021. doi:<a href="https://doi.org/10.1109/seams51251.2021.00015">10.1109/seams51251.2021.00015</a>'
  apa: Yigitbas, E., Karakaya, K., Jovanovikj, I., &#38; Engels, G. (2021). Enhancing
    Human-in-the-Loop Adaptive Systems through Digital Twins and VR Interfaces. In
    <i>2021 International Symposium on Software Engineering for Adaptive and Self-Managing
    Systems (SEAMS)</i>. <a href="https://doi.org/10.1109/seams51251.2021.00015">https://doi.org/10.1109/seams51251.2021.00015</a>
  bibtex: '@inproceedings{Yigitbas_Karakaya_Jovanovikj_Engels_2021, title={Enhancing
    Human-in-the-Loop Adaptive Systems through Digital Twins and VR Interfaces}, DOI={<a
    href="https://doi.org/10.1109/seams51251.2021.00015">10.1109/seams51251.2021.00015</a>},
    booktitle={2021 International Symposium on Software Engineering for Adaptive and
    Self-Managing Systems (SEAMS)}, author={Yigitbas, Enes and Karakaya, Kadiray and
    Jovanovikj, Ivan and Engels, Gregor}, year={2021} }'
  chicago: Yigitbas, Enes, Kadiray Karakaya, Ivan Jovanovikj, and Gregor Engels. “Enhancing
    Human-in-the-Loop Adaptive Systems through Digital Twins and VR Interfaces.” In
    <i>2021 International Symposium on Software Engineering for Adaptive and Self-Managing
    Systems (SEAMS)</i>, 2021. <a href="https://doi.org/10.1109/seams51251.2021.00015">https://doi.org/10.1109/seams51251.2021.00015</a>.
  ieee: E. Yigitbas, K. Karakaya, I. Jovanovikj, and G. Engels, “Enhancing Human-in-the-Loop
    Adaptive Systems through Digital Twins and VR Interfaces,” in <i>2021 International
    Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)</i>,
    2021.
  mla: Yigitbas, Enes, et al. “Enhancing Human-in-the-Loop Adaptive Systems through
    Digital Twins and VR Interfaces.” <i>2021 International Symposium on Software
    Engineering for Adaptive and Self-Managing Systems (SEAMS)</i>, 2021, doi:<a href="https://doi.org/10.1109/seams51251.2021.00015">10.1109/seams51251.2021.00015</a>.
  short: 'E. Yigitbas, K. Karakaya, I. Jovanovikj, G. Engels, in: 2021 International
    Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS),
    2021.'
date_created: 2021-07-27T08:34:48Z
date_updated: 2022-01-06T06:55:42Z
department:
- _id: '66'
- _id: '534'
doi: 10.1109/seams51251.2021.00015
language:
- iso: eng
publication: 2021 International Symposium on Software Engineering for Adaptive and
  Self-Managing Systems (SEAMS)
publication_status: published
status: public
title: Enhancing Human-in-the-Loop Adaptive Systems through Digital Twins and VR Interfaces
type: conference
user_id: '8447'
year: '2021'
...
---
_id: '22913'
author:
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
- first_name: Felix
  full_name: Mohr, Felix
  last_name: Mohr
- 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'
citation:
  ama: 'Hüllermeier E, Mohr F, Tornede A, Wever MD. Automated Machine Learning, Bounded
    Rationality, and Rational Metareasoning. In: ; 2021.'
  apa: Hüllermeier, E., Mohr, F., Tornede, A., &#38; Wever, M. D. (2021). <i>Automated
    Machine Learning, Bounded Rationality, and Rational Metareasoning</i>. ECML/PKDD
    Workshop on Automating Data Science, Bilbao (Virtual).
  bibtex: '@inproceedings{Hüllermeier_Mohr_Tornede_Wever_2021, title={Automated Machine
    Learning, Bounded Rationality, and Rational Metareasoning}, author={Hüllermeier,
    Eyke and Mohr, Felix and Tornede, Alexander and Wever, Marcel Dominik}, year={2021}
    }'
  chicago: Hüllermeier, Eyke, Felix Mohr, Alexander Tornede, and Marcel Dominik Wever.
    “Automated Machine Learning, Bounded Rationality, and Rational Metareasoning,”
    2021.
  ieee: E. Hüllermeier, F. Mohr, A. Tornede, and M. D. Wever, “Automated Machine Learning,
    Bounded Rationality, and Rational Metareasoning,” presented at the ECML/PKDD Workshop
    on Automating Data Science, Bilbao (Virtual), 2021.
  mla: Hüllermeier, Eyke, et al. <i>Automated Machine Learning, Bounded Rationality,
    and Rational Metareasoning</i>. 2021.
  short: 'E. Hüllermeier, F. Mohr, A. Tornede, M.D. Wever, in: 2021.'
conference:
  end_date: 2021-09-17
  location: Bilbao (Virtual)
  name: ECML/PKDD Workshop on Automating Data Science
  start_date: 2021-09-13
date_created: 2021-08-02T07:46:29Z
date_updated: 2022-01-06T06:55:43Z
department:
- _id: '34'
- _id: '355'
- _id: '26'
language:
- iso: eng
project:
- _id: '1'
  name: SFB 901
- _id: '3'
  name: SFB 901 - Project Area B
- _id: '10'
  name: SFB 901 - Subproject B2
quality_controlled: '1'
status: public
title: Automated Machine Learning, Bounded Rationality, and Rational Metareasoning
type: conference
user_id: '5786'
year: '2021'
...
---
_id: '22914'
author:
- first_name: Felix
  full_name: Mohr, Felix
  last_name: Mohr
- first_name: Marcel Dominik
  full_name: Wever, Marcel Dominik
  id: '33176'
  last_name: Wever
  orcid: ' https://orcid.org/0000-0001-9782-6818'
citation:
  ama: 'Mohr F, Wever MD. Replacing the Ex-Def Baseline in AutoML by Naive AutoML.
    In: ; 2021.'
  apa: Mohr, F., &#38; Wever, M. D. (2021). <i>Replacing the Ex-Def Baseline in AutoML
    by Naive AutoML</i>. 8th ICML Workshop on Automated Machine Learning, Virtual.
  bibtex: '@inproceedings{Mohr_Wever_2021, title={Replacing the Ex-Def Baseline in
    AutoML by Naive AutoML}, author={Mohr, Felix and Wever, Marcel Dominik}, year={2021}
    }'
  chicago: Mohr, Felix, and Marcel Dominik Wever. “Replacing the Ex-Def Baseline in
    AutoML by Naive AutoML,” 2021.
  ieee: F. Mohr and M. D. Wever, “Replacing the Ex-Def Baseline in AutoML by Naive
    AutoML,” presented at the 8th ICML Workshop on Automated Machine Learning, Virtual,
    2021.
  mla: Mohr, Felix, and Marcel Dominik Wever. <i>Replacing the Ex-Def Baseline in
    AutoML by Naive AutoML</i>. 2021.
  short: 'F. Mohr, M.D. Wever, in: 2021.'
conference:
  end_date: 2021-07-23
  location: Virtual
  name: 8th ICML Workshop on Automated Machine Learning
  start_date: 2021-07-23
date_created: 2021-08-02T07:48:07Z
date_updated: 2022-01-06T06:55:43Z
department:
- _id: '34'
- _id: '355'
- _id: '26'
language:
- iso: eng
status: public
title: Replacing the Ex-Def Baseline in AutoML by Naive AutoML
type: conference
user_id: '5786'
year: '2021'
...
---
_id: '22927'
author:
- first_name: John
  full_name: Derrick, John
  last_name: Derrick
- first_name: Simon
  full_name: Doherty, Simon
  last_name: Doherty
- first_name: Brijesh
  full_name: Dongol, Brijesh
  last_name: Dongol
- first_name: Gerhard
  full_name: Schellhorn, Gerhard
  last_name: Schellhorn
- first_name: Heike
  full_name: Wehrheim, Heike
  id: '573'
  last_name: Wehrheim
citation:
  ama: 'Derrick J, Doherty S, Dongol B, Schellhorn G, Wehrheim H. On Strong Observational
    Refinement and Forward Simulation. In: <i>Proceedings of the 35th International
    Symposium on Distributed Computing (DISC)</i>. Leibniz International Proceedings
    in Informatics. Schloß Dagstuhl.'
  apa: Derrick, J., Doherty, S., Dongol, B., Schellhorn, G., &#38; Wehrheim, H. (n.d.).
    On Strong Observational Refinement and Forward Simulation. In <i>Proceedings of
    the 35th International Symposium on Distributed Computing (DISC)</i>. Schloß Dagstuhl.
  bibtex: '@inproceedings{Derrick_Doherty_Dongol_Schellhorn_Wehrheim, series={Leibniz
    International Proceedings in Informatics}, title={On Strong Observational Refinement
    and Forward Simulation}, booktitle={Proceedings of the 35th International Symposium
    on Distributed Computing (DISC)}, publisher={Schloß Dagstuhl}, author={Derrick,
    John and Doherty, Simon and Dongol, Brijesh and Schellhorn, Gerhard and Wehrheim,
    Heike}, collection={Leibniz International Proceedings in Informatics} }'
  chicago: Derrick, John, Simon Doherty, Brijesh Dongol, Gerhard Schellhorn, and Heike
    Wehrheim. “On Strong Observational Refinement and Forward Simulation.” In <i>Proceedings
    of the 35th International Symposium on Distributed Computing (DISC)</i>. Leibniz
    International Proceedings in Informatics. Schloß Dagstuhl, n.d.
  ieee: J. Derrick, S. Doherty, B. Dongol, G. Schellhorn, and H. Wehrheim, “On Strong
    Observational Refinement and Forward Simulation,” in <i>Proceedings of the 35th
    International Symposium on Distributed Computing (DISC)</i>.
  mla: Derrick, John, et al. “On Strong Observational Refinement and Forward Simulation.”
    <i>Proceedings of the 35th International Symposium on Distributed Computing (DISC)</i>,
    Schloß Dagstuhl.
  short: 'J. Derrick, S. Doherty, B. Dongol, G. Schellhorn, H. Wehrheim, in: Proceedings
    of the 35th International Symposium on Distributed Computing (DISC), Schloß Dagstuhl,
    n.d.'
date_created: 2021-08-03T07:38:56Z
date_updated: 2022-01-06T06:55:43Z
department:
- _id: '7'
language:
- iso: eng
project:
- _id: '1'
  name: SFB 901
- _id: '3'
  name: SFB 901 - Project Area B
- _id: '12'
  name: SFB 901 - Subproject B4
publication: Proceedings of the 35th International Symposium on Distributed Computing
  (DISC)
publication_status: accepted
publisher: Schloß Dagstuhl
series_title: Leibniz International Proceedings in Informatics
status: public
title: On Strong Observational Refinement and Forward Simulation
type: conference
user_id: '477'
year: '2021'
...
---
_id: '22959'
author:
- first_name: Nils
  full_name: Weidmann, Nils
  id: '53103'
  last_name: Weidmann
- first_name: Gregor
  full_name: Engels, Gregor
  id: '107'
  last_name: Engels
citation:
  ama: 'Weidmann N, Engels G. Concurrent model synchronisation with multiple objectives.
    In: <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>.
    ; 2021. doi:<a href="https://doi.org/10.1145/3449639.3459283">10.1145/3449639.3459283</a>'
  apa: Weidmann, N., &#38; Engels, G. (2021). Concurrent model synchronisation with
    multiple objectives. In <i>Proceedings of the Genetic and Evolutionary Computation
    Conference</i>. Lille, France. <a href="https://doi.org/10.1145/3449639.3459283">https://doi.org/10.1145/3449639.3459283</a>
  bibtex: '@inproceedings{Weidmann_Engels_2021, title={Concurrent model synchronisation
    with multiple objectives}, DOI={<a href="https://doi.org/10.1145/3449639.3459283">10.1145/3449639.3459283</a>},
    booktitle={Proceedings of the Genetic and Evolutionary Computation Conference},
    author={Weidmann, Nils and Engels, Gregor}, year={2021} }'
  chicago: Weidmann, Nils, and Gregor Engels. “Concurrent Model Synchronisation with
    Multiple Objectives.” In <i>Proceedings of the Genetic and Evolutionary Computation
    Conference</i>, 2021. <a href="https://doi.org/10.1145/3449639.3459283">https://doi.org/10.1145/3449639.3459283</a>.
  ieee: N. Weidmann and G. Engels, “Concurrent model synchronisation with multiple
    objectives,” in <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>,
    Lille, France, 2021.
  mla: Weidmann, Nils, and Gregor Engels. “Concurrent Model Synchronisation with Multiple
    Objectives.” <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>,
    2021, doi:<a href="https://doi.org/10.1145/3449639.3459283">10.1145/3449639.3459283</a>.
  short: 'N. Weidmann, G. Engels, in: Proceedings of the Genetic and Evolutionary
    Computation Conference, 2021.'
conference:
  end_date: 2021-07-14
  location: Lille, France
  name: 'GECCO ''21: Genetic and Evolutionary Computation Conference'
  start_date: 2021-07-10
date_created: 2021-08-07T15:18:48Z
date_updated: 2022-01-06T06:55:44Z
department:
- _id: '28'
- _id: '66'
doi: 10.1145/3449639.3459283
language:
- iso: eng
publication: Proceedings of the Genetic and Evolutionary Computation Conference
publication_status: published
status: public
title: Concurrent model synchronisation with multiple objectives
type: conference
user_id: '53103'
year: '2021'
...
---
_id: '23374'
author:
- first_name: Sriteja
  full_name: Kummita, Sriteja
  last_name: Kummita
- first_name: Goran
  full_name: Piskachev, Goran
  last_name: Piskachev
- first_name: Johannes
  full_name: Spath, Johannes
  last_name: Spath
- first_name: Eric
  full_name: Bodden, Eric
  last_name: Bodden
citation:
  ama: 'Kummita S, Piskachev G, Spath J, Bodden E. Qualitative and Quantitative Analysis
    of Callgraph Algorithms for Python. In: <i>2021 International Conference on Code
    Quality (ICCQ)</i>. ; 2021. doi:<a href="https://doi.org/10.1109/iccq51190.2021.9392986">10.1109/iccq51190.2021.9392986</a>'
  apa: Kummita, S., Piskachev, G., Spath, J., &#38; Bodden, E. (2021). Qualitative
    and Quantitative Analysis of Callgraph Algorithms for Python. <i>2021 International
    Conference on Code Quality (ICCQ)</i>. <a href="https://doi.org/10.1109/iccq51190.2021.9392986">https://doi.org/10.1109/iccq51190.2021.9392986</a>
  bibtex: '@inproceedings{Kummita_Piskachev_Spath_Bodden_2021, title={Qualitative
    and Quantitative Analysis of Callgraph Algorithms for Python}, DOI={<a href="https://doi.org/10.1109/iccq51190.2021.9392986">10.1109/iccq51190.2021.9392986</a>},
    booktitle={2021 International Conference on Code Quality (ICCQ)}, author={Kummita,
    Sriteja and Piskachev, Goran and Spath, Johannes and Bodden, Eric}, year={2021}
    }'
  chicago: Kummita, Sriteja, Goran Piskachev, Johannes Spath, and Eric Bodden. “Qualitative
    and Quantitative Analysis of Callgraph Algorithms for Python.” In <i>2021 International
    Conference on Code Quality (ICCQ)</i>, 2021. <a href="https://doi.org/10.1109/iccq51190.2021.9392986">https://doi.org/10.1109/iccq51190.2021.9392986</a>.
  ieee: 'S. Kummita, G. Piskachev, J. Spath, and E. Bodden, “Qualitative and Quantitative
    Analysis of Callgraph Algorithms for Python,” 2021, doi: <a href="https://doi.org/10.1109/iccq51190.2021.9392986">10.1109/iccq51190.2021.9392986</a>.'
  mla: Kummita, Sriteja, et al. “Qualitative and Quantitative Analysis of Callgraph
    Algorithms for Python.” <i>2021 International Conference on Code Quality (ICCQ)</i>,
    2021, doi:<a href="https://doi.org/10.1109/iccq51190.2021.9392986">10.1109/iccq51190.2021.9392986</a>.
  short: 'S. Kummita, G. Piskachev, J. Spath, E. Bodden, in: 2021 International Conference
    on Code Quality (ICCQ), 2021.'
date_created: 2021-08-09T12:01:11Z
date_updated: 2022-01-06T06:55:50Z
department:
- _id: '241'
- _id: '662'
- _id: '76'
doi: 10.1109/iccq51190.2021.9392986
language:
- iso: eng
publication: 2021 International Conference on Code Quality (ICCQ)
publication_status: published
status: public
title: Qualitative and Quantitative Analysis of Callgraph Algorithms for Python
type: conference
user_id: '5786'
year: '2021'
...
---
_id: '21727'
abstract:
- lang: eng
  text: 'Platform-based business models underlie the success of many of today’s largest,
    fastest-growing, and most disruptive companies. Despite the success of prominent
    examples, such as Uber and Airbnb, creating a profitable platform ecosystem presents
    a key challenge for many companies across all industries. Although research provides
    knowledge about platforms’ different value drivers (e.g., network effects), companies
    that seek to transform their current business model into a platform-based one
    lack an artifact to reduce knowledge boundaries, collaborate effectively, and
    cope with the complexities and dynamics of platform ecosystems. We address this
    challenge by developing two artifacts and combining research from variability
    modeling, business model dependencies, and system dynamics. This paper presents
    a design science research approach to develop the platform ecosystem modeling
    language and the platform ecosystem development tool that support researcher and
    practitioner by visualizing and simulating platform ecosystems. '
author:
- first_name: Christian
  full_name: Vorbohle, Christian
  id: '29951'
  last_name: Vorbohle
- first_name: Sebastian
  full_name: Gottschalk, Sebastian
  id: '47208'
  last_name: Gottschalk
citation:
  ama: 'Vorbohle C, Gottschalk S. Towards Visualizing and Simulating Business Models
    in Dynamic Platform Ecosystems . In: <i>Proceedings of the 29th European Conference
    on Information Systems (ECIS)</i>. AIS.'
  apa: 'Vorbohle, C., &#38; Gottschalk, S. (n.d.). Towards Visualizing and Simulating
    Business Models in Dynamic Platform Ecosystems . In <i>Proceedings of the 29th
    European Conference on Information Systems (ECIS)</i>. Virtual Conference/Workshop:
    AIS.'
  bibtex: '@inproceedings{Vorbohle_Gottschalk, title={Towards Visualizing and Simulating
    Business Models in Dynamic Platform Ecosystems }, booktitle={Proceedings of the
    29th European Conference on Information Systems (ECIS)}, publisher={AIS}, author={Vorbohle,
    Christian and Gottschalk, Sebastian} }'
  chicago: Vorbohle, Christian, and Sebastian Gottschalk. “Towards Visualizing and
    Simulating Business Models in Dynamic Platform Ecosystems .” In <i>Proceedings
    of the 29th European Conference on Information Systems (ECIS)</i>. AIS, n.d.
  ieee: C. Vorbohle and S. Gottschalk, “Towards Visualizing and Simulating Business
    Models in Dynamic Platform Ecosystems ,” in <i>Proceedings of the 29th European
    Conference on Information Systems (ECIS)</i>, Virtual Conference/Workshop.
  mla: Vorbohle, Christian, and Sebastian Gottschalk. “Towards Visualizing and Simulating
    Business Models in Dynamic Platform Ecosystems .” <i>Proceedings of the 29th European
    Conference on Information Systems (ECIS)</i>, AIS.
  short: 'C. Vorbohle, S. Gottschalk, in: Proceedings of the 29th European Conference
    on Information Systems (ECIS), AIS, n.d.'
conference:
  location: Virtual Conference/Workshop
  name: 29th European Conference on Information Systems (ECIS)
date_created: 2021-04-23T13:38:54Z
date_updated: 2022-01-06T06:55:12Z
department:
- _id: '66'
- _id: '534'
- _id: '276'
keyword:
- Platform Ecosystems
- Platform Ecosystem Modeling Language
- Platform Ecosystem Development Tool
- Business Models
- Design Science
language:
- iso: eng
project:
- _id: '1'
  name: SFB 901
- _id: '4'
  name: SFB 901 - Project Area C
- _id: '17'
  name: SFB 901 - Subproject C5
publication: Proceedings of the 29th European Conference on Information Systems (ECIS)
publication_status: accepted
publisher: AIS
status: public
title: 'Towards Visualizing and Simulating Business Models in Dynamic Platform Ecosystems '
type: conference
user_id: '47208'
year: '2021'
...
---
_id: '21808'
abstract:
- lang: eng
  text: "Modern services consist of interconnected components,e.g., microservices
    in a service mesh or machine learning functions in a pipeline. These services
    can scale and run across multiple network nodes on demand. To process incoming
    traffic, service components have to be instantiated and traffic assigned to these
    instances, taking capacities, changing demands, and Quality of Service (QoS) requirements
    into account. This challenge is usually solved with custom approaches designed
    by experts. While this typically works well for the considered scenario, the models
    often rely on unrealistic assumptions or on knowledge that is not available in
    practice (e.g., a priori knowledge).\r\n\r\nWe propose DeepCoord, a novel deep
    reinforcement learning approach that learns how to best coordinate services and
    is geared towards realistic assumptions. It interacts with the network and relies
    on available, possibly delayed monitoring information. Rather than defining a
    complex model or an algorithm on how to achieve an objective, our model-free approach
    adapts to various objectives and traffic patterns. An agent is trained offline
    without expert knowledge and then applied online with minimal overhead. Compared
    to a state-of-the-art heuristic, DeepCoord significantly improves flow throughput
    (up to 76%) and overall network utility (more than 2x) on realworld network topologies
    and traffic traces. It also supports optimizing multiple, possibly competing objectives,
    learns to respect QoS requirements, generalizes to scenarios with unseen, stochastic
    traffic, and scales to large real-world networks. For reproducibility and reuse,
    our code is publicly available."
article_type: original
author:
- first_name: Stefan Balthasar
  full_name: Schneider, Stefan Balthasar
  id: '35343'
  last_name: Schneider
  orcid: 0000-0001-8210-4011
- first_name: Ramin
  full_name: Khalili, Ramin
  last_name: Khalili
- first_name: Adnan
  full_name: Manzoor, Adnan
  last_name: Manzoor
- first_name: Haydar
  full_name: Qarawlus, Haydar
  last_name: Qarawlus
- first_name: Rafael
  full_name: Schellenberg, Rafael
  last_name: Schellenberg
- first_name: Holger
  full_name: Karl, Holger
  id: '126'
  last_name: Karl
- first_name: Artur
  full_name: Hecker, Artur
  last_name: Hecker
citation:
  ama: Schneider SB, Khalili R, Manzoor A, et al. Self-Learning Multi-Objective Service
    Coordination Using Deep Reinforcement Learning. <i>Transactions on Network and
    Service Management</i>. 2021. doi:<a href="https://doi.org/10.1109/TNSM.2021.3076503">10.1109/TNSM.2021.3076503</a>
  apa: Schneider, S. B., Khalili, R., Manzoor, A., Qarawlus, H., Schellenberg, R.,
    Karl, H., &#38; Hecker, A. (2021). Self-Learning Multi-Objective Service Coordination
    Using Deep Reinforcement Learning. <i>Transactions on Network and Service Management</i>.
    <a href="https://doi.org/10.1109/TNSM.2021.3076503">https://doi.org/10.1109/TNSM.2021.3076503</a>
  bibtex: '@article{Schneider_Khalili_Manzoor_Qarawlus_Schellenberg_Karl_Hecker_2021,
    title={Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement
    Learning}, DOI={<a href="https://doi.org/10.1109/TNSM.2021.3076503">10.1109/TNSM.2021.3076503</a>},
    journal={Transactions on Network and Service Management}, publisher={IEEE}, author={Schneider,
    Stefan Balthasar and Khalili, Ramin and Manzoor, Adnan and Qarawlus, Haydar and
    Schellenberg, Rafael and Karl, Holger and Hecker, Artur}, year={2021} }'
  chicago: Schneider, Stefan Balthasar, Ramin Khalili, Adnan Manzoor, Haydar Qarawlus,
    Rafael Schellenberg, Holger Karl, and Artur Hecker. “Self-Learning Multi-Objective
    Service Coordination Using Deep Reinforcement Learning.” <i>Transactions on Network
    and Service Management</i>, 2021. <a href="https://doi.org/10.1109/TNSM.2021.3076503">https://doi.org/10.1109/TNSM.2021.3076503</a>.
  ieee: S. B. Schneider <i>et al.</i>, “Self-Learning Multi-Objective Service Coordination
    Using Deep Reinforcement Learning,” <i>Transactions on Network and Service Management</i>,
    2021.
  mla: Schneider, Stefan Balthasar, et al. “Self-Learning Multi-Objective Service
    Coordination Using Deep Reinforcement Learning.” <i>Transactions on Network and
    Service Management</i>, IEEE, 2021, doi:<a href="https://doi.org/10.1109/TNSM.2021.3076503">10.1109/TNSM.2021.3076503</a>.
  short: S.B. Schneider, R. Khalili, A. Manzoor, H. Qarawlus, R. Schellenberg, H.
    Karl, A. Hecker, Transactions on Network and Service Management (2021).
date_created: 2021-04-27T08:04:16Z
date_updated: 2022-01-06T06:55:15Z
ddc:
- '000'
department:
- _id: '75'
doi: 10.1109/TNSM.2021.3076503
file:
- access_level: open_access
  content_type: application/pdf
  creator: stschn
  date_created: 2021-04-27T08:01:26Z
  date_updated: 2021-04-27T08:01:26Z
  description: Author version of the accepted paper
  file_id: '21809'
  file_name: ris-accepted-version.pdf
  file_size: 4172270
  relation: main_file
file_date_updated: 2021-04-27T08:01:26Z
has_accepted_license: '1'
keyword:
- network management
- service management
- coordination
- reinforcement learning
- self-learning
- self-adaptation
- multi-objective
language:
- iso: eng
oa: '1'
project:
- _id: '1'
  name: SFB 901
- _id: '4'
  name: SFB 901 - Project Area C
- _id: '16'
  name: SFB 901 - Subproject C4
publication: Transactions on Network and Service Management
publisher: IEEE
status: public
title: Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement
  Learning
type: journal_article
user_id: '35343'
year: '2021'
...
---
_id: '22057'
abstract:
- lang: eng
  text: "We construct more efficient cryptosystems with provable\r\nsecurity against
    adaptive attacks, based on simple and natural hardness\r\nassumptions in the standard
    model. Concretely, we describe:\r\n– An adaptively-secure variant of the efficient,
    selectively-secure LWE-\r\nbased identity-based encryption (IBE) scheme of Agrawal,
    Boneh,\r\nand Boyen (EUROCRYPT 2010). In comparison to the previously\r\nmost
    efficient such scheme by Yamada (CRYPTO 2017) we achieve\r\nsmaller lattice parameters
    and shorter public keys of size O(log λ),\r\nwhere λ is the security parameter.\r\n–
    Adaptively-secure variants of two efficient selectively-secure pairing-\r\nbased
    IBEs of Boneh and Boyen (EUROCRYPT 2004). One is based\r\non the DBDH assumption,
    has the same ciphertext size as the cor-\r\nresponding BB04 scheme, and achieves
    full adaptive security with\r\npublic parameters of size only O(log λ). The other
    is based on a q-\r\ntype assumption and has public key size O(λ), but a ciphertext
    is\r\nonly a single group element and the security reduction is quadrat-\r\nically
    tighter than the corresponding scheme by Jager and Kurek\r\n(ASIACRYPT 2018).\r\n–
    A very efficient adaptively-secure verifiable random function where\r\nproofs,
    public keys, and secret keys have size O(log λ).\r\nAs a technical contribution
    we introduce blockwise partitioning, which\r\nleverages the assumption that a
    cryptographic hash function is weak\r\nnear-collision resistant to prove full
    adaptive security of cryptosystems."
author:
- first_name: Tibor
  full_name: Jager, Tibor
  last_name: Jager
- first_name: Rafael
  full_name: Kurek, Rafael
  last_name: Kurek
- first_name: David
  full_name: Niehues, David
  id: '36113'
  last_name: Niehues
citation:
  ama: 'Jager T, Kurek R, Niehues D. Efficient Adaptively-Secure IB-KEMs and VRFs
    via Near-Collision Resistance. In: <i>Public-Key Cryptography – PKC 2021</i>.
    Cham; 2021. doi:<a href="https://doi.org/10.1007/978-3-030-75245-3_22">10.1007/978-3-030-75245-3_22</a>'
  apa: Jager, T., Kurek, R., &#38; Niehues, D. (2021). Efficient Adaptively-Secure
    IB-KEMs and VRFs via Near-Collision Resistance. In <i>Public-Key Cryptography
    – PKC 2021</i>. Cham. <a href="https://doi.org/10.1007/978-3-030-75245-3_22">https://doi.org/10.1007/978-3-030-75245-3_22</a>
  bibtex: '@inbook{Jager_Kurek_Niehues_2021, place={Cham}, title={Efficient Adaptively-Secure
    IB-KEMs and VRFs via Near-Collision Resistance}, DOI={<a href="https://doi.org/10.1007/978-3-030-75245-3_22">10.1007/978-3-030-75245-3_22</a>},
    booktitle={Public-Key Cryptography – PKC 2021}, author={Jager, Tibor and Kurek,
    Rafael and Niehues, David}, year={2021} }'
  chicago: Jager, Tibor, Rafael Kurek, and David Niehues. “Efficient Adaptively-Secure
    IB-KEMs and VRFs via Near-Collision Resistance.” In <i>Public-Key Cryptography
    – PKC 2021</i>. Cham, 2021. <a href="https://doi.org/10.1007/978-3-030-75245-3_22">https://doi.org/10.1007/978-3-030-75245-3_22</a>.
  ieee: T. Jager, R. Kurek, and D. Niehues, “Efficient Adaptively-Secure IB-KEMs and
    VRFs via Near-Collision Resistance,” in <i>Public-Key Cryptography – PKC 2021</i>,
    Cham, 2021.
  mla: Jager, Tibor, et al. “Efficient Adaptively-Secure IB-KEMs and VRFs via Near-Collision
    Resistance.” <i>Public-Key Cryptography – PKC 2021</i>, 2021, doi:<a href="https://doi.org/10.1007/978-3-030-75245-3_22">10.1007/978-3-030-75245-3_22</a>.
  short: 'T. Jager, R. Kurek, D. Niehues, in: Public-Key Cryptography – PKC 2021,
    Cham, 2021.'
date_created: 2021-05-10T15:56:24Z
date_updated: 2022-01-06T06:55:23Z
ddc:
- '000'
department:
- _id: '558'
doi: 10.1007/978-3-030-75245-3_22
file:
- access_level: closed
  content_type: application/pdf
  creator: davnie
  date_created: 2021-05-10T16:02:02Z
  date_updated: 2021-05-10T16:02:02Z
  file_id: '22058'
  file_name: Jager et al. - 2021 - Efficient Adaptively-Secure IB-KEMs and VRFs via
    N.pdf
  file_size: 701068
  relation: main_file
file_date_updated: 2021-05-10T16:02:02Z
has_accepted_license: '1'
language:
- iso: eng
place: Cham
project:
- _id: '1'
  name: SFB 901
- _id: '4'
  name: SFB 901 - Project Area C
- _id: '13'
  name: SFB 901 - Subproject C1
publication: Public-Key Cryptography – PKC 2021
publication_identifier:
  isbn:
  - '9783030752446'
  - '9783030752453'
  issn:
  - 0302-9743
  - 1611-3349
publication_status: published
status: public
title: Efficient Adaptively-Secure IB-KEMs and VRFs via Near-Collision Resistance
type: book_chapter
user_id: '36113'
year: '2021'
...
---
_id: '22059'
abstract:
- lang: eng
  text: "Verifiable random functions (VRFs), introduced by Micali,\r\nRabin and Vadhan
    (FOCS’99), are the public-key equivalent of pseudo-\r\nrandom functions. A public
    verification key and proofs accompanying the\r\noutput enable all parties to verify
    the correctness of the output. How-\r\never, all known standard model VRFs have
    a reduction loss that is much\r\nworse than what one would expect from known optimal
    constructions of\r\nclosely related primitives like unique signatures. We show
    that:\r\n1. Every security proof for a VRF that relies on a non-interactive\r\nassumption
    has to lose a factor of Q, where Q is the number of adver-\r\nsarial queries.
    To that end, we extend the meta-reduction technique\r\nof Bader et al. (EUROCRYPT’16)
    to also cover VRFs.\r\n2. This raises the question: Is this bound optimal? We
    answer this ques-\r\ntion in the affirmative by presenting the first VRF with
    a reduction\r\nfrom the non-interactive qDBDHI assumption to the security of VRF\r\nthat
    achieves this optimal loss.\r\nWe thus paint a complete picture of the achievability
    of tight verifiable\r\nrandom functions: We show that a security loss of Q is
    unavoidable and\r\npresent the first construction that achieves this bound."
author:
- first_name: David
  full_name: Niehues, David
  id: '36113'
  last_name: Niehues
citation:
  ama: 'Niehues D. Verifiable Random Functions with Optimal Tightness. In: <i>Public-Key
    Cryptography – PKC 2021</i>. Cham; 2021. doi:<a href="https://doi.org/10.1007/978-3-030-75248-4_3">10.1007/978-3-030-75248-4_3</a>'
  apa: Niehues, D. (2021). Verifiable Random Functions with Optimal Tightness. In
    <i>Public-Key Cryptography – PKC 2021</i>. Cham. <a href="https://doi.org/10.1007/978-3-030-75248-4_3">https://doi.org/10.1007/978-3-030-75248-4_3</a>
  bibtex: '@inbook{Niehues_2021, place={Cham}, title={Verifiable Random Functions
    with Optimal Tightness}, DOI={<a href="https://doi.org/10.1007/978-3-030-75248-4_3">10.1007/978-3-030-75248-4_3</a>},
    booktitle={Public-Key Cryptography – PKC 2021}, author={Niehues, David}, year={2021}
    }'
  chicago: Niehues, David. “Verifiable Random Functions with Optimal Tightness.” In
    <i>Public-Key Cryptography – PKC 2021</i>. Cham, 2021. <a href="https://doi.org/10.1007/978-3-030-75248-4_3">https://doi.org/10.1007/978-3-030-75248-4_3</a>.
  ieee: D. Niehues, “Verifiable Random Functions with Optimal Tightness,” in <i>Public-Key
    Cryptography – PKC 2021</i>, Cham, 2021.
  mla: Niehues, David. “Verifiable Random Functions with Optimal Tightness.” <i>Public-Key
    Cryptography – PKC 2021</i>, 2021, doi:<a href="https://doi.org/10.1007/978-3-030-75248-4_3">10.1007/978-3-030-75248-4_3</a>.
  short: 'D. Niehues, in: Public-Key Cryptography – PKC 2021, Cham, 2021.'
date_created: 2021-05-10T16:07:50Z
date_updated: 2022-01-06T06:55:24Z
ddc:
- '000'
department:
- _id: '558'
doi: 10.1007/978-3-030-75248-4_3
file:
- access_level: closed
  content_type: application/pdf
  creator: davnie
  date_created: 2021-05-10T16:09:17Z
  date_updated: 2021-05-10T16:09:17Z
  file_id: '22060'
  file_name: Niehues - 2021 - Verifiable Random Functions with Optimal Tightness.pdf
  file_size: 697361
  relation: main_file
file_date_updated: 2021-05-10T16:09:17Z
has_accepted_license: '1'
language:
- iso: eng
place: Cham
project:
- _id: '1'
  name: SFB 901
- _id: '4'
  name: SFB 901 - Project Area C
- _id: '13'
  name: SFB 901 - Subproject C1
publication: Public-Key Cryptography – PKC 2021
publication_identifier:
  isbn:
  - '9783030752477'
  - '9783030752484'
  issn:
  - 0302-9743
  - 1611-3349
publication_status: published
status: public
title: Verifiable Random Functions with Optimal Tightness
type: book_chapter
user_id: '36113'
year: '2021'
...
---
_id: '21953'
author:
- first_name: Linus Matthias
  full_name: Witschen, Linus Matthias
  id: '49051'
  last_name: Witschen
- first_name: Tobias
  full_name: Wiersema, Tobias
  id: '3118'
  last_name: Wiersema
- first_name: Masood
  full_name: Raeisi Nafchi, Masood
  last_name: Raeisi Nafchi
- first_name: Arne
  full_name: Bockhorn, Arne
  last_name: Bockhorn
- first_name: Marco
  full_name: Platzner, Marco
  id: '398'
  last_name: Platzner
citation:
  ama: 'Witschen LM, Wiersema T, Raeisi Nafchi M, Bockhorn A, Platzner M. Timing Optimization
    for Virtual FPGA Configurations. In: Hannig F, Derrien S, Diniz P, Chillet D,
    eds. <i>Proceedings of International Symposium on Applied Reconfigurable Computing
    (ARC’21)</i>. Reconfigurable Computing: Architectures, Tools, and Applications.
    Springer Lecture Notes in Computer Science. doi:<a href="https://doi.org/10.1007/978-3-030-79025-7_4">10.1007/978-3-030-79025-7_4</a>'
  apa: Witschen, L. M., Wiersema, T., Raeisi Nafchi, M., Bockhorn, A., &#38; Platzner,
    M. (n.d.). Timing Optimization for Virtual FPGA Configurations. In F. Hannig,
    S. Derrien, P. Diniz, &#38; D. Chillet (Eds.), <i>Proceedings of International
    Symposium on Applied Reconfigurable Computing (ARC’21)</i>. Springer Lecture Notes
    in Computer Science. <a href="https://doi.org/10.1007/978-3-030-79025-7_4">https://doi.org/10.1007/978-3-030-79025-7_4</a>
  bibtex: '@inproceedings{Witschen_Wiersema_Raeisi Nafchi_Bockhorn_Platzner, series={Reconfigurable
    Computing: Architectures, Tools, and Applications}, title={Timing Optimization
    for Virtual FPGA Configurations}, DOI={<a href="https://doi.org/10.1007/978-3-030-79025-7_4">10.1007/978-3-030-79025-7_4</a>},
    booktitle={Proceedings of International Symposium on Applied Reconfigurable Computing
    (ARC’21)}, publisher={Springer Lecture Notes in Computer Science}, author={Witschen,
    Linus Matthias and Wiersema, Tobias and Raeisi Nafchi, Masood and Bockhorn, Arne
    and Platzner, Marco}, editor={Hannig, Frank and Derrien, Steven and Diniz, Pedro
    and Chillet, Daniel}, collection={Reconfigurable Computing: Architectures, Tools,
    and Applications} }'
  chicago: 'Witschen, Linus Matthias, Tobias Wiersema, Masood Raeisi Nafchi, Arne
    Bockhorn, and Marco Platzner. “Timing Optimization for Virtual FPGA Configurations.”
    In <i>Proceedings of International Symposium on Applied Reconfigurable Computing
    (ARC’21)</i>, edited by Frank Hannig, Steven Derrien, Pedro Diniz, and Daniel
    Chillet. Reconfigurable Computing: Architectures, Tools, and Applications. Springer
    Lecture Notes in Computer Science, n.d. <a href="https://doi.org/10.1007/978-3-030-79025-7_4">https://doi.org/10.1007/978-3-030-79025-7_4</a>.'
  ieee: 'L. M. Witschen, T. Wiersema, M. Raeisi Nafchi, A. Bockhorn, and M. Platzner,
    “Timing Optimization for Virtual FPGA Configurations,” in <i>Proceedings of International
    Symposium on Applied Reconfigurable Computing (ARC’21)</i>, Virtual conference,
    doi: <a href="https://doi.org/10.1007/978-3-030-79025-7_4">10.1007/978-3-030-79025-7_4</a>.'
  mla: Witschen, Linus Matthias, et al. “Timing Optimization for Virtual FPGA Configurations.”
    <i>Proceedings of International Symposium on Applied Reconfigurable Computing
    (ARC’21)</i>, edited by Frank Hannig et al., Springer Lecture Notes in Computer
    Science, doi:<a href="https://doi.org/10.1007/978-3-030-79025-7_4">10.1007/978-3-030-79025-7_4</a>.
  short: 'L.M. Witschen, T. Wiersema, M. Raeisi Nafchi, A. Bockhorn, M. Platzner,
    in: F. Hannig, S. Derrien, P. Diniz, D. Chillet (Eds.), Proceedings of International
    Symposium on Applied Reconfigurable Computing (ARC’21), Springer Lecture Notes
    in Computer Science, n.d.'
conference:
  end_date: 2021-07-01
  location: Virtual conference
  name: International Symposium on Applied Reconfigurable Computing
  start_date: 2021-06-29
date_created: 2021-05-04T14:18:46Z
date_updated: 2022-02-14T11:03:09Z
department:
- _id: '78'
doi: 10.1007/978-3-030-79025-7_4
editor:
- first_name: Frank
  full_name: Hannig, Frank
  last_name: Hannig
- first_name: Steven
  full_name: Derrien, Steven
  last_name: Derrien
- first_name: Pedro
  full_name: Diniz, Pedro
  last_name: Diniz
- first_name: Daniel
  full_name: Chillet, Daniel
  last_name: Chillet
language:
- iso: eng
project:
- _id: '1'
  name: SFB 901
- _id: '3'
  name: SFB 901 - Project Area B
- _id: '12'
  name: SFB 901 - Subproject B4
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Proceedings of International Symposium on Applied Reconfigurable Computing
  (ARC'21)
publication_status: accepted
publisher: Springer Lecture Notes in Computer Science
series_title: 'Reconfigurable Computing: Architectures, Tools, and Applications'
status: public
title: Timing Optimization for Virtual FPGA Configurations
type: conference
user_id: '3118'
year: '2021'
...
