---
_id: '60680'
abstract:
- lang: eng
  text: "Classical machine learning techniques often struggle with overfitting and
    unreliable predictions when exposed to novel conditions. Introducing causality
    into the modelling process offers a promising way to mitigate these challenges
    by enhancing predictive robustness. However, constructing an initial causal graph
    manually using domain knowledge is time-consuming, particularly in complex time
    series with numerous variables. To address this, causal discovery algorithms can
    provide a preliminary causal structure that domain experts can refine. This study
    investigates causal feature selection with domain knowledge using a data center
    system as an example. We use simulated time-series data to compare \r\ndifferent
    causal feature selection with traditional machine-learning feature selection methods.
    Our results show that predictions based on causal features are more robust compared
    to those derived from traditional methods. These findings underscore the potential
    of combining causal discovery algorithms with human expertise to improve machine
    learning applications."
author:
- first_name: David Ricardo
  full_name: Zapata Gonzalez, David Ricardo
  id: '105506'
  last_name: Zapata Gonzalez
- first_name: Marcel
  full_name: Meyer, Marcel
  id: '105120'
  last_name: Meyer
- first_name: Oliver
  full_name: Müller, Oliver
  id: '72849'
  last_name: Müller
citation:
  ama: 'Zapata Gonzalez DR, Meyer M, Müller O. Bridging the gap between data-driven
    and theory-driven modelling – leveraging causal machine learning for integrative
    modelling of dynamical systems. In: ; 2025.'
  apa: Zapata Gonzalez, D. R., Meyer, M., &#38; Müller, O. (2025). <i>Bridging the
    gap between data-driven and theory-driven modelling – leveraging causal machine
    learning for integrative modelling of dynamical systems</i>. European Conference
    on Information Systems, Amman, Jordan.
  bibtex: '@inproceedings{Zapata Gonzalez_Meyer_Müller_2025, title={Bridging the gap
    between data-driven and theory-driven modelling – leveraging causal machine learning
    for integrative modelling of dynamical systems}, author={Zapata Gonzalez, David
    Ricardo and Meyer, Marcel and Müller, Oliver}, year={2025} }'
  chicago: Zapata Gonzalez, David Ricardo, Marcel Meyer, and Oliver Müller. “Bridging
    the Gap between Data-Driven and Theory-Driven Modelling – Leveraging Causal Machine
    Learning for Integrative Modelling of Dynamical Systems,” 2025.
  ieee: D. R. Zapata Gonzalez, M. Meyer, and O. Müller, “Bridging the gap between
    data-driven and theory-driven modelling – leveraging causal machine learning for
    integrative modelling of dynamical systems,” presented at the European Conference
    on Information Systems, Amman, Jordan, 2025.
  mla: Zapata Gonzalez, David Ricardo, et al. <i>Bridging the Gap between Data-Driven
    and Theory-Driven Modelling – Leveraging Causal Machine Learning for Integrative
    Modelling of Dynamical Systems</i>. 2025.
  short: 'D.R. Zapata Gonzalez, M. Meyer, O. Müller, in: 2025.'
conference:
  end_date: 18.06.2025
  location: Amman, Jordan
  name: European Conference on Information Systems
  start_date: 16.06.2025
date_created: 2025-07-21T07:52:03Z
date_updated: 2025-07-22T06:30:37Z
department:
- _id: '196'
keyword:
- Causal Machine Learning
- Causality in Time Series
- Causal Discovery
- Human-Machine  Collaboration
language:
- iso: eng
main_file_link:
- url: https://aisel.aisnet.org/ecis2025/bus_analytics/bus_analytics/2/
status: public
title: Bridging the gap between data-driven and theory-driven modelling – leveraging
  causal machine learning for integrative modelling of dynamical systems
type: conference
user_id: '72849'
year: '2025'
...
---
_id: '49109'
abstract:
- lang: eng
  text: "We propose a diarization system, that estimates “who spoke when” based on
    spatial information, to be used as a front-end of a meeting transcription system
    running on the signals gathered from an acoustic sensor network (ASN). Although
    the\r\nspatial distribution of the microphones is advantageous, exploiting the
    spatial diversity for diarization and signal enhancement is challenging, because
    the microphones’ positions are typically unknown, and the recorded signals are
    initially unsynchronized in general. Here, we approach these issues by first blindly
    synchronizing the signals and then estimating time differences of arrival (TDOAs).
    The TDOA information is exploited to estimate the speakers’ activity, even in
    the presence of multiple speakers being simultaneously active. This speaker activity
    information serves as a guide for a spatial mixture model, on which basis the
    individual speaker’s signals are extracted via beamforming. Finally, the extracted
    signals are forwarded to a speech recognizer. Additionally, a novel initialization
    scheme for spatial mixture models based on the TDOA estimates is proposed. Experiments
    conducted on real recordings from the LibriWASN data set have shown that our proposed
    system is advantageous compared to a system using a spatial mixture model, which
    does not make use\r\nof external diarization information."
author:
- first_name: Tobias
  full_name: Gburrek, Tobias
  id: '44006'
  last_name: Gburrek
- first_name: Joerg
  full_name: Schmalenstroeer, Joerg
  id: '460'
  last_name: Schmalenstroeer
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Gburrek T, Schmalenstroeer J, Haeb-Umbach R. Spatial Diarization for Meeting
    Transcription with Ad-Hoc Acoustic Sensor Networks. In: <i>Proc. Asilomar Conference
    on Signals, Systems, and Computers</i>. ; 2023.'
  apa: Gburrek, T., Schmalenstroeer, J., &#38; Haeb-Umbach, R. (2023). Spatial Diarization
    for Meeting Transcription with Ad-Hoc Acoustic Sensor Networks. <i>Proc. Asilomar
    Conference on Signals, Systems, and Computers</i>. 57th Asilomar Conference on
    Signals, Systems, and Computers.
  bibtex: '@inproceedings{Gburrek_Schmalenstroeer_Haeb-Umbach_2023, title={Spatial
    Diarization for Meeting Transcription with Ad-Hoc Acoustic Sensor Networks}, booktitle={Proc.
    Asilomar Conference on Signals, Systems, and Computers}, author={Gburrek, Tobias
    and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2023} }'
  chicago: Gburrek, Tobias, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Spatial
    Diarization for Meeting Transcription with Ad-Hoc Acoustic Sensor Networks.” In
    <i>Proc. Asilomar Conference on Signals, Systems, and Computers</i>, 2023.
  ieee: T. Gburrek, J. Schmalenstroeer, and R. Haeb-Umbach, “Spatial Diarization for
    Meeting Transcription with Ad-Hoc Acoustic Sensor Networks,” presented at the
    57th Asilomar Conference on Signals, Systems, and Computers, 2023.
  mla: Gburrek, Tobias, et al. “Spatial Diarization for Meeting Transcription with
    Ad-Hoc Acoustic Sensor Networks.” <i>Proc. Asilomar Conference on Signals, Systems,
    and Computers</i>, 2023.
  short: 'T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, in: Proc. Asilomar Conference
    on Signals, Systems, and Computers, 2023.'
conference:
  end_date: 2023-11-01
  name: 57th Asilomar Conference on Signals, Systems, and Computers
  start_date: 2023-10-31
date_created: 2023-11-22T07:52:29Z
date_updated: 2023-11-22T07:58:49Z
ddc:
- '004'
department:
- _id: '54'
file:
- access_level: open_access
  content_type: application/pdf
  creator: schmalen
  date_created: 2023-11-22T07:51:18Z
  date_updated: 2023-11-22T07:58:49Z
  file_id: '49110'
  file_name: asilomar.pdf
  file_size: 212317
  relation: main_file
file_date_updated: 2023-11-22T07:58:49Z
has_accepted_license: '1'
keyword:
- Diarization
- time difference of arrival
- ad-hoc acoustic sensor network
- meeting transcription
language:
- iso: eng
oa: '1'
publication: Proc. Asilomar Conference on Signals, Systems, and Computers
quality_controlled: '1'
status: public
title: Spatial Diarization for Meeting Transcription with Ad-Hoc Acoustic Sensor Networks
type: conference
user_id: '460'
year: '2023'
...
---
_id: '37312'
abstract:
- lang: eng
  text: Optimal decision making requires appropriate evaluation of advice. Recent
    literature reports that algorithm aversion reduces the effectiveness of predictive
    algorithms. However, it remains unclear how people recover from bad advice given
    by an otherwise good advisor. Previous work has focused on algorithm aversion
    at a single time point. We extend this work by examining successive decisions
    in a time series forecasting task using an online between-subjects experiment
    (N = 87). Our empirical results do not confirm algorithm aversion immediately
    after bad advice. The estimated effect suggests an increasing algorithm appreciation
    over time. Our work extends the current knowledge on algorithm aversion with insights
    into how weight on advice is adjusted over consecutive tasks. Since most forecasting
    tasks are not one-off decisions, this also has implications for practitioners.
author:
- first_name: Dirk
  full_name: Leffrang, Dirk
  id: '51271'
  last_name: Leffrang
  orcid: 0000-0001-9004-2391
- first_name: Kevin
  full_name: Bösch, Kevin
  last_name: Bösch
- first_name: Oliver
  full_name: Müller, Oliver
  id: '72849'
  last_name: Müller
citation:
  ama: 'Leffrang D, Bösch K, Müller O. Do People Recover from Algorithm Aversion?
    An Experimental Study of Algorithm Aversion over Time. In: <i>Hawaii International
    Conference on System Sciences</i>. ; 2023.'
  apa: Leffrang, D., Bösch, K., &#38; Müller, O. (2023). Do People Recover from Algorithm
    Aversion? An Experimental Study of Algorithm Aversion over Time. <i>Hawaii International
    Conference on System Sciences</i>. Hawaii International Conference on System Sciences.
  bibtex: '@inproceedings{Leffrang_Bösch_Müller_2023, title={Do People Recover from
    Algorithm Aversion? An Experimental Study of Algorithm Aversion over Time}, booktitle={Hawaii
    International Conference on System Sciences}, author={Leffrang, Dirk and Bösch,
    Kevin and Müller, Oliver}, year={2023} }'
  chicago: Leffrang, Dirk, Kevin Bösch, and Oliver Müller. “Do People Recover from
    Algorithm Aversion? An Experimental Study of Algorithm Aversion over Time.” In
    <i>Hawaii International Conference on System Sciences</i>, 2023.
  ieee: D. Leffrang, K. Bösch, and O. Müller, “Do People Recover from Algorithm Aversion?
    An Experimental Study of Algorithm Aversion over Time,” presented at the Hawaii
    International Conference on System Sciences, 2023.
  mla: Leffrang, Dirk, et al. “Do People Recover from Algorithm Aversion? An Experimental
    Study of Algorithm Aversion over Time.” <i>Hawaii International Conference on
    System Sciences</i>, 2023.
  short: 'D. Leffrang, K. Bösch, O. Müller, in: Hawaii International Conference on
    System Sciences, 2023.'
conference:
  name: Hawaii International Conference on System Sciences
date_created: 2023-01-18T10:53:51Z
date_updated: 2024-01-10T09:52:59Z
department:
- _id: '196'
keyword:
- Algorithm aversion
- Time series
- Decision making
- Advice taking
- Forecasting
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://scholarspace.manoa.hawaii.edu/items/62b58ddc-895c-48c3-8194-522a1758a26f
oa: '1'
publication: Hawaii International Conference on System Sciences
status: public
title: Do People Recover from Algorithm Aversion? An Experimental Study of Algorithm
  Aversion over Time
type: conference
user_id: '51271'
year: '2023'
...
---
_id: '50479'
abstract:
- lang: eng
  text: Verifying assertions is an essential part of creating and maintaining knowledge
    graphs. Most often, this task cannot be carried out manually due to the sheer
    size of modern knowledge graphs. Hence, automatic fact-checking approaches have
    been proposed over the last decade. These approaches aim to compute automatically
    whether a given assertion is correct or incorrect. However, most fact-checking
    approaches are binary classifiers that fail to consider the volatility of some
    assertions, i.e., the fact that such assertions are only valid at certain times
    or for specific time intervals. Moreover, the few approaches able to predict when
    an assertion was valid (i.e., time-point prediction approaches) rely on manual
    feature engineering. This paper presents TEMPORALFC, a temporal fact-checking
    approach that uses multiple sources of background knowledge to assess the veracity
    and temporal validity of a given assertion. We evaluate TEMPORALFC on two datasets
    and compare it to the state of the art in fact-checking and time-point prediction.
    Our results suggest that TEMPORALFC outperforms the state of the art on the fact-checking
    task by 0.13 to 0.15 in terms of Area Under the Receiver Operating Characteristic
    curve and on the time-point prediction task by 0.25 to 0.27 in terms of Mean Reciprocal
    Rank. Our code is open-source and can be found at https://github.com/dice-group/TemporalFC.
author:
- first_name: Umair
  full_name: Qudus, Umair
  last_name: Qudus
- first_name: Michael
  full_name: Röder, Michael
  last_name: Röder
- first_name: Sabrina
  full_name: Kirrane, Sabrina
  last_name: Kirrane
- first_name: Axel-Cyrille Ngonga
  full_name: Ngomo, Axel-Cyrille Ngonga
  last_name: Ngomo
citation:
  ama: 'Qudus U, Röder M, Kirrane S, Ngomo A-CN. TemporalFC: A Temporal Fact Checking
    Approach over Knowledge Graphs. In: R. Payne T, Presutti V, Qi G, et al., eds.
    <i>The Semantic Web – ISWC 2023</i>. Vol 14265.  Lecture Notes in Computer Science.
    Springer, Cham; 2023:465–483. doi:<a href="https://doi.org/10.1007/978-3-031-47240-4_25">10.1007/978-3-031-47240-4_25</a>'
  apa: 'Qudus, U., Röder, M., Kirrane, S., &#38; Ngomo, A.-C. N. (2023). TemporalFC:
    A Temporal Fact Checking Approach over Knowledge Graphs. In T. R. Payne, V. Presutti,
    G. Qi, M. Poveda-Villalón, G. Stoilos, L. Hollink, Z. Kaoudi, G. Cheng, &#38;
    J. Li (Eds.), <i>The Semantic Web – ISWC 2023</i> (Vol. 14265, pp. 465–483). Springer,
    Cham. <a href="https://doi.org/10.1007/978-3-031-47240-4_25">https://doi.org/10.1007/978-3-031-47240-4_25</a>'
  bibtex: '@inproceedings{Qudus_Röder_Kirrane_Ngomo_2023, place={Cham}, series={ Lecture
    Notes in Computer Science}, title={TemporalFC: A Temporal Fact Checking Approach
    over Knowledge Graphs}, volume={14265}, DOI={<a href="https://doi.org/10.1007/978-3-031-47240-4_25">10.1007/978-3-031-47240-4_25</a>},
    booktitle={The Semantic Web – ISWC 2023}, publisher={Springer, Cham}, author={Qudus,
    Umair and Röder, Michael and Kirrane, Sabrina and Ngomo, Axel-Cyrille Ngonga},
    editor={R. Payne, Terry and Presutti, Valentina and Qi, Guilin and Poveda-Villalón,
    María and Stoilos, Giorgos and Hollink, Laura and Kaoudi, Zoi and Cheng, Gong
    and Li, Juanzi}, year={2023}, pages={465–483}, collection={ Lecture Notes in Computer
    Science} }'
  chicago: 'Qudus, Umair, Michael Röder, Sabrina Kirrane, and Axel-Cyrille Ngonga
    Ngomo. “TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs.”
    In <i>The Semantic Web – ISWC 2023</i>, edited by Terry R. Payne, Valentina Presutti,
    Guilin Qi, María Poveda-Villalón, Giorgos Stoilos, Laura Hollink, Zoi Kaoudi,
    Gong Cheng, and Juanzi Li, 14265:465–483.  Lecture Notes in Computer Science.
    Cham: Springer, Cham, 2023. <a href="https://doi.org/10.1007/978-3-031-47240-4_25">https://doi.org/10.1007/978-3-031-47240-4_25</a>.'
  ieee: 'U. Qudus, M. Röder, S. Kirrane, and A.-C. N. Ngomo, “TemporalFC: A Temporal
    Fact Checking Approach over Knowledge Graphs,” in <i>The Semantic Web – ISWC 2023</i>,
    Athens, Greece, 2023, vol. 14265, pp. 465–483, doi: <a href="https://doi.org/10.1007/978-3-031-47240-4_25">10.1007/978-3-031-47240-4_25</a>.'
  mla: 'Qudus, Umair, et al. “TemporalFC: A Temporal Fact Checking Approach over Knowledge
    Graphs.” <i>The Semantic Web – ISWC 2023</i>, edited by Terry R. Payne et al.,
    vol. 14265, Springer, Cham, 2023, pp. 465–483, doi:<a href="https://doi.org/10.1007/978-3-031-47240-4_25">10.1007/978-3-031-47240-4_25</a>.'
  short: 'U. Qudus, M. Röder, S. Kirrane, A.-C.N. Ngomo, in: T. R. Payne, V. Presutti,
    G. Qi, M. Poveda-Villalón, G. Stoilos, L. Hollink, Z. Kaoudi, G. Cheng, J. Li
    (Eds.), The Semantic Web – ISWC 2023, Springer, Cham, Cham, 2023, pp. 465–483.'
conference:
  end_date: 2023-11-10
  location: Athens, Greece
  name: The Semantic Web – ISWC 2023
  start_date: 2023-11-06
date_created: 2024-01-13T11:22:15Z
date_updated: 2024-01-13T11:48:28Z
ddc:
- '006'
department:
- _id: '34'
doi: 10.1007/978-3-031-47240-4_25
editor:
- first_name: Terry
  full_name: R. Payne, Terry
  last_name: R. Payne
- first_name: Valentina
  full_name: Presutti, Valentina
  last_name: Presutti
- first_name: Guilin
  full_name: Qi, Guilin
  last_name: Qi
- first_name: María
  full_name: Poveda-Villalón, María
  last_name: Poveda-Villalón
- first_name: Giorgos
  full_name: Stoilos, Giorgos
  last_name: Stoilos
- first_name: Laura
  full_name: Hollink, Laura
  last_name: Hollink
- first_name: Zoi
  full_name: Kaoudi, Zoi
  last_name: Kaoudi
- first_name: Gong
  full_name: Cheng, Gong
  last_name: Cheng
- first_name: Juanzi
  full_name: Li, Juanzi
  last_name: Li
file:
- access_level: closed
  content_type: application/pdf
  creator: uqudus
  date_created: 2024-01-13T11:25:48Z
  date_updated: 2024-01-13T11:25:48Z
  file_id: '50480'
  file_name: ISWC 2023 TemporalFC-A Temporal Fact Checking approach over Knowledge
    Graphs.pdf
  file_size: 1944818
  relation: main_file
  success: 1
file_date_updated: 2024-01-13T11:25:48Z
has_accepted_license: '1'
intvolume: '     14265'
jel:
- C
keyword:
- temporal fact checking · ensemble learning · transfer learning · time-point prediction
  · temporal knowledge graphs
language:
- iso: eng
page: 465–483
place: Cham
project:
- _id: '410'
  grant_number: '860801'
  name: 'KnowGraphs: KnowGraphs: Knowledge Graphs at Scale'
publication: The Semantic Web – ISWC 2023
publication_identifier:
  isbn:
  - '9783031472398'
  - '9783031472404'
  issn:
  - 0302-9743
  - 1611-3349
publication_status: published
publisher: Springer, Cham
series_title: ' Lecture Notes in Computer Science'
status: public
title: 'TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs'
type: conference
user_id: '83392'
volume: 14265
year: '2023'
...
---
_id: '33849'
abstract:
- lang: eng
  text: Modern traffic control systems are key to cope with current and future traffic
    challenges. In this paper information obtained from a microscopic traffic estimation
    using various data sources is used to feed a new developed traffic control approach.
    The presented method can control a traffic area with multiple traffic light systems
    (TLS) reacting to individual road users and pedestrians. In contrast to widespread
    green time extension techniques, this control selects the best phase sequence
    by analyzing the current traffic state reconstructed in SUMO and its predicted
    progress. To achieve this, the key aspect of the control strategy is to use Model
    Predictive Control (MPC). In order to maintain realism for real world applications,
    among other things, the traffic phase transitions are modelled in detail and integrated
    within the prediction. For the efficiency, the approach incorporates a fuzzy logic
    preselection of all phases reducing the computational effort. The evaluation itself
    is able to be easily adjusted to focus on various objectives like low occupancies,
    reducing waiting times and emissions, few number of phase transitions etc. determining
    the best switching times for the selected phases. Exemplary traffic simulations
    demonstrate the functionality of the MPC-based control and, in addition, some
    aspects under development like the real-world communication network are also discussed.
author:
- first_name: Kevin
  full_name: Malena, Kevin
  id: '36303'
  last_name: Malena
  orcid: 0000-0003-1183-4679
- first_name: Christopher
  full_name: Link, Christopher
  id: '38249'
  last_name: Link
- first_name: Leon
  full_name: Bußemas, Leon
  id: '51118'
  last_name: Bußemas
- first_name: Sandra
  full_name: Gausemeier, Sandra
  id: '17793'
  last_name: Gausemeier
- first_name: Ansgar
  full_name: Trächtler, Ansgar
  id: '552'
  last_name: Trächtler
citation:
  ama: 'Malena K, Link C, Bußemas L, Gausemeier S, Trächtler A. Traffic Estimation
    and MPC-Based Traffic Light System Control in Realistic Real-Time Traffic Environments.
    In: Klein C, Jarke M, Helfert M, Berns K, Gusikhin O, eds. <i>Communications in
    Computer and Information Science</i>. Vol 1612. Communications in Computer and
    Information Science. Springer International Publishing; 2022:232–254. doi:<a href="https://doi.org/10.1007/978-3-031-17098-0_12">10.1007/978-3-031-17098-0_12</a>'
  apa: Malena, K., Link, C., Bußemas, L., Gausemeier, S., &#38; Trächtler, A. (2022).
    Traffic Estimation and MPC-Based Traffic Light System Control in Realistic Real-Time
    Traffic Environments. In C. Klein, M. Jarke, M. Helfert, K. Berns, &#38; O. Gusikhin
    (Eds.), <i>Communications in Computer and Information Science</i> (Vol. 1612,
    pp. 232–254). Springer International Publishing. <a href="https://doi.org/10.1007/978-3-031-17098-0_12">https://doi.org/10.1007/978-3-031-17098-0_12</a>
  bibtex: '@inbook{Malena_Link_Bußemas_Gausemeier_Trächtler_2022, place={Cham}, series={Communications
    in Computer and Information Science}, title={Traffic Estimation and MPC-Based
    Traffic Light System Control in Realistic Real-Time Traffic Environments}, volume={1612},
    DOI={<a href="https://doi.org/10.1007/978-3-031-17098-0_12">10.1007/978-3-031-17098-0_12</a>},
    booktitle={Communications in Computer and Information Science}, publisher={Springer
    International Publishing}, author={Malena, Kevin and Link, Christopher and Bußemas,
    Leon and Gausemeier, Sandra and Trächtler, Ansgar}, editor={Klein, Cornel and
    Jarke, Mathias and Helfert, Markus and Berns, Karsten and Gusikhin, Oleg}, year={2022},
    pages={232–254}, collection={Communications in Computer and Information Science}
    }'
  chicago: 'Malena, Kevin, Christopher Link, Leon Bußemas, Sandra Gausemeier, and
    Ansgar Trächtler. “Traffic Estimation and MPC-Based Traffic Light System Control
    in Realistic Real-Time Traffic Environments.” In <i>Communications in Computer
    and Information Science</i>, edited by Cornel Klein, Mathias Jarke, Markus Helfert,
    Karsten Berns, and Oleg Gusikhin, 1612:232–254. Communications in Computer and
    Information Science. Cham: Springer International Publishing, 2022. <a href="https://doi.org/10.1007/978-3-031-17098-0_12">https://doi.org/10.1007/978-3-031-17098-0_12</a>.'
  ieee: 'K. Malena, C. Link, L. Bußemas, S. Gausemeier, and A. Trächtler, “Traffic
    Estimation and MPC-Based Traffic Light System Control in Realistic Real-Time Traffic
    Environments,” in <i>Communications in Computer and Information Science</i>, vol.
    1612, C. Klein, M. Jarke, M. Helfert, K. Berns, and O. Gusikhin, Eds. Cham: Springer
    International Publishing, 2022, pp. 232–254.'
  mla: Malena, Kevin, et al. “Traffic Estimation and MPC-Based Traffic Light System
    Control in Realistic Real-Time Traffic Environments.” <i>Communications in Computer
    and Information Science</i>, edited by Cornel Klein et al., vol. 1612, Springer
    International Publishing, 2022, pp. 232–254, doi:<a href="https://doi.org/10.1007/978-3-031-17098-0_12">10.1007/978-3-031-17098-0_12</a>.
  short: 'K. Malena, C. Link, L. Bußemas, S. Gausemeier, A. Trächtler, in: C. Klein,
    M. Jarke, M. Helfert, K. Berns, O. Gusikhin (Eds.), Communications in Computer
    and Information Science, Springer International Publishing, Cham, 2022, pp. 232–254.'
date_created: 2022-10-20T15:06:39Z
date_updated: 2026-01-26T08:49:52Z
department:
- _id: '153'
doi: 10.1007/978-3-031-17098-0_12
editor:
- first_name: Cornel
  full_name: Klein, Cornel
  last_name: Klein
- first_name: Mathias
  full_name: Jarke, Mathias
  last_name: Jarke
- first_name: Markus
  full_name: Helfert, Markus
  last_name: Helfert
- first_name: Karsten
  full_name: Berns, Karsten
  last_name: Berns
- first_name: Oleg
  full_name: Gusikhin, Oleg
  last_name: Gusikhin
intvolume: '      1612'
keyword:
- Traffic control
- Traffic estimation
- Real-time
- MPC
- Fuzzy
- Isolated intersection
- Networked intersection
- Sensor fusion
language:
- iso: eng
page: 232–254
place: Cham
publication: Communications in Computer and Information Science
publication_identifier:
  isbn:
  - '9783031170973'
  - '9783031170980'
  issn:
  - 1865-0929
  - 1865-0937
publication_status: published
publisher: Springer International Publishing
quality_controlled: '1'
related_material:
  record:
  - id: '24159'
    relation: continues
    status: public
series_title: Communications in Computer and Information Science
status: public
title: Traffic Estimation and MPC-Based Traffic Light System Control in Realistic
  Real-Time Traffic Environments
type: book_chapter
user_id: '552'
volume: 1612
year: '2022'
...
---
_id: '48854'
abstract:
- lang: eng
  text: We contribute to the theoretical understanding of randomized search heuristics
    for dynamic problems. We consider the classical vertex coloring problem on graphs
    and investigate the dynamic setting where edges are added to the current graph.
    We then analyze the expected time for randomized search heuristics to recompute
    high quality solutions. The (1+1) Evolutionary Algorithm and RLS operate in a
    setting where the number of colors is bounded and we are minimizing the number
    of conflicts. Iterated local search algorithms use an unbounded color palette
    and aim to use the smallest colors and, consequently, the smallest number of colors.
    We identify classes of bipartite graphs where reoptimization is as hard as or
    even harder than optimization from scratch, i.e., starting with a random initialization.
    Even adding a single edge can lead to hard symmetry problems. However, graph classes
    that are hard for one algorithm turn out to be easy for others. In most cases
    our bounds show that reoptimization is faster than optimizing from scratch. We
    further show that tailoring mutation operators to parts of the graph where changes
    have occurred can significantly reduce the expected reoptimization time. In most
    settings the expected reoptimization time for such tailored algorithms is linear
    in the number of added edges. However, tailored algorithms cannot prevent exponential
    times in settings where the original algorithm is inefficient.
author:
- first_name: Jakob
  full_name: Bossek, Jakob
  id: '102979'
  last_name: Bossek
  orcid: 0000-0002-4121-4668
- first_name: Frank
  full_name: Neumann, Frank
  last_name: Neumann
- first_name: Pan
  full_name: Peng, Pan
  last_name: Peng
- first_name: Dirk
  full_name: Sudholt, Dirk
  last_name: Sudholt
citation:
  ama: Bossek J, Neumann F, Peng P, Sudholt D. Time Complexity Analysis of Randomized
    Search Heuristics for the Dynamic Graph Coloring Problem. <i>Algorithmica</i>.
    2021;83(10):3148–3179. doi:<a href="https://doi.org/10.1007/s00453-021-00838-3">10.1007/s00453-021-00838-3</a>
  apa: Bossek, J., Neumann, F., Peng, P., &#38; Sudholt, D. (2021). Time Complexity
    Analysis of Randomized Search Heuristics for the Dynamic Graph Coloring Problem.
    <i>Algorithmica</i>, <i>83</i>(10), 3148–3179. <a href="https://doi.org/10.1007/s00453-021-00838-3">https://doi.org/10.1007/s00453-021-00838-3</a>
  bibtex: '@article{Bossek_Neumann_Peng_Sudholt_2021, title={Time Complexity Analysis
    of Randomized Search Heuristics for the Dynamic Graph Coloring Problem}, volume={83},
    DOI={<a href="https://doi.org/10.1007/s00453-021-00838-3">10.1007/s00453-021-00838-3</a>},
    number={10}, journal={Algorithmica}, author={Bossek, Jakob and Neumann, Frank
    and Peng, Pan and Sudholt, Dirk}, year={2021}, pages={3148–3179} }'
  chicago: 'Bossek, Jakob, Frank Neumann, Pan Peng, and Dirk Sudholt. “Time Complexity
    Analysis of Randomized Search Heuristics for the Dynamic Graph Coloring Problem.”
    <i>Algorithmica</i> 83, no. 10 (2021): 3148–3179. <a href="https://doi.org/10.1007/s00453-021-00838-3">https://doi.org/10.1007/s00453-021-00838-3</a>.'
  ieee: 'J. Bossek, F. Neumann, P. Peng, and D. Sudholt, “Time Complexity Analysis
    of Randomized Search Heuristics for the Dynamic Graph Coloring Problem,” <i>Algorithmica</i>,
    vol. 83, no. 10, pp. 3148–3179, 2021, doi: <a href="https://doi.org/10.1007/s00453-021-00838-3">10.1007/s00453-021-00838-3</a>.'
  mla: Bossek, Jakob, et al. “Time Complexity Analysis of Randomized Search Heuristics
    for the Dynamic Graph Coloring Problem.” <i>Algorithmica</i>, vol. 83, no. 10,
    2021, pp. 3148–3179, doi:<a href="https://doi.org/10.1007/s00453-021-00838-3">10.1007/s00453-021-00838-3</a>.
  short: J. Bossek, F. Neumann, P. Peng, D. Sudholt, Algorithmica 83 (2021) 3148–3179.
date_created: 2023-11-14T15:58:54Z
date_updated: 2023-12-13T10:51:34Z
department:
- _id: '819'
doi: 10.1007/s00453-021-00838-3
intvolume: '        83'
issue: '10'
keyword:
- Dynamic optimization
- Evolutionary algorithms
- Running time analysis
language:
- iso: eng
page: 3148–3179
publication: Algorithmica
publication_identifier:
  issn:
  - 0178-4617
status: public
title: Time Complexity Analysis of Randomized Search Heuristics for the Dynamic Graph
  Coloring Problem
type: journal_article
user_id: '102979'
volume: 83
year: '2021'
...
---
_id: '24547'
abstract:
- lang: eng
  text: 'Over the last years, several approaches for the data-driven estimation of
    expected possession value (EPV) in basketball and association football (soccer)
    have been proposed. In this paper, we develop and evaluate PIVOT: the first such
    framework for team handball. Accounting for the fast-paced, dynamic nature and
    relative data scarcity of hand- ball, we propose a parsimonious end-to-end deep
    learning architecture that relies solely on tracking data. This efficient approach
    is capable of predicting the probability that a team will score within the near
    future given the fine-grained spatio-temporal distribution of all players and
    the ball over the last seconds of the game. Our experiments indicate that PIVOT
    is able to produce accurate and calibrated probability estimates, even when trained
    on a relatively small dataset. We also showcase two interactive applications of
    PIVOT for valuing actual and counterfactual player decisions and actions in real-time.'
author:
- first_name: Oliver
  full_name: Müller, Oliver
  id: '72849'
  last_name: Müller
- first_name: Matthew
  full_name: Caron, Matthew
  id: '60721'
  last_name: Caron
- first_name: Michael
  full_name: Döring, Michael
  last_name: Döring
- first_name: Tim
  full_name: Heuwinkel, Tim
  last_name: Heuwinkel
- first_name: Jochen
  full_name: Baumeister, Jochen
  id: '46'
  last_name: Baumeister
  orcid: 0000-0003-2683-5826
citation:
  ama: 'Müller O, Caron M, Döring M, Heuwinkel T, Baumeister J. PIVOT: A Parsimonious
    End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking
    Data. In: <i>8th Workshop on Machine Learning and Data Mining for Sports Analytics
    (ECML PKDD 2021)</i>.'
  apa: 'Müller, O., Caron, M., Döring, M., Heuwinkel, T., &#38; Baumeister, J. (n.d.).
    PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions
    in Handball using Tracking Data. <i>8th Workshop on Machine Learning and Data
    Mining for Sports Analytics (ECML PKDD 2021)</i>. European Conference on Machine
    Learning and Principles and Practice of Knowledge Discovery (ECML PKDD 2021),
    Online.'
  bibtex: '@inproceedings{Müller_Caron_Döring_Heuwinkel_Baumeister, title={PIVOT:
    A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball
    using Tracking Data}, booktitle={8th Workshop on Machine Learning and Data Mining
    for Sports Analytics (ECML PKDD 2021)}, author={Müller, Oliver and Caron, Matthew
    and Döring, Michael and Heuwinkel, Tim and Baumeister, Jochen} }'
  chicago: 'Müller, Oliver, Matthew Caron, Michael Döring, Tim Heuwinkel, and Jochen
    Baumeister. “PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player
    Actions in Handball Using Tracking Data.” In <i>8th Workshop on Machine Learning
    and Data Mining for Sports Analytics (ECML PKDD 2021)</i>, n.d.'
  ieee: 'O. Müller, M. Caron, M. Döring, T. Heuwinkel, and J. Baumeister, “PIVOT:
    A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball
    using Tracking Data,” presented at the European Conference on Machine Learning
    and Principles and Practice of Knowledge Discovery (ECML PKDD 2021), Online.'
  mla: 'Müller, Oliver, et al. “PIVOT: A Parsimonious End-to-End Learning Framework
    for Valuing Player Actions in Handball Using Tracking Data.” <i>8th Workshop on
    Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021)</i>.'
  short: 'O. Müller, M. Caron, M. Döring, T. Heuwinkel, J. Baumeister, in: 8th Workshop
    on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021), n.d.'
conference:
  end_date: 2021-09-17
  location: Online
  name: European Conference on Machine Learning and Principles and Practice of Knowledge
    Discovery (ECML PKDD 2021)
  start_date: 2021-09-13
date_created: 2021-09-16T08:33:04Z
date_updated: 2023-02-28T08:58:24Z
department:
- _id: '196'
- _id: '172'
keyword:
- expected possession value
- handball
- tracking data
- time series classification
- deep learning
language:
- iso: eng
main_file_link:
- url: https://dtai.cs.kuleuven.be/events/MLSA21/papers/MLSA21_paper_muller.pdf
publication: 8th Workshop on Machine Learning and Data Mining for Sports Analytics
  (ECML PKDD 2021)
publication_status: inpress
status: public
title: 'PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions
  in Handball using Tracking Data'
type: conference
user_id: '60721'
year: '2021'
...
---
_id: '48847'
abstract:
- lang: eng
  text: Dynamic optimization problems have gained significant attention in evolutionary
    computation as evolutionary algorithms (EAs) can easily adapt to changing environments.
    We show that EAs can solve the graph coloring problem for bipartite graphs more
    efficiently by using dynamic optimization. In our approach the graph instance
    is given incrementally such that the EA can reoptimize its coloring when a new
    edge introduces a conflict. We show that, when edges are inserted in a way that
    preserves graph connectivity, Randomized Local Search (RLS) efficiently finds
    a proper 2-coloring for all bipartite graphs. This includes graphs for which RLS
    and other EAs need exponential expected time in a static optimization scenario.
    We investigate different ways of building up the graph by popular graph traversals
    such as breadth-first-search and depth-first-search and analyse the resulting
    runtime behavior. We further show that offspring populations (e. g. a (1 + {$\lambda$})
    RLS) lead to an exponential speedup in {$\lambda$}. Finally, an island model using
    3 islands succeeds in an optimal time of {$\Theta$}(m) on every m-edge bipartite
    graph, outperforming offspring populations. This is the first example where an
    island model guarantees a speedup that is not bounded in the number of islands.
author:
- first_name: Jakob
  full_name: Bossek, Jakob
  id: '102979'
  last_name: Bossek
  orcid: 0000-0002-4121-4668
- first_name: Frank
  full_name: Neumann, Frank
  last_name: Neumann
- first_name: Pan
  full_name: Peng, Pan
  last_name: Peng
- first_name: Dirk
  full_name: Sudholt, Dirk
  last_name: Sudholt
citation:
  ama: 'Bossek J, Neumann F, Peng P, Sudholt D. More Effective Randomized Search Heuristics
    for Graph Coloring through Dynamic Optimization. In: <i>Proceedings of the Genetic
    and Evolutionary Computation Conference</i>. GECCO ’20. Association for Computing
    Machinery; 2020:1277–1285. doi:<a href="https://doi.org/10.1145/3377930.3390174">10.1145/3377930.3390174</a>'
  apa: Bossek, J., Neumann, F., Peng, P., &#38; Sudholt, D. (2020). More Effective
    Randomized Search Heuristics for Graph Coloring through Dynamic Optimization.
    <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 1277–1285.
    <a href="https://doi.org/10.1145/3377930.3390174">https://doi.org/10.1145/3377930.3390174</a>
  bibtex: '@inproceedings{Bossek_Neumann_Peng_Sudholt_2020, place={New York, NY, USA},
    series={GECCO ’20}, title={More Effective Randomized Search Heuristics for Graph
    Coloring through Dynamic Optimization}, DOI={<a href="https://doi.org/10.1145/3377930.3390174">10.1145/3377930.3390174</a>},
    booktitle={Proceedings of the Genetic and Evolutionary Computation Conference},
    publisher={Association for Computing Machinery}, author={Bossek, Jakob and Neumann,
    Frank and Peng, Pan and Sudholt, Dirk}, year={2020}, pages={1277–1285}, collection={GECCO
    ’20} }'
  chicago: 'Bossek, Jakob, Frank Neumann, Pan Peng, and Dirk Sudholt. “More Effective
    Randomized Search Heuristics for Graph Coloring through Dynamic Optimization.”
    In <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>,
    1277–1285. GECCO ’20. New York, NY, USA: Association for Computing Machinery,
    2020. <a href="https://doi.org/10.1145/3377930.3390174">https://doi.org/10.1145/3377930.3390174</a>.'
  ieee: 'J. Bossek, F. Neumann, P. Peng, and D. Sudholt, “More Effective Randomized
    Search Heuristics for Graph Coloring through Dynamic Optimization,” in <i>Proceedings
    of the Genetic and Evolutionary Computation Conference</i>, 2020, pp. 1277–1285,
    doi: <a href="https://doi.org/10.1145/3377930.3390174">10.1145/3377930.3390174</a>.'
  mla: Bossek, Jakob, et al. “More Effective Randomized Search Heuristics for Graph
    Coloring through Dynamic Optimization.” <i>Proceedings of the Genetic and Evolutionary
    Computation Conference</i>, Association for Computing Machinery, 2020, pp. 1277–1285,
    doi:<a href="https://doi.org/10.1145/3377930.3390174">10.1145/3377930.3390174</a>.
  short: 'J. Bossek, F. Neumann, P. Peng, D. Sudholt, in: Proceedings of the Genetic
    and Evolutionary Computation Conference, Association for Computing Machinery,
    New York, NY, USA, 2020, pp. 1277–1285.'
date_created: 2023-11-14T15:58:53Z
date_updated: 2023-12-13T10:43:41Z
department:
- _id: '819'
doi: 10.1145/3377930.3390174
extern: '1'
keyword:
- dynamic optimization
- evolutionary algorithms
- running time analysis
- theory
language:
- iso: eng
page: 1277–1285
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference
publication_identifier:
  isbn:
  - 978-1-4503-7128-5
publication_status: published
publisher: Association for Computing Machinery
series_title: GECCO ’20
status: public
title: More Effective Randomized Search Heuristics for Graph Coloring through Dynamic
  Optimization
type: conference
user_id: '102979'
year: '2020'
...
---
_id: '48851'
abstract:
- lang: eng
  text: Several important optimization problems in the area of vehicle routing can
    be seen as variants of the classical Traveling Salesperson Problem (TSP). In the
    area of evolutionary computation, the Traveling Thief Problem (TTP) has gained
    increasing interest over the last 5 years. In this paper, we investigate the effect
    of weights on such problems, in the sense that the cost of traveling increases
    with respect to the weights of nodes already visited during a tour. This provides
    abstractions of important TSP variants such as the Traveling Thief Problem and
    time dependent TSP variants, and allows to study precisely the increase in difficulty
    caused by weight dependence. We provide a 3.59-approximation for this weight dependent
    version of TSP with metric distances and bounded positive weights. Furthermore,
    we conduct experimental investigations for simple randomized local search with
    classical mutation operators and two variants of the state-of-the-art evolutionary
    algorithm EAX adapted to the weighted TSP. Our results show the impact of the
    node weights on the position of the nodes in the resulting tour.
author:
- first_name: Jakob
  full_name: Bossek, Jakob
  id: '102979'
  last_name: Bossek
  orcid: 0000-0002-4121-4668
- first_name: Katrin
  full_name: Casel, Katrin
  last_name: Casel
- first_name: Pascal
  full_name: Kerschke, Pascal
  last_name: Kerschke
- first_name: Frank
  full_name: Neumann, Frank
  last_name: Neumann
citation:
  ama: 'Bossek J, Casel K, Kerschke P, Neumann F. The Node Weight Dependent Traveling
    Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics.
    In: <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>.
    GECCO ’20. Association for Computing Machinery; 2020:1286–1294. doi:<a href="https://doi.org/10.1145/3377930.3390243">10.1145/3377930.3390243</a>'
  apa: 'Bossek, J., Casel, K., Kerschke, P., &#38; Neumann, F. (2020). The Node Weight
    Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized
    Search Heuristics. <i>Proceedings of the Genetic and Evolutionary Computation
    Conference</i>, 1286–1294. <a href="https://doi.org/10.1145/3377930.3390243">https://doi.org/10.1145/3377930.3390243</a>'
  bibtex: '@inproceedings{Bossek_Casel_Kerschke_Neumann_2020, place={New York, NY,
    USA}, series={GECCO ’20}, title={The Node Weight Dependent Traveling Salesperson
    Problem: Approximation Algorithms and Randomized Search Heuristics}, DOI={<a href="https://doi.org/10.1145/3377930.3390243">10.1145/3377930.3390243</a>},
    booktitle={Proceedings of the Genetic and Evolutionary Computation Conference},
    publisher={Association for Computing Machinery}, author={Bossek, Jakob and Casel,
    Katrin and Kerschke, Pascal and Neumann, Frank}, year={2020}, pages={1286–1294},
    collection={GECCO ’20} }'
  chicago: 'Bossek, Jakob, Katrin Casel, Pascal Kerschke, and Frank Neumann. “The
    Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms
    and Randomized Search Heuristics.” In <i>Proceedings of the Genetic and Evolutionary
    Computation Conference</i>, 1286–1294. GECCO ’20. New York, NY, USA: Association
    for Computing Machinery, 2020. <a href="https://doi.org/10.1145/3377930.3390243">https://doi.org/10.1145/3377930.3390243</a>.'
  ieee: 'J. Bossek, K. Casel, P. Kerschke, and F. Neumann, “The Node Weight Dependent
    Traveling Salesperson Problem: Approximation Algorithms and Randomized Search
    Heuristics,” in <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>,
    2020, pp. 1286–1294, doi: <a href="https://doi.org/10.1145/3377930.3390243">10.1145/3377930.3390243</a>.'
  mla: 'Bossek, Jakob, et al. “The Node Weight Dependent Traveling Salesperson Problem:
    Approximation Algorithms and Randomized Search Heuristics.” <i>Proceedings of
    the Genetic and Evolutionary Computation Conference</i>, Association for Computing
    Machinery, 2020, pp. 1286–1294, doi:<a href="https://doi.org/10.1145/3377930.3390243">10.1145/3377930.3390243</a>.'
  short: 'J. Bossek, K. Casel, P. Kerschke, F. Neumann, in: Proceedings of the Genetic
    and Evolutionary Computation Conference, Association for Computing Machinery,
    New York, NY, USA, 2020, pp. 1286–1294.'
date_created: 2023-11-14T15:58:53Z
date_updated: 2023-12-13T10:43:33Z
department:
- _id: '819'
doi: 10.1145/3377930.3390243
extern: '1'
keyword:
- dynamic optimization
- evolutionary algorithms
- running time analysis
- theory
language:
- iso: eng
page: 1286–1294
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference
publication_identifier:
  isbn:
  - 978-1-4503-7128-5
publication_status: published
publisher: Association for Computing Machinery
series_title: GECCO ’20
status: public
title: 'The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms
  and Randomized Search Heuristics'
type: conference
user_id: '102979'
year: '2020'
...
---
_id: '17156'
abstract:
- lang: eng
  text: Business Process Management is a boundary-spanning discipline that aligns
    operational capabilities and technology to design and manage business processes.
    The Digital Transformation has enabled human actors, information systems, and
    smart products to interact with each other via multiple digital channels. The
    emergence of this hyper-connected world greatly leverages the prospects of business
    processes – but also boosts their complexity to a new level. We need to discuss
    how the BPM discipline can find new ways for identifying, analyzing, designing,
    implementing, executing, and monitoring business processes. In this research note,
    selected transformative trends are explored and their impact on current theories
    and IT artifacts in the BPM discipline is discussed to stimulate transformative
    thinking and prospective research in this field.
article_type: original
author:
- first_name: Daniel
  full_name: Beverungen, Daniel
  id: '59677'
  last_name: Beverungen
- first_name: Joos C. A. M.
  full_name: Buijs, Joos C. A. M.
  last_name: Buijs
- first_name: Jörg
  full_name: Becker, Jörg
  last_name: Becker
- first_name: Claudio
  full_name: Di Ciccio, Claudio
  last_name: Di Ciccio
- first_name: Wil M. P.
  full_name: van der Aalst, Wil M. P.
  last_name: van der Aalst
- first_name: Christian
  full_name: Bartelheimer, Christian
  id: '49160'
  last_name: Bartelheimer
- first_name: Jan
  full_name: vom Brocke, Jan
  last_name: vom Brocke
- first_name: Marco
  full_name: Comuzzi, Marco
  last_name: Comuzzi
- first_name: Karsten
  full_name: Kraume, Karsten
  last_name: Kraume
- first_name: Henrik
  full_name: Leopold, Henrik
  last_name: Leopold
- first_name: Martin
  full_name: Matzner, Martin
  last_name: Matzner
- first_name: Jan
  full_name: Mendling, Jan
  last_name: Mendling
- first_name: Nadine
  full_name: Ogonek, Nadine
  last_name: Ogonek
- first_name: Till
  full_name: Post, Till
  last_name: Post
- first_name: Manuel
  full_name: Resinas, Manuel
  last_name: Resinas
- first_name: Kate
  full_name: Revoredo, Kate
  last_name: Revoredo
- first_name: Adela
  full_name: del-Río-Ortega, Adela
  last_name: del-Río-Ortega
- first_name: Marcello
  full_name: La Rosa, Marcello
  last_name: La Rosa
- first_name: Flávia Maria
  full_name: Santoro, Flávia Maria
  last_name: Santoro
- first_name: Andreas
  full_name: Solti, Andreas
  last_name: Solti
- first_name: Minseok
  full_name: Song, Minseok
  last_name: Song
- first_name: Armin
  full_name: Stein, Armin
  last_name: Stein
- first_name: Matthias
  full_name: Stierle, Matthias
  last_name: Stierle
- first_name: Verena
  full_name: Wolf, Verena
  id: '23633'
  last_name: Wolf
citation:
  ama: Beverungen D, Buijs JCAM, Becker J, et al. Seven Paradoxes of Business Process
    Management in a Hyper-Connected World. <i>Business &#38; Information Systems Engineering</i>.
    2020;63:145-156. doi:<a href="https://doi.org/10.1007/s12599-020-00646-z">10.1007/s12599-020-00646-z</a>
  apa: Beverungen, D., Buijs, J. C. A. M., Becker, J., Di Ciccio, C., van der Aalst,
    W. M. P., Bartelheimer, C., vom Brocke, J., Comuzzi, M., Kraume, K., Leopold,
    H., Matzner, M., Mendling, J., Ogonek, N., Post, T., Resinas, M., Revoredo, K.,
    del-Río-Ortega, A., La Rosa, M., Santoro, F. M., … Wolf, V. (2020). Seven Paradoxes
    of Business Process Management in a Hyper-Connected World. <i>Business &#38; Information
    Systems Engineering</i>, <i>63</i>, 145–156. <a href="https://doi.org/10.1007/s12599-020-00646-z">https://doi.org/10.1007/s12599-020-00646-z</a>
  bibtex: '@article{Beverungen_Buijs_Becker_Di Ciccio_van der Aalst_Bartelheimer_vom
    Brocke_Comuzzi_Kraume_Leopold_et al._2020, title={Seven Paradoxes of Business
    Process Management in a Hyper-Connected World}, volume={63}, DOI={<a href="https://doi.org/10.1007/s12599-020-00646-z">10.1007/s12599-020-00646-z</a>},
    journal={Business &#38; Information Systems Engineering}, publisher={SpringerNature},
    author={Beverungen, Daniel and Buijs, Joos C. A. M. and Becker, Jörg and Di Ciccio,
    Claudio and van der Aalst, Wil M. P. and Bartelheimer, Christian and vom Brocke,
    Jan and Comuzzi, Marco and Kraume, Karsten and Leopold, Henrik and et al.}, year={2020},
    pages={145–156} }'
  chicago: 'Beverungen, Daniel, Joos C. A. M. Buijs, Jörg Becker, Claudio Di Ciccio,
    Wil M. P. van der Aalst, Christian Bartelheimer, Jan vom Brocke, et al. “Seven
    Paradoxes of Business Process Management in a Hyper-Connected World.” <i>Business
    &#38; Information Systems Engineering</i> 63 (2020): 145–56. <a href="https://doi.org/10.1007/s12599-020-00646-z">https://doi.org/10.1007/s12599-020-00646-z</a>.'
  ieee: 'D. Beverungen <i>et al.</i>, “Seven Paradoxes of Business Process Management
    in a Hyper-Connected World,” <i>Business &#38; Information Systems Engineering</i>,
    vol. 63, pp. 145–156, 2020, doi: <a href="https://doi.org/10.1007/s12599-020-00646-z">10.1007/s12599-020-00646-z</a>.'
  mla: Beverungen, Daniel, et al. “Seven Paradoxes of Business Process Management
    in a Hyper-Connected World.” <i>Business &#38; Information Systems Engineering</i>,
    vol. 63, SpringerNature, 2020, pp. 145–56, doi:<a href="https://doi.org/10.1007/s12599-020-00646-z">10.1007/s12599-020-00646-z</a>.
  short: D. Beverungen, J.C.A.M. Buijs, J. Becker, C. Di Ciccio, W.M.P. van der Aalst,
    C. Bartelheimer, J. vom Brocke, M. Comuzzi, K. Kraume, H. Leopold, M. Matzner,
    J. Mendling, N. Ogonek, T. Post, M. Resinas, K. Revoredo, A. del-Río-Ortega, M.
    La Rosa, F.M. Santoro, A. Solti, M. Song, A. Stein, M. Stierle, V. Wolf, Business
    &#38; Information Systems Engineering 63 (2020) 145–156.
date_created: 2020-06-24T10:40:45Z
date_updated: 2024-04-18T12:50:57Z
ddc:
- '380'
department:
- _id: '526'
doi: 10.1007/s12599-020-00646-z
file:
- access_level: closed
  content_type: application/pdf
  creator: dabe
  date_created: 2024-04-18T12:49:25Z
  date_updated: 2024-04-18T12:49:25Z
  file_id: '53574'
  file_name: Business_Process_Management_in_a_Hyperconnected_World.pdf
  file_size: 360869
  relation: main_file
  success: 1
file_date_updated: 2024-04-18T12:49:25Z
has_accepted_license: '1'
intvolume: '        63'
keyword:
- Business process management (BPM)
- Social computing
- Smart devices
- Big data analytics
- Real-time computing
- BPM life-cycle
language:
- iso: eng
page: 145-156
project:
- _id: '1070'
  call_identifier: MSCA-RISE-2014
  grant_number: '645751'
  name: 'RISE_BPM: Propelling Business Process Management by Research and Innovation
    Staff Exchange'
publication: Business & Information Systems Engineering
publication_identifier:
  issn:
  - 2363-7005
  - 1867-0202
publication_status: published
publisher: SpringerNature
quality_controlled: '1'
status: public
title: Seven Paradoxes of Business Process Management in a Hyper-Connected World
type: journal_article
user_id: '59677'
volume: 63
year: '2020'
...
---
_id: '17810'
abstract:
- lang: eng
  text: In all fields, the significance of a reliable and accurate predictive model
    is almost unquantifiable. With deep domain knowledge, models derived from first
    principles typically outperforms other models in terms of reliability and accuracy.
    When it may become a cumbersome or an unachievable task to build or validate such
    models of complex (non-linear) systems, machine learning techniques are employed
    to build predictive models. However, the accuracy of such techniques is not only
    dependent on the hyper-parameters of the chosen algorithm, but also on the amount
    and quality of data. This paper investigates the application of classical time
    series forecasting approaches for the reliable prognostics of technical systems,
    where black box machine learning techniques might not successfully be employed
    given insufficient amount of data and where first principles models are infeasible
    due to lack of domain specific data. Forecasting by analogy, forecasting by analytical
    function fitting, an exponential smoothing forecasting method and the long short-term
    memory (LSTM) are evaluated and compared against the ground truth data. As a case
    study, the methods are applied to predict future crack lengths of riveted aluminium
    plates under cyclic loading. The performance of the predictive models is evaluated
    based on error metrics leading to a proposal of when to apply which forecasting
    approach.
author:
- first_name: Osarenren Kennedy
  full_name: Aimiyekagbon, Osarenren Kennedy
  id: '9557'
  last_name: Aimiyekagbon
- first_name: Amelie
  full_name: Bender, Amelie
  id: '54290'
  last_name: Bender
- first_name: Walter
  full_name: Sextro, Walter
  id: '21220'
  last_name: Sextro
citation:
  ama: 'Aimiyekagbon OK, Bender A, Sextro W. Evaluation of time series forecasting
    approaches for the reliable crack length prediction of riveted aluminium plates
    given insufficient data. In: <i>PHM Society European Conference</i>. Vol 5. ;
    2020.'
  apa: Aimiyekagbon, O. K., Bender, A., &#38; Sextro, W. (2020). Evaluation of time
    series forecasting approaches for the reliable crack length prediction of riveted
    aluminium plates given insufficient data. <i>PHM Society European Conference</i>,
    <i>5</i>(1).
  bibtex: '@inproceedings{Aimiyekagbon_Bender_Sextro_2020, title={Evaluation of time
    series forecasting approaches for the reliable crack length prediction of riveted
    aluminium plates given insufficient data}, volume={5}, number={1}, booktitle={PHM
    Society European Conference}, author={Aimiyekagbon, Osarenren Kennedy and Bender,
    Amelie and Sextro, Walter}, year={2020} }'
  chicago: Aimiyekagbon, Osarenren Kennedy, Amelie Bender, and Walter Sextro. “Evaluation
    of Time Series Forecasting Approaches for the Reliable Crack Length Prediction
    of Riveted Aluminium Plates given Insufficient Data.” In <i>PHM Society European
    Conference</i>, Vol. 5, 2020.
  ieee: O. K. Aimiyekagbon, A. Bender, and W. Sextro, “Evaluation of time series forecasting
    approaches for the reliable crack length prediction of riveted aluminium plates
    given insufficient data,” in <i>PHM Society European Conference</i>, 2020, vol.
    5, no. 1.
  mla: Aimiyekagbon, Osarenren Kennedy, et al. “Evaluation of Time Series Forecasting
    Approaches for the Reliable Crack Length Prediction of Riveted Aluminium Plates
    given Insufficient Data.” <i>PHM Society European Conference</i>, vol. 5, no.
    1, 2020.
  short: 'O.K. Aimiyekagbon, A. Bender, W. Sextro, in: PHM Society European Conference,
    2020.'
date_created: 2020-08-11T13:32:40Z
date_updated: 2023-09-22T09:13:16Z
department:
- _id: '151'
intvolume: '         5'
issue: '1'
keyword:
- PHM 2019
- crack propagation
- forecasting
- unevenly spaced time series
- step ahead prediction
- short time series
language:
- iso: eng
publication: PHM Society European Conference
quality_controlled: '1'
status: public
title: Evaluation of time series forecasting approaches for the reliable crack length
  prediction of riveted aluminium plates given insufficient data
type: conference
user_id: '9557'
volume: 5
year: '2020'
...
---
_id: '15488'
abstract:
- lang: eng
  text: The continuous refinement of sensor technologies enables the manufacturing
    industry to capture increasing amounts of data during the production process.
    As processes take time to complete, sensors register large amounts of time-series-like
    data for each product. In order to make this data usable, a feature extraction
    is mandatory. In this work, we discuss and evaluate different network architectures,
    input pre-processing and cost functions regarding, among other aspects, their
    suitability for time series of different lengths.
author:
- first_name: Christian
  full_name: Thiel, Christian
  last_name: Thiel
- first_name: Carolin
  full_name: Steidl, Carolin
  last_name: Steidl
- first_name: Bernd
  full_name: Henning, Bernd
  id: '213'
  last_name: Henning
citation:
  ama: 'Thiel C, Steidl C, Henning B. P2.9 Comparison of deep feature extraction techniques
    for varying-length time series from an industrial piercing press. In: AMA Service
    GmbH, ed. <i>20. GMA/ITG-Fachtagung. Sensoren Und Messsysteme 2019</i>. Von-Münchhausen-Str.
    49, 31515 Wunstorf; 2019. doi:<a href="https://doi.org/10.5162/SENSOREN2019/P2.9">10.5162/SENSOREN2019/P2.9</a>'
  apa: Thiel, C., Steidl, C., &#38; Henning, B. (2019). P2.9 Comparison of deep feature
    extraction techniques for varying-length time series from an industrial piercing
    press. In AMA Service GmbH (Ed.), <i>20. GMA/ITG-Fachtagung. Sensoren und Messsysteme
    2019</i>. Von-Münchhausen-Str. 49, 31515 Wunstorf. <a href="https://doi.org/10.5162/SENSOREN2019/P2.9">https://doi.org/10.5162/SENSOREN2019/P2.9</a>
  bibtex: '@inproceedings{Thiel_Steidl_Henning_2019, place={Von-Münchhausen-Str. 49,
    31515 Wunstorf}, title={P2.9 Comparison of deep feature extraction techniques
    for varying-length time series from an industrial piercing press}, DOI={<a href="https://doi.org/10.5162/SENSOREN2019/P2.9">10.5162/SENSOREN2019/P2.9</a>},
    booktitle={20. GMA/ITG-Fachtagung. Sensoren und Messsysteme 2019}, author={Thiel,
    Christian and Steidl, Carolin and Henning, Bernd}, editor={AMA Service GmbHEditor},
    year={2019} }'
  chicago: Thiel, Christian, Carolin Steidl, and Bernd Henning. “P2.9 Comparison of
    Deep Feature Extraction Techniques for Varying-Length Time Series from an Industrial
    Piercing Press.” In <i>20. GMA/ITG-Fachtagung. Sensoren Und Messsysteme 2019</i>,
    edited by AMA Service GmbH. Von-Münchhausen-Str. 49, 31515 Wunstorf, 2019. <a
    href="https://doi.org/10.5162/SENSOREN2019/P2.9">https://doi.org/10.5162/SENSOREN2019/P2.9</a>.
  ieee: C. Thiel, C. Steidl, and B. Henning, “P2.9 Comparison of deep feature extraction
    techniques for varying-length time series from an industrial piercing press,”
    in <i>20. GMA/ITG-Fachtagung. Sensoren und Messsysteme 2019</i>, 2019.
  mla: Thiel, Christian, et al. “P2.9 Comparison of Deep Feature Extraction Techniques
    for Varying-Length Time Series from an Industrial Piercing Press.” <i>20. GMA/ITG-Fachtagung.
    Sensoren Und Messsysteme 2019</i>, edited by AMA Service GmbH, 2019, doi:<a href="https://doi.org/10.5162/SENSOREN2019/P2.9">10.5162/SENSOREN2019/P2.9</a>.
  short: 'C. Thiel, C. Steidl, B. Henning, in: AMA Service GmbH (Ed.), 20. GMA/ITG-Fachtagung.
    Sensoren Und Messsysteme 2019, Von-Münchhausen-Str. 49, 31515 Wunstorf, 2019.'
corporate_editor:
- AMA Service GmbH
date_created: 2020-01-10T16:03:58Z
date_updated: 2022-01-06T06:52:27Z
department:
- _id: '49'
doi: 10.5162/SENSOREN2019/P2.9
keyword:
- Dynamic Time Warping
- Feature Extraction
- Masking
- Neural Networks
language:
- iso: eng
place: Von-Münchhausen-Str. 49, 31515 Wunstorf
publication: 20. GMA/ITG-Fachtagung. Sensoren und Messsysteme 2019
publication_identifier:
  isbn:
  - 978-3-9819376-0-2
status: public
title: P2.9 Comparison of deep feature extraction techniques for varying-length time
  series from an industrial piercing press
type: conference
user_id: '11829'
year: '2019'
...
---
_id: '48843'
abstract:
- lang: eng
  text: We contribute to the theoretical understanding of randomized search heuristics
    for dynamic problems. We consider the classical graph coloring problem and investigate
    the dynamic setting where edges are added to the current graph. We then analyze
    the expected time for randomized search heuristics to recompute high quality solutions.
    This includes the (1+1) EA and RLS in a setting where the number of colors is
    bounded and we are minimizing the number of conflicts as well as iterated local
    search algorithms that use an unbounded color palette and aim to use the smallest
    colors and - as a consequence - the smallest number of colors. We identify classes
    of bipartite graphs where reoptimization is as hard as or even harder than optimization
    from scratch, i. e. starting with a random initialization. Even adding a single
    edge can lead to hard symmetry problems. However, graph classes that are hard
    for one algorithm turn out to be easy for others. In most cases our bounds show
    that reoptimization is faster than optimizing from scratch. Furthermore, we show
    how to speed up computations by using problem specific operators concentrating
    on parts of the graph where changes have occurred.
author:
- first_name: Jakob
  full_name: Bossek, Jakob
  id: '102979'
  last_name: Bossek
  orcid: 0000-0002-4121-4668
- first_name: Frank
  full_name: Neumann, Frank
  last_name: Neumann
- first_name: Pan
  full_name: Peng, Pan
  last_name: Peng
- first_name: Dirk
  full_name: Sudholt, Dirk
  last_name: Sudholt
citation:
  ama: 'Bossek J, Neumann F, Peng P, Sudholt D. Runtime Analysis of Randomized Search
    Heuristics for Dynamic Graph Coloring. In: <i>Proceedings of the Genetic and Evolutionary
    Computation Conference</i>. GECCO ’19. Association for Computing Machinery; 2019:1443–1451.
    doi:<a href="https://doi.org/10.1145/3321707.3321792">10.1145/3321707.3321792</a>'
  apa: Bossek, J., Neumann, F., Peng, P., &#38; Sudholt, D. (2019). Runtime Analysis
    of Randomized Search Heuristics for Dynamic Graph Coloring. <i>Proceedings of
    the Genetic and Evolutionary Computation Conference</i>, 1443–1451. <a href="https://doi.org/10.1145/3321707.3321792">https://doi.org/10.1145/3321707.3321792</a>
  bibtex: '@inproceedings{Bossek_Neumann_Peng_Sudholt_2019, place={New York, NY, USA},
    series={GECCO ’19}, title={Runtime Analysis of Randomized Search Heuristics for
    Dynamic Graph Coloring}, DOI={<a href="https://doi.org/10.1145/3321707.3321792">10.1145/3321707.3321792</a>},
    booktitle={Proceedings of the Genetic and Evolutionary Computation Conference},
    publisher={Association for Computing Machinery}, author={Bossek, Jakob and Neumann,
    Frank and Peng, Pan and Sudholt, Dirk}, year={2019}, pages={1443–1451}, collection={GECCO
    ’19} }'
  chicago: 'Bossek, Jakob, Frank Neumann, Pan Peng, and Dirk Sudholt. “Runtime Analysis
    of Randomized Search Heuristics for Dynamic Graph Coloring.” In <i>Proceedings
    of the Genetic and Evolutionary Computation Conference</i>, 1443–1451. GECCO ’19.
    New York, NY, USA: Association for Computing Machinery, 2019. <a href="https://doi.org/10.1145/3321707.3321792">https://doi.org/10.1145/3321707.3321792</a>.'
  ieee: 'J. Bossek, F. Neumann, P. Peng, and D. Sudholt, “Runtime Analysis of Randomized
    Search Heuristics for Dynamic Graph Coloring,” in <i>Proceedings of the Genetic
    and Evolutionary Computation Conference</i>, 2019, pp. 1443–1451, doi: <a href="https://doi.org/10.1145/3321707.3321792">10.1145/3321707.3321792</a>.'
  mla: Bossek, Jakob, et al. “Runtime Analysis of Randomized Search Heuristics for
    Dynamic Graph Coloring.” <i>Proceedings of the Genetic and Evolutionary Computation
    Conference</i>, Association for Computing Machinery, 2019, pp. 1443–1451, doi:<a
    href="https://doi.org/10.1145/3321707.3321792">10.1145/3321707.3321792</a>.
  short: 'J. Bossek, F. Neumann, P. Peng, D. Sudholt, in: Proceedings of the Genetic
    and Evolutionary Computation Conference, Association for Computing Machinery,
    New York, NY, USA, 2019, pp. 1443–1451.'
date_created: 2023-11-14T15:58:52Z
date_updated: 2023-12-13T10:42:37Z
department:
- _id: '819'
doi: 10.1145/3321707.3321792
extern: '1'
keyword:
- dynamic optimization
- evolutionary algorithms
- running time analysis
- theory
language:
- iso: eng
page: 1443–1451
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference
publication_identifier:
  isbn:
  - 978-1-4503-6111-8
publication_status: published
publisher: Association for Computing Machinery
series_title: GECCO ’19
status: public
title: Runtime Analysis of Randomized Search Heuristics for Dynamic Graph Coloring
type: conference
user_id: '102979'
year: '2019'
...
---
_id: '46544'
author:
- first_name: Christian
  full_name: Bünnings, Christian
  last_name: Bünnings
- first_name: Valentin
  full_name: Schiele, Valentin
  id: '53779'
  last_name: Schiele
citation:
  ama: 'Bünnings C, Schiele V. <i>Spring Forward, Don’t Fall Back: The Effect of Daylight
    Saving Time on Road Safety</i>. Vol 768. RWI - Leibniz-Institut für Wirtschaftsforschung,
    Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen;
    2018.'
  apa: 'Bünnings, C., &#38; Schiele, V. (2018). <i>Spring forward, don’t fall back:
    The effect of daylight saving time on road safety</i> (Vol. 768). RWI - Leibniz-Institut
    für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University
    of Duisburg-Essen.'
  bibtex: '@book{Bünnings_Schiele_2018, series={ Ruhr Economic Papers}, title={Spring
    forward, don’t fall back: The effect of daylight saving time on road safety},
    volume={768}, publisher={RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University
    Bochum, TU Dortmund University, University of Duisburg-Essen}, author={Bünnings,
    Christian and Schiele, Valentin}, year={2018}, collection={ Ruhr Economic Papers}
    }'
  chicago: 'Bünnings, Christian, and Valentin Schiele. <i>Spring Forward, Don’t Fall
    Back: The Effect of Daylight Saving Time on Road Safety</i>. Vol. 768.  Ruhr Economic
    Papers. RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum,
    TU Dortmund University, University of Duisburg-Essen, 2018.'
  ieee: 'C. Bünnings and V. Schiele, <i>Spring forward, don’t fall back: The effect
    of daylight saving time on road safety</i>, vol. 768. RWI - Leibniz-Institut für
    Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University
    of Duisburg-Essen, 2018.'
  mla: 'Bünnings, Christian, and Valentin Schiele. <i>Spring Forward, Don’t Fall Back:
    The Effect of Daylight Saving Time on Road Safety</i>. RWI - Leibniz-Institut
    für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University
    of Duisburg-Essen, 2018.'
  short: 'C. Bünnings, V. Schiele, Spring Forward, Don’t Fall Back: The Effect of
    Daylight Saving Time on Road Safety, RWI - Leibniz-Institut für Wirtschaftsforschung,
    Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen,
    2018.'
date_created: 2023-08-16T10:52:26Z
date_updated: 2023-08-20T17:58:18Z
department:
- _id: '281'
intvolume: '       768'
keyword:
- road accidents
- light conditions
- daylight saving time
language:
- iso: eng
publisher: RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum,
  TU Dortmund University, University of Duisburg-Essen
series_title: ' Ruhr Economic Papers'
status: public
title: 'Spring forward, don’t fall back: The effect of daylight saving time on road
  safety'
type: working_paper
user_id: '53779'
volume: 768
year: '2018'
...
---
_id: '1156'
abstract:
- lang: eng
  text: In this paper, we present an IoT architecture which handles stream sensor
    data of air pollution. Particle pollution is known as a serious threat to human
    health. Along with developments in the use of wireless sensors and the IoT, we
    propose an architecture that flexibly measures and processes stream data collected
    in real-time by movable and low-cost IoT sensors. Thus, it enables a wide-spread
    network of wireless sensors that can follow changes in human behavior. Apart from
    stating reasons for the need of such a development and its requirements, we provide
    a conceptual design as well as a technological design of such an architecture.
    The technological design consists of Kaa and Apache Storm which can collect air
    pollution information in real-time and solve various problems to process data
    such as missing data and synchronization. This enables us to add a simulation
    in which we provide issues that might come up when having our architecture in
    use. Together with these issues, we state r easons for choosing specific modules
    among candidates. Our architecture combines wireless sensors with the Kaa IoT
    framework, an Apache Kafka pipeline and an Apache Storm Data Stream Management
    System among others. We even provide open-government data sets that are freely
    available.
author:
- first_name: Joschka
  full_name: Kersting, Joschka
  id: '58701'
  last_name: Kersting
- first_name: Michaela
  full_name: Geierhos, Michaela
  id: '42496'
  last_name: Geierhos
  orcid: 0000-0002-8180-5606
- first_name: Hanmin
  full_name: Jung, Hanmin
  last_name: Jung
- first_name: Taehong
  full_name: Kim, Taehong
  last_name: Kim
citation:
  ama: 'Kersting J, Geierhos M, Jung H, Kim T. Internet of Things Architecture for
    Handling Stream Air Pollution Data. In: Ramachandran M, Méndez Muñoz V, Kantere
    V, Wills G, Walters R, Chang V, eds. <i>Proceedings of the 2nd International Conference
    on Internet of Things, Big Data and Security</i>. Setúbal, Portugal: SCITEPRESS;
    2017:117-124. doi:<a href="https://doi.org/10.5220/0006354801170124">10.5220/0006354801170124</a>'
  apa: 'Kersting, J., Geierhos, M., Jung, H., &#38; Kim, T. (2017). Internet of Things
    Architecture for Handling Stream Air Pollution Data. In M. Ramachandran, V. Méndez
    Muñoz, V. Kantere, G. Wills, R. Walters, &#38; V. Chang (Eds.), <i>Proceedings
    of the 2nd International Conference on Internet of Things, Big Data and Security</i>
    (pp. 117–124). Setúbal, Portugal: SCITEPRESS. <a href="https://doi.org/10.5220/0006354801170124">https://doi.org/10.5220/0006354801170124</a>'
  bibtex: '@inproceedings{Kersting_Geierhos_Jung_Kim_2017, place={Setúbal, Portugal},
    title={Internet of Things Architecture for Handling Stream Air Pollution Data},
    DOI={<a href="https://doi.org/10.5220/0006354801170124">10.5220/0006354801170124</a>},
    booktitle={Proceedings of the 2nd International Conference on Internet of Things,
    Big Data and Security}, publisher={SCITEPRESS}, author={Kersting, Joschka and
    Geierhos, Michaela and Jung, Hanmin and Kim, Taehong}, editor={Ramachandran, Muthu
    and Méndez Muñoz, Víctor and Kantere, Verena and Wills, Gary and Walters, Robert
    and Chang, VictorEditors}, year={2017}, pages={117–124} }'
  chicago: 'Kersting, Joschka, Michaela Geierhos, Hanmin Jung, and Taehong Kim. “Internet
    of Things Architecture for Handling Stream Air Pollution Data.” In <i>Proceedings
    of the 2nd International Conference on Internet of Things, Big Data and Security</i>,
    edited by Muthu Ramachandran, Víctor Méndez Muñoz, Verena Kantere, Gary Wills,
    Robert Walters, and Victor Chang, 117–24. Setúbal, Portugal: SCITEPRESS, 2017.
    <a href="https://doi.org/10.5220/0006354801170124">https://doi.org/10.5220/0006354801170124</a>.'
  ieee: J. Kersting, M. Geierhos, H. Jung, and T. Kim, “Internet of Things Architecture
    for Handling Stream Air Pollution Data,” in <i>Proceedings of the 2nd International
    Conference on Internet of Things, Big Data and Security</i>, Porto, Portugal,
    2017, pp. 117–124.
  mla: Kersting, Joschka, et al. “Internet of Things Architecture for Handling Stream
    Air Pollution Data.” <i>Proceedings of the 2nd International Conference on Internet
    of Things, Big Data and Security</i>, edited by Muthu Ramachandran et al., SCITEPRESS,
    2017, pp. 117–24, doi:<a href="https://doi.org/10.5220/0006354801170124">10.5220/0006354801170124</a>.
  short: 'J. Kersting, M. Geierhos, H. Jung, T. Kim, in: M. Ramachandran, V. Méndez
    Muñoz, V. Kantere, G. Wills, R. Walters, V. Chang (Eds.), Proceedings of the 2nd
    International Conference on Internet of Things, Big Data and Security, SCITEPRESS,
    Setúbal, Portugal, 2017, pp. 117–124.'
conference:
  end_date: 2017-04-26
  location: Porto, Portugal
  name: 2nd International Conference on Internet of Things, Big Data and Security
    (IoTBDS 2017)
  start_date: 2017-04-24
date_created: 2018-01-31T14:45:21Z
date_updated: 2022-01-06T06:51:03Z
ddc:
- '000'
department:
- _id: '36'
- _id: '1'
- _id: '579'
doi: 10.5220/0006354801170124
editor:
- first_name: Muthu
  full_name: Ramachandran, Muthu
  last_name: Ramachandran
- first_name: Víctor
  full_name: Méndez Muñoz, Víctor
  last_name: Méndez Muñoz
- first_name: Verena
  full_name: Kantere, Verena
  last_name: Kantere
- first_name: Gary
  full_name: Wills, Gary
  last_name: Wills
- first_name: Robert
  full_name: Walters, Robert
  last_name: Walters
- first_name: Victor
  full_name: Chang, Victor
  last_name: Chang
file:
- access_level: closed
  content_type: application/pdf
  creator: jkers
  date_created: 2020-09-18T09:09:27Z
  date_updated: 2020-09-18T09:09:27Z
  file_id: '19567'
  file_name: IoTBDS_2017_50_final.pdf
  file_size: 2612566
  relation: main_file
  success: 1
file_date_updated: 2020-09-18T09:09:27Z
has_accepted_license: '1'
keyword:
- Wireless Sensor Network
- Internet of Things
- Stream Data
- Air Pollution
- DSMS
- Real-time Data Processing
language:
- iso: eng
page: 117-124
place: Setúbal, Portugal
publication: Proceedings of the 2nd International Conference on Internet of Things,
  Big Data and Security
publication_identifier:
  isbn:
  - 978-989-758-245-5
publication_status: published
publisher: SCITEPRESS
quality_controlled: '1'
status: public
title: Internet of Things Architecture for Handling Stream Air Pollution Data
type: conference
user_id: '58701'
year: '2017'
...
---
_id: '20559'
author:
- first_name: Lisa Nguyen Quang
  full_name: Do, Lisa Nguyen Quang
  last_name: Do
- first_name: Karim
  full_name: Ali, Karim
  last_name: Ali
- first_name: Benjamin
  full_name: Livshits, Benjamin
  last_name: Livshits
- first_name: Eric
  full_name: Bodden, Eric
  id: '59256'
  last_name: Bodden
  orcid: 0000-0003-3470-3647
- first_name: Justin
  full_name: Smith, Justin
  last_name: Smith
- first_name: Emerson
  full_name: Murphy-Hill, Emerson
  last_name: Murphy-Hill
citation:
  ama: 'Do LNQ, Ali K, Livshits B, Bodden E, Smith J, Murphy-Hill E. Just-in-time
    Static Analysis. In: <i>Proceedings of the 26th ACM SIGSOFT International Symposium
    on Software Testing and Analysis</i>. ISSTA 2017. ACM; 2017:307-317. doi:<a href="https://doi.org/10.1145/3092703.3092705">10.1145/3092703.3092705</a>'
  apa: Do, L. N. Q., Ali, K., Livshits, B., Bodden, E., Smith, J., &#38; Murphy-Hill,
    E. (2017). Just-in-time Static Analysis. <i>Proceedings of the 26th ACM SIGSOFT
    International Symposium on Software Testing and Analysis</i>, 307–317. <a href="https://doi.org/10.1145/3092703.3092705">https://doi.org/10.1145/3092703.3092705</a>
  bibtex: '@inproceedings{Do_Ali_Livshits_Bodden_Smith_Murphy-Hill_2017, place={New
    York, NY, USA}, series={ISSTA 2017}, title={Just-in-time Static Analysis}, DOI={<a
    href="https://doi.org/10.1145/3092703.3092705">10.1145/3092703.3092705</a>}, booktitle={Proceedings
    of the 26th ACM SIGSOFT International Symposium on Software Testing and Analysis},
    publisher={ACM}, author={Do, Lisa Nguyen Quang and Ali, Karim and Livshits, Benjamin
    and Bodden, Eric and Smith, Justin and Murphy-Hill, Emerson}, year={2017}, pages={307–317},
    collection={ISSTA 2017} }'
  chicago: 'Do, Lisa Nguyen Quang, Karim Ali, Benjamin Livshits, Eric Bodden, Justin
    Smith, and Emerson Murphy-Hill. “Just-in-Time Static Analysis.” In <i>Proceedings
    of the 26th ACM SIGSOFT International Symposium on Software Testing and Analysis</i>,
    307–17. ISSTA 2017. New York, NY, USA: ACM, 2017. <a href="https://doi.org/10.1145/3092703.3092705">https://doi.org/10.1145/3092703.3092705</a>.'
  ieee: 'L. N. Q. Do, K. Ali, B. Livshits, E. Bodden, J. Smith, and E. Murphy-Hill,
    “Just-in-time Static Analysis,” in <i>Proceedings of the 26th ACM SIGSOFT International
    Symposium on Software Testing and Analysis</i>, 2017, pp. 307–317, doi: <a href="https://doi.org/10.1145/3092703.3092705">10.1145/3092703.3092705</a>.'
  mla: Do, Lisa Nguyen Quang, et al. “Just-in-Time Static Analysis.” <i>Proceedings
    of the 26th ACM SIGSOFT International Symposium on Software Testing and Analysis</i>,
    ACM, 2017, pp. 307–17, doi:<a href="https://doi.org/10.1145/3092703.3092705">10.1145/3092703.3092705</a>.
  short: 'L.N.Q. Do, K. Ali, B. Livshits, E. Bodden, J. Smith, E. Murphy-Hill, in:
    Proceedings of the 26th ACM SIGSOFT International Symposium on Software Testing
    and Analysis, ACM, New York, NY, USA, 2017, pp. 307–317.'
date_created: 2020-11-30T11:10:01Z
date_updated: 2022-01-06T06:54:30Z
department:
- _id: '76'
doi: 10.1145/3092703.3092705
keyword:
- Just-in-Time
- Layered analysis
- Static analysis
language:
- iso: eng
main_file_link:
- url: http://bodden.de/pubs/nal+17jit.pdf
page: 307-317
place: New York, NY, USA
publication: Proceedings of the 26th ACM SIGSOFT International Symposium on Software
  Testing and Analysis
publication_identifier:
  isbn:
  - 978-1-4503-5076-1
publisher: ACM
series_title: ISSTA 2017
status: public
title: Just-in-time Static Analysis
type: conference
user_id: '5786'
year: '2017'
...
---
_id: '10676'
author:
- first_name: Nam
  full_name: Ho, Nam
  last_name: Ho
- first_name: Paul
  full_name: Kaufmann, Paul
  last_name: Kaufmann
- first_name: Marco
  full_name: Platzner, Marco
  id: '398'
  last_name: Platzner
citation:
  ama: 'Ho N, Kaufmann P, Platzner M. Evolvable caches: Optimization of reconfigurable
    cache mappings for a LEON3/Linux-based multi-core processor. In: <i>2017 International
    Conference on Field Programmable Technology (ICFPT)</i>. ; 2017:215-218. doi:<a
    href="https://doi.org/10.1109/FPT.2017.8280144">10.1109/FPT.2017.8280144</a>'
  apa: 'Ho, N., Kaufmann, P., &#38; Platzner, M. (2017). Evolvable caches: Optimization
    of reconfigurable cache mappings for a LEON3/Linux-based multi-core processor.
    In <i>2017 International Conference on Field Programmable Technology (ICFPT)</i>
    (pp. 215–218). <a href="https://doi.org/10.1109/FPT.2017.8280144">https://doi.org/10.1109/FPT.2017.8280144</a>'
  bibtex: '@inproceedings{Ho_Kaufmann_Platzner_2017, title={Evolvable caches: Optimization
    of reconfigurable cache mappings for a LEON3/Linux-based multi-core processor},
    DOI={<a href="https://doi.org/10.1109/FPT.2017.8280144">10.1109/FPT.2017.8280144</a>},
    booktitle={2017 International Conference on Field Programmable Technology (ICFPT)},
    author={Ho, Nam and Kaufmann, Paul and Platzner, Marco}, year={2017}, pages={215–218}
    }'
  chicago: 'Ho, Nam, Paul Kaufmann, and Marco Platzner. “Evolvable Caches: Optimization
    of Reconfigurable Cache Mappings for a LEON3/Linux-Based Multi-Core Processor.”
    In <i>2017 International Conference on Field Programmable Technology (ICFPT)</i>,
    215–18, 2017. <a href="https://doi.org/10.1109/FPT.2017.8280144">https://doi.org/10.1109/FPT.2017.8280144</a>.'
  ieee: 'N. Ho, P. Kaufmann, and M. Platzner, “Evolvable caches: Optimization of reconfigurable
    cache mappings for a LEON3/Linux-based multi-core processor,” in <i>2017 International
    Conference on Field Programmable Technology (ICFPT)</i>, 2017, pp. 215–218.'
  mla: 'Ho, Nam, et al. “Evolvable Caches: Optimization of Reconfigurable Cache Mappings
    for a LEON3/Linux-Based Multi-Core Processor.” <i>2017 International Conference
    on Field Programmable Technology (ICFPT)</i>, 2017, pp. 215–18, doi:<a href="https://doi.org/10.1109/FPT.2017.8280144">10.1109/FPT.2017.8280144</a>.'
  short: 'N. Ho, P. Kaufmann, M. Platzner, in: 2017 International Conference on Field
    Programmable Technology (ICFPT), 2017, pp. 215–218.'
date_created: 2019-07-10T11:22:59Z
date_updated: 2022-01-06T06:50:49Z
department:
- _id: '78'
doi: 10.1109/FPT.2017.8280144
keyword:
- Linux
- cache storage
- microprocessor chips
- multiprocessing systems
- LEON3-Linux based multicore processor
- MiBench suite
- block sizes
- cache adaptation
- evolvable caches
- memory-to-cache-index mapping function
- processor caches
- reconfigurable cache mapping optimization
- reconfigurable hardware technology
- replacement strategies
- standard Linux OS
- time a complete hardware implementation
- Hardware
- Indexes
- Linux
- Measurement
- Multicore processing
- Optimization
- Training
language:
- iso: eng
page: 215-218
publication: 2017 International Conference on Field Programmable Technology (ICFPT)
status: public
title: 'Evolvable caches: Optimization of reconfigurable cache mappings for a LEON3/Linux-based
  multi-core processor'
type: conference
user_id: '398'
year: '2017'
...
---
_id: '4244'
abstract:
- lang: eng
  text: In this work we study the resonant and coherent properties of single InP-based
    InAs quantum dots, which show an optical emission in the telecom C-band and L-band.
    High-resolution resonant photocurrent spectroscopy on p–i–n devices reveals narrow
    linewidths and fully resolved fine structure splittings. We observe Lorentzian
    line shapes, which allow for the extraction of dephasing times as a function of
    the applied bias voltage. Coherent ps laser excitation results in pronounced Rabi
    rotations with increasing pulse area. For π-pulse excitation, we obtain more than
    93 % of the theoretically expected photocurrent amplitude. Our results also demonstrate
    that such state-of-the-art InP-based quantum dots for the telecom band exhibit
    promising key parameters comparable to well-established InAs/GaAs counterparts.
article_type: original
author:
- first_name: S.
  full_name: Gordon, S.
  last_name: Gordon
- first_name: M.
  full_name: Yacob, M.
  last_name: Yacob
- first_name: J. P.
  full_name: Reithmaier, J. P.
  last_name: Reithmaier
- first_name: M.
  full_name: Benyoucef, M.
  last_name: Benyoucef
- first_name: Artur
  full_name: Zrenner, Artur
  id: '606'
  last_name: Zrenner
  orcid: 0000-0002-5190-0944
citation:
  ama: Gordon S, Yacob M, Reithmaier JP, Benyoucef M, Zrenner A. Coherent photocurrent
    spectroscopy of single InP-based quantum dots in the telecom band at 1.5 µm. <i>Applied
    Physics B</i>. 2016;122(2). doi:<a href="https://doi.org/10.1007/s00340-015-6279-6">10.1007/s00340-015-6279-6</a>
  apa: Gordon, S., Yacob, M., Reithmaier, J. P., Benyoucef, M., &#38; Zrenner, A.
    (2016). Coherent photocurrent spectroscopy of single InP-based quantum dots in
    the telecom band at 1.5 µm. <i>Applied Physics B</i>, <i>122</i>(2). <a href="https://doi.org/10.1007/s00340-015-6279-6">https://doi.org/10.1007/s00340-015-6279-6</a>
  bibtex: '@article{Gordon_Yacob_Reithmaier_Benyoucef_Zrenner_2016, title={Coherent
    photocurrent spectroscopy of single InP-based quantum dots in the telecom band
    at 1.5 µm}, volume={122}, DOI={<a href="https://doi.org/10.1007/s00340-015-6279-6">10.1007/s00340-015-6279-6</a>},
    number={2}, journal={Applied Physics B}, publisher={Springer Nature}, author={Gordon,
    S. and Yacob, M. and Reithmaier, J. P. and Benyoucef, M. and Zrenner, Artur},
    year={2016} }'
  chicago: Gordon, S., M. Yacob, J. P. Reithmaier, M. Benyoucef, and Artur Zrenner.
    “Coherent Photocurrent Spectroscopy of Single InP-Based Quantum Dots in the Telecom
    Band at 1.5 Μm.” <i>Applied Physics B</i> 122, no. 2 (2016). <a href="https://doi.org/10.1007/s00340-015-6279-6">https://doi.org/10.1007/s00340-015-6279-6</a>.
  ieee: S. Gordon, M. Yacob, J. P. Reithmaier, M. Benyoucef, and A. Zrenner, “Coherent
    photocurrent spectroscopy of single InP-based quantum dots in the telecom band
    at 1.5 µm,” <i>Applied Physics B</i>, vol. 122, no. 2, 2016.
  mla: Gordon, S., et al. “Coherent Photocurrent Spectroscopy of Single InP-Based
    Quantum Dots in the Telecom Band at 1.5 Μm.” <i>Applied Physics B</i>, vol. 122,
    no. 2, Springer Nature, 2016, doi:<a href="https://doi.org/10.1007/s00340-015-6279-6">10.1007/s00340-015-6279-6</a>.
  short: S. Gordon, M. Yacob, J.P. Reithmaier, M. Benyoucef, A. Zrenner, Applied Physics
    B 122 (2016).
date_created: 2018-08-29T08:30:59Z
date_updated: 2022-01-06T07:00:41Z
department:
- _id: '15'
- _id: '230'
- _id: '35'
doi: 10.1007/s00340-015-6279-6
intvolume: '       122'
issue: '2'
keyword:
- Bias Voltage
- Optical Parametric Oscillator
- Molecular Beam Epitaxy Growth
- Internal Electric Field
- Dephasing Time
language:
- iso: eng
publication: Applied Physics B
publication_identifier:
  issn:
  - 0946-2171
  - 1432-0649
publication_status: published
publisher: Springer Nature
status: public
title: Coherent photocurrent spectroscopy of single InP-based quantum dots in the
  telecom band at 1.5 µm
type: journal_article
user_id: '49428'
volume: 122
year: '2016'
...
---
_id: '4246'
abstract:
- lang: eng
  text: Spins in semiconductor quantum dots have been considered as prospective quantum
    bit excitations. Their coupling to the crystal environment manifests itself in
    a limitation of the spin coherence times to the microsecond range, both for electron
    and hole spins. This rather short-lived coherence compared to atomic states asks
    for manipulations on timescales as short as possible. Due to the huge dipole moment
    for transitions between the valence and conduction band, pulsed laser systems
    offer the possibility to perform manipulations within picoseconds or even faster.
    Here, we report on results that show the potential of optical spin manipulations
    with currently available pulsed laser systems. Using picosecond laser pulses,
    we demonstrate optically induced spin rotations of electron and hole spins. We
    further realize the optical decoupling of the hole spins from the nuclear surrounding
    at the nanosecond timescales and demonstrate an all-optical spin tomography for
    interacting electron spin sub-ensembles.
article_number: '17'
article_type: original
author:
- first_name: S.
  full_name: Varwig, S.
  last_name: Varwig
- first_name: E.
  full_name: Evers, E.
  last_name: Evers
- first_name: A.
  full_name: Greilich, A.
  last_name: Greilich
- first_name: D. R.
  full_name: Yakovlev, D. R.
  last_name: Yakovlev
- first_name: Dirk
  full_name: Reuter, Dirk
  id: '37763'
  last_name: Reuter
- first_name: A. D.
  full_name: Wieck, A. D.
  last_name: Wieck
- first_name: Torsten
  full_name: Meier, Torsten
  id: '344'
  last_name: Meier
  orcid: 0000-0001-8864-2072
- first_name: Artur
  full_name: Zrenner, Artur
  id: '606'
  last_name: Zrenner
  orcid: 0000-0002-5190-0944
- first_name: M.
  full_name: Bayer, M.
  last_name: Bayer
citation:
  ama: Varwig S, Evers E, Greilich A, et al. Advanced optical manipulation of carrier
    spins in (In,Ga)As quantum dots. <i>Applied Physics B</i>. 2016;122(1). doi:<a
    href="https://doi.org/10.1007/s00340-015-6274-y">10.1007/s00340-015-6274-y</a>
  apa: Varwig, S., Evers, E., Greilich, A., Yakovlev, D. R., Reuter, D., Wieck, A.
    D., Meier, T., Zrenner, A., &#38; Bayer, M. (2016). Advanced optical manipulation
    of carrier spins in (In,Ga)As quantum dots. <i>Applied Physics B</i>, <i>122</i>(1),
    Article 17. <a href="https://doi.org/10.1007/s00340-015-6274-y">https://doi.org/10.1007/s00340-015-6274-y</a>
  bibtex: '@article{Varwig_Evers_Greilich_Yakovlev_Reuter_Wieck_Meier_Zrenner_Bayer_2016,
    title={Advanced optical manipulation of carrier spins in (In,Ga)As quantum dots},
    volume={122}, DOI={<a href="https://doi.org/10.1007/s00340-015-6274-y">10.1007/s00340-015-6274-y</a>},
    number={117}, journal={Applied Physics B}, publisher={Springer Nature}, author={Varwig,
    S. and Evers, E. and Greilich, A. and Yakovlev, D. R. and Reuter, Dirk and Wieck,
    A. D. and Meier, Torsten and Zrenner, Artur and Bayer, M.}, year={2016} }'
  chicago: Varwig, S., E. Evers, A. Greilich, D. R. Yakovlev, Dirk Reuter, A. D. Wieck,
    Torsten Meier, Artur Zrenner, and M. Bayer. “Advanced Optical Manipulation of
    Carrier Spins in (In,Ga)As Quantum Dots.” <i>Applied Physics B</i> 122, no. 1
    (2016). <a href="https://doi.org/10.1007/s00340-015-6274-y">https://doi.org/10.1007/s00340-015-6274-y</a>.
  ieee: 'S. Varwig <i>et al.</i>, “Advanced optical manipulation of carrier spins
    in (In,Ga)As quantum dots,” <i>Applied Physics B</i>, vol. 122, no. 1, Art. no.
    17, 2016, doi: <a href="https://doi.org/10.1007/s00340-015-6274-y">10.1007/s00340-015-6274-y</a>.'
  mla: Varwig, S., et al. “Advanced Optical Manipulation of Carrier Spins in (In,Ga)As
    Quantum Dots.” <i>Applied Physics B</i>, vol. 122, no. 1, 17, Springer Nature,
    2016, doi:<a href="https://doi.org/10.1007/s00340-015-6274-y">10.1007/s00340-015-6274-y</a>.
  short: S. Varwig, E. Evers, A. Greilich, D.R. Yakovlev, D. Reuter, A.D. Wieck, T.
    Meier, A. Zrenner, M. Bayer, Applied Physics B 122 (2016).
date_created: 2018-08-29T08:35:10Z
date_updated: 2025-12-16T16:44:01Z
department:
- _id: '15'
- _id: '230'
- _id: '35'
- _id: '170'
- _id: '293'
- _id: '292'
- _id: '35'
- _id: '290'
doi: 10.1007/s00340-015-6274-y
intvolume: '       122'
issue: '1'
keyword:
- Spin Polarization
- Pump Pulse
- Trion
- Spin Component
- Coherence Time
language:
- iso: eng
publication: Applied Physics B
publication_identifier:
  issn:
  - 0946-2171
  - 1432-0649
publication_status: published
publisher: Springer Nature
status: public
title: Advanced optical manipulation of carrier spins in (In,Ga)As quantum dots
type: journal_article
user_id: '16199'
volume: 122
year: '2016'
...
---
_id: '10779'
author:
- first_name: Zakarya
  full_name: Guettatfi, Zakarya
  last_name: Guettatfi
- first_name: Omar
  full_name: Kermia, Omar
  last_name: Kermia
- first_name: Abdelhakim
  full_name: Khouas, Abdelhakim
  last_name: Khouas
citation:
  ama: 'Guettatfi Z, Kermia O, Khouas A. Over effective hard real-time hardware tasks
    scheduling and allocation. In: <i>25th International Conference on Field Programmable
    Logic and Applications (FPL)</i>. Imperial College; 2015. doi:<a href="https://doi.org/10.1109/FPL.2015.7293994">10.1109/FPL.2015.7293994</a>'
  apa: Guettatfi, Z., Kermia, O., &#38; Khouas, A. (2015). Over effective hard real-time
    hardware tasks scheduling and allocation. In <i>25th International Conference
    on Field Programmable Logic and Applications (FPL)</i>. Imperial College. <a href="https://doi.org/10.1109/FPL.2015.7293994">https://doi.org/10.1109/FPL.2015.7293994</a>
  bibtex: '@inproceedings{Guettatfi_Kermia_Khouas_2015, title={Over effective hard
    real-time hardware tasks scheduling and allocation}, DOI={<a href="https://doi.org/10.1109/FPL.2015.7293994">10.1109/FPL.2015.7293994</a>},
    booktitle={25th International Conference on Field Programmable Logic and Applications
    (FPL)}, publisher={Imperial College}, author={Guettatfi, Zakarya and Kermia, Omar
    and Khouas, Abdelhakim}, year={2015} }'
  chicago: Guettatfi, Zakarya, Omar Kermia, and Abdelhakim Khouas. “Over Effective
    Hard Real-Time Hardware Tasks Scheduling and Allocation.” In <i>25th International
    Conference on Field Programmable Logic and Applications (FPL)</i>. Imperial College,
    2015. <a href="https://doi.org/10.1109/FPL.2015.7293994">https://doi.org/10.1109/FPL.2015.7293994</a>.
  ieee: Z. Guettatfi, O. Kermia, and A. Khouas, “Over effective hard real-time hardware
    tasks scheduling and allocation,” in <i>25th International Conference on Field
    Programmable Logic and Applications (FPL)</i>, 2015.
  mla: Guettatfi, Zakarya, et al. “Over Effective Hard Real-Time Hardware Tasks Scheduling
    and Allocation.” <i>25th International Conference on Field Programmable Logic
    and Applications (FPL)</i>, Imperial College, 2015, doi:<a href="https://doi.org/10.1109/FPL.2015.7293994">10.1109/FPL.2015.7293994</a>.
  short: 'Z. Guettatfi, O. Kermia, A. Khouas, in: 25th International Conference on
    Field Programmable Logic and Applications (FPL), Imperial College, 2015.'
date_created: 2019-07-10T12:11:36Z
date_updated: 2022-01-06T06:50:50Z
department:
- _id: '78'
doi: 10.1109/FPL.2015.7293994
extern: '1'
keyword:
- embedded systems
- field programmable gate arrays
- operating systems (computers)
- scheduling
- μC/OS-II
- FPGAs
- OS foundation
- SafeRTOS
- Xenomai
- chip utilization ration
- complex time constraints
- embedded systems
- hard real-time hardware task allocation
- hard real-time hardware task scheduling
- hardware-software real-time operating systems
- partially reconfigurable field-programmable gate arrays
- resource constraints
- safety-critical RTOS
- Field programmable gate arrays
- Hardware
- Job shop scheduling
- Real-time systems
- Shape
- Software
language:
- iso: eng
publication: 25th International Conference on Field Programmable Logic and Applications
  (FPL)
publication_identifier:
  issn:
  - 1946-147X
publisher: Imperial College
status: public
title: Over effective hard real-time hardware tasks scheduling and allocation
type: conference
user_id: '398'
year: '2015'
...
