---
_id: '668'
abstract:
- lang: eng
  text: The objective of this study is the analysis of movie success mechanisms in
    a genre-specific context. Instead of the examination of all time box office champions,
    we focus on the two film genres of computer animated and comic book based films.
    By introducing the concept of the motion-picture marketing mix, which represents
    a set of tactical marketing tools in order to strengthen a company’s strategic
    customer orientation, we are able to systematically identify key movie success
    factors. We conduct a cross-sectional empirical analysis across regional distinctions
    based on dataset that covers a time horizon of more than 30 years. We find empirical
    evidence that actors with ex ante popularity, award nominations and the production
    budget represent key movie success mechanisms and significantly influence a movie’s
    commercial appeal. Additionally, word-of-mouth creates reputation effects that
    also significantly affects box office gross.
author:
- first_name: Daniel
  full_name: Kaimann, Daniel
  id: '18949'
  last_name: Kaimann
citation:
  ama: Kaimann D. <i>“To Infinity and beyond!” - A Genre-Specific Film Analysis of
    Movie Success Mechanisms</i>. Universität Paderborn; 2011.
  apa: Kaimann, D. (2011). <i>“To infinity and beyond!” - A genre-specific film analysis
    of movie success mechanisms</i>. Universität Paderborn.
  bibtex: '@book{Kaimann_2011, title={“To infinity and beyond!” - A genre-specific
    film analysis of movie success mechanisms}, publisher={Universität Paderborn},
    author={Kaimann, Daniel}, year={2011} }'
  chicago: Kaimann, Daniel. <i>“To Infinity and beyond!” - A Genre-Specific Film Analysis
    of Movie Success Mechanisms</i>. Universität Paderborn, 2011.
  ieee: D. Kaimann, <i>“To infinity and beyond!” - A genre-specific film analysis
    of movie success mechanisms</i>. Universität Paderborn, 2011.
  mla: Kaimann, Daniel. <i>“To Infinity and beyond!” - A Genre-Specific Film Analysis
    of Movie Success Mechanisms</i>. Universität Paderborn, 2011.
  short: D. Kaimann, “To Infinity and beyond!” - A Genre-Specific Film Analysis of
    Movie Success Mechanisms, Universität Paderborn, 2011.
date_created: 2017-10-17T12:43:02Z
date_updated: 2022-01-06T07:03:15Z
ddc:
- '040'
department:
- _id: '183'
file:
- access_level: closed
  content_type: application/pdf
  creator: florida
  date_created: 2018-03-14T13:30:32Z
  date_updated: 2018-03-14T13:30:32Z
  file_id: '1213'
  file_name: 668-SSRN-id2076540.pdf
  file_size: 800960
  relation: main_file
  success: 1
file_date_updated: 2018-03-14T13:30:32Z
has_accepted_license: '1'
language:
- iso: eng
project:
- _id: '1'
  name: SFB 901
- _id: '7'
  name: SFB 901 - Subprojekt A3
- _id: '2'
  name: SFB 901 - Project Area A
publisher: Universität Paderborn
status: public
title: '"To infinity and beyond!" - A genre-specific film analysis of movie success
  mechanisms'
type: report
user_id: '477'
year: '2011'
...
---
_id: '656'
abstract:
- lang: eng
  text: In the next decades, hybrid multi-cores will be the predominant architecture
    for reconfigurable FPGA-based systems. Temperature-aware thread mapping strategies
    are key for providing dependability in such systems. These strategies rely on
    measuring the temperature distribution and redicting the thermal behavior of the
    system when there are changes to the hardware and software running on the FPGA.
    While there are a number of tools that use thermal models to predict temperature
    distributions at design time, these tools lack the flexibility to autonomously
    adjust to changing FPGA configurations. To address this problem we propose a temperature-aware
    system that empowers FPGA-based reconfigurable multi-cores to autonomously predict
    the on-chip temperature distribution for pro-active thread remapping. Our system
    obtains temperature measurements through a self-calibrating grid of sensors and
    uses area constrained heat-generating circuits in order to generate spatial and
    temporal temperature gradients. The generated temperature variations are then
    used to learn the free parameters of the system's thermal model. The system thus
    acquires an understanding of its own thermal characteristics. We implemented an
    FPGA system containing a net of 144 temperature sensors on a Xilinx Virtex-6 LX240T
    FPGA that is aware of its thermal model. Finally, we show that the temperature
    predictions vary less than 0.72 degree C on average compared to the measured temperature
    distributions at run-time.
author:
- first_name: Markus
  full_name: Happe, Markus
  last_name: Happe
- first_name: Andreas
  full_name: Agne, Andreas
  last_name: Agne
- first_name: Christian
  full_name: Plessl, Christian
  id: '16153'
  last_name: Plessl
  orcid: 0000-0001-5728-9982
citation:
  ama: 'Happe M, Agne A, Plessl C. Measuring and Predicting Temperature Distributions
    on FPGAs at Run-Time. In: <i>Proceedings of the 2011 International Conference
    on Reconfigurable Computing and FPGAs (ReConFig)</i>. IEEE; 2011:55-60. doi:<a
    href="https://doi.org/10.1109/ReConFig.2011.59">10.1109/ReConFig.2011.59</a>'
  apa: Happe, M., Agne, A., &#38; Plessl, C. (2011). Measuring and Predicting Temperature
    Distributions on FPGAs at Run-Time. <i>Proceedings of the 2011 International Conference
    on Reconfigurable Computing and FPGAs (ReConFig)</i>, 55–60. <a href="https://doi.org/10.1109/ReConFig.2011.59">https://doi.org/10.1109/ReConFig.2011.59</a>
  bibtex: '@inproceedings{Happe_Agne_Plessl_2011, title={Measuring and Predicting
    Temperature Distributions on FPGAs at Run-Time}, DOI={<a href="https://doi.org/10.1109/ReConFig.2011.59">10.1109/ReConFig.2011.59</a>},
    booktitle={Proceedings of the 2011 International Conference on Reconfigurable
    Computing and FPGAs (ReConFig)}, publisher={IEEE}, author={Happe, Markus and Agne,
    Andreas and Plessl, Christian}, year={2011}, pages={55–60} }'
  chicago: Happe, Markus, Andreas Agne, and Christian Plessl. “Measuring and Predicting
    Temperature Distributions on FPGAs at Run-Time.” In <i>Proceedings of the 2011
    International Conference on Reconfigurable Computing and FPGAs (ReConFig)</i>,
    55–60. IEEE, 2011. <a href="https://doi.org/10.1109/ReConFig.2011.59">https://doi.org/10.1109/ReConFig.2011.59</a>.
  ieee: 'M. Happe, A. Agne, and C. Plessl, “Measuring and Predicting Temperature Distributions
    on FPGAs at Run-Time,” in <i>Proceedings of the 2011 International Conference
    on Reconfigurable Computing and FPGAs (ReConFig)</i>, 2011, pp. 55–60, doi: <a
    href="https://doi.org/10.1109/ReConFig.2011.59">10.1109/ReConFig.2011.59</a>.'
  mla: Happe, Markus, et al. “Measuring and Predicting Temperature Distributions on
    FPGAs at Run-Time.” <i>Proceedings of the 2011 International Conference on Reconfigurable
    Computing and FPGAs (ReConFig)</i>, IEEE, 2011, pp. 55–60, doi:<a href="https://doi.org/10.1109/ReConFig.2011.59">10.1109/ReConFig.2011.59</a>.
  short: 'M. Happe, A. Agne, C. Plessl, in: Proceedings of the 2011 International
    Conference on Reconfigurable Computing and FPGAs (ReConFig), IEEE, 2011, pp. 55–60.'
date_created: 2017-10-17T12:42:59Z
date_updated: 2023-09-26T13:46:08Z
ddc:
- '040'
department:
- _id: '27'
- _id: '518'
- _id: '78'
doi: 10.1109/ReConFig.2011.59
file:
- access_level: closed
  content_type: application/pdf
  creator: florida
  date_created: 2018-03-14T13:49:39Z
  date_updated: 2018-03-14T13:49:39Z
  file_id: '1220'
  file_name: 656-2011_happe_reconfig.pdf
  file_size: 502244
  relation: main_file
  success: 1
file_date_updated: 2018-03-14T13:49:39Z
has_accepted_license: '1'
language:
- iso: eng
page: 55-60
project:
- _id: '1'
  grant_number: '160364472'
  name: SFB 901
- _id: '14'
  grant_number: '160364472'
  name: SFB 901 - Subprojekt C2
- _id: '4'
  name: SFB 901 - Project Area C
- _id: '31'
  grant_number: '257906'
  name: Engineering Proprioception in Computing Systems
publication: Proceedings of the 2011 International Conference on Reconfigurable Computing
  and FPGAs (ReConFig)
publisher: IEEE
quality_controlled: '1'
status: public
title: Measuring and Predicting Temperature Distributions on FPGAs at Run-Time
type: conference
user_id: '15278'
year: '2011'
...