--- _id: '20159' abstract: - lang: eng text: "Let G = (V,E) be an undirected graph on n vertices with non-negative capacities on its edges. The mincut sensitivity problem for the insertion of an edge is defined as follows. Build a compact data structure for G and a given set S ⊆ V of vertices that, on receiving any edge (x,y) ∈ S×S of positive capacity as query input, can efficiently report the set of all pairs from S× S whose mincut value increases upon insertion of the edge (x,y) to G. The only result that exists for this problem is for a single pair of vertices (Picard and Queyranne, Mathematical Programming Study, 13 (1980), 8-16). We present the following results for the single source and the all-pairs versions of this problem. \r\n1) Single source: Given any designated source vertex s, there exists a data structure of size \U0001D4AA(|S|) that can output all those vertices from S whose mincut value to s increases upon insertion of any given edge. The time taken by the data structure to answer any query is \U0001D4AA(|S|). \r\n2) All-pairs: There exists an \U0001D4AA(|S|²) size data structure that can output all those pairs of vertices from S× S whose mincut value gets increased upon insertion of any given edge. The time taken by the data structure to answer any query is \U0001D4AA(k), where k is the number of pairs of vertices whose mincut increases. \r\nFor both these versions, we also address the problem of reporting the values of the mincuts upon insertion of any given edge. To derive our results, we use interesting insights into the nearest and the farthest mincuts for a pair of vertices. In addition, a crucial result, that we establish and use in our data structures, is that there exists a directed acyclic graph of \U0001D4AA(n) size that compactly stores the farthest mincuts from all vertices of V to a designated vertex s in the graph. We believe that this result is of independent interest, especially, because it also complements a previously existing result by Hariharan et al. (STOC 2007) that the nearest mincuts from all vertices of V to s is a laminar family, and hence, can be stored compactly in a tree of \U0001D4AA(n) size." author: - first_name: Surender full_name: Baswana, Surender last_name: Baswana - first_name: Shiv full_name: Gupta, Shiv last_name: Gupta - first_name: Till full_name: Knollmann, Till id: '39241' last_name: Knollmann orcid: 0000-0003-2014-4696 citation: ama: 'Baswana S, Gupta S, Knollmann T. Mincut Sensitivity Data Structures for the Insertion of an Edge. In: Grandoni F, Herman G, Sanders P, eds. 28th Annual European Symposium on Algorithms (ESA 2020). Vol 173. Leibniz International Proceedings in Informatics (LIPIcs). Dagstuhl, Germany: Schloss Dagstuhl -- Leibniz-Zentrum für Informatik; 2020:12:1-12:14. doi:10.4230/LIPIcs.ESA.2020.12' apa: 'Baswana, S., Gupta, S., & Knollmann, T. (2020). Mincut Sensitivity Data Structures for the Insertion of an Edge. In F. Grandoni, G. Herman, & P. Sanders (Eds.), 28th Annual European Symposium on Algorithms (ESA 2020) (Vol. 173, pp. 12:1-12:14). Dagstuhl, Germany: Schloss Dagstuhl -- Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.ESA.2020.12' bibtex: '@inproceedings{Baswana_Gupta_Knollmann_2020, place={Dagstuhl, Germany}, series={Leibniz International Proceedings in Informatics (LIPIcs)}, title={Mincut Sensitivity Data Structures for the Insertion of an Edge}, volume={173}, DOI={10.4230/LIPIcs.ESA.2020.12}, booktitle={28th Annual European Symposium on Algorithms (ESA 2020)}, publisher={Schloss Dagstuhl -- Leibniz-Zentrum für Informatik}, author={Baswana, Surender and Gupta, Shiv and Knollmann, Till}, editor={Grandoni, Fabrizio and Herman, Grzegorz and Sanders, PeterEditors}, year={2020}, pages={12:1-12:14}, collection={Leibniz International Proceedings in Informatics (LIPIcs)} }' chicago: 'Baswana, Surender, Shiv Gupta, and Till Knollmann. “Mincut Sensitivity Data Structures for the Insertion of an Edge.” In 28th Annual European Symposium on Algorithms (ESA 2020), edited by Fabrizio Grandoni, Grzegorz Herman, and Peter Sanders, 173:12:1-12:14. Leibniz International Proceedings in Informatics (LIPIcs). Dagstuhl, Germany: Schloss Dagstuhl -- Leibniz-Zentrum für Informatik, 2020. https://doi.org/10.4230/LIPIcs.ESA.2020.12.' ieee: S. Baswana, S. Gupta, and T. Knollmann, “Mincut Sensitivity Data Structures for the Insertion of an Edge,” in 28th Annual European Symposium on Algorithms (ESA 2020), 2020, vol. 173, pp. 12:1-12:14. mla: Baswana, Surender, et al. “Mincut Sensitivity Data Structures for the Insertion of an Edge.” 28th Annual European Symposium on Algorithms (ESA 2020), edited by Fabrizio Grandoni et al., vol. 173, Schloss Dagstuhl -- Leibniz-Zentrum für Informatik, 2020, pp. 12:1-12:14, doi:10.4230/LIPIcs.ESA.2020.12. short: 'S. Baswana, S. Gupta, T. Knollmann, in: F. Grandoni, G. Herman, P. Sanders (Eds.), 28th Annual European Symposium on Algorithms (ESA 2020), Schloss Dagstuhl -- Leibniz-Zentrum für Informatik, Dagstuhl, Germany, 2020, pp. 12:1-12:14.' date_created: 2020-10-21T12:00:20Z date_updated: 2022-01-06T06:54:20Z department: - _id: '63' doi: 10.4230/LIPIcs.ESA.2020.12 editor: - first_name: Fabrizio full_name: Grandoni, Fabrizio last_name: Grandoni - first_name: Grzegorz full_name: Herman, Grzegorz last_name: Herman - first_name: Peter full_name: Sanders, Peter last_name: Sanders intvolume: ' 173' keyword: - Mincut - Sensitivity - Data Structure language: - iso: eng page: 12:1-12:14 place: Dagstuhl, Germany publication: 28th Annual European Symposium on Algorithms (ESA 2020) publication_identifier: isbn: - 978-3-95977-162-7 issn: - 1868-8969 publisher: Schloss Dagstuhl -- Leibniz-Zentrum für Informatik series_title: Leibniz International Proceedings in Informatics (LIPIcs) status: public title: Mincut Sensitivity Data Structures for the Insertion of an Edge type: conference user_id: '39241' volume: 173 year: '2020' ... --- _id: '21542' abstract: - lang: eng text: Using near-field (NF) scan data to predict the far-field (FF) behaviour of radiating electronic systems represents a novel method to accompany the whole RF design process. This approach involves so-called Huygens' box as an efficient radiation model inside an electromagnetic (EM) simulation tool and then transforms the scanned NF measured data into the FF. For this, the basic idea of the Huygens'box principle and the NF-to-FF transformation are briefly presented. The NF is measured on the Huygens' box around a device under test using anNF scanner, recording the magnitude and phase of the site-related magnetic and electric components. A comparison between a fullwave simulation and the measurement results shows a good similarity in both the NF and the simulated and transformed FF.Thus, this method is applicable to predict the FF behaviour of any electronic system by measuring the NF. With this knowledge, the RF design can be improved due to allowing a significant reduction of EM compatibility failure at the end of the development flow. In addition, the very efficient FF radiation model can be used for detailed investigations in various environments and the impact of such an equivalent radiation source on other electronic systems can be assessed. author: - first_name: Dominik full_name: Schröder, Dominik last_name: Schröder - first_name: Sven full_name: Lange, Sven id: '38240' last_name: Lange - first_name: Christian full_name: Hangmann, Christian last_name: Hangmann - first_name: Christian full_name: Hedayat, Christian last_name: Hedayat citation: ama: 'Schröder D, Lange S, Hangmann C, Hedayat C. Far-field prediction combining simulations with near-field measurements for EMI assessment of PCBs. In: Tensorial Analysis of Networks (TAN) Modelling for PCB Signal Integrity and EMC Analysis. 1st ed. Croyton, UK: The Institution of Engineering and Technology (IET); 2020:315-346 (32). doi:10.1049/pbcs072e_ch14' apa: 'Schröder, D., Lange, S., Hangmann, C., & Hedayat, C. (2020). Far-field prediction combining simulations with near-field measurements for EMI assessment of PCBs. In Tensorial Analysis of Networks (TAN) Modelling for PCB Signal Integrity and EMC Analysis (1st ed., pp. 315-346 (32)). Croyton, UK: The Institution of Engineering and Technology (IET). https://doi.org/10.1049/pbcs072e_ch14' bibtex: '@inbook{Schröder_Lange_Hangmann_Hedayat_2020, place={Croyton, UK}, edition={1}, title={Far-field prediction combining simulations with near-field measurements for EMI assessment of PCBs}, DOI={10.1049/pbcs072e_ch14}, booktitle={Tensorial Analysis of Networks (TAN) Modelling for PCB Signal Integrity and EMC Analysis}, publisher={ The Institution of Engineering and Technology (IET)}, author={Schröder, Dominik and Lange, Sven and Hangmann, Christian and Hedayat, Christian}, year={2020}, pages={315-346 (32)} }' chicago: 'Schröder, Dominik, Sven Lange, Christian Hangmann, and Christian Hedayat. “Far-Field Prediction Combining Simulations with near-Field Measurements for EMI Assessment of PCBs.” In Tensorial Analysis of Networks (TAN) Modelling for PCB Signal Integrity and EMC Analysis, 1st ed., 315-346 (32). Croyton, UK: The Institution of Engineering and Technology (IET), 2020. https://doi.org/10.1049/pbcs072e_ch14.' ieee: 'D. Schröder, S. Lange, C. Hangmann, and C. Hedayat, “Far-field prediction combining simulations with near-field measurements for EMI assessment of PCBs,” in Tensorial Analysis of Networks (TAN) Modelling for PCB Signal Integrity and EMC Analysis, 1st ed., Croyton, UK: The Institution of Engineering and Technology (IET), 2020, pp. 315-346 (32).' mla: Schröder, Dominik, et al. “Far-Field Prediction Combining Simulations with near-Field Measurements for EMI Assessment of PCBs.” Tensorial Analysis of Networks (TAN) Modelling for PCB Signal Integrity and EMC Analysis, 1st ed., The Institution of Engineering and Technology (IET), 2020, pp. 315-346 (32), doi:10.1049/pbcs072e_ch14. short: 'D. Schröder, S. Lange, C. Hangmann, C. Hedayat, in: Tensorial Analysis of Networks (TAN) Modelling for PCB Signal Integrity and EMC Analysis, 1st ed., The Institution of Engineering and Technology (IET), Croyton, UK, 2020, pp. 315-346 (32).' date_created: 2021-03-18T13:49:49Z date_updated: 2022-01-06T06:55:03Z department: - _id: '485' doi: 10.1049/pbcs072e_ch14 edition: '1' keyword: - Huygens' box - NF-to-FF transformation - efficient FF radiation model - FF behaviour - EMI assessment - PCB - near-field measurements - efficient radiation model - far-field behaviour - RF design process - far-field prediction - Huygens'box principle - fullwave simulation - electronic system radiation - equivalent radiation source - electromagnetic simulation tool - near-field scan data - EM compatibility failure reduction language: - iso: eng main_file_link: - url: https://digital-library.theiet.org/content/books/10.1049/pbcs072e_ch14 page: 315-346 (32) place: Croyton, UK project: - _id: '52' name: Computing Resources Provided by the Paderborn Center for Parallel Computing publication: Tensorial Analysis of Networks (TAN) Modelling for PCB Signal Integrity and EMC Analysis publication_identifier: isbn: - '9781839530494' - '9781839530500' publication_status: published publisher: ' The Institution of Engineering and Technology (IET)' related_material: record: - id: '21542' relation: other status: public status: public title: Far-field prediction combining simulations with near-field measurements for EMI assessment of PCBs type: book_chapter user_id: '38240' year: '2020' ... --- _id: '17082' abstract: - lang: eng text: Data-parallel applications run on cluster of servers in a datacenter and their communication triggers correlated resource demand on multiple links that can be abstracted as coflow. They often desire predictable network performance, which can be passed to network via coflow abstraction for application-aware network scheduling. In this paper, we propose a heuristic and an optimization algorithm for predictable network performance such that they guarantee coflows completion within their deadlines. The algorithms also ensure high network utilization, i.e., it's work-conserving, and avoids starvation of coflows. We evaluate both algorithms via trace-driven simulation and show that they admit 1.1x more coflows than the Varys scheme while meeting their deadlines. author: - first_name: Asif full_name: Hasnain, Asif id: '63288' last_name: Hasnain - first_name: Holger full_name: Karl, Holger id: '126' last_name: Karl citation: ama: 'Hasnain A, Karl H. Coflow Scheduling with Performance Guarantees for Data Center Applications. In: 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID). IEEE Computer Society; 2020. doi:https://doi.org/10.1109/CCGrid49817.2020.00010' apa: 'Hasnain, A., & Karl, H. (2020). Coflow Scheduling with Performance Guarantees for Data Center Applications. In 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID). Melbourne, Australia: IEEE Computer Society. https://doi.org/10.1109/CCGrid49817.2020.00010' bibtex: '@inproceedings{Hasnain_Karl_2020, title={Coflow Scheduling with Performance Guarantees for Data Center Applications}, DOI={https://doi.org/10.1109/CCGrid49817.2020.00010}, booktitle={2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID)}, publisher={IEEE Computer Society}, author={Hasnain, Asif and Karl, Holger}, year={2020} }' chicago: Hasnain, Asif, and Holger Karl. “Coflow Scheduling with Performance Guarantees for Data Center Applications.” In 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID). IEEE Computer Society, 2020. https://doi.org/10.1109/CCGrid49817.2020.00010. ieee: A. Hasnain and H. Karl, “Coflow Scheduling with Performance Guarantees for Data Center Applications,” in 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), Melbourne, Australia, 2020. mla: Hasnain, Asif, and Holger Karl. “Coflow Scheduling with Performance Guarantees for Data Center Applications.” 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), IEEE Computer Society, 2020, doi:https://doi.org/10.1109/CCGrid49817.2020.00010. short: 'A. Hasnain, H. Karl, in: 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), IEEE Computer Society, 2020.' conference: location: Melbourne, Australia name: 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID) date_created: 2020-06-06T07:40:45Z date_updated: 2022-01-06T06:53:04Z ddc: - '000' department: - _id: '75' doi: https://doi.org/10.1109/CCGrid49817.2020.00010 keyword: - Coflow - Scheduling - Deadlines - Data centers language: - iso: eng main_file_link: - url: https://ieeexplore.ieee.org/abstract/document/9139642 project: - _id: '4' name: SFB 901 - Project Area C - _id: '16' name: SFB 901 - Subproject C4 - _id: '1' name: SFB 901 publication: 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID) publication_status: published publisher: IEEE Computer Society status: public title: Coflow Scheduling with Performance Guarantees for Data Center Applications type: conference user_id: '63288' year: '2020' ... --- _id: '47476' abstract: - lang: eng text: "Digital data on tangible and intangible cultural assets is an essential part of daily life, communication and experience. It has a lasting influence on the perception of cultural identity as well as on the interactions between research, the cultural economy and society. Throughout the last three decades, many cultural heritage institutions have contributed a wealth of digital representations of cultural assets (2D digital reproductions of paintings, sheet music, 3D digital models of sculptures, monuments, rooms, buildings), audio-visual data (music, film, stage performances), and procedural research data such as encoding and annotation formats. The long-term preservation and FAIR availability of research data from the cultural heritage domain is fundamentally important, not only for future academic success in the humanities but also for the cultural identity of individuals and society as a whole. Up to now, no coordinated effort for professional research data management on a national level exists in Germany. NFDI4Culture aims to fill this gap and create a user-centered, research-driven infrastructure that will cover a broad range of research domains from musicology, art history and architecture to performance, theatre, film, and media studies.\r\n The research landscape addressed by the consortium is characterized by strong institutional differentiation. Research units in the consortium's community of interest comprise university institutes, art colleges, academies, galleries, libraries, archives and museums. This diverse landscape is also characterized by an abundance of research objects, methodologies and a great potential for data-driven research. In a unique effort carried out by the applicant and co-applicants of this proposal and ten academic societies, this community is interconnected for the first time through a federated approach that is ideally suited to the needs of the participating researchers. To promote collaboration within the NFDI, to share knowledge and technology and to provide extensive support for its users have been the guiding principles of the consortium from the beginning and will be at the heart of all workflows and decision-making processes. Thanks to these principles, NFDI4Culture has gathered strong support ranging from individual researchers to high-level cultural heritage organizations such as the UNESCO, the International Council of Museums, the Open Knowledge Foundation and Wikimedia. On this basis, NFDI4Culture will take innovative measures that promote a cultural change towards a more reflective and sustainable handling of research data and at the same time boost qualification and professionalization in data-driven research in the domain of cultural heritage. This will create a long-lasting impact on science, cultural economy and society as a whole." article_type: original author: - first_name: Reinhard full_name: Altenhöner, Reinhard last_name: Altenhöner - first_name: Ina full_name: Blümel, Ina last_name: Blümel - first_name: Franziska full_name: Boehm, Franziska last_name: Boehm - first_name: Jens full_name: Bove, Jens last_name: Bove - first_name: Katrin full_name: Bicher, Katrin last_name: Bicher - first_name: Christian full_name: Bracht, Christian last_name: Bracht - first_name: Ortrun full_name: Brand, Ortrun last_name: Brand - first_name: Lisa full_name: Dieckmann, Lisa last_name: Dieckmann - first_name: Maria full_name: Effinger, Maria last_name: Effinger - first_name: Malte full_name: Hagener, Malte last_name: Hagener - first_name: Andrea full_name: Hammes, Andrea last_name: Hammes - first_name: Lambert full_name: Heller, Lambert last_name: Heller - first_name: Angela full_name: Kailus, Angela last_name: Kailus - first_name: Hubertus full_name: Kohle, Hubertus last_name: Kohle - first_name: Jens full_name: Ludwig, Jens last_name: Ludwig - first_name: Andreas full_name: Münzmay, Andreas id: '61139' last_name: Münzmay orcid: 0000-0002-8373-4055 - first_name: Sarah full_name: Pittroff, Sarah last_name: Pittroff - first_name: Matthias full_name: Razum, Matthias last_name: Razum - first_name: Daniel full_name: Röwenstrunk, Daniel last_name: Röwenstrunk - first_name: Harald full_name: Sack, Harald last_name: Sack - first_name: Holger full_name: Simon, Holger last_name: Simon - first_name: Dörte full_name: Schmidt, Dörte last_name: Schmidt - first_name: Torsten full_name: Schrade, Torsten last_name: Schrade - first_name: Annika-Valeska full_name: Walzel, Annika-Valeska last_name: Walzel - first_name: Barbara full_name: Wiermann, Barbara last_name: Wiermann citation: ama: Altenhöner R, Blümel I, Boehm F, et al. NFDI4Culture - Consortium for research data on material and immaterial cultural heritage. Research Ideas and Outcomes. 2020;6. doi:10.3897/rio.6.e57036 apa: Altenhöner, R., Blümel, I., Boehm, F., Bove, J., Bicher, K., Bracht, C., Brand, O., Dieckmann, L., Effinger, M., Hagener, M., Hammes, A., Heller, L., Kailus, A., Kohle, H., Ludwig, J., Münzmay, A., Pittroff, S., Razum, M., Röwenstrunk, D., … Wiermann, B. (2020). NFDI4Culture - Consortium for research data on material and immaterial cultural heritage. Research Ideas and Outcomes, 6. https://doi.org/10.3897/rio.6.e57036 bibtex: '@article{Altenhöner_Blümel_Boehm_Bove_Bicher_Bracht_Brand_Dieckmann_Effinger_Hagener_et al._2020, title={NFDI4Culture - Consortium for research data on material and immaterial cultural heritage}, volume={6}, DOI={10.3897/rio.6.e57036}, journal={Research Ideas and Outcomes}, publisher={Pensoft Publishers}, author={Altenhöner, Reinhard and Blümel, Ina and Boehm, Franziska and Bove, Jens and Bicher, Katrin and Bracht, Christian and Brand, Ortrun and Dieckmann, Lisa and Effinger, Maria and Hagener, Malte and et al.}, year={2020} }' chicago: Altenhöner, Reinhard, Ina Blümel, Franziska Boehm, Jens Bove, Katrin Bicher, Christian Bracht, Ortrun Brand, et al. “NFDI4Culture - Consortium for Research Data on Material and Immaterial Cultural Heritage.” Research Ideas and Outcomes 6 (2020). https://doi.org/10.3897/rio.6.e57036. ieee: 'R. Altenhöner et al., “NFDI4Culture - Consortium for research data on material and immaterial cultural heritage,” Research Ideas and Outcomes, vol. 6, 2020, doi: 10.3897/rio.6.e57036.' mla: Altenhöner, Reinhard, et al. “NFDI4Culture - Consortium for Research Data on Material and Immaterial Cultural Heritage.” Research Ideas and Outcomes, vol. 6, Pensoft Publishers, 2020, doi:10.3897/rio.6.e57036. short: R. Altenhöner, I. Blümel, F. Boehm, J. Bove, K. Bicher, C. Bracht, O. Brand, L. Dieckmann, M. Effinger, M. Hagener, A. Hammes, L. Heller, A. Kailus, H. Kohle, J. Ludwig, A. Münzmay, S. Pittroff, M. Razum, D. Röwenstrunk, H. Sack, H. Simon, D. Schmidt, T. Schrade, A.-V. Walzel, B. Wiermann, Research Ideas and Outcomes 6 (2020). date_created: 2023-09-27T07:02:04Z date_updated: 2024-02-19T11:01:52Z department: - _id: '572' - _id: '856' - _id: '615' doi: 10.3897/rio.6.e57036 intvolume: ' 6' keyword: - Research Data Management language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.3897/rio.6.e57036 oa: '1' project: - _id: '745' name: 'NFDI4Culture: NFDI4Culture – Konsortium für Forschungsdaten materieller und immaterieller Kulturgüter' publication: Research Ideas and Outcomes publication_identifier: issn: - 2367-7163 publication_status: published publisher: Pensoft Publishers quality_controlled: '1' status: public title: NFDI4Culture - Consortium for research data on material and immaterial cultural heritage type: journal_article user_id: '61139' volume: 6 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. Business & Information Systems Engineering. 2020;63:145-156. doi:10.1007/s12599-020-00646-z 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. Business & Information Systems Engineering, 63, 145–156. https://doi.org/10.1007/s12599-020-00646-z 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={10.1007/s12599-020-00646-z}, journal={Business & 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.” Business & Information Systems Engineering 63 (2020): 145–56. https://doi.org/10.1007/s12599-020-00646-z.' ieee: 'D. Beverungen et al., “Seven Paradoxes of Business Process Management in a Hyper-Connected World,” Business & Information Systems Engineering, vol. 63, pp. 145–156, 2020, doi: 10.1007/s12599-020-00646-z.' mla: Beverungen, Daniel, et al. “Seven Paradoxes of Business Process Management in a Hyper-Connected World.” Business & Information Systems Engineering, vol. 63, SpringerNature, 2020, pp. 145–56, doi:10.1007/s12599-020-00646-z. 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 & 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: '23756' abstract: - lang: eng text: "Creativity is perceived to be one of the core competences to succeed in the modern world. It is\r\nconnected to art, music, dancing, etc., but there is just little insight into the role of creativity in\r\nscience. As data analysis plays a major role in science, creative thinking has to be used to form\r\ntheories out of observations. This study uses models-of-data to represent the mental model of\r\nthe students. Within models-of-data different observations and previous knowledge are linked\r\nthrough different types of links, e.g. causal links. The goal of this study was to examine the\r\ncreative aspect of data evaluation in presence of anomalous data. The students were confronted\r\nwith two experiments which contradicted each other with regard to the underlying theory.\r\nAfterwards the students were asked to decide about their favored theory and reasoning about\r\ntheir choice in their lab reports. The model-of-data, which was reconstructed from the lab\r\nreports of the students, was used to extract creative aspects in the mental modelling process.\r\nFurthermore, a pre-post-questionnaire on epistemological beliefs of the students was\r\nconducted. Students mostly acquired an unscientific view on epistemology in school. The\r\nquestion was whether the confrontation with anomalous data and the triggering of creative\r\nmodelling processes have any influence on this.\r\nThe results show that most students did not take anomalous data into account in their modelling\r\nprocesses. They did either not recognise or just ignore the data. Just a few students worked on\r\ntheir theory because of the new, contradictory data. The students working on their theory\r\nscored higher in the post-questionnaire, so a positive effect of creativity on scientific\r\nepistemology can be assumed. Thus, creativity obviously gets a part of science and should be\r\ntaught in school science in order to make students aware of their own creative potential." author: - first_name: Pascal full_name: Pollmeier, Pascal id: '44191' last_name: Pollmeier - first_name: Sabine full_name: Fechner, Sabine id: '54823' last_name: Fechner orcid: 0000-0001-5645-5870 citation: ama: 'Pollmeier P, Fechner S. Creativity in data analysis through confrontation with anomalous data. In: Levrini O, Tasquir G, Kaya E, Vesterinen V-M, eds. The Beauty and Pleasure of Understanding: Engaging with Contemporary Challenges through Science Education. Electronic Proceedings of the ESERA 2019 Conference. . ALMA MATER STUDIORUM - University of Bologna; 2019:751-759.' apa: 'Pollmeier, P., & Fechner, S. (2019). Creativity in data analysis through confrontation with anomalous data. In O. Levrini, G. Tasquir, E. Kaya, & V.-M. Vesterinen (Eds.), The beauty and pleasure of understanding: engaging with contemporary challenges through science education. Electronic Proceedings of the ESERA 2019 Conference. (pp. 751–759). ALMA MATER STUDIORUM - University of Bologna.' bibtex: '@inproceedings{Pollmeier_Fechner_2019, place={Bologna}, title={Creativity in data analysis through confrontation with anomalous data}, booktitle={The beauty and pleasure of understanding: engaging with contemporary challenges through science education. Electronic Proceedings of the ESERA 2019 Conference. }, publisher={ALMA MATER STUDIORUM - University of Bologna}, author={Pollmeier, Pascal and Fechner, Sabine}, editor={Levrini, Olivia and Tasquir, Giulia and Kaya, Ebru and Vesterinen, Veli-Matti}, year={2019}, pages={751–759} }' chicago: 'Pollmeier, Pascal, and Sabine Fechner. “Creativity in Data Analysis through Confrontation with Anomalous Data.” In The Beauty and Pleasure of Understanding: Engaging with Contemporary Challenges through Science Education. Electronic Proceedings of the ESERA 2019 Conference. , edited by Olivia Levrini, Giulia Tasquir, Ebru Kaya, and Veli-Matti Vesterinen, 751–59. Bologna: ALMA MATER STUDIORUM - University of Bologna, 2019.' ieee: 'P. Pollmeier and S. Fechner, “Creativity in data analysis through confrontation with anomalous data,” in The beauty and pleasure of understanding: engaging with contemporary challenges through science education. Electronic Proceedings of the ESERA 2019 Conference. , Bologna, 2019, pp. 751–759.' mla: 'Pollmeier, Pascal, and Sabine Fechner. “Creativity in Data Analysis through Confrontation with Anomalous Data.” The Beauty and Pleasure of Understanding: Engaging with Contemporary Challenges through Science Education. Electronic Proceedings of the ESERA 2019 Conference. , edited by Olivia Levrini et al., ALMA MATER STUDIORUM - University of Bologna, 2019, pp. 751–59.' short: 'P. Pollmeier, S. Fechner, in: O. Levrini, G. Tasquir, E. Kaya, V.-M. Vesterinen (Eds.), The Beauty and Pleasure of Understanding: Engaging with Contemporary Challenges through Science Education. Electronic Proceedings of the ESERA 2019 Conference. , ALMA MATER STUDIORUM - University of Bologna, Bologna, 2019, pp. 751–759.' conference: end_date: 2019-08-30 location: Bologna name: 'ESERA 2019 Conference. The beauty and pleasure of understanding: engaging with contemporary challenges through science education,' start_date: 2019-08-26 date_created: 2021-09-03T12:45:24Z date_updated: 2025-12-03T18:11:41Z ddc: - '370' department: - _id: '386' editor: - first_name: Olivia full_name: Levrini, Olivia last_name: Levrini - first_name: Giulia full_name: Tasquir, Giulia last_name: Tasquir - first_name: Ebru full_name: Kaya, Ebru last_name: Kaya - first_name: Veli-Matti full_name: Vesterinen, Veli-Matti last_name: Vesterinen has_accepted_license: '1' keyword: - epistemology - conceptual change - anomalous data language: - iso: eng page: 751-759 place: Bologna publication: 'The beauty and pleasure of understanding: engaging with contemporary challenges through science education. Electronic Proceedings of the ESERA 2019 Conference. ' publication_identifier: unknown: - 978-88-945874-0-1 publication_status: published publisher: ALMA MATER STUDIORUM - University of Bologna quality_controlled: '1' status: public title: Creativity in data analysis through confrontation with anomalous data type: conference user_id: '54823' year: '2019' ... --- _id: '5910' author: - first_name: Birte full_name: Heinemann, Birte last_name: Heinemann - first_name: Simone full_name: Opel, Simone last_name: Opel - first_name: Lea full_name: Budde, Lea last_name: Budde - first_name: Carsten full_name: Schulte, Carsten last_name: Schulte - first_name: Daniel full_name: Frischemeier, Daniel last_name: Frischemeier - first_name: Rolf full_name: Biehler, Rolf last_name: Biehler - first_name: Susanne full_name: Podworny, Susanne last_name: Podworny - first_name: Thomas full_name: Wassong, Thomas id: '21241' last_name: Wassong citation: ama: Heinemann B, Opel S, Budde L, et al. Drafting a Data Science Curriculum for Secondary Schools. Proceedings of the 18th Koli Calling International Conference on Computing Education Research - Koli Calling ’18. 2018;(17):1-5. doi:10.1145/3279720.3279737 apa: Heinemann, B., Opel, S., Budde, L., Schulte, C., Frischemeier, D., Biehler, R., … Wassong, T. (2018). Drafting a Data Science Curriculum for Secondary Schools. Proceedings of the 18th Koli Calling International Conference on Computing Education Research - Koli Calling ’18, (17), 1–5. https://doi.org/10.1145/3279720.3279737 bibtex: '@article{Heinemann_Opel_Budde_Schulte_Frischemeier_Biehler_Podworny_Wassong_2018, title={Drafting a Data Science Curriculum for Secondary Schools}, DOI={10.1145/3279720.3279737}, number={17}, journal={Proceedings of the 18th Koli Calling International Conference on Computing Education Research - Koli Calling ’18}, author={Heinemann, Birte and Opel, Simone and Budde, Lea and Schulte, Carsten and Frischemeier, Daniel and Biehler, Rolf and Podworny, Susanne and Wassong, Thomas}, year={2018}, pages={1–5} }' chicago: 'Heinemann, Birte, Simone Opel, Lea Budde, Carsten Schulte, Daniel Frischemeier, Rolf Biehler, Susanne Podworny, and Thomas Wassong. “Drafting a Data Science Curriculum for Secondary Schools.” Proceedings of the 18th Koli Calling International Conference on Computing Education Research - Koli Calling ’18, no. 17 (2018): 1–5. https://doi.org/10.1145/3279720.3279737.' ieee: B. Heinemann et al., “Drafting a Data Science Curriculum for Secondary Schools,” Proceedings of the 18th Koli Calling International Conference on Computing Education Research - Koli Calling ’18, no. 17, pp. 1–5, 2018. mla: Heinemann, Birte, et al. “Drafting a Data Science Curriculum for Secondary Schools.” Proceedings of the 18th Koli Calling International Conference on Computing Education Research - Koli Calling ’18, no. 17, 2018, pp. 1–5, doi:10.1145/3279720.3279737. short: B. Heinemann, S. Opel, L. Budde, C. Schulte, D. Frischemeier, R. Biehler, S. Podworny, T. Wassong, Proceedings of the 18th Koli Calling International Conference on Computing Education Research - Koli Calling ’18 (2018) 1–5. date_created: 2018-11-27T10:44:10Z date_updated: 2022-01-06T07:02:47Z doi: 10.1145/3279720.3279737 issue: '17' keyword: - Curriculum Development - Data Science - Secondary Sc - acm reference format - big data - curriculum development - data literacy - data science - educa- - interdisciplinary - secondary schools - tion language: - iso: eng page: 1-5 publication: Proceedings of the 18th Koli Calling International Conference on Computing Education Research - Koli Calling '18 publication_identifier: isbn: - '9781450365352' publication_status: published status: public title: Drafting a Data Science Curriculum for Secondary Schools type: journal_article user_id: '21241' year: '2018' ... --- _id: '4411' abstract: - lang: eng text: "While a lot of research in distributed computing has covered solutions for self-stabilizing computing and topologies, there is far less work on self-stabilization for distributed data structures.\r\nConsidering crashing peers in peer-to-peer networks, it should not be taken for granted that a distributed data structure remains intact.\r\nIn this work, we present a self-stabilizing protocol for a distributed data structure called the hashed Patricia Trie (Kniesburges and Scheideler WALCOM'11) that enables efficient prefix search on a set of keys.\r\nThe data structure has a wide area of applications including string matching problems while offering low overhead and efficient operations when embedded on top of a distributed hash table.\r\nEspecially, longest prefix matching for $x$ can be done in $\\mathcal{O}(\\log |x|)$ hash table read accesses.\r\nWe show how to maintain the structure in a self-stabilizing way.\r\nOur protocol assures low overhead in a legal state and a total (asymptotically optimal) memory demand of $\\Theta(d)$ bits, where $d$ is the number of bits needed for storing all keys." author: - first_name: Till full_name: Knollmann, Till id: '39241' last_name: Knollmann orcid: 0000-0003-2014-4696 - first_name: Christian full_name: Scheideler, Christian id: '20792' last_name: Scheideler citation: ama: 'Knollmann T, Scheideler C. A Self-Stabilizing Hashed Patricia Trie. In: Izumi T, Kuznetsov P, eds. Proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS). Vol 11201. Lecture Notes of Computer Science. Springer, Cham; 2018. doi:10.1007/978-3-030-03232-6_1' apa: 'Knollmann, T., & Scheideler, C. (2018). A Self-Stabilizing Hashed Patricia Trie. In T. Izumi & P. Kuznetsov (Eds.), Proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS) (Vol. 11201). Tokyo: Springer, Cham. https://doi.org/10.1007/978-3-030-03232-6_1' bibtex: '@inproceedings{Knollmann_Scheideler_2018, series={Lecture Notes of Computer Science}, title={A Self-Stabilizing Hashed Patricia Trie}, volume={11201}, DOI={10.1007/978-3-030-03232-6_1}, booktitle={Proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS)}, publisher={Springer, Cham}, author={Knollmann, Till and Scheideler, Christian}, editor={Izumi, Taisuke and Kuznetsov, PetrEditors}, year={2018}, collection={Lecture Notes of Computer Science} }' chicago: Knollmann, Till, and Christian Scheideler. “A Self-Stabilizing Hashed Patricia Trie.” In Proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS), edited by Taisuke Izumi and Petr Kuznetsov, Vol. 11201. Lecture Notes of Computer Science. Springer, Cham, 2018. https://doi.org/10.1007/978-3-030-03232-6_1. ieee: T. Knollmann and C. Scheideler, “A Self-Stabilizing Hashed Patricia Trie,” in Proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS), Tokyo, 2018, vol. 11201. mla: Knollmann, Till, and Christian Scheideler. “A Self-Stabilizing Hashed Patricia Trie.” Proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS), edited by Taisuke Izumi and Petr Kuznetsov, vol. 11201, Springer, Cham, 2018, doi:10.1007/978-3-030-03232-6_1. short: 'T. Knollmann, C. Scheideler, in: T. Izumi, P. Kuznetsov (Eds.), Proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS), Springer, Cham, 2018.' conference: end_date: 2018-11-07 location: Tokyo name: 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS) start_date: 2018-11-04 date_created: 2018-09-17T13:12:18Z date_updated: 2022-01-06T07:01:02Z ddc: - '000' department: - _id: '63' - _id: '79' doi: 10.1007/978-3-030-03232-6_1 editor: - first_name: Taisuke full_name: Izumi, Taisuke last_name: Izumi - first_name: Petr full_name: Kuznetsov, Petr last_name: Kuznetsov external_id: arxiv: - '1809.04923' file: - access_level: closed content_type: application/pdf creator: ups date_created: 2018-11-02T14:38:37Z date_updated: 2018-11-02T14:38:37Z file_id: '5277' file_name: ASelf-stabilizingHashedPatrici.pdf file_size: 500005 relation: main_file success: 1 file_date_updated: 2018-11-02T14:38:37Z has_accepted_license: '1' intvolume: ' 11201' keyword: - Self-Stabilizing - Prefix Search - Distributed Data Structure language: - iso: eng project: - _id: '1' name: SFB 901 - _id: '2' name: SFB 901 - Project Area A - _id: '5' name: SFB 901 - Subproject A1 publication: Proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS) publisher: Springer, Cham series_title: Lecture Notes of Computer Science status: public title: A Self-Stabilizing Hashed Patricia Trie type: conference user_id: '39241' volume: 11201 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. Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security. Setúbal, Portugal: SCITEPRESS; 2017:117-124. doi:10.5220/0006354801170124' apa: 'Kersting, J., Geierhos, M., Jung, H., & 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, & V. Chang (Eds.), Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security (pp. 117–124). Setúbal, Portugal: SCITEPRESS. https://doi.org/10.5220/0006354801170124' bibtex: '@inproceedings{Kersting_Geierhos_Jung_Kim_2017, place={Setúbal, Portugal}, title={Internet of Things Architecture for Handling Stream Air Pollution Data}, DOI={10.5220/0006354801170124}, 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 Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security, edited by Muthu Ramachandran, Víctor Méndez Muñoz, Verena Kantere, Gary Wills, Robert Walters, and Victor Chang, 117–24. Setúbal, Portugal: SCITEPRESS, 2017. https://doi.org/10.5220/0006354801170124.' ieee: J. Kersting, M. Geierhos, H. Jung, and T. Kim, “Internet of Things Architecture for Handling Stream Air Pollution Data,” in Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security, Porto, Portugal, 2017, pp. 117–124. mla: Kersting, Joschka, et al. “Internet of Things Architecture for Handling Stream Air Pollution Data.” Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security, edited by Muthu Ramachandran et al., SCITEPRESS, 2017, pp. 117–24, doi:10.5220/0006354801170124. 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: '1161' abstract: - lang: eng text: Consulting a physician was long regarded as an intimate and private matter. The physician-patient relationship was perceived as sensitive and trustful. Nowadays, there is a change, as medical procedures and physicians consultations are reviewed like other services on the Internet. To allay user’s privacy doubts, physician review websites assure anonymity and the protection of private data. However, there are hundreds of reviews that reveal private information and hence enable physicians or the public to identify patients. Thus, we draw attention to the cases when de-anonymization is possible. We therefore introduce an approach that highlights private information in physician reviews for users to avoid an accidental disclosure. For this reason, we combine established natural-language-processing techniques such as named entity recognition as well as handcrafted patterns to achieve a high detection accuracy. That way, we can help websites to increase privacy protection by recognizing and uncovering apparently uncritical information in user-generated texts. author: - first_name: Frederik Simon full_name: Bäumer, Frederik Simon id: '38837' last_name: Bäumer - first_name: Nicolai full_name: Grote, Nicolai last_name: Grote - 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 citation: ama: 'Bäumer FS, Grote N, Kersting J, Geierhos M. Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews. In: Damaševičius R, Mikašytė V, eds. Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings. Vol 756. Communications in Computer and Information Science. Cham, Switzerland: Springer; 2017:77-89. doi:10.1007/978-3-319-67642-5_7' apa: 'Bäumer, F. S., Grote, N., Kersting, J., & Geierhos, M. (2017). Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews. In R. Damaševičius & V. Mikašytė (Eds.), Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings (Vol. 756, pp. 77–89). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-67642-5_7' bibtex: '@inbook{Bäumer_Grote_Kersting_Geierhos_2017, place={Cham, Switzerland}, series={Communications in Computer and Information Science}, title={Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews}, volume={756}, DOI={10.1007/978-3-319-67642-5_7}, booktitle={Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings}, publisher={Springer}, author={Bäumer, Frederik Simon and Grote, Nicolai and Kersting, Joschka and Geierhos, Michaela}, editor={Damaševičius, Robertas and Mikašytė, VíctorEditors}, year={2017}, pages={77–89}, collection={Communications in Computer and Information Science} }' chicago: 'Bäumer, Frederik Simon, Nicolai Grote, Joschka Kersting, and Michaela Geierhos. “Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews.” In Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings, edited by Robertas Damaševičius and Víctor Mikašytė, 756:77–89. Communications in Computer and Information Science. Cham, Switzerland: Springer, 2017. https://doi.org/10.1007/978-3-319-67642-5_7.' ieee: 'F. S. Bäumer, N. Grote, J. Kersting, and M. Geierhos, “Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews,” in Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings, vol. 756, R. Damaševičius and V. Mikašytė, Eds. Cham, Switzerland: Springer, 2017, pp. 77–89.' mla: 'Bäumer, Frederik Simon, et al. “Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews.” Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings, edited by Robertas Damaševičius and Víctor Mikašytė, vol. 756, Springer, 2017, pp. 77–89, doi:10.1007/978-3-319-67642-5_7.' short: 'F.S. Bäumer, N. Grote, J. Kersting, M. Geierhos, in: R. Damaševičius, V. Mikašytė (Eds.), Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings, Springer, Cham, Switzerland, 2017, pp. 77–89.' conference: end_date: 2017-10-14 location: Druskininkai, Lithuania name: 23rd International Conference on Information and Software Technologies (ICIST 2017) start_date: 2017-10-12 date_created: 2018-02-01T09:17:36Z date_updated: 2022-01-06T06:51:04Z ddc: - '000' department: - _id: '36' - _id: '1' - _id: '579' doi: 10.1007/978-3-319-67642-5_7 editor: - first_name: Robertas full_name: Damaševičius, Robertas last_name: Damaševičius - first_name: Víctor full_name: Mikašytė, Víctor last_name: Mikašytė file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2020-09-18T09:21:45Z date_updated: 2020-09-18T09:21:45Z file_id: '19570' file_name: Bäumer et al. (2017), Bäumer2017_Original.pdf file_size: 770358 relation: main_file success: 1 file_date_updated: 2020-09-18T09:21:45Z has_accepted_license: '1' intvolume: ' 756' keyword: - Physician Reviews - User Privacy - Nocuous Data Exposure language: - iso: eng page: 77-89 place: Cham, Switzerland publication: 'Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings' publication_identifier: eisbn: - 978-3-319-67642-5 isbn: - 978-3-319-67641-8 publication_status: published publisher: Springer quality_controlled: '1' series_title: Communications in Computer and Information Science status: public title: 'Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews' type: book_chapter user_id: '58701' volume: 756 year: '2017' ... --- _id: '5829' abstract: - lang: eng text: Websites increasingly embed semantic data for search engine optimization. The most common ontology for semantic data, schema.org, is supported by all major search engines and describes over 500 data types, including calendar events, recipes, products, and TV shows. As of today, users wishing to pass this data to their favorite applications, e.g., their calendars, cookbooks, price comparison applications or even smart devices such as TV receivers, rely on cumbersome and error-prone workarounds such as reentering the data or a series of copy and paste operations. In this paper, we present Semantic Data Mediator (SDM), an approach that allows the easy transfer of semantic data to a multitude of services, ranging from web services to applications installed on different devices. SDM extracts semantic data from the currently displayed web page on the client-side, offers suitable services to the user, and by the press of a button, forwards this data to the desired service while doing all the necessary data conversion and service interface adaptation in between. To realize this, we built a reusable repository of service descriptions, data converters, and service adapters, which can be extended by the crowd. Our approach for linking services to websites relies solely on semantic data and does not require any additional support by either website or service developers. We have fully implemented our approach and present a real-world case study demonstrating its feasibility and usefulness. author: - first_name: Dennis full_name: Wolters, Dennis id: '11308' last_name: Wolters - first_name: Stefan full_name: Heindorf, Stefan id: '11871' last_name: Heindorf orcid: 0000-0002-4525-6865 - first_name: Jonas full_name: Kirchhoff, Jonas id: '39928' last_name: Kirchhoff - first_name: Gregor full_name: Engels, Gregor id: '107' last_name: Engels citation: ama: 'Wolters D, Heindorf S, Kirchhoff J, Engels G. Linking Services to Websites by Leveraging Semantic Data. In: Altintas I, Chen S, eds. 2017 IEEE International Conference on Web Services (ICWS). IEEE; 2017. doi:10.1109/icws.2017.80' apa: Wolters, D., Heindorf, S., Kirchhoff, J., & Engels, G. (2017). Linking Services to Websites by Leveraging Semantic Data. In I. Altintas & S. Chen (Eds.), 2017 IEEE International Conference on Web Services (ICWS). IEEE. https://doi.org/10.1109/icws.2017.80 bibtex: '@inproceedings{Wolters_Heindorf_Kirchhoff_Engels_2017, title={Linking Services to Websites by Leveraging Semantic Data}, DOI={10.1109/icws.2017.80}, booktitle={2017 IEEE International Conference on Web Services (ICWS)}, publisher={IEEE}, author={Wolters, Dennis and Heindorf, Stefan and Kirchhoff, Jonas and Engels, Gregor}, editor={Altintas, Ilkay and Chen, Shiping}, year={2017} }' chicago: Wolters, Dennis, Stefan Heindorf, Jonas Kirchhoff, and Gregor Engels. “Linking Services to Websites by Leveraging Semantic Data.” In 2017 IEEE International Conference on Web Services (ICWS), edited by Ilkay Altintas and Shiping Chen. IEEE, 2017. https://doi.org/10.1109/icws.2017.80. ieee: 'D. Wolters, S. Heindorf, J. Kirchhoff, and G. Engels, “Linking Services to Websites by Leveraging Semantic Data,” in 2017 IEEE International Conference on Web Services (ICWS), 2017, doi: 10.1109/icws.2017.80.' mla: Wolters, Dennis, et al. “Linking Services to Websites by Leveraging Semantic Data.” 2017 IEEE International Conference on Web Services (ICWS), edited by Ilkay Altintas and Shiping Chen, IEEE, 2017, doi:10.1109/icws.2017.80. short: 'D. Wolters, S. Heindorf, J. Kirchhoff, G. Engels, in: I. Altintas, S. Chen (Eds.), 2017 IEEE International Conference on Web Services (ICWS), IEEE, 2017.' date_created: 2018-11-26T11:49:31Z date_updated: 2022-10-15T20:01:55Z department: - _id: '66' doi: 10.1109/icws.2017.80 editor: - first_name: Ilkay full_name: Altintas, Ilkay last_name: Altintas - first_name: Shiping full_name: Chen, Shiping last_name: Chen keyword: - Services - Websites - Semantic Data - schema.org - Data Conversion - Interface Adaptation - Mediation language: - iso: eng main_file_link: - open_access: '1' url: https://cs.uni-paderborn.de/fileadmin/informatik/fg/dbis/Publikationen/2017/wolters2017_ICWS.pdf oa: '1' publication: 2017 IEEE International Conference on Web Services (ICWS) publication_identifier: isbn: - '9781538607527' publication_status: published publisher: IEEE status: public title: Linking Services to Websites by Leveraging Semantic Data type: conference user_id: '11871' year: '2017' ... --- _id: '2856' abstract: - lang: eng text: Taxi ridesharing1 (TRS) is an advanced form of urban transportation that matches separate ride requests with similar spatio-temporal characteristics to a jointly used taxi. As collaborative consumption, TRS saves customers money, enables taxi companies to economize use of their resources, and lowers greenhouse gas emissions. We develop a one-to-one TRS approach that matches rides with similar start and end points. We evaluate our approach by analyzing an open dataset of > 5 million taxi trajectories in New York City. Our empirical analysis reveals that the proposed approach matches up to 48.34% of all taxi rides, saving 2,892,036 km of travel distance, 231,362.89 l of gas, and 532,134.64 kg of CO2 emissions per week. Compared to many-to-many TRS approaches, our approach is competitive, simpler to implement and operate, and poses less rigid assumptions on data availability and customer acceptance. article_type: original author: - first_name: Benjamin full_name: Barann, Benjamin last_name: Barann - first_name: Daniel full_name: Beverungen, Daniel id: '59677' last_name: Beverungen - first_name: Oliver full_name: Müller, Oliver id: '72849' last_name: Müller citation: ama: Barann B, Beverungen D, Müller O. An open-data approach for quantifying the potential of taxi ridesharing. Decision Support Systems. 2017;99(July 2017):86-95. doi:10.1016/j.dss.2017.05.008 apa: Barann, B., Beverungen, D., & Müller, O. (2017). An open-data approach for quantifying the potential of taxi ridesharing. Decision Support Systems, 99(July 2017), 86–95. https://doi.org/10.1016/j.dss.2017.05.008 bibtex: '@article{Barann_Beverungen_Müller_2017, title={An open-data approach for quantifying the potential of taxi ridesharing}, volume={99}, DOI={10.1016/j.dss.2017.05.008}, number={July 2017}, journal={Decision Support Systems}, publisher={Elsevier}, author={Barann, Benjamin and Beverungen, Daniel and Müller, Oliver}, year={2017}, pages={86–95} }' chicago: 'Barann, Benjamin, Daniel Beverungen, and Oliver Müller. “An Open-Data Approach for Quantifying the Potential of Taxi Ridesharing.” Decision Support Systems 99, no. July 2017 (2017): 86–95. https://doi.org/10.1016/j.dss.2017.05.008.' ieee: 'B. Barann, D. Beverungen, and O. Müller, “An open-data approach for quantifying the potential of taxi ridesharing,” Decision Support Systems, vol. 99, no. July 2017, pp. 86–95, 2017, doi: 10.1016/j.dss.2017.05.008.' mla: Barann, Benjamin, et al. “An Open-Data Approach for Quantifying the Potential of Taxi Ridesharing.” Decision Support Systems, vol. 99, no. July 2017, Elsevier, 2017, pp. 86–95, doi:10.1016/j.dss.2017.05.008. short: B. Barann, D. Beverungen, O. Müller, Decision Support Systems 99 (2017) 86–95. date_created: 2018-05-24T08:48:58Z date_updated: 2024-04-18T12:59:57Z department: - _id: '526' doi: 10.1016/j.dss.2017.05.008 intvolume: ' 99' issue: July 2017 keyword: - Taxi ridesharing Collaborative consumption Transportation Open data Sustainability Shared mobility language: - iso: eng page: 86-95 publication: Decision Support Systems publication_status: published publisher: Elsevier quality_controlled: '1' status: public title: An open-data approach for quantifying the potential of taxi ridesharing type: journal_article user_id: '59677' volume: 99 year: '2017' ... --- _id: '4689' author: - first_name: Oliver full_name: Müller, Oliver id: '72849' last_name: Müller - first_name: Iris full_name: Junglas, Iris last_name: Junglas - first_name: Jan full_name: vom Brocke, Jan last_name: vom Brocke - first_name: Stefan full_name: Debortoli, Stefan last_name: Debortoli citation: ama: 'Müller O, Junglas I, vom Brocke J, Debortoli S. Utilizing big data analytics for information systems research: Challenges, promises and guidelines. European Journal of Information Systems. 2016;(4):289--302. doi:10.1057/ejis.2016.2' apa: 'Müller, O., Junglas, I., vom Brocke, J., & Debortoli, S. (2016). Utilizing big data analytics for information systems research: Challenges, promises and guidelines. European Journal of Information Systems, (4), 289--302. https://doi.org/10.1057/ejis.2016.2' bibtex: '@article{Müller_Junglas_vom Brocke_Debortoli_2016, title={Utilizing big data analytics for information systems research: Challenges, promises and guidelines}, DOI={10.1057/ejis.2016.2}, number={4}, journal={European Journal of Information Systems}, author={Müller, Oliver and Junglas, Iris and vom Brocke, Jan and Debortoli, Stefan}, year={2016}, pages={289--302} }' chicago: 'Müller, Oliver, Iris Junglas, Jan vom Brocke, and Stefan Debortoli. “Utilizing Big Data Analytics for Information Systems Research: Challenges, Promises and Guidelines.” European Journal of Information Systems, no. 4 (2016): 289--302. https://doi.org/10.1057/ejis.2016.2.' ieee: 'O. Müller, I. Junglas, J. vom Brocke, and S. Debortoli, “Utilizing big data analytics for information systems research: Challenges, promises and guidelines,” European Journal of Information Systems, no. 4, pp. 289--302, 2016.' mla: 'Müller, Oliver, et al. “Utilizing Big Data Analytics for Information Systems Research: Challenges, Promises and Guidelines.” European Journal of Information Systems, no. 4, 2016, pp. 289--302, doi:10.1057/ejis.2016.2.' short: O. Müller, I. Junglas, J. vom Brocke, S. Debortoli, European Journal of Information Systems (2016) 289--302. date_created: 2018-10-12T08:29:46Z date_updated: 2022-01-06T07:01:18Z doi: 10.1057/ejis.2016.2 extern: '1' issue: '4' keyword: - analytics - big data - data source - information systems research - methodology language: - iso: eng page: 289--302 publication: European Journal of Information Systems publication_identifier: isbn: - 0960-085X issn: - '14769344' status: public title: 'Utilizing big data analytics for information systems research: Challenges, promises and guidelines' type: journal_article user_id: '72849' year: '2016' ... --- _id: '9947' abstract: - lang: eng text: This paper presents a comparison of a number of prognostic methods with regard to algorithm complexity and performance based on prognostic metrics. This information serves as a guide for selection and design of prognostic systems for real-time condition monitoring of technical systems. The methods are evaluated on ability to estimate the remaining useful life of rolling element bearing. Run-to failure vibration and temperature data is used in the analysis. The sampled prognostic methods include wear-temperature correlation method, health state estimation using temperature measurement, a multi-model particle filter approach with model parameter adaptation utilizing temperature measurements, prognostics through health state estimation and mapping extracted features to the remaining useful life through regression approach. Although the performance of the methods utilizing the vibration measurements is much better than the methods using temperature measurements, the methods using temperature measurements are quite promising in terms of reducing the overall cost of the condition monitoring system as well as the computational time. An ensemble of the presented methods through weighted average is also introduced. The results show that the methods are able to estimate the remaining useful life within error bounds of +-15\%, which can be further reduced to +-5\% with the ensemble approach. author: - first_name: James Kuria full_name: Kimotho, James Kuria last_name: Kimotho - first_name: Walter full_name: Sextro, Walter id: '21220' last_name: Sextro citation: ama: 'Kimotho JK, Sextro W. Comparison and ensemble of temperature-based and vibration-based methods for machinery prognostics. In: Annual Conference of the Prognostics and Health Management Society 2015. Vol 6. ; 2015.' apa: Kimotho, J. K., & Sextro, W. (2015). Comparison and ensemble of temperature-based and vibration-based methods for machinery prognostics. In Annual Conference of the Prognostics and Health Management Society 2015 (Vol. 6). bibtex: '@inproceedings{Kimotho_Sextro_2015, title={Comparison and ensemble of temperature-based and vibration-based methods for machinery prognostics}, volume={6}, booktitle={Annual Conference of the Prognostics and Health Management Society 2015}, author={Kimotho, James Kuria and Sextro, Walter}, year={2015} }' chicago: Kimotho, James Kuria, and Walter Sextro. “Comparison and Ensemble of Temperature-Based and Vibration-Based Methods for Machinery Prognostics.” In Annual Conference of the Prognostics and Health Management Society 2015, Vol. 6, 2015. ieee: J. K. Kimotho and W. Sextro, “Comparison and ensemble of temperature-based and vibration-based methods for machinery prognostics,” in Annual Conference of the Prognostics and Health Management Society 2015, 2015, vol. 6. mla: Kimotho, James Kuria, and Walter Sextro. “Comparison and Ensemble of Temperature-Based and Vibration-Based Methods for Machinery Prognostics.” Annual Conference of the Prognostics and Health Management Society 2015, vol. 6, 2015. short: 'J.K. Kimotho, W. Sextro, in: Annual Conference of the Prognostics and Health Management Society 2015, 2015.' date_created: 2019-05-27T08:24:50Z date_updated: 2019-05-27T08:25:44Z department: - _id: '151' intvolume: ' 6' keyword: - ensemble methods - combined prognostics - data fusion language: - iso: eng publication: Annual Conference of the Prognostics and Health Management Society 2015 status: public title: Comparison and ensemble of temperature-based and vibration-based methods for machinery prognostics type: conference user_id: '55222' volume: 6 year: '2015' ... --- _id: '1137' abstract: - lang: eng text: In this paper, we present a system which makes scientific data available following the linked open data principle using standards like RDF and URI as well as the popular D2R server (D2R) and the customizable D2RQ mapping language. Our scientific data sets include acronym data and expansions, as well as researcher data such as author name, affiliation, coauthors, and abstracts. The system can easily be extended to other records. Regarding this, a domain adaptation to patent mining seems possible. For this reason, obvious similarities and differences are presented here. The data set is collected from several different providers like publishing houses and digital libraries, which follow different standards in data format and structure. Most of them are not supporting semantic web technologies, but the legacy HTML standard. The integration of these large amounts of scientific data into the Semantic Web is challenging and it needs flexible data structures to access this information and interlink them. Based on these data sets, we will be able to derive a general technology trend as well as the individual research domain for each researcher. The goal of our Linked Open Data System for scientific data is to provide access to this data set for other researchers using the Web of Linked Data. Furthermore we implemented an application for visualization, which allows usto explorethe relations between single data sets. author: - first_name: Frederik Simon full_name: Bäumer, Frederik Simon id: '38837' last_name: Bäumer - first_name: Jangwon full_name: Gim, Jangwon last_name: Gim - first_name: Do-Heon full_name: Jeong, Do-Heon last_name: Jeong - 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 citation: ama: 'Bäumer FS, Gim J, Jeong D-H, Geierhos M, Jung H. Linked Open Data System for Scientific Data Sets. In: Jung H, Mandl T, Womsen-Hacker C, Xu S, eds. Proceedings of the First International Workshop on Patent Mining and Its Applications (IPaMin 2014) Co-Located with Konvens 2014. Vol 1292. CEUR Workshop Proceedings. CEUR-WS.org; 2014.' apa: 'Bäumer, F. S., Gim, J., Jeong, D.-H., Geierhos, M., & Jung, H. (2014). Linked Open Data System for Scientific Data Sets. In H. Jung, T. Mandl, C. Womsen-Hacker, & S. Xu (Eds.), Proceedings of the First International Workshop on Patent Mining and Its Applications (IPaMin 2014) co-located with Konvens 2014 (Vol. 1292). Hildesheim, Germany: CEUR-WS.org.' bibtex: '@inproceedings{Bäumer_Gim_Jeong_Geierhos_Jung_2014, series={CEUR Workshop Proceedings}, title={Linked Open Data System for Scientific Data Sets}, volume={1292}, booktitle={Proceedings of the First International Workshop on Patent Mining and Its Applications (IPaMin 2014) co-located with Konvens 2014}, publisher={CEUR-WS.org}, author={Bäumer, Frederik Simon and Gim, Jangwon and Jeong, Do-Heon and Geierhos, Michaela and Jung, Hanmin}, editor={Jung, Hanmin and Mandl, Thomas and Womsen-Hacker, Christa and Xu, ShuoEditors}, year={2014}, collection={CEUR Workshop Proceedings} }' chicago: Bäumer, Frederik Simon, Jangwon Gim, Do-Heon Jeong, Michaela Geierhos, and Hanmin Jung. “Linked Open Data System for Scientific Data Sets.” In Proceedings of the First International Workshop on Patent Mining and Its Applications (IPaMin 2014) Co-Located with Konvens 2014, edited by Hanmin Jung, Thomas Mandl, Christa Womsen-Hacker, and Shuo Xu, Vol. 1292. CEUR Workshop Proceedings. CEUR-WS.org, 2014. ieee: F. S. Bäumer, J. Gim, D.-H. Jeong, M. Geierhos, and H. Jung, “Linked Open Data System for Scientific Data Sets,” in Proceedings of the First International Workshop on Patent Mining and Its Applications (IPaMin 2014) co-located with Konvens 2014, Hildesheim, Germany, 2014, vol. 1292. mla: Bäumer, Frederik Simon, et al. “Linked Open Data System for Scientific Data Sets.” Proceedings of the First International Workshop on Patent Mining and Its Applications (IPaMin 2014) Co-Located with Konvens 2014, edited by Hanmin Jung et al., vol. 1292, CEUR-WS.org, 2014. short: 'F.S. Bäumer, J. Gim, D.-H. Jeong, M. Geierhos, H. Jung, in: H. Jung, T. Mandl, C. Womsen-Hacker, S. Xu (Eds.), Proceedings of the First International Workshop on Patent Mining and Its Applications (IPaMin 2014) Co-Located with Konvens 2014, CEUR-WS.org, 2014.' conference: end_date: 2014-10-07 location: Hildesheim, Germany name: First International Workshop on Patent Mining and Its Applications (IPaMin 2014) start_date: 2014-10-06 date_created: 2018-01-30T16:03:51Z date_updated: 2022-01-06T06:51:00Z department: - _id: '36' - _id: '1' - _id: '579' editor: - first_name: Hanmin full_name: Jung, Hanmin last_name: Jung - first_name: Thomas full_name: Mandl, Thomas last_name: Mandl - first_name: Christa full_name: Womsen-Hacker, Christa last_name: Womsen-Hacker - first_name: Shuo full_name: Xu, Shuo last_name: Xu intvolume: ' 1292' keyword: - Linked Open Data - Researcher Data - Acronym Data - D2R language: - iso: eng main_file_link: - open_access: '1' url: http://ceur-ws.org/Vol-1292/ipamin2014_paper2.pdf oa: '1' publication: Proceedings of the First International Workshop on Patent Mining and Its Applications (IPaMin 2014) co-located with Konvens 2014 publication_identifier: issn: - '16130073' publication_status: published publisher: CEUR-WS.org quality_controlled: '1' series_title: CEUR Workshop Proceedings status: public title: Linked Open Data System for Scientific Data Sets type: conference user_id: '42496' volume: 1292 year: '2014' ... --- _id: '17661' author: - first_name: Thomas C. full_name: King, Thomas C. last_name: King - first_name: Qingzhi full_name: Liu, Qingzhi last_name: Liu - first_name: Gleb full_name: Polevoy, Gleb id: '83983' last_name: Polevoy - first_name: Mathijs full_name: de Weerdt, Mathijs last_name: de Weerdt - first_name: Virginia full_name: Dignum, Virginia last_name: Dignum - first_name: M. Birna full_name: van Riemsdijk, M. Birna last_name: van Riemsdijk - first_name: Martijn full_name: Warnier, Martijn last_name: Warnier citation: ama: 'King TC, Liu Q, Polevoy G, et al. Request Driven Social Sensing. In: Proceedings of the 2014 International Conference on Autonomous Agents and Multi-Agent Systems. AAMAS ’14. Richland, SC: International Foundation for Autonomous Agents and Multiagent Systems; 2014:1651-1652.' apa: 'King, T. C., Liu, Q., Polevoy, G., de Weerdt, M., Dignum, V., van Riemsdijk, M. B., & Warnier, M. (2014). Request Driven Social Sensing. In Proceedings of the 2014 International Conference on Autonomous Agents and Multi-agent Systems (pp. 1651–1652). Richland, SC: International Foundation for Autonomous Agents and Multiagent Systems.' bibtex: '@inproceedings{King_Liu_Polevoy_de Weerdt_Dignum_van Riemsdijk_Warnier_2014, place={Richland, SC}, series={AAMAS ’14}, title={Request Driven Social Sensing}, booktitle={Proceedings of the 2014 International Conference on Autonomous Agents and Multi-agent Systems}, publisher={International Foundation for Autonomous Agents and Multiagent Systems}, author={King, Thomas C. and Liu, Qingzhi and Polevoy, Gleb and de Weerdt, Mathijs and Dignum, Virginia and van Riemsdijk, M. Birna and Warnier, Martijn}, year={2014}, pages={1651–1652}, collection={AAMAS ’14} }' chicago: 'King, Thomas C., Qingzhi Liu, Gleb Polevoy, Mathijs de Weerdt, Virginia Dignum, M. Birna van Riemsdijk, and Martijn Warnier. “Request Driven Social Sensing.” In Proceedings of the 2014 International Conference on Autonomous Agents and Multi-Agent Systems, 1651–52. AAMAS ’14. Richland, SC: International Foundation for Autonomous Agents and Multiagent Systems, 2014.' ieee: T. C. King et al., “Request Driven Social Sensing,” in Proceedings of the 2014 International Conference on Autonomous Agents and Multi-agent Systems, 2014, pp. 1651–1652. mla: King, Thomas C., et al. “Request Driven Social Sensing.” Proceedings of the 2014 International Conference on Autonomous Agents and Multi-Agent Systems, International Foundation for Autonomous Agents and Multiagent Systems, 2014, pp. 1651–52. short: 'T.C. King, Q. Liu, G. Polevoy, M. de Weerdt, V. Dignum, M.B. van Riemsdijk, M. Warnier, in: Proceedings of the 2014 International Conference on Autonomous Agents and Multi-Agent Systems, International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 2014, pp. 1651–1652.' date_created: 2020-08-06T15:21:45Z date_updated: 2022-01-06T06:53:16Z department: - _id: '63' - _id: '541' extern: '1' keyword: - crowd-sensing - crowdsourcing - data aggregation - game theory - norms - reciprocation - self interested agents - simulation language: - iso: eng page: 1651-1652 place: Richland, SC publication: Proceedings of the 2014 International Conference on Autonomous Agents and Multi-agent Systems publication_identifier: isbn: - 978-1-4503-2738-1 publisher: International Foundation for Autonomous Agents and Multiagent Systems series_title: AAMAS '14 status: public title: Request Driven Social Sensing type: conference user_id: '83983' year: '2014' ... --- _id: '4695' author: - first_name: Stefan full_name: Debortoli, Stefan last_name: Debortoli - first_name: Oliver full_name: Müller, Oliver id: '72849' last_name: Müller - first_name: Jan full_name: vom Brocke, Jan last_name: vom Brocke citation: ama: 'Debortoli S, Müller O, vom Brocke J. Comparing business intelligence and big data skills: A text mining study using job advertisements. Business and Information Systems Engineering. 2014;(5):289--300. doi:10.1007/s12599-014-0344-2' apa: 'Debortoli, S., Müller, O., & vom Brocke, J. (2014). Comparing business intelligence and big data skills: A text mining study using job advertisements. Business and Information Systems Engineering, (5), 289--300. https://doi.org/10.1007/s12599-014-0344-2' bibtex: '@article{Debortoli_Müller_vom Brocke_2014, title={Comparing business intelligence and big data skills: A text mining study using job advertisements}, DOI={10.1007/s12599-014-0344-2}, number={5}, journal={Business and Information Systems Engineering}, author={Debortoli, Stefan and Müller, Oliver and vom Brocke, Jan}, year={2014}, pages={289--300} }' chicago: 'Debortoli, Stefan, Oliver Müller, and Jan vom Brocke. “Comparing Business Intelligence and Big Data Skills: A Text Mining Study Using Job Advertisements.” Business and Information Systems Engineering, no. 5 (2014): 289--300. https://doi.org/10.1007/s12599-014-0344-2.' ieee: 'S. Debortoli, O. Müller, and J. vom Brocke, “Comparing business intelligence and big data skills: A text mining study using job advertisements,” Business and Information Systems Engineering, no. 5, pp. 289--300, 2014.' mla: 'Debortoli, Stefan, et al. “Comparing Business Intelligence and Big Data Skills: A Text Mining Study Using Job Advertisements.” Business and Information Systems Engineering, no. 5, 2014, pp. 289--300, doi:10.1007/s12599-014-0344-2.' short: S. Debortoli, O. Müller, J. vom Brocke, Business and Information Systems Engineering (2014) 289--300. date_created: 2018-10-12T08:30:31Z date_updated: 2022-01-06T07:01:18Z doi: 10.1007/s12599-014-0344-2 extern: '1' issue: '5' keyword: - Big data - Business intelligence - Competencies - Latent semantic analysis - Text mining language: - iso: eng page: 289--300 publication: Business and Information Systems Engineering publication_identifier: isbn: - 0910-8327 (Print)$\backslash$n0910-8327 (Linking) issn: - '18670202' status: public title: 'Comparing business intelligence and big data skills: A text mining study using job advertisements' type: journal_article user_id: '72849' year: '2014' ... --- _id: '4696' author: - first_name: Jan full_name: vom Brocke, Jan last_name: vom Brocke - first_name: Stefan full_name: Debortoli, Stefan last_name: Debortoli - first_name: Nadine full_name: Reuter, Nadine last_name: Reuter - first_name: Oliver full_name: Müller, Oliver id: '72849' last_name: Müller citation: ama: 'vom Brocke J, Debortoli S, Reuter N, Müller O. How In-Memory Technology Can Create Business Value: Lessons Learned from Hilti. Communications of the Association for Information Systems. 2014:151--167. doi:10.17705/1CAIS.03407' apa: 'vom Brocke, J., Debortoli, S., Reuter, N., & Müller, O. (2014). How In-Memory Technology Can Create Business Value: Lessons Learned from Hilti. Communications of the Association for Information Systems, 151--167. https://doi.org/10.17705/1CAIS.03407' bibtex: '@article{vom Brocke_Debortoli_Reuter_Müller_2014, title={How In-Memory Technology Can Create Business Value: Lessons Learned from Hilti}, DOI={10.17705/1CAIS.03407}, journal={Communications of the Association for Information Systems}, author={vom Brocke, Jan and Debortoli, Stefan and Reuter, Nadine and Müller, Oliver}, year={2014}, pages={151--167} }' chicago: 'Brocke, Jan vom, Stefan Debortoli, Nadine Reuter, and Oliver Müller. “How In-Memory Technology Can Create Business Value: Lessons Learned from Hilti.” Communications of the Association for Information Systems, 2014, 151--167. https://doi.org/10.17705/1CAIS.03407.' ieee: 'J. vom Brocke, S. Debortoli, N. Reuter, and O. Müller, “How In-Memory Technology Can Create Business Value: Lessons Learned from Hilti,” Communications of the Association for Information Systems, pp. 151--167, 2014.' mla: 'vom Brocke, Jan, et al. “How In-Memory Technology Can Create Business Value: Lessons Learned from Hilti.” Communications of the Association for Information Systems, 2014, pp. 151--167, doi:10.17705/1CAIS.03407.' short: J. vom Brocke, S. Debortoli, N. Reuter, O. Müller, Communications of the Association for Information Systems (2014) 151--167. date_created: 2018-10-12T08:30:38Z date_updated: 2022-01-06T07:01:18Z doi: 10.17705/1CAIS.03407 extern: '1' keyword: - Advanced business analytics - Big Data - Business intelligence - IT business value - In-memory technology - OLAP - OLTP - Realtime analytics - Sentiment analysis language: - iso: eng page: 151--167 publication: Communications of the Association for Information Systems publication_identifier: issn: - '15293181' status: public title: 'How In-Memory Technology Can Create Business Value: Lessons Learned from Hilti' type: journal_article user_id: '72849' year: '2014' ... --- _id: '9879' abstract: - lang: eng text: Application of prognostics and health management (PHM) in the field of Proton Exchange Membrane (PEM) fuel cells is emerging as an important tool in increasing the reliability and availability of these systems. Though a lot of work is currently being conducted to develop PHM systems for fuel cells, various challenges have been encountered including the self-healing effect after characterization as well as accelerated degradation due to dynamic loading, all which make RUL predictions a difficult task. In this study, a prognostic approach based on adaptive particle filter algorithm is proposed. The novelty of the proposed method lies in the introduction of a self-healing factor after each characterization and the adaption of the degradation model parameters to fit to the changing degradation trend. An ensemble of five different state models based on weighted mean is then developed. The results show that the method is effective in estimating the remaining useful life of PEM fuel cells, with majority of the predictions falling within 5\% error. The method was employed in the IEEE 2014 PHM Data Challenge and led to our team emerging the winner of the RUL category of the challenge. author: - first_name: 'James Kuria ' full_name: 'Kimotho, James Kuria ' last_name: Kimotho - first_name: Tobias full_name: Meyer, Tobias last_name: Meyer - first_name: Walter full_name: Sextro, Walter id: '21220' last_name: Sextro citation: ama: 'Kimotho JK, Meyer T, Sextro W. PEM fuel cell prognostics using particle filter with model parameter adaptation. In: Prognostics and Health Management (PHM), 2014 IEEE Conference On. ; 2014:1-6. doi:10.1109/ICPHM.2014.7036406' apa: Kimotho, J. K., Meyer, T., & Sextro, W. (2014). PEM fuel cell prognostics using particle filter with model parameter adaptation. In Prognostics and Health Management (PHM), 2014 IEEE Conference on (pp. 1–6). https://doi.org/10.1109/ICPHM.2014.7036406 bibtex: '@inproceedings{Kimotho_Meyer_Sextro_2014, title={PEM fuel cell prognostics using particle filter with model parameter adaptation}, DOI={10.1109/ICPHM.2014.7036406}, booktitle={Prognostics and Health Management (PHM), 2014 IEEE Conference on}, author={Kimotho, James Kuria and Meyer, Tobias and Sextro, Walter}, year={2014}, pages={1–6} }' chicago: Kimotho, James Kuria , Tobias Meyer, and Walter Sextro. “PEM Fuel Cell Prognostics Using Particle Filter with Model Parameter Adaptation.” In Prognostics and Health Management (PHM), 2014 IEEE Conference On, 1–6, 2014. https://doi.org/10.1109/ICPHM.2014.7036406. ieee: J. K. Kimotho, T. Meyer, and W. Sextro, “PEM fuel cell prognostics using particle filter with model parameter adaptation,” in Prognostics and Health Management (PHM), 2014 IEEE Conference on, 2014, pp. 1–6. mla: Kimotho, James Kuria, et al. “PEM Fuel Cell Prognostics Using Particle Filter with Model Parameter Adaptation.” Prognostics and Health Management (PHM), 2014 IEEE Conference On, 2014, pp. 1–6, doi:10.1109/ICPHM.2014.7036406. short: 'J.K. Kimotho, T. Meyer, W. Sextro, in: Prognostics and Health Management (PHM), 2014 IEEE Conference On, 2014, pp. 1–6.' date_created: 2019-05-20T13:11:02Z date_updated: 2019-05-20T13:12:27Z department: - _id: '151' doi: 10.1109/ICPHM.2014.7036406 keyword: - ageing - particle filtering (numerical methods) - proton exchange membrane fuel cells - remaining life assessment - PEM fuel cell prognostics - PHM - RUL predictions - accelerated degradation - adaptive particle filter algorithm - dynamic loading - model parameter adaptation - prognostics and health management - proton exchange membrane fuel cells - remaining useful life estimation - self-healing effect - Adaptation models - Data models - Degradation - Estimation - Fuel cells - Mathematical model - Prognostics and health management language: - iso: eng page: 1-6 publication: Prognostics and Health Management (PHM), 2014 IEEE Conference on status: public title: PEM fuel cell prognostics using particle filter with model parameter adaptation type: conference user_id: '55222' year: '2014' ... --- _id: '4480' abstract: - lang: eng text: "The proposed paper aims to investigate the longitudinal development of students' motivation over the first year of their studies at a business school by using latent growth curve modeling. The study tackles the following core research questions: How do first-year university students' intrinsic and extrinsic vary over time? Which (motivational) factors are related to students' motivational development? Although motivational dispositions have been analyzed extensively in previous studies, their longitudinal development has hitherto not been examined in the higher education context.\r\n\r\nThis longitudinal study is conducted at the University of St. Gallen in Switzerland. The current sample includes 280 first-year students who have been surveyed three times and who are representative of the first-year student population.\r\n\r\nDescriptive results show that prior to their studies, students were motivated most by intrinsic factors, however, extrinsic motivation was also quite high. Employing latent growth curve modeling, it could be shown that both intrinsic and extrinsic motivation decline significantly over the course of the first year (8 months).\r\n\r\nThe study contributes to motivation theory by providing further insights into the development of academic motivation over time. Latent growth curve modeling as a method can be well used for longitudinal data analysis, thus, excluding measurement error from longitudinal data. Furthermore, the study supports educational developers by determining factors influencing students' motivational development." author: - first_name: Taiga full_name: Brahm, Taiga last_name: Brahm - first_name: Tobias full_name: Jenert, Tobias id: '71994' last_name: Jenert orcid: ' https://orcid.org/0000-0001-9262-5646' citation: ama: 'Brahm T, Jenert T. A latent growth curve analysis of Business students’ intrinsic and extrinsic motivation. In: EARLI European Association for Research on Learning and Instruction; 2013.' apa: 'Brahm, T., & Jenert, T. (2013). A latent growth curve analysis of Business students’ intrinsic and extrinsic motivation. Presented at the 15th Biennial EARLI Conference, München: EARLI European Association for Research on Learning and Instruction.' bibtex: '@inproceedings{Brahm_Jenert_2013, title={A latent growth curve analysis of Business students’ intrinsic and extrinsic motivation}, publisher={EARLI European Association for Research on Learning and Instruction}, author={Brahm, Taiga and Jenert, Tobias}, year={2013} }' chicago: Brahm, Taiga, and Tobias Jenert. “A Latent Growth Curve Analysis of Business Students’ Intrinsic and Extrinsic Motivation.” EARLI European Association for Research on Learning and Instruction, 2013. ieee: T. Brahm and T. Jenert, “A latent growth curve analysis of Business students’ intrinsic and extrinsic motivation,” presented at the 15th Biennial EARLI Conference, München, 2013. mla: Brahm, Taiga, and Tobias Jenert. A Latent Growth Curve Analysis of Business Students’ Intrinsic and Extrinsic Motivation. EARLI European Association for Research on Learning and Instruction, 2013. short: 'T. Brahm, T. Jenert, in: EARLI European Association for Research on Learning and Instruction, 2013.' conference: end_date: 2013-08-31 location: München name: 15th Biennial EARLI Conference start_date: 2013-08-27 date_created: 2018-09-19T08:27:05Z date_updated: 2022-01-06T07:01:06Z department: - _id: '208' - _id: '282' extern: '1' keyword: - motivation - intrinsic motivation - extrinsic motivation - latent growth curve modeling - longitudinal data analysis - ASEQ - higher education - studying publisher: EARLI European Association for Research on Learning and Instruction status: public title: A latent growth curve analysis of Business students' intrinsic and extrinsic motivation type: conference user_id: '51057' year: '2013' ...