[{"issue":"18","publication":"Applied Sciences","abstract":[{"text":"Due to the rise of continuous data-generating applications, analyzing data streams has gained increasing attention over the past decades. A core research area in stream data is stream classification, which categorizes or detects data points within an evolving stream of observations. Areas of stream classification are diverse\\textemdash ranging, e.g., from monitoring sensor data to analyzing a wide range of (social) media applications. Research in stream classification is related to developing methods that adapt to the changing and potentially volatile data stream. It focuses on individual aspects of the stream classification pipeline, e.g., designing suitable algorithm architectures, an efficient train and test procedure, or detecting so-called concept drifts. As a result of the many different research questions and strands, the field is challenging to grasp, especially for beginners. This survey explores, summarizes, and categorizes work within the domain of stream classification and identifies core research threads over the past few years. It is structured based on the stream classification process to facilitate coordination within this complex topic, including common application scenarios and benchmarking data sets. Thus, both newcomers to the field and experts who want to widen their scope can gain (additional) insight into this research area and find starting points and pointers to more in-depth literature on specific issues and research directions in the field.","lang":"eng"}],"date_created":"2023-11-14T15:58:57Z","keyword":["big data","data mining","data stream analysis","machine learning","stream classification","supervised learning"],"type":"journal_article","department":[{"_id":"819"}],"year":"2022","title":"Process-Oriented Stream Classification Pipeline: A Literature Review","author":[{"last_name":"Clever","first_name":"Lena","full_name":"Clever, Lena"},{"full_name":"Pohl, Janina Susanne","first_name":"Janina Susanne","last_name":"Pohl"},{"id":"102979","last_name":"Bossek","orcid":"0000-0002-4121-4668","first_name":"Jakob","full_name":"Bossek, Jakob"},{"full_name":"Kerschke, Pascal","last_name":"Kerschke","first_name":"Pascal"},{"first_name":"Heike","last_name":"Trautmann","full_name":"Trautmann, Heike"}],"publication_identifier":{"issn":["2076-3417"]},"date_updated":"2023-12-13T10:50:56Z","intvolume":"        12","language":[{"iso":"eng"}],"doi":"10.3390/app12189094","citation":{"ieee":"L. Clever, J. S. Pohl, J. Bossek, P. Kerschke, and H. Trautmann, “Process-Oriented Stream Classification Pipeline: A Literature Review,” <i>Applied Sciences</i>, vol. 12, no. 18, p. 9094, 2022, doi: <a href=\"https://doi.org/10.3390/app12189094\">10.3390/app12189094</a>.","apa":"Clever, L., Pohl, J. S., Bossek, J., Kerschke, P., &#38; Trautmann, H. (2022). Process-Oriented Stream Classification Pipeline: A Literature Review. <i>Applied Sciences</i>, <i>12</i>(18), 9094. <a href=\"https://doi.org/10.3390/app12189094\">https://doi.org/10.3390/app12189094</a>","chicago":"Clever, Lena, Janina Susanne Pohl, Jakob Bossek, Pascal Kerschke, and Heike Trautmann. “Process-Oriented Stream Classification Pipeline: A Literature Review.” <i>Applied Sciences</i> 12, no. 18 (2022): 9094. <a href=\"https://doi.org/10.3390/app12189094\">https://doi.org/10.3390/app12189094</a>.","short":"L. Clever, J.S. Pohl, J. Bossek, P. Kerschke, H. Trautmann, Applied Sciences 12 (2022) 9094.","mla":"Clever, Lena, et al. “Process-Oriented Stream Classification Pipeline: A Literature Review.” <i>Applied Sciences</i>, vol. 12, no. 18, {Multidisciplinary Digital Publishing Institute}, 2022, p. 9094, doi:<a href=\"https://doi.org/10.3390/app12189094\">10.3390/app12189094</a>.","bibtex":"@article{Clever_Pohl_Bossek_Kerschke_Trautmann_2022, title={Process-Oriented Stream Classification Pipeline: A Literature Review}, volume={12}, DOI={<a href=\"https://doi.org/10.3390/app12189094\">10.3390/app12189094</a>}, number={18}, journal={Applied Sciences}, publisher={{Multidisciplinary Digital Publishing Institute}}, author={Clever, Lena and Pohl, Janina Susanne and Bossek, Jakob and Kerschke, Pascal and Trautmann, Heike}, year={2022}, pages={9094} }","ama":"Clever L, Pohl JS, Bossek J, Kerschke P, Trautmann H. Process-Oriented Stream Classification Pipeline: A Literature Review. <i>Applied Sciences</i>. 2022;12(18):9094. doi:<a href=\"https://doi.org/10.3390/app12189094\">10.3390/app12189094</a>"},"status":"public","page":"9094","publisher":"{Multidisciplinary Digital Publishing Institute}","_id":"48878","user_id":"102979","volume":12},{"quality_controlled":"1","file_date_updated":"2024-04-18T12:35:42Z","citation":{"mla":"Beverungen, Daniel, et al. “From Private Digital Platforms to Public Data Spaces: Implications for the Digital Transformation.” <i>Electronic Markets</i>, vol. 32, Springer Science and Business Media LLC, 2022, pp. 493–501, doi:<a href=\"https://doi.org/10.1007/s12525-022-00553-z\">10.1007/s12525-022-00553-z</a>.","ama":"Beverungen D, Hess T, Köster A, Lehrer C. From private digital platforms to public data spaces: implications for the digital transformation. <i>Electronic Markets</i>. 2022;32:493-501. doi:<a href=\"https://doi.org/10.1007/s12525-022-00553-z\">10.1007/s12525-022-00553-z</a>","bibtex":"@article{Beverungen_Hess_Köster_Lehrer_2022, title={From private digital platforms to public data spaces: implications for the digital transformation}, volume={32}, DOI={<a href=\"https://doi.org/10.1007/s12525-022-00553-z\">10.1007/s12525-022-00553-z</a>}, journal={Electronic Markets}, publisher={Springer Science and Business Media LLC}, author={Beverungen, Daniel and Hess, Thomas and Köster, Antonia and Lehrer, Christiane}, year={2022}, pages={493–501} }","apa":"Beverungen, D., Hess, T., Köster, A., &#38; Lehrer, C. (2022). From private digital platforms to public data spaces: implications for the digital transformation. <i>Electronic Markets</i>, <i>32</i>, 493–501. <a href=\"https://doi.org/10.1007/s12525-022-00553-z\">https://doi.org/10.1007/s12525-022-00553-z</a>","ieee":"D. Beverungen, T. Hess, A. Köster, and C. Lehrer, “From private digital platforms to public data spaces: implications for the digital transformation,” <i>Electronic Markets</i>, vol. 32, pp. 493–501, 2022, doi: <a href=\"https://doi.org/10.1007/s12525-022-00553-z\">10.1007/s12525-022-00553-z</a>.","short":"D. Beverungen, T. Hess, A. Köster, C. Lehrer, Electronic Markets 32 (2022) 493–501.","chicago":"Beverungen, Daniel, Thomas Hess, Antonia Köster, and Christiane Lehrer. “From Private Digital Platforms to Public Data Spaces: Implications for the Digital Transformation.” <i>Electronic Markets</i> 32 (2022): 493–501. <a href=\"https://doi.org/10.1007/s12525-022-00553-z\">https://doi.org/10.1007/s12525-022-00553-z</a>."},"has_accepted_license":"1","status":"public","ddc":["380"],"user_id":"59677","volume":32,"page":"493-501","_id":"35728","publisher":"Springer Science and Business Media LLC","abstract":[{"text":"Technological developments such as Cloud Computing, the Internet of Things, Big Data and Artificial Intelligence continue to drive the digital transformation of business and society. With the advent of platform-based ecosystems and their potential to address complex challenges, there is a trend towards greater interconnectedness between different stakeholders to co-create services based on the provision and use of data. While previous research on digital transformation mainly focused on digital transformation within organizations, it is of growing importance to understand the implications for digital transformation on different layers (e.g., interorganizational cooperation and platform ecosystems). In particular, the conceptualization and implications of public data spaces and related ecosystems provide promising research opportunities. This special issue contains five papers on the topic of digital transformation and, with the editorial, further contributes by providing an initial conceptualization of public data spaces' potential to foster innovative progress and digital transformation from a management perspective.","lang":"eng"}],"publication":"Electronic Markets","keyword":["Digital transformation","Public data spaces","Digital platforms","GAIA-X"],"type":"journal_article","department":[{"_id":"526"}],"file":[{"date_created":"2024-04-18T12:35:42Z","creator":"dabe","file_id":"53572","content_type":"application/pdf","success":1,"relation":"main_file","date_updated":"2024-04-18T12:35:42Z","file_name":"EM - From Private Platforms o Pubic Data Spaces.pdf","file_size":861383,"access_level":"closed"}],"date_created":"2023-01-10T09:52:01Z","date_updated":"2024-04-18T12:37:41Z","publication_status":"published","intvolume":"        32","article_type":"letter_note","year":"2022","title":"From private digital platforms to public data spaces: implications for the digital transformation","publication_identifier":{"issn":["1019-6781","1422-8890"]},"author":[{"id":"59677","full_name":"Beverungen, Daniel","last_name":"Beverungen","first_name":"Daniel"},{"full_name":"Hess, Thomas","first_name":"Thomas","last_name":"Hess"},{"full_name":"Köster, Antonia","last_name":"Köster","first_name":"Antonia"},{"full_name":"Lehrer, Christiane","last_name":"Lehrer","first_name":"Christiane"}],"doi":"10.1007/s12525-022-00553-z","language":[{"iso":"eng"}]},{"publication":"Electronic Markets","abstract":[{"lang":"eng","text":"While the Information Systems (IS) discipline has researched digital platforms extensively, the body of knowledge appertaining to platforms still appears fragmented and lacking conceptual consistency. Based on automated text mining and unsupervised machine learning, we collect, analyze, and interpret the IS discipline’s comprehensive research on platforms—comprising 11,049 papers spanning 44 years of research activity. From a cluster analysis concerning platform concepts’ semantically most similar words, we identify six research streams on platforms, each with their own platform terms. Based on interpreting the identified concepts vis-à-vis the extant research and considering a temporal perspective on the concepts’ application, we present a lexicon of platform concepts, to guide further research on platforms in the IS discipline. Researchers and managers can build on our results to position their work appropriately, applying a specific theoretical perspective on platforms in isolation or combining multiple perspectives to study platform phenomena at a more abstract level."}],"date_created":"2023-01-10T10:00:55Z","file":[{"creator":"dabe","date_created":"2024-04-18T12:39:00Z","access_level":"closed","file_size":1262427,"file_name":"EM - Lexicon of Platform Terms.pdf","date_updated":"2024-04-18T12:39:00Z","relation":"main_file","content_type":"application/pdf","success":1,"file_id":"53573"}],"department":[{"_id":"526"}],"type":"journal_article","keyword":["Platform","Text mining","Machine learning","Data communications","Interpretive research","Systems design and implementation"],"author":[{"full_name":"Bartelheimer, Christian","first_name":"Christian","last_name":"Bartelheimer","id":"49160"},{"id":"64394","full_name":"zur Heiden, Philipp","last_name":"zur Heiden","first_name":"Philipp"},{"last_name":"Lüttenberg","first_name":"Hedda","full_name":"Lüttenberg, Hedda"},{"first_name":"Daniel","last_name":"Beverungen","full_name":"Beverungen, Daniel","id":"59677"}],"publication_identifier":{"issn":["1019-6781","1422-8890"]},"year":"2022","title":"Systematizing the lexicon of platforms in information systems: a data-driven study","article_type":"original","intvolume":"        32","publication_status":"published","date_updated":"2024-04-18T12:40:34Z","language":[{"iso":"eng"}],"doi":"10.1007/s12525-022-00530-6","citation":{"bibtex":"@article{Bartelheimer_zur Heiden_Lüttenberg_Beverungen_2022, title={Systematizing the lexicon of platforms in information systems: a data-driven study}, volume={32}, DOI={<a href=\"https://doi.org/10.1007/s12525-022-00530-6\">10.1007/s12525-022-00530-6</a>}, journal={Electronic Markets}, publisher={Springer Science and Business Media LLC}, author={Bartelheimer, Christian and zur Heiden, Philipp and Lüttenberg, Hedda and Beverungen, Daniel}, year={2022}, pages={375–396} }","ama":"Bartelheimer C, zur Heiden P, Lüttenberg H, Beverungen D. Systematizing the lexicon of platforms in information systems: a data-driven study. <i>Electronic Markets</i>. 2022;32:375-396. doi:<a href=\"https://doi.org/10.1007/s12525-022-00530-6\">10.1007/s12525-022-00530-6</a>","mla":"Bartelheimer, Christian, et al. “Systematizing the Lexicon of Platforms in Information Systems: A Data-Driven Study.” <i>Electronic Markets</i>, vol. 32, Springer Science and Business Media LLC, 2022, pp. 375–96, doi:<a href=\"https://doi.org/10.1007/s12525-022-00530-6\">10.1007/s12525-022-00530-6</a>.","chicago":"Bartelheimer, Christian, Philipp zur Heiden, Hedda Lüttenberg, and Daniel Beverungen. “Systematizing the Lexicon of Platforms in Information Systems: A Data-Driven Study.” <i>Electronic Markets</i> 32 (2022): 375–96. <a href=\"https://doi.org/10.1007/s12525-022-00530-6\">https://doi.org/10.1007/s12525-022-00530-6</a>.","short":"C. Bartelheimer, P. zur Heiden, H. Lüttenberg, D. Beverungen, Electronic Markets 32 (2022) 375–396.","ieee":"C. Bartelheimer, P. zur Heiden, H. Lüttenberg, and D. Beverungen, “Systematizing the lexicon of platforms in information systems: a data-driven study,” <i>Electronic Markets</i>, vol. 32, pp. 375–396, 2022, doi: <a href=\"https://doi.org/10.1007/s12525-022-00530-6\">10.1007/s12525-022-00530-6</a>.","apa":"Bartelheimer, C., zur Heiden, P., Lüttenberg, H., &#38; Beverungen, D. (2022). Systematizing the lexicon of platforms in information systems: a data-driven study. <i>Electronic Markets</i>, <i>32</i>, 375–396. <a href=\"https://doi.org/10.1007/s12525-022-00530-6\">https://doi.org/10.1007/s12525-022-00530-6</a>"},"file_date_updated":"2024-04-18T12:39:00Z","quality_controlled":"1","jel":["L86"],"status":"public","has_accepted_license":"1","_id":"35732","publisher":"Springer Science and Business Media LLC","page":"375-396","volume":32,"user_id":"59677","ddc":["380"]},{"language":[{"iso":"eng"}],"main_file_link":[{"url":"https://arxiv.org/abs/2112.08148","open_access":"1"}],"doi":"10.1109/AIRC56195.2022.9836982","author":[{"id":"43992","last_name":"Götte","first_name":"Ricarda-Samantha","full_name":"Götte, Ricarda-Samantha"},{"full_name":"Timmermann, Julia","first_name":"Julia","last_name":"Timmermann","id":"15402"}],"title":"Composed Physics- and Data-driven System Identification for Non-autonomous Systems in Control Engineering","year":"2022","date_updated":"2024-11-13T08:43:28Z","date_created":"2021-10-19T14:47:17Z","department":[{"_id":"153"},{"_id":"880"}],"type":"conference","keyword":["data-driven","physics-based","physics-informed","neural networks","system identification","hybrid modelling"],"publication":"2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC)","abstract":[{"text":"In control design most control strategies are model-based and require accurate models to be applied successfully. Due to simplifications and the model-reality-gap physics-derived models frequently exhibit deviations from real-world-systems. Likewise, purely data-driven methods often do not generalise well enough and may violate physical laws. Recently Physics-Guided Neural Networks (PGNN) and physics-inspired loss functions separately have shown promising results to conquer these drawbacks. In this contribution we extend existing methods towards the identification of non-autonomous systems and propose a combined approach PGNN-L, which uses a PGNN and a physics-inspired loss term (-L) to successfully identify the system's dynamics, while maintaining the consistency with physical laws. The proposed method is demonstrated on two real-world nonlinear systems and outperforms existing techniques regarding complexity and reliability.","lang":"eng"}],"_id":"26539","page":"67-76","user_id":"43992","conference":{"location":"Cairo, Egypt","name":"3rd International Conference on Artificial Intelligence, Robotics and Control","start_date":"2021-12-08","end_date":"2021-12-10"},"status":"public","oa":"1","citation":{"apa":"Götte, R.-S., &#38; Timmermann, J. (2022). Composed Physics- and Data-driven System Identification for Non-autonomous Systems in Control Engineering. <i>2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC)</i>, 67–76. <a href=\"https://doi.org/10.1109/AIRC56195.2022.9836982\">https://doi.org/10.1109/AIRC56195.2022.9836982</a>","ieee":"R.-S. Götte and J. Timmermann, “Composed Physics- and Data-driven System Identification for Non-autonomous Systems in Control Engineering,” in <i>2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC)</i>, Cairo, Egypt, 2022, pp. 67–76, doi: <a href=\"https://doi.org/10.1109/AIRC56195.2022.9836982\">10.1109/AIRC56195.2022.9836982</a>.","chicago":"Götte, Ricarda-Samantha, and Julia Timmermann. “Composed Physics- and Data-Driven System Identification for Non-Autonomous Systems in Control Engineering.” In <i>2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC)</i>, 67–76, 2022. <a href=\"https://doi.org/10.1109/AIRC56195.2022.9836982\">https://doi.org/10.1109/AIRC56195.2022.9836982</a>.","short":"R.-S. Götte, J. Timmermann, in: 2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC), 2022, pp. 67–76.","mla":"Götte, Ricarda-Samantha, and Julia Timmermann. “Composed Physics- and Data-Driven System Identification for Non-Autonomous Systems in Control Engineering.” <i>2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC)</i>, 2022, pp. 67–76, doi:<a href=\"https://doi.org/10.1109/AIRC56195.2022.9836982\">10.1109/AIRC56195.2022.9836982</a>.","ama":"Götte R-S, Timmermann J. Composed Physics- and Data-driven System Identification for Non-autonomous Systems in Control Engineering. In: <i>2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC)</i>. ; 2022:67-76. doi:<a href=\"https://doi.org/10.1109/AIRC56195.2022.9836982\">10.1109/AIRC56195.2022.9836982</a>","bibtex":"@inproceedings{Götte_Timmermann_2022, title={Composed Physics- and Data-driven System Identification for Non-autonomous Systems in Control Engineering}, DOI={<a href=\"https://doi.org/10.1109/AIRC56195.2022.9836982\">10.1109/AIRC56195.2022.9836982</a>}, booktitle={2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC)}, author={Götte, Ricarda-Samantha and Timmermann, Julia}, year={2022}, pages={67–76} }"},"quality_controlled":"1"},{"quality_controlled":"1","citation":{"mla":"Schön, Oliver, et al. “Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems.” <i>14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022)</i>, vol. 55, no. 12, 2022, pp. 19–24, doi:<a href=\"https://doi.org/10.1016/j.ifacol.2022.07.282\">https://doi.org/10.1016/j.ifacol.2022.07.282</a>.","ama":"Schön O, Götte R-S, Timmermann J. Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems. In: <i>14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022)</i>. Vol 55. ; 2022:19-24. doi:<a href=\"https://doi.org/10.1016/j.ifacol.2022.07.282\">https://doi.org/10.1016/j.ifacol.2022.07.282</a>","bibtex":"@inproceedings{Schön_Götte_Timmermann_2022, title={Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems}, volume={55}, DOI={<a href=\"https://doi.org/10.1016/j.ifacol.2022.07.282\">https://doi.org/10.1016/j.ifacol.2022.07.282</a>}, number={12}, booktitle={14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022)}, author={Schön, Oliver and Götte, Ricarda-Samantha and Timmermann, Julia}, year={2022}, pages={19–24} }","apa":"Schön, O., Götte, R.-S., &#38; Timmermann, J. (2022). Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems. <i>14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022)</i>, <i>55</i>(12), 19–24. <a href=\"https://doi.org/10.1016/j.ifacol.2022.07.282\">https://doi.org/10.1016/j.ifacol.2022.07.282</a>","ieee":"O. Schön, R.-S. Götte, and J. Timmermann, “Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems,” in <i>14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022)</i>, Casablanca, Morocco, 2022, vol. 55, no. 12, pp. 19–24, doi: <a href=\"https://doi.org/10.1016/j.ifacol.2022.07.282\">https://doi.org/10.1016/j.ifacol.2022.07.282</a>.","short":"O. Schön, R.-S. Götte, J. Timmermann, in: 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), 2022, pp. 19–24.","chicago":"Schön, Oliver, Ricarda-Samantha Götte, and Julia Timmermann. “Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems.” In <i>14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022)</i>, 55:19–24, 2022. <a href=\"https://doi.org/10.1016/j.ifacol.2022.07.282\">https://doi.org/10.1016/j.ifacol.2022.07.282</a>."},"user_id":"43992","volume":55,"page":"19-24","_id":"31066","status":"public","conference":{"location":"Casablanca, Morocco","name":"14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022)","start_date":"2022-06-29","end_date":"2022-07-01"},"type":"conference","keyword":["neural networks","physics-guided","data-driven","multi-objective optimization","system identification","machine learning","dynamical systems"],"department":[{"_id":"153"},{"_id":"880"}],"date_created":"2022-05-05T06:22:55Z","abstract":[{"text":"While trade-offs between modeling effort and model accuracy remain a major concern with system identification, resorting to data-driven methods often leads to a complete disregard for physical plausibility. To address this issue, we propose a physics-guided hybrid approach for modeling non-autonomous systems under control. Starting from a traditional physics-based model, this is extended by a recurrent neural network and trained using a sophisticated multi-objective strategy yielding physically plausible models. While purely data-driven methods fail to produce satisfying results, experiments conducted on real data reveal substantial accuracy improvements by our approach compared to a physics-based model. ","lang":"eng"}],"issue":"12","publication":"14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022)","doi":"https://doi.org/10.1016/j.ifacol.2022.07.282","language":[{"iso":"eng"}],"date_updated":"2024-11-13T08:43:16Z","intvolume":"        55","title":"Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems","year":"2022","author":[{"full_name":"Schön, Oliver","first_name":"Oliver","last_name":"Schön"},{"full_name":"Götte, Ricarda-Samantha","first_name":"Ricarda-Samantha","last_name":"Götte","id":"43992"},{"id":"15402","full_name":"Timmermann, Julia","last_name":"Timmermann","first_name":"Julia"}]},{"_id":"22480","publisher":"IEEE","user_id":"38240","conference":{"end_date":"2021-03-12","location":"Valencia, Spain ","name":"22nd IEEE International Conference on Industrial Technology (ICIT)","start_date":"2021-03-10"},"status":"public","place":" Valencia, Spain ","citation":{"bibtex":"@inproceedings{Lange_Schröder_Hedayat_Kuhn_Hilleringmann_2021, place={ Valencia, Spain }, title={Development of Methods for Coil-Based Localization by Magnetic Fields of Miniaturized Sensor Platforms in Bioprocesses}, DOI={<a href=\"https://doi.org/10.1109/icit46573.2021.9453609\">10.1109/icit46573.2021.9453609</a>}, booktitle={22nd IEEE International Conference on Industrial Technology (ICIT)}, publisher={IEEE}, author={Lange, Sven and Schröder, Dominik and Hedayat, Christian and Kuhn, Harald and Hilleringmann, Ulrich}, year={2021} }","ama":"Lange S, Schröder D, Hedayat C, Kuhn H, Hilleringmann U. Development of Methods for Coil-Based Localization by Magnetic Fields of Miniaturized Sensor Platforms in Bioprocesses. In: <i>22nd IEEE International Conference on Industrial Technology (ICIT)</i>.  Valencia, Spain : IEEE; 2021. doi:<a href=\"https://doi.org/10.1109/icit46573.2021.9453609\">10.1109/icit46573.2021.9453609</a>","mla":"Lange, Sven, et al. “Development of Methods for Coil-Based Localization by Magnetic Fields of Miniaturized Sensor Platforms in Bioprocesses.” <i>22nd IEEE International Conference on Industrial Technology (ICIT)</i>, IEEE, 2021, doi:<a href=\"https://doi.org/10.1109/icit46573.2021.9453609\">10.1109/icit46573.2021.9453609</a>.","short":"S. Lange, D. Schröder, C. Hedayat, H. Kuhn, U. Hilleringmann, in: 22nd IEEE International Conference on Industrial Technology (ICIT), IEEE,  Valencia, Spain , 2021.","chicago":"Lange, Sven, Dominik Schröder, Christian Hedayat, Harald Kuhn, and Ulrich Hilleringmann. “Development of Methods for Coil-Based Localization by Magnetic Fields of Miniaturized Sensor Platforms in Bioprocesses.” In <i>22nd IEEE International Conference on Industrial Technology (ICIT)</i>.  Valencia, Spain : IEEE, 2021. <a href=\"https://doi.org/10.1109/icit46573.2021.9453609\">https://doi.org/10.1109/icit46573.2021.9453609</a>.","ieee":"S. Lange, D. Schröder, C. Hedayat, H. Kuhn, and U. Hilleringmann, “Development of Methods for Coil-Based Localization by Magnetic Fields of Miniaturized Sensor Platforms in Bioprocesses,” in <i>22nd IEEE International Conference on Industrial Technology (ICIT)</i>, Valencia, Spain , 2021.","apa":"Lange, S., Schröder, D., Hedayat, C., Kuhn, H., &#38; Hilleringmann, U. (2021). Development of Methods for Coil-Based Localization by Magnetic Fields of Miniaturized Sensor Platforms in Bioprocesses. In <i>22nd IEEE International Conference on Industrial Technology (ICIT)</i>.  Valencia, Spain : IEEE. <a href=\"https://doi.org/10.1109/icit46573.2021.9453609\">https://doi.org/10.1109/icit46573.2021.9453609</a>"},"project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"language":[{"iso":"eng"}],"main_file_link":[{"url":"https://ieeexplore.ieee.org/document/9453609"}],"doi":"10.1109/icit46573.2021.9453609","author":[{"id":"38240","full_name":"Lange, Sven","first_name":"Sven","last_name":"Lange"},{"full_name":"Schröder, Dominik","last_name":"Schröder","first_name":"Dominik"},{"full_name":"Hedayat, Christian","last_name":"Hedayat","first_name":"Christian"},{"full_name":"Kuhn, Harald","first_name":"Harald","last_name":"Kuhn"},{"last_name":"Hilleringmann","first_name":"Ulrich","full_name":"Hilleringmann, Ulrich"}],"publication_identifier":{"isbn":["9781728157306"]},"year":"2021","title":"Development of Methods for Coil-Based Localization by Magnetic Fields of Miniaturized Sensor Platforms in Bioprocesses","publication_status":"published","date_updated":"2022-01-06T06:55:33Z","date_created":"2021-06-20T23:25:54Z","department":[{"_id":"59"},{"_id":"485"}],"keyword":["Location awareness","Coils","Couplings","Nonuniform electric fields","Magnetic separation","Neural networks","Training data"],"type":"conference","publication":"22nd IEEE International Conference on Industrial Technology (ICIT)","abstract":[{"lang":"eng","text":"In this publication important aspects for the implementation of inductive locating are explained. The miniaturized sensor platform called Sens-o-Spheres is used as an application of this locating method. The sensor platform is applied in bioreactors in order to obtain the environmental parameters, which makes a localization by magnetic fields necessary. Since the properties of magnetic fields in the localization area are very different from the wave characteristics, the principle of inductive localization is investigated in this publication and explained by using electrical equivalent circuit diagrams. Thereby, inductive localization uses the coupling or the mutual inductivities between coils, which is noticeable by an induced voltage. Therefore some properties and procedures are explained to extract the location of Sens-o-Spheres or other industrial sensor platforms from the couplings of the coils. One method calculates the location from an adapted ratio calculation and the other method uses neural networks and stochastic filters to obtain the results. In the end, these results are evaluated and compared."}]},{"status":"public","conference":{"end_date":"2021-10-13","name":"24th International Conference on Discovery Science","start_date":"2021-10-11","location":"Halifax, Canada"},"user_id":"48192","editor":[{"first_name":"Carlos","last_name":"Soares","full_name":"Soares, Carlos"},{"last_name":"Torgo","first_name":"Luis","full_name":"Torgo, Luis"}],"volume":12986,"page":"166-180","_id":"27381","publisher":"Springer","quality_controlled":"1","citation":{"chicago":"Damke, Clemens, and Eyke Hüllermeier. “Ranking Structured Objects with Graph Neural Networks.” In <i>Proceedings of The 24th International Conference on Discovery Science (DS 2021)</i>, edited by Carlos Soares and Luis Torgo, 12986:166–80. Lecture Notes in Computer Science. Springer, 2021. <a href=\"https://doi.org/10.1007/978-3-030-88942-5\">https://doi.org/10.1007/978-3-030-88942-5</a>.","short":"C. Damke, E. Hüllermeier, in: C. Soares, L. Torgo (Eds.), Proceedings of The 24th International Conference on Discovery Science (DS 2021), Springer, 2021, pp. 166–180.","apa":"Damke, C., &#38; Hüllermeier, E. (2021). Ranking Structured Objects with Graph Neural Networks. In C. Soares &#38; L. Torgo (Eds.), <i>Proceedings of The 24th International Conference on Discovery Science (DS 2021)</i> (Vol. 12986, pp. 166–180). Springer. <a href=\"https://doi.org/10.1007/978-3-030-88942-5\">https://doi.org/10.1007/978-3-030-88942-5</a>","ieee":"C. Damke and E. Hüllermeier, “Ranking Structured Objects with Graph Neural Networks,” in <i>Proceedings of The 24th International Conference on Discovery Science (DS 2021)</i>, Halifax, Canada, 2021, vol. 12986, pp. 166–180, doi: <a href=\"https://doi.org/10.1007/978-3-030-88942-5\">10.1007/978-3-030-88942-5</a>.","ama":"Damke C, Hüllermeier E. Ranking Structured Objects with Graph Neural Networks. In: Soares C, Torgo L, eds. <i>Proceedings of The 24th International Conference on Discovery Science (DS 2021)</i>. Vol 12986. Lecture Notes in Computer Science. Springer; 2021:166-180. doi:<a href=\"https://doi.org/10.1007/978-3-030-88942-5\">10.1007/978-3-030-88942-5</a>","bibtex":"@inproceedings{Damke_Hüllermeier_2021, series={Lecture Notes in Computer Science}, title={Ranking Structured Objects with Graph Neural Networks}, volume={12986}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-88942-5\">10.1007/978-3-030-88942-5</a>}, booktitle={Proceedings of The 24th International Conference on Discovery Science (DS 2021)}, publisher={Springer}, author={Damke, Clemens and Hüllermeier, Eyke}, editor={Soares, Carlos and Torgo, Luis}, year={2021}, pages={166–180}, collection={Lecture Notes in Computer Science} }","mla":"Damke, Clemens, and Eyke Hüllermeier. “Ranking Structured Objects with Graph Neural Networks.” <i>Proceedings of The 24th International Conference on Discovery Science (DS 2021)</i>, edited by Carlos Soares and Luis Torgo, vol. 12986, Springer, 2021, pp. 166–80, doi:<a href=\"https://doi.org/10.1007/978-3-030-88942-5\">10.1007/978-3-030-88942-5</a>."},"external_id":{"arxiv":["2104.08869"]},"date_updated":"2022-04-11T22:08:12Z","publication_status":"published","intvolume":"     12986","year":"2021","title":"Ranking Structured Objects with Graph Neural Networks","author":[{"full_name":"Damke, Clemens","orcid":"0000-0002-0455-0048","first_name":"Clemens","last_name":"Damke","id":"48192"},{"id":"48129","full_name":"Hüllermeier, Eyke","first_name":"Eyke","last_name":"Hüllermeier"}],"publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783030889418","9783030889425"]},"doi":"10.1007/978-3-030-88942-5","language":[{"iso":"eng"}],"series_title":"Lecture Notes in Computer Science","abstract":[{"text":"Graph neural networks (GNNs) have been successfully applied in many structured data domains, with applications ranging from molecular property prediction to the analysis of social networks. Motivated by the broad applicability of GNNs, we propose the family of so-called RankGNNs, a combination of neural Learning to Rank (LtR) methods and GNNs. RankGNNs are trained with a set of pair-wise preferences between graphs, suggesting that one of them is preferred over the other. One practical application of this problem is drug screening, where an expert wants to find the most promising molecules in a large collection of drug candidates. We empirically demonstrate that our proposed pair-wise RankGNN approach either significantly outperforms or at least matches the ranking performance of the naive point-wise baseline approach, in which the LtR problem is solved via GNN-based graph regression.","lang":"eng"}],"publication":"Proceedings of The 24th International Conference on Discovery Science (DS 2021)","type":"conference","keyword":["Graph-structured data","Graph neural networks","Preference learning","Learning to rank"],"department":[{"_id":"355"}],"date_created":"2021-11-11T14:15:18Z"},{"date_updated":"2022-01-06T13:29:51Z","publication_status":"published","year":"2021","title":"Comparison and Validation of Irradiance Data: Satellite Meteorological Dataset MERRA-2 vs. Meteonorm and German Weather Service (DWD)","author":[{"full_name":"Khatibi, Arash","first_name":"Arash","last_name":"Khatibi","id":"43538"},{"full_name":"Krauter, Stefan","orcid":"0000-0002-3594-260X","first_name":"Stefan","last_name":"Krauter","id":"28836"}],"publication_identifier":{"isbn":["3-936338-78-7"]},"doi":"10.4229/EUPVSEC20212021-5BV.4.11","language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"Access to precise meteorological data is crucial to be able to plan and install renewable energy systems \r\nsuch as solar power plants and wind farms. In case of solar energy, knowledge of local irradiance and air temperature \r\nvalues is very important. For this, various methods can be used such as installing local weather stations or using \r\nmeteorological data from different organizations such as Meteonorm or official Deutscher Wetterdienst (DWD). An \r\nalternative is to use satellite reanalysis datasets provided by organizations like the National Aeronautics and Space \r\nAdministration (NASA) and European Centre for Medium-Range Weather Forecasts (ECMWF). In this paper the \r\n“Modern-Era Retrospective analysis for Research and Applications” dataset version 2 (MERRA-2) will be presented, \r\nand its performance will be evaluated by comparing it to locally measured datasets provided by Meteonorm and DWD. \r\nThe analysis shows very high correlation between MERRA-2 and local measurements (correlation coefficients of 0.99) \r\nfor monthly global irradiance and air temperature values. The results prove the suitability of MERRA-2 data for \r\napplications requiring long historical data. Moreover, availability of MERRA-2 for the whole world with an acceptable \r\nresolution makes it a very valuable dataset."}],"publication":"Proceedings of the 38th European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC 2021)","keyword":["Energy potential estimation","Photovoltaic","Solar radiation","Temperature measurement","Satellite data","Meteonorm","MERRA-2","DWD"],"type":"conference","department":[{"_id":"53"}],"file":[{"date_updated":"2022-01-06T13:26:47Z","relation":"main_file","access_level":"closed","file_size":2475972,"file_name":"Khatibi Krauter - MERRA 2 vs Meteonorm - EUPVSEC 2021.pdf","success":1,"content_type":"application/pdf","file_id":"29176","creator":"krauter","date_created":"2022-01-06T13:26:47Z"}],"date_created":"2021-09-16T10:20:41Z","has_accepted_license":"1","status":"public","conference":{"end_date":"2021-09-10","name":"38th European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC 2021)","start_date":"2021-09-06"},"ddc":["550"],"user_id":"28836","page":"1141 - 1147","_id":"24551","quality_controlled":"1","file_date_updated":"2022-01-06T13:26:47Z","citation":{"chicago":"Khatibi, Arash, and Stefan Krauter. “Comparison and Validation of Irradiance Data: Satellite Meteorological Dataset MERRA-2 vs. Meteonorm and German Weather Service (DWD).” In <i>Proceedings of the 38th European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC 2021)</i>, 1141–47, 2021. <a href=\"https://doi.org/10.4229/EUPVSEC20212021-5BV.4.11\">https://doi.org/10.4229/EUPVSEC20212021-5BV.4.11</a>.","short":"A. Khatibi, S. Krauter, in: Proceedings of the 38th European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC 2021), 2021, pp. 1141–1147.","apa":"Khatibi, A., &#38; Krauter, S. (2021). Comparison and Validation of Irradiance Data: Satellite Meteorological Dataset MERRA-2 vs. Meteonorm and German Weather Service (DWD). <i>Proceedings of the 38th European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC 2021)</i>, 1141–1147. <a href=\"https://doi.org/10.4229/EUPVSEC20212021-5BV.4.11\">https://doi.org/10.4229/EUPVSEC20212021-5BV.4.11</a>","ieee":"A. Khatibi and S. Krauter, “Comparison and Validation of Irradiance Data: Satellite Meteorological Dataset MERRA-2 vs. Meteonorm and German Weather Service (DWD),” in <i>Proceedings of the 38th European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC 2021)</i>, 2021, pp. 1141–1147, doi: <a href=\"https://doi.org/10.4229/EUPVSEC20212021-5BV.4.11\">10.4229/EUPVSEC20212021-5BV.4.11</a>.","ama":"Khatibi A, Krauter S. Comparison and Validation of Irradiance Data: Satellite Meteorological Dataset MERRA-2 vs. Meteonorm and German Weather Service (DWD). In: <i>Proceedings of the 38th European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC 2021)</i>. ; 2021:1141-1147. doi:<a href=\"https://doi.org/10.4229/EUPVSEC20212021-5BV.4.11\">10.4229/EUPVSEC20212021-5BV.4.11</a>","bibtex":"@inproceedings{Khatibi_Krauter_2021, title={Comparison and Validation of Irradiance Data: Satellite Meteorological Dataset MERRA-2 vs. Meteonorm and German Weather Service (DWD)}, DOI={<a href=\"https://doi.org/10.4229/EUPVSEC20212021-5BV.4.11\">10.4229/EUPVSEC20212021-5BV.4.11</a>}, booktitle={Proceedings of the 38th European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC 2021)}, author={Khatibi, Arash and Krauter, Stefan}, year={2021}, pages={1141–1147} }","mla":"Khatibi, Arash, and Stefan Krauter. “Comparison and Validation of Irradiance Data: Satellite Meteorological Dataset MERRA-2 vs. Meteonorm and German Weather Service (DWD).” <i>Proceedings of the 38th European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC 2021)</i>, 2021, pp. 1141–47, doi:<a href=\"https://doi.org/10.4229/EUPVSEC20212021-5BV.4.11\">10.4229/EUPVSEC20212021-5BV.4.11</a>."}},{"main_file_link":[{"url":"https://dtai.cs.kuleuven.be/events/MLSA21/papers/MLSA21_paper_muller.pdf"}],"_id":"24547","language":[{"iso":"eng"}],"user_id":"60721","status":"public","title":"PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data","year":"2021","conference":{"location":"Online","name":"European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD 2021)","start_date":"2021-09-13","end_date":"2021-09-17"},"author":[{"first_name":"Oliver","last_name":"Müller","full_name":"Müller, Oliver","id":"72849"},{"last_name":"Caron","first_name":"Matthew","full_name":"Caron, Matthew","id":"60721"},{"full_name":"Döring, Michael","last_name":"Döring","first_name":"Michael"},{"full_name":"Heuwinkel, Tim","first_name":"Tim","last_name":"Heuwinkel"},{"id":"46","orcid":"0000-0003-2683-5826","last_name":"Baumeister","first_name":"Jochen","full_name":"Baumeister, Jochen"}],"date_updated":"2023-02-28T08:58:24Z","publication_status":"inpress","date_created":"2021-09-16T08:33:04Z","type":"conference","keyword":["expected possession value","handball","tracking data","time series classification","deep learning"],"department":[{"_id":"196"},{"_id":"172"}],"publication":"8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021)","citation":{"bibtex":"@inproceedings{Müller_Caron_Döring_Heuwinkel_Baumeister, title={PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data}, booktitle={8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021)}, author={Müller, Oliver and Caron, Matthew and Döring, Michael and Heuwinkel, Tim and Baumeister, Jochen} }","ama":"Müller O, Caron M, Döring M, Heuwinkel T, Baumeister J. PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data. In: <i>8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021)</i>.","mla":"Müller, Oliver, et al. “PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball Using Tracking Data.” <i>8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021)</i>.","short":"O. Müller, M. Caron, M. Döring, T. Heuwinkel, J. Baumeister, in: 8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021), n.d.","chicago":"Müller, Oliver, Matthew Caron, Michael Döring, Tim Heuwinkel, and Jochen Baumeister. “PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball Using Tracking Data.” In <i>8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021)</i>, n.d.","ieee":"O. Müller, M. Caron, M. Döring, T. Heuwinkel, and J. Baumeister, “PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data,” presented at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD 2021), Online.","apa":"Müller, O., Caron, M., Döring, M., Heuwinkel, T., &#38; Baumeister, J. (n.d.). PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data. <i>8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021)</i>. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD 2021), Online."},"abstract":[{"text":"Over the last years, several approaches for the data-driven estimation of expected possession value (EPV) in basketball and association football (soccer) have been proposed. In this paper, we develop and evaluate PIVOT: the first such framework for team handball. Accounting for the fast-paced, dynamic nature and relative data scarcity of hand- ball, we propose a parsimonious end-to-end deep learning architecture that relies solely on tracking data. This efficient approach is capable of predicting the probability that a team will score within the near future given the fine-grained spatio-temporal distribution of all players and the ball over the last seconds of the game. Our experiments indicate that PIVOT is able to produce accurate and calibrated probability estimates, even when trained on a relatively small dataset. We also showcase two interactive applications of PIVOT for valuing actual and counterfactual player decisions and actions in real-time.","lang":"eng"}]},{"citation":{"ama":"Höper L. Developing and Evaluating the Concept Data Awareness for K12 Computing Education. In: <i>21st Koli Calling International Conference on Computing Education Research</i>. Koli Calling ’21. Association for Computing Machinery; 2021. doi:<a href=\"https://doi.org/10.1145/3488042.3490509\">10.1145/3488042.3490509</a>","bibtex":"@inproceedings{Höper_2021, place={New York, NY, USA}, series={Koli Calling ’21}, title={Developing and Evaluating the Concept Data Awareness for K12 Computing Education}, DOI={<a href=\"https://doi.org/10.1145/3488042.3490509\">10.1145/3488042.3490509</a>}, booktitle={21st Koli Calling International Conference on Computing Education Research}, publisher={Association for Computing Machinery}, author={Höper, Lukas}, year={2021}, collection={Koli Calling ’21} }","mla":"Höper, Lukas. “Developing and Evaluating the Concept Data Awareness for K12 Computing Education.” <i>21st Koli Calling International Conference on Computing Education Research</i>, Association for Computing Machinery, 2021, doi:<a href=\"https://doi.org/10.1145/3488042.3490509\">10.1145/3488042.3490509</a>.","short":"L. Höper, in: 21st Koli Calling International Conference on Computing Education Research, Association for Computing Machinery, New York, NY, USA, 2021.","chicago":"Höper, Lukas. “Developing and Evaluating the Concept Data Awareness for K12 Computing Education.” In <i>21st Koli Calling International Conference on Computing Education Research</i>. Koli Calling ’21. New York, NY, USA: Association for Computing Machinery, 2021. <a href=\"https://doi.org/10.1145/3488042.3490509\">https://doi.org/10.1145/3488042.3490509</a>.","apa":"Höper, L. (2021). Developing and Evaluating the Concept Data Awareness for K12 Computing Education. <i>21st Koli Calling International Conference on Computing Education Research</i>. <a href=\"https://doi.org/10.1145/3488042.3490509\">https://doi.org/10.1145/3488042.3490509</a>","ieee":"L. Höper, “Developing and Evaluating the Concept Data Awareness for K12 Computing Education,” 2021, doi: <a href=\"https://doi.org/10.1145/3488042.3490509\">10.1145/3488042.3490509</a>."},"quality_controlled":"1","place":"New York, NY, USA","status":"public","_id":"27491","publisher":"Association for Computing Machinery","user_id":"58041","publication":"21st Koli Calling International Conference on Computing Education Research","abstract":[{"text":" Students often have a lack of understanding and awareness of where, how, and why personal data about them is collected and processed. Especially, when interacting with data-driven digital artifacts, an appropriate perception of the data collection and processing is necessary for self-determination. This dissertation deals with the development and evaluation of a concept called data awareness which aims to foster students’ self-determination interacting with data-driven digital artifacts.","lang":"eng"}],"date_created":"2021-11-16T07:59:49Z","department":[{"_id":"67"}],"keyword":["data awareness","machine learning","data science education","data-driven digital artifacts","artificial intelligence"],"type":"conference","author":[{"id":"58041","full_name":"Höper, Lukas","last_name":"Höper","first_name":"Lukas"}],"publication_identifier":{"isbn":["9781450384889"]},"title":"Developing and Evaluating the Concept Data Awareness for K12 Computing Education","year":"2021","date_updated":"2024-09-16T08:32:39Z","series_title":"Koli Calling '21","language":[{"iso":"eng"}],"doi":"10.1145/3488042.3490509"},{"file_date_updated":"2022-01-06T13:11:59Z","citation":{"mla":"Kakande, Josephine Nakato, et al. “Load Data Acquisition in Rural East Africa for the Layout of Microgrids and Demand–Side–Management Measures.” <i>Proceedings of the 38th European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC 2021)</i>, 2021, pp. 1505–10, doi:<a href=\"https://doi.org/10.4229/EUPVSEC20212021-6BV.5.38\">10.4229/EUPVSEC20212021-6BV.5.38</a>.","bibtex":"@inproceedings{Kakande_Philipo_Krauter_2021, title={Load Data Acquisition in Rural East Africa for the Layout of Microgrids and Demand–Side–Management Measures}, DOI={<a href=\"https://doi.org/10.4229/EUPVSEC20212021-6BV.5.38\">10.4229/EUPVSEC20212021-6BV.5.38</a>}, booktitle={Proceedings of the 38th European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC 2021)}, author={Kakande, Josephine Nakato and Philipo, Godiana Hagile and Krauter, Stefan}, year={2021}, pages={1505–1510} }","ama":"Kakande JN, Philipo GH, Krauter S. Load Data Acquisition in Rural East Africa for the Layout of Microgrids and Demand–Side–Management Measures. In: <i>Proceedings of the 38th European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC 2021)</i>. ; 2021:1505-1510. doi:<a href=\"https://doi.org/10.4229/EUPVSEC20212021-6BV.5.38\">10.4229/EUPVSEC20212021-6BV.5.38</a>","ieee":"J. N. Kakande, G. H. Philipo, and S. Krauter, “Load Data Acquisition in Rural East Africa for the Layout of Microgrids and Demand–Side–Management Measures,” in <i>Proceedings of the 38th European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC 2021)</i>, 2021, pp. 1505–1510, doi: <a href=\"https://doi.org/10.4229/EUPVSEC20212021-6BV.5.38\">10.4229/EUPVSEC20212021-6BV.5.38</a>.","apa":"Kakande, J. N., Philipo, G. H., &#38; Krauter, S. (2021). Load Data Acquisition in Rural East Africa for the Layout of Microgrids and Demand–Side–Management Measures. <i>Proceedings of the 38th European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC 2021)</i>, 1505–1510. <a href=\"https://doi.org/10.4229/EUPVSEC20212021-6BV.5.38\">https://doi.org/10.4229/EUPVSEC20212021-6BV.5.38</a>","short":"J.N. Kakande, G.H. Philipo, S. Krauter, in: Proceedings of the 38th European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC 2021), 2021, pp. 1505–1510.","chicago":"Kakande, Josephine Nakato, Godiana Hagile Philipo, and Stefan Krauter. “Load Data Acquisition in Rural East Africa for the Layout of Microgrids and Demand–Side–Management Measures.” In <i>Proceedings of the 38th European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC 2021)</i>, 1505–10, 2021. <a href=\"https://doi.org/10.4229/EUPVSEC20212021-6BV.5.38\">https://doi.org/10.4229/EUPVSEC20212021-6BV.5.38</a>."},"quality_controlled":"1","page":"1505-1510","_id":"24540","user_id":"16148","ddc":["620"],"status":"public","conference":{"name":"38th European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC 2021)","start_date":"2021-09-06","end_date":"2021-09-10"},"has_accepted_license":"1","file":[{"file_size":1343406,"access_level":"closed","file_name":"Kakande Philipo Krauter - Load Data Aquisition ART-D - EUPVSEC 2021.pdf","date_updated":"2022-01-06T13:11:59Z","relation":"main_file","content_type":"application/pdf","success":1,"file_id":"29174","creator":"krauter","date_created":"2022-01-06T13:11:59Z"}],"date_created":"2021-09-16T05:52:50Z","keyword":["Art-D","Afrika","Demand side management","MySQL","Raspberry pi","Data acquisition"],"type":"conference","department":[{"_id":"53"}],"publication":"Proceedings of the 38th European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC 2021)","abstract":[{"lang":"eng","text":"With its growing population and industrialization, DREs, and solar technologies in particular, provide a \r\nsustainable means of bridging the current energy deficit in Africa, increasing supply reliability and meeting future \r\ndemand. Data acquisition and data management systems allow real time monitoring and control of energy systems as \r\nwell as performance analysis. However commercial data acquisition systems often have cost implications that are \r\nprohibitive for small PV systems and installations in developing countries.\r\nIn this paper, a multi-user, multi-purpose microgrid database system is designed and implemented. MAVOWATT \r\n270 power quality analyzers by GOSSEN METRAWATT, raspberry pi modules and sensors are used for measuring, \r\nrecording and storing electrical and meteorological data in East Africa. Socio-economic data is also stored in the\r\ndatabase. The designed system employs open source software and hardware solutions which are best suited to \r\ndeveloping regions like East Africa due to the lower cost implications.\r\nThe expected results promise a comprehensive database covering different electro-technical and socio-economic \r\nparameters useful for optimal design of microgrid systems."}],"language":[{"iso":"eng"}],"doi":"10.4229/EUPVSEC20212021-6BV.5.38","year":"2021","title":"Load Data Acquisition in Rural East Africa for the Layout of Microgrids and Demand–Side–Management Measures","author":[{"last_name":"Kakande","first_name":"Josephine Nakato","full_name":"Kakande, Josephine Nakato","id":"88649"},{"full_name":"Philipo, Godiana Hagile","first_name":"Godiana Hagile","last_name":"Philipo","id":"88505"},{"id":"28836","last_name":"Krauter","orcid":"0000-0002-3594-260X","first_name":"Stefan","full_name":"Krauter, Stefan"}],"publication_identifier":{"isbn":["3-936338-78-7"]},"publication_status":"published","date_updated":"2024-10-17T08:45:50Z"},{"date_created":"2020-10-21T12:00:20Z","department":[{"_id":"63"}],"keyword":["Mincut","Sensitivity","Data Structure"],"type":"conference","publication":"28th Annual European Symposium on Algorithms (ESA 2020)","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 𝒪(|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 𝒪(|S|). \r\n2) All-pairs: There exists an 𝒪(|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 𝒪(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 𝒪(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 𝒪(n) size."}],"language":[{"iso":"eng"}],"series_title":"Leibniz International Proceedings in Informatics (LIPIcs)","doi":"10.4230/LIPIcs.ESA.2020.12","author":[{"full_name":"Baswana, Surender","last_name":"Baswana","first_name":"Surender"},{"full_name":"Gupta, Shiv","last_name":"Gupta","first_name":"Shiv"},{"id":"39241","full_name":"Knollmann, Till","first_name":"Till","last_name":"Knollmann","orcid":"0000-0003-2014-4696"}],"publication_identifier":{"issn":["1868-8969"],"isbn":["978-3-95977-162-7"]},"title":"Mincut Sensitivity Data Structures for the Insertion of an Edge","year":"2020","intvolume":"       173","date_updated":"2022-01-06T06:54:20Z","place":"Dagstuhl, Germany","citation":{"mla":"Baswana, Surender, et al. “Mincut Sensitivity Data Structures for the Insertion of an Edge.” <i>28th Annual European Symposium on Algorithms (ESA 2020)</i>, edited by Fabrizio Grandoni et al., vol. 173, Schloss Dagstuhl -- Leibniz-Zentrum für Informatik, 2020, pp. 12:1-12:14, doi:<a href=\"https://doi.org/10.4230/LIPIcs.ESA.2020.12\">10.4230/LIPIcs.ESA.2020.12</a>.","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={<a href=\"https://doi.org/10.4230/LIPIcs.ESA.2020.12\">10.4230/LIPIcs.ESA.2020.12</a>}, 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)} }","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. <i>28th Annual European Symposium on Algorithms (ESA 2020)</i>. Vol 173. Leibniz International Proceedings in Informatics (LIPIcs). Dagstuhl, Germany: Schloss Dagstuhl -- Leibniz-Zentrum für Informatik; 2020:12:1-12:14. doi:<a href=\"https://doi.org/10.4230/LIPIcs.ESA.2020.12\">10.4230/LIPIcs.ESA.2020.12</a>","ieee":"S. Baswana, S. Gupta, and T. Knollmann, “Mincut Sensitivity Data Structures for the Insertion of an Edge,” in <i>28th Annual European Symposium on Algorithms (ESA 2020)</i>, 2020, vol. 173, pp. 12:1-12:14.","apa":"Baswana, S., Gupta, S., &#38; Knollmann, T. (2020). Mincut Sensitivity Data Structures for the Insertion of an Edge. In F. Grandoni, G. Herman, &#38; P. Sanders (Eds.), <i>28th Annual European Symposium on Algorithms (ESA 2020)</i> (Vol. 173, pp. 12:1-12:14). Dagstuhl, Germany: Schloss Dagstuhl -- Leibniz-Zentrum für Informatik. <a href=\"https://doi.org/10.4230/LIPIcs.ESA.2020.12\">https://doi.org/10.4230/LIPIcs.ESA.2020.12</a>","chicago":"Baswana, Surender, Shiv Gupta, and Till Knollmann. “Mincut Sensitivity Data Structures for the Insertion of an Edge.” In <i>28th Annual European Symposium on Algorithms (ESA 2020)</i>, 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. <a href=\"https://doi.org/10.4230/LIPIcs.ESA.2020.12\">https://doi.org/10.4230/LIPIcs.ESA.2020.12</a>.","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."},"publisher":"Schloss Dagstuhl -- Leibniz-Zentrum für Informatik","_id":"20159","page":"12:1-12:14","volume":173,"editor":[{"first_name":"Fabrizio","last_name":"Grandoni","full_name":"Grandoni, Fabrizio"},{"full_name":"Herman, Grzegorz","first_name":"Grzegorz","last_name":"Herman"},{"full_name":"Sanders, Peter","last_name":"Sanders","first_name":"Peter"}],"user_id":"39241","status":"public"},{"date_updated":"2022-01-06T06:55:03Z","publication_status":"published","publication_identifier":{"isbn":["9781839530494","9781839530500"]},"author":[{"full_name":"Schröder, Dominik","last_name":"Schröder","first_name":"Dominik"},{"last_name":"Lange","first_name":"Sven","full_name":"Lange, Sven","id":"38240"},{"first_name":"Christian","last_name":"Hangmann","full_name":"Hangmann, Christian"},{"full_name":"Hedayat, Christian","first_name":"Christian","last_name":"Hedayat"}],"title":"Far-field prediction combining simulations with near-field measurements for EMI assessment of PCBs","year":"2020","doi":"10.1049/pbcs072e_ch14","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://digital-library.theiet.org/content/books/10.1049/pbcs072e_ch14"}],"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."}],"related_material":{"record":[{"status":"public","relation":"other","id":"21542"}]},"publication":"Tensorial Analysis of Networks (TAN) Modelling for PCB Signal Integrity and EMC Analysis","department":[{"_id":"485"}],"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"],"type":"book_chapter","date_created":"2021-03-18T13:49:49Z","status":"public","user_id":"38240","publisher":" The Institution of Engineering and Technology (IET)","_id":"21542","edition":"1","page":"315-346 (32)","project":[{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"citation":{"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 <i>Tensorial Analysis of Networks (TAN) Modelling for PCB Signal Integrity and EMC Analysis</i>, 1st ed., Croyton, UK:  The Institution of Engineering and Technology (IET), 2020, pp. 315-346 (32).","apa":"Schröder, D., Lange, S., Hangmann, C., &#38; Hedayat, C. (2020). Far-field prediction combining simulations with near-field measurements for EMI assessment of PCBs. In <i>Tensorial Analysis of Networks (TAN) Modelling for PCB Signal Integrity and EMC Analysis</i> (1st ed., pp. 315-346 (32)). Croyton, UK:  The Institution of Engineering and Technology (IET). <a href=\"https://doi.org/10.1049/pbcs072e_ch14\">https://doi.org/10.1049/pbcs072e_ch14</a>","mla":"Schröder, Dominik, et al. “Far-Field Prediction Combining Simulations with near-Field Measurements for EMI Assessment of PCBs.” <i>Tensorial Analysis of Networks (TAN) Modelling for PCB Signal Integrity and EMC Analysis</i>, 1st ed.,  The Institution of Engineering and Technology (IET), 2020, pp. 315-346 (32), doi:<a href=\"https://doi.org/10.1049/pbcs072e_ch14\">10.1049/pbcs072e_ch14</a>.","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={<a href=\"https://doi.org/10.1049/pbcs072e_ch14\">10.1049/pbcs072e_ch14</a>}, 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)} }","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).","ama":"Schröder D, Lange S, Hangmann C, Hedayat C. Far-field prediction combining simulations with near-field measurements for EMI assessment of PCBs. In: <i>Tensorial Analysis of Networks (TAN) Modelling for PCB Signal Integrity and EMC Analysis</i>. 1st ed. Croyton, UK:  The Institution of Engineering and Technology (IET); 2020:315-346 (32). doi:<a href=\"https://doi.org/10.1049/pbcs072e_ch14\">10.1049/pbcs072e_ch14</a>","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 <i>Tensorial Analysis of Networks (TAN) Modelling for PCB Signal Integrity and EMC Analysis</i>, 1st ed., 315-346 (32). Croyton, UK:  The Institution of Engineering and Technology (IET), 2020. <a href=\"https://doi.org/10.1049/pbcs072e_ch14\">https://doi.org/10.1049/pbcs072e_ch14</a>."},"place":"Croyton, UK"},{"citation":{"chicago":"Hasnain, Asif, and Holger Karl. “Coflow Scheduling with Performance Guarantees for Data Center Applications.” In <i>2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID)</i>. IEEE Computer Society, 2020. <a href=\"https://doi.org/10.1109/CCGrid49817.2020.00010\">https://doi.org/10.1109/CCGrid49817.2020.00010</a>.","short":"A. Hasnain, H. Karl, in: 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), IEEE Computer Society, 2020.","apa":"Hasnain, A., &#38; Karl, H. (2020). Coflow Scheduling with Performance Guarantees for Data Center Applications. In <i>2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID)</i>. Melbourne, Australia: IEEE Computer Society. <a href=\"https://doi.org/10.1109/CCGrid49817.2020.00010\">https://doi.org/10.1109/CCGrid49817.2020.00010</a>","ieee":"A. Hasnain and H. Karl, “Coflow Scheduling with Performance Guarantees for Data Center Applications,” in <i>2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID)</i>, Melbourne, Australia, 2020.","ama":"Hasnain A, Karl H. Coflow Scheduling with Performance Guarantees for Data Center Applications. In: <i>2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID)</i>. IEEE Computer Society; 2020. doi:<a href=\"https://doi.org/10.1109/CCGrid49817.2020.00010\">https://doi.org/10.1109/CCGrid49817.2020.00010</a>","bibtex":"@inproceedings{Hasnain_Karl_2020, title={Coflow Scheduling with Performance Guarantees for Data Center Applications}, DOI={<a href=\"https://doi.org/10.1109/CCGrid49817.2020.00010\">https://doi.org/10.1109/CCGrid49817.2020.00010</a>}, 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} }","mla":"Hasnain, Asif, and Holger Karl. “Coflow Scheduling with Performance Guarantees for Data Center Applications.” <i>2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID)</i>, IEEE Computer Society, 2020, doi:<a href=\"https://doi.org/10.1109/CCGrid49817.2020.00010\">https://doi.org/10.1109/CCGrid49817.2020.00010</a>."},"project":[{"name":"SFB 901 - Project Area C","_id":"4"},{"_id":"16","name":"SFB 901 - Subproject C4"},{"_id":"1","name":"SFB 901"}],"_id":"17082","publisher":"IEEE Computer Society","user_id":"63288","ddc":["000"],"conference":{"location":"Melbourne, Australia","name":"2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID)"},"status":"public","date_created":"2020-06-06T07:40:45Z","department":[{"_id":"75"}],"keyword":["Coflow","Scheduling","Deadlines","Data centers"],"type":"conference","publication":"2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID)","abstract":[{"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.","lang":"eng"}],"language":[{"iso":"eng"}],"main_file_link":[{"url":"https://ieeexplore.ieee.org/abstract/document/9139642"}],"doi":"https://doi.org/10.1109/CCGrid49817.2020.00010","author":[{"full_name":"Hasnain, Asif","first_name":"Asif","last_name":"Hasnain","id":"63288"},{"full_name":"Karl, Holger","last_name":"Karl","first_name":"Holger","id":"126"}],"year":"2020","title":"Coflow Scheduling with Performance Guarantees for Data Center Applications","publication_status":"published","date_updated":"2022-01-06T06:53:04Z"},{"publication":"Research Ideas and Outcomes","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.</jats:p>\r\n          <jats:p>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."}],"date_created":"2023-09-27T07:02:04Z","keyword":["Research Data Management"],"type":"journal_article","department":[{"_id":"572"},{"_id":"856"},{"_id":"615"}],"year":"2020","title":"NFDI4Culture - Consortium for research data on material and immaterial cultural heritage","author":[{"full_name":"Altenhöner, Reinhard","first_name":"Reinhard","last_name":"Altenhöner"},{"last_name":"Blümel","first_name":"Ina","full_name":"Blümel, Ina"},{"last_name":"Boehm","first_name":"Franziska","full_name":"Boehm, Franziska"},{"last_name":"Bove","first_name":"Jens","full_name":"Bove, Jens"},{"full_name":"Bicher, Katrin","first_name":"Katrin","last_name":"Bicher"},{"first_name":"Christian","last_name":"Bracht","full_name":"Bracht, Christian"},{"last_name":"Brand","first_name":"Ortrun","full_name":"Brand, Ortrun"},{"full_name":"Dieckmann, Lisa","last_name":"Dieckmann","first_name":"Lisa"},{"first_name":"Maria","last_name":"Effinger","full_name":"Effinger, Maria"},{"last_name":"Hagener","first_name":"Malte","full_name":"Hagener, Malte"},{"full_name":"Hammes, Andrea","first_name":"Andrea","last_name":"Hammes"},{"last_name":"Heller","first_name":"Lambert","full_name":"Heller, Lambert"},{"full_name":"Kailus, Angela","last_name":"Kailus","first_name":"Angela"},{"first_name":"Hubertus","last_name":"Kohle","full_name":"Kohle, Hubertus"},{"full_name":"Ludwig, Jens","last_name":"Ludwig","first_name":"Jens"},{"last_name":"Münzmay","first_name":"Andreas","orcid":"0000-0002-8373-4055","full_name":"Münzmay, Andreas","id":"61139"},{"full_name":"Pittroff, Sarah","last_name":"Pittroff","first_name":"Sarah"},{"full_name":"Razum, Matthias","first_name":"Matthias","last_name":"Razum"},{"last_name":"Röwenstrunk","first_name":"Daniel","full_name":"Röwenstrunk, Daniel"},{"first_name":"Harald","last_name":"Sack","full_name":"Sack, Harald"},{"last_name":"Simon","first_name":"Holger","full_name":"Simon, Holger"},{"full_name":"Schmidt, Dörte","last_name":"Schmidt","first_name":"Dörte"},{"full_name":"Schrade, Torsten","first_name":"Torsten","last_name":"Schrade"},{"last_name":"Walzel","first_name":"Annika-Valeska","full_name":"Walzel, Annika-Valeska"},{"full_name":"Wiermann, Barbara","last_name":"Wiermann","first_name":"Barbara"}],"publication_identifier":{"issn":["2367-7163"]},"publication_status":"published","date_updated":"2024-02-19T11:01:52Z","article_type":"original","intvolume":"         6","main_file_link":[{"url":"https://doi.org/10.3897/rio.6.e57036","open_access":"1"}],"language":[{"iso":"eng"}],"doi":"10.3897/rio.6.e57036","citation":{"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.” <i>Research Ideas and Outcomes</i> 6 (2020). <a href=\"https://doi.org/10.3897/rio.6.e57036\">https://doi.org/10.3897/rio.6.e57036</a>.","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).","ieee":"R. Altenhöner <i>et al.</i>, “NFDI4Culture - Consortium for research data on material and immaterial cultural heritage,” <i>Research Ideas and Outcomes</i>, vol. 6, 2020, doi: <a href=\"https://doi.org/10.3897/rio.6.e57036\">10.3897/rio.6.e57036</a>.","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. <i>Research Ideas and Outcomes</i>, <i>6</i>. <a href=\"https://doi.org/10.3897/rio.6.e57036\">https://doi.org/10.3897/rio.6.e57036</a>","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={<a href=\"https://doi.org/10.3897/rio.6.e57036\">10.3897/rio.6.e57036</a>}, 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} }","ama":"Altenhöner R, Blümel I, Boehm F, et al. NFDI4Culture - Consortium for research data on material and immaterial cultural heritage. <i>Research Ideas and Outcomes</i>. 2020;6. doi:<a href=\"https://doi.org/10.3897/rio.6.e57036\">10.3897/rio.6.e57036</a>","mla":"Altenhöner, Reinhard, et al. “NFDI4Culture - Consortium for Research Data on Material and Immaterial Cultural Heritage.” <i>Research Ideas and Outcomes</i>, vol. 6, Pensoft Publishers, 2020, doi:<a href=\"https://doi.org/10.3897/rio.6.e57036\">10.3897/rio.6.e57036</a>."},"quality_controlled":"1","project":[{"name":"NFDI4Culture: NFDI4Culture – Konsortium für Forschungsdaten materieller und immaterieller Kulturgüter","_id":"745"}],"oa":"1","status":"public","publisher":"Pensoft Publishers","_id":"47476","user_id":"61139","volume":6},{"file_date_updated":"2024-04-18T12:49:25Z","citation":{"apa":"Beverungen, D., Buijs, J. C. A. M., Becker, J., Di Ciccio, C., van der Aalst, W. M. P., Bartelheimer, C., vom Brocke, J., Comuzzi, M., Kraume, K., Leopold, H., Matzner, M., Mendling, J., Ogonek, N., Post, T., Resinas, M., Revoredo, K., del-Río-Ortega, A., La Rosa, M., Santoro, F. M., … Wolf, V. (2020). Seven Paradoxes of Business Process Management in a Hyper-Connected World. <i>Business &#38; Information Systems Engineering</i>, <i>63</i>, 145–156. <a href=\"https://doi.org/10.1007/s12599-020-00646-z\">https://doi.org/10.1007/s12599-020-00646-z</a>","ieee":"D. Beverungen <i>et al.</i>, “Seven Paradoxes of Business Process Management in a Hyper-Connected World,” <i>Business &#38; Information Systems Engineering</i>, vol. 63, pp. 145–156, 2020, doi: <a href=\"https://doi.org/10.1007/s12599-020-00646-z\">10.1007/s12599-020-00646-z</a>.","chicago":"Beverungen, Daniel, Joos C. A. M. Buijs, Jörg Becker, Claudio Di Ciccio, Wil M. P. van der Aalst, Christian Bartelheimer, Jan vom Brocke, et al. “Seven Paradoxes of Business Process Management in a Hyper-Connected World.” <i>Business &#38; Information Systems Engineering</i> 63 (2020): 145–56. <a href=\"https://doi.org/10.1007/s12599-020-00646-z\">https://doi.org/10.1007/s12599-020-00646-z</a>.","short":"D. Beverungen, J.C.A.M. Buijs, J. Becker, C. Di Ciccio, W.M.P. van der Aalst, C. Bartelheimer, J. vom Brocke, M. Comuzzi, K. Kraume, H. Leopold, M. Matzner, J. Mendling, N. Ogonek, T. Post, M. Resinas, K. Revoredo, A. del-Río-Ortega, M. La Rosa, F.M. Santoro, A. Solti, M. Song, A. Stein, M. Stierle, V. Wolf, Business &#38; Information Systems Engineering 63 (2020) 145–156.","mla":"Beverungen, Daniel, et al. “Seven Paradoxes of Business Process Management in a Hyper-Connected World.” <i>Business &#38; Information Systems Engineering</i>, vol. 63, SpringerNature, 2020, pp. 145–56, doi:<a href=\"https://doi.org/10.1007/s12599-020-00646-z\">10.1007/s12599-020-00646-z</a>.","ama":"Beverungen D, Buijs JCAM, Becker J, et al. Seven Paradoxes of Business Process Management in a Hyper-Connected World. <i>Business &#38; Information Systems Engineering</i>. 2020;63:145-156. doi:<a href=\"https://doi.org/10.1007/s12599-020-00646-z\">10.1007/s12599-020-00646-z</a>","bibtex":"@article{Beverungen_Buijs_Becker_Di Ciccio_van der Aalst_Bartelheimer_vom Brocke_Comuzzi_Kraume_Leopold_et al._2020, title={Seven Paradoxes of Business Process Management in a Hyper-Connected World}, volume={63}, DOI={<a href=\"https://doi.org/10.1007/s12599-020-00646-z\">10.1007/s12599-020-00646-z</a>}, journal={Business &#38; Information Systems Engineering}, publisher={SpringerNature}, author={Beverungen, Daniel and Buijs, Joos C. A. M. and Becker, Jörg and Di Ciccio, Claudio and van der Aalst, Wil M. P. and Bartelheimer, Christian and vom Brocke, Jan and Comuzzi, Marco and Kraume, Karsten and Leopold, Henrik and et al.}, year={2020}, pages={145–156} }"},"quality_controlled":"1","project":[{"name":"RISE_BPM: Propelling Business Process Management by Research and Innovation Staff Exchange","grant_number":"645751","_id":"1070","call_identifier":"MSCA-RISE-2014"}],"page":"145-156","_id":"17156","publisher":"SpringerNature","user_id":"59677","ddc":["380"],"volume":63,"status":"public","has_accepted_license":"1","file":[{"file_id":"53574","success":1,"content_type":"application/pdf","file_name":"Business_Process_Management_in_a_Hyperconnected_World.pdf","file_size":360869,"access_level":"closed","relation":"main_file","date_updated":"2024-04-18T12:49:25Z","date_created":"2024-04-18T12:49:25Z","creator":"dabe"}],"date_created":"2020-06-24T10:40:45Z","type":"journal_article","keyword":["Business process management (BPM)","Social computing","Smart devices","Big data analytics","Real-time computing","BPM life-cycle"],"department":[{"_id":"526"}],"publication":"Business & Information Systems Engineering","abstract":[{"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.","lang":"eng"}],"language":[{"iso":"eng"}],"doi":"10.1007/s12599-020-00646-z","title":"Seven Paradoxes of Business Process Management in a Hyper-Connected World","year":"2020","publication_identifier":{"issn":["2363-7005","1867-0202"]},"author":[{"last_name":"Beverungen","first_name":"Daniel","full_name":"Beverungen, Daniel","id":"59677"},{"first_name":"Joos C. A. M.","last_name":"Buijs","full_name":"Buijs, Joos C. A. M."},{"first_name":"Jörg","last_name":"Becker","full_name":"Becker, Jörg"},{"full_name":"Di Ciccio, Claudio","first_name":"Claudio","last_name":"Di Ciccio"},{"full_name":"van der Aalst, Wil M. P.","first_name":"Wil M. P.","last_name":"van der Aalst"},{"last_name":"Bartelheimer","first_name":"Christian","full_name":"Bartelheimer, Christian","id":"49160"},{"last_name":"vom Brocke","first_name":"Jan","full_name":"vom Brocke, Jan"},{"last_name":"Comuzzi","first_name":"Marco","full_name":"Comuzzi, Marco"},{"full_name":"Kraume, Karsten","first_name":"Karsten","last_name":"Kraume"},{"last_name":"Leopold","first_name":"Henrik","full_name":"Leopold, Henrik"},{"last_name":"Matzner","first_name":"Martin","full_name":"Matzner, Martin"},{"last_name":"Mendling","first_name":"Jan","full_name":"Mendling, Jan"},{"full_name":"Ogonek, Nadine","first_name":"Nadine","last_name":"Ogonek"},{"last_name":"Post","first_name":"Till","full_name":"Post, Till"},{"last_name":"Resinas","first_name":"Manuel","full_name":"Resinas, Manuel"},{"full_name":"Revoredo, Kate","last_name":"Revoredo","first_name":"Kate"},{"first_name":"Adela","last_name":"del-Río-Ortega","full_name":"del-Río-Ortega, Adela"},{"full_name":"La Rosa, Marcello","first_name":"Marcello","last_name":"La Rosa"},{"last_name":"Santoro","first_name":"Flávia Maria","full_name":"Santoro, Flávia Maria"},{"last_name":"Solti","first_name":"Andreas","full_name":"Solti, Andreas"},{"first_name":"Minseok","last_name":"Song","full_name":"Song, Minseok"},{"last_name":"Stein","first_name":"Armin","full_name":"Stein, Armin"},{"first_name":"Matthias","last_name":"Stierle","full_name":"Stierle, Matthias"},{"id":"23633","full_name":"Wolf, Verena","last_name":"Wolf","first_name":"Verena"}],"publication_status":"published","date_updated":"2024-04-18T12:50:57Z","article_type":"original","intvolume":"        63"},{"publication_status":"published","date_updated":"2025-12-03T18:11:41Z","author":[{"first_name":"Pascal","last_name":"Pollmeier","full_name":"Pollmeier, Pascal","id":"44191"},{"id":"54823","full_name":"Fechner, Sabine","orcid":"0000-0001-5645-5870","last_name":"Fechner","first_name":"Sabine"}],"publication_identifier":{"unknown":["978-88-945874-0-1"]},"year":"2019","title":"Creativity in data analysis through confrontation with anomalous data","language":[{"iso":"eng"}],"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."}],"publication":"The beauty and pleasure of understanding: engaging with contemporary challenges through science education. Electronic Proceedings of the ESERA 2019 Conference. ","department":[{"_id":"386"}],"keyword":["epistemology","conceptual change","anomalous data"],"type":"conference","date_created":"2021-09-03T12:45:24Z","has_accepted_license":"1","conference":{"name":"ESERA 2019 Conference. The beauty and pleasure of understanding: engaging with contemporary challenges through science education,","start_date":"2019-08-26","location":"Bologna","end_date":"2019-08-30"},"status":"public","editor":[{"full_name":"Levrini, Olivia","last_name":"Levrini","first_name":"Olivia"},{"last_name":"Tasquir","first_name":"Giulia","full_name":"Tasquir, Giulia"},{"full_name":"Kaya, Ebru","last_name":"Kaya","first_name":"Ebru"},{"full_name":"Vesterinen, Veli-Matti","first_name":"Veli-Matti","last_name":"Vesterinen"}],"user_id":"54823","ddc":["370"],"publisher":"ALMA MATER STUDIORUM - University of Bologna","_id":"23756","page":"751-759","quality_controlled":"1","citation":{"mla":"Pollmeier, Pascal, and Sabine Fechner. “Creativity in Data Analysis through Confrontation with Anomalous Data.” <i>The Beauty and Pleasure of Understanding: Engaging with Contemporary Challenges through Science Education. Electronic Proceedings of the ESERA 2019 Conference. </i>, edited by Olivia Levrini et al., ALMA MATER STUDIORUM - University of Bologna, 2019, pp. 751–59.","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. <i>The Beauty and Pleasure of Understanding: Engaging with Contemporary Challenges through Science Education. Electronic Proceedings of the ESERA 2019 Conference. </i>. ALMA MATER STUDIORUM - University of Bologna; 2019:751-759.","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} }","apa":"Pollmeier, P., &#38; Fechner, S. (2019). Creativity in data analysis through confrontation with anomalous data. In O. Levrini, G. Tasquir, E. Kaya, &#38; V.-M. Vesterinen (Eds.), <i>The beauty and pleasure of understanding: engaging with contemporary challenges through science education. Electronic Proceedings of the ESERA 2019 Conference. </i> (pp. 751–759). ALMA MATER STUDIORUM - University of Bologna.","ieee":"P. Pollmeier and S. Fechner, “Creativity in data analysis through confrontation with anomalous data,” in <i>The beauty and pleasure of understanding: engaging with contemporary challenges through science education. Electronic Proceedings of the ESERA 2019 Conference. </i>, Bologna, 2019, pp. 751–759.","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.","chicago":"Pollmeier, Pascal, and Sabine Fechner. “Creativity in Data Analysis through Confrontation with Anomalous Data.” In <i>The Beauty and Pleasure of Understanding: Engaging with Contemporary Challenges through Science Education. Electronic Proceedings of the ESERA 2019 Conference. </i>, edited by Olivia Levrini, Giulia Tasquir, Ebru Kaya, and Veli-Matti Vesterinen, 751–59. Bologna: ALMA MATER STUDIORUM - University of Bologna, 2019."},"place":"Bologna"},{"publication":"Proceedings of the 18th Koli Calling International Conference on Computing Education Research - Koli Calling '18","issue":"17","citation":{"apa":"Heinemann, B., Opel, S., Budde, L., Schulte, C., Frischemeier, D., Biehler, R., … Wassong, T. (2018). Drafting a Data Science Curriculum for Secondary Schools. <i>Proceedings of the 18th Koli Calling International Conference on Computing Education Research - Koli Calling ’18</i>, (17), 1–5. <a href=\"https://doi.org/10.1145/3279720.3279737\">https://doi.org/10.1145/3279720.3279737</a>","ieee":"B. Heinemann <i>et al.</i>, “Drafting a Data Science Curriculum for Secondary Schools,” <i>Proceedings of the 18th Koli Calling International Conference on Computing Education Research - Koli Calling ’18</i>, no. 17, pp. 1–5, 2018.","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.","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.” <i>Proceedings of the 18th Koli Calling International Conference on Computing Education Research - Koli Calling ’18</i>, no. 17 (2018): 1–5. <a href=\"https://doi.org/10.1145/3279720.3279737\">https://doi.org/10.1145/3279720.3279737</a>.","mla":"Heinemann, Birte, et al. “Drafting a Data Science Curriculum for Secondary Schools.” <i>Proceedings of the 18th Koli Calling International Conference on Computing Education Research - Koli Calling ’18</i>, no. 17, 2018, pp. 1–5, doi:<a href=\"https://doi.org/10.1145/3279720.3279737\">10.1145/3279720.3279737</a>.","ama":"Heinemann B, Opel S, Budde L, et al. Drafting a Data Science Curriculum for Secondary Schools. <i>Proceedings of the 18th Koli Calling International Conference on Computing Education Research - Koli Calling ’18</i>. 2018;(17):1-5. doi:<a href=\"https://doi.org/10.1145/3279720.3279737\">10.1145/3279720.3279737</a>","bibtex":"@article{Heinemann_Opel_Budde_Schulte_Frischemeier_Biehler_Podworny_Wassong_2018, title={Drafting a Data Science Curriculum for Secondary Schools}, DOI={<a href=\"https://doi.org/10.1145/3279720.3279737\">10.1145/3279720.3279737</a>}, 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} }"},"date_created":"2018-11-27T10:44:10Z","keyword":["Curriculum Development","Data Science","Secondary Sc","acm reference format","big data","curriculum development","data literacy","data science","educa-","interdisciplinary","secondary schools","tion"],"type":"journal_article","year":"2018","title":"Drafting a Data Science Curriculum for Secondary Schools","status":"public","publication_identifier":{"isbn":["9781450365352"]},"author":[{"full_name":"Heinemann, Birte","last_name":"Heinemann","first_name":"Birte"},{"full_name":"Opel, Simone","last_name":"Opel","first_name":"Simone"},{"full_name":"Budde, Lea","first_name":"Lea","last_name":"Budde"},{"first_name":"Carsten","last_name":"Schulte","full_name":"Schulte, Carsten"},{"last_name":"Frischemeier","first_name":"Daniel","full_name":"Frischemeier, Daniel"},{"last_name":"Biehler","first_name":"Rolf","full_name":"Biehler, Rolf"},{"full_name":"Podworny, Susanne","last_name":"Podworny","first_name":"Susanne"},{"id":"21241","full_name":"Wassong, Thomas","first_name":"Thomas","last_name":"Wassong"}],"publication_status":"published","date_updated":"2022-01-06T07:02:47Z","page":"1-5","language":[{"iso":"eng"}],"_id":"5910","user_id":"21241","doi":"10.1145/3279720.3279737"},{"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."}],"publication":"Proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS)","department":[{"_id":"63"},{"_id":"79"}],"keyword":["Self-Stabilizing","Prefix Search","Distributed Data Structure"],"type":"conference","date_created":"2018-09-17T13:12:18Z","file":[{"relation":"main_file","date_updated":"2018-11-02T14:38:37Z","file_name":"ASelf-stabilizingHashedPatrici.pdf","access_level":"closed","file_size":500005,"file_id":"5277","success":1,"content_type":"application/pdf","creator":"ups","date_created":"2018-11-02T14:38:37Z"}],"intvolume":"     11201","date_updated":"2022-01-06T07:01:02Z","author":[{"orcid":"0000-0003-2014-4696","first_name":"Till","last_name":"Knollmann","full_name":"Knollmann, Till","id":"39241"},{"id":"20792","full_name":"Scheideler, Christian","last_name":"Scheideler","first_name":"Christian"}],"title":"A Self-Stabilizing Hashed Patricia Trie","year":"2018","doi":"10.1007/978-3-030-03232-6_1","series_title":"Lecture Notes of Computer Science","language":[{"iso":"eng"}],"project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Project Area A","_id":"2"},{"name":"SFB 901 - Subproject A1","_id":"5"}],"citation":{"ieee":"T. Knollmann and C. Scheideler, “A Self-Stabilizing Hashed Patricia Trie,” in <i>Proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS)</i>, Tokyo, 2018, vol. 11201.","apa":"Knollmann, T., &#38; Scheideler, C. (2018). A Self-Stabilizing Hashed Patricia Trie. In T. Izumi &#38; P. Kuznetsov (Eds.), <i>Proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS)</i> (Vol. 11201). Tokyo: Springer, Cham. <a href=\"https://doi.org/10.1007/978-3-030-03232-6_1\">https://doi.org/10.1007/978-3-030-03232-6_1</a>","chicago":"Knollmann, Till, and Christian Scheideler. “A Self-Stabilizing Hashed Patricia Trie.” In <i>Proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS)</i>, edited by Taisuke Izumi and Petr Kuznetsov, Vol. 11201. Lecture Notes of Computer Science. Springer, Cham, 2018. <a href=\"https://doi.org/10.1007/978-3-030-03232-6_1\">https://doi.org/10.1007/978-3-030-03232-6_1</a>.","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.","mla":"Knollmann, Till, and Christian Scheideler. “A Self-Stabilizing Hashed Patricia Trie.” <i>Proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS)</i>, edited by Taisuke Izumi and Petr Kuznetsov, vol. 11201, Springer, Cham, 2018, doi:<a href=\"https://doi.org/10.1007/978-3-030-03232-6_1\">10.1007/978-3-030-03232-6_1</a>.","bibtex":"@inproceedings{Knollmann_Scheideler_2018, series={Lecture Notes of Computer Science}, title={A Self-Stabilizing Hashed Patricia Trie}, volume={11201}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-03232-6_1\">10.1007/978-3-030-03232-6_1</a>}, 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} }","ama":"Knollmann T, Scheideler C. A Self-Stabilizing Hashed Patricia Trie. In: Izumi T, Kuznetsov P, eds. <i>Proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS)</i>. Vol 11201. Lecture Notes of Computer Science. Springer, Cham; 2018. doi:<a href=\"https://doi.org/10.1007/978-3-030-03232-6_1\">10.1007/978-3-030-03232-6_1</a>"},"file_date_updated":"2018-11-02T14:38:37Z","external_id":{"arxiv":["1809.04923"]},"has_accepted_license":"1","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"},"status":"public","volume":11201,"editor":[{"full_name":"Izumi, Taisuke","last_name":"Izumi","first_name":"Taisuke"},{"last_name":"Kuznetsov","first_name":"Petr","full_name":"Kuznetsov, Petr"}],"user_id":"39241","ddc":["000"],"_id":"4411","publisher":"Springer, Cham"},{"citation":{"chicago":"Kersting, Joschka, Michaela Geierhos, Hanmin Jung, and Taehong Kim. “Internet of Things Architecture for Handling Stream Air Pollution Data.” In <i>Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security</i>, edited by Muthu Ramachandran, Víctor Méndez Muñoz, Verena Kantere, Gary Wills, Robert Walters, and Victor Chang, 117–24. Setúbal, Portugal: SCITEPRESS, 2017. <a href=\"https://doi.org/10.5220/0006354801170124\">https://doi.org/10.5220/0006354801170124</a>.","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.","apa":"Kersting, J., Geierhos, M., Jung, H., &#38; Kim, T. (2017). Internet of Things Architecture for Handling Stream Air Pollution Data. In M. Ramachandran, V. Méndez Muñoz, V. Kantere, G. Wills, R. Walters, &#38; V. Chang (Eds.), <i>Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security</i> (pp. 117–124). Setúbal, Portugal: SCITEPRESS. <a href=\"https://doi.org/10.5220/0006354801170124\">https://doi.org/10.5220/0006354801170124</a>","ieee":"J. Kersting, M. Geierhos, H. Jung, and T. Kim, “Internet of Things Architecture for Handling Stream Air Pollution Data,” in <i>Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security</i>, Porto, Portugal, 2017, pp. 117–124.","ama":"Kersting J, Geierhos M, Jung H, Kim T. Internet of Things Architecture for Handling Stream Air Pollution Data. In: Ramachandran M, Méndez Muñoz V, Kantere V, Wills G, Walters R, Chang V, eds. <i>Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security</i>. Setúbal, Portugal: SCITEPRESS; 2017:117-124. doi:<a href=\"https://doi.org/10.5220/0006354801170124\">10.5220/0006354801170124</a>","bibtex":"@inproceedings{Kersting_Geierhos_Jung_Kim_2017, place={Setúbal, Portugal}, title={Internet of Things Architecture for Handling Stream Air Pollution Data}, DOI={<a href=\"https://doi.org/10.5220/0006354801170124\">10.5220/0006354801170124</a>}, booktitle={Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security}, publisher={SCITEPRESS}, author={Kersting, Joschka and Geierhos, Michaela and Jung, Hanmin and Kim, Taehong}, editor={Ramachandran, Muthu and Méndez Muñoz, Víctor and Kantere, Verena and Wills, Gary and Walters, Robert and Chang, VictorEditors}, year={2017}, pages={117–124} }","mla":"Kersting, Joschka, et al. “Internet of Things Architecture for Handling Stream Air Pollution Data.” <i>Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security</i>, edited by Muthu Ramachandran et al., SCITEPRESS, 2017, pp. 117–24, doi:<a href=\"https://doi.org/10.5220/0006354801170124\">10.5220/0006354801170124</a>."},"file_date_updated":"2020-09-18T09:09:27Z","quality_controlled":"1","place":"Setúbal, Portugal","conference":{"start_date":"2017-04-24","name":"2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017)","location":"Porto, Portugal","end_date":"2017-04-26"},"status":"public","has_accepted_license":"1","publisher":"SCITEPRESS","_id":"1156","page":"117-124","editor":[{"last_name":"Ramachandran","first_name":"Muthu","full_name":"Ramachandran, Muthu"},{"last_name":"Méndez Muñoz","first_name":"Víctor","full_name":"Méndez Muñoz, Víctor"},{"full_name":"Kantere, Verena","first_name":"Verena","last_name":"Kantere"},{"last_name":"Wills","first_name":"Gary","full_name":"Wills, Gary"},{"last_name":"Walters","first_name":"Robert","full_name":"Walters, Robert"},{"last_name":"Chang","first_name":"Victor","full_name":"Chang, Victor"}],"user_id":"58701","ddc":["000"],"publication":"Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security","abstract":[{"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.","lang":"eng"}],"date_created":"2018-01-31T14:45:21Z","file":[{"file_id":"19567","success":1,"content_type":"application/pdf","relation":"main_file","date_updated":"2020-09-18T09:09:27Z","file_name":"IoTBDS_2017_50_final.pdf","file_size":2612566,"access_level":"closed","date_created":"2020-09-18T09:09:27Z","creator":"jkers"}],"department":[{"_id":"36"},{"_id":"1"},{"_id":"579"}],"type":"conference","keyword":["Wireless Sensor Network","Internet of Things","Stream Data","Air Pollution","DSMS","Real-time Data Processing"],"publication_identifier":{"isbn":["978-989-758-245-5"]},"author":[{"id":"58701","last_name":"Kersting","first_name":"Joschka","full_name":"Kersting, Joschka"},{"first_name":"Michaela","orcid":"0000-0002-8180-5606","last_name":"Geierhos","full_name":"Geierhos, Michaela","id":"42496"},{"last_name":"Jung","first_name":"Hanmin","full_name":"Jung, Hanmin"},{"full_name":"Kim, Taehong","last_name":"Kim","first_name":"Taehong"}],"title":"Internet of Things Architecture for Handling Stream Air Pollution Data","year":"2017","publication_status":"published","date_updated":"2022-01-06T06:51:03Z","language":[{"iso":"eng"}],"doi":"10.5220/0006354801170124"}]