[{"title":"Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing","conference":{"name":"SMSI 2023. Sensor and Measurement Science International","start_date":"2023-05-08","end_date":"2023-05-11","location":"Nuremberg"},"doi":"10.5162/smsi2023/d7.4","publisher":"AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany","date_updated":"2024-03-25T11:05:53Z","date_created":"2024-03-25T10:16:24Z","author":[{"last_name":"Gräßler","orcid":"0000-0001-5765-971X","id":"47565","full_name":"Gräßler, Iris","first_name":"Iris"},{"full_name":"Hieb, Michael","id":"72252","last_name":"Hieb","first_name":"Michael"}],"year":"2023","citation":{"apa":"Gräßler, I., &#38; Hieb, M. (2023). Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing. <i>Lectures</i>, 253–524. <a href=\"https://doi.org/10.5162/smsi2023/d7.4\">https://doi.org/10.5162/smsi2023/d7.4</a>","mla":"Gräßler, Iris, and Michael Hieb. “Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing.” <i>Lectures</i>, AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2023, pp. 253–524, doi:<a href=\"https://doi.org/10.5162/smsi2023/d7.4\">10.5162/smsi2023/d7.4</a>.","bibtex":"@inproceedings{Gräßler_Hieb_2023, title={Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing}, DOI={<a href=\"https://doi.org/10.5162/smsi2023/d7.4\">10.5162/smsi2023/d7.4</a>}, booktitle={Lectures}, publisher={AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany}, author={Gräßler, Iris and Hieb, Michael}, year={2023}, pages={253–524} }","short":"I. Gräßler, M. Hieb, in: Lectures, AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2023, pp. 253–524.","chicago":"Gräßler, Iris, and Michael Hieb. “Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing.” In <i>Lectures</i>, 253–524. AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2023. <a href=\"https://doi.org/10.5162/smsi2023/d7.4\">https://doi.org/10.5162/smsi2023/d7.4</a>.","ieee":"I. Gräßler and M. Hieb, “Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing,” in <i>Lectures</i>, Nuremberg, 2023, pp. 253–524, doi: <a href=\"https://doi.org/10.5162/smsi2023/d7.4\">10.5162/smsi2023/d7.4</a>.","ama":"Gräßler I, Hieb M. Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing. In: <i>Lectures</i>. AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany; 2023:253-524. doi:<a href=\"https://doi.org/10.5162/smsi2023/d7.4\">10.5162/smsi2023/d7.4</a>"},"page":"253-524","publication_status":"published","quality_controlled":"1","keyword":["synthetic training data","machine vision quality gates","deep learning","automated inspection and quality control","production control"],"language":[{"iso":"eng"}],"_id":"52816","user_id":"5905","department":[{"_id":"152"}],"abstract":[{"text":"Manufacturing companies face the challenge of reaching required quality standards. Using\r\noptical sensors and deep learning might help. However, training deep learning algorithms\r\nrequire large amounts of visual training data. Using domain randomization to generate synthetic\r\nimage data can alleviate this bottleneck. This paper presents the application of synthetic\r\nimage training data for optical quality inspections using visual sensor technology. The results\r\nshow synthetically generated training data are appropriate for visual quality inspections.","lang":"eng"}],"status":"public","type":"conference","publication":"Lectures"},{"type":"misc","abstract":[{"text":"This release covers the state of this prototype app at the end of the funding phase for the Paderborn University part of the Beethoven in the House project. It uses https://api.domestic-beethoven.eu/ld/BithCollection.jsonld as starting point for traversing the LOD graph, and reads data from the project pod available from https://bith.solidcommunity.net/public/bith.ttl (which has no content at the time of the release).","lang":"eng"}],"status":"public","_id":"55850","department":[{"_id":"874"}],"user_id":"1684","keyword":["MEI","Edirom","Music Encoding Initiative","Linked Open Data","MELD"],"language":[{"iso":"eng"}],"publication_status":"published","year":"2023","citation":{"ama":"Kepper J. <i>DomesticBeethoven/Bith-Annotator: Release 2023-04</i>. Zenodo; 2023. doi:<a href=\"https://doi.org/10.5281/ZENODO.7877741\">10.5281/ZENODO.7877741</a>","ieee":"J. Kepper, <i>DomesticBeethoven/bith-annotator: Release 2023-04</i>. Zenodo, 2023.","chicago":"Kepper, Johannes. <i>DomesticBeethoven/Bith-Annotator: Release 2023-04</i>. Zenodo, 2023. <a href=\"https://doi.org/10.5281/ZENODO.7877741\">https://doi.org/10.5281/ZENODO.7877741</a>.","mla":"Kepper, Johannes. <i>DomesticBeethoven/Bith-Annotator: Release 2023-04</i>. Zenodo, 2023, doi:<a href=\"https://doi.org/10.5281/ZENODO.7877741\">10.5281/ZENODO.7877741</a>.","bibtex":"@book{Kepper_2023, title={DomesticBeethoven/bith-annotator: Release 2023-04}, DOI={<a href=\"https://doi.org/10.5281/ZENODO.7877741\">10.5281/ZENODO.7877741</a>}, publisher={Zenodo}, author={Kepper, Johannes}, year={2023} }","short":"J. Kepper, DomesticBeethoven/Bith-Annotator: Release 2023-04, Zenodo, 2023.","apa":"Kepper, J. (2023). <i>DomesticBeethoven/bith-annotator: Release 2023-04</i>. Zenodo. <a href=\"https://doi.org/10.5281/ZENODO.7877741\">https://doi.org/10.5281/ZENODO.7877741</a>"},"publisher":"Zenodo","date_updated":"2024-08-28T13:59:52Z","oa":"1","date_created":"2024-08-28T11:48:31Z","author":[{"full_name":"Kepper, Johannes","last_name":"Kepper","first_name":"Johannes"}],"title":"DomesticBeethoven/bith-annotator: Release 2023-04","doi":"10.5281/ZENODO.7877741","main_file_link":[{"open_access":"1","url":"https://zenodo.org/record/7877741"}]},{"keyword":["BitH","Linked Data"],"language":[{"iso":"eng"}],"publication":"Proceedings of the Music Encoding Conference 2022","abstract":[{"text":"We present a new multi-layered, conceptual model for associating musical source materials to musicological arguments. We describe our proposal for operationalizing these concepts through a framework for musical annotation which we have implemented using RDF. Briefly stated, this model shows how portions of digitized data in various files and formats can be identified, selected, labelled, and compared.","lang":"eng"}],"date_created":"2024-08-28T11:41:59Z","title":"A New Conceptual Model for Musical Sources and Musicological Studies","year":"2023","_id":"55833","user_id":"1684","department":[{"_id":"874"}],"type":"conference","editor":[{"full_name":"Weigl, David","last_name":"Weigl","first_name":"David"},{"first_name":"Jennifer","full_name":"Bain, Jennifer","last_name":"Bain"},{"first_name":"Ailynn","full_name":"Ang, Ailynn","last_name":"Ang"}],"status":"public","oa":"1","date_updated":"2024-08-28T14:12:33Z","author":[{"last_name":"Shibata","full_name":"Shibata, Elisabete","first_name":"Elisabete"},{"full_name":"Lewis, David","last_name":"Lewis","first_name":"David"},{"first_name":"Mark","full_name":"Saccomano, Mark","last_name":"Saccomano"},{"id":"1684","full_name":"Kepper, Johannes","orcid":"0000-0003-4891-260X","last_name":"Kepper","first_name":"Johannes"},{"first_name":"Kevin","last_name":"Page","full_name":"Page, Kevin"}],"main_file_link":[{"open_access":"1","url":"https://hcommons.org/deposits/item/hc:59295/"}],"doi":"https://doi.org/10.17613/8p2c-1q77","publication_status":"published","place":"Halifax, Nova Scotia, Canada","citation":{"apa":"Shibata, E., Lewis, D., Saccomano, M., Kepper, J., &#38; Page, K. (2023). A New Conceptual Model for Musical Sources and Musicological Studies. In D. Weigl, J. Bain, &#38; A. Ang (Eds.), <i>Proceedings of the Music Encoding Conference 2022</i> (pp. 145–150). <a href=\"https://doi.org/10.17613/8p2c-1q77\">https://doi.org/10.17613/8p2c-1q77</a>","bibtex":"@inproceedings{Shibata_Lewis_Saccomano_Kepper_Page_2023, place={Halifax, Nova Scotia, Canada}, title={A New Conceptual Model for Musical Sources and Musicological Studies}, DOI={<a href=\"https://doi.org/10.17613/8p2c-1q77\">https://doi.org/10.17613/8p2c-1q77</a>}, booktitle={Proceedings of the Music Encoding Conference 2022}, author={Shibata, Elisabete and Lewis, David and Saccomano, Mark and Kepper, Johannes and Page, Kevin}, editor={Weigl, David and Bain, Jennifer and Ang, Ailynn}, year={2023}, pages={145–150} }","mla":"Shibata, Elisabete, et al. “A New Conceptual Model for Musical Sources and Musicological Studies.” <i>Proceedings of the Music Encoding Conference 2022</i>, edited by David Weigl et al., 2023, pp. 145–150, doi:<a href=\"https://doi.org/10.17613/8p2c-1q77\">https://doi.org/10.17613/8p2c-1q77</a>.","short":"E. Shibata, D. Lewis, M. Saccomano, J. Kepper, K. Page, in: D. Weigl, J. Bain, A. Ang (Eds.), Proceedings of the Music Encoding Conference 2022, Halifax, Nova Scotia, Canada, 2023, pp. 145–150.","ieee":"E. Shibata, D. Lewis, M. Saccomano, J. Kepper, and K. Page, “A New Conceptual Model for Musical Sources and Musicological Studies,” in <i>Proceedings of the Music Encoding Conference 2022</i>, 2023, pp. 145–150, doi: <a href=\"https://doi.org/10.17613/8p2c-1q77\">https://doi.org/10.17613/8p2c-1q77</a>.","chicago":"Shibata, Elisabete, David Lewis, Mark Saccomano, Johannes Kepper, and Kevin Page. “A New Conceptual Model for Musical Sources and Musicological Studies.” In <i>Proceedings of the Music Encoding Conference 2022</i>, edited by David Weigl, Jennifer Bain, and Ailynn Ang, 145–150. Halifax, Nova Scotia, Canada, 2023. <a href=\"https://doi.org/10.17613/8p2c-1q77\">https://doi.org/10.17613/8p2c-1q77</a>.","ama":"Shibata E, Lewis D, Saccomano M, Kepper J, Page K. A New Conceptual Model for Musical Sources and Musicological Studies. In: Weigl D, Bain J, Ang A, eds. <i>Proceedings of the Music Encoding Conference 2022</i>. ; 2023:145–150. doi:<a href=\"https://doi.org/10.17613/8p2c-1q77\">https://doi.org/10.17613/8p2c-1q77</a>"},"page":"145–150"},{"department":[{"_id":"874"}],"user_id":"1684","_id":"55832","language":[{"iso":"eng"}],"keyword":["BitH","Linked Data"],"type":"conference","status":"public","abstract":[{"lang":"eng","text":"Digital musicology research often proceeds by extending and enriching its evidence base as it progresses, rather than starting with a complete corpus of data and metadata, as a consequence of an emergent research need. In this paper, we consider a research workflow which assumes an incremental approach to data gathering and annotation. We describe tooling which implements parts of this workflow, developed to support the study of nineteenth-century music arrangements, and evaluate the applicability of our approach through interviews with musicologists and music editors who have used the tools. We conclude by considering extensions of this approach and the wider implications for digital musicology and music information retrieval."}],"author":[{"full_name":"Lewis, David","last_name":"Lewis","first_name":"David"},{"first_name":"Elisabete","last_name":"Shibata","full_name":"Shibata, Elisabete"},{"last_name":"Hankinson","full_name":"Hankinson, Andrew","first_name":"Andrew"},{"last_name":"Kepper","orcid":"0000-0003-4891-260X","id":"1684","full_name":"Kepper, Johannes","first_name":"Johannes"},{"full_name":"Page, Kevin R.","last_name":"Page","first_name":"Kevin R."},{"full_name":"Rosendahl, Lisa","last_name":"Rosendahl","first_name":"Lisa"},{"first_name":"Mark","last_name":"Saccomano","full_name":"Saccomano, Mark"},{"full_name":"Siegert, Christine","last_name":"Siegert","first_name":"Christine"}],"date_created":"2024-08-28T11:41:41Z","date_updated":"2024-08-28T14:14:55Z","oa":"1","doi":"10.5281/ZENODO.10265407","main_file_link":[{"url":"https://zenodo.org/records/10265407/files/000094.pdf?download=1","open_access":"1"}],"title":"Supporting Musicological Investigations With Information Retrieval Tools: An Iterative Approach to Data Collection","publication_status":"published","citation":{"ieee":"D. Lewis <i>et al.</i>, “Supporting Musicological Investigations With Information Retrieval Tools: An Iterative Approach to Data Collection,” 2023, doi: <a href=\"https://doi.org/10.5281/ZENODO.10265407\">10.5281/ZENODO.10265407</a>.","chicago":"Lewis, David, Elisabete Shibata, Andrew Hankinson, Johannes Kepper, Kevin R. Page, Lisa Rosendahl, Mark Saccomano, and Christine Siegert. “Supporting Musicological Investigations With Information Retrieval Tools: An Iterative Approach to Data Collection,” 2023. <a href=\"https://doi.org/10.5281/ZENODO.10265407\">https://doi.org/10.5281/ZENODO.10265407</a>.","ama":"Lewis D, Shibata E, Hankinson A, et al. Supporting Musicological Investigations With Information Retrieval Tools: An Iterative Approach to Data Collection. In: ; 2023. doi:<a href=\"https://doi.org/10.5281/ZENODO.10265407\">10.5281/ZENODO.10265407</a>","short":"D. Lewis, E. Shibata, A. Hankinson, J. Kepper, K.R. Page, L. Rosendahl, M. Saccomano, C. Siegert, in: 2023.","mla":"Lewis, David, et al. <i>Supporting Musicological Investigations With Information Retrieval Tools: An Iterative Approach to Data Collection</i>. 2023, doi:<a href=\"https://doi.org/10.5281/ZENODO.10265407\">10.5281/ZENODO.10265407</a>.","bibtex":"@inproceedings{Lewis_Shibata_Hankinson_Kepper_Page_Rosendahl_Saccomano_Siegert_2023, title={Supporting Musicological Investigations With Information Retrieval Tools: An Iterative Approach to Data Collection}, DOI={<a href=\"https://doi.org/10.5281/ZENODO.10265407\">10.5281/ZENODO.10265407</a>}, author={Lewis, David and Shibata, Elisabete and Hankinson, Andrew and Kepper, Johannes and Page, Kevin R. and Rosendahl, Lisa and Saccomano, Mark and Siegert, Christine}, year={2023} }","apa":"Lewis, D., Shibata, E., Hankinson, A., Kepper, J., Page, K. R., Rosendahl, L., Saccomano, M., &#38; Siegert, C. (2023). <i>Supporting Musicological Investigations With Information Retrieval Tools: An Iterative Approach to Data Collection</i>. <a href=\"https://doi.org/10.5281/ZENODO.10265407\">https://doi.org/10.5281/ZENODO.10265407</a>"},"year":"2023"},{"_id":"37497","user_id":"82872","keyword":["GIS","Industry 4.0","and Sustainability","geographic information systems","geospatial data","gis","information systems research","literature review"],"language":[{"iso":"eng"}],"type":"conference","publication":"Proceedings of the 56th Hawaii International Conference on System Sciences","abstract":[{"lang":"eng","text":"Since historical times, cartographic maps have revealed spatial relations and enabled decisions and processes. Geographic Information Systems (GIS) allow for acquisition, management, analysis, and presentation of geospatial objects. With free geospatial data becoming available through open data policies and an increasing amount of digitally connected objects in the Internet of Things (IoT), GIS are becoming indispensable to Information Systems (IS) research. However, the consideration and relevance of GIS has only been investigated rarely. We examine, how and in which fields of application GIS have been studied in the IS literature and elicit the importance of GIS regarding their design and usage. A systematic literature review leads us to develop four research propositions. Our results indicate that GIS are still an undeservedly underrepresented discipline in IS and should be more theorized, put center-stage in design-oriented research, and considered for creating superior value co-creation in service systems."}],"editor":[{"first_name":"T.X.","last_name":"Bui","full_name":"Bui, T.X."},{"last_name":"Sprague","full_name":"Sprague, R.H.","first_name":"R.H."}],"status":"public","date_updated":"2023-01-19T06:32:30Z","author":[{"first_name":"Jennifer","last_name":"Priefer","id":"82872","full_name":"Priefer, Jennifer"}],"date_created":"2023-01-19T06:32:14Z","title":"Geographic Information Systems in Information Systems Research - Review and Research Prospects","main_file_link":[{"url":"https://hdl.handle.net/10125/103252"}],"conference":{"name":"56th Hawaii International Conference on System Sciences"},"year":"2023","citation":{"apa":"Priefer, J. (2023). Geographic Information Systems in Information Systems Research - Review and Research Prospects. In T. X. Bui &#38; R. H. Sprague (Eds.), <i>Proceedings of the 56th Hawaii International Conference on System Sciences</i>.","mla":"Priefer, Jennifer. “Geographic Information Systems in Information Systems Research - Review and Research Prospects.” <i>Proceedings of the 56th Hawaii International Conference on System Sciences</i>, edited by T.X. Bui and R.H. Sprague, 2023.","short":"J. Priefer, in: T.X. Bui, R.H. Sprague (Eds.), Proceedings of the 56th Hawaii International Conference on System Sciences, 2023.","bibtex":"@inproceedings{Priefer_2023, title={Geographic Information Systems in Information Systems Research - Review and Research Prospects}, booktitle={Proceedings of the 56th Hawaii International Conference on System Sciences}, author={Priefer, Jennifer}, editor={Bui, T.X. and Sprague, R.H.}, year={2023} }","ama":"Priefer J. Geographic Information Systems in Information Systems Research - Review and Research Prospects. In: Bui TX, Sprague RH, eds. <i>Proceedings of the 56th Hawaii International Conference on System Sciences</i>. ; 2023.","ieee":"J. Priefer, “Geographic Information Systems in Information Systems Research - Review and Research Prospects,” in <i>Proceedings of the 56th Hawaii International Conference on System Sciences</i>, 2023.","chicago":"Priefer, Jennifer. “Geographic Information Systems in Information Systems Research - Review and Research Prospects.” In <i>Proceedings of the 56th Hawaii International Conference on System Sciences</i>, edited by T.X. Bui and R.H. Sprague, 2023."}},{"abstract":[{"text":"The global megatrends of digitization and sustainability lead to new challenges for the design and management of technical products in industrial companies. Product management - as the bridge between market and company - has the task to absorb and combine the manifold requirements and make the right product-related decisions. In the process, product management is confronted with heterogeneous information, rapidly changing portfolio components, as well as increasing product, and organizational complexity. Combining and utilizing data from different sources, e.g., product usage data and social media data leads to promising potentials to improve the quality of product-related decisions. In this paper, we reinforce the need for data-driven product management as an interdisciplinary field of action. The state of data-driven product management in practice was analyzed by conducting workshops with six manufacturing companies and hosting a focus group meeting with experts from different industries. We investigate the expectations and derive requirements leading us to open research questions, a vision for data-driven product management, and a research agenda to shape future research efforts.","lang":"eng"}],"status":"public","publication":"Procedia CIRP 33","type":"conference","keyword":["Product Management","Data Analytics","Data-Driven Design","Product-related data","Lifecycle Data","Tool-support"],"language":[{"iso":"eng"}],"_id":"45793","department":[{"_id":"563"},{"_id":"241"}],"user_id":"66731","year":"2023","citation":{"chicago":"Grigoryan, Khoren, Timm Fichtler, Nick Schreiner, Martin Rabe, Melina Panzner, Arno Kühn, Roman Dumitrescu, and Christian Koldewey. “Data-Driven Product Management: A Practitioner-Driven Research Agenda.” In <i>Procedia CIRP 33</i>, 2023.","ieee":"K. Grigoryan <i>et al.</i>, “Data-Driven Product Management: A Practitioner-Driven Research Agenda,” presented at the 33rd CIRP Design Conference, Sydney, 2023.","apa":"Grigoryan, K., Fichtler, T., Schreiner, N., Rabe, M., Panzner, M., Kühn, A., Dumitrescu, R., &#38; Koldewey, C. (2023). Data-Driven Product Management: A Practitioner-Driven Research Agenda. <i>Procedia CIRP 33</i>. 33rd CIRP Design Conference, Sydney.","ama":"Grigoryan K, Fichtler T, Schreiner N, et al. Data-Driven Product Management: A Practitioner-Driven Research Agenda. In: <i>Procedia CIRP 33</i>. ; 2023.","short":"K. Grigoryan, T. Fichtler, N. Schreiner, M. Rabe, M. Panzner, A. Kühn, R. Dumitrescu, C. Koldewey, in: Procedia CIRP 33, 2023.","mla":"Grigoryan, Khoren, et al. “Data-Driven Product Management: A Practitioner-Driven Research Agenda.” <i>Procedia CIRP 33</i>, 2023.","bibtex":"@inproceedings{Grigoryan_Fichtler_Schreiner_Rabe_Panzner_Kühn_Dumitrescu_Koldewey_2023, title={Data-Driven Product Management: A Practitioner-Driven Research Agenda}, booktitle={Procedia CIRP 33}, author={Grigoryan, Khoren and Fichtler, Timm and Schreiner, Nick and Rabe, Martin and Panzner, Melina and Kühn, Arno and Dumitrescu, Roman and Koldewey, Christian}, year={2023} }"},"title":"Data-Driven Product Management: A Practitioner-Driven Research Agenda","conference":{"location":"Sydney","name":"33rd CIRP Design Conference"},"date_updated":"2023-06-27T13:57:42Z","date_created":"2023-06-27T13:46:45Z","author":[{"full_name":"Grigoryan, Khoren","last_name":"Grigoryan","first_name":"Khoren"},{"first_name":"Timm","id":"66731","full_name":"Fichtler, Timm","orcid":"https://orcid.org/0000-0001-6034-4399","last_name":"Fichtler"},{"last_name":"Schreiner","full_name":"Schreiner, Nick","first_name":"Nick"},{"first_name":"Martin","full_name":"Rabe, Martin","last_name":"Rabe"},{"last_name":"Panzner","id":"72658","full_name":"Panzner, Melina","first_name":"Melina"},{"first_name":"Arno","last_name":"Kühn","full_name":"Kühn, Arno"},{"first_name":"Roman","id":"16190","full_name":"Dumitrescu, Roman","last_name":"Dumitrescu"},{"first_name":"Christian","orcid":"https://orcid.org/0000-0001-7992-6399","last_name":"Koldewey","full_name":"Koldewey, Christian","id":"43136"}]},{"year":"2023","date_created":"2023-04-24T12:14:17Z","title":"Static Analysis for Android GDPR Compliance Assurance","publication":"2023 IEEE/ACM 45th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion), Melbourne, Australia, 2023, pp. 197-199","file":[{"success":1,"relation":"main_file","content_type":"application/pdf","file_size":85313,"file_id":"44147","file_name":"2023047614.pdf","access_level":"closed","date_updated":"2023-04-24T12:15:27Z","creator":"khedkarm","date_created":"2023-04-24T12:15:27Z"}],"abstract":[{"lang":"eng","text":"Many Android applications collect data from users. When they do, they must\r\nprotect this collected data according to the current legal frameworks. Such\r\ndata protection has become even more important since the European Union rolled\r\nout the General Data Protection Regulation (GDPR). App developers have limited\r\ntool support to reason about data protection throughout their app development\r\nprocess. Although many Android applications state a privacy policy, privacy\r\npolicy compliance checks are currently manual, expensive, and prone to error.\r\nOne of the major challenges in privacy audits is the significant gap between\r\nlegal privacy statements (in English text) and technical measures that Android\r\napps use to protect their user's privacy. In this thesis, we will explore to\r\nwhat extent we can use static analysis to answer important questions regarding\r\ndata protection. Our main goal is to design a tool based approach that aids app\r\ndevelopers and auditors in ensuring data protection in Android applications,\r\nbased on automated static program analysis."}],"external_id":{"arxiv":["2303.09606"]},"language":[{"iso":"eng"}],"ddc":["004"],"keyword":["static analysis","data protection and privacy","GDPR compliance"],"publication_status":"accepted","has_accepted_license":"1","citation":{"chicago":"Khedkar, Mugdha. “Static Analysis for Android GDPR Compliance Assurance.” In <i>2023 IEEE/ACM 45th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion), Melbourne, Australia, 2023, Pp. 197-199</i>, n.d. <a href=\"https://doi.org/10.1109/ICSE-Companion58688.2023.00054\">https://doi.org/10.1109/ICSE-Companion58688.2023.00054</a>.","ieee":"M. Khedkar, “Static Analysis for Android GDPR Compliance Assurance,” doi: <a href=\"https://doi.org/10.1109/ICSE-Companion58688.2023.00054\">10.1109/ICSE-Companion58688.2023.00054</a>.","ama":"Khedkar M. Static Analysis for Android GDPR Compliance Assurance. In: <i>2023 IEEE/ACM 45th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion), Melbourne, Australia, 2023, Pp. 197-199</i>. doi:<a href=\"https://doi.org/10.1109/ICSE-Companion58688.2023.00054\">10.1109/ICSE-Companion58688.2023.00054</a>","mla":"Khedkar, Mugdha. “Static Analysis for Android GDPR Compliance Assurance.” <i>2023 IEEE/ACM 45th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion), Melbourne, Australia, 2023, Pp. 197-199</i>, doi:<a href=\"https://doi.org/10.1109/ICSE-Companion58688.2023.00054\">10.1109/ICSE-Companion58688.2023.00054</a>.","bibtex":"@inproceedings{Khedkar, title={Static Analysis for Android GDPR Compliance Assurance}, DOI={<a href=\"https://doi.org/10.1109/ICSE-Companion58688.2023.00054\">10.1109/ICSE-Companion58688.2023.00054</a>}, booktitle={2023 IEEE/ACM 45th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion), Melbourne, Australia, 2023, pp. 197-199}, author={Khedkar, Mugdha} }","short":"M. Khedkar, in: 2023 IEEE/ACM 45th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion), Melbourne, Australia, 2023, Pp. 197-199, n.d.","apa":"Khedkar, M. (n.d.). Static Analysis for Android GDPR Compliance Assurance. <i>2023 IEEE/ACM 45th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion), Melbourne, Australia, 2023, Pp. 197-199</i>. <a href=\"https://doi.org/10.1109/ICSE-Companion58688.2023.00054\">https://doi.org/10.1109/ICSE-Companion58688.2023.00054</a>"},"author":[{"first_name":"Mugdha","last_name":"Khedkar","full_name":"Khedkar, Mugdha","id":"88024"}],"date_updated":"2024-09-16T08:46:25Z","doi":"10.1109/ICSE-Companion58688.2023.00054","type":"conference","status":"public","user_id":"88024","department":[{"_id":"76"}],"_id":"44146","file_date_updated":"2023-04-24T12:15:27Z"},{"page":"85-90","intvolume":"        56","citation":{"ama":"Götte R-S, Timmermann J. Estimating States and Model Uncertainties Jointly by a Sparsity Promoting UKF. In: <i>12th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2022)</i>. Vol 56. ; 2023:85-90. doi:<a href=\"https://doi.org/10.1016/j.ifacol.2023.02.015\">https://doi.org/10.1016/j.ifacol.2023.02.015</a>","ieee":"R.-S. Götte and J. Timmermann, “Estimating States and Model Uncertainties Jointly by a Sparsity Promoting UKF,” in <i>12th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2022)</i>, Canberra, Australien, 2023, vol. 56, no. 1, pp. 85–90, doi: <a href=\"https://doi.org/10.1016/j.ifacol.2023.02.015\">https://doi.org/10.1016/j.ifacol.2023.02.015</a>.","chicago":"Götte, Ricarda-Samantha, and Julia Timmermann. “Estimating States and Model Uncertainties Jointly by a Sparsity Promoting UKF.” In <i>12th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2022)</i>, 56:85–90, 2023. <a href=\"https://doi.org/10.1016/j.ifacol.2023.02.015\">https://doi.org/10.1016/j.ifacol.2023.02.015</a>.","bibtex":"@inproceedings{Götte_Timmermann_2023, title={Estimating States and Model Uncertainties Jointly by a Sparsity Promoting UKF}, volume={56}, DOI={<a href=\"https://doi.org/10.1016/j.ifacol.2023.02.015\">https://doi.org/10.1016/j.ifacol.2023.02.015</a>}, number={1}, booktitle={12th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2022)}, author={Götte, Ricarda-Samantha and Timmermann, Julia}, year={2023}, pages={85–90} }","short":"R.-S. Götte, J. Timmermann, in: 12th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2022), 2023, pp. 85–90.","mla":"Götte, Ricarda-Samantha, and Julia Timmermann. “Estimating States and Model Uncertainties Jointly by a Sparsity Promoting UKF.” <i>12th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2022)</i>, vol. 56, no. 1, 2023, pp. 85–90, doi:<a href=\"https://doi.org/10.1016/j.ifacol.2023.02.015\">https://doi.org/10.1016/j.ifacol.2023.02.015</a>.","apa":"Götte, R.-S., &#38; Timmermann, J. (2023). Estimating States and Model Uncertainties Jointly by a Sparsity Promoting UKF. <i>12th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2022)</i>, <i>56</i>(1), 85–90. <a href=\"https://doi.org/10.1016/j.ifacol.2023.02.015\">https://doi.org/10.1016/j.ifacol.2023.02.015</a>"},"year":"2023","issue":"1","quality_controlled":"1","doi":"https://doi.org/10.1016/j.ifacol.2023.02.015","conference":{"start_date":"2023-01-04","name":"12th IFAC Symposium on Nonlinear Control Systems NOLCOS 2022","location":"Canberra, Australien","end_date":"2023-01-06"},"title":"Estimating States and Model Uncertainties Jointly by a Sparsity Promoting UKF","volume":56,"author":[{"full_name":"Götte, Ricarda-Samantha","id":"43992","last_name":"Götte","first_name":"Ricarda-Samantha"},{"last_name":"Timmermann","id":"15402","full_name":"Timmermann, Julia","first_name":"Julia"}],"date_created":"2022-12-01T07:17:00Z","date_updated":"2024-11-13T08:43:05Z","status":"public","abstract":[{"lang":"eng","text":"State estimation when only a partial model of a considered system is available remains a major challenge in many engineering fields. This work proposes a joint, square-root unscented Kalman filter to estimate states and model uncertainties simultaneously by linear combinations of physics-motivated library functions. Using a sparsity promoting approach, a selection of those linear combinations is chosen and thus an interpretable model can be extracted. Results indicate a small estimation error compared to a traditional square-root unscented Kalman filter and exhibit the enhancement of physically meaningful models."}],"publication":"12th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2022)","type":"conference","language":[{"iso":"eng"}],"keyword":["joint estimation","unscented transform","Kalman filter","sparsity","data-driven","compressed sensing"],"department":[{"_id":"153"},{"_id":"880"}],"user_id":"43992","_id":"34171"},{"status":"public","type":"conference","file_date_updated":"2024-09-05T11:14:40Z","user_id":"58331","department":[{"_id":"632"}],"_id":"48012","citation":{"apa":"Rossel, J., Mladenov, V., &#38; Somorovsky, J. (2023). Security Analysis of the 3MF Data Format. <i>Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses</i>. 26th International Symposium on Research in Attacks, Intrusions and Defenses, Hongkong. <a href=\"https://doi.org/10.1145/3607199.3607216\">https://doi.org/10.1145/3607199.3607216</a>","mla":"Rossel, Jost, et al. “Security Analysis of the 3MF Data Format.” <i>Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses</i>, ACM, 2023, doi:<a href=\"https://doi.org/10.1145/3607199.3607216\">10.1145/3607199.3607216</a>.","bibtex":"@inproceedings{Rossel_Mladenov_Somorovsky_2023, title={Security Analysis of the 3MF Data Format}, DOI={<a href=\"https://doi.org/10.1145/3607199.3607216\">10.1145/3607199.3607216</a>}, booktitle={Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses}, publisher={ACM}, author={Rossel, Jost and Mladenov, Vladislav and Somorovsky, Juraj}, year={2023} }","short":"J. Rossel, V. Mladenov, J. Somorovsky, in: Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses, ACM, 2023.","ama":"Rossel J, Mladenov V, Somorovsky J. Security Analysis of the 3MF Data Format. In: <i>Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses</i>. ACM; 2023. doi:<a href=\"https://doi.org/10.1145/3607199.3607216\">10.1145/3607199.3607216</a>","chicago":"Rossel, Jost, Vladislav Mladenov, and Juraj Somorovsky. “Security Analysis of the 3MF Data Format.” In <i>Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses</i>. ACM, 2023. <a href=\"https://doi.org/10.1145/3607199.3607216\">https://doi.org/10.1145/3607199.3607216</a>.","ieee":"J. Rossel, V. Mladenov, and J. Somorovsky, “Security Analysis of the 3MF Data Format,” presented at the 26th International Symposium on Research in Attacks, Intrusions and Defenses, Hongkong, 2023, doi: <a href=\"https://doi.org/10.1145/3607199.3607216\">10.1145/3607199.3607216</a>."},"publication_status":"published","has_accepted_license":"1","main_file_link":[{"url":"https://dl.acm.org/doi/abs/10.1145/3607199.3607216"}],"doi":"10.1145/3607199.3607216","conference":{"location":"Hongkong","end_date":"2023-10-18","start_date":"2023-10-16","name":"26th International Symposium on Research in Attacks, Intrusions and Defenses"},"author":[{"first_name":"Jost","last_name":"Rossel","orcid":"0000-0002-3182-4059","full_name":"Rossel, Jost","id":"58331"},{"last_name":"Mladenov","full_name":"Mladenov, Vladislav","first_name":"Vladislav"},{"first_name":"Juraj","last_name":"Somorovsky","orcid":"0000-0002-3593-7720","id":"83504","full_name":"Somorovsky, Juraj"}],"date_updated":"2025-07-16T11:06:49Z","oa":"1","file":[{"content_type":"application/pdf","relation":"main_file","date_updated":"2024-09-05T11:14:40Z","creator":"jrossel","date_created":"2023-10-16T03:48:08Z","file_size":1054999,"access_level":"open_access","file_id":"48065","file_name":"Security_Analysis_of_the_3mf_Data_Format.pdf"}],"abstract":[{"text":"3D printing is a well-established technology with rapidly increasing usage scenarios both in the industry and consumer context. The growing popularity of 3D printing has also attracted security researchers, who have analyzed possibilities for weakening 3D models or stealing intellectual property from 3D models. We extend these important aspects and provide the first comprehensive security analysis of 3D printing data formats. We performed our systematic study on the example of the 3D Manufacturing Format (3MF), which offers a large variety of features that could lead to critical attacks. Based on 3MF’s features, we systematized three attack goals: Data Exfiltration (dex), Denial of Service, and UI Spoofing (uis). We achieve these goals by exploiting the complexity of 3MF, which is based on the Open Packaging Conventions (OPC) format and uses XML to define 3D models. In total, our analysis led to 352 tests. To create and run these tests automatically, we implemented an open-source tool named 3MF Analyzer (tool), which helped us evaluate 20 applications.","lang":"eng"}],"publication":"Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses","language":[{"iso":"eng"}],"ddc":["000"],"keyword":["Data Format Security","3D Manufacturing Format","3D Printing","Additive Manufacturing"],"year":"2023","quality_controlled":"1","title":"Security Analysis of the 3MF Data Format","date_created":"2023-10-11T13:42:09Z","publisher":"ACM"},{"_id":"48878","department":[{"_id":"819"}],"user_id":"102979","keyword":["big data","data mining","data stream analysis","machine learning","stream classification","supervised learning"],"language":[{"iso":"eng"}],"publication":"Applied Sciences","type":"journal_article","abstract":[{"lang":"eng","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."}],"status":"public","publisher":"{Multidisciplinary Digital Publishing Institute}","date_updated":"2023-12-13T10:50:56Z","volume":12,"date_created":"2023-11-14T15:58:57Z","author":[{"first_name":"Lena","last_name":"Clever","full_name":"Clever, Lena"},{"last_name":"Pohl","full_name":"Pohl, Janina Susanne","first_name":"Janina Susanne"},{"first_name":"Jakob","last_name":"Bossek","orcid":"0000-0002-4121-4668","id":"102979","full_name":"Bossek, Jakob"},{"first_name":"Pascal","last_name":"Kerschke","full_name":"Kerschke, Pascal"},{"first_name":"Heike","last_name":"Trautmann","full_name":"Trautmann, Heike"}],"title":"Process-Oriented Stream Classification Pipeline: A Literature Review","doi":"10.3390/app12189094","publication_identifier":{"issn":["2076-3417"]},"issue":"18","year":"2022","page":"9094","intvolume":"        12","citation":{"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>","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>.","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>","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} }","short":"L. Clever, J.S. Pohl, J. Bossek, P. Kerschke, H. Trautmann, Applied Sciences 12 (2022) 9094."}},{"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>.","short":"D. Beverungen, T. Hess, A. Köster, C. Lehrer, Electronic Markets 32 (2022) 493–501.","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>","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>","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>.","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>."},"intvolume":"        32","page":"493-501","publication_status":"published","has_accepted_license":"1","publication_identifier":{"issn":["1019-6781","1422-8890"]},"doi":"10.1007/s12525-022-00553-z","author":[{"id":"59677","full_name":"Beverungen, Daniel","last_name":"Beverungen","first_name":"Daniel"},{"last_name":"Hess","full_name":"Hess, Thomas","first_name":"Thomas"},{"full_name":"Köster, Antonia","last_name":"Köster","first_name":"Antonia"},{"last_name":"Lehrer","full_name":"Lehrer, Christiane","first_name":"Christiane"}],"volume":32,"date_updated":"2024-04-18T12:37:41Z","status":"public","type":"journal_article","file_date_updated":"2024-04-18T12:35:42Z","article_type":"letter_note","user_id":"59677","department":[{"_id":"526"}],"_id":"35728","year":"2022","quality_controlled":"1","title":"From private digital platforms to public data spaces: implications for the digital transformation","date_created":"2023-01-10T09:52:01Z","publisher":"Springer Science and Business Media LLC","file":[{"success":1,"relation":"main_file","content_type":"application/pdf","file_size":861383,"access_level":"closed","file_name":"EM - From Private Platforms o Pubic Data Spaces.pdf","file_id":"53572","date_updated":"2024-04-18T12:35:42Z","creator":"dabe","date_created":"2024-04-18T12:35:42Z"}],"abstract":[{"lang":"eng","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."}],"publication":"Electronic Markets","language":[{"iso":"eng"}],"ddc":["380"],"keyword":["Digital transformation","Public data spaces","Digital platforms","GAIA-X"]},{"year":"2022","quality_controlled":"1","title":"Systematizing the lexicon of platforms in information systems: a data-driven study","publisher":"Springer Science and Business Media LLC","date_created":"2023-01-10T10:00:55Z","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."}],"file":[{"content_type":"application/pdf","success":1,"relation":"main_file","date_updated":"2024-04-18T12:39:00Z","date_created":"2024-04-18T12:39:00Z","creator":"dabe","file_size":1262427,"access_level":"closed","file_name":"EM - Lexicon of Platform Terms.pdf","file_id":"53573"}],"publication":"Electronic Markets","keyword":["Platform","Text mining","Machine learning","Data communications","Interpretive research","Systems design and implementation"],"ddc":["380"],"language":[{"iso":"eng"}],"page":"375-396","intvolume":"        32","jel":["L86"],"citation":{"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>.","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>.","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>","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} }","short":"C. Bartelheimer, P. zur Heiden, H. Lüttenberg, D. Beverungen, Electronic Markets 32 (2022) 375–396.","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>.","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>"},"has_accepted_license":"1","publication_identifier":{"issn":["1019-6781","1422-8890"]},"publication_status":"published","doi":"10.1007/s12525-022-00530-6","date_updated":"2024-04-18T12:40:34Z","volume":32,"author":[{"id":"49160","full_name":"Bartelheimer, Christian","last_name":"Bartelheimer","first_name":"Christian"},{"first_name":"Philipp","id":"64394","full_name":"zur Heiden, Philipp","last_name":"zur Heiden"},{"first_name":"Hedda","last_name":"Lüttenberg","full_name":"Lüttenberg, Hedda"},{"id":"59677","full_name":"Beverungen, Daniel","last_name":"Beverungen","first_name":"Daniel"}],"status":"public","type":"journal_article","article_type":"original","file_date_updated":"2024-04-18T12:39:00Z","_id":"35732","department":[{"_id":"526"}],"user_id":"59677"},{"date_updated":"2024-11-13T08:43:28Z","oa":"1","author":[{"first_name":"Ricarda-Samantha","full_name":"Götte, Ricarda-Samantha","id":"43992","last_name":"Götte"},{"last_name":"Timmermann","id":"15402","full_name":"Timmermann, Julia","first_name":"Julia"}],"date_created":"2021-10-19T14:47:17Z","title":"Composed Physics- and Data-driven System Identification for Non-autonomous Systems in Control Engineering","main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/2112.08148"}],"conference":{"start_date":"2021-12-08","name":"3rd International Conference on Artificial Intelligence, Robotics and Control","location":"Cairo, Egypt","end_date":"2021-12-10"},"doi":"10.1109/AIRC56195.2022.9836982","quality_controlled":"1","year":"2022","citation":{"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>.","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} }","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>","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>.","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>.","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>"},"page":"67-76","_id":"26539","user_id":"43992","department":[{"_id":"153"},{"_id":"880"}],"keyword":["data-driven","physics-based","physics-informed","neural networks","system identification","hybrid modelling"],"language":[{"iso":"eng"}],"type":"conference","publication":"2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC)","abstract":[{"lang":"eng","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."}],"status":"public"},{"publication":"14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022)","abstract":[{"lang":"eng","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. "}],"keyword":["neural networks","physics-guided","data-driven","multi-objective optimization","system identification","machine learning","dynamical systems"],"language":[{"iso":"eng"}],"quality_controlled":"1","issue":"12","year":"2022","date_created":"2022-05-05T06:22:55Z","title":"Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems","type":"conference","status":"public","_id":"31066","user_id":"43992","department":[{"_id":"153"},{"_id":"880"}],"citation":{"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>","short":"O. Schön, R.-S. Götte, J. Timmermann, in: 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), 2022, pp. 19–24.","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>.","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} }","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>.","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>.","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>"},"intvolume":"        55","page":"19-24","date_updated":"2024-11-13T08:43:16Z","author":[{"full_name":"Schön, Oliver","last_name":"Schön","first_name":"Oliver"},{"first_name":"Ricarda-Samantha","id":"43992","full_name":"Götte, Ricarda-Samantha","last_name":"Götte"},{"first_name":"Julia","last_name":"Timmermann","id":"15402","full_name":"Timmermann, Julia"}],"volume":55,"conference":{"start_date":"2022-06-29","name":"14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022)","location":"Casablanca, Morocco","end_date":"2022-07-01"},"doi":"https://doi.org/10.1016/j.ifacol.2022.07.282"},{"publication_identifier":{"isbn":["9781728157306"]},"publication_status":"published","citation":{"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>","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.","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>.","short":"S. Lange, D. Schröder, C. Hedayat, H. Kuhn, U. Hilleringmann, in: 22nd IEEE International Conference on Industrial Technology (ICIT), IEEE,  Valencia, Spain , 2021.","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} }","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>.","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>"},"year":"2021","place":" Valencia, Spain ","author":[{"full_name":"Lange, Sven","id":"38240","last_name":"Lange","first_name":"Sven"},{"last_name":"Schröder","full_name":"Schröder, Dominik","first_name":"Dominik"},{"full_name":"Hedayat, Christian","last_name":"Hedayat","first_name":"Christian"},{"first_name":"Harald","full_name":"Kuhn, Harald","last_name":"Kuhn"},{"full_name":"Hilleringmann, Ulrich","last_name":"Hilleringmann","first_name":"Ulrich"}],"date_created":"2021-06-20T23:25:54Z","publisher":"IEEE","date_updated":"2022-01-06T06:55:33Z","doi":"10.1109/icit46573.2021.9453609","conference":{"name":"22nd IEEE International Conference on Industrial Technology (ICIT)","start_date":"2021-03-10","end_date":"2021-03-12","location":"Valencia, Spain "},"main_file_link":[{"url":"https://ieeexplore.ieee.org/document/9453609"}],"title":"Development of Methods for Coil-Based Localization by Magnetic Fields of Miniaturized Sensor Platforms in Bioprocesses","publication":"22nd IEEE International Conference on Industrial Technology (ICIT)","type":"conference","status":"public","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."}],"department":[{"_id":"59"},{"_id":"485"}],"user_id":"38240","_id":"22480","project":[{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"language":[{"iso":"eng"}],"keyword":["Location awareness","Coils","Couplings","Nonuniform electric fields","Magnetic separation","Neural networks","Training data"]},{"abstract":[{"lang":"eng","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."}],"publication":"Proceedings of The 24th International Conference on Discovery Science (DS 2021)","language":[{"iso":"eng"}],"keyword":["Graph-structured data","Graph neural networks","Preference learning","Learning to rank"],"external_id":{"arxiv":["2104.08869"]},"year":"2021","quality_controlled":"1","title":"Ranking Structured Objects with Graph Neural Networks","date_created":"2021-11-11T14:15:18Z","publisher":"Springer","status":"public","editor":[{"full_name":"Soares, Carlos","last_name":"Soares","first_name":"Carlos"},{"full_name":"Torgo, Luis","last_name":"Torgo","first_name":"Luis"}],"type":"conference","series_title":"Lecture Notes in Computer Science","user_id":"48192","department":[{"_id":"355"}],"_id":"27381","citation":{"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>","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>.","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>.","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>.","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} }","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>"},"page":"166-180","intvolume":"     12986","publication_status":"published","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783030889418","9783030889425"]},"doi":"10.1007/978-3-030-88942-5","conference":{"location":"Halifax, Canada","end_date":"2021-10-13","start_date":"2021-10-11","name":"24th International Conference on Discovery Science"},"author":[{"last_name":"Damke","orcid":"0000-0002-0455-0048","full_name":"Damke, Clemens","id":"48192","first_name":"Clemens"},{"first_name":"Eyke","id":"48129","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier"}],"volume":12986,"date_updated":"2022-04-11T22:08:12Z"},{"language":[{"iso":"eng"}],"ddc":["550"],"keyword":["Energy potential estimation","Photovoltaic","Solar radiation","Temperature measurement","Satellite data","Meteonorm","MERRA-2","DWD"],"file":[{"content_type":"application/pdf","success":1,"relation":"main_file","date_updated":"2022-01-06T13:26:47Z","creator":"krauter","date_created":"2022-01-06T13:26:47Z","file_size":2475972,"file_id":"29176","access_level":"closed","file_name":"Khatibi Krauter - MERRA 2 vs Meteonorm - EUPVSEC 2021.pdf"}],"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)","title":"Comparison and Validation of Irradiance Data: Satellite Meteorological Dataset MERRA-2 vs. Meteonorm and German Weather Service (DWD)","date_created":"2021-09-16T10:20:41Z","year":"2021","quality_controlled":"1","file_date_updated":"2022-01-06T13:26:47Z","user_id":"28836","department":[{"_id":"53"}],"_id":"24551","status":"public","type":"conference","doi":"10.4229/EUPVSEC20212021-5BV.4.11","conference":{"end_date":"2021-09-10","start_date":"2021-09-06","name":"38th European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC 2021)"},"author":[{"last_name":"Khatibi","full_name":"Khatibi, Arash","id":"43538","first_name":"Arash"},{"full_name":"Krauter, Stefan","id":"28836","orcid":"0000-0002-3594-260X","last_name":"Krauter","first_name":"Stefan"}],"date_updated":"2022-01-06T13:29:51Z","citation":{"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>.","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>.","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>","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>","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>.","short":"A. Khatibi, S. Krauter, in: Proceedings of the 38th European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC 2021), 2021, pp. 1141–1147."},"page":"1141 - 1147","publication_status":"published","has_accepted_license":"1","publication_identifier":{"isbn":["3-936338-78-7"]}},{"language":[{"iso":"eng"}],"keyword":["expected possession value","handball","tracking data","time series classification","deep learning"],"user_id":"60721","department":[{"_id":"196"},{"_id":"172"}],"_id":"24547","status":"public","abstract":[{"lang":"eng","text":"Over the last years, several approaches for the data-driven estimation of expected possession value (EPV) in basketball and association football (soccer) have been proposed. In this paper, we develop and evaluate PIVOT: the first such framework for team handball. Accounting for the fast-paced, dynamic nature and relative data scarcity of hand- ball, we propose a parsimonious end-to-end deep learning architecture that relies solely on tracking data. This efficient approach is capable of predicting the probability that a team will score within the near future given the fine-grained spatio-temporal distribution of all players and the ball over the last seconds of the game. Our experiments indicate that PIVOT is able to produce accurate and calibrated probability estimates, even when trained on a relatively small dataset. We also showcase two interactive applications of PIVOT for valuing actual and counterfactual player decisions and actions in real-time."}],"type":"conference","publication":"8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021)","main_file_link":[{"url":"https://dtai.cs.kuleuven.be/events/MLSA21/papers/MLSA21_paper_muller.pdf"}],"conference":{"end_date":"2021-09-17","location":"Online","name":"European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD 2021)","start_date":"2021-09-13"},"title":"PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data","date_created":"2021-09-16T08:33:04Z","author":[{"id":"72849","full_name":"Müller, Oliver","last_name":"Müller","first_name":"Oliver"},{"full_name":"Caron, Matthew","id":"60721","last_name":"Caron","first_name":"Matthew"},{"full_name":"Döring, Michael","last_name":"Döring","first_name":"Michael"},{"first_name":"Tim","last_name":"Heuwinkel","full_name":"Heuwinkel, Tim"},{"first_name":"Jochen","full_name":"Baumeister, Jochen","id":"46","orcid":"0000-0003-2683-5826","last_name":"Baumeister"}],"date_updated":"2023-02-28T08:58:24Z","citation":{"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.","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>.","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} }","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.","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.","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>."},"year":"2021","publication_status":"inpress"},{"language":[{"iso":"eng"}],"keyword":["data awareness","machine learning","data science education","data-driven digital artifacts","artificial intelligence"],"user_id":"58041","series_title":"Koli Calling '21","department":[{"_id":"67"}],"_id":"27491","status":"public","abstract":[{"lang":"eng","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."}],"type":"conference","publication":"21st Koli Calling International Conference on Computing Education Research","doi":"10.1145/3488042.3490509","title":"Developing and Evaluating the Concept Data Awareness for K12 Computing Education","author":[{"full_name":"Höper, Lukas","id":"58041","last_name":"Höper","first_name":"Lukas"}],"date_created":"2021-11-16T07:59:49Z","date_updated":"2024-09-16T08:32:39Z","publisher":"Association for Computing Machinery","citation":{"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>","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.","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} }","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>","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>.","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>."},"year":"2021","place":"New York, NY, USA","publication_identifier":{"isbn":["9781450384889"]},"quality_controlled":"1"},{"ddc":["620"],"keyword":["Art-D","Afrika","Demand side management","MySQL","Raspberry pi","Data acquisition"],"file_date_updated":"2022-01-06T13:11:59Z","language":[{"iso":"eng"}],"_id":"24540","user_id":"16148","department":[{"_id":"53"}],"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."}],"file":[{"file_size":1343406,"access_level":"closed","file_id":"29174","file_name":"Kakande Philipo Krauter - Load Data Aquisition ART-D - EUPVSEC 2021.pdf","date_updated":"2022-01-06T13:11:59Z","date_created":"2022-01-06T13:11:59Z","creator":"krauter","success":1,"relation":"main_file","content_type":"application/pdf"}],"status":"public","type":"conference","publication":"Proceedings of the 38th European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC 2021)","title":"Load Data Acquisition in Rural East Africa for the Layout of Microgrids and Demand–Side–Management Measures","doi":"10.4229/EUPVSEC20212021-6BV.5.38","conference":{"end_date":"2021-09-10","name":"38th European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC 2021)","start_date":"2021-09-06"},"date_updated":"2024-10-17T08:45:50Z","author":[{"first_name":"Josephine Nakato","full_name":"Kakande, Josephine Nakato","id":"88649","last_name":"Kakande"},{"last_name":"Philipo","full_name":"Philipo, Godiana Hagile","id":"88505","first_name":"Godiana Hagile"},{"first_name":"Stefan","id":"28836","full_name":"Krauter, Stefan","orcid":"0000-0002-3594-260X","last_name":"Krauter"}],"date_created":"2021-09-16T05:52:50Z","year":"2021","citation":{"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} }","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.","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>.","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>","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>.","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>."},"page":"1505-1510","publication_status":"published","has_accepted_license":"1","quality_controlled":"1","publication_identifier":{"isbn":["3-936338-78-7"]}}]