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\n\n \n \n \n \n \n A Method and Module for Linking Data of a Data Source to a Target Database.\n \n \n \n\n\n \n Schmeink, A., Geisler, S., Brauers, A., & Quix, C.\n\n\n \n\n\n\n PCT/IB2009/055537, US 20120130966 A1, June 2023.\n
Filed: June 2023\n\n
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@Misc{Schmeink2023,\r\n author = {Anke Schmeink and Sandra Geisler and Andreas Brauers and Christoph Quix},\r\n howpublished = {PCT/IB2009/055537, US 20120130966 A1},\r\n month = {June},\r\n note = {Filed: June 2023},\r\n title = {{A Method and Module for Linking Data of a Data Source to a Target Database}},\r\n year = {2023},\r\n groups = {own},\r\n keywords = {patent},\r\n nationality = {US},\r\n number = {US11688490B2},\r\n timestamp = {2016.10.20},\r\n yearfiled = {2009},\r\n}\r\n\r\n
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\n\n \n \n \n \n \n \n Managing Growing Uncertainties in Long-Term Production Management.\n \n \n \n \n\n\n \n Schuh, G., Gützlaff, A., Rodemann, N., Pütz, S., Linnartz, M., Kim, S., Schlosser, T. X., Schupp, S., Endrikat, M., Welsing, M., Millan, M., Nitsch, V., Decker, S. J., Geisler, S., & Stich, V.\n\n\n \n\n\n\n of Interdisciplinary Excellence Accelerator Series : IDEAS. Internet of production : fundamentals, applications and proceedings / editors: Christian Brecher, Günther Schuh, Wil van der Aalst, Matthias Jarke, Frank T. Piller, Melanie Padberg, pages 1-21. Springer International Publishing, Cham, 2023.\n
First Online: 30 April 2023. - Living reference work entry\n\n
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@InBook{schuh2023managing,\r\n author = {Schuh, Günther and Gützlaff, Andreas and Rodemann, Niklas and Pütz, Sebastian and Linnartz, Maria and Kim, Soo-Yon and Schlosser, Tino Xaver and Schupp, Steffen and Endrikat, Morten and Welsing, Martin and Millan, Michael and Nitsch, Verena and Decker, Stefan Josef and Geisler, Sandra and Stich, Volker},\r\n chapter = {{M}anaging {G}rowing {U}ncertainties in {L}ong-{T}erm {P}roduction {M}anagement},\r\n pages = {1-21},\r\n publisher = {Springer International Publishing},\r\n title = {Internet of production : fundamentals, applications and proceedings / editors: Christian Brecher, Günther Schuh, Wil van der Aalst, Matthias Jarke, Frank T. Piller, Melanie Padberg},\r\n year = {2023},\r\n address = {Cham},\r\n note = {First Online: 30 April 2023. - Living reference work entry},\r\n series = {Interdisciplinary Excellence Accelerator Series : IDEAS},\r\n booktitle = {Internet of production : fundamentals, applications and proceedings / editors: Christian Brecher, Günther Schuh, Wil van der Aalst, Matthias Jarke, Frank T. Piller, Melanie Padberg},\r\n cid = {$I:(DE-82)125330_20210903$ / $I:(DE-82)120000_20140620$ / $I:(DE-82)417200_20140620$ / $I:(DE-82)417210_20140620$ / $I:(DE-82)812710_20140620$ / $I:(DE-82)052300_20140620$ / $I:(DE-82)417110_20140620$ / $I:(DE-82)124510_20160614$ / $I:(DE-82)814320_20140620$ / $I:(DE-82)080067_20181221$},\r\n cin = {125330 / 120000 / 417200 / 417210 / 812710 / 052300 / 417110 / 124510 / 814320 / 080067},\r\n comment = {Internet of production : fundamentals, applications and\r\n proceedings / editors: Christian Brecher, Günther Schuh,\r\n Wil van der Aalst, Matthias Jarke, Frank T. Piller, Melanie\r\n Padberg},\r\n doi = {10.1007/978-3-030-98062-7_15-1},\r\n pid = {G:(DE-82)X080067-WS-B3.I / G:(GEPRIS)390621612},\r\n pnm = {WS-B3.I - Long-term Production Management (X080067-WS-B3.I) / DFG project 390621612 - EXC 2023: Internet of Production (IoP) (390621612)},\r\n reportid = {RWTH-2023-05030},\r\n subtyp = {Reference book entry},\r\n typ = {PUB:(DE-HGF)7},\r\n url = {https://publications.rwth-aachen.de/record/957951},\r\n}\r\n\r\n
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\n\n \n \n \n \n \n \n Evolving the Digital Industrial Infrastructure for Production: Steps Taken and the Road Ahead.\n \n \n \n \n\n\n \n Pennekamp, J., Belova, A., Bergs, T., Bodenbenner, M., Bührig-Polaczek, A., Dahlmanns, M., Kunze, I., Kröger, M., Geisler, S., Henze, M., & others\n\n\n \n\n\n\n In Brecher, C., Schuh, G., van der Aalst, W., Jarke, M., Piller, F. T., & Padberg, M., editor(s),
Internet of Production: Fundamentals, Applications and Proceedings, pages 1–25. Springer International Publishing, 2023.\n
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\n\n \n \n Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@InCollection{Pennekamp2023,\r\n author = {Pennekamp, Jan and Belova, Anastasiia and Bergs, Thomas and Bodenbenner, Matthias and B{\\"u}hrig-Polaczek, Andreas and Dahlmanns, Markus and Kunze, Ike and Kr{\\"o}ger, Moritz and Geisler, Sandra and Henze, Martin and others},\r\n booktitle = {Internet of Production: Fundamentals, Applications and Proceedings},\r\n publisher = {Springer International Publishing},\r\n title = {{Evolving the Digital Industrial Infrastructure for Production: Steps Taken and the Road Ahead}},\r\n year = {2023},\r\n editor = {Christian Brecher and G\\"unther Schuh and Wil van der Aalst and Matthias Jarke and Frank T. Piller and Melanie Padberg},\r\n isbn = {978-3-030-98062-7},\r\n pages = {1--25},\r\n abstract = {The Internet of Production (IoP) leverages concepts such as digital shadows, data lakes, and a World Wide Lab (WWL) to advance today's production. Consequently, it requires a technical infrastructure that can support the agile deployment of these concepts and corresponding high-level applications, which, e.g., demand the processing of massive data in motion and at rest. As such, key research aspects are the support for low-latency control loops, concepts on scalable data stream processing, deployable information security, and semantically rich and efficient long-term storage. In particular, such an infrastructure cannot continue to be limited to machines and sensors, but additionally needs to encompass networked environments: production cells, edge computing, and location-independent cloud infrastructures. Finally, in light of the envisioned WWL, i.e., the interconnection of production sites, the technical infrastructure must be advanced to support secure and privacy-preserving industrial collaboration. To evolve today's production sites and lay the infrastructural foundation for the IoP, we identify five broad streams of research: (1) adapting data and stream processing to heterogeneous data from distributed sources, (2) ensuring data interoperability between systems and production sites, (3) exchanging and sharing data with different stakeholders, (4) network security approaches addressing the risks of increasing interconnectivity, and (5) security architectures to enable secure and privacy-preserving industrial collaboration. With our research, we evolve the underlying infrastructure from isolated, sparsely networked production sites toward an architecture that supports high-level applications and sophisticated digital shadows while facilitating the transition toward a WWL.},\r\n doi = {10.1007/978-3-030-98062-7_2-1},\r\n url = {https://doi.org/10.1007/978-3-030-98062-7_2-1},\r\n}\r\n\r\n
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\n The Internet of Production (IoP) leverages concepts such as digital shadows, data lakes, and a World Wide Lab (WWL) to advance today's production. Consequently, it requires a technical infrastructure that can support the agile deployment of these concepts and corresponding high-level applications, which, e.g., demand the processing of massive data in motion and at rest. As such, key research aspects are the support for low-latency control loops, concepts on scalable data stream processing, deployable information security, and semantically rich and efficient long-term storage. In particular, such an infrastructure cannot continue to be limited to machines and sensors, but additionally needs to encompass networked environments: production cells, edge computing, and location-independent cloud infrastructures. Finally, in light of the envisioned WWL, i.e., the interconnection of production sites, the technical infrastructure must be advanced to support secure and privacy-preserving industrial collaboration. To evolve today's production sites and lay the infrastructural foundation for the IoP, we identify five broad streams of research: (1) adapting data and stream processing to heterogeneous data from distributed sources, (2) ensuring data interoperability between systems and production sites, (3) exchanging and sharing data with different stakeholders, (4) network security approaches addressing the risks of increasing interconnectivity, and (5) security architectures to enable secure and privacy-preserving industrial collaboration. With our research, we evolve the underlying infrastructure from isolated, sparsely networked production sites toward an architecture that supports high-level applications and sophisticated digital shadows while facilitating the transition toward a WWL.\n
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\n\n \n \n \n \n \n Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28-September 1, 2023.\n \n \n \n\n\n \n Bordawekar, R., Cappiello, C., Efthymiou, V., Ehrlinger, L., Gadepally, V., Galhotra, S., Geisler, S., Groppe, S., Gruenwald, L., Halevy, A. Y, & others\n\n\n \n\n\n\n CEUR-WS. org. 2023.\n
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@Proceedings{bordawekar2023joint,\r\n title = {Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28-September 1, 2023.},\r\n year = {2023},\r\n editor = {Bordawekar, Rajesh and Cappiello, Cinziand Efthymiou, Vasilis and Ehrlinger, Lisa and Gadepally, Vijay and Galhotra, Sainyam and Geisler, Sandra and Groppe, Sven and Gruenwald, Le and Halevy, Alon Y and others},\r\n publisher = {CEUR-WS. org},\r\n author = {Bordawekar, Rajesh and Cappiello, Cinzia and Efthymiou, Vasilis and Ehrlinger, Lisa and Gadepally, Vijay and Galhotra, Sainyam and Geisler, Sandra and Groppe, Sven and Gruenwald, Le and Halevy, Alon Y and others},\r\n}\r\n\r\n
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\n\n \n \n \n \n \n Predicting and Understanding Care Levels of Elderly People with Machine Learning: A Random Forest Classifier Integrated with E-Health App and FHIR-Based Data Modeling.\n \n \n \n\n\n \n Heiba, N., Mohamad, Y., Velasco, C. A, Gappa, H., Berlage, T., & Geisler, S.\n\n\n \n\n\n\n In
International Conference on Human-Computer Interaction, pages 39–54, 2023. Springer\n
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@InProceedings{heiba2023predicting,\r\n author = {Heiba, Naguib and Mohamad, Yehya and Velasco, Carlos A and Gappa, Henrike and Berlage, Thomas and Geisler, Sandra},\r\n booktitle = {International Conference on Human-Computer Interaction},\r\n title = {Predicting and Understanding Care Levels of Elderly People with Machine Learning: A Random Forest Classifier Integrated with E-Health App and FHIR-Based Data Modeling},\r\n year = {2023},\r\n organization = {Springer},\r\n pages = {39--54},\r\n}\r\n\r\n
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