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795 Publikationen
2019 | Konferenz - Beitrag | ELSA-ID: 4110 | 
Bröring, A., Fast, A., Büttner, S., Heinz, M., & Röcker, C. (2019). Smartwatches zur Unterstüzung von Produktionsmitarbeitern . In Mensch und Computer 2019 - Usability Professionals. Bonn: Gesellschaft für Informatik e.V. Und German UPA e.V. https://doi.org/10.18420/muc2019-up-0324
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2019 | Konferenz - Beitrag | ELSA-ID: 4111
Heinz, M., Büttner, S., & Röcker, C. (2019). Exploring Augmented Reality Training for Automated Systems. In Workshop “Everyday Automation Experience” at ACM CHI Conference on Human Factors in Computing Systems (CHI 2019). Glasgow, UK: ACM.
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2019 | Konferenz - Beitrag | ELSA-ID: 4310 |
Dhiman, H., & Röcker, C. (2019). Middleware for Work Support in Industrial Contexts (MiWSICx). In Proceedings of the International Congress and Conferences on Computational Design and Engineering (i3CDE’19), Penang, Malaysia, pp. 407 - 416. Penang, Malaysia.
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2019 | Sammelwerk - Beitrag | ELSA-ID: 4311
Dhiman, H., & Röcker, C. (2019). Worker Assistance in Smart Production Environments using Pervasive Technologies. In 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) (pp. 95–100). Piscataway, NJ: IEEE. https://doi.org/10.1109/PERCOMW.2019.8730771
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2019 | Sammelwerk - Beitrag | ELSA-ID: 4312
Fullen, M., Maier, A., Nazarenko, A., Jenderny, S., & Röcker, C. (2019). Machine Learning for Assistance Systems: Pattern-Based Approach to Online Step Recognition. In IEEE (Ed.), 2019 IEEE 17th International Conference on Industrial Informatics (INDIN) (pp. 296–302). Piscataway, NJ : IEEE. https://doi.org/10.1109/INDIN41052.2019.8972122
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2019 | Sammelwerk - Beitrag | ELSA-ID: 4313
Röcker, C. (2019). Exploring the Acceptance of Video-Based Medical Support. In W. Karwowski & T. Ahram (Eds.), Intelligent Human Systems Integration 2019 (Vol. 903, pp. 551–556). Cham: Springer. https://doi.org/10.1007/978-3-030-11051-2_83
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2019 | Konferenz - Beitrag | ELSA-ID: 4315
Heinz, M., Dhiman, H., & Röcker, C. (2019). A Multi-Device Assistive System for Industrial Maintenance Operations. In International Cross-Domain Conference for Machine Learning and Knowledge Extraction. Cham: Springer.
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2019 | Konferenz - Beitrag | ELSA-ID: 6003
Fliedner, N. H., Heß, R., & Witte, S. (2019). Multi-Connectivity in 5G Industrial Environments. In U. Jumar, J. Jasperneite, & Institut für Automation und Kommunikation e.V. (Eds.), KommA 2019 : Kommunikation in der Automation : 20.-21.11.2019 : 10. Jahreskolloquium “Kommunikation in der Automation.” Otto-von-Guericke-Universität Magdeburg. R-PÖ.
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2019 | Zeitschriftenaufsatz | ELSA-ID: 4502
Jasperneite, J., & Schriegel, S. (2019). TSN: Der Digitale Zwilling. Sonderheft ComputerAutomation, WEKA FACHMEDIEN, Haar.
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2019 | Konferenz - Beitrag | ELSA-ID: 4503
Jasperneite, J. (2019). Digitale Transformation in Klein- und Mittelstädten am Beispiel des IoT-Reallabors Lemgo Digital. In 24. Industrial Communication Congress. Bad Pyrmont.
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2019 | Konferenz - Beitrag | ELSA-ID: 4756
Ehrlich, M., Trsek, H., Wisniewski, L., & Jasperneite, J. (2019). Survey of Security Standards for an automated Industrie 4.0 compatible Manufacturing. In IEEE Industrial Electronics Society. Annual Conference , IEEE Industrial Electronics Society , Universidade Nova de Lisboa , & Institute of Electrical and Electronics Engineers (Eds.), IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society (IES) (pp. 2849–2854). IEEE.
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2019 | Konferenz - Beitrag | ELSA-ID: 4757
Frimpong, A., Majumder, M., de Meer, H., & Jasperneite, J. (2019). Network Slicing : An Industry Perspective. In 24th International Conference on Emerging Technologies and Factory Automation (ETFA). Saragossa (Spanien).
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2019 | Konferenz - Beitrag | ELSA-ID: 4758
Qu, S., Wang, J., & Jasperneite, J. (2019). Dynamic scheduling in modern processing networks using expert-guided distributed reinforcement learning. In 24rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2019). Zaragoza, Spain.
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2019 | Sammelwerk - Beitrag | ELSA-ID: 4759
Neumann, A., Wisniewski, L., & Jasperneite, J. (2019). 5G into Profinet integration as a use case for network slicing. In 24th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2019. Zaragoza, Spain.
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2019 | Konferenz - Beitrag | ELSA-ID: 4760
Ehrlich, M., Trsek, H., Paffrath, J., Gergeleit, M., Simkin, K., & Jasperneite, J. (2019). Secure and Flexible Deployment of Industrial Applications inside Cloud-Based Environments. In 24th International Conference on Emerging Technologies and Factory Automation (ETFA). Saragossa (Spanien).
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2019 | Konferenz - Beitrag | ELSA-ID: 4761
Lang, D., Grunau, S., Wisniewski, L., & Jasperneite, J. (2019). Utilization of the Asset Administration Shell to Support Humans During the Maintenance Process. In Aalto-Yliopisto, Tampereen yliopisto , Suomen Automaatioseura , & Institute of Electrical and Electronics Engineers (Eds.), 17th International Conference on Industrial Informatics (IEEE-INDIN 2019) (pp. 768–773). IEEE. https://doi.org/10.1109/indin41052.2019.8972236
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2019 | Konferenz - Beitrag | ELSA-ID: 4762
Panda, S. K., Majumder, M., Ehrlich, M., Neumann, A., Wisniewski, L., & Jasperneite, J. (2019). Topology Detection as a Base for Efficient Management of Heterogeneous Industrial Network Systems Using Software-Defined Networking. In IEEE Workshop on Factory Communication Systems 2019 (p. 8). Sundsvall, Sweden: IEEE.
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2019 | Konferenz - Beitrag | ELSA-ID: 4763
Jasperneite, J. (2019). Auf ewig verbunden – Was ist der digitale Zwilling? . In Vortrag. Museumsrunde IHK Lippe und TH OWL.
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2019 | Konferenz - Beitrag | ELSA-ID: 4764
Ehrlich, M., Neumann, A., Biendarra, A., & Jasperneite, J. (2019). Quality-of-Service Monitoring of Hybrid Industrial Communication Networks. In at - Automatisierungstechnik 67 (1), Special Issue: Methods for a reliable wireless communication in the industry (pp. 69–78). De Gruyter.
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2019 | Konferenz - Beitrag | ELSA-ID: 4780
Bunte, A., Wunderlich, P., Moriz, N., Li, P., Mankowski, A., Rogalla, A., & Niggemann, O. (2019). Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS. In 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Zaragoza, Spain.
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