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6404 Publikationen
2019 | Zeitschriftenaufsatz | ELSA-ID: 5104
Alston, Mark E., Uta Pottgiesser, and Ulrich Knaack. “Bio-Inspired Transparent Microfluidic Platform as Transformable Networks for Solar Modulation.” Journal of Facade Design and Engineering 7, no. 1 (2019): 89–100.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 5105
E., Alston, Mark, Uta Pottgiesser, and Ulrich Knaack. “Bio-Inspired Transparent Microfluidic Platform as Transformable Networks for Solar Modulation,” 209–209, 2019.
ELSA
2019 | Monographie | ELSA-ID: 5106
Ayón, Angel, Uta Pottgiesser, and Nathaniel Richards. Neue Fassaden im Bestand. Sanierungsstrategien für Klassiker der Moderne . Basel, Berlin, Boston : Birkhäuser , 2019.
ELSA
2019 | Zeitschriftenaufsatz | ELSA-ID: 5108
Kousa, Christine, and Uta Pottgiesser. “Post Syrian-War Material Recovery, Reuse and Transformation in the Old City of Aleppo.” Journal of Cultural Heritage Management and Sustainable Development 10, no. 1 (2019): 90–103.
ELSA
2019 | Monographie | ELSA-ID: 5110
Ayón, Angel , Uta Pottgiesser, and Nathaniel Richards. Reglazing Modernism. Intervention Strategies for 20th-Century Icons . Basel, Berlin, Boston : Birkhäuser , 2019.
ELSA
2019 | Zeitschriftenaufsatz | ELSA-ID: 4502
Jasperneite, Jürgen, and Sebastian Schriegel. “TSN: Der Digitale Zwilling.” Sonderheft ComputerAutomation, WEKA FACHMEDIEN, Haar, 2019.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 4503
Jasperneite, Jürgen. “Digitale Transformation in Klein- Und Mittelstädten Am Beispiel Des IoT-Reallabors Lemgo Digital.” In 24. Industrial Communication Congress. Bad Pyrmont, 2019.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 4756
Ehrlich, Marco, Henning Trsek, Lukasz Wisniewski, and Jürgen Jasperneite. “Survey of Security Standards for an Automated Industrie 4.0 Compatible Manufacturing.” In IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society (IES), edited by IEEE Industrial Electronics Society. Annual Conference , IEEE Industrial Electronics Society , Universidade Nova de Lisboa , and Institute of Electrical and Electronics Engineers, 2849–54. IEEE Industrial Electronics Society. [Piscataway, NJ]: IEEE, 2019.
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| WoS
2019 | Konferenz - Beitrag | ELSA-ID: 4757
Frimpong, Ansah, Mainak Majumder, Hermann de Meer, and Jürgen Jasperneite. “Network Slicing : An Industry Perspective.” In 24th International Conference on Emerging Technologies and Factory Automation (ETFA). Saragossa (Spanien), 2019.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 4758
Qu, Shuhui, Jie Wang, and Jürgen Jasperneite. “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, 2019.
ELSA
2019 | Sammelwerk - Beitrag | ELSA-ID: 4759
Neumann, Arne, Lukasz Wisniewski, and Jürgen Jasperneite. “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, 2019.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 4760
Ehrlich, Marco, Henning Trsek, Julius Paffrath, Martin Gergeleit, Kostyantyn Simkin, and Jürgen Jasperneite. “Secure and Flexible Deployment of Industrial Applications inside Cloud-Based Environments.” In 24th International Conference on Emerging Technologies and Factory Automation (ETFA). Saragossa (Spanien), 2019.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 4761
Lang, Dorota, Sergej Grunau, Lukasz Wisniewski, and Jürgen Jasperneite. “Utilization of the Asset Administration Shell to Support Humans During the Maintenance Process.” In 17th International Conference on Industrial Informatics (IEEE-INDIN 2019), edited by Aalto-Yliopisto, Tampereen yliopisto , Suomen Automaatioseura , and Institute of Electrical and Electronics Engineers , 768–73. IEEE International Conference on Industrial Informatics INDIN. [Piscataway, NJ]: IEEE, 2019. https://doi.org/10.1109/indin41052.2019.8972236.
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2019 | Konferenz - Beitrag | ELSA-ID: 4762
Panda, Santosh Kumar, Mainak Majumder, Marco Ehrlich, Arne Neumann, Lukasz Wisniewski, and Jürgen Jasperneite. “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, 8. Sundsvall, Sweden: IEEE, 2019.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 4763
Jasperneite, Jürgen. “Auf Ewig Verbunden – Was Ist Der Digitale Zwilling? .” In Vortrag. Museumsrunde IHK Lippe und TH OWL, 2019.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 4764
Ehrlich, Marco, Arne Neumann, Alexander Biendarra, and Jürgen Jasperneite. “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, 69–78. De Gruyter, 2019.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 4780
Bunte, Andreas, Paul Wunderlich, Natalia Moriz, Peng Li, Andre Mankowski, Antje Rogalla, and Oliver Niggemann. “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, 2019.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 4781
Bunte, Andreas, Andreas Fischbach, Jan Strohschein, Thomas Bartz-Beielstein, Heide Faeskorn-Woyke, and Oliver Niggemann. “Evaluation of Cognitive Architectures for Cyber-Physical Production Systems.” In 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), edited by Institute of Electrical and Electronics Engineers and Universidad de Zaragoza , 729–36. IEEE International Conference on Emerging Technologies and Factory Automation-ETFA. [Piscataway, NJ]: IEEE, 2019. https://doi.org/10.1109/etfa.2019.8869038.
ELSA
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2019 | Zeitschriftenaufsatz | ELSA-ID: 4784
Bunte, Andreas, Andreas Fischbach, Jan Strohschein, Thomas Bartz-Beielstein, Heide Faeskorn-Woyke, and Oliver Niggemann. “Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems.” ArXiv E-Prints, 2019.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 4785
Bunte, Andreas, Benno Stein, and Oliver Niggemann. “Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models.” Hawaii, USA: Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019.
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