| Automatic parameter estimation for reusable software components of modular and reconfigurable cyber-physical production systems in the domain of discrete manufacturing J Otto, B Vogel-Heuser, O Niggemann IEEE Transactions on Industrial Informatics 14 (1), 275-282, 2017 | 57 | 2017 |
| Why cyber-physical production systems need a descriptive engineering approach–a case study in plug & produce J Otto, S Henning, O Niggemann Procedia Technology 15, 295-302, 2014 | 49 | 2014 |
| A field level architecture for reconfigurable real-time automation systems L Dürkop, H Trsek, J Otto, J Jasperneite 2014 10th IEEE Workshop on Factory Communication Systems (WFCS 2014), 1-10, 2014 | 44 | 2014 |
| Secure and time-sensitive communication for remote process control and monitoring T Kobzan, S Schriegel, S Althoff, A Boschmann, J Otto, J Jasperneite 2018 IEEE 23rd International Conference on Emerging Technologies and Factory …, 2018 | 20 | 2018 |
| A descriptive engineering approach for cyber-physical systems S Henning, O Niggemann, J Otto, S Schriegel Proceedings of the 2014 IEEE Emerging Technology and Factory Automation …, 2014 | 18 | 2014 |
| Automatic parameterization of automation software for plug-and-produce J Otto, O Niggemann Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015 | 16 | 2015 |
| Industrie 4.0 Communication Guideline Based on OPC UA F Pethig, S Schriegel, A Maier, J Otto, S Windmann, B Böttcher, ... VDMA, Fraunhofer IOSBN-INA, Tech. Rep., 2017 | 15 | 2017 |
| Generation of adversarial examples to prevent misclassification of deep neural network based condition monitoring systems for cyber-physical production systems F Specht, J Otto, O Niggemann, B Hammer 2018 IEEE 16th International Conference on Industrial Informatics (INDIN …, 2018 | 10 | 2018 |
| Online parameter estimation for cyber-physical production systems based on mixed integer nonlinear programming, process mining and black-box optimization techniques J Otto, B Vogel-Heuser, O Niggemann at-Automatisierungstechnik 66 (4), 331-343, 2018 | 10 | 2018 |
| Optimizing modular and reconfigurable cyber-physical production systems by determining parameters automatically J Otto, B Vogel-Heuser, O Niggemann 2016 IEEE 14th International Conference on Industrial Informatics (INDIN …, 2016 | 9 | 2016 |
| Plug-and-Produce: Semantic Module Profile. J Otto, B Böttcher, O Niggemann MBEES, 90-99, 2013 | 7 | 2013 |
| Industrie 4.0 kommunikation mit opc ua leitfaden zur einführung in den mittelstand F Pethig, S Schriegel, A Maier, J Otto, S Windmann, B BOTTCHER, ... VDMA Guideline, 32, 2017 | 6 | 2017 |
| Models for adaptable automation software: an overview of plug-and-produce in industrial automation O Niggemann, S Henning, S Schriegel, J Otto, A Anis 11th MBEES Workshop, 73-82, 2015 | 6 | 2015 |
| Selbstkonfiguration in der Automation S Schriegel, O Niggemann, J Otto, L Dürkop, S Henning | 1 | 2015 |
| Cyberattack Impact Reduction using Software-Defined Networking for Cyber-Physical Production Systems F Specht, J Otto, J Eickmeyer 2022 IEEE 20th International Conference on Industrial Informatics (INDIN …, 2022 | | 2022 |
| Security-Tests für Industriekomponenten nach IEC 62443–Fuzzing-Testing von Kommunikationsschnittstellen J Otto, F Specht, B Waldeck | | 2022 |
| Command Signal Configuration for Control Strategies of Discrete Production Systems J Otto Universität München, 2021 | | 2021 |
| Praxisnahes Lernen: IT-Sicherheit in der Industrie 4.0 C Haas, J Otto | | 2021 |
| Hardening Deep Neural Networks in Condition Monitoring Systems against Adversarial Example Attacks F Specht, J Otto Machine Learning for Cyber Physical Systems: Selected papers from the …, 2021 | | 2021 |
| Pattern-based control-code synthesis S Henning, J Otto, O Niggemann 2016 IEEE 14th International Conference on Industrial Informatics (INDIN …, 2016 | | 2016 |
Oliver NiggemannHelmut-Schmidt-Universität / Universität der Bundeswehr HamburgBestätigte E-Mail-Adresse bei hsu-hh.de
