Jens Otto
Jens Otto
Fraunhofer IOSB
Verified email at iosb-ina.fraunhofer.de - Homepage
Title
Cited by
Cited by
Year
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
402014
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
392014
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
382017
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
172014
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
132018
Automatic parameterization of automation software for plug-and-produce
J Otto, O Niggemann
Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
132015
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
122017
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
72016
Plug-and-Produce: Semantic Module Profile.
J Otto, B Böttcher, O Niggemann
MBEES, 90-99, 2013
72013
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
52018
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
52015
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
32018
Selbstkonfiguration in der Automation
S Schriegel, O Niggemann, J Otto, L Dürkop, S Henning
12015
Hardening Deep Neural Networks in Condition Monitoring Systems against Adversarial Example Attacks
F Specht, J Otto
Machine Learning for Cyber Physical Systems, 103-111, 2021
2021
Pattern-based control-code synthesis
S Henning, J Otto, O Niggemann
2016 IEEE 14th International Conference on Industrial Informatics (INDIN …, 2016
2016
Selbstkonfiguration in der Automation
S Schriegel, J Otto, L Dürkop, S Henning
Plug-and-Produce: Semantic Module Profile
O Niggemann, J Otto, B Böttcher
Eine Taxonomie für Plug-and-Produce
J Otto, S Schriegel, O Niggemann
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