Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Horst Sauer"'
Autor:
Jonas Fritzsch, Justus Bogner, Markus Haug, Ana Cristina Franco da Silva, Carolin Rubner, Matthias Saft, Horst Sauer, Stefan Wagner
Publikováno v:
Software: Practice and Experience. 53:790-810
The domain of cyber-physical systems (CPS) has recently seen strong growth, e.g., due to the rise of the Internet of Things (IoT) in industrial domains, commonly referred to as "Industry 4.0". However, CPS challenges like the strong hardware focus ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d58fa2d5aaf6629f020adff9053601ce
https://doi.org/10.1002/spe.3169
https://doi.org/10.1002/spe.3169
Autor:
Lenz Belzner, Thomy Phan, Andreas Sedlmeier, Thomas Gabor, Reiner Schmid, Horst Sauer, Cornel Klein, Fabian Ritz, Claudia Linnhoff-Popien, Marie Kiermeier, Jan Wieghardt, Marc Zeller, Bernhard Kempter
Publikováno v:
International Journal on Software Tools for Technology Transfer. 22:457-476
Systems are becoming increasingly more adaptive, using techniques like machine learning to enhance their behavior on their own rather than only through human developers programming them. We analyze the impact the advent of these new techniques has on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15e0f39ca413e8f117bd1b99fc4ff0df
https://doi.org/10.1007/s10009-020-00560-5
https://doi.org/10.1007/s10009-020-00560-5
Autor:
Fabian Ritz, Thomy Phan, Andreas Sedlmeier, Philipp Altmann, Jan Wieghardt, Reiner Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien, Thomas Gabor
Publikováno v:
Leveraging Applications of Formal Methods, Verification and Validation. Adaptation and Learning ISBN: 9783031197581
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd156f7768659289c0113dbf182fff43
https://doi.org/10.1007/978-3-031-19759-8_16
https://doi.org/10.1007/978-3-031-19759-8_16
Autor:
Fabian Ritz, Thomy Phan, Robert Müller, Thomas Gabor, Andreas Sedlmeier, Marc Zeller, Jan Wieghardt, Reiner Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031101601
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af91a43a63441031d6e14db240a9194d
https://doi.org/10.1007/978-3-031-10161-8_1
https://doi.org/10.1007/978-3-031-10161-8_1
Autor:
Horst Sauer, Jan Wieghardt, Thomy Phan, Marie Kiermeier, Bernhard Kempter, Cornel Klein, Reiner SchmidSiemens Ag, Monika Pichlmair, Andreas Sedlmeier, Marcel Henrich, Thomas Gabor
Publikováno v:
GECCO
Adversarial learning has been established as a successful paradigm in reinforcement learning. We propose a hybrid adversarial learner where a reinforcement learning agent tries to solve a problem while an evolutionary algorithm tries to find problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da05217f9d4088841ca107cf6f844aa3
https://doi.org/10.1145/3321707.3321831
https://doi.org/10.1145/3321707.3321831
Publikováno v:
INDIN
In this paper, we extend an existing approach for monitoring work-pieces in Self-Organizing Industrial Systems (SOIS) to be applicable to more complex SOIS settings, where autonomous agents can move and regulate their velocity completely free. The pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f94762796a3f8100af4eefbe6041cf3b
https://doi.org/10.1109/indin.2018.8471995
https://doi.org/10.1109/indin.2018.8471995
Autor:
Bernhard Kempter, Marie Kiermeier, Thomas Gabor, Reiner Schmid, Horst Sauer, Jan Wieghardt, Cornel Klein, Andreas Sedlmeier
Publikováno v:
Leveraging Applications of Formal Methods, Verification and Validation. Distributed Systems ISBN: 9783030034238
ISoLA (3)
ISoLA (3)
From formal and practical analysis, we identify new challenges that self-adaptive systems pose to the process of quality assurance. When tackling these, the effort spent on various tasks in the process of software engineering is naturally re-distribu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6faff8d46e2c9f01e19730c66601e7c1
https://doi.org/10.1007/978-3-030-03424-5_10
https://doi.org/10.1007/978-3-030-03424-5_10
Publikováno v:
INDIN
In this work, we present a monitoring system for Self-Organizing Industrial Systems (SOIS). It is based on an anomaly detection approach which evaluates the movement of objects within a factory by putting them together from sub-trajectories. By intro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::678463b2312d7ace8f91c18331d1fbc9
https://doi.org/10.1109/indin.2017.8104851
https://doi.org/10.1109/indin.2017.8104851
Publikováno v:
INDIN
The main challenge for anomaly detection in Self-Organizing Industrial Systems (SOIS) is the high degree of freedom of the system, which causes a state-space explosion. Since the system is free to choose at runtime any solution out of the vast amount
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d24a1a70e08b7e77d0aaf2bbbe73332
https://doi.org/10.1109/indin.2017.8104779
https://doi.org/10.1109/indin.2017.8104779
Publikováno v:
ICIT
In this paper, we present a novel anomaly detection method which addresses the main challenge of self-organizing industrial systems: the state space explosion. In particular, the flexibility and dynamic nature of such systems result in an exponential
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f3d4d29206635d3fc388f660365670a
https://doi.org/10.1109/icit.2017.7915538
https://doi.org/10.1109/icit.2017.7915538