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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Device Information Modeling in Automation - A Computer-Scientific Approach

Gössling, Andreas 17 March 2014 (has links) (PDF)
This thesis presents an approach for device information modeling that is meant to ease the challenges of device manufacturers in the automation domain. The basis for this approach are semantic models of the application domain. The author discusses the challenges for integration in the automation domain and especially regarding field devices, device description languages and fieldbuses. A method for the generation of semantic models is presented and an approach is discussed that is meant to help the generation of device descriptions for different device description languages. The approach is then evaluated.
2

Device Information Modeling in Automation - A Computer-Scientific Approach

Gössling, Andreas 27 February 2014 (has links)
This thesis presents an approach for device information modeling that is meant to ease the challenges of device manufacturers in the automation domain. The basis for this approach are semantic models of the application domain. The author discusses the challenges for integration in the automation domain and especially regarding field devices, device description languages and fieldbuses. A method for the generation of semantic models is presented and an approach is discussed that is meant to help the generation of device descriptions for different device description languages. The approach is then evaluated.
3

A Models@run.time Approach for Multi-objective Self-optimizing Software

Götz, Sebastian, Kühn, Thomas, Piechnick, Christian, Püschel, Georg, Aßmann, Uwe 05 July 2021 (has links)
This paper presents an approach to operate multi-objective self-optimizing software systems based on the models@run.time paradigm. In contrast to existing approaches, which are usually specific to a single or selected set of objectives (e.g., performance and/or reliability), the presented approach is generic in that it allows the software architect to model the relevant concerns of interest to self-optimization. At runtime, these models are interpreted and used to generate optimization problems. To evaluate the applicability of the approach, a scalability analysis is provided, showing the approach’s feasibility for at least two objectives.
4

Automating Security Risk and Requirements Management for Cyber-Physical Systems

Hansch, Gerhard 15 October 2020 (has links)
No description available.

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