ACSOS 2022
Mon 19 - Fri 23 September 2022 virtual
Wed 21 Sep 2022 19:15 - 20:45 at Poster Room - Artifacts in ACSOS and Posters and Demos

Adaptive software systems can reduce food waste and improve food safety. Such systems include smart sensors to monitor the food’s condition and machine learning-based data analysis to predict the food’s quality and shelf life. In particular, monitoring is challenging for several reasons, e.g., the energy supply/demand and the reliability of the sensors. Therefore, this work sketches how the Multi-Level Observer/Controller architecture from Organic Computing might be applied for the adaptive monitoring of packaged foods.

Towards Adaptive, Real-time Monitoring of Food Quality Using Smart Sensors - Poster (2022_ACSOS_Adaptive Monitoring of Food Quality.pdf)1.1MiB

Wed 21 Sep

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19:15 - 20:45
Artifacts in ACSOS and Posters and DemosPosters and Demos / Artifacts at Poster Room
19:15
90m
Poster
Towards Adaptive, Real-time Monitoring of Food Quality Using Smart Sensors
Posters and Demos
Elia Henrichs University of Hohenheim, Germany, Christian Krupitzer University of Hohenheim, Germany
File Attached
19:15
90m
Poster
Specifying Reactive Robotic Applications With Reference Attribute Motion Grammars
Posters and Demos
Johannes Mey Technische Universität Dresden, René Schöne Technische Universität Dresden, Ariel Podlubne , Uwe Aßmann TU Dresden, Germany
Pre-print File Attached
19:15
90m
Poster
Towards Resilient Execution of Adaptation in Decentralized Self-Adaptive Software Systems
Posters and Demos
Daniel Matusek TU Dresden
19:15
90m
Other
ML-DEECo: a Machine-Learning-Enabled Framework for Self-organizing Components
Artifacts
Michal Töpfer Charles University, Milad Abdullah Charles University, Martin Kruliš Charles University, Tomas Bures Charles University, Czech Republic, Petr Hnětynka Charles University