Jan Beutel
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- Wireless Sensor Networks in Permafrost Research: Concept, Requirements, Implementation, and ChallengesItem type: Conference Paper
Proceedings of the 9th International Conference on PermafrostHasler, Andreas; Talzi, Igor; Beutel, Jan; et al. (2008) - Robust topology formation using BTnodesItem type: Journal Article
Computer CommunicationsBeutel, Jan (2005) - Experiences with a Decade of Wireless Sensor Networks in Mountain Cryosphere ResearchItem type: Other Conference Item
Geophysical Research AbstractsBeutel, Jan; PermaSense Team (2017) - Sensor Network Maintenance ToolkitItem type: Other Conference Item
Technical report ~ Wireless Sensor Network : Third European Workshop, EWSN 2006 Zurich, Switzerland, February 2006 : Adjunct ProceedingsBeutel, Jan; Dyer, Matthias; Martin, Kevin (2006) - Permanent monitoring of alpine slope instabilities with L1-GPSItem type: Other Conference Item
Geophysical Research AbstractsLimpach, Philippe; Geiger, Alain; Su, Zhenzhong; et al. (2013) - Monitoring mass movements using georeferenced time-lapse photography: Ritigraben rock glacier, western Swiss AlpsItem type: Journal Article
Cold Regions Science and TechnologyKenner, Robert; Phillips, Marcia; Limpach, Philippe; et al. (2018) - Quantifying irreversible fracture deformation in steep fractured bedrock permafrost at MatterhornItem type: Conference PosterWeber, Samuel; Beutel, Jan; Faillettaz, Jérome; et al. (2016)
- Resolving the influence of temperature forcing through heat conduction on rockglacier dynamics: a numerical modelling approachItem type: Working Paper
The Cryosphere DiscussionsCicoira, Alessandro; Beutel, Jan; Faillettaz, Jérôme; et al. (2018)In recent years, observations have highlighted seasonal and inter-annual variability in rockglacier flow. Temperature forcing, through heat conduction, has been proposed as one of the key processes to explain these variations in kinematics. However, this mechanism has not yet been quantitatively assessed against real-world data. We present a 1-D numerical modelling approach that couples heat conduction to an empirically derived creep model for ice-rich frozen soils. We use this model to investigate the effect of thermal heat conduction on seasonal and inter-annual variability in rockglacier flow. We compare the model results with borehole temperature data and surface velocity measurements from the PERMOS and PermaSense monitoring network in the Swiss Alps. We further conduct a model sensitivity analysis in order to resolve the importance of the different model parameters. Using the prescribed empirically derived rheology and observed near-surface temperatures, we are able to model the right order of magnitude of creep flow. However, both inter-annual and seasonal variability are underestimated by an order of magnitude, implying that heat conduction alone can not explain the observed variations. Therefore, non-conductive processes, likely linked to water availability, dominate the short-term velocity signal. - The Time-Triggered Wireless ArchitectureItem type: Conference Paper
Leibniz International Proceedings in Informatics (LIPIcs) ~ 32nd Euromicro Conference on Real-Time Systems (ECRTS 2020)Jacob, Romain; Zhang, Licong; Zimmerling, Marco; et al. (2020)Wirelessly interconnected sensors, actuators, and controllers promise greater flexibility, lower installation and maintenance costs, and higher robustness in harsh conditions than wired solutions. However, to facilitate the adoption of wireless communication in cyber-physical systems (CPS), the functional and non-functional properties must be similar to those known from wired architectures. We thus present Time-Triggered Wireless (TTW), a wireless architecture for multi-mode CPS that offers reliable communication with guarantees on end-to-end delays among distributed applications executing on low-cost, low-power embedded devices. We achieve this by exploiting the high reliability and deterministic behavior of a synchronous transmission based communication stack we design, and by coupling the timings of distributed task executions and message exchanges across the wireless network by solving a novel co-scheduling problem. While some of the concepts in TTW have existed for some time and TTW has already been successfully applied for feedback control and coordination of multiple mechanical systems with closed-loop stability guarantees, this paper presents the key algorithmic, scheduling, and networking mechanisms behind TTW, along with their experimental evaluation, which have not been known so far. TTW is open source and ready to use: https://ttw.ethz.ch. - Thermoelectric energy harvesting from gradients in the earth surfaceItem type: Journal Article
IEEE Transactions on Industrial ElectronicsSigrist, Lukas; Stricker, Naomi; Bernath, Dominic; et al. (2020)
Publications1 - 10 of 200