Schoof Facta Universitatis, Series: Electronics and Energetics 25(1), 1 (2013) A Fair Trade Multi-Hop Routing in Wireless Sensor Networks O. Stecklina, P. Langendörfer, Ch. Goltz Proc. 6th Joint IFIP Wireless [...] Networking Conference (WMNC2013), (2013) A Lifetime Forecast Scheme for a Distributed Low Duty Cycle Multi-Hop Routing in Wireless Sensor Networks O. Stecklina, P. Langendörfer, Ch. Goltz International Journal [...] Cable and Broadcasting Services (TELSIKS 2013), Nis, October 16 - 19, 2013, Serbia A Fair Trade Multi-Hop Routing in Wireless Sensor Networks O. Stecklina, P. Langendörfer, Ch. Goltz 6th Joint IFIP Wireless
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IEEE 802.15.4 MAC Protokoll (Diplomarbeit) Entwurf und Implementierung eines energieeffizienten Multi-Hop Routings auf Basis eines verteilten Low-Duty-Cycle-Protokolls (Masterarbeit) Architektur einer ein
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Fertigkeiten“ Veröffentlichungen Klein, S. & Urbig, D. (30.09.2022). The motivational effects of hope on training: Hope for success with or without effort. VHB-Herbstworkshop der Wissenschaftlichen Kommission [...] Personal, Berlin. Klein, S. & Urbig, D. (21.07.2022). The motivational effects of hope on effort: a vignette study with possibility and probability. Forschungsseminar der Erasmus Happiness Economics Research
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ClimeHop is a mobile application to teach the concept of cost-effectiveness in land-use-based biodiversity conservation, and, especially, what to consider under climate change. The app may be downloaded [...] downloaded by searching for “ClimeHop” in the Google Play Store (available from Android 10)/ App Store (available from iOS 15) on your mobile device. To help integrate the app in a class, we have prepared resources
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deadline is on the 27th of January. Elections We are currently electing our new Board of Students and hope for an active participation. You can vote during lunch from 1-1:45pm at the mensa from the 15th-18th
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rooms. The web conference option has been set up on very short notice with litte time to test. We hope that anything will run smooth and ask you for your understanding and patience if the connection is
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(Schanz et al. 2016) and data assimilation techniques, like FlowFit (Gesemann et al. 2016), raises hope that for moderate Reynolds numbers the full (time-resolved) velocity gradient tensor might be captured
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