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1 - 6 of 6 search results for katalk:za33 24 |u:mobile-systems.cl.cam.ac.uk where 0 match all words and 6 match some words.
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  2. Evolution and Sustainability of aWildlife Monitoring Sensor Network…

    https://mobile-systems.cl.cam.ac.uk/papers/sensys10.pdf
    1 Sep 2010: In addition, we reduced the fre-quency of neighbor advertisement and solicitation messagessuch that they had a validity of 24 hours. ... Throughout ourevaluation, we used N = 24 1-hour timeslots, that is T =3600s.
  3. On Nonstationarity of Human Contact NetworksSalvatore Scellato∗,…

    https://mobile-systems.cl.cam.ac.uk/papers/simplex10.pdf
    14 Apr 2010: A. Diffusion Entropy Analysis. After discovering that many natural phenomena follow cer-tain scaling laws [24], Diffusion Entropy Analysis (DEA) hasbeen put forward as a technique for measuring the correlatedvariations in ... 24] B. B. Mandelbrot. The
  4. Analysing Information Flows and Key Mediatorsthrough Temporal…

    https://mobile-systems.cl.cam.ac.uk/papers/sns10.pdf
    29 Mar 2010: Fri Sat. Sun. Figure 1: Temporal Graph showing a typical week of activity during Nov 2001 using 24-hour windows (left)and aggregated static graph (right). ... Nodes represent employees; a link between two employees exists if anemail was sent by one of
  5. EmotionSense: A Mobile Phones based Adaptive Platform for…

    https://mobile-systems.cl.cam.ac.uk/papers/Ubicomp10.pdf
    29 Jun 2010: users over 24 hours. ... RELATED WORKIn the past years, we have witnessed an increasing interest inthe use of ubiquitous technologies for measuring and mon-itoring user behavior [24].
  6. Energy-Accuracy Trade-offs in Querying Sensor Data forContinuous…

    https://mobile-systems.cl.cam.ac.uk/papers/ubiworkshop10.pdf
    5 Jul 2010: 0 3 6 9 12 15 18 21 24 27 30 33 36 39 42 45. ... 28.5. 29. 29.5. 30. 30.5. 31. 31.5. 0 3 6 9 12 15 18 21 24 27 30 33 36 39 42 45.
  7. Distance Matters: Geo-social Metrics for Online Social Networks…

    https://mobile-systems.cl.cam.ac.uk/papers/wosn2010.pdf
    25 May 2010: Seed users were acquired by accessingthe public timeline over 24 hours and then 1,000 userswere randomly selected among all the users retrieved.The duration of the crawl was 9 days, ... 19–24. [11] KUMAR, R., NOVAK, J., AND TOMKINS, A. Structure and Evo

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