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  2. nips2009.dvi

    https://mobile-systems.cl.cam.ac.uk/papers/nips2009.pdf
    4 Dec 2011: RFID readers were deployed at21 locations throughout the conference area for tracking the participants. ... Despite thefact that the overall number of users who have used RFID tags were 1281, only 410 of them decidedto fill the questionnaire.
  3. A Study of Bluetooth Low Energy Performance forHuman Proximity ...

    https://mobile-systems.cl.cam.ac.uk/papers/percom17.pdf
    11 Jan 2017: Other technologies have also been proposed, for instance,RFID [17], Zigbee radio [18], infrared sensors [12] and hybridapproaches with radio and ultrasound sensors [13]. ... This represents an improvement when compared tothe 20 seconds granularity of
  4. METIS: Exploring mobile phone sensing offloading for efficiently…

    https://mobile-systems.cl.cam.ac.uk/papers/percom2013.pdf
    24 Jan 2013: environment. Mostmodern buildings are instrumented with a variety of sensors,such as RFID access control systems, Passive Infraredsensors, light sensors, etc.
  5. Poster Abstract: Wildlife and Environmental Monitoring usingRFID and…

    https://mobile-systems.cl.cam.ac.uk/papers/sensys09.pdf
    4 Sep 2009: General TermsAlgorithms, Design. KeywordsWireless Sensor Networks, RFID Technology, In-. Network Storage, Duty Cycling. ... mobile sink. detection node 2. detection node 3802.15.4 link. RFID link.
  6. Evolution and Sustainability of aWildlife Monitoring Sensor Network…

    https://mobile-systems.cl.cam.ac.uk/papers/sensys10.pdf
    1 Sep 2010: Figure 3. Map of the study area showing RFID detectionnodes: square = setts; circle = latrines. ... In essence, we simply encode the difference between abase RFID observation and subsequent readings.
  7. 39 WILDSENSING: Design and Deployment of a Sustainable SensorNetwork…

    https://mobile-systems.cl.cam.ac.uk/papers/tosn2011.pdf
    27 Apr 2011: RFID receivers, referred to as detectionnodes, were placed in key locations throughout the woods. ... Fig. 4. Map of the study area showing RFID detection nodes: square = setts; circle = latrines.
  8. black Measuring Interaction Proxemics with Wearable Light Tags

    https://mobile-systems.cl.cam.ac.uk/papers/ubicomp2018-montanari.pdf
    6 Mar 2018: 25. Measuring Interaction Proxemics with Wearable Light Tags. ALESSANDRO MONTANARI, Computer Laboratory, University of CambridgeZHAO TIAN, Department of Computer Science, Dartmouth CollegeELENA FRANCU, School of Business and Economics, Maastricht
  9. 978-1-4673-1239-4/12$31.00 c©2012 IEEE STOP: Socio-Temporal…

    https://mobile-systems.cl.cam.ac.uk/papers/wowmom12.pdf
    3 Apr 2012: demonstrated the feasibilityof a RFID based worm propagation [17]. STOP addressesthe important issue of containing short range transmissionof mobile worms, by utilizing the same propagation channelwhich facilitates quick spreading via social
  10. Publications

    https://mobile-systems.cl.cam.ac.uk/publications.html
    2 May 2024: University of Cambridge. Mobile Systems Research Lab. 2024. TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge. Young D. Kwon, Rui Li, Stylianos Venieris, Jagmohan Chauhan, Nicholas D. Lane, Cecilia Mascolo. In
  11. Delivery Plan 2019 Front cover: Sagittal image of a ...

    https://neuroscience.cam.ac.uk/wp-content/uploads/2022/06/MRC-250920-DeliveryPlan2019.pdf
    22 Sep 2023: The illustration shows the actual movement of the rats/automated tracking of RFID transponder.

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