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1 - 10 of 79 search results for `such as RFID`

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  2. AMI: Can you help us build a virtual chemistry laboratory in Second…

    https://blogs.ch.cam.ac.uk/pmr/2010/06/17/ami-can-you-help-us-build-a-virtual-chemistry-laboratory-in-second-life/
    17 Jan 2022: It’s an experiment in that we don’t know exactly what we are going to do, but we have a lab full of inexpensive sensors and transducers (IR, Ultrasound, RFID, ... Many of these will automatically capture events such as humans coming to AMI.

  3. petermr's blog | A Scientist and the Web | Page 86

    https://blogs.ch.cam.ac.uk/pmr/page/86/
    17 Jan 2022: Mary 16 July, 2010. I’m curious to know how this FoI ruling will apply to cases where university researchers such as myself who are industry funded and have non-disclosure ... Many of these will automatically capture events such as humans coming to AMI.

  4. A c4e preprint by the Computational Modelling Group

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-174.pdf
    1 May 2019: IoT. They include wiredor wireless sensors, radio frequency identification (RFID) tags, input-output devices withinteractive functions such as displaying, editing, and analysing information, or as controldevices sending instructions or commands to

  5. The Digital Lab Manager: Automating Research Support

    https://como.ceb.cam.ac.uk/media/preprints/c4e_318_sdr39_Digital_Laboratory_Manager.pdf
    25 Jan 2024: Establishing dedicated ontologiesand agents and combining them with technologies such as QR codes, RFID tags,and mobile apps, enabled us to develop modular applications that tackle some keychallenges related to lab ... RFID is a key enabler of Industry

  6. Computational Modelling Group: Preprint 318

    https://como.ceb.cam.ac.uk/preprints/318/
    Establishing dedicated ontologies and agents and combining them with technologies such as QR codes, RFID tags, and mobile apps, enabled us to develop modular applications that tackle some key challenges related ... Here, we showcase an automated tracking

  7. Computational Modelling Group: Publication ST-29-100135-

    https://como.ceb.cam.ac.uk/publications/ST-29-100135-/
    Establishing dedicated ontologies and agents and combining them with technologies such as QR codes, RFID tags, and mobile apps, enabled us to develop modular applications that tackle some key challenges related ... Here, we showcase an automated tracking

  8. Carl Zeiss Microscopy - Automation Assessment - IfM Engage

    https://engage.ifm.eng.cam.ac.uk/project/challenging-thinking-at-carl-zeiss-microscopy/
    A good example of this is Auto-ID technologies (such as barcode or RFID) upon which several of our planned automation projects depended. ... IfM Engage has shown great enthusiasm in working with us locally but also in engaging with the wider ZEISS network

  9. PrecisionAgriculture andthe Future ofFarming in EuropeTechnical…

    https://haseloff.plantsci.cam.ac.uk/resources/SynBio_reports/EPRS_STU(2016)581892_EN.pdf
    14 Aug 2023: Physical factors such as climate, topography, soil type and latitude determine theagricultural potential for a given area. ... Source: Eurostat, [ef_mporganic]. Source: Eurostat, [ef_mporganic]. 3 This data differs from other Eurostat tables, such as [org

  10. Cognitive Systems Engineering @ Cambridge University

    https://mlg.eng.cam.ac.uk/cogsys/
    27 Jan 2023: Current research interests relate to multi-scale image and video processing methods and their application to tasks such as object recognition, image classification, object tracking and scene interpretation. ... The value of information problem is of

  11. METIS: Exploring mobile phone sensing offloading for efficiently…

    https://mobile-systems.cl.cam.ac.uk/papers/percom2013.pdf
    24 Jan 2013: Systems such as CenceMe [2], orEmotionsense [12], utilize a combination of accelerometer,Bluetooth, location, and microphone, in order to characterizea particular social situation. ... environment. Mostmodern buildings are instrumented with a variety of

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