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  1. Center for Embedded Network Sensing - Wikipedia

    en.wikipedia.org/wiki/Center_for_Embedded...

    The Center for Embedded Networked Sensing ( CENS) was a research enterprise funded by the National Science Foundation based at the University of California, Los Angeles . CENS was established at UCLA in 2002. The group conducted research primarily in the computer science subfield of embedded sensor networks. While the core research was grounded in computer science, the applications studied spanned a large range of fields including military applications, ecology, seismology, security ...

  2. Center for Embedded Network Sensing - WikiMili, The Free ...

    wikimili.com/en/Center_for_Embedded_Network_Sensing

    Mar 18, 2019 ยท The Center for Embedded Networked Sensing (CENS) was [1] a research enterprise funded by the National Science Foundation based at the University of California, Los Angeles. Research comprises "creative and systematic work undertaken to increase the stock of knowledge, including knowledge of humans, culture and society, and the use of this stock of knowledge to devise new applications."

  3. Wireless sensor network - Wikipedia

    en.wikipedia.org/wiki/Sensor_network

    Devices embedded in the environment track the physical state of a person for continuous health diagnosis, using as input the data from a network of depth cameras, a sensing floor, or other similar devices. Body-area networks can collect information about an individual's health, fitness, and energy expenditure.

  4. center for embedded network sensing : definition of center ...

    dictionary.sensagent.com/center for embedded network...

    The Center for Embedded Networked Sensing (CENS) is a research enterprise funded by the National Science Foundation based at the University of California, Los Angeles. CENS was established at UCLA in 2002. The group conducts research primarily in the computer science subfield of embedded sensor networks.

  5. Center for Embedded Networked Sensing - How is Center for ...

    acronyms.thefreedictionary.com/Center+for...

    It is Center for Embedded Networked Sensing. Center for Embedded Networked Sensing listed as CENS. ... Wikipedia Encyclopedia. Tools. A; A; A; A; Language:

  6. the node level performance to network-wide power estimation. At the node level, our framework combines power simulator for the StrongARM processor with a radio and a sensing component. This is then integrated into SensorSim, an enhanced version of the ns-2 network simulator that also incorporates the

  7. NSF Award Search: Award#0120778 - Center for Embedded ...

    www.nsf.gov/awardsearch/showAward?AWD_ID=0120778

    ABSTRACT 0120778 U of Calif - Los Angeles The research focus of the Center for Embedded Networked Sensing (CENS) will be the fundamental science and engineering research needed to create scalable, robust, adaptive, sensor/actuator networks. The vision of densely distributed, networked sensing and actuation requires advances in many areas of information technology.

  8. WITI - Deborah Estrin

    www.witi.com/halloffame/247718/Deborah-Estrin...

    Director, Center for Embedded Networked Sensing, Professor UCLA Inducted in 2008 Deborah Estrin is a professor of computer science at Cornell Tech. She served as a professor of computer science with a joint appointment in electrical engineering at UCLA.

  9. center for nanoscience : definition of center for nanoscience ...

    dictionary.sensagent.com/center for nanoscience/en-en

    For CENS, see Center for Embedded Network Sensing. The Center for NanoScience (CeNS) was founded in 1998 at the Ludwig-Maximilians-University (LMU) in Munich . Its aim is to promote, bundle and join interdisciplinary research in the field of nanoscience in the Munich area.

  10. Deborah Estrin | Center for Health Journalism

    www.centerforhealthjournalism.org/resources/...

    Biography. Deborah Estrin is founding director of the National Science Foundation-funded Center for Embedded Networked Sensing (CENS) at UCLA, where she holds the Jon Postel Chair in Computer Networks and has a joint appointment in electrical engineering. Her most recent work focuses on participatory sensing systems, leveraging the location, image and user-contributed data streams increasingly available globally from mobile smartphones.