CS Energy

Results: 537



#Item
111

CorLayer: A Transparent Link Correlation Layer for Energy Efficient Broadcast Shuai Wang Song Min Kim

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Source URL: www-users.cs.umn.edu

Language: English - Date: 2013-10-25 14:11:17
    112

    Enabling Bit-by-Bit Backscatter Communication in Severe Energy Harvesting Environments Pengyu Zhang, Deepak Ganesan {pyzhang, dganesan}@cs.umass.edu University of Massachusetts Amherst

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    Source URL: people.cs.umass.edu

    Language: English - Date: 2014-02-26 20:26:55
      113

      Energy-Efficient Voltage Scheduling of Peripheral Components on Wireless Sensor Nodes Stephan Friedrichs, Ulf Kulau and Lars Wolf Technische Universit¨at Braunschweig Institute of Operating Systems and Computer Networks

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      Source URL: www.ibr.cs.tu-bs.de

      Language: English - Date: 2014-06-03 06:53:42
        114

        Design implications for social-energy applications Tawanna Dillahunt, Jen Mankoff CMU-HCIIFebruary 29, 2012

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        Source URL: reports-archive.adm.cs.cmu.edu

        Language: English - Date: 2012-03-05 14:28:54
          115

          Post-compiler Software Optimization for Reducing Energy Eric Schulte ∗ Jonathan Dorn † Stephen Harding Stephanie Forrest ∗ Westley Weimer † ∗ Department

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          Source URL: dijkstra.cs.virginia.edu

          Language: English - Date: 2014-03-12 00:55:44
            116

            Free-range Resonant Electrical Energy Delivery System (FREE-D) for a Ventricular Assist Device Ben Waters (MS EE), Alanson Sample (PhD EE) Joshua Smith (PhD EE), Pramod Bonde (MD) University of Washington

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            Source URL: sensor.cs.washington.edu

            Language: English - Date: 2012-09-14 16:56:20
              117

              Energy Savings Prediction a Case Study

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              Source URL: electionanalytics.cs.illinois.edu

              Language: English - Date: 2015-02-13 13:08:42
                118

                Quanto: Tracking Energy in Networked Embedded Systems Rodrigo Fonseca„ ? , Prabal Dutta„ , Philip Levis… , and Ion Stoica„ {rfonseca,prabal,istoica}@cs.berkeley.edu „ Computer Science Division

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                Source URL: sing.stanford.edu

                Language: English - Date: 2014-11-10 14:32:24
                  119

                  Predictability of Energy Use in Homes David Lachut Nilanjan Banerjee Computer Science and Electrical Engineering Computer Science and Electrical Engineering

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                  Source URL: www.cs.usfca.edu

                  Language: English - Date: 2014-08-22 18:02:04
                    120

                    Using Rule Mining to Understand Appliance Energy Consumption Patterns Sami Rollins Nilanjan Banerjee

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                    Source URL: www.cs.usfca.edu

                    Language: English - Date: 2014-02-21 17:53:06
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