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      <header>
        <identifier>oai:www.ideals.illinois.edu:2142/81105</identifier>
        <datestamp>2023-07-11</datestamp>
        <setSpec>col_2142_5131</setSpec>
        <setSpec>col_2142_8888</setSpec>
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        <thesis xmlns="http://www.ndltd.org/standards/metadata/etdms/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.ndltd.org/standards/metadata/etdms/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdms11.xsd http://purl.org/dc/elements/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdmsdc.xsd">
          <dc:date>2015-09-25T20:09:36Z</dc:date>
          <dc:date>10000-01-01</dc:date>
          <dc:date>2008</dc:date>
          <dc:date>2008</dc:date>
          <dc:contributor>Overbye, Thomas J.</dc:contributor>
          <dc:creator>Tate, Joseph Euzebe</dc:creator>
          <dc:date>2015-09-25T20:09:36Z</dc:date>
          <dc:description>In addition to the new methods presented for the processing of PMU data, techniques for visualization of PMU data in its processed and unprocessed forms are described. A new technique based on graphical processing units (GPUs), developed to allow rendering speeds to match the relatively fast data rate of PMUs, is presented, along with results demonstrating the marked increase in visualization speed. Some of the benefits of speeding up contouring are discussed, including how PMU derivative information can be visualized with GPU-based rendering.</dc:description>
          <dc:description>Made available in DSpace on 2015-09-25T20:09:36Z (GMT). No. of bitstreams: 2
license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5)
3337937.pdf: 8475041 bytes, checksum: 2cbf816da06ee51a4790337fe2f67508 (MD5)
  Previous issue date: 2008</dc:description>
          <dc:description>Embargo set by: Seth Robbins for item 82387
Lift date: Forever
Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs</dc:description>
          <dc:description>Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs</dc:description>
          <dc:description>U of I Only</dc:description>
          <dc:description>193 p.</dc:description>
          <dc:description>Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008.</dc:description>
          <dc:identifier>http://hdl.handle.net/2142/81105</dc:identifier>
          <dc:identifier>(MiAaPQ)AAI3337937</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:subject>Engineering, Electronics and Electrical</dc:subject>
          <dc:title>Event Detection and Visualization Based on Phasor Measurement Units for Improved Situational Awareness</dc:title>
          <dc:type>text</dc:type>
          <degree>
            <department>Electrical and Computer Engineering</department>
            <discipline>Electrical and Computer Engineering</discipline>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Dissertation</level>
            <name>Ph.D.</name>
          </degree>
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