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  <title>Structural Diagnostic via Compressive Sensing</title>
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  <namePart>Casciati, F.</namePart>
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  <publisher>Taylor &amp; Francis</publisher>
  <dateIssued>2012</dateIssued>
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  <languageTerm type="text">Indonesia</languageTerm>
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  <title>Bridge Maintenance, Safety, Management, Resilience And Sustainability</title>
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 <note>Wireless sensor networks (WSN) are built of spatially distributed nodes which are connected to&#13;
one or more sensors. Each sensor node typically consists of several parts that are connected to an energy&#13;
source like a battery, which limits the power resources of a wireless sensor. The major energy demanding&#13;
parts in a sensor network node are the processor and the transmitter. Typically, those nodes that work continuously&#13;
consume huge amounts of power. This suggested reducing the quantity of the obtained data to reduce&#13;
the required power, of course without losing any important data. It means that the data should be sent&#13;
through sensors with minimal additional operations performed by the processor. This is called the Compressive&#13;
Sensing which is an innovative technique that fulfills the previously mentioned requirements. The aim of&#13;
this research is to evaluate the reliability of compressive sensing when applied on signals obtained in real life.&#13;
For this purpose; two types of signals are used with two different reconstruction algorithms. The obtained results&#13;
are discussed and some conclusion remarks are presented.</note>
 <subject authority="">
  <topic>BRIDGES</topic>
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 <classification>624.21(063)</classification>
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  <physicalLocation>Perpustakaan Direktorat Bina Teknik Jalan dan Jembatan Direktorat Jenderal Bina Marga - Kementerian Pekerjaan Umum (NPP: 3273244A00000001)</physicalLocation>
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