http://asm2009.lternet.edu/taxonomy/term/68/0 en http://asm2009.lternet.edu/2009/posters/dynamic-rule-based-quality-control-framework-real-time-sensor-data <div class="field field-type-computed field-field-poster-number"> <div class="field-items"> <div class="field-item odd"> <div class="field-label-inline-first"> Poster Number:&nbsp;</div> 15 </div> </div> </div> <div class="field field-type-userreference field-field-poster-presenter"> <div class="field-items"> <div class="field-item odd"> <div class="field-label-inline-first"> Presenter/Primary Author:&nbsp;</div> <a href="http://asm2009.lternet.edu/users/wade-sheldon" title="View user profile.">Wade Sheldon</a> </div> </div> </div> <p>Quality control is a critical component of environmental data management, particularly for data collected by autonomous sensors. Performing quality analysis on high volume, real-time data from sensor networks, flux towers and instrumented platforms is a major challenge, though, and can become a limiting factor in managing these data. Software developed at the Georgia Coastal Ecosystems LTER Site (GCE Data Toolbox for MATLAB) has proven very effective for quality control of both real-time and legacy data, as well as interactive analysis during post processing and synthesis.</p> <p><a href="http://asm2009.lternet.edu/2009/posters/dynamic-rule-based-quality-control-framework-real-time-sensor-data" target="_blank">read more</a></p> Computer Science Informatics Information Management Information Technology Statistics Site Science GCE Thu, 28 May 2009 16:39:47 +0000 Wade Sheldon 43 at http://asm2009.lternet.edu