BEGIN:VCALENDAR
VERSION:2.0
METHOD:PUBLISH
X-WR-CALNAME:Georgia State University - Department of Computer Science |  January 31 2012- March 01 2012
PRODID:-//strange bird labs//Drupal iCal API//EN
BEGIN:VEVENT
DTSTAMP;VALUE=DATE-TIME:20130523T180452Z
DTSTART;VALUE=DATE-TIME:20120131T190000Z
DTEND;VALUE=DATE-TIME:20120131T210000Z
UID:http://cs.gsu.edu/?q=node/553
URL;VALUE=URI:http://cs.gsu.edu/?q=node/553
SUMMARY:Collaborative Data Collection and Storage in Disruptive Sensor Networks
DESCRIPTION:<p>Wireless sensor networks have found critical applications in catastrophic or emergency scenarios\, such as floods\, fires\, volcanos\, and battlefields\, where human participation is too dangerous or too expensive. However\, in those environments\, sensor nodes can become disruptive and communication links unstable due to the challenging environment and energy outages. Thus\, preserving data in a disruptive sensor network is a challenging research problem. This work proposes collaborative data collection and storage algorithms based on network coding to address this challenge.
END:VEVENT
BEGIN:VEVENT
DTSTAMP;VALUE=DATE-TIME:20130523T180452Z
DTSTART;VALUE=DATE-TIME:20120220T173000Z
DTEND;VALUE=DATE-TIME:20120220T183000Z
UID:http://cs.gsu.edu/?q=node/564
URL;VALUE=URI:http://cs.gsu.edu/?q=node/564
SUMMARY:Metabolomics and Its Application in Biomarker Discovery and Systems Biology Research
DESCRIPTION:<p>Metabolomics is the comprehensive analysis of small molecule metabolites produced by normal or abnormal cellular processes. It is fast gaining ground as a powerful tool for biomarker discovery and as an important component of systems biology research\, complementing genomics\, transcriptomics\, and proteomics. Recent advances in LC-MS based metabolomics have created the potential to measure the levels of numerous metabolites in various media ranging from cell cultures to human biological fluids such as urine\, saliva\, and blood.
END:VEVENT
BEGIN:VEVENT
DTSTAMP;VALUE=DATE-TIME:20130523T180452Z
DTSTART;VALUE=DATE-TIME:20120221T173000Z
DTEND;VALUE=DATE-TIME:20120221T190000Z
UID:http://cs.gsu.edu/?q=node/545
URL;VALUE=URI:http://cs.gsu.edu/?q=node/545
SUMMARY:Scheduling and Mapping of Communicating Multi-processor Tasks
DESCRIPTION:<p>Task-based approaches are popular for the development of parallel programs for several reasons. They provide a decoupling of the parallel specification from the scheduling and mapping to the execution resources of a specific hardware platform\, thus allowing a flexible and individual mapping. For platforms with a distributed address space\, the use of parallel tasks instead of sequential tasks adds the advantage of structuring the program into communication domains that can help to reduce the overall communication overhead.
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