Data Driven Time Synchronization (DDTS) provides synchronization across sensors by using underlying characteristics of data collected by an embedded sensing system. We apply the c...
Martin Lukac, Paul Davis, Robert Clayton, Deborah ...
Clustering time series is a problem that has applications in a wide variety of fields, and has recently attracted a large amount of research. In this paper we focus on clustering...
Preliminary work by the authors made use of the so-called "Manhattan world" assumption about the scene statistics of city and indoor scenes. This assumption stated that ...
Parallel IO (PIO) support for larger scale computing is becoming more important as application developers better understand its importance in reducing overall execution time by avo...
Graham E. Fagg, Edgar Gabriel, Michael M. Resch, J...
Traditionally, analysis of flow fields resulting from computational fluid dynamics (CFD) calculations is a sequential process. The flow area defined by surrounding geometry is tes...