Network traffic measurements can provide essential data for network research and operation. While Internet traffic has been heavily studied for several years, there are new charact...
System software for deeply embedded devices has to cope with a broad variety of requirements and platforms, but especially with strict resource constraints. To compete against prop...
As a new pattern classification method, nearest feature line (NFL) provides an effective way to tackle the sort of pattern recognition problems where only limited data are availab...
—New challenges on vector field visualization emerge as time-dependent numerical simulations become ubiquitous in the field of computational fluid dynamics (CFD). To visualize da...
Interpolating diffusion tensor fields is a key technique to visualize the continuous behaviors of biological tissues such as nerves and muscle fibers. However, this has been stil...