In this paper, we present a general framework for evaluating the performance characteristics of block cipher structures composed of S-boxes and Maximum Distance Separable (MDS) ma...
Random peer selection is used by numerous P2P applications; examples include application-level multicast, unstructured file sharing, and network location mapping. In most of thes...
Considering disaster sensitivity especially in developing large-scale, multiple-use parking structures, we propose dual-surveillance based SCADA (supervisory control and data acqui...
In recent years there has been a flurry of works on learning probabilistic belief networks. Current state of the art methods have been shown to be successful for two learning scen...
Visual data mining has been established to effectively analyze large, complex numerical data sets. Especially, the extraction and visualization of inherent structures such as hie...