The ontological representation of learning objects is a way to deal with the interoperability and reusability of learning objects (including metadata) through providing a semantic...
In this paper, we present a novel method to adapt the temporal radio maps for indoor location determination by offsetting the variational environmental factors using data mining t...
SimPoint is a technique used to pick what parts of the program’s execution to simulate in order to have a complete picture of execution. SimPoint uses data clustering algorithms...
In this paper, we present how appearance-based features can be used for the recognition of words in American sign language (ASL) from a video stream. The features are extracted wit...
Time-driven Key Sequencing (TKS) is a key management technique that synchronizes the session key used by a set of communicating principals based on time of day. This relatively lo...
Geoffrey G. Xie, Cynthia E. Irvine, Timothy E. Lev...