Clustering is an important characteristic of most sensor applications. In this paper we define COSMOS, the Cluster-based, heterOgeneouS MOdel for Sensor networks. The model assum...
The emerging mobile wireless environment poses exciting challenges for distributed fault tolerant (FT) computing. This paper proposes a message loggingand recovery protocol on the...
Designing ASICs for each new generation of backbone routers is a time intensive and fiscally draining process. In this paper we focus on the design of a programmable architecture...
We describe a system for the training of Second Language Acquisition Pronunciation (SLAP) for nonnative speakers. This speech recognition-based system is designed to mimic the val...
Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...