We analyze various stochastic processes for generating permutations almost uniformly at random in distributed and parallel systems. All our protocols are simple, elegant and are b...
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Abstract This paper contributes to the design of intelligent buildings. A MultiAgents Home Automation System (MAHAS) is proposed which controls appliances and energy sources in bui...
FPGA application developers often attempt to use pipelining, Cslowing and retiming to improve the performance of their designs. Unfortunately, such registered netlists present a f...
This paper tackles the problem of dynamic power management (DPM) in nanoscale CMOS design technologies that are typically affected by increasing levels of process, voltage, and te...