Reinforcement Learning (RL) is analyzed here as a tool for control system optimization. State and action spaces are assumed to be continuous. Time is assumed to be discrete, yet th...
Fine-Grained Cycle Sharing (FGCS) systems aim at utilizing the large amount of computational resources available on the Internet. In FGCS, host computers allow guest jobs to utili...
Xiaojuan Ren, Seyong Lee, Rudolf Eigenmann, Saurab...
We propose a novel heterogeneous scalable desktop grid system, WaveGrid, which uses a peer-to-peer architecture and can satisfy the needs of applications with fastturnaround requi...
Computer visualization and networking have advanced dramatically over the last few years, partially driven by the exploding video game market. 3D hardware acceleration has reached...
A sound eld reproduction method which uses blind source separation and head-related transfer function is proposed. In the proposed system, multichannel acoustic signals captured a...