This work intends to deal with the optimal kinematic synthesis problem of parallel manipulators under a unified framework. Observing that regular (e.g., hyper-rectangular) workspac...
Most encryption algorithms are designed without regard to their performance on top-of-the-line microprocessors. This paper discusses general optimization principles algorithms desi...
One of the most challenging problems in high-level synthesis is how to quickly explore a wide range of design options to achieve high-quality designs. This paper presents an Integ...
Qingfeng Zhuge, Zili Shao, Bin Xiao, Edwin Hsing-M...
Reinforcement learning is one of the main adaptive mechanisms that is both well documented in animal behaviour and giving rise to computational studies in animats and robots. In th...
In this paper, we design and evaluate alternative selection placement strategies for optimizing a very large number of continuous queries in an Internet environment. Two grouping ...
Jianjun Chen, David J. DeWitt, Jeffrey F. Naughton