Showing 2 results for S. Samavi
P. Khadivi, S. Samavi, H. Saidi, T. D. Todd,
Volume 1, Issue 3 (July 2005)
Abstract
Multi-constraint quality-of-service routing will become increasingly important as
the Internet evolves to support real-time services. It is well known however, that optimum
multi-constraint QoS routing is computationally complex, and for this reason various
heuristics have been proposed for routing in practical situations. Among these methods,
those that use a single mixed metric are the most popular. Although mixed metric routing
discards potentially useful information, this is compensated for by significantly reduced
complexity. Exploiting this tradeoff is becoming increasingly important where low
complexity designs are desired, such as in battery operated wireless applications. In this
paper, a novel single mixed metric multi-constraint routing algorithm is introduced. The
proposed technique has similar complexity compared with existing low complexity
methods. Simulation results are presented which show that it can obtain better performance
than comparable techniques in terms of generating feasible multi-constraint QoS routes.
A. Banaei, S. Samavi, E. Nasr Esfahani,
Volume 1, Issue 4 (October 2005)
Abstract
Microarray technology is a new and powerful tool for concurrent monitoring of
large number of genes expressions. Each microarray experiment produces hundreds of
images. Each digital image requires a large storage space. Hence, real-time processing of
these images and transmission of them necessitates efficient and custom-made lossless
compression schemes. In this paper, we offer a new architecture for lossless compression of
microarray images. In this architecture, we have used a dedicated hardware for separation
of foreground pixels from the background ones. By separating these pixels and using
pipeline architecture, a higher lossless compression ratio has been achieved as compared to
other existing methods
