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With the widespread adoption of location tracking technologies like GPS, the domain of intelligent transportation services has seen growing interest in the last few years. Services in this domain make use of real-time location-based data from a variety of sources, combine this data with static location-based data such as maps and points of interest(More)
We consider a cluster of heterogeneous servers, modeled as M/G/1 queues with different processing speeds. The scheduling policies for these servers can be either processor-sharing or first-come first-serve. Furthermore, a dispatcher that assigns jobs to the servers takes as input only the size of the arriving job and the overall job-size distribution. This(More)
A new single-shot echo-planar imaging (EPI) sequence with interleaved z-shim and optimized compensation for susceptibility-induced signal loss is proposed in this paper. Experiments on human brain demonstrated that the new method is able to regain signal dropout in brain areas with severe susceptibility-induced local gradients, while its image acquisition(More)
In this paper, we propose a novel way of modeling Web services using folksonomies. The key advantage of our model is that it allows a large number of users to participate, easily, in annotating services with tags. This is in contrast to more expressive, logic based models of services, such as semantic Web service models, which require significant expertise(More)
A bead-based microfluidic device was developed and demonstrated to achieve rapid and sensitive enzyme-linked immunosorbent assay (ELISA) with quantum dots as the labeling fluorophore for virus detection. In comparison to standard ELISA performed on the same virus, the minimal detectable concentration of the target virus was improved from 360 to 22 ng mL-1,(More)
With the widespread adoption of location tracking technologies like GPS, the domain of transportation information management has seen growing interest in the last few years. In this paper, we describe a stream processing infrastructure for processing large volumes of sensor data in real time to derive useful traffic and travel planning information. We have(More)
It is a commonly held belief that IPv6 provides greater security against random-scanning worms by virtue of a very sparse address space. We show that an intelligent worm can exploit the directory and naming services necessary for the functioning of any network, and we model the behavior of such a worm in this paper. We explore via analysis and simulation(More)