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The equivalent radiating current technique (EQC) is based on an integral equation formulation of the inverse source problem upon rigorous application of the equivalence principle [1]-[8]. From the measured near or far field data it allows the accurate determination of the equivalent radiating sources on an arbitrary 3-D closed surface enclosing the Antenna Under Test (AUT). The main advantage of the...
Recommender systems have become essential navigational tools for users to surf through vast on-line catalogs. However, recommender algorithms are often tuned to improve accuracy, without paying any attention to the consistency of the recommendations when small changes happen to the user profile or to the model. Consistency of recommendations is closely related with user satisfaction and trust. In...
Recommender systems are used to suggest customized products to users. Most recommender algorithms create collaborative models by taking advantage of Web user profiles. In the last years, in the area of recommender systems, the Netflix contest has been very attractive for the researchers. However, many recent papers on recommender systems present results evaluated with the methodology used in the Netflix...
Recommender systems use statistical and knowledge discovery techniques in order to recommend products to users and to mitigate the problem of information overload. The evaluation of the quality of recommender systems has become an important issue for choosing the best learning algorithms. In this paper we propose an evaluation methodology for collaborative filtering (CF) algorithms. This methodology...
Traditional approaches for capacity planning are based on queueing network models. However, modeling with queueing networks requires the knowledge of the service demands of each class of workloads at each device described in the model. In real systems, such service demands can be very difficult to measure. In this paper, we present an optimization-based technique to address the problem. The technique...
The performance benefit when using Grid systems comes from different strategies, among which partitioning the applications into parallel tasks is the most important. However, in most cases the enhancement coming from partitioning is smoothed by the effect of the synchronization overhead, mainly due to the high variability of completion times of the different tasks, which, in turn, is due to the large...
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