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We present ConfErr, a tool for testing and quantifying the resilience of software systems to human-induced configuration errors. ConfErr uses human error models rooted in psychology and linguistics to generate realistic configuration mistakes; it then inje ...
One of the key issues for a successful roll out of digital cinema is in the quality it offers. The most practical and least expensive way of measuring quality of multimedia content is through the use of objective metrics. In addition to the widely used obj ...
Modern software is reaching levels of complexity encountered in biological systems; sometimes comprising systems of systems each of which may include tens of millions of lines of code. Model Driven Engineering (MDE) advocates raising the level of abstracti ...
The task of comparing the performance of different codecs is strictly related to the research in the field of objective quality metrics. Even if several objective quality metrics have been proposed in literature, the lack of standardization in the field of ...
We compare the reliability performance gain of Random Linear Network Coding (RLNC) with Automatic Repeat Request (ARQ) for a wireless relay network taking into account overhead and complexity of feedback mechanism as well as overhead due to encoding vector ...
We address the problem of rate allocation and network/path selection for multiple users, running simultaneous applications over multiple parallel access networks. Our joint optimization problem consists of finding the appropriate application rate allocatio ...
We investigate the performance of three bio-inspired odor source localization algorithms used in non-cooperating multi-robot systems. Our performance metric is the distance overhead of the first robot to reach the source, which is a good measure for the sp ...
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A computer implemented method measures a performance of surveillance system. A site model, a sensor model and a traffic model are selected respectively from a set of site models, a set of sensor models, and a set of traffic models to form a surveillance mo ...
Detection is usually done by comparing some criterion to a threshold. It is often desirable to keep a performance metric such as False Alarm Rate constant across conditions. Using training data to select the threshold may lead to suboptimal results on test ...
Segmentation of moving objects in image sequences plays an important role in video processing and analysis. Evaluating the quality of segmentation results is necessary to allow the appropriate selection of segmentation algorithms and to tune their paramete ...