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Adequate coverage of small-delay defects in circuits affected by statistical process variations requires identification and sensitization of multiple paths through potential defect sites. Existing K longest path generation (KLPG) algorithms use a data structure called path store to prune the search space by restricting the number of sub-paths considered at the same time. While this restriction speeds...
For highly reliable products, the last stages of reliability growth tests usually have small sample size, which hampers the corresponding reliability evaluation. A generalized linear model (GLM) is established by the historical multistage samples, and then by Bayes-Monte Carlo method, the estimation of the hyper parameter is obtained to serve as the start point of the growth trend forecasting. In...
Many features have been proposed to evaluate examineespsila language proficiency. However, few of them are semantic based. In this paper, a novel feature for semantic scoring is presented. It is designed for a typical question type in language tests, namely reading-answering-problem. The proposed feature extraction process involves several operations: transcribing the speech data, automatically tagging...
This paper presents an effective method for automatic pronunciation evaluation, which is based on feature extraction and combination. The proposed system extracts different kinds of evaluation features and combines them to produce an ultimate machine score, which predicts the overall pronunciation quality of a student. Experiments on a reading speech database show that most of the selected features...
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