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SUMMARY This paper presents two experimental comparisons of data ow a n d m utation testing. These two techniques are widely considered to be eeective for unit-level software testing, but can only be analytically compared to a limited extent. We compare the techniques by e v aluating the eeectiveness of test data developed for each. For a number of(More)
Audio categorization is essential when managing a music database, either a professional library or a personal collection. However, a complete automation in categorizing music into proper classes for browsing and searching is not yet supported by today's technology. Also, the issue of music classification is subjective to some extent as each user may have(More)
The intention of this paper is to propose the optimal four-sample and two-time iteration algorithm for SINS attitude updating which is based on the criteria of the minimum of the cone error. The comparison among three-sample and four-sample rotation vector algorithm drifts of single loop and three-sample and four-sample algorithm drifts of double loop was(More)
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