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This paper presents the impact of multiple-detect test patterns on outgoing product quality. It introduces an ATPG tool that generates multiple-detect test patterns while maximizing the coverage of node-to-node bridging defects. Volume data obtained by testing a production ASIC with these new multiple-detect patterns shows increased defect screening(More)
Maintaining product quality at reasonable test cost in very deep sub-micron process has become a major challenge especially due to multiple manufacturing locations with varying defect and parametric distributions. Increasing vector counts and binary search routines are now necessary for subtle defect screening. In addition, parametric tests and at-spec(More)
The subject of this paper is variance reduction and Nearest Neighbor Residual estimates for I DDQ and other continuous-valued test measurements. The key, new concept introduced is data-driven neighborhood identification about a die to reduce the variance of good and faulty I DDQ distributions. Using LSI Logic production data, neighborhood selection(More)
OBJECTIVE To evaluate the cytologic features of each subtype of renal cell carcinoma (RCC) for separating the various subtypes. STUDY DESIGN Thirty-eight renal fine needle aspiration (FNA) specimens with surgical resection follow-up were retrospectively reviewed and classified without knowledge of the resection specimen diagnosis. These included 18 clear(More)
In sub-micron processes, resistive path defects are increasingly contributing to the yield loss and the customer fail pareto. Data has been collected on a series of ASIC products and compares the effectiveness of full vector set transition delay fault tests with reduced vector sets, minVDD, customer functional tests and customers system fails. Results show(More)
In sub-micron CMOS processes, it has become increasingly difficult to identify and separate outliers from the intrinsic distribution at test. This is due to the increasing inadequacy of reliability screens such as burn-in and IDDQ testing. Statistical Post-Processing (SPP) methods have been developed to run off-tester using the raw data generated from(More)
Recent studies based on multivariate analysis have identified cytologic features that may be of value in the diagnosis of malignancy in bile duct brushings. We sought to assess the reproducibility and accuracy of these criteria. Three different observers used 4 sets of criteria that included 9 cytologic features to review 165 bile duct brushing specimens(More)