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AN AUTOMATIC TEST PATTERN GENERATOR FOR PARALLEL AND DISTRIBUTED SYSTEMS
Radtke,Stefan,Krebs,Wolfgang,Anheier,Walter 대한전자공학회 1995 ICVC : International Conference on VLSI and CAD Vol.4 No.1
The generation of test patterns for digital circuits is known as a NP hard problem (2) The most time consuming factor in generating test patterns for digital circuits is the backtracking mechanism. Due to this mechanism it is difficult to speed up the process. In this paper we present a parallel formulation of the FAN algorithm (3) implemented on a cluster of workstations. Two different methods are used to take into account easy- and hard-to-detect faults. We'tl show the strategies for our parallel implementations as well as implementaion details. We will show that we can accelerate the generation process witk an increasing number of workstations used For some cases we achieve linear speedup as we will show in Section 4. The reader should be familiar with notations of the FAN algorithm.
War, Guilt, and World Politics after World War II
Radtke, Kurt W. 성균관대학교 동아시아학술원 2013 Sungkyun Journal of East Asian Studies Vol.13 No.2
War, Guilt, and World Politics after World War II
The China Problem in Postwar Japan: Japanese National Identity and Sino-Japanese Relations.
Radtke, KW 성균관대학교 동아시아학술원 2015 Sungkyun Journal of East Asian Studies Vol.15 No.2
The China Problem in Postwar Japan: Japanese National Identity and Sino-Japanese Relations.
Albert Annemarie,Radtke Sebastian,Blume Louisa,Bellomo Rinaldo,Haase Michael,Stieger Philipp,Hinkel Ulrich Paul,Braun-Dullaeus Rüdiger C.,Albert Christian 대한진단검사의학회 2023 Annals of Laboratory Medicine Vol.43 No.6
Background: We explored the extent to which neutrophil gelatinase-associated lipocalin (NGAL) cutoff value selection and the acute kidney injury (AKI) classification system determine clinical AKI-phenotype allocation and associated outcomes. Methods: Cutoff values from ROC curves of data from two independent prospective cardiac surgery study cohorts (Magdeburg and Berlin, Germany) were used to predict Kidney Disease: Improving Global Outcome (KDIGO)- or Risk, Injury, Failure, Loss of kidney function, End-stage (RIFLE)-defined AKI. Statistical methodologies (maximum Youden index, lowest distance to [0, 1] in ROC space, sensitivity≈specificity) and cutoff values from two NGAL meta-analyses were evaluated. Associated risks of adverse outcomes (acute dialysis initiation and in-hospital mortality) were compared. Results: NGAL cutoff concentrations calculated from ROC curves to predict AKI varied according to the statistical methodology and AKI classification system (10.6–159.1 and 16.85–149.3 ng/mL in the Magdeburg and Berlin cohorts, respectively). Proportions of attributed subclinical AKI ranged 2%–33.0% and 10.1%–33.1% in the Magdeburg and Berlin cohorts, respectively. The difference in calculated risk for adverse outcomes (fraction of odds ratios for AKI-phenotype group differences) varied considerably when changing the cutoff concentration within the RIFLE or KDIGO classification (up to 18.33- and 16.11-times risk difference, respectively) and was even greater when comparing cutoff methodologies between RIFLE and KDIGO classifications (up to 25.7-times risk difference). Conclusions: NGAL positivity adds prognostic information regardless of RIFLE or KDIGO classification or cutoff selection methodology. The risk of adverse events depends on the methodology of cutoff selection and AKI classification system.