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Localizing test power Consumption for Scan testing

Journal of Donghua University(English Edition) 2005年第3期22卷 37-43页

作者：向东 LI Kai-wei School of Software Tsinghua University Beijing 100084 China

A two stage scan architecture is proposed to do low power and low test application cost scan testing. The first stage includes multiple scan chains, where each scan chain is driven by a primary input. Each scan flip-flop in the multiple scan chains drives a group of scan flip-flops. The scan flip-flop in the multiple scan chain and the scan flip-flop driven by it are assigned the same values for all test vectors. Scan flip-flops in the multiple scan chains and those in the second stage use separate clock signals, but the design for testability technqiue needs only one clock. The proposed scan architecture localizes test power consumption to the multiple scan chains during test application. test signals assigned to scan flip-fiops in the multiple scan chains are applied to the scan flip-flops in the second stage after the test vector has been applied to the multiple scan chains. This technique can make test power consumption very small.

关键词： clock disabling clock tree test power scan forest scan testing test power

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维普期刊数据库

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Reducing test-data volume and test-power simultaneously in LFSR reseeding-based compression environment

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Journal of Semiconductors 2011年第7期32卷 115-121页

作者：王伟征邝继顺尤志强刘鹏 College of Information Science & Engineering Hunan University

This paper presents a new test scheme based on scan block encoding in a linear feedback shift register （LFSR） reseeding-based compression ***,our paper also introduces a novel algorithm of scan-block *** main contribution of this paper is a flexible test-application framework that achieves significant reductions in switching activity during scan shift and the number of specified bits that need to be generated via LFSR ***,it can significantly reduce the test power and test data *** results using Mintest test set on the larger ISCAS＇89 benchmarks show that the proposed method reduces the switching activity significantly by 72%-94%and provides a best possible test compression of 74%-94%with little hardware overhead.

关键词： built-in self-test LFSR reseeding test power test compression scan block

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维普期刊数据库

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Dimension Reduction for Detecting a Difference in Two High-Dimensional Mean Vectors

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Open Journal of Statistics 2021年第1期11卷 243-257页

作者： Whitney V. Worley Dean M. Young Phil D. Young Department of Mathematics University of Central Arkansas Conway AR USA Department of Statistical Science Baylor University Waco TX USA Department of Information Systems and Business Analytics Baylor University Waco TX USA

We consider the efficacy of a proposed linear-dimension-reduction method to potentially increase the powers of five hypothesis tests for the difference of two high-dimensional multivariate-normal population-mean vectors with the assumption of homoscedastic covariance matrices. We use Monte Carlo simulations to contrast the empirical powers of the five high-dimensional tests by using both the original data and dimension-reduced data. From the Monte Carlo simulations, we conclude that a test by Thulin [1], when performed with post-dimension-reduced data, yielded the best omnibus power for detecting a difference between two high-dimensional population-mean vectors. We also illustrate the utility of our dimension-reduction method real data consisting of genetic sequences of two groups of patients with Crohn’s disease and ulcerative colitis.

关键词： Homoscedastic Covariance Matrices test power Monte Carlo Simulation Moore-Penrose Inverse Singular Value Decomposition

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A Simulation Based Comparison of Correlation Coefficients with Regard to Type I Error Rate and power

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Journal of Data Analysis and Information Processing 2015年第3期3卷 87-101页

作者： Elif Tugran Mehmet Kocak Hamit Mirtagioglu Soner Yigit Mehmet Mendes Canakkale Onsekiz Mart University CanakkaleTurkey University of Tennessee Health Science Center MemphisUSA Yuzuncuyil University VanTurkey

In this simulation study, five correlation coefficients, namely, Pearson, Spearman, Kendal Tau, Permutation-based, and Winsorized were compared in terms of Type I error rate and power under different scenarios where the underlying distributions of the variables of interest, sample sizes and correlation patterns were varied. Simulation results showed that the Type I error rate and power of Pearson correlation coefficient were negatively affected by the distribution shapes especially for small sample sizes, which was much more pronounced for Spearman Rank and Kendal Tau correlation coefficients especially when sample sizes were small. In general, Permutation-based and Winsorized correlation coefficients are more robust to distribution shapes and correlation patterns, regardless of sample size. In conclusion, when assumptions of Pearson correlation coefficient are not satisfied, Permutation-based and Winsorized correlation coefficients seem to be better alternatives.

关键词： Correlation Coefficient Robustness Type I Error Rate test power Non-Normality Simulation

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经济试验的协变量平衡自适应设计

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统计与精算 2024年第1期

作者：陈芳露李扬秦祎辰杨昊宇

在经济学领域的随机对照试验中，受试者的分配通常按照完全随机的方式进行。然而，完全随机化可能无法使基线协变量在试验组和对照组间的分布均衡可比，导致试验的解释性与准确性降低，甚至会得出错误的分析结果。本文在经济学随机对照... 详细信息

在经济学领域的随机对照试验中，受试者的分配通常按照完全随机的方式进行。然而，完全随机化可能无法使基线协变量在试验组和对照组间的分布均衡可比，导致试验的解释性与准确性降低，甚至会得出错误的分析结果。本文在经济学随机对照试验中引入协变量平衡自适应设计，该设计在分配过程中自适应地对协变量的平衡性进行调整，从而能够获得协变量在组间分布相对均衡的分配方案。本文基于一项探究个性化信息是否能够影响养老金个人账户储蓄的随机对照试验案例，分析比较了不同随机化设计对于在随机化试验中的协变量平衡以及处理效应估计等方面的影响。实证分析表明，相比于完全随机化，考虑协变量平衡调整的随机化设计能够降低组间的协变量的不平衡程度，并提高后续对于平均处理效应的估计精度和检验功效。

关键词：随机对照试验自适应随机化马氏距离因果推断检验功效 randomized controlled trial adaptive randomization Mahalanobis distance causal inference test power

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