一种基于编码的低硬件开销的测试数据压缩方法

提出了一种新的测试数据压缩/解压缩的算法,称为混合游程编码,它充分考虑了测试数据的压缩率、相应硬件解码电路的开销以及总的测试时间.该算法是基于变长-变长的编码方式,即把不同游程长度的字串映射成不同长度的代码字,可以得到一个很好的压缩率.同时为了进一步提高压缩率,还提出了一种不确定位填充方法和测试向量的排序算法,在编码压缩前对测试数据进行相应的预处理.另外,混合游程编码的研究过程中充分考虑到了硬件解码电路的设计,可以使硬件开销尽可能小,并减少总的测试时间.最后,ISCAS 89 benchmark电路的实验结果证明了所提算法的有效性.     

基于OPNET的ATM传输服务类型CBR和UBR建模分析

在异步传输模式(Asynchronous Transfer Mode,ATM)中,每一类传输服务类型都有不同的特性和不同的使用场合。针对这种情况,提出了基于恒定比特率(CBR)传输服务类型的ATM网络和基于未指定比特率(UBR)传输服务类型的ATM网络,介绍了OPNET仿真软件的主要特性、建模机制及仿真步骤。采用OPNET网络仿真软件设计实验,根据2种不同传输服务类型的特点建立不同的场景并进行仿真对比,对比在不同场景中语音信号端到端延时以及端到端延时的方差的变化,实验结果证明了基于CBR传输服务类型的ATM网络比基于UBR传输服务类型的ATM网络更适合语音信号的传输。     

An Efficient Test Data Compression Technique Based on Codes

提出了一种新的测试数据压缩/解压缩的算法,称为混合游程编码,它充分考虑了测试数据的压缩率、相应硬件解码电路的开销以及总的测试时间.该算法是基于变长-变长的编码方式,即把不同游程长度的字串映射成不同长度的代码字,可以得到一个很好的压缩率.同时为了进一步提高压缩率,还提出了一种不确定位填充方法和测试向量的排序算法,在编码压缩前对测试数据进行相应的预处理.另外,混合游程编码的研究过程中充分考虑到了硬件解码电路的设计,可以使硬件开销尽可能小,并减少总的测试时间.最后,ISCAS 89 benchmark电路的实验结果证明了所提算法的有效性.     

对ASTM1016／A 1016M-2011a标准的三个疑问及探讨——中外不锈钢管标准细节比较研究之四

对ASTM1016／A1016M--2011a标准所涉奥氏体不锈钢高频感应焊管方法、不锈钢管化学成分所含非规定合金元素及铜管扩口试验要求指标条款提出了疑问,并结合相关背景材料或欧洲标;住进行了分析讨论。指出奥氏体不锈钢高频焊接至今仍是不成熟的生产技术,和值得关注的有关不锈钢化学成分中所含非规定元素的一些新认识,包括Cr-Mo铜管在内的扩口试验合理指标．     

外周T细胞淋巴瘤-非特指型2例并文献复习

目的报告2例外周T细胞淋巴瘤-非特指型（peripheral T lymphocytes unspecified,PTCL-U）患者的临床、实验室指标及诊治和预后,以提高对该类疾病的认识。方法对2例PTCL-U患者的病例资料进行分析,并结合国内外相关文献进行复习。结果 PTCL-U临床特点为发热、淋巴结肿大,易侵犯肝、脾、骨髓、皮肤等结外部位和并发噬血细胞综合征。病情进展快,对化疗不敏感,2例均死亡。结论 PTCL-U恶性程度高,进展快,侵袭性强,预后极差,需提高对该病的识别,以期早期诊断和积极治疗。     

Sequential procedures for monltoring the parameters of the autoregressive model relative to unspecified targets

Sequential procedures are developed for monitoring the parameters of a time dependent autoregressive model relative to unspecified targets. Such a problem arises when we need to monitor the parameters for changes from their unknown initial values (the unspecified targets), instead of from specified targets. For this purpose, scores type statistics are proposed which: (1) reflect changes in the parameters from their initial values without requiring any input about these values; and (2) are aimed at detecting arbitrary shifts in the parameters, instead of at restrictive "one point" shift alternatives. The procedures developed are capable of monitoring any one of, or any combination of, the mean, variance or correlation structure of an autoregressive sequence of known finite order. Their false signal rates are controlled, and their performance under local shift     

The Hazards of Underspecified Models: The Case of Symmetry in Everyday Predictions.

[Correction Notice: An erratum for this article was reported in Vol 115(1) of Psychological Review (see record 2008-00265-009). On p. 772 (Real Data section), some numbers were listed incorrectly. The correct numbers are as follows: For soccer world championships (1930-1978), number of games in which a given team both won and led at halftime = 151, number of games in which a team won the game = 243, number of games in which a team led at halftime = 196, P(WinMid|WinEnd) = .62, and P(WinEnd|WinMid) = .77. For the German Bundesliga (1994-1995), number of games in which a given team both won and led at halftime = 132, number of games in which a team won the game = 223, number of games in which a team led at halftime = 174, P(WinMid|WinEnd) = .59, and P(WinEnd|WinMid) = .76. The conditional probabilities are referred to again on p. 778. There, it should read "These quotients correspond to P(WinMid|WinEnd)/P(WinEnd|WinMid), the empirical values of which were found to be .81 and .78 (.62/.77 and .59/.76, see above)."] Should one be more confident when predicting the whole (or an event based on a larger sample) from the part (or an event based on a smaller sample) than when predicting the reverse? The relevant literature on judgment under uncertainty argues that such predictions are symmetrical but that, as an empirical matter, people often fail to appreciate this symmetry. The authors show that symmetry in prediction does not necessarily hold. In addition to an empirical study involving predictions about soccer games, they develop a theoretical model showing that, at least for the ranges of numerical values usually found in everyday judgment problems, symmetry in predictions is uncommon when 2 different sample sizes are involved. The complexity of the theoretical model used in this analysis raises questions about model specification in judgmental research. (PsycINFO Database Record (c) 2010 APA, all rights reserved)