关于离婚损害赔偿制度的若干思考

离婚损害赔偿制度是我国《婚姻法》中新增加的制度。如何适用和完善这一制度为理论界所关注。文章试图从立法反思、立法定位、立法完善诸环节就离婚损害赔偿制度作一深入探讨 ,以有益于该制度的完善与操作。     

小波分析法在变速机械故障诊断中的应用

首先利用小波分析将非平稳随机信号进行分解，然后再由Ｆｏｕｒｉｅｒ变换对分解后的信号进行频谱分析，最终根据各频谱特征，实现对变速机械的故障诊断．以某冷轧厂新增３５００ｔ／ｈ大型冷却塔用变速及冷却系统的故障诊断为例，验证了本文提出的用小波分析对变速系统进行故障诊断的有效性     

基于FPGA的高速图像预处理系统设计

介绍了一种用单片FPGA实现的实时、多任务、高速图像处理系统。该系统承担着提高信噪比、压缩数据量、Stokes参数观测和仪器及观测模式控制等任务。针对一个星载系统,采用了核心逻辑片内冗余、设计了相应的冗余管理线路等可靠性设计技术,采用了放置片内测试和校验模块等可测性设计技术,使系统工作时钟达40 MHz,图像处理速率达100 Mbps。     

论虚假广告侵权归责原则的局限性

实践中,虚假广告侵权一直被视为一般侵权行为,其归责原则适用传统的过错责任原则。实际上,虚假广告侵权在许多方面都有自己的特殊性,这使过错责任原则适用于虚假广告侵权显现出很大的局限性,已经不能很好地发挥法律责任的教育、预防及制裁功能。这种局限性也为虚假广告侵权适用一种更为严格的归责原则创造了条件。     

采用CCSK承载非同步随机接入信息的方法

未来的移动通信系统要求提供的数据传输速率将高达100Mb/s以上,支持的业务也将从语音业务扩展到多媒体业务(包括实时的流媒体业务)。该文提出采用m序列的不同循环移位来构建CCSK序列,并在前导CAZAC序列上叠加CCSK序列,以用于隐含承载接入信息。为了减少两个序列之间的相互影响,调整两种序列之间的能量比例以及采用干扰消除,将显著提高两种序列的检测性能。     

A Note on the Poisson Likelihood Ratio Test Statistic for Kulldorff's Scan Methods

Methods based on scan statistics are widely used in health-related applications to detect clusters of disease. The most common methods are based on the Bernoulli and Poisson models. Kulldorff (1997 Kulldorff , M. ( 1997 ). A spatial scan statistic . Communications in Statistics—Theory and Methods 26 : 1481 – 1496 .[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]) derived the likelihood ratio test statistic for his scan method for both of these models. His scan statistic is widely used with freely available software, SaTScan^? (see Kulldorff, 2005 Kulldorff , M. ( 2005 ). SaTScan: software for the spatial, temporal, and space-time scan statistics , version 5.1 [computer program]. Information Management Services 2005; Available: http://www.satscan.org/. Accessed July 2007 . [Google Scholar]). We provide an alternative derivation of the likelihood ratio test statistic in the Poisson case. Our derivation is simpler and more general in the sense that it applies when the incidences are not aggregated into subregional counts.     

A Method for Measuring Distance From a Training Data Set

A new method is proposed for measuring the distance between a training data set and a single, new observation. The novel distance measure reflects the expected squared prediction error when a quantitative response variable is predicted on the basis of the training data set using the distance weighted k-nearest-neighbor method. The simulation presented here shows that the distance measure correlates well with the true expected squared prediction error in practice. The distance measure can be applied, for example, in assessing the uncertainty of prediction.     

Spatial Cluster Detection for Longitudinal Outcomes Using Administrative Regions

This article proposes a new spatial cluster detection method for longitudinal outcomes that detects neighborhoods and regions with elevated rates of disease while controlling for individual level confounders. The proposed method, CumResPerm, utilizes cumulative geographic residuals through a permutation test to detect potential clusters which are defined as sets of administrative regions, such as a town or group of administrative regions. Previous cluster detection methods are not able to incorporate individual level data including covariate adjustment, while still being able to define potential clusters using informative neighborhood or town boundaries. Often, it is of interest to detect such spatial clusters because individuals residing in a town may have similar environmental exposures or socioeconomic backgrounds due to administrative reasons, such as zoning laws. Therefore, these boundaries can be very informative and more relevant than arbitrary clusters such as the standard circle or square. Application of the CumResPerm method will be illustrated by the Home Allergens and Asthma prospective cohort study analyzing the relationship between area or neighborhood residence and repeated measured outcome, occurrence of wheeze in the last six months, while taking into account mobile locations.     

Infiuence functions for certain parameters in discriminant analysis when a single discriminant function is not adequate

The influence function introduced by Hampel (1968, 1973, 1974) i s a tool that can be used for outlier detection. Campbell (1978) has derived influence function for ~ahalanobis's distance between two populations which can be used for detecting outliers i n discriminant analysis. Radhakrishnan and Kshirsagar (1981) have obtained influence functions for a variety of parametric functions i n multivariate analysis. Radhakrishnan (1983) obtained influence functions for parameters corresponding to "residual" wilks's A and i t s "direction" and "collinearity" factors i n discriminant analysis when a single discriminant function is ade- quate while discriminating among several groups. In this paper influence functions for parameters that correspond to "residual" wilks's A and its "direction" and "coplanarity" factors used to test the goodness of f i t of s (s>l) assigned discriminant func- tions for discriminating among several groups are obtained. These influence functions can be used for outlier detection i n m u l t i -variate data when a single discriminant function is not adequate.