浅谈本土服装零售的SPA经营模式

从理论上全面解读SPA经营模式的含义,以真维斯公司为例,总结了此种模式发展至今可借鉴的成功经验。并针对目前国内服装零售业的现状,分析了SPA经营模式在我国得以推行的可行性,并指出本土服装零售企业在发展中需重点关注的内容。     

Vulnerability modeling of cryptographic hardware to power analysis attacks

Designers and manufacturers of cryptographic devices are always worried about the vulnerability of their implementations in the presence of power analysis attacks. This article can be categorized into two parts. In the first part, two parameters are proposed to improve the accuracy of the latest hypothetical power consumption model, so-called toggle-count model, which is used in power analysis attacks. Comparison between our proposed model and the toggle-count model demonstrates a great advance, i.e., 16%, in the similarity of hypothetical power values to the corresponding values obtained by an analog simulation. It is supposed that the attacker would be able to build such an accurate power model. Thus, in the second part of this article we aim at evaluating the vulnerability of implementations to power analysis attacks which make use of our proposed power model. Simple power analysis, various types of differential power analysis, and correlation power analysis are taken into account. Then, some techniques are proposed to examine the vulnerability of implementations to such kinds of power analysis attacks.     

基于无信息变量消除法和连续投影算法的可见-近红外光谱技术白虾种分类方法研究

应用无信息变量消除法结合连续投影算法对可见-近红外光谱区进行有效波长的选择,选择后的波长作为输入变量建立最小二乘-支持向量机模型,对白虾属中三种典型种,脊尾白虾、秀丽白虾和东方白虾进行鉴别分类.实验采用Kennard-Stone算法选取150个样本作为建模集,50个样本作为预测集,通过UVE-SPA优选了数值分别为392、431、517、551、595、627、676、734、760、861、943和1018 nm的12个波长为LS-SVM的输入变量,建立了白虾种分类模型.该模型对50个预测集样本检验的准确率达到了92.00%.结果表明,采用可见-近红外光谱对白虾种进行鉴别是可行的,UVE-SPA能够有效地进行波长选择,使LS-SVM模型获得最优的分类结果.     

一个改进的多点乘算法

SPA（Simple Power Analysis）攻击可能通过泄露的信息获取内存受限制的设备（如Smart卡）中的密钥，它是通过区分一次点乘运算中点加运算和倍点运算进行的。抗SPA攻击的点乘算法较多，但对于多点乘算法相关措施较少。interleaving多点乘算法是一个时间和空间效率都非常优秀的多点乘算法。为此提出一种基于interleaving的抗SPA攻击的多点乘算法，新的算法在内存空间消耗和计算速度上较原算法负担增加可以忽略不计，而且能够抗SPA攻击。     

集对分析联系数在学生成绩综评中的应用

用不同方法时学生成绩作综合评定会有不同的评定结果，说明这一过程有不确定性因紊存在。应用集时分析联系数可以对其中的不确定性作定量描述和分析，从而提高学生成绩综合评定结果的客观性和合理性。     

基于熵率的密码芯片抵御SPA功耗攻击能力的量化方法

通过大量的工程实验获得了描述密码芯片功耗泄漏量随机性的两个关键指标:一是门级翻转数量的分布律,二是门级翻转数量的转移矩阵.以这两个关键指标为基础,引入信息论中熵率的概念,通过熵率的值动态地测量密码芯片在加密过程中功耗波形的熵值随机器周期数量的增长速度,进而有效地衡量密码芯片在SPA攻击下所具备的防御性能.     

Joint parameter estimation and decoding in a distributed receiver

This paper presents an algorithm for iterative joint channel parameter (carrier phase, Doppler shift, and Doppler rate) estimation and decoding of transmission over channels affected by Doppler shift and Doppler rate using a distributed receiver. This algorithm is derived by applying the sum-product algorithm (SPA) to a factor graph representing the joint a posteriori distribution of the information symbols and channel parameters given the channel output. In this paper, we present two methods for dealing with intractable messages of the SPA. In the first approach, we use particle filtering with sequential importance sampling for the estimation of the unknown parameters. We also propose a method for fine-tuning of particles for improved convergence. In the second approach, we approximate our model with a random walk phase model, followed by a phase tracking algorithm and polynomial regression algorithm to estimate the unknown parameters. We derive the Weighted Bayesian Cramer-Rao Bounds for joint carrier phase, Doppler shift, and Doppler rate estimation, which take into account the prior distribution of the estimation parameters and are accurate lower bounds for all considered signal-to-noise ratio values. Numerical results (of bit error rate and the mean-square error of parameter estimation) suggest that phase tracking with the random walk model slightly outperforms particle filtering. However, particle filtering has a lower computational cost than the random walk model-based method.     

支持个人移动的多代理系统网络协商思想

描述了支持个人移动,为用户提供智能接口以进行服务的多代理系统的结构和操作.本系统由下面的协议代理组成:个人通信代理（PCA）,给用户提供应用服务的智能接口;服务供应代理（SPA）,支持服务和用户间的通信;网络供应代理（NPA）,为SPA发出的请求提供网络连接.     

基于集对分析的综合评价方法及其应用

基于集对分析（SPA）的原理和方法，在介绍集对分析的思想和联系度有关概念后，提出评价系统各指标为连续型的等级综合评价方法，并用之对水稻高产性状和长江水质评价系统中，与相关文献的评价结果作对比，有一致的结论。从而验证方法的有效性。文中所用理论方法可推广应用于其他领域进行类似的评价。     

基于集对分析的模糊综合评判

集对分析是一种应用于方案决策的定性与定量相结合的方法。模糊综合评判是利用模糊集理论进行综合评价的一种方法。一般的模糊评判方法定性与定量结合时,如果量化细微,不仅增加计算工作量,而且也会与其模糊性相悖,导致评定结果可信度的降低;如果量化粗糙,亦会导致评定结果可信度的降低;模糊隶属函数的确定本身就是模糊数学理论在工程中应用的难点。结合集对分析方法和模糊综合方法对事物进行综合评判,能够真实反映研究对象的状况,具有很好的工程应用价值。