有限长度LDPC码一种速率兼容删余算法

提出一种AWGN信道下有限长度RC-LDPC码的删余算法,该算法对规则及非规则LDPC码均有效。该删余算法基于一系列准则,其中一个重要准则是某个候选删除节点的具有低的近似环外消息度(ACE)的短环的数量。仿真结果表明,ACE对删余码的性能有很大的影响,该算法的性能比已有算法有进一步提高。     

A method for stochastic multiple criteria decision making based on dominance degrees

This paper proposes a method for solving the stochastic multiple criteria decision making (SMCDM) problem, where consequences of alternatives with respect to criteria are represented by random variables with probability distributions. Firstly, definitions and related analysis of dominance degree of one probability distribution over another are given. Then, by calculating the dominance degrees, the dominance degree matrix of alternative pairwise comparisons with respect to each criterion is built. Further, using PROMETHEE II method, an overall dominance degree matrix of alternative pairwise comparisons is constructed, and a net flow of each alternative is calculated. Based on the obtained net flows, a ranking of alternatives is determined. Finally, numerical examples for the three cases are given to illustrate the use of the proposed method.     

A fuzzy reasoning and fuzzy-analytical hierarchy process based approach to the process of railway risk information: A railway risk management system

Risk management is becoming increasingly important for railway companies in order to safeguard their passengers and employees while improving safety and reducing maintenance costs. However, in many circumstances, the application of probabilistic risk analysis tools may not give satisfactory results because the risk data are incomplete or there is a high level of uncertainty involved in the risk data. This article presents the development of a risk management system for railway risk analysis using fuzzy reasoning approach and fuzzy analytical hierarchy decision making process. In the system, fuzzy reasoning approach (FRA) is employed to estimate the risk level of each hazardous event in terms of failure frequency, consequence severity and consequence probability. This allows imprecision or approximate information in the risk analysis process. Fuzzy analytical hierarchy process (fuzzy-AHP) technique is then incorporated into the risk model to use its advantage in determining the relative importance of the risk contributions so that the risk assessment can be progressed from hazardous event level to hazard group level and finally to railway system level. This risk assessment system can evaluate both qualitative and quantitative risk data and information associated with a railway system effectively and efficiently, which will provide railway risk analysts, managers and engineers with a method and tool to improve their safety management of railway systems and set safety standards. A case study on risk assessment of shunting at Hammersmith depot is used to illustrate the application of the proposed risk assessment system.     

YL43复合滤嘴成型机滤棒对称度的研究

复合棒添加材料由传统炭粉更换成茶叶末后,复合滤棒对称度出现偏大问题,研究YL43复合滤嘴成型机信号提取和信号处理的工作原理,通过改变信号提取方式,实现切割位置精准控制,从而大大降低了茶叶末型复合滤棒对称度偏大比率.     

基于固定内存和状态管理的模型检测方法*

在研究固定内存和状态管理的基础上,提出了一种新的模型检测方法,使得在任何计算机上都能对任意规模的并发系统进行模型检测.     

基于模糊支持向量机的剪接位点识别

为了提高模糊支持向量机(FSVM)对剪接位点的识别精度,提出一种计算样本隶属度的新方法。将样本到两聚类中心的距离比值作为样本的初始隶属度,采用K近邻(KNN)方法计算样本的紧密度,最后将初始隶属度与紧密度的乘积作为样本的最终隶属度,这样既提高了支持向量的隶属度,又降低了噪声样本的隶属度。将此方法应用到剪接位点的识别中,对组成性5′和3′剪接位点的识别精度分别达到了94.65%和 88.79%,与经典支持向量机相比,3′剪接位点的识别精度提高了7.94%。     

高性能SAR成像程序的并行粒度选择技术

高性能并行仿真程序必须采用针对性的并行优化技术以获得高效的性能加速。而根据程序特性,确定适合的并行粒度是设计并行优化技术的基础。因此,以典型合成孔径雷达(SAR)成像程序--距离-多普勒(RD)程序为代表,研究了高性能SAR成像程序的并行粒度选择技术,重点针对并行粒度的基本准则和RD算法的并行粒度选择方法进行了研究。实验结果证明,经过并行粒度优化选择的SAR成像程序能够获得显著的性能提升,并且具有良好的可扩展性。     

基于门限关联度的多特征量性能可靠性评估

针对具有多个特征参量的产品性能可靠性评估问题,提出一种基于门限关联度的多特征量性能可靠性评估方法.该方法利用灰色系统理论中的多参数关联分析方法计算多性能特征量的待检状态与标准状态的关联度,通过关联度的大小来判断系统的性能状况,进而对系统的性能可靠性进行评估.最后以某电路为例,对其监测数据分析得出给定时间条件下,该电路的性能可靠度为0.75,从而验证了该方法的有效性和实用性.     

对象间差异度的限制非对称相似关系模型

经典Rough集理论主要是利用了不可分辨关系对完备信息系统进行分析的。对现有粗糙集模型进行扩充后,才可以应用于不完备信息系统。容差关系、非对称相似关系、基于对象间完备度的限制容差关系、限制非对称相似关系等是现有的扩充模型。通过分析其优点和不足之处,提出一种新的模型——对象间差异度的限制非对称相似关系模型,在该模型中,给出的知识粒度更精确,更符合实际。实例结果也证明新模型可以从不完备信息系统获取更加精确的知识粒度。     

程度推理与程度控制

文章把语言值规则（模糊规则）视为语言值及其程度（隶属度）之间的一种对应关系,提出了程度函数和程度规则的概念,并由此建立了一种称为程度推理和程度控制的推理与控制方法。采用程度推理和程度控制,传统的模糊推理就变为简单的符号推演和函数计算,传统的模糊控制由数值／（语,度）转换、（语,度）变换和（语,度）／数值转换等三步来实现。