多源点多汇点网络系统可靠度的解析表示

本文研究了基于最小路径描述的多源点多汇点网络系统可靠性问题。定义了最小路径矩阵的几种运算,利用所定义的运算,将多源点多汇点网络系统转化为等价的单源点单汇点网络系统,并给出了由子系统可靠度精确表示网络系统可靠度的解析表达式。这种解析表达是非常重要的,它是系统可靠性的理论研究与实际应用的一个极为有效的工具。     

An advanced quality function deployment model using fuzzy analytic network process

Quality function deployment (QFD) is a customer-oriented design tool used to ensure that the voice of customers is employed throughout the product planning and design stages. QFD uses the house of quality (HOQ), which is a matrix that provides a conceptual map for inter-functional planning and communication. In this paper, an advanced QFD model, based on fuzzy analytic network process (ANP) approach, is proposed to systematically take into account the interrelationship between and within the QFD components. The proposed method is aimed at expanding the current research scope from the product planning phase to the part deployment phase to provide product developers with more valuable information (ex. the importance and bottleneck level of part characteristics). Both customer requirements and the company’s production demands will be used as the inputs for the QFD process to enhance the completeness and accuracy of the QFD analysis results. A case study is presented to illustrate the application of the proposed method.     

基于关系网络的大规模交互式群体评价方法

针对大规模交互式群体评价中如何实现群体意见的有效集结问题,以关系网络为切入点,提出了一种基于关系网络结构的群体评价方法。首先,将评价者视为网络节点,并通过计算节点之间的正负相关系数来构造关系矩阵;其次,设计节点中心度和子群凝聚度,以度量节点和子群的重要性;然后,测量群体评价信息的一致性和稳定性,以此确定交互终止条件;最后,引入阶段权重以集结交互阶段的评价信息,并对最终结果排序。算例验证了该方法的适用性和有效性。     

基于第三方电子集市的人力资源配置系统的案例检索算法研究

采用改进的欧氏距离的检索算法解决区间特征属性的计算,并在此基础上解决案例模糊属性的相似度度量问题.采用PULL&PUSH调整策略,并主要采用GoodUpMatching(简称GUM)调整方法进行案例权重的调整.文章系统提出了一套案例检索及其权重优化方法.并以第三方电子集市的人力资源配置系统为实例,完成了该检索方法及权重优化方法的有效性和效率对比实验,验证了它的有效性及优化性.     

Rational Surfaces with Many Nodes

We describe smooth rational projective algebraic surfaces over an algebraically closed field of characteristic different from 2 which contain n b ₂ –2 disjoint smooth rational curves with self-intersection –2, where b ₂ is the second Betti number. In the last section this is applied to the study of minimal complex surfaces of general type with p _g = 0 and K² = 8, 9 which admit an automorphism of order 2.     

钢管混凝土K型相贯节点试验研究与数值模拟

从钢管混凝土格构式风电塔架原型中取出节点模型,对5个K型焊接相贯节点进行了试验研究和理论分析,研究了不同几何参数条件下节点的破坏过程和特征、荷载-变形关系和承载能力等。建立了有限元模型,分析了各研究参数对节点破坏形态和极限承载力的影响规律,得到了节点失效机制的判别参数与准则。试验结果表明:圆钢管混凝土K型相贯节点在丧失承载力前弦杆的宏观变形特征不明显,腹杆失效是主要破坏形态;与空心圆钢管相贯节点相比,刚度大大增加,相贯线周围应力集中程度也降低。有限元分析结果表明:圆钢管混凝土K型相贯节点的控制破坏形态包括腹杆失效和弦杆冲剪破坏,控制破坏类型的关键指标是腹杆与弦杆的壁厚比τ和夹角θ。为避免钢管混凝土格构式风电塔架出现节点失效,须限制参数τ、θ的取值。本文建议τ≤1,θ≤45°。     

一个淋病扩散模型的定性分析

本文利用奇点理论与Ｂｅｎｄｉｘｓｏｎ定理对淋病扩散模型进行了定性分析,给出了可行平衡点附近,特别是高阶平衡点附近轨线的定性结构,研究了可行平衡点的全局渐近稳定性,得到了完整的结果。     

A short proof of König's matching theorem

We give a short proof of the following basic fact in matching theory: in a bipartite graph the maximum size of a matching equals the minimum size of a node cover. © John Wiley & Sons, Inc. J Graph Theory 33: 138–139, 2000     

Research on Community Detection in Complex Networks Based on Internode Attraction

With the rapid development of computer technology, the research on complex networks has attracted more and more attention. At present, the research directions of cloud computing, big data, internet of vehicles, and distributed systems with very high attention are all based on complex networks. Community structure detection is a very important and meaningful research hotspot in complex networks. It is a difficult task to quickly and accurately divide the community structure and run it on large-scale networks. In this paper, we put forward a new community detection approach based on internode attraction, named IACD. This algorithm starts from the perspective of the important nodes of the complex network and refers to the gravitational relationship between two objects in physics to represent the forces between nodes in the network dataset, and then perform community detection. Through experiments on a large number of real-world datasets and synthetic networks, it is shown that the IACD algorithm can quickly and accurately divide the community structure, and it is superior to some classic algorithms and recently proposed algorithms.     

Respiratory modulation of heart beat-to-beat interval in diabetic patients

We have analyzed simultaneous recordings of respiration and heartbeat intervals in diabetic patients and control subjects. Our main findings are that in diabetic patients the heart beat-to-beat interval variability and cardiorespiratory crosscorrelation are decreased, the autocorrelation time of the interval series is increased, and the phase relation of the respiration with the heartbeat interval oscillations is often reversed in comparison with the control subjects. We have been able to reproduce the data using a biophysical model in which the time dependent input signal to the sinoatrial node was constituted of quasiperiodic and aperiodic components. The quasiperiodic input was obtained from the recording of the respiratory signal and the aperiodic input was obtained from selected realizations of correlated noise. Our study indicates that both input components to the sinoatrial node are modified in diabetic patients.