改进数学形态方法及其在电能质量监测中的应用

在分析传统形态滤波方法缺陷的基础上，提出一种改进的数学形态方法来处理电能质量监测中采集数据的噪声问题．通过选取合适的结构元素，并利用不同的结构元素及其自适应的加权组合方式，设计了性能优异的电能质量扰动信号的处理方法，该方法能在保证信号局部特征的前提下对信号进行有效的去噪．文中介绍了算法的设计要点和步骤，并从仿真计算和实验设计两方面来分析所提方法的性能和效率．结果表明，该方法设计简单、计算速度快、易于硬件实现，是一种切实可行的方法。     

顶吹搅拌液相流体的水模实验与数值模拟分析

采用水模型和VOF数学模型对浸没式气体顶吹搅拌液相流体分别进行实验与数值模拟,分析在不同喷吹条件下气泡在液相中的形变、运动及液相流体的流场特性。结果表明,随着气流量和喷管浸入液面深度的增加,气-液混合区域分布范围逐渐扩大,液面波动更剧烈;气流量越大、喷管浸入液面越深、液相温度越高,气泡运动对液相流体内部的搅拌作用越强,流体内部扰动越剧烈,液相流场域中的流场速度越大,其中,当气流量为2.0m3/h、喷管浸入液面深度为340mm时,其液相流场速度最大值达到1.18m/s。     

属性约简的两阶段遗传算法

属性约简是数据挖掘的一个重要研究内容. 为了解决具有多种属性类型的决策表约简问题,在粗集和二元关系聚合理论的基础上,利用属性重要性作为评价标准,提出了一种两阶段遗传约简算法. 算法的第一阶段是为了找出尽可能多的约简,第二阶段力求寻找最小约简. 根据算法每个阶段的目标设计了编码方案、种群规模、适应度函数、终止条件、选择、变异和修正操作. 实验表明,与标准遗传算法相比,两阶段算法在计算最小约简时更为准确和稳定.     

High-performance flexural fatigue of carbon nanotube yarns

Carbon nanotube yarns （CNTY） possess good specific strength and specific conductivity. As such, their potential for commercial applications is significant. Fatigue performance is a significant consideration in yarn/wire applications. In this study, the flexural fatigue performance of CNTY spun from super-aligned carbon nanotube arrays was investigated using a reversed bending test. The results showed that CNTY exhibited excellent resistance to pure flexural fatigue, significantly outperforming stainless steel wire; CNTY failed where a combination of flexural fatigue and tension-tension fatigue had special hollow fracture morphology, and CNTY resistance remained fundamentally unchanged in the combination fatigue process.     

一类四元素广义Riemann边值问题的封闭形式解

考虑四元素的广义Riemann边值问题a(t)φ+(t)+b(t)φ+(t)=c(t)φ-(t)+d(t)φ-(t)+f(t),t∈L,边界L为简单封闭的Lyapunov曲线.许多学者就该问题的Noether性质、线性无关解的个数、可解条件等方面作了深入的研究,问题求解情况也得到广泛的关注,但是还没有得到圆满的解决.讨论当满足条件a(t)=b(t)≠0,c(t)≠b(t)时,上述问题的Noether性质和求解情况,并通过适当的转化,给出了问题的求解过程和解封闭形式.     

中小企业集合资金信托探讨

分析了中小企业融资现状,论述了中小企业集合资金信托及融资特点,并以实例介绍了杭州和上海首个中小企业集合资金信托。     

基于惯性测量器件的无线步态分析平台

步态定量测量方法应用于许多领域,如临床医学、双足机器人控制等.采用惯性测量单元结合无线传感器网络建立了一个步态分析平台,将两个无线惯性测量单元传感器节点分别绑定在左右双侧脚踝,以同时采集双脚运动过程中的加速度和角速度信号,并将其通过无线方式发送到远程终端.通过模式识别、时间序列分析、阈值检测和零速修正等多种数据融合方法计算步态参数,并通过融合双足传感器数据得到双支撑相、双脚步行周期等重要的双足步态参数,其中双支撑相参数对人体日常动作的识别有重要意义.实验结果显示该研究具有较高的计算精度.     

Polo inhibits progenitor self-renewal and regulates Numb asymmetry by phosphorylating Pon

Self-renewal and differentiation are cardinal features of stem cells. Asymmetric cell division provides one fundamental mechanism by which stem cell self-renewal and differentiation are balanced. A failure of this balance could lead to diseases such as cancer. During asymmetric division of stem cells, factors controlling their self-renewal and differentiation are unequally segregated between daughter cells. Numb is one such factor that is segregated to the differentiating daughter cell during the stem-cell-like neuroblast divisions in Drosophila melanogaster, where it inhibits self-renewal. The localization and function of Numb is cell-cycle-dependent. Here we show that Polo (ref. 13), a key cell cycle regulator, the mammalian counterparts of which have been implicated as oncogenes as well as tumour suppressors, acts as a tumour suppressor in the larval brain. Supernumerary neuroblasts are produced at the expense of neurons in polo mutants. Polo directly phosphorylates Partner of Numb (Pon, ref. 16), an adaptor protein for Numb, and this phosphorylation event is important for Pon to localize Numb. In polo mutants, the asymmetric localization of Pon, Numb and atypical protein kinase C are disrupted, whereas other polarity markers are largely unaffected. Overexpression of Numb suppresses neuroblast overproliferation caused by polo mutations, suggesting that Numb has a major role in mediating this effect of Polo. Our results reveal a biochemical link between the cell cycle and the asymmetric protein localization machinery, and indicate that Polo can inhibit progenitor self-renewal by regulating the localization and function of Numb.