加权残值法解两平板间圆柱绕流问题

本文针对两平板间统圆柱二维势流问题的特点,构造一种特殊形式的有理对称试函数φ=∑Cijx~2ly~2j+1/(x~2+y~2)。该函数部分地满足边界条件。用配点法和最小二乘法对问题进行解算,对结果进行了讨论并与文献(2)中的近似解析解进行比较。     

CRM与6Sigma的一致性与差异性研究

CRM(客户关系管理)和6Sigma是两种十分重要的现代化管理方法.文章对CRM和6Sigma的一致性和差异性进行了研究,首在为两者的集成应用提供支持.     

移动无线传感器网络中的网络分割

移动无线传感器网络因为传感器节点具有自主移动能力而使网络无法持久保持稳定的连通性,导致网络长时间处于被分割成多个局部子网的状态.通过对网络动态分割的深入研究,从物理层、链路层分析产生网络分割的原因,定义网络分割时间比、网络分割度和网络承载率等指标,量化地分析了网络分割问题.通过仿真实验得到的大量实验数据,揭示出移动无线传感器网络连接在网络分割方面的两个特征:网络分割时间比与节点数目呈反比,网络承载率与网络分割度的稳定性呈正比.研究结果既可为无线传感器网络的实际应用提供依据,又可为上层协议的研究提供有价值的参考.     

磁头材料性能一致性及应力敏感性研究

严格控制原材料并利用可调成分的１吨真空中频感应炉加冶炼，加之制定严格的生产工艺及热处理退火工艺，可确保磁头材料的性能一致性及稳定性，改善材料的应力敏感性则须从多种角度进行考虑。     

并行设计中冲突的一致性检测算法

对并行设计基于约束的一致性检测算法进行了研究,建立了Petri网模型.分析了模型的性质,给出了适用于并行设计冲突检测的算法,并且通过具体应用实例进行了验证,说明了方案的可行性.     

平方振型加权模态参数整体识别法

提出了整体频响函数的新概念(GFRF).以振型平方和的形式对全部频响函数进行加权组合,建立了多输入多输出模态参数的识别模型.仿真验算的分析结果表明,该方法具有精度高,一致性好,能分离密集模态和消除随机噪声等优点,可以应用于大型复杂结构的试验模态分析.     

线性加权法在总图设计方案评价中的运用

总图设计方案评价的方法很多.本文通过实例介绍运用线性加权法将复杂系统的决策因素定量分析,为最佳方案的选择提供依据.     

多线扫描相机系统一致性成像方法研究

输入图像是否满足一致性,将严重影响多线扫描相机带钢表面质量在线检测系统对缺陷的检出和分析。分析影响多线扫描相机输入一致性的因素,给出了针对性的解决措施,最终形成一个包括软件和硬件在内的解决方案,能够非常直观高效地提高系统的一致性输入水平。     

纯电动车用18650电池的一致性研究

通过对国内外五款纯电动车用18650电池进行电化学性能测试、变异系数分析和相关性分析,评估电池在初始阶段和老化过程中的一致性,并系统分析电流、温度及电压范围对电池一致性的影响.结果表明：为了提高纯电动车用18650电池全寿命周期内的一致性,必须控制充电倍率小于0.3C,放电倍率小于0.5C,使用温度高于0℃.此外,优化电池筛选工艺也是改善电池一致性的一个重要方法.初始筛选时加入能够表征寿命因素的特征参数k值,即静置时开路电压的下降速率,是非常有效的.     

当代网络伦理问题分析

随着信息时代的来临,网络已经成为人们工作学习必不可少的工具,它正在以巨大的影响力改变着人们的生活方式和思维方式.然而任何事物都有正反两方面的作用,在网络促进社会发展的同时,也存在诸多的问题,如隐私权侵犯、网络虚假信息横流、网络色情信息泛滥等,这些问题将直接导致诸多社会伦理问题,本文将从伦理方面对当代网络问题进行分析,旨在规范人们的网络行为,净化网络空间.     

离散时间异质多智能体系统的一致性控制

针对由一阶智能体和二阶智能体组成的离散异质多智能体系统,研究其一致性问题.设计无通信时延和具有有界通信时延时的分布式一致性协议,通过将系统转化为自治的离散时间线性时不变系统,运用矩阵理论和代数图论方法,分析得到系统实现一致性的充分条件.获得的充分条件与采样周期、控制参数和系统的拓扑结构有关.证明了系统的一致性不受有界通信时延影响.数值仿真结果验证了理论结果的正确性.     

Impact of Perceived Consensus on Stereotypes About Obese People: A New Approach for Reducing Bias.

In 3 experiments, the authors tested the effect of perceived social consensus on attitudes toward obese people. Participants completed self-report measures of attitudes toward obese people prior to and after manipulated consensus feedback depicting attitudes of others. In Study 1 (N=60), participants decreased negative and increased positive stereotypes after learning that others held more favorable attitudes toward obese people. In Study 2 (N=55), participants improved attitudes when they learned about favorable attitudes of obese people from an in-group versus an out-group source. In Study 3 (N=200), a consensus approach was compared with other stigma reduction methods. Social consensus feedback influenced participants' attitudes and beliefs about causes of obesity. Providing information about the uncontrollable causes of obesity and supposed scientific prevalence of traits also improved attitudes. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

人工神经网络方法在Osprey过程中的应用

以BP反传理论为基础,建立了对Osprey过程的前向多层神经网络,并对其进行测试.利用这一方法研究了Osprey过程中部分参数对孔隙度的影响.结果证明该网络较好地实现了学习和预测.     

齐型空间上极大函数的一类加权模不等式

证明齐型空间上极大函数的加权赋L(p,q)范数的不等式成立。     

Functional Networks in Structural Engineering

In this paper, functional networks (FN) proposed by Castillo as an alternative to neural networks are discussed. Unlike neural networks, the functions are learned instead of weights. In general, topology is selected based on data, domain knowledge (properties of the function such as associativity, commutativity, and invariance), or a combination of the two. The object of this paper is to show the application of some functional network architectures to model and predict the behavior of structural systems which are otherwise modeled in terms of differential or difference equations or in terms of neural networks. In this paper, four examples in structural engineering and one example in mathematics are discussed. The results obtained by functional networks are compared with those obtained by neural networks for the first four examples, and it is shown that functional networks are more efficient and powerful and take much less computer time as compared to predictions by conventional neural networks such as the back-propagation network.     

基于ASP的局域网电子文件签收系统的设计

针对计控公司网络现状，开发了基于ASP的局域网电子文件签收系统，提高了公司管理效率，为计控公司实现无纸化办公提供了有利条件。     

Cortical Networks Generating Movement-Related EEG Rhythms in Alzheimer's Disease: An EEG Coherence Study.

Patients with mild Alzheimer's disease (AD) present with abnormally strong values of frontal and ipsilateral central sensorimotor rhythms. The authors tested 2 working hypotheses of the related electroencephalographic (EEG) coherence: disconnection, defined as a sign of a reduced coordination within the frontoparietal and interhemispheric networks, and cooperation, defined as a reflection of the reorganization of the brain sensorimotor networks. Results showed that, compared with healthy controls, patients with mild AD had an unreactive and abnormally low interhemispheric EEG coherence and an unreactive and abnormally high frontoparietal EEG coherence. These findings support the hypothesis of an impaired mechanism of sensorimotor cortical coupling (disconnection) in mild AD. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Attitudes in the Social Context: The Impact of Social Network Composition on Individual-Level Attitude Strength.

Four studies, using both experimental and correlational designs, explored the implications of being embedded within attitudinally congruent versus attitudinally heterogeneous social networks for individual-level attitude strength. Individuals embedded within congruent social networks (i.e., made up of others with similar views) were more resistant to attitude change than were individuals embedded within heterogeneous social networks (i.e., made up of others with a range of views). Mediational evidence suggests that attitudinally congruous social networks may increase attitude strength by decreasing attitudinal ambivalence and perhaps by increasing the certainty with which people hold their attitudes. These results suggest that features of the social context in which an attitude is held have important implications for individual-level attitude strength. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

人工神经网络在设备诊断中的应用研究

简述国内外在设备诊断中应用人工神经网络(Artificial Neural Networks-ANN)的发展状况,阐述人工神经网络在设备振动诊断领域的应用方法,现场使用表明人工神经网络对于设备故障的识别及诊断具有较好的应用前景.     

基于神经网络的轴承故障诊断方法

研究了基于神经网络的轴承故障诊断方法,应用于球轴承、圆锥轴承和圆柱轴承在轴承疲劳试验机上实际运行产生的各种真实故障的诊断,结果表明:该方法具有较好的效果。