实时数据仓库中一种改进的数据流更新算法

为实现数据仓库中数据的高效集成,针对数据偏斜分布现象,提出一种改进的数据流更新算法EH-JOIN。该算法对传统散列连接方法进行改进,利用索引将部分频繁使用的主数据存储在内存中,解决了高速数据流下的磁盘频繁访问问题。实验结果表明,与MESHJOIN算法和R-MESHJOIN算法相比,EH-JOIN算法的服务速率在磁盘存储关系集保持适当大小时分别提高了96%和81%,在内存大小不同时提高了57%和48%。     

新型8极9槽永磁同步电机静态场的分析

针对采用分布式绕组的缺点,提出一种采用集中式绕组的新型8极9槽永磁同步电机,并在此基础上改变磁钢的参数,对电机的结构进行优化。     

Robust Classification for Imprecise Environments

In real-world environments it usually is difficult to specify target operating conditions precisely, for example, target misclassification costs. This uncertainty makes building robust classification systems problematic. We show that it is possible to build a hybrid classifier that will perform at least as well as the best available classifier for any target conditions. In some cases, the performance of the hybrid actually can surpass that of the best known classifier. This robust performance extends across a wide variety of comparison frameworks, including the optimization of metrics such as accuracy, expected cost, lift, precision, recall, and workforce utilization. The hybrid also is efficient to build, to store, and to update. The hybrid is based on a method for the comparison of classifier performance that is robust to imprecise class distributions and misclassification costs. The ROC convex hull (ROCCH) method combines techniques from ROC analysis, decision analysis and computational geometry, and adapts them to the particulars of analyzing learned classifiers. The method is efficient and incremental, minimizes the management of classifier performance data, and allows for clear visual comparisons and sensitivity analyses. Finally, we point to empirical evidence that a robust hybrid classifier indeed is needed for many real-world problems.     

飞轮用无位置传感器无刷直流电动机系统设计

介绍了无位置传感器无刷直流电动机(BLDCM)及其控制系统的设计;给出了样机的实验数据,介绍了采用无槽绕组来降低电动机单边磁拉力以及控制系统调试中应注意的问题。     

A Multivariate T2 Control Chart for Skewed Populations Using Weighted Standard Deviations

This paper proposes a heuristic method of constructing multivariate T² control charts for skewed populations based on ‘weighted standard deviations’, obtained by decomposing the standard deviation into upper and lower deviations according to the direction and degree of skewness. The proposed method adjusts the variance–covariance matrix of quality characteristics and modifies the ellipsoidal probability density function contour of the multivariate normal distribution to a shape similar to that of the skewed distribution. False alarm rates and out‐of‐control average run lengths of the proposed control chart are compared with those of the standard control chart for multivariate lognormal, Weibull and gamma distributions, and the results show that considerable improvement over the standard method can be achieved when the distribution is skewed. Copyright © 2003 John Wiley & Sons, Ltd.     

Using Taxometric Analysis to Distinguish a Small Latent Taxon From a Latent Dimension With Positively Skewed Indicators: The Case of Involuntary Defeat Syndrome.

Joining the debate on the structure of depression, S. R. H. Bearh and N. Amir (2003) analyzed college students' responses to 6 Beck Depression Inventory (BDI) items with predominantly somatic content and concluded that they identified a small latent taxon corresponding to involuntary defeat syndrome. An exact replication of these analyses yielded virtually identical taxometric results, but parallel analyses of simulated taxonic and dimensional comparison data matching the intercorrelations and skewed distributions of the BDI items showed the results to be more consistent with dimensional than with taxonic latent structure. Analyses in a clinical sample with nonskewed indicators further supported a dimensional interpretation. The authors discuss methodological strategies for conducting and interpreting taxometric analyses under the adverse conditions commonly encountered in psychopathology research, including skewed indicators and small putative taxa. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

钢筋混凝土框架柱受剪性能分析

利用三维非线性有限元方法对矩形截面两个主轴方向上配箍量不等的钢筋混凝土框架柱在斜向水平荷载作用下的受剪承载力进行了分析研究,并与试验结果进行了比较分析,得出了斜向水平荷载作用下钢筋混凝土框架柱受压侧的两个角边容易发生钢筋与混凝土的粘结破坏及在柱截面短边适量增加配箍量有利于提高斜截面受剪承载力的结论.     

气流分布对电除尘器影响的数值模拟

气流分布状况是影响电除尘器除尘效率的因素之一,采用数值模拟的方法对电除尘气流分布进行研究,流场的模拟采用标准k-ε双方程,数值计算采用SIMPLE算法.结果表明,在电除尘器进口端设置三层分布板,气流分布呈均匀状态;进口速度15m/s时,除尘效率达到最高;在相同进口风速下,电除尘器若只在进口处布置一块气流分布板,开孔率30%-40%最优;在气流均匀分布的基础上,分布板采用进口上小下大,出口上大下小开孔率形式布置,可以有效形成斜气流.     

小型并网运行的单相永磁同步发电机的设计

单相永磁同步发电机在民用发电系统中有一定的应用,然而单相电机的理论和工程应用主要集中在单相异步电动机。本文设计了并网运行的10KW单相永磁同步发电机,首先根据电磁负荷确定基本尺寸,应用磁路法对转子永磁体进行了设计,根据电机的相量图分析了移相电容的选取,对电机的两相绕组和谐波抑制进行分析设计,分析了斜槽对减小电压波形畸变率和负载转矩脉动的作用,最后通过场路耦合有限元方法计算了样机的运行特性。     

考虑剪切变形影响的斜桥振动频率与车-桥振动分析

利用修正的Timoshenko梁振动理论建立了等截面斜桥振动频率的超越方程和静力、动力分析有限元列式,用解析法和有限元法分析了斜度、支承方式对单跨斜桥结构前5阶振动频率的影响,对单跨斜桥车-桥振动进行了分析,考察了车速对动挠度、动弯矩的影响和不同截面振动的同相性及最大动挠度、最大动弯矩发生的部位,比较了不同车速条件下规范方法、车-桥振动方法计算的挠度、弯矩冲击系数的差别。算例结果表明:斜桥自振频率解析解与有限元解一致、斜度和支承方式对斜桥动力特性有重要影响、车辆的冲击效应与车速没有单调变化规律、挠度和弯矩的冲击系数不同。