多维气相色谱法测定石脑油族组成

建立了一种采用具有多阀、多柱和吸附阱的多维气相色谱测定石脑油族组成的分析方法。通过5个阀对7根选择性不同的色谱柱进行准确切换控制,使样品分别进入不同的色谱柱中,分离出正构、异构烷烃,正构、异构烯烃,环烷烃,环烯烃和芳烃,然后利用程序升温,使各族组分再按碳数分离后进行定量分析。对标样的测定结果表明,组分质量分数可精确至0.01%,加标回收率为99.7%～108.6%,相对标准偏差为0.24%～1.40%。     

Self‐adaptive 3D pairwise view registration by surface‐fitting and hill‐climbing method

A self‐adaptive 3D pairwise view registration method is presented. Coarse registration of neighboring views is achieved according to their common continuous nonflat areas. These areas are calculated by local least‐square (LS) surface fitting. Then, the principle of point‐to‐surface projection is used to search for the corresponding points, where the local moving least‐square (MLS) surface is employed. Finally, multidimensional optimization based on the technique of hill‐climbing is performed to refine the coarse registration. Experimental results show that this method gives good noise immunity and requires simple computation process and very few manual interventions. Thus it is suitable for large‐scale free‐form surfaces lacking obvious geometric characteristics. © 2014 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.     

多通道信号自校正分布式融合Kalman滤波器

对带未知参数的多传感器多通道自回归滑动平均(ARMA)信号,采用多维递推辅助变量(MRIV)方法得到自回归模型参数估值,通过Gevers-Wouters算法辨识滑动平均模型参数估值,再用相关方法得到噪声方差的估值。把所有的估值都代入到最优分布式融合信息滤波器中得到自校正分布式融合Kalman信息滤波器。该滤波器具有渐近全局最优性,一个多通道信号仿真例子验证了其有效性。     

SANAA的转身——比较法视点下劳力士研修中心(Rolex Learning Center)之“变”

本文从分析Rolex Learning Center的创作背景入手,透视出其在"Super Flat"思潮影响下的建筑手法与反映、表现"不确定性"的建筑观。基于上述理论比较近期几个作品,讨论SANAA提供新建筑形制和体验的思考过程,揭示了"不确定性"在SANAA和库哈斯间的交集与差异,以及SANAA手法之变背后恒定不变的价值观。     

Toward a brief multidimensional assessment of emotional intelligence: Psychometric properties of the Emotional Quotient Inventory—Short Form.

Although several brief instruments are available for the emotional intelligence (EI) construct, their conceptual coverage tends to be quite limited. One notable exception is the short form of the Emotional Quotient Inventory (EQ-i:S), which measures multiple EI dimensions in addition to a global EI index. Despite the unique advantage offered by the inventory, psychometric properties of the EQ-i:S scores have not yet been systematically evaluated. Such an evaluation was the main goal of the present investigation. Using data from 2,508 undergraduates, the authors conducted 2 studies involving factor structure, internal reliability, 6-month temporal stability, and construct validity of the EQ-i:S responses, both for the total EQ scale and for each constituent dimension. The results supported the multidimensional measurement structure of the EQ-i:S, with each dimension producing internally consistent, temporally stable, and theoretically meaningful responses. Scores on the EQ-i:S were associated more strongly with performance on an ability test of EI and with a conceptually similar construct of alexithymia than with the broader dimensions of basic personality and explained nontrivial amounts of incremental variance in the criterion symptoms of attention deficit/hyperactivity disorder. Moreover, scores on each EQ-i:S dimension exhibited unique patterns of associations with the validation variables. The discussion highlights the advantages of the multidimensional approach in the assessment and study of EI. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

AN OPINION FEATURE EXTRACTION APPROACH BASED ON A MULTIDIMENSIONAL SENTENCE ANALYSIS MODEL

With Web 2.0 applications being widely used, social networking services, including web blogs, forums, and other online communities, have become informative tools that help individuals to easily gauge the pulse of the electronic consuming market. As a substitute for traditional public media, the related site provides unique mechanisms to instantly reveal the degree of public product acceptance by either statistically aggregating the rating results or archiving opinions shared by experienced customers. However, the growth of user-generated information and its scattered unstructured contents is overwhelming to users, thereby triggering the demand for a more efficient system that can offer concise information. Most existing efforts dedicated to these issues may neglect vital aspects of the sentence-level context. This article aims to explore the critical features hidden in the sentential structure of opinion articles and expects that the detected patterns may contribute to the enhancement of related applications. Accordingly, a multidimensional sentence modeling algorithm (MSMA) is designed to evaluate various sentential characteristics and adopt a genetic algorithm to optimize the weighting scheme while determining feature importance. The study also makes use of the public knowledge resource Wikipedia as a global reference to fine-tune the feature set's effectiveness and enhance the overall performance of this framework. The results of experiments on an electronic product data set demonstrate that the proposed method is promising and provides significant improvement over previous studies.     

用DTM拟合GPS水准似大地水准面及其效果分析

介绍了使用CASS软件创建高程异常的地面数字模型并绘制等值线图拟合GPS水准的似大地水准面的方法,通过与多种曲面拟合方法比较验证了DTM法具有良好的拟合效果,非常便于工程实际使用。     

不均匀布置传感器网络定位优化算法

目前许多针对传感器网络的定位算法仅适用于节点分布比较均匀的网络,在不均匀网 络中应用时定位精度较低。而在实际应用中,由于监测区域地形或应用需求等因素的限制,网络中 节点的分布往往是不均匀的。引入虚拟空洞以实现节点间的距离优化,并结合多维定标技术,提出 一种可应用于不均匀布置网络的定位算法(MDS-DO). 在半C 型节点布置区域内,对该算法的节 点定位效果进行了仿真分析。结果表明,在不同节点数量及连通度的情况下,MDS-DO 算法都能取 得较好的定位效果。而且在连通度较高的条件下,MDS-DO 算法的平均定位误差比经典的MDS- MAP 算法降低了约90%.     

使用标准SQL实现多维关联规则的挖掘

关联规则是数据挖掘中一种重要的模式,本文讨论了利用结构化查询语言(SQL)进行多维关联规则挖掘的相关问题,并给出了一种实现算法.