基于用户兴趣模型的智能信息检索系统技术与实现

PCSICE是一个面向Internet的智能信息检索系统。该系统采用分布式智能体技术、用户兴趣学习算法和基于使用的聚类算法 ,有效地解决了现有系统在交互方式、自适应用户兴趣等方面的不足 ,满足人们在信息浏览时的个性化要求。该系统普遍适用于Internet、远程教育等分布式系统中的信息检索     

游泳运动中静态阻力的数值模拟

针对前人对游泳运动中静态阻力的研究都是根据试验测量来进行的,引入一种新的分析方法--计算流体力学法,通过该方法,先建立人体简化几何模型,然后计算不同来流速度条件下处于水平俯卧状态下人体模型所受到的阻力,即静态阻力,同时计算静态阻力系数,并与前人的实验结果做对比分析.     

基于主成分分析法的科技期刊评价方法

针对目前科技期刊评价方法中存在的指标之间相关性问题和指标权重选取问题,提出了基于主成分分析的科技期刊评价方法.该评价方法通过相关系数矩阵的特征向量将评价指标线性变化成彼此独立的主成分,根据主成分累计贡献值确定主成分的取用维数,由主成分方差确定权重.其优点是:可以消除由于指标间的相关性带来的偏差,降低计算维数,从而降低指标选择的难度,提高评价结果的可信度;此外,可以消除人为确定指标权重引起的弊病,使评价结果更具客观性和准确性.     

Hierarchical clustering of a Finnish newspaper article collection with graded relevance assessments

Search facilitated with agglomerative hierarchical clustering methods was studied in a collection of Finnish newspaper articles (N = 53,893). To allow quick experiments, clustering was applied to a sample (N = 5,000) that was reduced with principal components analysis. The dendrograms were heuristically cut to find an optimal partition, whose clusters were compared with each of the 30 queries to retrieve the best-matching cluster. The four-level relevance assessment was collapsed into a binary one by (A) considering all the relevant and (B) only the highly relevant documents relevant, respectively. Single linkage (SL) was the worst method. It created many tiny clusters, and, consequently, searches enabled with it had high precision and low recall. The complete linkage (CL), average linkage (AL), and Ward's methods (WM) returned reasonably-sized clusters typically of 18–32 documents. Their recall (A: 27–52%, B: 50–82%) and precision (A: 83–90%, B: 18–21%) was higher than and comparable to those of the SL clusters, respectively. The AL and WM clustering had 1–8% better effectiveness than nearest neighbor searching (NN), and SL and CL were 1–9% less efficient that NN. However, the differences were statistically insignificant. When evaluated with the liberal assessment A, the results suggest that the AL and WM clustering offer better retrieval ability than NN. Assessment B renders the AL and WM clustering better than NN, when recall is considered more important than precision. The results imply that collections in the highly inflectional and agglutinative languages, such as Finnish, may be clustered as the collections in English, provided that documents are appropriately preprocessed.     

情报检索系统用户相关性判断的灰色聚类决策

所谓灰色聚类决策,就是按多个不同的决策指标对决策对象进行综合评价,以确定决策对象是否满足给定的取舍原则。该方法可以用于对情报检索系统的检索结果进行相关性判断。参考文献4。     

我国期刊集群的研究进展与发展态势——基于共词分析方法

期刊集群是国际期刊业的重要发展趋势,也是提升我国期刊整体水平的正确方向,理解和把握期刊集群的研究热点和发展态势是做好期刊集群理论创新和实践应用的关键问题。基于共词分析法,研究我国期刊集群领域学术论文的整体概况、高频     

影响雪与滑板摩擦系数的几种因数的研究

介绍了雪与滑板的测量系统和利用单片机对数据采集系统。为了提高实验精度,对光电门进行了改进,大大缩短了电平跳变时间,同时对雪与滑板之间的摩擦系数作了比较系统的实验研究。实验结果为制作雪的模型材料提供了基本依据。     

Comparing the magnitude and direction of asymmetry during the squat,countermovement and drop jump tests in elite youth female soccer players

ABSTRACT

The aims of the present study were to provide an in-depth comparison of inter-limb asymmetry and determine how consistently asymmetry favours the same limb during different vertical jump tests. Eighteen elite female under-17 soccer players conducted unilateral squat jumps (SJ), countermovement jumps (CMJ) and drop jumps (DJ) on a portable force platform, with jump height, peak force, concentric impulse and peak power as common metrics across tests. For the magnitude of asymmetry, concentric impulse was significantly greater during the SJ test compared to CMJ (p = 0.019) and DJ (p = 0.003). No other significant differences in magnitude were present. For the direction of asymmetry, Kappa coefficients revealed fair to substantial levels of agreement between the SJ and CMJ (Kappa = 0.35 to 0.61) tests, but only slight to fair levels of agreement between the SJ and DJ (Kappa = ?0.26 to 0.18) and CMJ and DJ (Kappa = ?0.13 to 0.26) tests. These results highlight that the mean asymmetry value may be a poor indicator of true variability of between-limb differences in healthy athletes. The direction of asymmetry may provide a useful monitoring tool for practitioners in healthy athletes, when no obvious between-limb deficit exists.     

Components of Variance of Scales With a Bifactor Subscale Structure From Two Calculations of α

Since Cronbach's (1951) elaboration of α from its introduction by Guttman (1945), this coefficient has become ubiquitous in characterizing assessment instruments in education, psychology, and other social sciences. Also ubiquitous are caveats on the calculation and interpretation of this coefficient. This article summarizes a recent contribution (Andrich, 2015) on the use of coefficient α which complements these many caveats. It shows that in the presence of a simple bifactor structure of a scale where unique components of variance are homogeneous in magnitude, three components of variance and the common latent common correlation among the subscales can be calculated from the ratio of two calculations of α, one at the level of the items, the other at the level of the subscales. It was suggested that these two ready calculations and their interpretation, and the reporting of all four indices in the analysis of scales with a subscale structure, would reduce the misinterpretation of this coefficient. An illustrative example of the application of the calculations is also shown.     

城市化水平的聚类和因子分析

运用聚类分析模型和因子分析方法，对长三角地区16个城市在10个经济指标变量上的样本数据进行了分析，从量和质的角度综合评价了各城市的城市化的水平。