天然汞的全套中子数据评价

在１０￣（－５）＿ｅＶ－２０ＭｅＶ中子能量范围内对天然汞的中子核数据进行评价。评价内容包括总的、弹性、去弹、总非弹、３０条分立能级、连续非弹、（ｎ，２ｎ）、（ｎ，３ｎ，）、（ｎ，ｎ＇Ｐ）、（ｎ，ｎ＇α）、（ｎ，Ｐ）、（ｎ，α）、（ｎ，ｄ）、（ｎ，ｔ）和（ｎ，γ）截面；次级中子角分布；双微分截面（ＤＤＣＳ）；γ射线产生数据等。评价根据有效实验数据（至１９９３年）和ＵＮＦ－９２￣［１］理论计算。评价数据以ＥＮＤＦ／Ｂ６格式录入中国评价核数据库ＣＥＮＤＬ－２．１版（ＭＡＴ＝１８００），并提供核工程有关部门使用。     

一个高电阻值测量电路

介绍一种新的高阻测试方法，可满足对高达１×１０＾１６Ω的测试要求。测试结果显示，对于１×１０＾１３Ω重复误差优于±２％。高阻测试电路通过接口与６８０９微机配套使用，操作简便，读数直观，便于长时间重复测量。     

网上购物系统数据库与数据仓库的比较分析

比较了数据库及数据仓库,通过网上购物系统平台的研究,分析了两者在数据信息处理中的异同,从而达到让网上购物更加完善、更加便捷地为用户服务的目的。     

Where does the end begin? Problems in musico-cognitive modeling

Research with computer systems and musical grammars into improvisation as found in the tabla drumming system of North India has indicated that certain musical sentences comprise (a) variable prefixes, and (b) fixed suffixes (or cadences) identical with those of their original rhythmic themes. It was assumed that the cadence functioned as a kind of target in linear musical space, and yet experiments showed that defining what exactly constituted the cadence was problematic. This paper addresses the problem of the status of cadential patterns, and demonstrates the need for a better understanding and formalization of ambiguity in musico-cognitive processing. It would appear from the discussion that the cadence is not a discrete unit in itself, but just part of an ever-present underlying framework comprising the entire original rhythmic theme. Improvisations (variations), it is suggested, merely break away from and rejoin this framework at important structural points. This endorses the theory of simultaneity. However, the general cognitive implications are still unclear, and further research is required to explore musical ambiguity and the interaction of musical, linguistic, and spatio-motor grammars.     

A weighted multivariate Fuzzy C-Means method in interval-valued scientific production data

Clustering is the process of organizing objects into groups whose members are similar in some way. Most of the clustering methods involve numeric data only. However, this representation may not be adequate to model complex information which may be: histogram, distributions, intervals. To deal with these types of data, Symbolic Data Analysis (SDA) was developed. In multivariate data analysis, it is common some variables be more or less relevant than others and less relevant variables can mask the cluster structure. This work proposes a clustering method based on fuzzy approach that produces weighted multivariate memberships for interval-valued data. These memberships can change at each iteration of the algorithm and they are different from one variable to another and from one cluster to another. Furthermore, there is a different relevance weight associated to each variable that may also be different from one cluster to another. The advantage of this method is that it is robust to ambiguous cluster membership assignment since weights represent how important the different variables are to the clusters. Experiments are performed with synthetic data sets to compare the performance of the proposed method against other methods already established by the clustering literature. Also, an application with interval-valued scientific production data is presented in this work. Clustering quality results have shown that the proposed method offers higher accuracy when variables have different variabilities.     

利用C++Builder对处理ESCR数据方法的改进

介绍一种利用C＋＋Builder编程工具自动处理聚乙烯环境应力开裂(ESCR)试验数据的方法。此方法利用计算机简化试验数据的处理过程,消除标准试验方法中作图法所引入的人为误差,并可以大幅度缩短试验时间。     

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%。     

企业各软件的数据共享和整合分析浅谈

本文主要根据大多数企业存在各种软件各自独立运行,各软件之间数据不能相互共享,一些旧软件或不适用的软件与目前主流操作系统不兼容等问题,分析问题并用接口和整合方法解决,此平台利用云计算技术,解决大多数企业建设信息平台投资大的问题,同时方便企业使用和维护.     

改进的APRIORI算法在试卷系统数据挖掘中的应用

本文通过对数据挖掘技术的研究,采用关联规则法对学生答题数据进行分析,并在关联规则使用中采用改进型的Apriori算法进行运算,构建高频集,并对于高分学生和低分学生的试卷进行了加权处理,使得高频集中的试题在知识点和难度上的关联更加突出,便于在自动组卷时更科学地评价试卷.