为TP801单板机增加测频功能

电信号的频率是主要参数之一，对它的测量很重要，方法也很多。目前绝大多数采用数字式硬件电路来完成。但由于２８０—ＣＰＵ微处理器运算速度快，控制能力强，据测频原理，可采用软件秒脉冲和软硬件计数器来实现对频率的测量，为ＴＰ８０１单板机增加了测量功能，可一机多用。     

一种基于一元插值的网格化方法

针对地质数据点的空间分布特点，提出了一种一元网格化方法，探讨了几种常用一元插值方法的应用，并与Ｎ－Ｐ法进行了对比，说明了一元网格化方法的特点．     

浅议物理实验教学环节改革

为进一步提高大学物理实验的教学质量，本文就实验课的预习、操作、实验报告的撰写及考核方法进行了探讨。     

农村电网远程监测系统的设计

介绍了农村电网远程监测系统的设计方案,阐述了其系统结构及总体功能,重点介绍了用于该系统的嵌入式网络服务器的设计及通信软件的设计以及该系统所涉及的数据采集技术、实时网络通信技术等。     

Recent developments in the statistical processing of textual data

Statisticians are accustomed to processing numerical, ordinal or nominal data. In many circumstances, such as socio-economic, epidemiologic sample surveys and documentary data bases, this data is juxtaposed with textual data (for example, responses to open questions in surveys). This article presents a series of language-independent procedures based upon applying multivariate techniques (such as correspondence analysis and clustering) to sets of generalized lexical profiles. The generalized lexical profile of a text is a vector whose components are the frequencies of each word (graphical form) or ‘repeated segment’ (sequence of words appearing with a significant frequency in the text). The processing of such large (and often sparse) vectors and matrices requires special algorithms. The main outputs are the following: (1) printouts of the characteristic words and characteristic responses for each category of respondent (these categories are generally derived from available nominal variables); (2) graphical displays of the proximities between words or segments and categories of respondents; (3) when analysing a combination of several texts: graphical displays of proximities between words or segments and each text, or between words or segments and groupings of texts. The systematic use of ‘repeated segments’ provides a valuable help in interpreting the results from a semantic point of view.     

知识库中精确知识的判定算法

研究了知识库中挖掘它所包含的精确知识的方法，给出知识库的相关概念及精确知识的定义，讨论了一种在所定义的知识库中提取并判定精确知识的算法．     

Reformulation of the support set selection problem in the logical analysis of data

The paper is concerned with the problem of binary classification of data records, given an already classified training set of records. Among the various approaches to the problem, the methodology of the logical analysis of data (LAD) is considered. Such approach is based on discrete mathematics, with special emphasis on Boolean functions. With respect to the standard LAD procedure, enhancements based on probability considerations are presented. In particular, the problem of the selection of the optimal support set is formulated as a weighted set covering problem. Testable statistical hypothesis are used. Accuracy of the modified LAD procedure is compared to that of the standard LAD procedure on datasets of the UCI repository. Encouraging results are obtained and discussed.     

The crystal structure on the set of Mirkovi?-Vilonen polytopes

In an earlier work, we proved that MV polytopes parameterize both Lusztig's canonical basis and the Mirkovi?-Vilonen cycles on the affine Grassmannian. Each of these sets has a crystal structure (due to Kashiwara-Lusztig on the canonical basis side and due to Braverman-Finkelberg-Gaitsgory on the MV cycles side). We show that these two crystal structures agree. As an application, we consider a conjecture of Anderson-Mirkovi? which describes the BFG crystal structure on the level of MV polytopes. We prove their conjecture for sln and give a counterexample for sp₆. Finally we explain how Kashiwara data can be recovered from MV polytopes.     

基于VFP的高校教师信息管理系统的设计与实现

介绍了一种利用VFP应用程序开发工具和面向对象的编程方法设计的一套方便快捷的教师信息管理系统，重点介绍了教师信息管理系统的功能及其设计和实现方法。