新建文件夹

使用方法： 1。依次引入 nav.css 、jQuery 脚本库以及 jquery.nav.js 文件； 2。复制代码到页面中即可。 备注： 1。可在代码中的 nav( ) 括号里进行设置，其中：（1 秒 = 1000 毫秒）(Usage method: 1. Nav.css, jQuery script library and jquery.nav.js file are introduced in turn. 2. Copy the code to the page. Remarks: 1. It can be set in nav () brackets in Code: (1 seconds = 1000 milliseconds).)

提供使用扩展内存XMS完成大数组的类-for use XMS memory expansion to be completed array of categories

Jbuilder实现的一个三维动画演示系统！已经通过调试演示！-Jbuilder achieve a 3D animation demonstration system! Has been demonstrated through testing!

说明：  MAX最新的计时芯片，可以用在气体计量上，单芯片集成度很高。(MAX's latest timing chip can be used in gas meter, with a high degree of integration on a single chip.)

用于启动界面的制作，以及对于词法的分析，很实用的东西(Interface used to start production, as well as for lexical analysis, a very practical things)

用于2维的射线追踪，也可以用于地震资料的层析成像(For 2-dimensional ray tracing, seismic data can also be used for the tomographic imaging)

说明：  VGG16分类网络,可以用于分类问题，采用了迁移学习(VGG16 classification net)

用c写的导弹打飞机，研究追踪问题-written with a missile attack against aircraft, tracing study

提出了一种自动构造特定领域本体的方法，该方法应用术语抽取和多重聚类技术。在术语抽取阶段，通过术语在专业语料与背景语料中出现概率的对比，采用LLR公式对术语进行评分，取得了更好的抽取效果。在层级关系发现过程中，采用上下文共现信息结合HowNet中词语的语义相似度，进行术语间相似度度量，力求获得术语间最合理的相关状况。同时改进了k-medoids聚类算法，更准确地发现术语的层级关系，进而构造出特定领域的本体。(This paper presents an approach to mining domain-dependent ontologies using term extraction and relationship discovery technology.There are two main innovations in the approach. One is extracting terms using log-likelihood ratio, which is based on the contrastive probabilityofterm occurrence in domain corpus and background corpus. The other is fusing together information from multiple knowledge sources as evidencesfor discovering particular semantic relationships among terms. In the experiment, traditional k-mediods algorithm is improved for multi-levelclustering. The approach to produce an ontology for the domain of computer science is applied and promising results are obtained.)

Iocmp控件库的vb例程,有60多个源程序代码,不错的,(Iocmp controls of the vb routines, there are more than 60 source code, good,)