cheat-engine-master

汉字屏显示实例，可以学习屏幕的使用，以及汉字的显示，(Chinese screen display examples)

这是一个ASIIC吗转换程序，可以随意转换ASSIIC码，10进制码，16进制码。很好用。-ASIIC? Switching procedures can arbitrarily change ASSIIC code, code 229 10. 16 hex code. Good use.

根据XML文件获取相应的辐射定标系数，只针对GF1和GF2(Obtain the corresponding radiometric calibration coefficients according to the XML file, only for GF1 and GF2)

说明：  半监督SVM能够高效 快速的实现对数据的分类，具有极高的效率，是非常好的资源(Semi-supervised SVM can efficiently and quickly classify data, has high efficiency, and is a very good resource.)

一个用Dreamweaver制作的留言本，可以进行留言，是一个不错的留言本！-a production of the messages, voice mail can be a good message this!

说明：  The datatypes MPI_BYTE and MPI_PACKED do not correspond to a Fortran or C datatype. A value of type MPI_BYTE consists of a byte (8 binary digits). A byte is uninterpreted and is different from a character. Different machines may have different representations for characters

ay emulator1 code in c language

用C语言产生一个模拟的泊松分布随机参数。(this is a poisson disturetion of C)

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.)

calculate wear the subroutine coded by Fortran and can be used for the 2D model and useful for the wear calculation