pushlet

一个老牌的UCDOS中文操作系统, 解开考到C：就可直接用。-UCDOS a veteran of the Chinese operating system, solved entered C : can be used directly.

机器学习实战，主要介绍机器学习的内容，使用python作为源代码语言(machine learning in action)

迅雷，工具大家都很清楚的，-Thunderbolt, tools, we are all very clear, after another Ding Ding Ding Ding Ding Ding

类似祖玛的一个游戏，值得一看哦！给出例子，求出最优解！-It is a game,very well!

1. 进入START > Programs > ANSYS 10.0 > Ansys Product Luncher 2. 单击Launch 标签，选择ANSYS Simulation Environment 和授权 3. 单击File Management标签，输入工作目录和作业名 (1 Go to START> Programs> ANSYS 10.0> Ansys Product Luncher 2. Click the Launch tab, select ANSYS Simulation Environment and authorization 3 Click File Management tab, enter the working directory and job name)

用C语言编写的堆栈接口，适用于各种环境，提供接口： STACK *initStack(int MaxRoom) void destroyStack(STACK **spp) void resetStack(STACK *sp) Boolean isStackEmpty(STACK stack) Boolean isStackFull(STACK stack) Boolean push(STACK *sp, USER_TYPE data) Boolean pop(STACK *sp, USER_TYPE *data) Boolean readTop(STACK stack, USER_TYPE *data) (C language implementation of the stack)

对DSPcache利用率的分析方法，使用ccs3.0的技巧，给予c6455为例子。-DSPcache utilization of the analytical method, the use of ccs3.0 skills, c6455 given as examples.

说明：  插入cohesive单元, 便于用户在ABAQUS使用时方便插入cohesive单元材料(insert cohesive element)

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.)

说明：  利于MATLAB实现OFDM的发送和接收，具体过程发送端先通过QPSK调制，之后进行IFFT变换，然后再添加循环前缀，接收端是一个逆过程。该程序还有另外一个的功能是信道估计，最小乘与卡尔曼滤波器的比较。(MATLAB is helpful to realize the sending and receiving of OFDM. The sending end of the specific process is firstly modulated by QPSK, followed by IFFT transformation, and then cyclic prefix is added. The receiving end is an inverse process. Another function of the program is channel estimation, least - multiplication and kalman filter comparison.)