daqiMTF

进程操作的类,可以从进程名枚举进程PID,也可以从窗口标题查找,打开进程,读取长整型,写入长整型,读取字节数组,写入字节数组.压缩包内包含有一个破解示例,破解掉一个判断密码是否正确的程序(仅在内存中进行,不破坏原文件)(Process operations class, you can enumerate the process name from the process PID, you can search for the title from the window, open the process, read a long integer, write long integer, byte array to read, write byte array. Tarball sample contains a crack, break out a password to determine whether the correct procedure (only in memory, not a destruction of the original document))

二维的TM波打到一个方形的金属柱上，边界条件为PML(TM wave hit a two-dimensional square metal column, PML boundary conditions)

在EFI架構下寫一隻PPI sample(PEIM to PEIM Interface),使兩隻PEIM可透過此PPI互相傳遞資料. Write a PPI sample to make two PEIMs able to communicate each other.(Write a PPI sample to make two PEIMs able to communicate each other.)

Engineering anna university electronics department Engineering anna university electronics department

买原创力YCL2812开发板时，赠送的源程序，适合做数字信号处理的朋友参考，谢谢！ (Buy originality YCL2812 development board, the gift of the source, suitable for digital signal processing reference to a friend, thank you!)

利用Matlab RTW实现控制系统的仿真，使用VC++6.0开发。(Achieved using Matlab RTW control system simulation, using VC++6.0 development.)

接收来自下位机的数据,然后进行数据处理和通讯(From under the machine to receive data bit, and then data processing and communications)

支持向量机原理与仿真 (Support vector machine theory level simulation)

粒子群优化算法（PSO）是一种进化计算技术（evolutionary computation）,由Eberhart博士和kennedy博士于1995年提出 (Kennedy J，Eberhart R． Particle swarm optimization．Proceedings of the IEEE International Conference on Neural Networks．1995．1942~1948.)。源于对鸟群捕食的行为研究。粒子群优化算法的基本思想是通过群体中个体之间的协作和信息共享来寻找最优解． (Particle Swarm Optimization (PSO) is an evolutionary computation techniques (evolutionary co mputation) by Dr. Eberhart and kennedy Dr. raised in 1995 (Kennedy, J., Eberhart R. Particle swarm optimization.Proc eedings of the IEEE International Conference o n Neural Networks.1995.1942 ~ 1948.) . From the flock of the predatory behavior. PSO algorithm is the basic idea of individual groups through the sharing of information and collaboration to find the optimal solution.)

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