SSA

axure元件库，用于设计原型。解压后导入即可使用。(Axure component library for prototype design. After decompression, it can be imported and used.)

Arduino-STM32 lib for LCD LS020

Database for wago PLC controller

电话PSTN线路上FSK处理软件-PSTN phone line on FSK processing software. . . . . . . . .

桌面弹球是游戏中常见的游戏，从以前的掌上游戏机到如今的手机游戏，都是一个十分经典的游戏。玩家控制一个可以左右移动的挡板去改变运动中小球的移动方向，目的是用小球消除游戏屏幕中的所有障碍物到达下一关，在障碍物被消除的过程中，可能会产生一些能改变挡板或者小球状态的物品，例如：挡板变长、变短，小球威力加强等等。本章主要介绍如何实现一个简单的弹球游戏，让读者了解“动画”的实现原理。(Desktop pinball game is common in game, from the previous game boy to today s mobile games, is a very classic game players control a can move around the damper to change the ball movement direction of the movement, the purpose is to use the ball game screen to eliminate all the obstacles and reach the next level, in the process of obstacle is eliminated, may produce some can change baffle or ball state items, such as: baffle get long become short, ball power to strengthen and so on this chapter mainly introduces how to realize a simple pinball game, let the reader know animation principle )

使用分支限界算法解决最优装载问题，是算法分析与设计的经典。-Using the branch and bound algorithm to solve the optimal loading problem is a classic algorithm analysis and design.

toyota erc kalkulator.

sierpinski common fractals

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(Particle swarm optimization (PSO), also called particle swarm optimization (Particle Swarm Optimization), is abbreviated as PSO, which is a new evolutionary algorithm (Evolutionary Algorithm EA) developed in recent years. PSO algorithm is a kind of evolutionary algorithm. It is similar to simulated annealing algorithm. It also starts from the random solution and finds the optimal solution by iteration. It also evaluates the quality of the solution through fitness, but it is simpler than the genetic algorithm rule. It does not have the crossover (Crossover) and the Mutation operation of genetic algorithm. Search for global optimum. This algorithm has attracted the attention of the academic community for its advantages of easy realization, high accuracy and fast convergence, and has shown its superiority in solving practical problems. Particle swarm optimization (PSO) is a parallel algorithm.)

摩擦摩擦仿真，模拟的滑道与滑块组件间的摩擦行为(simulation of friction and wear)