NEOSAT BOOT LOGO CHANGER

该程序可以实现快速的点云的模糊C均值聚类，并且可以利用第二个命令对聚类后的点云进行自动提取。(The program can realize fast clustering of point clouds based on fuzzy C-means, and automatically extract the clustered point clouds by using the second command.)

input source code of your wish hghggjr

说明：  二自由度机器人的模糊pid控制，效果跟pid控制差不多(The fuzzy PID control of two degree of freedom robot has the same effect as PID control)

说明：  基于AT89C51单片机设计制作一个抢答器，具体要求如下： 1、 设计一个智力竞赛抢答器，可同时共8名选手参加比赛，编号为1、2、3、4、5、6、7、8，各用一个按键。 2、 用一个按键作为主持人总开关，用来控制系统的清零和抢答的开始。 3、 抢答器开始后，数码管开始10秒倒计时，若有选手按动抢答按钮，在LED数码管上显示选手的编号，同时灯亮且伴随声音提示；倒计时完成后，选手不能在抢答；有人抢答成功后，要禁止其他选手抢答；最先抢答选手的编号一直保留到主持人将系统清零。(Based on AT89C51 single chip computer, a rush answerer is designed and manufactured. The specific requirements are as follows: 1. Designing an intelligence contest answering machine, which can be attended by 8 competitors at the same time, numbered 1, 2, 3, 4, 5, 6, 7 and 8, each with a button. 2. A key is used as the master switch of the host, which is used to clear the zero of the control system and start the rush response. 3. After the answering machine starts, the digital tube counts down 10 seconds. If a player presses the answering button and displays the player's number on the LED digital tube, the light is on and accompanied by sound prompts. After the countdown is completed, the competitor can't rush to answer. When someone rushes to answer successfully, other competitors are forbidden to rush to answer. The number of the first competitor is kept until the host clears the system.)

数电交通灯：东西方向为主干道，绿灯亮30秒，红灯亮20秒，黄灯5秒；南北方向为支干道，绿灯20秒，红灯30秒，黄灯5秒。-failed to translate

Quectel_MC60_Hardware_Design New

说明：  C API programming examples

一个用于开关状态显示的控件，主要用于电力系统！-A status display for switch control, mainly used in power system!

说明：  un programa llamado Reg Cool

说明：  蝗虫算法：蝗虫优化算法是模拟自然界蝗虫种群捕食行为而提出的一种群智能优化算法,主要利用了蝗虫间的社会作用力把空间分为吸引空间、舒适空间和排斥空间,根据不同蝗虫间距离大小的变化来改变空间范围从而找到最优位置。该算法具有结构简单、稳定性强、参数较少、收敛较快等特点。(The locust optimization algorithm is a swarm intelligence optimization algorithm proposed by simulating the predation behavior of locust populations in nature. It mainly uses the social force between locusts to divide the space into attractive space, comfortable space and repulsive space, according to the changes in the distance between different locusts. Change the spatial range to find the optimal position. The algorithm has the characteristics of simple structure, strong stability, fewer parameters and faster convergence.)