音频水印

向现有测试添加参数，弹出窗口会自动匹配您指定的任何数据类型。自然会有一个标记名和数据类型之间的转换表。为了方便起见，我只使用了数据类型作为标记名。(Add parameters to existing tests, the popup automatically matches whatever data type you specified. Naturally one would have a conversion table between tag name and data type. For convenience I just used the data type AS the tag name.)

通过加截特殊字符，自定义LED字体效果，内附LED字体文件，可直接运行(Custom LED font effect)

Program for 3 phaze power meeter

基于stc15f2k60s2的手柄控制电机程序(Handle Control Motor Program Based on stc15f2k60s2)

说明：  dispenser source device code

说明：  用matlab实现区块链，其中包括挖矿、哈希函数、创建区块，连接成链等过程(Matlab block chain, including mining, hash function, block creation, link into the chain process)

LABVIEW中字符串，簇，数组等功能的使用例子-LABVIEW in strings, clusters, an array of features such as the use of examples

有限元MATLAB程序，残余重量法的程序。(Finite element MATLAB program)

粒子群算法，也称粒子群优化算法或鸟群觅食算法（Particle Swarm Optimization），缩写为 PSO， 是由J. Kennedy和R. C. Eberhart等开发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 known as Particle Swarm Optimization (PSO), is a new evolutionary algorithm developed by J. Kennedy and R. C. Eberhart. PSO is a kind of evolutionary algorithm, which is similar to simulated annealing algorithm. It starts from random solution and searches for the best solution by iteration. It also evaluates the quality of solution by fitness. But it is simpler than genetic algorithm rules. It has no Crossover and Mutation operation of genetic algorithm. As a result, it searches for global optimum by following the optimal value currently searched. This algorithm has attracted the attention of academia for its advantages of easy implementation, high accuracy and fast convergence, and has shown its superiority in solving practical problems. Particle swarm optimization is a parallel algorithm)

this paper is about plasmonics in fluids.