_06_-Jeong-Hyun-Lee..

凸轮轮廓的设计计算与绘图 计算此结构的最优化参数(Cam profile design calculation and drawing to calculate the optimal parameters of the structure)

this program solves an Income Fluctuation Problem requires obj.m function which is the RHS of the Bellman equation as a function of c=consumption and x=cash in hand

A Simple RBF Matlab Implementation

打靶法的再解微分方程中的应用。主要用来处理边值问题。(Re-shooting method of solving differential equations. Mainly used to deal with boundary value problems.)

说明：  设计一个采样数字处理方案利用FFT检测该类信号。(Design a sampling program of the digital processing of such signals using FFT testing.)

Research Paper on TINY LAB based on MATLAB

复杂网络的MATLAB仿真，有AB和BA模型，WS和NW小世界模型，并对他们的统计特征进行分析比较(MATLAB simulation of complex networks, with AB and BA model, WS and NW small-world model, and their statistical analysis and comparison of features)

说明：  matlab的基本例题的知识内容，一些常见的编程都包含，请参考(matlab basic example of the intellectual content of some common programming are included, please refer to)

仿真程序：首先需要用一个随机发生器产生（0.1）内的均匀随机数，然后再将该序列映射到对应的幅度电平｛Am｝。然后将这个范围再分成4个相等的区间，这些子区间分别对应于4个信号比特的符号00，01，10，11。检测器观察到r=Am+n，并且计算r和4种可能传输的信号幅度之间的距离，它的输出Bm就是相应于最小距离的信号电平。Bm与真正的的传输信号幅度比较，差错计数器用来对检测器产生的差错计数。(Simulation program: first need to use a random generator (0.1) the uniform random number, then the sequence is mapped to the corresponding amplitude level {Am}. Then this range has been divided into four equal intervals, these sub-intervals corresponding to four signal bits of the symbol 00,01,10,11. Detector observed r = Am+ n, and calculate r and 4 possible transmission distance between the signal amplitude, its output corresponding to the minimum distance Bm is the signal level. Bm and the real rate of transmission of the signal comparison, error detection counter is used to generate the error count.)

This paper presents a new method to solve the network reconfiguration problem in the presence of distributed generation (DG) with an objective of minimizing real power loss and improving voltage profile in distribution system. A meta heuristic Harmony Search Algorithm (HSA) is used to simultaneously reconfigure and identify the optimal locations for installation of DG units in a distribution network. Sensitivity analysis is used to identify optimal locations for installation of DG units. Different scenarios of DG placement and reconfiguration of network are considered to study the performance of the proposed method. The constraints of voltage and branch current carrying capacity are included in the uation of the objective function. The method has been tested on 33-bus and 69-bus radial distribution systems at three different load levels to demonstrate the performance and effectiveness of the proposed method. The results obtained are encouraging.