NMI

Using the L system method of fractal to draw the tree and plants

FGM薄板有限元程序（应力矩阵的简化程序）(failed to translate)

卡尔曼滤波器的操作包括两个阶段:预测与更新。在预测阶段,滤波器使用上一状态的估计,做出对当前状态的估计。在更新阶段,滤波器利用对当前状态的观测值优化。(Kalman filter operation consists of two stages: prediction and update. In the prediction stage, the filter is estimated using the previous state, to make an estimate of the current state. In the update phase, the filter use observations on the current state of the optimization.)

matlab gui设计例程，很全面，希望能对你有所帮助(matlab gui design routines, it is full, I hope you can help)

Nakagami distribution simulation with theoretical comparison

基于快速傅里叶变换的GUI设计，能对多个输入序列进行FFT分析，并在画面上显示出输入信号，经过FFT处理，经过IFFT处理的信号波形(GUI design based on the fast Fourier transform, FFT analysis of a plurality of input sequences, and displayed on the screen of the input signal after FFT processing, the signal waveform after the IFFT processing)

Abstract—Demand Response (DR) and Time-of-Use (TOU) pricing refer to programs which offer incentives to customers who curtail their energy use during times of peak demand. In this paper, we propose an integrated solution to predict and re-engineer the electricity demand (e.g., peak load reduction and shift) in a locality at a given day/time. The system presented in this paper expands DR to residential loads by dynamically scheduling and controlling appliances in each dwelling unit. A decision-support system is developed to forecast electricity demand in the home and enable the user to save energy by recommending optimal run time schedules for appliances, given user constraints and TOU pricing the utility company. The schedule is communicated to the smart appliances over a self-organizing home energy network and d by the appliance control interfaces developed in this

在普通无权网络基础上定义加权结构熵，即用来计算赋权网络的结构熵(The weighted structure entropy is defined on the basis of the ordinary unauthorized network, that is, the structural entropy used to calculate the weighted network.)

matlab code of ABC algorithm

复杂网络度分布计算， 求网络图中各节点的度及度的分布曲线(The complexity of the distributed computing network)