proje

Dynamic job shop scheduling problem is one form of a job shop scheduling problem with varying arrival time job or not concurrent. This problem can be represented in graph form, which is to seek the shortest path from start point to destination point. One solution that can be used is with the ant colony optimization algorithm. There are three method to input the job : xls file, matriks, and atrractive dialog.

An ideal AC power transmission is pure sinusoidal, both its voltage and its current. With the increasing production of modern industry, more and more power electronic equipments are used and cause serious current distortion because of open and close of power electronic devices. Harmonic, a measurement of distorted degree of voltage or current, reflects the deviation from sinusoidal wave.

matlab 绘制洛伦兹模型的时域和相空间吸引子(matlab draw the Lorenz model in time domain and phase space attractor)

PDC齿测量齿面和齿侧的点确定切削齿的空间位置(cylinder circle norm line)

unipolar binary weighted

通信系统的自适应均衡器，能够恢复失真的PSK信号(Adaptive equalizer communication system, a PSK signal to recover distorted)

预测控制算法matlab仿真，采用的是二阶系统，本程序是动态矩阵控制的简单仿真(Predictive control algorithm matlab simulation, using the second-order systems, this procedure is a simple dynamic matrix control simulation)

Dc Converter Brushless motor

三次样条曲线，可以根据不同条件进行选择，包括边界条件等(Cubic spline curve can be selected according to different conditions)

针对mean shift 跟踪方法中存在的光照变化不稳定问题， 提出了基于梯度特征与彩色 特征相融合的mean shift 跟踪方法。首先分别提取目标的梯度特征和彩色特征，利用多尺度的相似度 计算方法进行特征的匹配，然后通过最大化相似度对目标进行跟踪。通过物体和人体等运动目标的跟 踪，验证了改进的跟踪算法在光照变化情况下的鲁棒性优于原有的算法，显著降低了跟踪位置误差。(The instability of the light changes in the mean shift tracking method, the mean shift tracking method based on gradient features and color characteristics of fusion. First extract gradient features and color features of the target, the similarity calculation method using multi-scale feature matching, and then maximize the similarity of the target track. Through the tracking of objects and people moving target, verify the robustness of the improved tracking algorithm in the case of illumination changes is better than the original algorithm significantly reduces the tracking position error.)