servo

graph cut segmentation method.

说明：  电网STATCOM模型，可以用RTDS打开(STATCOM model of the grid, can be opened with RTDS)

采用相场方法，进行枝晶生长计算-标记为相场动力学模型A。(calculation of dendrite growth-model A)

对SGY地震数据进行自相关和互相关分析并生成图件(Autocorrelation and cross-correlation analysis of SGY seismic data and generation of maps)

说明：  滑动轴承弹流润滑程序，压力，油墨厚度等等，十分方便(The elastohydrodynamic lubrication procedure, pressure, ink thickness and so on are very convenient)

说明：  对spwm进行仿真时的参数调整以达到实现变频调速仿真目的(Parameter adjustment in SPWM simulation to achieve the purpose of variable frequency speed control simulation)

说明：  ABS计算模型，动态仿真！模型模型模型模型模型模型模型模型(ABS calculation model, dynamic simulation! Model model model model model model model model)

说明：  本书全面叙述了智能控制的基本理论、方法和应用。主要内容包含专家控制的基本原理和应用；模糊控制的基本原理和应用；神经网络控制的基本原理和应用；遗传算法及其应用和迭代学习控制方法及其应用。书中给出了一些智能算法的Matlab仿真程序，并配有一定数量的习题和上机操作题。(This book comprehensively describes the basic theory, method and application of intelligent control. The main contents include the basic principles and applications of expert control; the basic principles and applications of fuzzy control; the basic principles and applications of neural network control; genetic algorithms and their applications and iterative learning control methods and their applications. The Matlab simulation program of some intelligent algorithms is given in the book, and it is equipped with a certain number of exercises and computer operation problems.)

该程序是利用Matlab编写，用于RVE单元。施加周期性边界可以根据源码进行学习PBC原理。(The program is written in Matlab and used in RVE unit. Periodic boundaries can be applied to learn PBC principles based on source code.)

在本文中，我们设计，实施和实验性地评估可扩展定向多播（SDM）技术，以1）通过部分遍历码本树以每波束每客户端RSSI测量来训练接入点。培训平衡了收集足够数据以形成有效波束组的限制开销的目标。 2）利用可用的训练信息，设计了一种近似最小组播组数据传输时间的可扩展波束分组算法。(In this paper, we design, implement and experimentally evaluate scalable directional multicast (SDM) technology to train access points by partially traversing the codebook tree with RSSI measurements per beam per client. The training balanced the goal of collecting enough data to form the limiting cost for effective beam formation. 2) Using available training information, a scalable beam grouping algorithm with approximate minimum multicast group data transmission time is designed.)