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当前，矢量控制是一种优越的交流电机控制方式，它模拟直流电机的控制方式使得交流电机也能取得与直流电机相媲美的控制 效果。依据矢量控制的基本原理和方法，用 456752 8 9:4 7:<= 模块构建了一个基于转子磁场定向的旋转坐标系下的交流异步 电机矢量控制系统仿真模型，对其速度控制器提出并设计一种模糊滑模变结构控制算法。该控制算法具备模糊逻辑控制和滑模 变结构控制两者优点，并且较好地解决了滑动模态的抖动问题。仿真结果表明了该设计的可行性以及具有良好的动静态性能、 较强的鲁棒性(6.C+D& EFB@.A B.*@A.G ! H’ , )?+ ?1IFA).A B.*@A.G J.CF .K )*C1B@).* J.@.AL :@ B+* .>@+)* @(F ?+JF B.*@A.G FKKFB@ .K M’ J.@.A >D J.CFG)*/ @(F B.*@A.G J.CF .K M’ J.@.AL 5BB.AC)*/ @. EFB@.A B.*@A.G N ? IA)*B)IGF+*C JF@(.C& 456752 8 9:4 7:<= J.C1GF O+? 1?FC @. >1)GC+ ?)J1P G+@).* J.CFG .K 5’ J.@.A EFB@.A B.*@A.G ?D?@FJ >+?FC .* @(F A.@.A KG1Q .A)F*@FC B..AC)*+@F )* @()? I+IFAL R1SSD ?G)C)*/ E+A)+>GF ?@A1B@1AF B.*@A.G O+? IA.I.?FC+*C FJIG.DFC )* ?IFFC B.*@A.GGFAL 6(F B.*@A.GGFA I.??F??FC @(F JFA)@? .K K1SSD G./)B B.*@A.G+*C ?G)C)*/ J.CF E+A)+>GF ?@A1B@1AF B.*@A.G ， +*C )@ B+* ?.GEF @(F IA.>GFJ .K @(F B(+@@FA)*/ .K ?G)C)*/ J.CFL 6(F AF?1G@? .K ?)J1G+@).* )*C)B+@F @(+@ @(F B.*@A.GGFA O+? O.AT+>GF O)@( /..C A.>1?@*F??+*C /..C CD*+J)B+*C ?@+@)B IFAK.AJ+*BF F?IFB)+GGD )* @(F K)FGC .K F*/)*FFA)*/)

介绍了一种基于低成本CMOS摄像头的智能监控系统,实现了现场监控的实时化、智能化。系统可自动判别危险程度,可分别提供绿色、黄色和红色报警信息,并驱动相关附属设备工作。针对图像传输过程中的噪声,系统采用了对噪声图像使用局部算子的滤波技术来提高图像质量。根据对静态图像进行三原色分离后误差域的研究,达到背景与图像分离的目的,成功实现了图像的获取和处理。在低成本投入下,以简单的配置和简便的操作达到了高性能监控系统的功能。(Introduce a low-cost CMOS camera-based intelligent monitoring system, realize the scene in real-time monitoring and intelligent. The system can automatically determine the degree of risk, they can provide green, yellow and red alarm information, and drive the work-related ancillary equipment. For image transmission in the process of noise, system noise images of the use of local filtering operator technology to improve image quality. Based on static images RGB domain after the separation error research, background and images to achieve the purpose of separation, the successful implementation of the image acquisition and processing. Input in the low-cost, simple configuration and easy to operate to achieve a high-performance monitoring system.)

用户分为普通用户和管理员 普通用户只有订餐、发送订单、修改个人信息的权利 管理员拥有普通用户的所有权利 以及增删改查的权利、对货物的增删改查 对订单的查看、删除、处理等、以及对用户的管理 (Users are divided into ordinary users and administrators ordinary users only ordering, send orders, the right to modify personal information Administrators have all the rights of the ordinary users as well as the right to CRUD the CRUD check goods orders view, delete, processing etc., as well as the management of the user' s)

DWT-SVD Watermarking

针对DVB-T标准ETSI EN 300 744 V1.5.1,设计了可用于DVB-T接收整机的多速率DDC模块,并在FPGA中仿真实现.在复用数字振荡混频模块的基础上,根据输入信号的不同带宽(6M/8MHz)选择不同的抽取滤波器组完成抽取因子为3或4的多速率处理任务,利用两级半带滤波器(HBF)级联完成4倍抽取滤波,单级奈奎斯特滤波器完成3倍抽取滤波. (For the DVB-T standard ETSI EN 300 744 V1.5.1, designed for DVB-T receiver machine multi-rate DDC module, and the simulation in the FPGA implementation. Numerical oscillation in the complex mixer module, based on the input signals of different bandwidths (6M/8MHz) choose a different group of complete decimation filter extracted factor 3 or 4 of the multi-rate processing tasks, using two half-band filter (HBF) cascade to complete four times decimation filter, single-stage Chennai Nyquist filter to complete three times the decimation filtering.)

contruction Spring Mass Damper Model with Proportional plus Derivative (PD) Feedback which was done in simulink

复杂形体建模与绘制的离散方法研究【浙大博士学位论文】，对于图形学研究具有很高的参考价值(complex physical modeling and rendering of discrete method [PhD thesis-- Zhejiang University, For graphics, which is very high reference value)

基于PSO的BP训练算法论文：在BP训练算法中，关于变权值、学习速率、步长的问题已被广泛地研究，几种基于启发式改进的技术也表明具有改善训练时间以及避免陷入局部最小的明显效果。这里BP训练过程由基于PSO同时优化log—Sigmoid函数与网络权值的新算 法(PSO。GainBP)实现。实验结果表明，PSO—GainBP比传统基于PSO的BP算法在网络训练方面具有更好的性能。(PSO based on the BP training algorithm Papers: In the BP training algorithm, on the right to change the value of learning rate, step length of the question has been widely studied, several heuristics based on improved technology also shows that to improve the training time and avoid falling into local the smallest tangible results. Here BP training process at the same time by the PSO-based optimization of log-Sigmoid function and the network weights of the new algorithm (PSO. GainBP) to achieve. The experimental results show that, PSO-GainBP than the traditional PSO based on the BP algorithm in network training has a better performance.)

分子筛氧浓缩器实验台集散控制系统的设计Test-bed molecular sieve oxygen concentrator distributed control system design(Test-bed molecular sieve oxygen concentrator distributed control system design)