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基于51单片机的风光互补发电系统
能源与环境成为当今世界所面临的两大重要课题。人类正在努力寻求清洁，高效，可以再生的能源来代替对石油，煤炭等常规能源的依赖。太阳能，风能是洁净资源，对环境不产生污染。所以，开发利用再生能源成为本世纪能源发展战略的基本选择。小型风光互补发电系统就是利用自然能源，解决位于远离电网的地方（草原、边防海岛、山区、牧区等）没有比较稳定电源的问题。风光互补发电控制系统是为了弥补传统电力的不足而设计的独立发电设备。它是由太阳能电池组件与风力发电机配合而成的一个系统，通过微型计算机的远程控制，基本实现了免维护。因为系统中设有单片机工作状态检测、数模转换结果正确与否监测、继电器是否按指令要求动作检测，并对所有检
- 2020-12-08下载
- 积分：1
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基于人脸识别考勤系统的设计与实现
基于人脸识别考勤系统的设计与实现 非常详细的人脸识别技术介绍西安电子科技大学学位论文创新性声明秉承学校严谨的学风和优良的科学道德,本人声明所呈交的论文是我个人在导师指导下进行的研究工作及取得的研究成果。尽我所知,除了文中特别加以标注和致谢中所岁列的内容以外,论文中不包含其他人已经发表或撰写过的研究成果;也不包含为获得西安电子科技大学或其它教育机构的学位或证书而使用过的材料。与我一同工作的同志对本研究所做的任何贡献均已在论文中做了明桷的说明并表示了谢意。申请学位论文与资料若有不实之处,本人承担切的法律责任本人签名:日期西安电子科技大学关于论文使用授权的说明本人完全了解西安电子科技大学有)保留和仗用学位论文的规定,即:研究生在校攻读学位期间论文工作的知识产权单位属西安电子科技大学。学校有权保留送交论文的复印件,允许查阅和借阅论文;学校可以公布论文的全部或部分内容,可以允许采用影印、缩印或其它复制手段保存论文。同时本人保证,毕业后结合学位论文研究课题再撰写的文章一律署名单位为西安电子科技大学。本人签名:日期导师签名日期摘要摘要随着科技的发展,智能化的考勤系统在企事业单位越来越被广泛使用,尤其是基于人休生物特征识别的考勤系统更是研究的热点。木文是采用基于实时视频流的人脸识别技术设计的考勤系统。本系统首先提出一套用于精确提取人脸区域的方法流程。通过算法对视频流中的人脸进行实时检测,然后对包含人脸的视频帧进行图像预处理和肤色建模来精确定位人脸,最后使用算法对定位的人脸进行跟踪。接着,木系统针对定位得到的人脸图片的光照变化提出了一种新的处理方法。、将光照变化分为光照強度和光照角度变化;二、川灰度归一化预处理降低对光照强度的敏感度;三、用个基本点光源近似表小人臉识别应用中的光照条件,估计输入图像最近似的光照条件,据此提出了“最近光照比图像”的概念,重构标准光照图像,降低光照角度的影响。对光照估计和重构的人脸图片健立嵌入式隐马尔可夫模型,提取它的观察向量并同数据库中的训练好的薮据进行最大似然估计,确定人脸身份。最后,实现了基于人脸识别的原型考勤系统,它实现了员工考勤信息的自动录入、管理等功能。通过对这个原型系统的改进来满足不同的应用需求。关键字:人脸识别最近光照比图像考勤系统基于人脸识别考勤系统的设计与实现closest light conditions of face images. Based on this, the concept"closest illuminationratio image(CIRi is proposed which is designed to reconstruct standard face images基于人脸识别考勤系统的设计与实现目录目录第·章绪论课题研究背景和意义相关理论基础与应用领域人脸识别国内外研究成果国外研究成果国内研究成果木文的主要工作及论文安排第二章图像预处理色彩平衡光照补偿直方图均衡化形态学运算色彩空间转换本章小节第三章视频图像人脸定位与跟踪视频图像视频图像简介图像米集卡工作原理及流程视频流获取人脸检测人脸检测方法概述基于人脸检测方法人脸定位基于的混合高斯肤色模型肤色分割边界提取人脸提取人脸跟踪跟踪技术实验及结果分析木章小节第四章人脸识别特征脸方法概述基于人脸识别考勤系统的设计与实现改进的人脸识别技术光照变化对人脸识别影响消除光照强度变化技术消除光照角度变化技术光照佔计和标准光照图像的重构光照估计和图像重构仿真实验基于的人脸识别隐马尔可夫模型简介理解人脸模型基于人脸识别三个问题及解决办法的特征值提取人脸训练人脸匹配本章小节第五章系统设计与实现系统设计概述采集模块设计视频采集硬件设备视频显示人脸图像获取管理模块设计员工信息管理模块人脸识别管理数据库的设计和开发数据库总体框架基木表建立人脸库建立系统菜单设计用户登录模块权限管理模块员工出勤记录员工基本信息管理查询模块用户界面设计
- 2020-12-03下载
- 积分：1
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matlab绘制三维图实例
十几个matlab绘制三维图的实例，详细的代码以及注解，含有运行以后的figure，图像
- 2020-12-01下载
- 积分：1
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盲源分离JADE算法
盲源分离分离信号，利用高阶累积量，联合对角化恢复信号
- 2021-05-06下载
- 积分：1
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Two Dimensional Phase Unwrapping Theory Algorithms and Software
Two Dimensional Phase Unwrapping Theory Algorithms and Software，扫描文档，清晰度一般。GTWO-DIMENSIONALPHASE UNWRAPPINGTHEORY ALGORITHMSAND SOFTWAREDennis C. ghigliaSandia National LaboratoriesAlbuquerque, New MexMark D. PrittLockheed Martin CorporationGaithersburg, Maryland藏A WILEY-INTERSCIENCE PUBLICATIONJOHN WILEY SONS, INCNew York Chichester Weinheim Brisbane Singapore / Toronto2005060radar interferogram generated byDeathon each pass, The terrain elevations can be computed from thebut the phase differences must fig problem In regions of steeprrupted where there are radar shadow and "layover"effects. Surfaceoccurred between the two passes, which were 24 days apar alsopThis image was acquired as part of a program for the Terrain Modeling Project Officended byEngineering Center. The SAR data was provided by Radarsat Intenational THinterferogram was generated and provided by Vexcel Corporation, Boulder, Coloradop00This text is printed on acid-free paper.Copyright o 1998 by John Wiley Sons, Inc. All rights reservedNo part of this publicationreproduced, stored in a retrievalsystem or transmitted in any form or by any means, elechanical photocopying, recording, scanning or otherwise,xcept as permitted under Sections 107 or 1O% of the 1976of the Publisher or authorization through payment of theontates Copyright Act, without cither theppropriate per-copy fee to the Copyright Clearance Center, 222750-4744. Requests to the Publisher for permission show(978)ood Drive, Danvers, MA 01923, (978)750-8400, faxnc.. 605 Third A venue. New York, NY 10158-0012(212)850-6011fax(212)850-6008,E-Mail:PERMREQ@WILEY.COMTwo-dimensional phase unwrapping: theory, algorithms, andsoftware/Dennis C Ghiglia and Mark D Pritt.SBN0-471-24935-1(cloth: alk. paper)1. Synthetic aperture radar. 2. Signal processing--Mathematics3. Interferometry. I Pritt. Mark D. [L. Title621.367-dc2l97-3803410987654321;4TWO-DIMENSIONALPHASE UNWRAPPINGFOREWORDTwo-dimensional phase unwrapping is the type of problem that is typically thedomain of the mathematician. It is both complex and abstract However, phaseunwrapping is also the core technology that enables radar interferometryOver the past decade interferometry has changed the way that we use radardata. Radar data are now used for precise measurement of surface topography inclouded regions. Additionally, spaceborne radar systems have proved effectivefor measuring surface changes from earthquakes and volcanic eruptions. Theseapplications have created a new class of radar data users primarily involved inmapping and remote sensing applicationIn Two-Dimensional Phase Unwrapping: Theory, Algorithms, and Softwarethe authors unlock the mystery of phase unwrapping in interferometric datarocessing. This text provides a clear, concise treatment of phase unwrappingthat cannot be found in any other source. It presents for the first time therelationship between theory and application. Its uniform treatment of thevarious phase unwrapping techniques makes it a valuable resource for anyengineer or scientist involved in processing or exploitation of interferometricexpect that radar interferometry will increase in importance over the comingdecade with the development of airborne and spaceborne sensor systemsdesigned to optimally exploit this tcchnology. Two- Dimensionsping: Theory, Algorithms, and Software is an important contribution to ourinderstanding of radar interferometry that will bencfit both research intoadvanced techniques and the design of these future sensor systemsJOHN C. CURLANDEPresident and CEOVexcel CorporationPREFACETwo-dimensional phase unwrapping arises most naturally in, but is notrestricted to, interferometric applications. Measured or calculated phasevalues from two or more mutually coherent multidimensional signals are relatedn a nonlinear manner to a desired physical quantity of interest. The nonlinearityis in the form of"wraps"or cycle discontinuities where an underlying two-dimensional phase is wrapped into the interval (T, r. The wrapped phasemust somehow be unwrapped in order to provide an estimate of the underlyingphysical quantity. Estimation of surface topography from interferometricsynthetic aperture radar(SAR)or extremely accurate profiling of mechanicaparts by optical interferometers are two such examplesOriginally developed for military reconnaissance, SAR is now experiencingnew life in civil applications. In fact civilian and commercial interests are rapidlbecoming the drivers of technology. Clever utilization of the coherent SArimagery in interferometric configurations makes possible the measurement ofsurface topography to accuracies much better than the spatial resolution( 0.3meters to several meters)of the SaR images themselves. Indeed, as is commonplace with interferometers, measurement sensitivities are on the order of theoperating wavelength, which is typically a few centimeters for SAR. Imaginggeometries, noise, and other operational factors degrade performance some-what from centimeter-scale accuracies, but nevertheless SAR interferometrymakes possible global topographic mapping in a timely fashion, in daylight or atnight, in all weather conditions, and with unprecedented accuracyinterferometry also can detect deformations of the earths crust on the orderof millimeters, a capability that shows promise for the timely detection ofearthquakes or volcanic eruptionsThese exciting possibilities have led to an explosive growth in the field of phaseunwrapping as indicated by the increasing number of journal publicationsNewcomers to SAR interferometry and related disciplines will eventuallyonfront the phase unwrapping problem and, undoubtedly, will encounter arather bewildering variety of ideas and algorithms, including those based onneural networks, simulated annealing, cellular automata, genetic algorithms,and other unusual constructs. Which of these are good? Which are not? We doThroughout this book we use the notation(-丌,丌 to represent the interval-丌
- 2020-12-12下载
- 积分：1
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模拟退火算法解决TSP问题MATLAB代码
这段代码使用了模拟退火的思想解决TSP问题。在这个仿真实验中解决了自定义的20个城市的TSP问题，在设定合适参数后每次的运行中都能得到一个比较理想的结果。Main.m文件是程序入口。Data_file.m文件设置自定义的城市数据。Swapcities.m文件中包含随机交换两个城市的函数。Plotcities.m文件中包含将城市数据在二维平面上表示的函数。Distance.m文件中包含计算城市距离的函数，用来解决旅行商问题。Simulatedannealing.m文件中包含模拟退火算法。这部分是程序的主体，我参考了许多讨论关于模拟退火算法方面的论文。
- 2021-05-06下载
- 积分：1
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经典-SIwave中文培训手册.pdf
高性能PCB 的SI/PI 和EMI/EMC 仿真设计ANSOFa subsidiary efIPCB信号完整性甩源完整性和EM分析培训手册是瞬时,也就是瞬态情况下的阻抗:++++++++这个阻抗是传输线本身的物理结构决定的,一般会设计成50欧姆,这是在微波的发展过程中逐渐形成的。射频电缆特性阻抗在70多欧姆左右吋,传输损耗最小;在30多欧姆吋,承受功率最大。两者综合,选择50欧姆,同时照呗到两种性能,所以就选择了50欧姆作为一个标准。如果外接的阻抗冋特征阻抗不一致,就会产生反射2.3反射系数和信号反射当传输线的传播的信号到达某个阻抗不连续的节点时,信号会发生反射,就像水流通过不同∏径的管道接∏时,水面产生波动样。根据反射电压和入射电压的比值,可以定义传输线上的反射系数F。R-Z.R,+z当负载阻抗大于输入阻抗,反射系数r>0,反射信号与入射信号同向叠加:当负载阻抗小于输入阻抗,反射系数r pour manager中进行 Plane connect和 Hatch的操作,如下图所示:u Pour ManagerFlood Hatch (lane Connect lInternalPlane1elect点Internalplant1 Confirm Connect O perationStart close[邮卫。[H8PCB信号完整性/电源完整性和EM分析培训手册ANSOFTsubsIdiary ef ANRY, las,haI■u Pour ManagerFlood Hatch) lane Connect IHatch Mode8Hach点Fast hatch匚cx匚se.匚世p接下来,需要在菜单的too-> option->Sp| it/Mixed plane设置中,对 Save to pcb file栏选择 All plane data选项。如下图所示:optionsDrafting Grids < split / Mixed Plene>L Die Component via PatterSave to pcB filtMixed plane display○ Plane polygon outline○ Plane polygon outlines斗 plane data→ed plane dating radius:0.00凸ar ate gap:日Automatic actionsRvIRCreate cutouts around embedded platLanHelp设置好此项后,在菜单中运行File-> Export,选择*.asc文件的路径和名称后,弹出以下对话框:
- 2020-12-09下载
- 积分：1
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JAVA简单学生管理系统完整版+设计报告
JAVA简单学生管理系统完整版和学生管理系统设计报告，全部可以运行，导入就可以....
- 2020-12-01下载
- 积分：1
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上海大华条码秤上位机1216 新版V1.1
条码秤的设置帮助 以及上位机软件 最新版本1.1 取代1216版大华条码秤上位机 ----------图解如何 进行条码秤安装以及 条码秤设置 打印等。
- 2020-12-12下载
- 积分：1
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STM32 外部中断触发定时器 详细代码（编译通过）
该资源为本人自己研究出来 可能对于有些人都会使用 但改代码编写正式 注释详细 且已编译通过 运行正常 有利于初学者和有疑问者参考学习STM32的外部中断和定时器的使用 可以直接拿过来使用 采用开发板为 STM32F103C8 编译环境MDK Keil4
- 2021-05-06下载
- 积分：1
