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Geomagic Control X 2017基础教程
3D数据检测软件教学教程，可以帮助使用人员更加快速掌握软件使用基础教程本教程的目的是让你基础的了解在 Geomagic Control X的检查过程.通过程序的教程,你将学会Geomagic Control X的基本使用方法基本的检查过程在本次课程中,你将学到如何导入参考和测试数据并把它们对齐到一起.在检査数据的3D比较和添加比较点之后你将学会如何输出结果报告127GNi. 43503H22.32244614的Pe,料动什dP长359,系1阳A17atinsti检查GD&T在本次课程中,你将学会如何在模型上测量2D和3DGD&T(几何尺寸和公差PMI界面在本次课程中,你将学会如何通过使用PM面向导,导入其他CAD程序已定义PM的参考数据.并检查参考和测试数据之间的偏差.系统检查过程在本次课程中,你将学会如何打开一个含有GD&T测量的 Geomagic Control x项目文件除了现有的测量,你还将检查轮廓偏差,2DGD&T,和2D比较.伞2叫钣金检查过程在本次课程中,你将学会如何检査钣金数据.你将使用RPS对齐方法来对齐数据.多个2D比较命令将用来检查参考和测试数据0≠2aRLES0使用面片数据作为基准数据在本次课程中,你将学会如何使用面片对象作为参考数据,并在检査3DGD&T和面片对象的偏差Gd Dist0:1556D4t:0.141Gaa Dist=0.09b2Gs02590.1237Gap Distt Gap Dist,0:15034第一章.基本的检查过程概要本次练习包括什么?步骤介绍结果导入参考和测试数据使用初始对齐命令对齐数据2使用初始对齐工具对齐参考和测试数据添加3D比较特征3使用3D比较工具分析模型的整体偏差.添加2D比较特征4Ltr使用2D比较工具分析模型的断面偏差.添加比较点理三5分析模型上特定位置的偏差.日但生成报告6将分析结果生成报告■步骤1:导入参考和测试数据在步骤1中,将导入参考数据和测试数据并利用数据创建一个检测项目导入参考数据在模型管理器中选择其中一个结果数据标签把它设置成激活标签.2.在初始选项卡中,导入组下,点击导入或者选择菜单>文件>导入3.从下面的路径浏览这个文件 Reference Data. CXProj然后点击仅导入/Sample/Basic/Basic Inspection Process「导入文件4.一个CAD对象将在模型视图中显示并自动设置成参考数据.二、导入测试数据.在初始选项卡中,导入组下,点击导入或者选择菜单>文件>导入2.从下面的路径浏览这个文件 Measured Data. CXProj然后点击仅导入/Sample/ Basic/Basic Inspection Process「导入文件3.一个面片对象将在模型视图中显示并自动设置成测试数据.步骤2:使用初始对齐命令对齐数据在步骤2中,初始对齐工具将用于对齐测试数据和参考数据初始对齐工具可以智能的把测试数据移动到参考数据合适的位置上初始对齐1.在初始选项卡中对齐组下,点击初始对齐,或者选择菜单>插入>对齐>初始对齐侣亮显命令运行命令注释:此工具也可以从上下文菜单中访问.在模型视图中任意位置点击右键然后在上下文菜单中点击对齐工具.查看"上下文菜单"在 Geomagic Contro/X的帮助说明来获取更多信息d Frit Annotation styleselection modeL: All-FacesShift+AnItt: NSE nverseshiit-2.取消选择利用特征识别提高对齐精度选项.7 Initial Alignment√xEnhance Alignment Accuracy with Feature recognition注释:如果勾选利用特征识别提高对齐精度选项,程序将分析和比较参考和测试数据之间的特征形状然后移动测试数据到两个数据间的最小偏差处3.点击OKM4.检查测试数据是否已经对齐到参考数据上步骤3:添加3D比较特征在步骤3中,3D比较工具将用于计算和显示参考和测试数据之问的整体偏差、添加3D比较1.在初始选项卡中,比较组下,点击3D比较,或者选择菜单>插入>比较>3D比较亮显命令运行命令2.第一步,选择类型选项作为方法并选择贔短选项作为投影方冋.这种方法计算参考数据和测量数据之间的最小距离3 D Compare+√x7 Calculation OptionSampling Ratio% 7MethodO ShapeTHicknessProjection DirectionShortestO Along NormalCustomMax Deviation Auto ob More Options3.点击下一阶段进入下一步.测量数据将自动隐藏因此你可以清楚的看见色图注释:如果需要可以在模型管理器中点击参考数据后面的眼睛图标◎,使测量数据可见Model ManagerInsul bald回 Reference(o Feference DataReferenc是Eata电 Constructed GeometryMeasuredMeasured dataMeasured cata电 Cor structed Geometryv 99 AliyrinmenIlsa Initial AlignmentE Pairing Map3D Compare争3DGD&5f Cross Sectioned Probe Sequence回 Custom vievA Measurement4.检査预览.蓝色的区域表示测量数据在参考数据的下面或者后面,黄色到红色表示测量数据在参考数据的上面5.使用偏差标签下面的选择选项并在体上面选择若干点来査看特定位置的偏差值.每个点位置和偏差的注释将会显示Reference Pos. Measured PosGen vec.Check00008s000217024216829一0,18130113Reference Pos, Measured Pos, Gap vec:Cheel170,00o00000a85,00014.02301428210.24910,916.点击OK√完成命令二、隐藏3D比较在模型管理器中分析下点击3D比较后面的眼睛图标◎,使3D比较的结果在模型视图中不可见.步骤4:添加2D比较特征在步骤4中,2D比较工具将用于计算和显示参考和测试数据之间的断面偏差.你可以在模型上剪切一个平面断面来添加2D比较特征并测量参考和测试数据在断面上的缝隙一、添加2D比较1.在初始选项卡中,比较组下,点击2D比较或者选择菜单>插入>比较>2D比较亮显命令运行命令2.在第一阶段中,你将定义截面平面的位置和计算方法.选择偏移方法并选择一个平面作为基准平面PLane3.点击反转方向来反转切断面的方向4.在偏移距离的输入框中输入3mm来设置所选面的偏移距离.2 D Compare Q→√xv Set section planeO OffsetO RotationO Along CurveBase planeFace 4OffsetDistance[3m⑧D Multiple Cutting Planev Calculation OptionProjection DirectionShortest
- 2020-11-28下载
- 积分：1
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systemverilog 的经典例程 可直接执行
systemverilog 的经典例程，主要程序来自systemverilog功能验证一书。在modelsim中可直接执行。搞懂这个程序基本上systemverilog算是入门了。
- 2021-05-06下载
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Matlab 调用 REFPROP(64位）下载即可用
Matlab实现在64位windows系统调用refprop,包含了必要的函数说明，下载就可以用
- 2020-06-26下载
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ttf16.ocx 6.1.62支持win10
打印控件最新版支持win10 修复数据保护报错 1321153465464
- 2021-05-06下载
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Kvaser_USBCAN与simulink实现数据共享所需插件及安装说明
包含simulink VehicleNetworkToolbox工具支持kvaser设备的安装包插件及安装配置说明，kvaser最新版本驱动，Kvaser与simulink通信测试demo（亲测），对实际总线上的信号上传给simulink实时仿真提供了解决思路。
- 2020-12-01下载
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Key Technologies for 5G Wireless Systems
5G无线通信系统关键技术（剑桥大学出版社） 2017年出版 对于5G所有最新技术进行了详细说明 很全的工具书Key Technologies for5G Wireless SystemsVINCENT W. S, WONGUniversity of British ColumbiaROBERT SCHOBERUniversity of Erlangen-NurembergDERRICK WING KWAN NGUniversity of New South WalesLI-CHUN WANGNational Chiao-Tung University即CAMBRIDGEUNIVERSITY PRESSCAMBRIDGEUNIVERSITY PRESSUniversity Printing House. Cambridge CB2 SBS. United KindomOne Liberty Plaza, 20h Floor New York, NY I(H0X, USA477 williamstown Road, port Melbourne, yic 3207 australia48424, 2nd Floor, Ansar Rod, Daryaganj. Delhi- I l4XH2, India79 Anson Road, #o6-(/ 00, Singapore 079%MCambridge University Press is part of the Lniversity of CambridgeIt furthers the University s mission by disseminating knowledge in the pursuit ofeducation, leaming and research at the highest international levels of excellence.www.cermbrid吧eInformtiononthistitlewww.cambridgeorg/978110713241810,1017③781316771655C Cambridge University Press 2017This puhlication is in copyright. Subjcct to sututonry exceptionand to the provisions of relewant collective licensing agreementsno reproduction of any part may take place without the writtenpermission of Cutmbridgre University Press.First published 2(117Printed in the United Kingdom by TJ International Ltd. Padstow, CornwallA catalogue recor for this pudlieafiove is aailable fromm the British LibraryLibrary of Congress Cataloging- in Pi hlicaiomz dataNames: Wong, Vincent W.S., editorTitle: Key technologies for 5G wireless systems/edited by Vincent W.S. Wong [and 3 otherOther titles key technologies for five g wireless svstemsDescription: Carmbrisige: New York, NY: Cambridge Lniversity Press, 2017.Identifiers: l CCN 2016045220)1 ISBN 9781 172418 (hardback)Subjects: LCSH: Wireless communication systems, I Machine-to-machinecommunications. Internet of things.Classitication: LCC TKs1032K49 2(17 DDC 621.38450-dc23LcrecordavailaBleathttps://lccnioc-gov/2016m5220)ISBN 978-1-107-17241- HardbackCambridge University Press has no responsibility for the persistence or accuracy ofURLs for extermal or third-party Internet websites referred to in this puhlication,and does not guarantee that any content on such websites is, or will remainaccurate of appropriateContentsList of Contributorspage xvIPrefaceKXIOverview of New Technolog ies for 5G SystemsVincent W S, Wong, Robert Schober, Derrick Wing Kwan Ng, and Li-Chun Wang1.1 Introduction1.2 Cloud Radio Access Networks1.3 Cloud Computing and Fog Computing1. 4 Non-orthogonal Multiple Access1. 5 Flexible Physical Layer Design334.4671. 6 Massive MIMo1. 7 Full-Duplex Communications1. 8 Millimeter wave1.9 Mobile Data Offloading, LTE-Unlicensed, and Smart Data Pricing131. 10 IoT M2M. and D2D1. I1 Radio Resource Management, Interference Mitigation, and Caching61. 12 Energy Harvesting Communications1. 13 Visible Light Communication19Acknowledgments20ReferencesPart I Communication Network Architectures for 5G Systems25Cloud Radio Access Networks for 5G Systems27Chih-Lin I, Jinn Huang, Xueyan Husang, Rongwved Ren, and Yami. Chen2.1 Rethinking the Fundamentals for 5G Systems272 User- Centric Networks2923 C-RAN Basics292.3.1 C-RAN Challenges Toward SGI302.4 Next Generation Fronthaul Interface (NGFI: The FH Solutionfor SGC-RAN312. 4.1 Proof-of-Concept Development of NGFI33Contents2.5 Proof-of-Concept Verification of Virtualized C-RAN2.5.1 Data packets3725.2 Test Procedure382.5.3 Test Results392. 6 Rethinking the Protocol Stack for C-RAN2.6.1 Motivation402.6.2 Multilevel Centralized and Distributed Protocol Stack402.7 Conclusion45AcknowledgmentsReferencesFronthaul-Aware Design for Cloud Radio Access Networks48Liang Liu, Wei Yu, and Osvaldo Simeone3. 1 Introduction483.2 Fronthaul-Aware Cooperative Transmission and Reception493. 2.1 Uplink513.2.2 Downlink573.3 Fronthaul-Aware Data Link and Physical layers61.3. I Uplink633.3.2 Downlink693.4 Conclusion73Acknowledgments74References74MobEdge computing76Ben Liang4.1 Introduction764.2 Mobile Edge Computing774.3 Reference architecture794.4 Benefits and Application Scenarios804 4.1 User-Oriented Use cases4. 4.2 Operator-Oriented Use Ca814 5 Research challenges824.5.1 Computation Offloading824.5.2 Communication Access to Computational Resources834.5.3 Multi-resource Schedulin844.5 4 Mobility Management854.5.5 Resource Allocation and Pricing4.5.6 Network functions virtualization864.5, 7 Security and Pri864.5.8 Integration with Emerging Technologies874.6 Conclusion88ReferencesContentsDecentralized Radio Resource Management for Dense HeterogeneousWireless networksAbolfazl Mehhodniya and Fumiyuki Adach5.1 Introduction925.2 System Model935.2.1 SINR Expression5.2.2 Load and Cost Function Expressions955.3 Joint BSCSA/UECSA ON/OFF Switching Scheme965.3.1 StrateTy Selection and Beacon Transmission53.2 UE AssocIation5.3.3 Proposed Channel Segregation Algorithms985.3.4 Mixed-Strategy Update3.4 Computer Simulation5.5 Conclusion104Acknowledgments04References105Part ll Physical Layer Communication Techniques107Non-Orthogonal Multiple Access(NOMA)for 5G Systems109Wei Llang, Zhiguo Ding, and H. Vincent Poor6.1 Introduction1106.2 NOMA in Single-Input Single-Output(SISO)Systems1126.2.1 The basics of nomaI126. 2. 2 Impact of User Pairing on NOMA136.2,3 Cognitive Radio Inspired NOMA6. 3 NOMA in MIMO Systems1206.3.1 System Model for MIMO-NOMA Schemes1216.3.2 Design of Precoding and Detection Matrices with Limited CSIT 1236.3.3 Design of Precoding and Detection Matrices with Perfect CSIT 1266.4 Summary and Future Directions128ReferencesFlexible Physical Layer Design133Maximilian Matthe, Martin Danneberg, Dan Zhang, and Gerhard Fettweis7.1 Introduction1337. 2 Generalized Frequency Division Multiplexing357.3 Software-Defined waveform1377. 3. 1 Time Domain Processing1387.3.2 Implementation Architecture1387.4 GFDM Receiver Design14174 Synchronization unit1427. 4.2 Channel Estimation Unit1474.3 MIMo-GFDM Detection Unit145Contents7.5 Summary and Outlook147Acknowledgments148References488Distributed Massive MIMO in Cellular Networks15IMichail Matthaiou and Shi Jin8. I Introduction15l8. 2 Massive MIMO: Basic Principles1528.2.1 Uplink Downlink Channel Models1538.2.2Favorable Propagation1548.3 Performance of Linear Receivers in a Massive MIMO Uplink1548.4 performance of linear precoders in a massive mimo downlink1578. s Channel estimation in massive mimo systems1588.5.1 Uplink Transmission1598.5.2 Downlink Transmission1608.6 Applications of Massive MIMO Technology1618.6.1 Full-Duplex Relaying with Massive Antenna Arrays1618.6.2 Joint Wireless Information Transfer and Energy Transfer forDistributed massive mimo1638.7 Open Future Research Directions1678. 8 Conclusionl68References169Full-Duplex Protocol Design for 5G Networks172Tanelf Ahonen and Risto wichman9.1 Introduction1729. 2 Basics of Full-Duplex Systems1739.2.1 In-Band Full-Duplex Operation Mode1739.2.2 Self-Interference and Co-channel Interference1749.2.3 Full-Duplex Transceivers in Communication Links1759. 2. 4 Other Applications of Full-Duplex Transceivers1789.3 Design of Full-Duplex Protocols1799.3, 1 Challenges and Opportunities in Full-Duplex Operation1799.3.2 Full-Duplex Communication Scenarios in 5G NetworksR9.4 Analysis of Full-Duplex Protocols1829.4.1 Operation Modes in Wideband Fading Channels1829. 4, 2 Full- Duplex Versus Half-Duplex in Wideband Transmission1849.5 Conclusion1849.5.1 Prospective Scientific Research DirectionsI849.5.2 Full-Duplex in Commercial 5G Networks185RLItrtncekl8610Millimeter Wave Communications for 5G Networks188Jiho Song, Miguel R Castellanos, and David J. LoweContentsⅸx10.1 Motivations and Opportunities18810.2 Millimeter Wave Radio Propagation18910. 2.1 Radio Attenuation1890. 2. 2. Free-Space Path LOSs19I10.2.3 Severe shadow19310.2 4 Millimeter Wave Channel model19310.2.5 Link Budget Analysis19410.3 Beamforming Architectures19510.3, Analog beamforming solutions19610.3.2 Hybrid Beamforming Solutions20010.3.3 Low-Resolution Receiver Architecture2010.4 Channel Acquisition Techniques20110.4.1 Subspace Sampling for Beam Alignment20210.4.2 Compressed Channel estimation Techniques20510.5 Deployment Challenges and Applications20710.5.1 EM Exposure at Millimeter Wave Frequencies20710.5.2 Heterogeneous and Small-Cell Networks208Acknowledgments209References209Interference Mitigation Techniques for Wireless Networks214Koralia N Pappi and George K, Karag annidis1 1.1 Introduction21411.2 The Interference Management Challenge in the 5G vision21411. 2. 1 The 5G Primary Goals and Their Impact on Interference2141 1.2.2 Enabling Technologies for Improving Network Efficiencyand Mitigating Interference21611.3 Improving the Cell-Edge User Experience: Coordinated Multipoint218I 1.3.1 Deployment Scenarios and Network Architecture2181 13. 2 CoMP Techniques for the Uplink22011.3.3 CoMP Techniques for the Downlink2211 1.4 Interference Alignment: Exploiting Signal Space Dimensions2231 1.4.1 The Concept of Linear Interference Alignment224L1. 4.2 The Example of the X-Channel225I 1. 4.3 The K-User Interference Channel and Cellular NetworksAsymptotic Interference Alignment22611.4.4 Cooperative Interferenee Networks22711.4.5 Insight from IA into the Capacity Limits of Wireless Networks 22711.5 Compute-and-Forward Protocol: Cooperation at the ReceiverSide for the Uplink22811.5.1 Encoding and Decoding of the CoF Protocol22811.5.2 Achievable-Rate Region and Integer Equation Selection23011.5.3 Advantages and Challenges of the CoF Protocol232IL6 Conclusion233References233
- 2020-12-06下载
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红外通信代码和仿真电路图（原创）
里边涉及到了按键，按下不同的键可以发出不同编码的信号。用到的载波是用单片机产生的38k的方波。
- 2020-12-01下载
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智能温室大棚监测控制系统开发设计
本文描述了智能温室大棚监测控制系统的设计开发理念，可帮助您对该方面知识有一个更好的把握和理解
- 2020-11-28下载
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激光雷达数据读取、显示、分割、直线拟合C++（需配置OpenCV2.4）
激光雷达数据读取、显示、分割、直线拟合C++（需配置OpenCV2.4）
- 2020-12-04下载
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飞思卡尔智能车直立电磁车二等奖程序
这是第七届飞思卡尔智能车电磁组的华南二等奖的程序，大家可以参考下
- 2021-05-06下载
- 积分：1
