STC12C5410的实用射频卡读卡电路设计

介绍基于STC12C5410单片机的射频卡读卡电路.该电路充分利用单片机丰富的片内资源,使用定时器T0控制I/O口产生125 kHz频率载波信号,PCA工作在16位定时器模式,对读卡电路处理后的波形采样,然后解码曼彻斯特码获取卡内信息.本文介绍的读卡电路相比于目前德国Temic公司生产的射频卡基站读写专用芯片U2270B,大大降低了成本.     

校园多媒体课堂门禁设计

采用MIFARE完成IC读卡器射频天线相关的设计,提出具体射频天线和对应匹配电路的设计要求,以达到无接触式读卡通信的最佳性能.对射频卡的数据结构,数据传输的方式,相关的时序,典型电路的设计参数,匹配电路,电磁兼容性电路,数据安全性与完整性,门禁控制方式等进行了详尽地探讨,并给出了一个根据射频天线接口电路理论和无接触读卡通信协议设计出校园多媒体课堂的门禁系统.非接触式高频射频卡用于门禁系统,克服了传统门禁功能单一,升级困难,保密性差的缺点,是各类门禁系统的发展方向.     

125KHz读卡器的设计

本文利用WM-01T射频模块设计出低频125KHz读卡器,介绍了读卡器的整体结构及工作原理,给出了读卡器的设计电路图,并利用KEIL C51对其进行编程.通过调试,该读卡器能够实现对射频卡的读卡操作,并且与上位机稳定通信.     

一种射频识别系统读写器的设计

介绍MFRC522射频读卡芯片的特点。设计一种基于MFRC522的射频读写器,给出了详细的硬件电路以及软件操作流程,可实现对Mifare 1射频卡的读写以及数值增减操作。     

基于双判定因子的道路绿化带分割

以高速公路的无人机影像点云数据为研究对象, 提出一种基于双判定因子的道路绿化带分割算法. 首先对点云数据进行串行下采样, 在降低点云数目的同时尽可能多地保留点云特征点; 其次, 对降采样后的点云数据进行正射影校正; 最后, 提出一种结合法向量夹角与 RANSAC 平面分割双判定的点云分割算法, 实现了对高速公路中绿化带的准确分割, 采用绿化带边界提取算法最终实现高速公路环境信息的分割. 以G85高速凤翔段的无人机影像点云作为实验数据, 分别采用本文算法、基于法向量夹角的分割算法、基于RANSAC平面拟合分割算法进行验证. 实验结果表明基于双判定因子的道路绿化带分割算法对环境噪点及离群点有较好的抗干扰性, 可以有效过滤路面高曲率点, 提取结果较好.     

主动式射频识别系统的设计与应用

设计一种工作于443 MHz频段的主动式射频识别系统的硬件结构,制定了物理层与数据链路层通信协议,描述了阅读器与射频卡工作流程,并给出系统待识别射频卡与被识别射频卡的关系曲线图。系统采用随机推迟防碰撞算法,提高了可靠性和识别率。射频卡工作于休眠工作模式延长了系统可持续使用时间。识别卡为120张,识别时间为8 s时,识别率可达98.33%。     

FM集成模型在广告点击率预估中的应用

目前广告点击率预估所用的模型对于稀疏、类别分布不平衡的广告数据学习能力有限。针对这一问题,在数据分桶采样的基础上,提出利用因子分解机集成模型进行广告点击率的预估。利用迭代决策树算法提取的高层特征作为因子分解机的输入特征进行自动组合,发现特征间的相关性,解决数据稀疏和不均衡分类问题。在Hadoop大数据平台环境中对迭代决策树算法+因子分解机的融合模型进行并行式训练,可减少时间成本。通过单模型实验、采样实验、模型集成实验以及模型对比实验,确定了最佳采样比例,并验证了集成基于因子分解机的集成模型的有效性。     

基于LPC54102的射频卡读写器设计

射频卡携带、使用方便,目前射频识别技术在NFC技术、身份识别、资产管理等行业都有非常广泛的应用。射频卡读写器是射频识别技术应用和开发中的核心部分。本文介绍了射频卡读写器的基本工作原理,阐述了系统的硬件电路设计和软件设计流程,重点介绍了天线的设计部分。其中,读卡模块和天线电路是本设计的核心。本设计采用LPC54102双核处理器作为主控制器、FM17522芯片作为读卡芯片完成读卡器硬件的制作和调试。经测试本设计可行,谐振频率为13.49MHz,感应距离为8.6cm。本设计的读写器性能优越,具有硬件结构简单、处理速度快、成本低、功耗低等优点,可以在各行业广泛应用,具有推广价值。     

互联网流采样技术综述

网络流量测量对网络管理、网络监控、网络设计和网络规划具有重要的意义.由于网络带宽以摩尔速率增长,流采样作为一种以有限资源实时获取网络运行状况的方式引起了广泛的关注.文章在分析早期流采样技术现状及不足的基础上,详细综述了大流采样算法、流公平采样算法、全流采样算法及异常检测流采样算法四种互联网流采样技术,对四种技术的性能指标给出了理论分析及证明,最后展望了互联网流采样技术可能发展的四个方向.     

基于射频识别技术(RFID)的汽车防盗系统开发设计

作为热门的电子产品之一,射频识别装置受到市场的追捧,射频电子技术的市场潜力非常巨大,论文将射频识别技术(Radio Frequency Identification Technology)应用在汽车防盗系统中,文中提出的射频识别装置由两部分组成,分别是汽车启动顶部的应答器和内部的阅读器构成,对整个装置的硬件和软件系统进行设计开发,首先搭建硬件系统的整体框架进行,重点对射频卡读写电路进行设计,包含射频电源和外围元件的选择以及射频电路的设计,软件系统设计方面,重点研究了读卡和写卡软件设计,给出了相应的时序图和程序流程图,达到了射频程序可靠读写的目的;结论表明,射频识别装置避免了市场上使用电池遥控装置,有效地实现了汽车防盗的目的。     

EPC Gen2系统读卡效率与距离的关系研究

在EPC Gen2系统应用中,发现标签卡与读卡器间的距离对EPC Gen2系统读卡效率影响较大:距离增大使部分标签卡反馈给读卡器的信号变得很弱而无法识别;需要并发识别多张标签卡时,距离增大使反射信号相对较弱的部分标签卡发出的信号更难到达读卡器。对上述问题进行了量化实验,得到如下结果:当标签卡与读卡器间的距离为3 m时,没有出现漏读标签卡的情况,并且读取时间较短;当标签卡与读卡器间的距离为5 m时,出现个别标签卡在2 min内无法读取到的情况。实验结果表明,随着标签卡与读卡器间的距离增大,EPC Gen2系统读卡速率和读取率明显下降,EPC Gen2系统不适用于需要远距离并发识别多张标签卡且可靠性要求较高的场合。     

A deep learning based bank card detection and recognition method in complex scenes

With the widespread use of mobile Internet, mobile payment has become a part of daily life, and bank card recognition in natural scenes has become a hot topic. Although printed character recognition has achieved remarkable success in recent years, bank card recognition is not limited to traditional printed character recognition. There are two types of bank cards: unembossed bank cards, such as most debit cards which usually use printed characters, and embossed bank cards, such as most credit cards which mainly use raised characters. Recognition of raised characters is very challenging due to its own characteristics, and there is a lack of fast and good methods to handle it. To better recognize raised characters, we propose an effective method based on deep learning to detect and recognize bank cards in complex natural scenes. The method can accurately recognize the card number characters on embossed and unembossed bank cards. First, to break the limitation that YOLOv3 algorithm is usually used for object detection, we propose a novel approach that enables YOLOv3 to be used not only for bank card detection and classification, but also for character recognition. The CANNYLINES algorithm is used for rectification and the Scharr operator is introduced to locate the card number region. The proposed method can satisfy bank card detection, classification and character recognition in complex natural scenes, such as complex backgrounds, distorted card surfaces, uneven illumination, and characters with the same or similar color to the background. To further improve the recognition accuracy, a printed character recognition model based on ResNet-32 is proposed for the unembossed bank cards. According to the color and morphological characteristics of embossed bank cards, raised character recognition model combining traditional morphological methods and LeNet-5 convolutional neural network is proposed for the embossed bank cards. The experimental results on the collected bank card dataset and bank card number dataset show that our proposed method can effectively detect and identify different types of bank cards. The accuracy of the detection and classification of bank cards reaches 100%. The accuracy of the raised characters recognition on the embossed bank card is 99.31%, and the accuracy of the printed characters recognition on the unembossed bank card reaches 100%.

     

An interactive design system for pop-up cards with a physical simulation

We present an interactive system that allows users to design original pop-up cards. A pop-up card is an interesting form of papercraft consisting of folded paper that forms a three-dimensional structure when opened. However, it is very difficult for the average person to design pop-up cards from scratch because it is necessary to understand the mechanism and determine the positions of objects so that pop-up parts do not collide with each other or protrude from the card. In the proposed system, the user interactively sets and edits primitives that are predefined in the system. The system simulates folding and opening of the pop-up card using a mass?Cspring model that can simply simulate the physical movement of the card. This simulation detects collisions and protrusions and illustrates the movement of the pop-up card. The results of the present study reveal that the user can design a wide range of pop-up cards using the proposed system.     

VS1053B编解码器的VDR分布式声音采集卡设计

为了满足未来航行数据记录仪声音采集卡分布式、低成本、低功耗和高可靠性的要求,以STM32F103为核心控制器,结合VS1053B音频编解码芯片和W5300以太网通信芯片设计了一种采用OggVorbis声音编码算法的分布式声音采集卡,给出了声音采集卡的软硬件设计。在硬件设计上,采用了独立的可加载OggVorbis声音编码算法以及内置TCP/IP协议栈的嵌入式芯片,降低了系统的功耗和软件设计的复杂性,增强了系统的灵活性和可靠性。     

智能卡COS的快速烧写技术研究与实现

对智能卡COS现有USB、串口读写器的烧写技术进行了研究与分析,提出了一种以ARM处理器为母片硬件平台,通过智能卡接口对其他智能卡COS进行快速烧写的片拷贝方法。该方法具有硬件设计简单、烧写速度快,稳定性、安全性高等优点,且易于扩展为批量智能卡COS烧写器平台。目前该技术已在贴片智能卡生产厂商得以全面应用,大大提高了COS的烧写效率,具有较好的应用前景。     

基于IC卡的汽车尾气排放检测数据管理信息系统的设计与实现

虽然国家已经制定了严格的汽车尾气排放标准,尾气检测依然是目前我国环保的薄弱环节,尾气检测方式和尾气排放检测数据管理方式都有待提高。本文利用接触式IC卡和管理信息系统技术设计并实现了一套汽车尾气排放检测数据管理信息系统,主要完成对CO、NO、烟度等汽车排放的尾气信息进行采集、入库、写卡、读卡、查询、导入导出及权限、用户管理等功能。该系统有助于提高我国汽车尾气排放检测和数据管理水平,为实现汽车尾气排放检测管理的科学化、信息化和现代化打下坚实的基础。     

基于状态仲裁的锁位防碰撞算法

结合动态后退式算法,提出一种基于状态仲裁的锁位防碰撞算法。融合锁位和多状态的思想,对搜索到的卡号进行锁位判断,在搜索过程中不断对卡号完成状态分割,在2个准备态直接仲裁出2张卡,并对其进行数据操作,从识别次数和传输位数方面分析算法的性能。仿真结果表明,该算法能减少识别次数和传输位数,节省搜索时间。     

FM1208非接触CPU卡读写系统的研制

在对非接触逻辑加密卡Mifare和非接触CPU卡比较的基础上,介绍我国自主研发的复旦FM1208非接触CPU卡的特点及性能,并给出读写FM1208卡硬件系统的配置及选型,以及软件设计的参考流程,为已经大量使用的Mifare卡的门禁、考勤、通道管理、消费以及公用事业等应用领域提供了良好的升级解决方案。     

Hardware support for adaptive tessellation of Bézier surfaces based on local tests

Bézier representations have been widely employed as a standard way of designing complex scenes with very good quality results. These surfaces are usually tessellated, in the software application, into triangle models to be rendered. Then, the final image is generated in the graphics card so that its triangle rendering capabilities are exploited.In this work we present an adaptive tessellation algorithm and the corresponding architecture to be implemented in hardware. The objective of the proposal is to avoid the potential bottleneck associated with the transmission of complex triangular models from CPU to graphics cards. The algorithm we propose is based on a layer strip representation method and a new data management that permits generation and efficient storage of the tessellated mesh. The corresponding architecture has to be included as an additional unit at the input of the graphics card. As a consequence, the transmission requirements from CPU to graphics card are greatly reduced as the tessellation is performed in the graphics card. On the other hand, the adaptive strategy employed permits selection of the number of triangles of the final mesh as a trade off between computational requirements and quality of the final mesh. The efficient data management proposed, together with the low storage requirements of the architecture, makes it a good candidate for its hardware implementation and inclusion in future graphics cards.     

基于89C51的IC卡读写器设计与实现

本文主要介绍了一种新型的IC卡读写终端的设计,IC卡读写终端是一个单片机嵌入式应用系统。论文从IC卡的国际标准入手,介绍了实现IC卡数据存储的控制方法,并以西门子公司的SLE4442型逻辑加密卡为基础,详细分析了单片机控制IC卡数据读写的软、硬件实现。