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介绍地铁AFC系统的基本组成和自动售票机的工作原理.讲述了自动售票机系统软硬件的设计框架,并针对硬件模块进行详细的描述,介绍各个模块在TVM中的功能组成以及软硬件设计方案. 相似文献
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介绍地铁自动售票机(TVM)纸币处理器设备驱动程序编写所涉及的相关技术,主要包括设计模式中的状态模式,并辅之以Windows线程同步技术。结合这2种技术实现工控机和纸币处理器的交互和通信。该方法对符合RS-232的设备的驱动程序编写有着一定的参考意义。 相似文献
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为丰富乘客的购票支付方式,提高出行体验,地铁自动售票机(TVM)系统引入移动支付功能具有一定的必要性。本文分析地铁互联网售票机的软件系统框架,对移动支付功能进行设计,提出移动支付与地铁自动售票机的结合形式和工作流程。根据本方案设计的互联网售票机已经应用到南京地铁自动售检票(AFC)系统中,通过测试验收,验证了该方案的可行性,对其他城市的地铁自动售票机移动支付功能的开发有着一定的参考意义。 相似文献
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在科技日益发展的今天,地铁交通运输方式已经成为城市的重要交通方式,该种交通运输方式的出现,在加大程度上缓解了我国城市的交通压力,因此,在城市交通中,地铁交通运输方式占据着极为重要的地位.为了能够更好的提升地铁运输效率,自动售票机系统得到了广泛应用.其原因在于,自动售票系统拥有快捷、方便以及安全等优点.本文主要针对地铁自动售票机软件系统展开深入剖析,旨在为地铁自动售票机软件系统更好的发挥其作用奠定坚实的基础. 相似文献
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为了实现通过Allegro软件对PCB板卡数据自动采集、录入、保存等功能,研究基于SKILL语言的Allegro软件二次开发和IPC通信原理,提出并设计一种Allegro软件基于MySQL数据库的数据录入系统。根据实际数据存取需求及用户权限,设计前端数据采集模块和网页显示模块,在前端数据采集模块中,通过研究IPC通信,制定通信协议,并结合SKILL语言、Python语言编写通信接口,实现Allegro软件与MySQL数据库通信;网页显示模块使用Java语言用于对数据进行展示和处理。最后对数据录入系统进行功能测试,测试证明能够达到预期效果。系统中Allegro软件与MySQL数据库通信协议设计以及通信接口设计是系统的关键设计,系统数据采集模块的实现对后续Allegro软件与其他语言通信、网页端功能扩展具有很大的参考价值。 相似文献
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《电子制作.电脑维护与应用》2019,(23)
城市化进程的加快,使我国目前的轨道交通发展更加迅速,随之而来的城市交通出去问题近年来也广受各界人士关注。自动售票机充值模块的技改设计,主要为了保障乘客使用异型公交充值卡充值的需求,节约运营成本。本文基于自动售票机充值模块在适用过程中出现的问题等使用反馈,浅谈自动售票机异形卡充值模块的机械、电路与程序相关设计。 相似文献
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地图匹配( MM)算法通过粒子滤波( PF)利用室内地图信息来抑制基于惯性传感器的室内定位系统的误差累计。利用区域生长( RG)算法结合当前步长和方向信息在地图上找到合理的落脚范围,并以此来判断粒子的有效性。这种方法能有效改善地图配准算法的实用性和计算复杂度。提出一种改进的零速度( ZV)检测算法能准确提取步伐信息,间接提升了零速度更新( ZUPT)算法和地图配准算法的精度。实验结果表明:该算法的定位误差小于1.0%,定位精度比单纯的航位推算( DR)算法平均提高了5.97%。 相似文献
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This research investigates the impact of intellectual capital components on the competitive advantage in the Jordanian telecommunication companies. The empirical findings indicate that the relational capital and the structural capital have positive impact on competitive advantage. Both the relational capital and the structural capital account for 48.4% of the competitive advantage. It is unexpected to find that the human capital does not have a significant direct impact on competitive advantage. However, it is valid to state that the human capital indirectly and significantly influences competitive advantage as it is embedded in the relational capital. The effect of the relational capital on competitive advantage is moderated by gender and age. The effect is strongest among younger men. In the case of the structural capital its effect is moderated by gender only such that the effect is slightly stronger for females rather than males. 相似文献
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一、引言计算机仿真接口界面,随着计算机软硬件的不断提高也在快速地变化着。从其发展趋势中我们不难看出这一点:从早期的命令行提示编辑Command Line,到全屏幕菜单编辑(Menu based Editor),再到图形用户界面Graphic User In-terface(GUI),界面在不断追求如何更好地适应用户、与用户更直接地交互。其具体特点包括自然而又丰富的色彩、逼真而又完美的几何造型、柔和而又动听的环境声响、质感而又具有力反馈的实物等。这些人们所需要的真实感,一种技术是难以胜任的,它需要各种软、硬件技术的综合与集成。从目前的趋 相似文献
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S. Suja Priyadharsini 《Applied Soft Computing》2012,12(3):1131-1137
Electroencephalography (EEG) is the recording of electrical activity of neurons within the brain and is used for the evaluation of brain disorders. But, EEG signals are contaminated with various artifacts which make interpretation of EEGs clinically difficult. In this research paper, we use a soft-computing technique called ANFIS (Adaptive Neuro-Fuzzy Inference System) for the removal of EOG artifact, combined EOG and EMG artifact. Improvement in the output signal to noise ratio and minimum mean square error are used as the performance measures. The outputs of the proposed technique are compared with the outputs of techniques such as neural network, based on ADALINE (Adaptive Linear Neuron) and adaptive filtering method, which makes use of RLS (Recursive Least Squares) algorithm through wavelet transform (RLS-Wavelet). The obtained results show that the proposed method could significantly detect and suppress the artifacts. 相似文献
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The Prize-collecting Steiner Tree Problem (PCSTP) is a well-known problem in graph theory and combinatorial optimization. It has been successfully applied to solve real problems such as fiber-optic and gas distribution networks design. In this work, we concentrate on its application in biology to perform a functional analysis of genes. It is common to analyze large networks in genomics to infer a hidden knowledge. Due to the NP-hard characteristics of the PCSTP, it is computationally costly, if possible, to achieve exact solutions for such huge instances. Therefore, there is a need for fast and efficient matheuristic algorithms to explore and understand the concealed information in huge biological graphs. In this study, we propose a matheuristic method based on clustering algorithm. The main target of the method is to scale up the applicability of the currently available exact methods to large graph instances, without loosing too much on solution quality. The proposed matheuristic method is composed of a preprocessing procedures, a heuristic clustering algorithm and an exact solver for the PCSTP, applied on sub-graphs. We examine the performance of the proposed method on real-world benchmark instances from biology, and compare its results with those of the exact solver alone, without the heuristic clustering. We obtain solutions in shorter execution time and with negligible optimality gaps. This enables analyzing very large biological networks with the currently available exact solvers. 相似文献
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Wavelet-based envelope features with automatic EOG artifact removal: Application to single-trial EEG data 总被引:1,自引:0,他引:1
Wei-Yen Hsu Chao-Hung LinHsien-Jen Hsu Po-Hsun ChenI-Ru Chen 《Expert systems with applications》2012,39(3):2743-2749
In this study, we propose an analysis system for single-trial classification of electroencephalogram (EEG) data. Combined with automatic EOG artifact removal and wavelet-based amplitude modulation (AM) features, the support vector machine (SVM) classifier is applied to the classification of left finger lifting and resting. Automatic EOG artifact removal is proposed to eliminate the EOG artifacts automatically by means of independent component analysis (ICA) and correlation coefficient. The features are then extracted from the discrete wavelet transform (DWT) data by the AM method. Finally, the SVM is used for the discriminant of wavelet-based AM features. Compared with EEG data without EOG artifact removal, band power features and LDA classifier, the proposed system achieves promising results in classification accuracy. 相似文献
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单通道脑电信号眼电伪迹去除算法研究 总被引:5,自引:2,他引:3
由眨眼和眼动产生的眼电伪迹(Electrooculography,EOG)信号是脑电信号(Electroencephalography,EEG)中的主要噪声信号之一.目前,多通道脑电信号中眼电伪迹的去除算法已经较为成熟.而在单通道脑电信号的眼电伪迹去除中,由于采集通道数量较少且缺乏参考眼电信号,目前尚无十分有效的去除方法.本文提出一种基于小波变换(Wavelet transform,WT)、集合经验模态分解(Ensemble empirical mode decomposition,EEMD)和独立成分分析(Independent component analysis,ICA)的WT-EEMD-ICA单通道脑电信号眼电伪迹去除算法.实验表明:WT-EEMD-ICA算法有效地解决了单通道WT-ICA算法中的超完备问题,能够有效去除单通道脑电信号中的眼电伪迹,并且分离出的眼电伪迹成分与参考通道采集的眼电信号相关性较强. 相似文献