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2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)最新文献

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The kinematic performance optimization of a 2-DoF parallel robot based on new variance indices 基于新方差指标的二自由度并联机器人运动学性能优化
Qi Hao, Shizhong Li, Bo Liu
The kinematic performance optimization of a 2-PRR parallel robot based on new variance indices is given in this paper. First, the inverse kinematic equation of the 2-PRR parallel robot is derived. Then the velocity performance evaluable indices LCI and GCI, the stiffness performance evaluable indices LSI and GSI are analyzed. To consider the distribution of the LCI and LSI in the global indices, two new global kinematic performance indices GCVI and GSVI, which are based on variance calculation, are given. Furthermore, the kinematic performance optimization based on the four global indices is derived. From the simulation result, it can be found that the optimization method based on multi indices can improve the kinematic performance of the parallel robot well.
提出了一种基于方差指标的2-PRR并联机器人运动学性能优化方法。首先,推导了2-PRR并联机器人的运动学逆方程。然后分析了速度性能评价指标LCI和GCI,刚度性能评价指标LSI和GSI。考虑到LCI和LSI在全局指标中的分布,提出了基于方差计算的全局运动学性能指标GCVI和GSVI。在此基础上,推导了基于这四个全局指标的运动学性能优化方法。仿真结果表明,基于多指标的优化方法能较好地改善并联机器人的运动性能。
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引用次数: 2
Realization of the motor data acquisition and analyzation system based on the producer/consumer model of LabVIEW 基于LabVIEW生产者/消费者模型的电机数据采集与分析系统的实现
Sheng Zhi-yu
To solve the problems of motor's data acquisition system's low automation level, too less data channel, limited apply areas. This paper introduced a kind of motor's data acquisition and analyzation system which were developed based on producer/consumer model and LabVIEW program. This system can fulfil the tasks of multi-channel data acquisition, data analyzation and display, data saving and loading. By setting two different data acquiring frequencies, that's 2kHz and 20kHz, to acquire the same signal that produced by the signal generator and analyzing the data that were acquired. According to the analysis and data fitting results the benefits and short comes was concluded. These tests suggested that the signal can be represented by this two kind of data acquiring frequency and the standard error that the 2kHz had is bigger than that of 20kHz had. So, the test's result proved that this system works well and easy to realize.
解决了电机数据采集系统自动化程度低、数据通道少、应用领域有限等问题。本文介绍了一种基于生产者/消费者模型和LabVIEW程序开发的电机数据采集与分析系统。该系统能够完成多通道数据采集、数据分析与显示、数据保存与加载等任务。通过设置2kHz和20kHz两个不同的数据采集频率,获取信号发生器产生的相同信号,并对采集到的数据进行分析。根据分析和数据拟合结果,总结了该方法的优缺点。实验表明,信号可以用这两种数据采集频率表示,且2kHz的标准误差大于20kHz的标准误差。测试结果表明,该系统运行良好,易于实现。
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引用次数: 1
Water level prediction based on improved grey RBF neural network model 基于改进灰色RBF神经网络模型的水位预测
Jian Zhang, Yuansheng Lou
For in RBF neural network prediction results by random sample of thus affecting prediction accuracy, using the grey prediction model of RBF network is trained, can weaken the randomness of data greatly, so the combination of neural network and grey prediction, construct grey RBF neural network by network model, and hydrological forecasting can improve the accuracy of hydrological forecast. But if the gray scale data is large, due to the parameters of the model of GM (1,1, θ), leads to poor prediction accuracy. In this regard, GM (1, 1, θ) model and use ant colony algorithm to improve its, and the prediction precision can be improved In the construction of RBF network, due to the implicit function node has been relying on the actual experience to determine, with instability, and choose to use the golden section method to determine the hidden nodes. The forecast results show that the grey RBF neural network forecasting model has higher precision and better generalization ability, and it has practical value.
对于在RBF神经网络预测结果中受到随机样本的影响从而影响预测精度,利用RBF网络的灰色预测模型进行训练,可以大大削弱数据的随机性,因此将神经网络与灰色预测相结合,通过网络模型构建灰色RBF神经网络,进行水文预测,可以提高水文预测的精度。但当灰度数据较大时,由于模型的参数GM为(1,1,θ),导致预测精度较差。对此,采用GM (1,1, θ)模型并利用蚁群算法对其进行改进,其预测精度可以得到提高。在构建RBF网络时,由于隐式函数节点一直依靠实际经验来确定,具有不稳定性,而选择使用黄金分割法来确定隐式节点。预测结果表明,灰色RBF神经网络预测模型具有较高的精度和较好的泛化能力,具有实用价值。
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引用次数: 6
A multi-variables algorithm for dynamic reconfiguration of real-time distributed systems 实时分布式系统动态重构的多变量算法
M. M. Soidridine, Konate Karim
In this article, we address the problem of dynamic reconfiguration of systems. This problem is related to the operability of real-time systems with high availability, suffering multiple and recurrent deterioration of their performance. We propose in this paper a dynamic and multi-variable algorithm for the reconfiguration of such systems. This algorithm ensures the necessary reconfigurations to optimize the configurations of a system, whenever performance degradation occurs, in order to restore it to its optimal operating conditions. To achieve this goal, the algorithm dynamically determines the new viable configurations corresponding to the current degraded configurations. Then it ensures the transitions between these configurations, while reducing the consumption of temporary resources and generated overhead. The results of our experimenting show that the proposed algorithm yields significant results against the reference works, found in the specialized literature, dealing with the solving of such problems.
在本文中,我们讨论了系统的动态重构问题。该问题涉及高可用性实时系统的可操作性,其性能会多次反复恶化。本文提出了一种动态多变量重构算法。该算法确保必要的重新配置,以优化系统的配置,无论何时发生性能下降,以恢复其最佳的操作条件。为了实现这一目标,该算法动态确定与当前退化配置相对应的新的可行配置。然后,它确保这些配置之间的转换,同时减少临时资源的消耗和生成的开销。我们的实验结果表明,所提出的算法在处理此类问题的专业文献中的参考作品中产生了显著的结果。
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引用次数: 0
CT image based 3D orbital prosthesis model construction method 基于CT图像的三维眶假体模型构建方法
Chunyuan Xu, Shuang-Fei Li, Lisheng Wang, Caiwen Xiao
To solve the clinical problem of constructing an aesthetic and appropriate orbital prosthesis model, two methods based on volume cutting and surface cutting respectively are proposed in this paper. Using spline interpolation, region growth, triangular patch calculation, cylinder cutting and other techniques, we obtain the 3D orbital prosthesis model with a proper size and smooth edges. Besides, a visual feedback mechanism is added in the process of prosthesis construction to make the prosthesis model fit the defect part better. The results show that the CT image based 3D orbital prosthesis model construction method in this paper significantly improves the clinical acceptability and effectiveness.
为了解决临床构建美观合适的眶假体模型的难题,本文分别提出了基于体积切割和表面切割的两种方法。利用样条插值、区域生长、三角补片计算、圆柱切割等技术,获得了尺寸合适、边缘光滑的三维眶假体模型。此外,在假体构建过程中加入视觉反馈机制,使假体模型更好地贴合缺陷部位。结果表明,本文基于CT图像的三维眶假体模型构建方法显著提高了临床可接受性和有效性。
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引用次数: 1
APA with evolving order and variable step-size for echo cancellation 基于演化阶跃和变步长的回声消除方法
Mingfeng Zhu, Linghua Zhang
Variable step-size APA (VSS-APA) has become one of the most popular algorithm in the application of acoustic feedback cancellation, the step of VSS-APA is adjusted based on the error vector magnitude, which leads to faster convergence and smaller steady-state error. However, the high computational complexity of this algorithm limits its wide application. The computational complexity of APA is tremendously growth with the projection order increasing, to reduce the computational complexity, we propose a evolving projection order (E-APA) version based on VSS-APA, called VSS-E-APA. The simulation results indicate that the proposed algorithm obtains a much reduced numerical complexity with faster convergence and lower misalignment.
变步长APA (Variable step-size APA, VSS-APA)已成为声反馈对消中应用最广泛的算法之一,VSS-APA的步长是根据误差矢量的大小来调整的,具有收敛速度快、稳态误差小的优点。然而,该算法的高计算复杂度限制了其广泛应用。随着投影阶数的增加,APA的计算复杂度急剧增加,为了降低计算复杂度,我们提出了一种基于VSS-APA的进化投影阶数(E-APA)版本,称为VSS-E-APA。仿真结果表明,该算法大大降低了数值复杂度,收敛速度快,误差小。
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引用次数: 1
Study of automatic annotation based on news tags 基于新闻标签的自动标注研究
F. Wang, Shuhong Wen
In recent years, with the rapid development of Internet technology and digital media technology, information dissemination has entered the era of media integration. Meanwhile, the support of big data technologies promotes the deep integration of traditional media and new media. The media industry is undergoing profound changes. The management and dissemination of news are not only faced with opportunities, but also faced many challenges. How to push the news and customized content to users timely and dynamically, so as to save the searching time, becomes a hot area of current research. A news correlation approach based on tags is proposed to provide users with a personalized news service. The system takes advantage of the network information crawling, web-based text mining and personalized recommendations technologies to realize automated extraction of news tag. The innovation of this mode is that the tag contains both categories and keywords. It contains a classification subject to the advantage of clustering, but also includes the theme of keywords intuitive expression. In other words, it matches the user's search habits. Thus, this system can improve the ability to retrieve and manage the news.
近年来,随着互联网技术和数字媒体技术的飞速发展,信息传播进入了媒介融合时代。同时,大数据技术的支撑,促进了传统媒体与新媒体的深度融合。传媒业正在经历深刻变革。新闻的管理与传播既面临着机遇,也面临着诸多挑战。如何及时、动态地向用户推送新闻和定制内容,从而节省搜索时间,成为当前研究的热点领域。提出了一种基于标签的新闻关联方法,为用户提供个性化的新闻服务。该系统利用网络信息抓取、基于web的文本挖掘和个性化推荐技术,实现了新闻标签的自动提取。这种模式的创新之处在于标签同时包含类别和关键字。它既包含了分类主题的聚类优势,又包含了主题关键词的直观表达。换句话说,它符合用户的搜索习惯。从而提高了新闻检索和管理的能力。
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引用次数: 0
Based on hybrid algorithm of distributed power islanding detection 基于混合算法的分布式电力孤岛检测
Wang Huayang, Yang Zuyuan, Zhao Long, Cui Yuan
Micro-grid is being developed as a building block for the future of smart grid systems. Islanding detection is a big challenge, the connection of distributed generation (DG) in the power system. Islanding detection method is divided into three groups based on the method of communication, active and passive methods. Method-based communication tools are built on communication and DGS there are restrictions on the use of expensive and inconvenient. A proactive system interference, system interference analysis. This paper proposes a method of using a voltage imbalance islanding detection method (VU) and high frequency (HF) impedance. The proposed method combines the advantages of active and passive technologies. Further, since the active methods used, the paper does not change any system variable as an interference, it does not cause any instability.
微电网正在被开发为未来智能电网系统的基石。孤岛检测是分布式发电并网系统中的一大难题。孤岛探测方法根据通信方法分为三组,主动式和被动式方法。基于方法的通信工具是建立在通信和DGS的基础上的,使用上存在着昂贵和不便的限制。主动系统干扰,系统干扰分析。本文提出了一种采用电压不平衡孤岛检测法(VU)和高频阻抗相结合的方法。该方法结合了主动和被动技术的优点。此外,由于采用了主动方法,本文不改变任何系统变量作为干扰,因此不会引起任何不稳定性。
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引用次数: 3
Millimeter-wave compressive sensing imaging based on random phase modulation 基于随机相位调制的毫米波压缩感知成像
Zhonghao Deng, J. Bai, Yun-qi Fu
This paper presents a two-dimensional antenna array structure based on random phase modulation, which can be used in millimeter-wave compressive sensing imaging. The simulation results show that the target can be detected and imaged by this method when the sampling ratio is 30%. This paper provides a possible method to construct measurement matrix in millimeter-wave band.
提出了一种基于随机相位调制的二维天线阵列结构,可用于毫米波压缩感知成像。仿真结果表明,当采样率为30%时,该方法可以对目标进行检测和成像。本文提供了一种在毫米波波段构造测量矩阵的可能方法。
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引用次数: 2
Research on distributed data fusion model 分布式数据融合模型研究
Yan Jin, Lin Sun, Jing Song
Traditional data fusion function models only apply to a centralized system. To better the model, on the basis of analyzing the characteristics of the distributed system, in this paper, traditional data fusion function model are extended to the distributed framework from two aspects. Additionally, the distributed data fusion structure model corresponding to distributed data fusion function model is put forward. Finally, after analyzing internal dealing approach of the system nodes, dealing structures of the local and global fusion tracking are further refined.
传统的数据融合功能模型只适用于集中式系统。为了完善模型,本文在分析分布式系统特点的基础上,从两个方面将传统的数据融合功能模型扩展到分布式框架。此外,提出了与分布式数据融合功能模型相对应的分布式数据融合结构模型。最后,在分析系统节点内部处理方法的基础上,进一步细化了局部和全局融合跟踪的处理结构。
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引用次数: 0
期刊
2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)
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