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2016 IEEE International Conference on Mechatronics and Automation最新文献

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Conditional fault tolerance properties of (n, k)-star graphs (n, k)-星图的条件容错性质
Pub Date : 2016-08-01 DOI: 10.1109/ICMA.2016.7558577
Yali Lv, Ang Wang, Yulong Xu
Conditional connectivity and conditional fault diameter have been proposed as two important parameters in estimating the fault tolerance property of interconnection networks. In this paper, we consider the conditional fault tolerance properties of (n, k)-star graphs through investigating the conditional connectivity and conditional fault diameter. We show that under the conditional fault assumption, where all neighbors of any vertex cannot be faulty simultaneously, the (n, k)-star graph Sn, k can tolerate up to n + k - 4 faulty vertexes. We also prove that in the worst case, the fault diameter is increased by 6 over the fault-free diameter.
提出了条件连通性和条件故障直径作为估计互连网络容错性能的两个重要参数。本文通过研究(n, k)-星图的条件连通性和条件故障直径,研究了(n, k)-星图的条件容错特性。我们证明了在任意顶点的所有邻居不可能同时发生故障的条件故障假设下,(n, k)-星图Sn, k最多可以容忍n + k - 4个故障点。我们还证明了在最坏情况下,故障直径比无故障直径增加6。
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引用次数: 0
Analysis of mechanical properties for membrane structure by the absolute nodal coordinate formulation 膜结构力学性能的绝对节点坐标分析
Pub Date : 2016-08-01 DOI: 10.1109/ICMA.2016.7558743
Y. Zhang, Rongqiang Liu, Hongwei Guo, Z. Deng, Haojiang Zhao
The absolute nodal coordinate formulation is suitable for the structural analysis with large rotation and deformation. The nodal coordinates include global displacement coordinates and slopes which are established in the global coordinate system without using any local coordinate, and the mass matrix is constant. In this paper, the static problem based on the absolute nodal coordinate formulation is proposed. The static equation and the equation of motion are built, and the static analysis and dynamics analysis for the membrane are carried out. In the static analysis, the Newton iteration method is used to solve the static equation. The maximum displacements of membrane are given under different positions and different sizes of force, and the calculated results agree well with the results of ANSYS. In the dynamic analysis, the motion of the membrane under impact is given, which states the vibration of the membrane clearly.
绝对节点坐标公式适用于大旋转和大变形的结构分析。节点坐标包括全局位移坐标和斜率,不使用任何局部坐标,在全局坐标系中建立,质量矩阵为常数。本文提出了基于绝对节点坐标公式的静力问题。建立了膜的静力方程和运动方程,并对膜进行了静力分析和动力学分析。在静力分析中,采用牛顿迭代法求解静力方程。给出了不同位置和不同受力大小下膜的最大位移,计算结果与ANSYS计算结果吻合较好。在动力分析中,给出了膜在冲击作用下的运动,清楚地说明了膜的振动。
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引用次数: 1
Design of the monitoring system for an ocean drilling rig 海洋钻井平台监测系统的设计
Pub Date : 2016-08-01 DOI: 10.1109/ICMA.2016.7558565
Chen Chen, Xu Liang, Yan Zhao, Zenghui Cao
With the advantages of reasonable structure, convenient installation and easy transportation, the module drilling rig instead of the traditional oil rig, has been more widely used in offshore oil fields. However, due to its module design, there are still some problems such as low-level of automation and difficulties of monitoring and management of the whole system. In this paper, a supervisory control and data acquisition (SCADA) system for WZ11-4N WHPB oil platform is designed according to the demand analysis. The system hardware includes master computers, slave computers and a communication network. The software is involved with the design of data management system, control program and the monitoring system. Construction of the SCADA system should achieve real-time monitoring and data sharing of drilling data resources. It should effectively improve the control level and system efficiency, also facilitate control experts to analyze and process the data, and then provide effective service and security for oil exploration.
模块化钻井平台以其结构合理、安装方便、运输方便等优点,取代了传统的石油钻井平台,在海上油田得到了更广泛的应用。但由于其模块化设计,整个系统还存在自动化程度低、监控管理困难等问题。本文根据需求分析,设计了WZ11-4N采油平台的监控与数据采集(SCADA)系统。系统硬件包括主机、从机和通信网络。软件部分包括数据管理系统、控制程序和监控系统的设计。SCADA系统的建设应实现钻井数据资源的实时监控和数据共享。有效提高控制水平和系统效率,方便控制专家对数据进行分析处理,为石油勘探提供有效的服务和安全保障。
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引用次数: 2
Guideline and design of a six-dimensional constraint gripper 六维约束夹持器的导则与设计
Pub Date : 2016-08-01 DOI: 10.1109/ICMA.2016.7558790
Hong Liu, Jun Wu, S. Fan, Zhiqi Li, M. Jin
This paper presents the guideline and mechanical design of a six-dimensional constraint gripper. A state vector is firstly defined to represent the position/orientation misalignment. After analysising three basic geometric constraint methods from the point of caging and immobilizing, we propose a reliable six-dimensional constraint gripper design guideline. The mechanical design is conducted with the guideline, consisting of four elementary constraint components. They constrain the relative mobility step by step. At last, simulation results verify that the gripper can effectively constrain the six-dimensional mobility gradually.
介绍了一种六维约束夹持器的工作原理及机械结构设计。首先定义一个状态向量来表示位置/方向不对准;从夹持和固定的角度分析了三种基本的几何约束方法,提出了一种可靠的六维约束夹持器设计准则。根据该准则进行机械设计,该准则由四个基本约束分量组成。它们逐步限制了相对流动性。最后,仿真结果验证了夹持器能有效地逐步约束机器人的六维移动能力。
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引用次数: 1
A visual target tracking algorithm based on improved Kernelized Correlation Filters 一种基于改进核相关滤波器的视觉目标跟踪算法
Pub Date : 2016-08-01 DOI: 10.1109/ICMA.2016.7558560
Yanghong Zhang, Chunnian Zeng, Hong Liang, Jie Luo, Fan Xu
Visual target tracking is one of fundamental research of computer vision field and play an important role in the surveillance application, but it is also one of the difficulties due to the instability of the tracking scene. In this paper, we analyze the major drawbacks of the original Kernelized Correlation Filter (KCF) tracker which causes tracking failure when target experience complicated scenarios such as deformation, heavy occlusion and scale variations. In order to alleviate these drawbacks, we propose an improved KCF tracker, The tracker adopts a cascade classifier which composed by Multi-scale correlation filter and NN classifier. In each frame the tracking results are estimated by the relative variation of the target size. Experimental results of benchmark sequences show that the proposed algorithm has favorably performance against state-of-the-art methods of accuracy and robustness.
视觉目标跟踪是计算机视觉领域的基础研究之一,在监控应用中发挥着重要作用,但由于跟踪场景的不稳定性,也是难点之一。本文分析了原有的核化相关滤波(KCF)跟踪器在目标经历变形、严重遮挡和尺度变化等复杂场景时导致跟踪失败的主要缺陷。为了克服这些缺点,我们提出了一种改进的KCF跟踪器,该跟踪器采用由多尺度相关滤波器和神经网络分类器组成的级联分类器。在每一帧中,通过目标尺寸的相对变化来估计跟踪结果。基准序列的实验结果表明,该算法在精度和鲁棒性方面都优于现有方法。
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引用次数: 4
Human brain activation network for Chinese character processing: An fMRI study 汉字处理的脑激活网络:功能磁共振成像研究
Pub Date : 2016-08-01 DOI: 10.1109/ICMA.2016.7558692
Xiujun Li, Jingjing Yang, Qi Li, Dan Tong, Jinglong Wu
Using functional magnetic resonance imaging (fMRI) or positron emission tomography (PET), much knowledge has been gained in understanding how the brain is activated during controlled experiments of language tasks in educated healthy subjects and in uneducated healthy subjects. While previous studies have compared performance between alphabetic subjects, few data were about Chinese-speaking individuals. In this study, we used fMRI to investigate brain activations in processing characters and figures by visual tasks in 13 Chinese subjects. Significant activation patterns were observed in the occipital regions, the temporal regions, the parietal regions, the frontal regions and cerebellum. We conclude that constellation of neural substrates is bilateral network for Chinese healthy subjects and the formation of this neural network is affected by the impact of education rather than experience.
利用功能性磁共振成像(fMRI)或正电子发射断层扫描(PET),人们已经获得了很多知识,以了解在受过教育的健康受试者和未受过教育的健康受试者的语言任务对照实验中,大脑是如何被激活的。虽然之前的研究比较了按字母顺序排列的受试者的表现,但很少有数据是关于说中文的人的。本研究利用功能磁共振成像(fMRI)研究了13名中国受试者在文字和图形视觉加工过程中的脑活动。在枕区、颞区、顶叶区、额叶区和小脑中观察到显著的激活模式。研究结果表明,中国健康受试者的神经底物群是一个双边网络,且该网络的形成受教育影响而非经验影响。
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引用次数: 1
MRI image segmentation by fully convolutional networks 全卷积网络的MRI图像分割
Pub Date : 2016-08-01 DOI: 10.1109/ICMA.2016.7558819
Yabiao Wang, Zeyu Sun, Chang Liu, Wenbo Peng, Juhua Zhang
With the development of various imaging technologies, medical imaging has been playing more important roles on providing scientific proof for doctors to make decisions on clinical diagnosis. At the same time, it is very important to excavate valuable information hidden in those images and take over some auxiliary medical works from doctors by the computer. Therefore, a large number of image segmentation methods, including some classic algorithms have been proposed and some of them perform well. In this paper, we built a deep convolutional neural network to segment the MRI brain images. Results show that the network has a good performance on segmentation of the gray and white matter of brains, it also had a good generalization ability.
随着各种影像技术的发展,医学影像在为医生进行临床诊断决策提供科学依据方面发挥着越来越重要的作用。同时,挖掘隐藏在这些图像中的有价值的信息,用计算机代替医生的一些辅助医疗工作是非常重要的。因此,人们提出了大量的图像分割方法,其中包括一些经典的算法,其中一些算法表现良好。在本文中,我们建立了一个深度卷积神经网络来分割MRI脑图像。结果表明,该网络在脑灰质和白质的分割上具有良好的性能,并具有良好的泛化能力。
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引用次数: 12
Analysis of bracing-constraint dynamics with energy-efficient for elbow-bracing manipulator 肘支撑机械手节能支撑约束动力学分析
Pub Date : 2016-08-01 DOI: 10.1109/ICMA.2016.7558968
Xiang Li, M. Minami, Han Han, Yanhui Wei
The configuration of elbow-bracing is built by imitating human's handwriting behavior that human can do accurate task with less consumption energy by bracing the elbow or hand on the task. In this paper, first, the motion equation of the elbow-bracing manipulator under constrained condition has been derived. Second, as the consumption energy is calculated based on the voltage and current of the motor, the equation of motion of the motor has been proposed. Then, a control method based on the constraint dynamics of the elbow-bracing manipulator is proposed to simultaneously control constraint force and hand's trajectory and elbow-bracing position in work space. Moreover, we focus on the energy-efficient of the elbow-bracing manipulator, and analysis the factors which have a great effect on the consumption energy, i.e. elbow-bracing position, constraint force. Finally, a simulation experiment for 4-link elbow-bracing manipulator has been conducted to reveal the effectiveness of energy-efficient for the elbow-bracing manipulator and the influence of the above two factors to the energy-efficient.
肘部支撑结构是通过模仿人类的书写行为来构建的,人类可以通过支撑肘部或手来完成精确的任务,消耗的能量更少。本文首先推导了受约束条件下肘关节支撑机械手的运动方程。其次,根据电机的电压和电流计算所消耗的能量,提出了电机的运动方程。在此基础上,提出了一种基于肘关节支撑机械手约束动力学的控制方法,可同时控制约束力、机械手轨迹和肘关节支撑在工作空间中的位置。此外,重点研究了肘支撑机械手的节能问题,分析了肘支撑位置、约束力等对能耗影响较大的因素。最后,对四连杆肘支撑机械手进行了仿真实验,揭示了肘支撑机械手节能的有效性以及上述两个因素对节能的影响。
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引用次数: 1
Study on the deformation measurement of structure based on fiber Bragg grating sensor 基于光纤光栅传感器的结构变形测量研究
Pub Date : 2016-08-01 DOI: 10.1109/ICMA.2016.7558910
Shuang Xiao, Mingyao Liu, Yu Zhijian, Zhang, K. Yun
The structure deformation monitoring is a significant basis for judging the operation state of device. In this study, the deformation monitoring system based on fiber Bragg grating sensor has been established. In the deformation monitoring system, the composite plate, support mechanism and loading device have been designed, and the simulation analysis which is utilized to determine the measurement points of fiber Bragg grating sensor has also been carried out. By using BP neural network and numerical analysis, the deflection value of plate can be obtained, and the deformation reconstruction of plate can also be realized. The plate deformation on-line monitoring experiment certifies that the deformation monitoring system based on fiber Bragg grating sensing network owns high sensitivity and good performance, the maximum measurement error is less than 0.32mm.
结构变形监测是判断装置运行状态的重要依据。在本研究中,建立了基于光纤光栅传感器的变形监测系统。在变形监测系统中,设计了复合板、支撑机构和加载装置,并进行了仿真分析,确定了光纤布拉格光栅传感器的测点。利用BP神经网络与数值分析相结合,得到板的挠度值,实现板的变形重建。通过平板变形在线监测实验证明,基于光纤光栅传感网络的变形监测系统灵敏度高、性能好,最大测量误差小于0.32mm。
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引用次数: 2
Muscle synergy analysis of a set of lower extremity movements in quiet standing scenario: A preliminary study 静站立情景下下肢运动的肌肉协同分析:初步研究
Pub Date : 2016-08-01 DOI: 10.1109/ICMA.2016.7558926
Zhan Li, Hong Cheng, Ziguang Yin
Human joint movement is resulted from consequential contractions of multiple muscles, and the associated multiple muscles operate in a coordinate manner which is usually called muscle synergy. In a physiological sense, muscle synergy reflects the human muscles natural coordination patterns, driven by neural commands dispatched from the central nerve system (CNS). For different specific movement of human, the related muscle groups can present different coordination patterns correspondingly. This paper investigates the muscle synergy patterns with different movement in sagittal plane for one healthy subject during quiet standing scenario without disturbance of external force. Non-negative matrix factorization (NMF) algorithm is applied to extract the muscle synergies of eight muscles of lower extremity corresponding to specific movement, e.g., back leaning, squatting, and stepping. The paper analyzes the muscle synergy patterns considering combinations of knee and ankle joint flexion directions.
人体的关节运动是由多块肌肉的相应收缩引起的,而相关的多块肌肉以一种通常被称为肌肉协同的协调方式运作。在生理意义上,肌肉协同反应了人体肌肉的自然协调模式,由中枢神经系统(CNS)发出的神经指令驱动。对于人体不同的特定运动,相关的肌群会相应呈现出不同的协调模式。本文研究了一个健康受试者在无外力干扰下静站立时矢状面不同运动方式下的肌肉协同模式。采用非负矩阵分解(NMF)算法提取下肢八块肌肉对应特定动作的肌肉协同效应,如后倾、下蹲、踏步等。分析了考虑膝关节和踝关节屈曲方向组合的肌肉协同模式。
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引用次数: 1
期刊
2016 IEEE International Conference on Mechatronics and Automation
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