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2016 IEEE International Conference on Information and Automation (ICIA)最新文献

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Visualization automatic programming system of bending machine based on machine vision 基于机器视觉的折弯机可视化自动编程系统
Pub Date : 2016-08-01 DOI: 10.1109/ICINFA.2016.7831897
Wenqiang Wu, Jialiang Xie, Guanghuan Chen, Hebang Lin, Lingqian Kong, Chunliang Zhang
Bending machine is the most widely used bending apparatus. With the development of machinery industry and the improvement of product quality, a visualization automatic programming system of bending machine based on machine vision was developed in order to meet the need of high-speed, automated, simplified and personalized production. Based on a CNC sheet metal bending machine with three degrees of freedom, the structure of the system takes industrial computer, image acquisition card and motion control card method, and the control software is developed by Visual Studio 2010, which has advantages of fast processing speed, high accuracy and low price. The system is based on the modular design method and is mainly composed by the machine vision measurement module, bending simulation module, motion control module, humancomputer interaction module, etc. In this paper, the bending machine system will be introduced and finally some simulation test of the modules will be presented.
折弯机是应用最广泛的折弯设备。随着机械工业的发展和产品质量的提高,为了满足高速、自动化、简化和个性化生产的需要,开发了一种基于机器视觉的折弯机可视化自动编程系统。该系统以三自由度数控钣金折弯机为基础,采用工控机、图像采集卡和运动控制卡的结构方式,控制软件采用Visual Studio 2010开发,具有处理速度快、精度高、价格低等优点。该系统采用模块化设计方法,主要由机器视觉测量模块、弯曲仿真模块、运动控制模块、人机交互模块等组成。本文将对弯管机系统进行介绍,并对各模块进行仿真测试。
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引用次数: 2
Passivity-based elastic joint robot control with on-line gravity compensation 基于被动的弹性关节机器人在线重力补偿控制
Pub Date : 2016-08-01 DOI: 10.1109/ICINFA.2016.7831797
Yanlei Ye, Chin-Yin Chen, Peng Li, Guilin Yang, Chang'an Zhu, Chi Zhang
In this paper, a passivity-based controller with the link side on-line gravity compensation for elastic joints of robot manipulators is presented. In this study, a joint level position, torque control law with double loop construction: an outer the motor side position control, and an inner torque feedback are considered. In terms of torque feedback, a physical interpretation is addressed and analyzed for the purpose controller via passivity theory. It is proved by a Lyapunov function that the control law is globally asymptotically stabilizes at any reference configuration. Moreover, the control performance of algorithm is assessed by a simulation; the simulation study reveals a better performance regarding as the torque ripple in contrast to a proportional-derivative (PD) control.
针对机械臂弹性关节,提出了一种基于无源性的连杆侧在线重力补偿控制器。本研究考虑了一种双回路结构的关节水平位置转矩控制律:电机侧位置控制为外部控制,转矩反馈为内部控制。在转矩反馈方面,通过无源性理论对目的控制器进行了物理解释和分析。利用Lyapunov函数证明了该控制律在任意参考组态处是全局渐近稳定的。通过仿真对算法的控制性能进行了评价;仿真研究表明,与比例导数(PD)控制相比,转矩脉动控制具有更好的性能。
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引用次数: 2
Convolutional neural network bottleneck features for bi-directional generalized variable parameter HMMs 双向广义变参数hmm的卷积神经网络瓶颈特征
Pub Date : 2016-08-01 DOI: 10.1109/ICINFA.2016.7831988
Rongfeng Su, Xunying Liu, Lan Wang
Recently, convolutional neural networks (CNNs) have been applied successfully to acoustic modelling in speech recognition. As the bottleneck features from CNNs contain inherently discriminative and rich context information, the standard approach is to augment the conventional acoustic features with the CNN bottleneck features in a tandem framework. To better capture the highly complex relationship between them, a novel bidirectional generalized variable parameter HMM (GVP-HMM) based approach is proposed in this paper. In this approach, the trajectories of continuous acoustic features space HMM parameters, as well as the model space linear transforms against CNN bottleneck features are modelled by polynomial functions. The optimal GVP-HMM model structure for each direction, which is determined by the locally varying polynomial parameters and degrees, can be automatically learnt using model selection techniques. The proposed bi-directional GVP-HMM based approach gave a word error rate of 12.22% on the Aurora 4 task. In particular, a significant error rate reduction of 18.09% relative was obtained over the baseline tandem HMM system using CNN bottleneck features on the secondary microphone channel condition.
近年来,卷积神经网络(cnn)已成功地应用于语音识别中的声学建模。由于来自CNN的瓶颈特征包含固有的判别性和丰富的上下文信息,标准的方法是在串联框架中用CNN瓶颈特征增强传统声学特征。为了更好地捕捉它们之间高度复杂的关系,本文提出了一种新的基于双向广义变参数HMM (GVP-HMM)的方法。该方法采用多项式函数对连续声学特征空间HMM参数的轨迹以及针对CNN瓶颈特征的模型空间线性变换进行建模。每个方向的最优GVP-HMM模型结构由局部变化的多项式参数和度决定,可以通过模型选择技术自动学习。提出的基于双向GVP-HMM的方法在Aurora 4任务上的错误率为12.22%。特别是,在二次传声器通道条件下,使用CNN瓶颈特征的基线串联HMM系统的错误率相对降低了18.09%。
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引用次数: 3
Impact mechanism of organizational culture on organizational effectiveness from competing values framework prospective in Chinese context 竞争价值框架视角下的中国组织文化对组织效能的影响机制
Pub Date : 2016-08-01 DOI: 10.1109/ICINFA.2016.7831847
Y. Song, Y. Le, Yaqin Wang
Organizational culture is context-specific and it can impact organizational effectiveness in certain mechanism. From Competing Values Framework (CVF) prospective, this study examines the correlations among organizational culture, organizational citizenship behavior (OCB), and organizational effectiveness. Furthermore, this study analyzes the possible mediating role of OCB in the relationship between organizational culture and organizational effectiveness. A questionnaire-based survey was used to measure the related constructs. The results suggest that OCB partially mediates the impact of organizational culture on organizational effectiveness. The results also indicate the feasibility of impact mechanism of organizational culture on effectiveness. The research findings provide the implications for project management literature and practices.
组织文化具有情境性,通过一定的机制影响组织的有效性。本研究从竞争价值观框架(CVF)的视角,探讨组织文化、组织公民行为与组织效能之间的关系。此外,本研究还分析了组织公民行为在组织文化与组织有效性关系中的中介作用。采用问卷调查来测量相关构念。研究结果表明,组织公民行为在组织文化对组织有效性的影响中起部分中介作用。研究结果也表明了组织文化对绩效影响机制的可行性。研究结果为项目管理文献和实践提供了启示。
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引用次数: 1
Development of a 3 freedom ankle robot to assist the rehabilitation training 3自由度踝关节机器人辅助康复训练的研制
Pub Date : 2016-08-01 DOI: 10.1109/ICINFA.2016.7832075
Weiguang Li, T. Sun, Chunbao Wang, L. Duan, Quanquan Liu, Yajin Shen, Q. Shi, Meng Li, Yulong Wang, J. Long, Jianjun Wei, Zhengzhi Wu
With the developments of robotics, more and more rehabilitation robots are used to assist traditional training in rehabilitation field. In this paper, a novel ankle robot combined with 3 degrees of freedom, full fill passive-active training, subjective awareness and objective training requirements was proposed. The requirement of ankle robot was analyzed based on the ankle physical structure and real rehabilitation. Based on traditional rehabilitation therapy, a novel robot-assist rehabilitation therapy to combine subjective awareness with objective training was proposed. In this robot, a novel mechanism structure of cross-circle was proposed to robot movement around ankle center. The mechanical structure includes four parts, adduction/abduction parts, dorsiflexion/plantar flexion parts, inversion/eversion parts and sensing unit. Each part of ankle rehabilitation robot was introduced in detail. Finally, the core control strategy, position control and force control were proposed. With the robot, several primary experiments are performed. The feasibility of the robot was verified.
随着机器人技术的发展,越来越多的康复机器人被用于辅助康复领域的传统训练。本文提出了一种新型的3自由度、全填充被动-主动训练、主观意识和客观训练要求相结合的踝关节机器人。结合踝关节物理结构和实际康复情况,分析了踝关节机器人的需求。在传统康复治疗的基础上,提出了一种主观意识与客观训练相结合的机器人辅助康复治疗方法。在该机器人中,提出了一种新颖的绕踝关节中心运动的横圆机构结构。机械结构包括四个部分,内收/外展部分,背屈/足底屈部分,内翻/外翻部分和传感单元。详细介绍了踝关节康复机器人的各个组成部分。最后,提出了核心控制策略——位置控制和力控制。利用机器人进行了几项初步实验。验证了该机器人的可行性。
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引用次数: 3
Design of missile autopilot based on fuzzy control 基于模糊控制的导弹自动驾驶仪设计
Pub Date : 2016-08-01 DOI: 10.1109/ICINFA.2016.7832027
Shanzhong Liu, Xiumin Qu, Yongbin Liu
The aerodynamic parameters of missile control system will be changed with the variations of the missile flight speed and altitude, etc. In order to reduce the influence of the changing aerodynamic parameters on control performance of missile autopilot, use variable universe fuzzy control to deal with this problem and improve the dynamic and steady-state performance of the missile autopilot. Considering the random disturbance, white noise, wind disturbance, electromagnetic disturbance during the flight, simulation results show that when the variable universe fuzzy PID control and fuzzy PID control missile autopilot are compared, they can both achieve effectively to track the missile guidance command, the former design system has smaller overshoot, shorter response time, higher control precision, more strong anti-disturbance ability, so it is more suitable to design the missile autopilot.
导弹控制系统的气动参数会随着导弹飞行速度、飞行高度等的变化而发生变化。为了减小气动参数变化对导弹自动驾驶仪控制性能的影响,采用变全域模糊控制来处理这一问题,提高导弹自动驾驶仪的动、稳态性能。考虑飞行过程中的随机干扰、白噪声、风干扰、电磁干扰,仿真结果表明,变宇宙模糊PID控制与模糊PID控制导弹自动驾驶仪相比,都能有效地实现对导弹制导指令的跟踪,前者设计的系统超调量小,响应时间短,控制精度高,抗干扰能力强。因此设计导弹自动驾驶仪更为合适。
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引用次数: 1
Exponential stability and L2 control for delayed switched systems with mode-dependent average dwell time 具有模式依赖平均停留时间的延迟切换系统的指数稳定性和L2控制
Pub Date : 2016-08-01 DOI: 10.1109/ICINFA.2016.7831802
Qian Yang, Huaicheng Yan, Hao Zhang, Mengling Wang
This paper investigates the problem of robustly globally uniformly exponential stability and L2 control for a class of switched systems with time-varying delay by using mode-dependent average dwell time (MDADT) approach. The MDADT approach is more applicable in practice than the average dwell time method in which each mode in the underlying system has its own average dwell time. Firstly, some sufficient conditions for robustly exponential stability is given by using the MDADT approach and piecewise Lyapunov function. Secondly, the L2-gain of the switched system with the external disturbance is analyzed. Then, the state feedback controller gain is obtained to ensure the exponential stability of the switched system. Finally, a numerical example is provided to illustrate the effectiveness of the theoretical results.
本文利用模相关平均停留时间(MDADT)方法研究了一类时变时滞切换系统的鲁棒全局一致指数稳定性和L2控制问题。MDADT方法在实践中比平均停留时间方法更适用,在平均停留时间方法中,底层系统中的每个模式都有自己的平均停留时间。首先,利用MDADT方法和分段Lyapunov函数给出了系统鲁棒指数稳定的充分条件。其次,分析了外部干扰下开关系统的l2增益。然后,得到状态反馈控制器增益,以保证切换系统的指数稳定性。最后,通过数值算例验证了理论结果的有效性。
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引用次数: 0
Human contour extraction from RGBD camera for action recognition 基于RGBD相机的人体轮廓提取及其动作识别
Pub Date : 2016-08-01 DOI: 10.1109/ICINFA.2016.7832114
Xiaohui Huang, Jun Cheng, Xiaopeng Ji
Spatio-temporal cuboid pyramid (STCP) for action recognition using depth motion sequences [1] is influenced by depth camera error which leads the depth motion sequence (DMS) existing many kinds of noise, especially on the surface. It means that the dimension of DMS is awfully high and the feature for action recognition becomes less apparent. In this paper, we present an effective method to reduce noise, which is to segment foreground. We firstly segment and extract human contour in the color image using convolutional network model. Then, human contour is re-segmented utilizing depth information. Thirdly we project each frame of the segmented depth sequence onto three views. We finally extract features from cuboids and recognize human actions. The proposed approach is evaluated on three public benchmark datasets, i.e., UTKinect-Action Dataset, MSRActionPairs Dataset and 3D Online Action Dataset. Experimental results show that our method achieves state-of-the-art performance.
基于深度运动序列的时空长方体金字塔(STCP)动作识别[1]受到深度相机误差的影响,导致深度运动序列(DMS)存在多种噪声,尤其是表面噪声。这意味着DMS的维度非常高,动作识别的特征变得不那么明显。本文提出了一种有效的降噪方法,即前景分割。首先利用卷积网络模型对彩色图像中的人体轮廓进行分割和提取。然后,利用深度信息对人体轮廓进行重新分割。第三,我们将分割深度序列的每一帧投影到三个视图上。最后,我们从长方体中提取特征并识别人类的行为。该方法在三个公共基准数据集上进行了评估,即UTKinect-Action数据集、MSRActionPairs数据集和3D Online Action数据集。实验结果表明,该方法达到了最先进的性能。
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引用次数: 5
The design of a dual-structured measurement matrix in compressed sensing 压缩感知中双结构测量矩阵的设计
Pub Date : 2016-08-01 DOI: 10.1109/ICINFA.2016.7831819
Jianhua Qiao, Xueying Zhang
The design of measurement matrices is one of the key contents of the compressed sensing (CS) theory. This paper constructs a new dual-structured measurement matrix-unit array + random matrix, by combining the advantages of the random measurement matrices with high recovery probability and the structured measurement matrices of low storage. The experiments show that the reconstruction errors can be gotten lower through using the measurement matrix designed than those of the simple application of the random measurement matrix. Then a method of sub-frame overlapping is proposed for reconstructing the entire signal, which can remove large errors caused by unit array in the measurement matrix, and ensure the stability of the whole signal reconstruction. Simulation results demonstrate that the signal to noise ratio (SNR) is increased significantly and the reconstruction performance of signal is improved remarkably.
测量矩阵的设计是压缩感知理论的关键内容之一。本文结合随机测量矩阵高恢复概率和结构化测量矩阵低存储的优点,构建了一种新的双结构测量矩阵-单元阵列+随机矩阵。实验表明,与简单应用随机测量矩阵相比,采用所设计的测量矩阵可以得到较低的重构误差。在此基础上,提出了一种子帧重叠重构整个信号的方法,该方法可以消除测量矩阵中单元阵列带来的较大误差,保证整个信号重构的稳定性。仿真结果表明,该方法显著提高了信噪比,显著改善了信号的重构性能。
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引用次数: 2
H∞ control of networked control systems with stochastic measurement losses 具有随机测量损失的网络控制系统的H∞控制
Pub Date : 2016-08-01 DOI: 10.1109/ICINFA.2016.7832090
Shichao Liu, P. X. Liu, Xiaoyu Wang
In this paper, the modeling and H∞, control problems for the Networked Control System (NCS) with random data-packet losses in sensor-controller channel and disturbances are investigated. In specific, the networked system with sensor measurement losses is modeled as a Markovian jump linear system(MJLS) by using a multi-rate sampling approach, while the characteristics of network-induced packet losses are assumed to follow multiple-state Markov chain process. The sufficient conditions for the robustly stochastic stability of the NCS are obtained via the piecewise Lyapunov function method. Instead of designing a general robust controller, we take the dynamic network conditions into consideration when designing a statefeedback controller for the NCS. The stochastic packet-loss-dependant controller for the closed-loop networked system is presented in the formulation of linear matrix inequalities(LMIs), under the given H∞ disturbance-rejection-attenuation level. Simulation results of a simple networked robotic arm show that the developed packet-loss-dependant controller can stabilize the networked system with both random sensor-measurement losses and disturbances robustly.
本文研究了具有传感器-控制器信道随机数据包丢失和干扰的网络控制系统的建模和H∞控制问题。具体而言,采用多速率采样方法将具有传感器测量损失的网络系统建模为马尔可夫跳变线性系统(MJLS),同时假定网络引起的丢包特征遵循多状态马尔可夫链过程。通过分段Lyapunov函数方法,得到了系统鲁棒随机稳定的充分条件。在设计网络控制系统的状态反馈控制器时,我们没有设计一般的鲁棒控制器,而是考虑了网络的动态条件。在给定的H∞干扰抑制衰减水平下,用线性矩阵不等式(lmi)的形式给出了闭环网络系统的随机丢包相关控制器。一个简单的网络化机械臂的仿真结果表明,所设计的丢包相关控制器可以鲁棒地稳定存在随机传感器测量损失和干扰的网络化系统。
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引用次数: 6
期刊
2016 IEEE International Conference on Information and Automation (ICIA)
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