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Object Recognition Algorithm Based on an Improved Convolutional Neural Network 基于改进卷积神经网络的目标识别算法
Q4 Engineering Pub Date : 2020-01-01 DOI: 10.15918/J.JBIT1004-0579.19116
Zheyi Fan, Yu Song, Wei Li
In order to accomplish the task of object recognition in natural scenes, a new object recognition algorithm based on an improved convolutional neural network (CNN) is proposed. First, candidate object windows are extracted from the original image. Then, candidate object windows are input into the improved CNN model to obtain deep features. Finally, the deep features are input into the Softmax and the confidence scores of classes are obtained. The candidate object window with the highest confidence score is selected as the object recognition result. Based on AlexNet, Inception V1 is introduced into the improved CNN and the fully connected layer is replaced by the average pooling layer, which widens the network and deepens the network at the same time. Experimental results show that the improved object recognition algorithm can obtain better recognition results in multiple natural scene images, and has a higher degree of accuracy than the classical algorithms in the field of object recognition.
为了完成自然场景中的目标识别任务,提出了一种基于改进卷积神经网络(CNN)的目标识别算法。首先,从原始图像中提取候选目标窗口;然后,将候选对象窗口输入到改进的CNN模型中,获得深度特征。最后,将深度特征输入Softmax,得到类的置信度分数。选取置信度得分最高的候选目标窗口作为目标识别结果。基于AlexNet,在改进的CNN中引入盗梦空间V1,用平均池化层代替全连接层,同时拓宽网络,加深网络。实验结果表明,改进的目标识别算法在多幅自然场景图像中可以获得更好的识别效果,在目标识别领域具有比经典算法更高的准确率。
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引用次数: 2
Anisotropic Total Variation Regularization Based NAS-RIF Blind Restoration Method for OCT Image 基于各向异性全变分正则化的OCT图像NAS-RIF盲恢复方法
Q4 Engineering Pub Date : 2020-01-01 DOI: 10.15918/J.JBIT1004-0579.20014
Xuesong Fu, Jianlin Wang, Zhixiong Hu, Yongqi Guo, Kepeng Qiu, Rutong Wang
Based on anisotropic total variation regularization (ATVR), a nonnegativity and support constraints recursive inverse filtering(NAS-RIF) blind restoration method is proposed to enhance the quality of optical coherence tomography (OCT) image. First, ATVR is introduced into the cost function of NAS-RIF to improve the noise robustness and retain the details in the image. Since the split Bregman iterative is used to optimize the ATVR based cost function, the ATVR based NAS-RIF blind restoration method is then constructed. Furthermore, combined with the geometric nonlinear diffusion filter and the Poisson-distribution-based minimum error thresholding, the ATVR based NAS-RIF blind restoration method is used to realize the blind OCT image restoration. The experimental results demonstrate that the ATVR based NAS-RIF blind restoration method can successfully retain the details in the OCT images. In addition, the signal-to-noise ratio of the blind restored OCT images can be improved, along with the noise robustness.
为了提高光学相干层析成像(OCT)图像的质量,提出了一种基于各向异性全变差正则化(ATVR)的非负性支持约束递推反滤波(NAS-RIF)盲恢复方法。首先,将ATVR引入到NAS-RIF的代价函数中,提高噪声鲁棒性并保留图像中的细节;由于采用分裂Bregman迭代对基于ATVR的代价函数进行优化,因此构造了基于ATVR的NAS-RIF盲恢复方法。结合几何非线性扩散滤波和基于泊松分布的最小误差阈值分割,采用基于ATVR的NAS-RIF盲恢复方法实现了OCT图像的盲恢复。实验结果表明,基于ATVR的NAS-RIF盲恢复方法能够很好地保留OCT图像中的细节。此外,盲恢复OCT图像的信噪比可以得到提高,噪声的鲁棒性也得到提高。
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引用次数: 1
Co-simulation of a quadruped robot's mechanical and hydraulic systems based on ADAMS and AMESim 基于ADAMS和AMESim的四足机器人机械与液压系统联合仿真
Q4 Engineering Pub Date : 2016-01-01 DOI: 10.15918/J.JBIT1004-0579.201625.0209
Han Bao-ling, SI Shi-cai, Luo Qing-sheng, Xiao Da-hua, Niu Kai
In order to observe the change and fluctuation in flow and pressure of a hydraulic quadruped robot's hydraulic system when the robot walks on trot gait, a co-simulation method based on ADAMS and AMESim is proposed. Firstly, the change rule in each swing angle of the hydraulic quadruped robot's four legs is analyzed and converted to the displacement change of the hydraulic cylinder by calculating their geometric relationship. Secondly, the robot's dynamic model is built in ADAMS and its hydraulic and control system models are built in AMESim. The displacement change of the hydraulic cylinder in the hydraulic system is used as the driving function of the dynamics model in ADAMS, and the driving force of the dynamics model is used as the loads of the hydraulic system in AMESim. By introducing the PID closed-loop control in the control system, the co-simulation between hydraulic system and mechanical system is implemented. Finally, the curve of hydraulic cylinders' loads, flow and pressure are analyzed and the results show that they fluctuate highly in accordance with the real situation. The study provides data support for the development of a hydraulic quadruped robot's physical prototype.
为了观察液压四足机器人以小跑步态行走时液压系统流量和压力的变化和波动,提出了一种基于ADAMS和AMESim的联合仿真方法。首先,分析了液压四足机器人四条腿各摆角的变化规律,并通过计算其几何关系将其转化为液压缸的位移变化;其次,在ADAMS中建立了机器人的动力学模型,在AMESim中建立了机器人的液压和控制系统模型。在ADAMS中将液压系统中液压缸的位移变化作为动力学模型的驱动函数,在AMESim中将动力学模型的驱动力作为液压系统的负载。通过在控制系统中引入PID闭环控制,实现了液压系统与机械系统的联合仿真。最后对液压缸的载荷、流量和压力曲线进行了分析,结果表明液压缸的载荷、流量和压力曲线波动较大,符合实际情况。该研究为液压四足机器人物理样机的研制提供了数据支持。
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引用次数: 0
Three-dimensional bistatic interferometric ISAR imaging 三维双基地干涉ISAR成像
Q4 Engineering Pub Date : 2015-01-01 DOI: 10.15918/J.JBIT1004-0579.201524.0115
Lizhi Zhao, M. Martorella, Xiongjun Fu, M. Gao
An approach based on interferometry technique is proposed for three-dimensional( 3D) bistatic inverse synthetic aperture radar( ISAR) imaging. It is converted to a monostatic problem by using the theory that a bistatic radar equals a monostatic radar located on the bisector of bistatic angle. Then,interferometric phases extracted from a pair of cross shaped antennas are used to estimate the height and associated rotational velocity.Finally,numerical simulations are provided to evaluate this method.
提出了一种基于干涉技术的三维双基地逆合成孔径雷达(ISAR)成像方法。利用双基地雷达等于位于双基地角平分线上的单基地雷达的理论,将其转化为单基地问题。然后,从一对十字形天线中提取干涉相位来估计高度和相关的旋转速度。最后,通过数值模拟对该方法进行了验证。
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引用次数: 1
Performances Analysis on the Technology of Laser Ranging to Space Debris and Improvement 空间碎片激光测距技术性能分析及改进
Q4 Engineering Pub Date : 2015-01-01 DOI: 10.15918/J.JBIT1004-0579.201524.S118
Zhang Haifeng, Meng Wendong, Wu Zhibo, Zhai Shu-ran, Cheng Zhi'en, Li Pu, Zhang Zhongping
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引用次数: 0
Research on Drag Torque Prediction Model for the Wet Clutches 湿式离合器拖动力矩预测模型研究
Q4 Engineering Pub Date : 2008-12-01 DOI: 10.3901/CJME.2009.02.238
Jibin Hu, Chongbo Jing, Zengxiong Peng, Bin Wang
Considering the surface tension effect and centrifugal effect, a mathematical model based on Reynolds equation for predicting the drag torque of disengage wet clutches is presented. The model indicates that the equivalent radius is a function of clutch speed and flow rate. The drag torque achieves its peak at a critical speed. Above this speed, drag torque drops due to the shrinking of the oil film. The model also points out that viscosity and flow rate effects on drag torque. Experimental results indicate that the model is reason-able and it performs well for predicting the drag torque peak.
考虑表面张力效应和离心效应,建立了基于雷诺方程的湿式离合器拖拽力矩预测数学模型。该模型表明,等效半径是离合器转速和流量的函数。阻力扭矩在临界速度下达到峰值。在此速度以上,由于油膜的收缩,拖动扭矩下降。该模型还指出了粘度和流量对阻力转矩的影响。实验结果表明,该模型是合理的,能较好地预测阻力力矩峰值。
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引用次数: 24
On the Essence of Law 论法律的本质
Q4 Engineering Pub Date : 2006-01-01 DOI: 10.5040/9781472564078.ch-004
Li Yan-qiu
According to theory that the functions of law are dominated by its essence,the paper concludes the essence of law to the ruling class's will and points out the will resources and political function of law.Reason is the historic factor.We are impelled by diversification of nation function to think about the frame of society and law accord with the rule of social development.Harmonious society is the function foundation norm of the law of our country.
根据法律的本质支配其功能的理论,将法律的本质归结为统治阶级的意志,并指出了法律的意志资源和政治功能。理性是历史因素。国家职能的多样化促使我们思考符合社会发展规律的社会和法律框架。和谐社会是我国法律的功能基础规范。
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引用次数: 9
Failure Analysis of Plastic Thin Spherical Shells under Local Impact 塑料薄球壳局部冲击失效分析
Q4 Engineering Pub Date : 2002-12-12 DOI: 10.4028/WWW.SCIENTIFIC.NET/KEM.233-236.229
J. Ning, Wei Song, H. Liu
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引用次数: 2
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