Attenuating the undesired audio noise generated by impulse noise,such as shot and scream of brakes,is specially useful for real-time audio recording of TV or broadcasting live report.On the basis of impulse noise dete...Attenuating the undesired audio noise generated by impulse noise,such as shot and scream of brakes,is specially useful for real-time audio recording of TV or broadcasting live report.On the basis of impulse noise detection algorithms based on template,this paper improves the method of establishing the template by using multiple microphones to pick up noise corrupted signals and impulse noises in the environment.The universal of thresholds is found and a detection algorithm with slope as the characteristic is proposed by comparing a variety of feature extraction algorithms.The proposed algorithm gets a significant improvement in testing speed and accuracy,which means it is suitable for real-time processing of audio signals.展开更多
Gait recognition has significant potential for remote human identification,hut it is easily influenced by identity-unrelated factors such as clothing,carrying conditions,and view angles.Many gait templates have been p...Gait recognition has significant potential for remote human identification,hut it is easily influenced by identity-unrelated factors such as clothing,carrying conditions,and view angles.Many gait templates have been presented that can effectively represent gait features.Each gait template has its advantages and can represent different prominent information.In this paper,gait template fusion is proposed to improve the classical representative gait template(such as a gait energy image)which represents incomplete information that is sensitive to changes in contour.We also present a partition method to reflect the different gait habits of different body parts of each pedestrian.The fused template is cropped into three parts(head,trunk,and leg regions)depending on the human body,and the three parts are then sent into the convolutional neural network to learn merged features.We present an extensive empirical evaluation of the CASIA-B dataset and compare the proposed method with existing ones.The results show good accuracy and robustness of the proposed method for gait recognition.展开更多
为了提高步态识别的识别效率,提出了一种基于多通道步态集合的步态识别算法。算法中将一个周期的步态轮廓图进行归一化处理后,通过步幅的大小将周期内的轮廓图划分为7个通道,每个通道内的轮廓图按照平均步态来处理,得到7通道的步态模板...为了提高步态识别的识别效率,提出了一种基于多通道步态集合的步态识别算法。算法中将一个周期的步态轮廓图进行归一化处理后,通过步幅的大小将周期内的轮廓图划分为7个通道,每个通道内的轮廓图按照平均步态来处理,得到7通道的步态模板。结合卷积神经网络的优异性能,将该多通道步态模板(period energy image,PEI)当成图像集作为网络的输入,让网络自身去提取步态模板之间的时序关系。在此基础上,使用增强约束的Triplet Loss函数来学习到最优的特征和距离度量,使最终的训练更加有效。通过在标准数据集CASIA-B上的实验结果表明,与之前多数算法相比,所提出的算法在跨视角的情况下能取得很好的识别效果。展开更多
目的探讨3D打印截骨模板辅助全膝关节置换术(TKA)治疗老年膝关节骨性关节炎(KOA)的效果。方法选取2020年3月—2021年5月就诊于江门市新会区人民医院KOA患者60例,采用区组随机分组法分为观察组(30例)、对照组(30例)。观察组实施3D打印截...目的探讨3D打印截骨模板辅助全膝关节置换术(TKA)治疗老年膝关节骨性关节炎(KOA)的效果。方法选取2020年3月—2021年5月就诊于江门市新会区人民医院KOA患者60例,采用区组随机分组法分为观察组(30例)、对照组(30例)。观察组实施3D打印截骨模板辅助TKA术,对照组实施TKA术。比较两组的手术时间(OT)、术中出血量(IBV)、术后24 h引流量(24 h PDV)及住院时间,手术前后膝关节功能[采用美国特种外科医院(HSS)评分]及膝关节活动度(屈曲、外旋、内旋),术后步长及步行速度,旋转对线偏移率,术后并发症。结果与对照组相比,观察组OT短,IBV、24 h PDV少(P均<0.05);观察组术后4、8周的HSS评分高、膝关节活动度大、步长长、步行速度快(P均<0.05)。观察组旋转对线偏移率为3.33%(1/30)、术后并发症发生率为3.33%(1/30),与对照组[20.00%(6/30)、6.67%(2/30)]比较差异无统计学意义(P均>0.05)。结论3D打印截骨模板辅助TKA术治疗KOA患者,可改善膝关节功能及步态状态,安全可靠。展开更多
基金Supported by the Research on Multi-channel Audio Noise Reduction Algorithm(No.3132014XNG1430)
文摘Attenuating the undesired audio noise generated by impulse noise,such as shot and scream of brakes,is specially useful for real-time audio recording of TV or broadcasting live report.On the basis of impulse noise detection algorithms based on template,this paper improves the method of establishing the template by using multiple microphones to pick up noise corrupted signals and impulse noises in the environment.The universal of thresholds is found and a detection algorithm with slope as the characteristic is proposed by comparing a variety of feature extraction algorithms.The proposed algorithm gets a significant improvement in testing speed and accuracy,which means it is suitable for real-time processing of audio signals.
基金Project supported by the National Natural Science Foundation of China(No.61573114)。
文摘Gait recognition has significant potential for remote human identification,hut it is easily influenced by identity-unrelated factors such as clothing,carrying conditions,and view angles.Many gait templates have been presented that can effectively represent gait features.Each gait template has its advantages and can represent different prominent information.In this paper,gait template fusion is proposed to improve the classical representative gait template(such as a gait energy image)which represents incomplete information that is sensitive to changes in contour.We also present a partition method to reflect the different gait habits of different body parts of each pedestrian.The fused template is cropped into three parts(head,trunk,and leg regions)depending on the human body,and the three parts are then sent into the convolutional neural network to learn merged features.We present an extensive empirical evaluation of the CASIA-B dataset and compare the proposed method with existing ones.The results show good accuracy and robustness of the proposed method for gait recognition.
文摘为了提高步态识别的识别效率,提出了一种基于多通道步态集合的步态识别算法。算法中将一个周期的步态轮廓图进行归一化处理后,通过步幅的大小将周期内的轮廓图划分为7个通道,每个通道内的轮廓图按照平均步态来处理,得到7通道的步态模板。结合卷积神经网络的优异性能,将该多通道步态模板(period energy image,PEI)当成图像集作为网络的输入,让网络自身去提取步态模板之间的时序关系。在此基础上,使用增强约束的Triplet Loss函数来学习到最优的特征和距离度量,使最终的训练更加有效。通过在标准数据集CASIA-B上的实验结果表明,与之前多数算法相比,所提出的算法在跨视角的情况下能取得很好的识别效果。
文摘目的探讨3D打印截骨模板辅助全膝关节置换术(TKA)治疗老年膝关节骨性关节炎(KOA)的效果。方法选取2020年3月—2021年5月就诊于江门市新会区人民医院KOA患者60例,采用区组随机分组法分为观察组(30例)、对照组(30例)。观察组实施3D打印截骨模板辅助TKA术,对照组实施TKA术。比较两组的手术时间(OT)、术中出血量(IBV)、术后24 h引流量(24 h PDV)及住院时间,手术前后膝关节功能[采用美国特种外科医院(HSS)评分]及膝关节活动度(屈曲、外旋、内旋),术后步长及步行速度,旋转对线偏移率,术后并发症。结果与对照组相比,观察组OT短,IBV、24 h PDV少(P均<0.05);观察组术后4、8周的HSS评分高、膝关节活动度大、步长长、步行速度快(P均<0.05)。观察组旋转对线偏移率为3.33%(1/30)、术后并发症发生率为3.33%(1/30),与对照组[20.00%(6/30)、6.67%(2/30)]比较差异无统计学意义(P均>0.05)。结论3D打印截骨模板辅助TKA术治疗KOA患者,可改善膝关节功能及步态状态,安全可靠。
