In order to more accurately detect the accuracy of word-wheel water meter digits, 2000 water meter pictures were produced, and an improved Faster-RCNN algorithm for detecting water meter digits was proposed. The impro...In order to more accurately detect the accuracy of word-wheel water meter digits, 2000 water meter pictures were produced, and an improved Faster-RCNN algorithm for detecting water meter digits was proposed. The improved Faster-RCNN algorithm uses ResNet50 combined with FPN (Feature Pyramid Network) structure instead of the original ResNet50 as the feature extraction network, which can enhance the accuracy of the model for small-sized digit recognition;the use of ROI Align instead of ROI Pooling can eliminate the error caused by the quantization process of the ROI Pooling twice, so that the candidate region is more accurately mapped to the feature map, and the accuracy of the model is further enhanced. The experiment proves that the improved Faster-RCNN algorithm can reach 91.8% recognition accuracy on the test set of homemade dataset, which meets the accuracy requirements of automatic meter reading technology for water meter digital recognition, which is of great significance for solving the problem of automatic meter reading of mechanical water meters and promoting the intelligent development of water meters.展开更多
为了研究中国射击队女子50米口径步枪项目运动员功能动作筛查(FMS)得分和专项成绩之间的相关性,制订专项体能训练计划,选取备战东京奥运会初步队伍的队员与集训备战2019年莆田世界杯总决赛的队员,共计7名女子50米口径步枪运动员作为调...为了研究中国射击队女子50米口径步枪项目运动员功能动作筛查(FMS)得分和专项成绩之间的相关性,制订专项体能训练计划,选取备战东京奥运会初步队伍的队员与集训备战2019年莆田世界杯总决赛的队员,共计7名女子50米口径步枪运动员作为调查对象,采用SPSS 21.0分析7名运动员功能动作筛查(functional movement screen, FMS)得分和2019年11月份队内考核成绩间的Pearson系数。结果显示:女子50米口径步枪项目FMS测试中深蹲测试与好十环存在显著性正相关(P<0.05),肩关节灵活性测试与平均环数存在极显著负相关(P<0.01),仰卧主动直膝抬腿与好十环存在极显著正相关(P<0.01),旋转稳定性测试与好十环存在极显著正相关(P<0.01),其他指标均无显著性变化(P>0.05)。分析得出如下结论:(1)对于女子50米口径步枪项目的运动员应该提高髋关节的灵活性和肩关节的稳定性;(2)提高女子50米口径步枪项目运动员在水平面、矢状面和冠状面上站立姿的静态保持能力,有助于提高好十环出现的概率。展开更多
文摘In order to more accurately detect the accuracy of word-wheel water meter digits, 2000 water meter pictures were produced, and an improved Faster-RCNN algorithm for detecting water meter digits was proposed. The improved Faster-RCNN algorithm uses ResNet50 combined with FPN (Feature Pyramid Network) structure instead of the original ResNet50 as the feature extraction network, which can enhance the accuracy of the model for small-sized digit recognition;the use of ROI Align instead of ROI Pooling can eliminate the error caused by the quantization process of the ROI Pooling twice, so that the candidate region is more accurately mapped to the feature map, and the accuracy of the model is further enhanced. The experiment proves that the improved Faster-RCNN algorithm can reach 91.8% recognition accuracy on the test set of homemade dataset, which meets the accuracy requirements of automatic meter reading technology for water meter digital recognition, which is of great significance for solving the problem of automatic meter reading of mechanical water meters and promoting the intelligent development of water meters.
文摘为了研究中国射击队女子50米口径步枪项目运动员功能动作筛查(FMS)得分和专项成绩之间的相关性,制订专项体能训练计划,选取备战东京奥运会初步队伍的队员与集训备战2019年莆田世界杯总决赛的队员,共计7名女子50米口径步枪运动员作为调查对象,采用SPSS 21.0分析7名运动员功能动作筛查(functional movement screen, FMS)得分和2019年11月份队内考核成绩间的Pearson系数。结果显示:女子50米口径步枪项目FMS测试中深蹲测试与好十环存在显著性正相关(P<0.05),肩关节灵活性测试与平均环数存在极显著负相关(P<0.01),仰卧主动直膝抬腿与好十环存在极显著正相关(P<0.01),旋转稳定性测试与好十环存在极显著正相关(P<0.01),其他指标均无显著性变化(P>0.05)。分析得出如下结论:(1)对于女子50米口径步枪项目的运动员应该提高髋关节的灵活性和肩关节的稳定性;(2)提高女子50米口径步枪项目运动员在水平面、矢状面和冠状面上站立姿的静态保持能力,有助于提高好十环出现的概率。
