Vol. 34 No. 3(2)
Regular Issue
Errata
The evaluation of surface-hardened depth (D) in induction-hardened steel is important in the guarantee of quality of the steel. If the size of the surface-hardened steel is large, a nondestructiv ... Read More
Aiming at the rapid recognition of human motion modes required in the intelligent control algorithm of exoskeleton robots, in this paper, on the basis of the characteristics of inertial data and ... Read More
The water content of crude oil is an important parameter in oilfield development. It plays an important role in determining the water production of oil wells and the location of the oil layer, in ... Read More
To avoid the interference of the material’s surface factors in Brinell indentation images, which adversely affect measurement accuracy, an automatic measurement algorithm for Brinell indentatio ... Read More
The measurement accuracy and stability of a contactless voltage sensor are greatly affected by the relative locations of the cable and sensor. We propose a contactless voltage sensing method cons ... Read More
S&M2869Research Paper |
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S&M2869 Proposed Method for Simultaneous Inspection of Lift-off and Surface-hardened Depth in Induction-hardened Steel Plate Using Electromagnetic Properties Tsubasa Yoshinaga, Yuji Gotoh, Shun Onita, Takashi Horino, and Yoshitaka Misaka pp. 1007-1016 https://doi.org/10.18494/SAM3703 Published on March 10, 2022 PDF (open access) |
S&M2870Research Paper |
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S&M2870 Human Motion Mode Recognition Based on Multi-parameter Fusion of Wearable Inertial Module Unit and Flexible Pressure Sensor Tao Zhen, Hao Zheng, and Lei Yan pp. 1017-1031 https://doi.org/10.18494/SAM3755 Published on March 10, 2022 PDF (open access) |
S&M2871Research Paper |
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S&M2871 Measurement of Water Content of Crude Oil Using Quartz Crystal Microbalance Yan Wang, Chong Li, and Baorui Zhao pp. 1033-1042 https://doi.org/10.18494/SAM3777 Published on March 10, 2022 PDF (open access) |
S&M2872Research Paper |
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S&M2872 Automatic Measurement Algorithm for Brinell Indentations Based on Convolutional Neural Network Yangzhuo Chen, Qixuan Fang, Huinan Tian, Shaowei Li, Zehua Song, and Jiankang Li pp. 1043-1056 https://doi.org/10.18494/SAM3780 Published on March 10, 2022 PDF (open access) |
S&M2873Research Paper |
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S&M2873 Contactless Voltage Measurement Considering Spatially Dependent Voltage Compensation Yuxiang Leng, Liang Shu, Qi Qian, Chong Chen, and Yigang Lin pp. 1057-1074 https://doi.org/10.18494/SAM3848 Published on March 10, 2022 PDF (open access) |
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