Vol. 29 No. 9(2)
Special Issue on the 10th International Conference on Sensing Technology (ICST 2016)
Guest Editor: Ruqiang Yan (Southeast University)
The prediction of deck motion is an effective and potential means of improving the landing/ take-off safety of carrier-based aircraft using current and historical deck-motion measurements when de ... Read More
The problem of stress corrosion cracking (SCC), which causes sudden failure of metals subjected to stress in a high-temperature, high-pressure water environment, is studied. Acoustic emission (AE ... Read More
A self-coupling laser distance sensor detects a distance signal via slight fluctuations in the semiconductor laser terminal voltage due to interference between the laser light and the returned li ... Read More
A data-driven method is used to measure the thickness/subsurface-crack-depth of metal specimens. The measuring system is driven by a pulsed eddy current (PEC), and for every detection process a h ... Read More
The human wrist pulse signal, which often exhibits nonstationarity, can reflect changes in mechanisms and pathophysiology in the blood and viscera. In this paper, we present an integrated approac ... Read More
This paper describes an online human physical activity (PA) recognition system based on machine learning, using rechargeable wireless wearable sensors with body-energy harvesting. The entire syst ... Read More
It is a difficult task to teleoperate a robot in a partially known or unstructured environment without any assistance. In this paper, a haptic assisted teleoperation system is discussed that prov ... Read More
S&M1423Research Paper of Special Issue |
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S&M1423 A Prediction Method for Deck Motion of Aircraft Carrier Based on Particle Swarm Optimization and Kernel Extreme Learning Machine Xixiang Liu, Qiming Wang, Yongjiang Huang, Qing Song, and Liye Zhao pp. 1291-1303 https://doi.org/10.18494/SAM.2017.1588 Published on September 27, 2017 PDF (open access) |
S&M1424Research Paper of Special Issue |
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S&M1424 Characteristic of Acoustic Emission Signal from Stress Corrosion Cracking in Low-Carbon Nitrogen-Enhanced Stainless Steel Xuefeng Li, Yujiao Shao, Yuan Yu, Yin Zhang, and Runjie Shen pp. 1305-1313 https://doi.org/10.18494/SAM.2017.1604 Published on September 27, 2017 PDF (open access) |
S&M1425Research Paper of Special Issue |
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S&M1425 Signal Processing for Distance Measurement Using Laser Voltage Fluctuation Due to Self-Coupling Effect Takeshi Yoshimatsu, Norio Tsuda, and Jun Yamada pp. 1315-1324 https://doi.org/10.18494/SAM.2017.1609 Published on September 27, 2017 PDF (open access) |
S&M1426Research Paper of Special Issue |
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S&M1426 Data-Driven Method for the Measurement of Thickness/Depth Using Pulsed Eddy Current Lulu Tian, Yuhua Cheng, Chun Yin, Xuegang Huang, Bo Zhang, and Libing Bai pp. 1325-1338 https://doi.org/10.18494/SAM.2017.1610 Published on September 27, 2017 PDF (open access) |
S&M1427Research Paper of Special Issue |
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S&M1427 Analyzing Wrist Pulse Signals Measured with Polyvinylidene Fluoride Film for Hypertension Identification Ruqiang Yan, Mengjie Zhou, Wenjun Sun, and Jingjing Meng pp. 1339-1351 https://doi.org/10.18494/SAM.2017.1606 Published on September 27, 2017 PDF (open access) |
S&M1428Research Paper of Special Issue |
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S&M1428 Online Human Daily Activity Recognition with Rechargeable Wearable Sensors Lingfei Mo, Xu Lu, Zengtao Feng, and Wenqi Hua pp. 1353-1365 https://doi.org/10.18494/SAM.2017.1612 Published on September 27, 2017 PDF (open access) |
S&M1429Research Paper of Special Issue |
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S&M1429 Haptic Assisted Teleoperation Based on Virtual Fixture and Dynamic Modelling Dejing Ni, Aiguo Song, and Huijin Li pp. 1367-1381 https://doi.org/10.18494/SAM.2017.1605 Published on September 27, 2017 PDF (open access) |
Cover of this Issue |
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