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Institution

Yanshan University

EducationQinhuangdao, China
About: Yanshan University is a education organization based out in Qinhuangdao, China. It is known for research contribution in the topics: Microstructure & Control theory. The organization has 19544 authors who have published 16904 publications receiving 184378 citations. The organization is also known as: Yānshān dàxué.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors proposed a weak signal detection method based on time-delayed feedback monostable stochastic resonance (TFMSR) system and adaptive minimum entropy deconvolution (MED) to realize the fault diagnosis of rolling bearings.

109 citations

Journal ArticleDOI
TL;DR: The asynchronous algorithm in this paper can effectively eliminate the impact of the clock asynchronization and node mobility and reduce the localization time by comparing with the exhaustive search-based localization method.
Abstract: Most applications of underwater acoustic sensor networks (UASNs) rely upon reliable location information of sensor nodes. However, the harsh underwater environment makes localization more challenging as compared to terrestrial sensor networks. This paper is concerned with a localization issue for UASNs, subject to clock asynchronization and node mobility. A hybrid architecture including autonomous underwater vehicles (AUVs), active and passive sensor nodes is designed, where AUVs act as anchor nodes to provide localization information for sensor nodes. In order to eliminate the effect of asynchronous clocks and compensate the mobility of sensor nodes, an asynchronous localization algorithm with mobility prediction is provided for active and passive sensor nodes. Then, two localization optimization problems are formulated as minimizing the sum of all measurement errors. To solve the localization optimization problems, iterative least squares estimators are designed. In addition, the convergence analysis and Crame r–Rao lower bound for the localization errors are also provided. Finally, simulation results show that the proposed localization approach can reduce the localization time by comparing with the exhaustive search-based localization method. Meanwhile, the asynchronous algorithm in this paper can effectively eliminate the impact of the clock asynchronization and node mobility.

109 citations

Journal ArticleDOI
TL;DR: In this article, the results of the experiments of air stripping combined with struvite precipitation using low-cost MgO showed that it is possible to recover approximately 100% of P T and 50% of the TAN from the supernatant.

109 citations

Journal ArticleDOI
Xiaoli Li1, Duan Li1, Zhenhu Liang1, Logan J. Voss2, Jamie Sleigh2 
TL;DR: The results from this small dataset suggest that the Hilbert-Huang spectral entropy has a slightly stronger ability to track changes in sevoflurane effect-site concentration than M-Entropy with a stronger noise-resistance.

109 citations

Journal ArticleDOI
TL;DR: In this paper, the authors show that the mechanism of conductivity switching is the writing of surface charge on a wide range of LaAlO3 thicknesses, including bulk crystals.
Abstract: Biased conducting-tip atomic force microscopy (AFM) has been shown to write and erase nanoscale metallic lines at the LaAlO3/SrTiO3 interface. Using various AFM modes, we show the mechanism of conductivity switching is the writing of surface charge. These charges are stably deposited on a wide range of LaAlO3 thicknesses, including bulk crystals. A strong asymmetry with writing polarity was found for 1 and 2 unit cells of LaAlO3, providing experimental evidence for a theoretically predicted built-in potential.

108 citations


Authors

Showing all 19693 results

NameH-indexPapersCitations
Jian Yang1421818111166
Peng Shi137137165195
Tao Zhang123277283866
David Zhang111102755118
Lei Liu98204151163
Guoliang Li8479531122
Hao Yu8198127765
Jian Yu Huang8133926599
Chen Chen7666524846
Wei Jin7192921569
Xiaoli Li6987720690
K. L. Ngai6441215505
Zhiqiang Zhang6059516675
Hak-Keung Lam5941412890
Wei Wang5822914230
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202369
2022297
20211,753
20201,486
20191,433
20181,209