Searched for: author%3A%22Jin%2C+J.%22
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Jin, J. (author)
Laser Doppler vibrometer (LDV) is a vibration-detecting instrument for noncontact and non-destructive measurement. It is superior to classic contact transducers in terms of the wide frequency range and high measurement resolution. LDV on moving platforms (LDVom) is one of the LDV measurement technology to one-way scan the vibrating surface, so...
doctoral thesis 2023
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Pang, Mijie (author), Jin, J. (author), Segers, Arjo (author), Jiang, Huiya (author), Fang, Li (author), Lin, H.X. (author), Liao, Hong (author)
Super dust storms re-occurred over East Asia in 2021 spring and casted great health damages and property losses. It is essential to achieve an accurate dust forecast to reduce the damage for early warning. The forecasting system fundamentally relies on a numerical model which can forecast the full evolution of dust storms. However, large...
journal article 2023
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Jin, J. (author), Li, Z. (author)
Empirical mode decomposition (EMD) lacks a strong theoretical support although extensively applied. We propose a theoretical framework for a succinct EMD in this work, with the assumption of invariant extrema locations for one IMF extraction. We define the envelope mean filter (EMF) and prove that the filter matrix satisfies five properties....
journal article 2023
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Jin, J. (author), Fang, Li (author), Li, Baojie (author), Liao, Hong (author), Wang, Ye (author), Han, Wei (author), Li, Ke (author), Pang, Mijie (author), Wu, Xingyi (author), Lin, H.X. (author)
Atmospheric ammonia has been hazardous to the environment and human health for decades. Current inventories are usually constructed in a bottom-up manner and subject to uncertainties and incapable of reproducing the spatiotemporal characteristics of ammonia emission. Satellite measurements, for example, Infrared Atmospheric Sounder...
journal article 2023
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Jin, J. (author), Dollevoet, R.P.B.J. (author), Li, Z. (author)
Laser Doppler Vibrometer (LDV) is extensively applied in remote and precise vibration measurements for structural monitoring. Speckle noise is a severe signal issue restricting LDV applications, mainly when an LDV scans from moving platforms. Realistic simulations and thorough characterizations of speckle noise can support the despeckle...
journal article 2022
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Jin, J. (author), Li, Z. (author)
We propose two strategies for eliminating the speckle noise in a laser Doppler vibrometer according to Fourier analysis. Fourier transform is theoretically conducted on the speckle pattern phases, whose variation dominantly contributes to the speckle noise. The calculated and experimental frequency spectra of speckle noise both present...
journal article 2022
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Jin, J. (author), Pang, Mijie (author), Segers, Arjo (author), Han, Wei (author), Fang, Li (author), Li, Baojie (author), Feng, H. (author), Lin, H.X. (author), Liao, Hong (author)
Last spring, super dust storms reappeared in East Asia after being absent for one and a half decades. The event caused enormous losses in both Mongolia and China. Accurate simulation of such super sandstorms is valuable for the quantification of health damage, aviation risks, and profound impacts on the Earth system, but also to reveal the...
journal article 2022
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Jin, J. (author), Dollevoet, R.P.B.J. (author), Li, Z. (author)
With increasing requirements for structural stability and durability, effective monitoring strategies for existing and potential damage are necessary. A laser Doppler vibrometer on moving platforms (LDVom) can remotely capture large-scale structural vibrations, but speckle noise, a significant signal issue mainly when one-way continuously...
journal article 2022
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Jin, J. (author), Li, Z. (author)
As the durability and stability of structures in operation are required, effective technologies are necessary to monitor the structural health. Laser Doppler vibrometer (LDV) is a non-contact and non-destructive vibration detector suitable for acquire broadband signals remotely and continuously. The significant signal issue is speckle noise...
journal article 2021
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Jin, J. (author)
Accurate and automatic railhead inspection is crucial for the operational safety of railway systems. Deep learning on visual images is effective in the automatic detection of railhead defects, but either intensive data requirements or ignoring defect sizes reduce its applicability. This paper developed a machine learning framework based on...
journal article 2021
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Jin, J. (author), Duan, Yunling (author)
The quality of the surrounding rock is crucial to the stability of underground caverns, thereby requiring an effective monitoring technology. Ground-penetrating radar (GPR) can reconstruct the subterranean profile by electromagnetic waves, but two significant issues, called clutter and hyperbola tails, affect the signal quality. We propose an...
journal article 2021
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Jin, J. (author), Segers, Arjo (author), Lin, H.X. (author), Henzing, Bas (author), Wang, X. (author), Heemink, A.W. (author), Liao, Hong (author)
When calibrating simulations of dust clouds, both the intensity and the position are important. Intensity errors arise mainly from uncertain emission and sedimentation strengths, while position errors are attributed either to imperfect emission timing or to uncertainties in the transport. Though many studies have been conducted on the...
journal article 2021
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Jin, J. (author), Li, Z. (author)
This paper presents a novel approach for eliminating speckle noises in Laser Doppler Vibrometer signals based on empirical wavelet transform (EWT). The moving root-mean-square thresholds are utilized to cut off signal drop-outs and produce noise discontinuity that EWT can identify. The extremum ratio behaves as the criterion to reject or accept...
conference paper 2021
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Jin, J. (author), Duan, Yunling (author)
Automatic and efficient ground penetrating radar (GPR) data analysis remains a bottleneck, especially restricting applications in real-time monitoring systems. Deep learning approaches have good practice in automatic object identification, but their intensive data requirement has reduced their applicability. This paper developed a machine...
journal article 2020
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Jin, J. (author), Segers, Arjo (author), Liao, Hong (author), Heemink, A.W. (author), Kranenburg, Richard (author), Lin, H.X. (author)
Emission inversion using data assimilation fundamentally relies on having the correct assumptions about the emission background error covariance. A perfect covariance accounts for the uncertainty based on prior knowledge and is able to explain differences between model simulations and observations. In practice, emission uncertainties are...
journal article 2020
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Jin, J. (author), Duan, Yunling (author)
Surrounding rock quality of underground caverns is crucial to structural safety and stability in geological engineering. Classic measures for rock quality investigation are destructive and time consuming, and therefore technology evolution for efficiently evaluating rock quality is significantly required. In this paper, the non-destructive...
journal article 2020
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Jin, J. (author)
Severe dust storms present great threats to the environment, property and human health over the areas in the downwind of arid regions. Several dynamical dust models have been developed to predict the dust concentrations in the atmosphere. Currently, the accuracy of these models is limited mainly due to the imperfect modeling of dust emissions....
doctoral thesis 2019
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Jin, J. (author), Segers, Arjo (author), Heemink, A.W. (author), Yoshida, Mayumi (author), Han, Wei (author), Lin, H.X. (author)
Aerosol optical depths (AODs) from the new Himawari-8 satellite instrument have been assimilated in a dust simulation model over East Asia. This advanced geostationary instrument is capable of monitoring the East Asian dust storms which usually have great spatial and temporal variability. The quality of the data has been verified through a...
journal article 2019
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Jin, J. (author), Lin, H.X. (author), Segers, Arjo (author), Xie, Yu (author), Heemink, A.W. (author)
Data assimilation algorithms rely on a basic assumption of an unbiased observation error. However, the presence of inconsistent measurements with nontrivial biases or inseparable baselines is unavoidable in practice. Assimilation analysis might diverge from reality since the data assimilation itself cannot distinguish whether the differences...
journal article 2019
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Siemion, A.P.V. (author), Benford, J. (author), Cheng-Jin, J. (author), Chennamangalam, J. (author), Cordes, J. (author), Falcke, H. (author), Garrington, S. (author), Garrett, M. (author), Gurvits, L.I. (author), Hoare, M. (author), Korpela, E. (author), Lazio, J. (author), Messerschmitt, D. (author), Morrison, I. (author), O'Brien, T. (author), Paragi, Z. (author), Penny, A. (author), Spitler, L. (author), Tarter, J. (author), Werthimer, D. (author)
conference paper 2014
Searched for: author%3A%22Jin%2C+J.%22
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