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28 results on '"Ming, Hai"'

4. AIoT enabled resampling filter for temperature extraction of the Brillouin gain spectrum

Author

Ming Hai, Wang, Yang, Sui, Wei Nan, Zhou, Xin, An, and Wei, Dong

Subjects
Atomic and Molecular Physics, and Optics
Abstract

The Artificial Intelligence of Things (AIoT) turns passive fiber sensors into learning machines. It can be used to integrate intelligent nodes into a multi-dimensional sensing system. In this study, the temperature measurement system based on Brillouin Gain Spectrum (BGS) test setup is creatively implemented with the AIoT architecture; the training and testing stages of the neural network are divided into different layers of equipment to improve performance and reduce the network traffic. To enable the lightweight and low-power consumption edge computing device to extract accurate temperature from the BGS during testing, we have integrated the post-processing method inspired by curve fitting into the machine learning and proposed the efficient digital resampling filter. The resampling filter approach is achieved by the peak range algorithm with Gauss differential operator and digital band-pass filter. The evaluation results for different methods on the BGS datasets show the superior performance of our approach. Notably, the approach can increase temperature extraction accuracy and compress the sampling data. The RMSEA of the extraction temperature is 0.5635, which can bring an almost 21% accuracy increase over the classic method. Compared with the classic method of processing the original data on the same hardware platform, the amount of data post-processed by the filter is reduced by 75%; the time consumption is reduced by 22%.

Published
2022

7. Sweep frequency method with variance weight probability for temperature extraction of the Brillouin gain spectrum based on an artificial neural network

Author

Ming Hai Wang, Wei Nan Zhou, Xin Dong Zhang, Yang Sui, and Wei Dong

Subjects
Mean squared error, Artificial neural network, business.industry, Gaussian, Atomic and Molecular Physics, and Optics, Brillouin zone, symbols.namesake, Stochastic gradient descent, Optics, Sampling (signal processing), Brillouin scattering, symbols, Range (statistics), business, Algorithm, Mathematics
Abstract

The development of optical fiber sensors has led to the possibility of accumulating vast, real-time databases of acoustic and other measurements throughout fiber networks, which brings even more widespread concern on improving the sampling effectiveness. In this paper, we present two kinds of sweep frequency methods based on using a neural network to extract temperature from the Brillouin gain spectrum (BGS). Gauss centralization and variance weight probability methods are proposed to compare with the uniform sweep frequency method. By analyzing formulas of the ideal BGS model, we find the gain near the peak of Brillouin gain spectrum has greater correlation with temperature extraction than other positions. Therefore, the Gaussian centralized sweep method is proposed. We further investigate the variation of the weights in the neural network and Brillouin data distribution in different positions and find that the variance is positively correlated with the weights in hidden layers. So, we propose the sweep frequency method based on variance weight probability and make a complement to interpret the rationality of this method in neural network. In all the aforementioned approaches, 281 points are obtained between the 9.07 GHz to 9.35 GHz range under the same condition. The data of each method is trained ten times and tested through the same neural network structure. All the RMSE of each test stage covers all data collecting the passage. The result shows that the RMSE of variance weight probability sweep frequency method is 0.5277, which is superior to the Gauss centralization sweep frequency method that was 0.6864 and the uniform sweep frequency method that was 0.9140.

Published
2021

26. Dynamic flyer in barrel imaging via high intensity short-pulse laser.

Author

Chu GB, Wang Y, Yan YH, Yu MH, Shui M, Tan F, Tang D, Wang W, Wang L, He B, and Zhou WM

Abstract

The thin flyer is a small-scale flying object, which is well known as the core functional element of the initiator. Understanding how flyers perform has been a long-standing issue in detonator science. However, it remains a significant challenge to explore how the flyer is formed and functions in the barrel of the initiator via tabletop devices. In this study, we present dynamic and unprecedented images of flyer in barrel via high intensity short-pulse laser. Advanced radiography, coupled with a high-intensity picosecond laser X-ray source, has enabled the provision of state-of-the-art radiographs in a single-shot experiment for observing micron-scale flyer formation in a hollow cylinder in nanoseconds. The flyer was clearly visible in the barrel and was accelerated and restricted differently from that without the barrel. This first implementation of a tabletop X-ray source provided a new approach for capturing dynamic photographs of small-scale flying objects, which were previously reported to be accessible only via an X-ray phase-contrast imaging system at the advanced photon source. These efforts have led to a significant improvement of radiographic capability and a greater understanding of the mechanisms of "burst" of exploding foil initiators for this application.

Published
2024
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27. Improving the sensitivity of SPR sensors based on gratings by double-dips method (DDM).

Author

Cai D, Lu Y, Lin K, Wang P, and Ming H

Subjects
Computer Simulation, Equipment Design, Equipment Failure Analysis, Refractometry methods, Reproducibility of Results, Sensitivity and Specificity, Surface Plasmon Resonance methods, Surface Properties, Computer-Aided Design, Models, Theoretical, Refractometry instrumentation, Surface Plasmon Resonance instrumentation, Transducers
Abstract

The sensitivity of surface plasmon resonance (SPR) sensors based on gratings using angular interrogation is improved by optimizing the 1st-order diffraction dip recently but still can not exceed the prism-based systems. To improve the sensitivity of grating-based systems in another way, we realize sharp dips of the higher diffraction orders and propose double-dips method (DDM), a new way using the separation of two sharp dips of different orders to improve the sensitivity of SPR sensors based on gratings with good linearity. By DDM, the grating-based systems' sensitivity is improved into more than 237 deg/RIU, more sensitive than the prism-based systems in the same condition, and the quality parameter (Chi) factor reaches more than 95. In different performance comparisons, DDM has roundly better performances than other methods. Moreover, when the grating profile errs from rectangle, DDM still works well.

Published
2008
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28. Investigation of enhanced and suppressed optical transmission through a cupped surface metallic grating structure.

Author

Min C, Jiao X, Wang P, and Ming H

Abstract

Two-dimensional finite-difference time-domain (FDTD) method has been performed to numerically investigate the transmission through a one-dimension cupped surface metallic grating structure. The concept of coupling of optical modes in the notches and main slits, introduced by Crouse and Keshavareddy [1], is examined further in our work. Unexpected phenomenon is shown that even horizontal surface plasmons (HSPs) are inhibited, the transmission still can be enhanced or suppressed. And the periodicity of transmission depending on the phase change of the light striking on the grating surface is discovered. A hybrid optical mode combined by cavity mode and diffracted evanescent wave mode [2] is introduced to analyze the phenomenon.

Published
2006
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