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148 results on '"Chen, Miaogen"'

4. Improvement of image classification by multiple optical scattering

Author

Gao, Xinyu, Li, Yi, Qiu, Yanqing, Mao, Bangning, Chen, Miaogen, Meng, Yanlong, Zhao, Chunliu, Kang, Juan, Guo, Yong, and Shen, Changyu

Subjects
Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

Multiple optical scattering occurs when light propagates in a non-uniform medium. During the multiple scattering, images were distorted and the spatial information they carried became scrambled. However, the image information is not lost but presents in the form of speckle patterns (SPs). In this study, we built up an optical random scattering system based on an LCD and an RGB laser source. We found that the image classification can be improved by the help of random scattering which is considered as a feedforward neural network to extracts features from image. Along with the ridge classification deployed on computer, we achieved excellent classification accuracy higher than 94%, for a variety of data sets covering medical, agricultural, environmental protection and other fields. In addition, the proposed optical scattering system has the advantages of high speed, low power consumption, and miniaturization, which is suitable for deploying in edge computing applications.

Published
2021

35. Epitaxial growth of hexahedral Fe2O3@SnO2 nano-heterostructure for improved lithium-ion batteries.

Author

Wang, Xiong, Wang, Rui, Kang, Qiaoling, Gao, Feng, Chen, Miaogen, Xu, Yang, Ge, Hongliang, and Li, Dongyun

Subjects
EPITAXY, LITHIUM-ion batteries, ELECTRIC batteries, LITHIUM, CHEMICAL kinetics, CUBES
Abstract

Fe2O3 is one of the most important lithium storage materials and has attracted increasing interest owing to its good capacity in theory, abundant reserves, and better security. The utilization of Fe2O3 materials is hampered by their inferior cycle performance, low rate performance, and restricted composite variety. Herein, the heterostructure of Fe2O3@SnO2 with hexahedral structure was manufactured by two- step hydrothermal strategy, while the SnO2 nanopillars were epitaxially grown in six faces, not in the twelve edges of hexahedral Fe2O3 cubes, which comes from maximizing lattice matching on the six surfaces of Fe2O3. Furthermore, the experimental results prove that the hexahedral Fe2O3@SnO2 heterostructure exhibits remarkably enhanced electrochemical reversibility and reaction kinetics and delivers an impressive initial discharge capacity (1742 mA h g−1 at 4 A g−1), great rate performance (565 mA h g−1 at 5 A g−1), and stable long-term durability (661 mA h g−1 after 4000 cycles at 4 A g−1) as an anode for LIBs. The result of the finite element mechanical simulation further indicates that the SnO2 nanopillars grow on the six surfaces but not on the twelve edges of the hexahedral Fe2O3 cube, which would provide great rate performance and long-term stability. This study underlines the merits of the heterostructure and offers a useful design routine for superior electrode materials in LIBs. [ABSTRACT FROM AUTHOR]

Published
2023
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36. Significant Non-Bias-Field Magnetoelectric Response and High Output Power in a Novel Combination Based on Terfenol-D and Electrets

Author

Lin Anli, Wang Jianfeng, Wang Susu, Zhou Haomiao, He Jian, Jiao Zhi-wei, Zhou Yun, and Chen Miaogen

Subjects
010302 applied physics, Materials science, business.industry, Energy conversion efficiency, Magnetostriction, 01 natural sciences, Signal, Electronic, Optical and Magnetic Materials, Magnetic field, 0103 physical sciences, Optoelectronics, Electrical and Electronic Engineering, business, Sensitivity (electronics), Energy (signal processing), Voltage, DC bias
Abstract

A new magnetoelectric (ME) sensing combination based on a magnetostrictive Terfenol-D rod and electret membrane has been proposed. AC signal and dc bias magnetic field dependences of the induced ac voltage were investigated using the traditional dynamic ME measurement. The results show that the induced ac voltage is strongly dependent on the applied ac signal and dc bias magnetic field. A significant ME response with high sensitivity and high tunability was obtained, and the optimized ME voltage output with high output power is observed for a zero bias dc magnetic field. The minimum limit of detection and maximum dc bias field tunability are 0.056 mA (or 5.27 $\times \,\,10^{-{7}}$ T) and 98.42%, respectively. In addition, both the induced ac voltage and output power are strongly dependent on the frequency of the driving ac signal magnetic field. A wide working frequency range and high energy conversion efficiency are observed with this combination. These findings not only provide insight into the dynamic measurement of ME response beyond ME materials but also provide a new type of sensing combination, possessing potential application in ME sensors, energy converters, switches, and magnetic detectors.

Published
2020
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