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Your search keyword '"Yueqing Fu"' showing total 3 results
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3 results on '"Yueqing Fu"'

1. Blade-Coated Porous 3D Carbon Composite Electrodes Coupled with Multiscale Interfaces for Highly Sensitive All-Paper Pressure Sensors

Author

Bowen Zheng, Ruisheng Guo, Xiaoqiang Dou, Yueqing Fu, Bingjun Yang, Xuqing Liu, and Feng Zhou

Subjects
Micro- and nano-structures, PEDOT:PSS, Flexible pressure sensors, Health monitoring, Multiscale interfaces, Technology
Abstract

Highlights A blade-coated composite paste, composed of a compressible 3D carbon skeleton, PEDOT:PSS, and CNTs, can naturally dry to form a porous electrode on paper with a micro- and nano-structured surface. The all-paper pressure sensor demonstrated an ultrahigh sensitivity of 1014 kPa−1, a wide responsive range up to 300 kPa, and an ultralow operating voltage of 0.01 V. The sensor showcased superior detection capability, ranging from subtle wrist pulses and robust finger taps to large-area spatial force.

Published
2024
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3. Visual compander in wavelet-based image coding

Author

Zhihui Wei, Zhiguo Gao, Shixin Cheng, and Yueqing Fu

Subjects
Discrete wavelet transform, Lifting scheme, business.industry, Second-generation wavelet transform, Stationary wavelet transform, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Variable-length code, Wavelet transform, Pattern recognition, Data_CODINGANDINFORMATIONTHEORY, Sub-band coding, Wavelet packet decomposition, Media Technology, Computer vision, Artificial intelligence, Electrical and Electronic Engineering, business, Mathematics
Abstract

In this paper, we propose a new wavelet-based image coding scheme which exploits jointly the statistical redundancy and the irrelevance properties of the human visual system. We first establish the visibility threshold model in the wavelet transform domain. Then, a visual compander is designed so that the output data of the compressor is visually uniform. A uniform quantizer and entropy coding are used for the output data. Experiment results show that our image coding scheme provides slightly improved visual quality without no degradation in PSNR, compared with the result of Shaprio's (1993) scheme.

Published
1998

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