Zobrazeno 1 - 10
of 191
pro vyhledávání: '"Hongping Hu"'
Publikováno v:
Micromachines, Vol 15, Iss 10, p 1205 (2024)
In order to provide a convenient and fast calculation method, the equivalent circuit of a novel stacked piezoelectric cymbal vibrator is studied. The equivalent circuit model of the piezoelectric stack is derived by combining the equivalent circuit m
Externí odkaz:
https://doaj.org/article/b789f17d992a4570aa0443c8e24a67b6
Autor:
Fangyuan Li, Yi Feng, Xiu Liu, Jingjing Hao, Dong Wang, Hongping Hu, Chang Song, Jing Hu, Quanbi Zhao, Hua Liang, Lingjie Liao, Yuhua Ruan, Hui Xing
Publikováno v:
Pathogens, Vol 13, Iss 5, p 367 (2024)
With shared routes of transmission, HBV and HCV co-infection are estimated to occur more in subjects with HIV. This study aimed to characterize and describe the prevalence of HBV and HCV co-infections in a cohort of newly diagnosed HIV+ subjects livi
Externí odkaz:
https://doaj.org/article/84c959099efa4e869f364f06934e7647
Publikováno v:
Journal of Low Frequency Noise, Vibration and Active Control, Vol 42 (2023)
A high-precision equipment is very sensitive to vibration, even micro vibration. How to isolate the low-frequency broadband multidirectional vibration remains a challenge. As the main component of piezoelectric smart vibration isolation model, the pi
Externí odkaz:
https://doaj.org/article/67f116e787b04234a4a456e4b82f558c
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 1, Pp 1519-1537 (2023)
Testing-culling is a very effective measure for the prevention and control of animal diseases. In this paper, based on sheep brucellosis control policies and animal testing characteristics and considering the limitation of culling resources, a dynami
Externí odkaz:
https://doaj.org/article/4f21ab2199c349299f132690e8a408d4
Publikováno v:
Micromachines, Vol 14, Iss 11, p 2039 (2023)
As demand for haptic feedback increases, piezoelectric materials have become one of the best candidate materials due to their small size, high electromechanical coupling coefficient, and fast response. A stacked piezoelectric cymbal vibrator is propo
Externí odkaz:
https://doaj.org/article/3f68342a741b458c91b6c6d2b8888dbd
Publikováno v:
PLoS ONE, Vol 18, Iss 8, p e0290989 (2023)
A novel breast ultrasound tomography system based on a circular array of capacitive micromechanical ultrasound transducers (CMUT) has broad application prospects. However, the images produced by this system are not suitable as input for the training
Externí odkaz:
https://doaj.org/article/93fea22720a14e74afab9905b651b5dd
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract Grasshopper optimization algorithm (GOA) proposed in 2017 mimics the behavior of grasshopper swarms in nature for solving optimization problems. In the basic GOA, the influence of the gravity force on the updated position of every grasshoppe
Externí odkaz:
https://doaj.org/article/62b21fe5ff414fe6aad9324f690665bd
Autor:
Xiaojun Ma, Huifang Wang, Junwei Huang, Yan Geng, Shuqi Jiang, Qiuping Zhou, Xuan Chen, Hongping Hu, Weifeng Li, Chengbin Zhou, Xinglin Gao, Na Peng, Yiyu Deng
Publikováno v:
BMC Infectious Diseases, Vol 20, Iss 1, Pp 1-9 (2020)
Abstract Background COVID-19 has become a major global threat. The present study aimed to develop a nomogram model to predict the survival of COVID-19 patients based on their clinical and laboratory data at admission. Methods COVID-19 patients who we
Externí odkaz:
https://doaj.org/article/d69d406499fd4ccf89757165bc3ab776
An Improved Harris’s Hawks Optimization for SAR Target Recognition and Stock Market Index Prediction
Publikováno v:
IEEE Access, Vol 8, Pp 65891-65910 (2020)
Harris's hawks optimization (HHO) algorithm proposed in 2019 is a novel population-based, nature-inspired optimization paradigm that imitates the cooperative behavior and chasing style of Harris's hawks in nature called surprise pounce. Inspired by p
Externí odkaz:
https://doaj.org/article/d737f34c88df4c09a2073fb7d573a661
Publikováno v:
IEEE Access, Vol 8, Pp 176217-176231 (2020)
Although convolutional neural networks (CNN) have shown excellent performance in many image recognition tasks, it commonly requires a lot of labeled data, and the recognition effect is frequently unsatisfied due to the limited labeled training data.
Externí odkaz:
https://doaj.org/article/d90c804ed6364eef83aa74fbbf067f31