Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Zhitian Li"'
Autor:
Kunfeng Wang, XingYin Xiong, Zheng Wang, Liangbo Ma, BoWen Wang, WuHao Yang, Xiaorui Bie, ZhiTian Li, XuDong Zou
Publikováno v:
Microsystems & Nanoengineering, Vol 9, Iss 1, Pp 1-11 (2023)
Abstract The development of mode-localized sensors based on amplitude output metrics has attracted increasing attention in recent years due to the potential of such sensors for high sensitivity and resolution. Mode-localization phenomena leverage the
Externí odkaz:
https://doaj.org/article/931ed0c7e39247dd8dfa6bcc8f760a97
Autor:
Jie Sun, Wuhao Yang, Tianyi Zheng, Xingyin Xiong, Yunfei Liu, Zheng Wang, Zhitian Li, Xudong Zou
Publikováno v:
Microsystems & Nanoengineering, Vol 7, Iss 1, Pp 1-11 (2021)
Abstract Reservoir computing is a potential neuromorphic paradigm for promoting future disruptive applications in the era of the Internet of Things, owing to its well-known low training cost and compatibility with hardware. It has been successfully i
Externí odkaz:
https://doaj.org/article/2b7df4daceee4c579c85801624139435
Publikováno v:
Micromachines, Vol 14, Iss 8, p 1556 (2023)
Due to the working principle of MEMS resonant accelerometers, their thermally induced frequency drift is an inevitable practical issue for their extensive application. This paper is focused on reducing the thermally induced packaging effects on the f
Externí odkaz:
https://doaj.org/article/61437a9041754d0d8870d004693d102c
Autor:
Xiaoguang Ye, Zhitian Li, Yidan Li, Qizhe Cai, Lanlan Sun, Weiwei Zhu, Xueyan Ding, Dichen Guo, Yunyun Qin, Xiuzhang Lu
Publikováno v:
BMC Cardiovascular Disorders, Vol 21, Iss 1, Pp 1-9 (2021)
Abstract Introduction The left atrial (LA) strain and strain rate are sensitive indicators of LA function. However, they are not widely used for the evaluation of pregnant women with metabolic diseases. The aim of this study was to assess the LA stra
Externí odkaz:
https://doaj.org/article/49af28a3cf804d35a15aef39ba467bd7
Publikováno v:
Biotechnology & Biotechnological Equipment, Vol 34, Iss 1, Pp 515-521 (2020)
The aim of this study was to investigate the association between expressions of five periodontal pathogens (Actinobacillus actinomycetemcomitans (Aa), Porphyromonas gingivalis (Pg), Tannerella forsythensis (Tf), Treponema denticola (Td) and Prevotell
Externí odkaz:
https://doaj.org/article/0172a60554a94c8ab8ec567bfbae106f
Publikováno v:
Micromachines, Vol 13, Iss 4, p 602 (2022)
Nowadays, accurate and robust localization is preliminary for achieving a high autonomy for robots and emerging applications. More and more, sensors are fused to guarantee these requirements. A lot of related work has been developed, such as visual-i
Externí odkaz:
https://doaj.org/article/cb8d50a52d974659960b84078dd0d623
Publikováno v:
IEEE Photonics Journal, Vol 9, Iss 5, Pp 1-13 (2017)
With the increasing demand for indoor positioning-based services, indoor positioning methods based on Bluetooth, Wi-Fi, ultra wide band (UWB), inertial navigation, and visual light communications (VLC) have been proposed. Considering the limitations
Externí odkaz:
https://doaj.org/article/fec9eadd98b940c183288192b38d2c5c
Publikováno v:
Sensors, Vol 21, Iss 9, p 2961 (2021)
Reservoir computing (RC) is an attractive paradigm of a recurrent neural network (RNN) architecture, owning to the ease of training and existing neuromorphic implementation. Its simulated performance matches other digital algorithms on a series of be
Externí odkaz:
https://doaj.org/article/c43bfc6d702c41799b9ebf8e86d4a226
Publikováno v:
Sensors, Vol 20, Iss 24, p 7033 (2020)
Non-contact and non-destructive acceleration measurement is receiving considerable attention due to their low cost, flexibility, and simplicity of implementation, as well as their excellent performance in some emerging applications such as medical el
Externí odkaz:
https://doaj.org/article/49ef72b270dd49c08d66f9df317e5a2f
Range-Aided Drift-Free Cooperative Localization and Consistent Reconstruction of Multi-Ground Robots
Autor:
Haifeng Zhang, Zhitian Li, Shuaikang Zheng, Pengcheng Zheng, Xingdong Liang, YanLei Li, Xiangxi Bu, Xudong Zou
Publikováno v:
IEEE Robotics and Automation Letters. 8:2094-2101
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e56b062ba651b11d5f3960fbcc5b7941
https://doi.org/10.1109/lra.2023.3244721
https://doi.org/10.1109/lra.2023.3244721