Zobrazeno 1 - 10
of 295
pro vyhledávání: '"Jian Tang"'
Publikováno v:
Applied Sciences, Vol 14, Iss 6, p 2226 (2024)
High-resolution remote sensing imagery comprises spatial structure features of multispectral bands varying in scale, color, and shape. These heterogeneous geographical features introduce grave challenges to the fine segmentation required for classifi
Externí odkaz:
https://doaj.org/article/d816dd72fd1847b39399c801962db0db
Autor:
Yuan Liu, Jian Tang, Chen Feng, Chen Zhang, Yuwei Xue, Lei Zhang, Shuxi Xu, Jian Wang, Fang Dai, Ning Wang
Publikováno v:
Applied Sciences, Vol 13, Iss 8, p 5173 (2023)
Based on equal precision frequency measurement and pulse counting technique, a multi-period synchronous frequency measurement method is proposed in this paper. A programmed cymometer is designed with a full frequency band with equal precision measure
Externí odkaz:
https://doaj.org/article/3e6064f043884319a0e4c5691cb0f1f4
Publikováno v:
Applied Sciences, Vol 12, Iss 20, p 10246 (2022)
Single point positioning (SPP) can meet the requirements of the majority of real-time time transfer applications. Meanwhile, a single-frequency (SF) receiver is cheaper than a dual-frequency receiver. However, SPP performance can be greatly affected
Externí odkaz:
https://doaj.org/article/f7921593137f492297485bad838b646c
Publikováno v:
Applied Sciences, Vol 12, Iss 19, p 9703 (2022)
Although many adaptive techniques for active vibration reduction have been designed to achieve optimal performance in practical applications, few are related to reinforcement learning (RL). To explore the best performance of the active vibration redu
Externí odkaz:
https://doaj.org/article/192f250da0e94ef68a9e67fcedc23a18
Autor:
Shilong Huang, Xiaoliang Yan, Yunpeng Liu, Zijian Ye, Guangzhou Zhang, Jian Tang, Chen Liu, Yongshuang Li, Wangling He, Shanshan Quan, Yuqing Zhang
Publikováno v:
AIP Advances, Vol 11, Iss 6, Pp 065002-065002-14 (2021)
Corona discharge on the surface of power transmission and transformation fittings becomes increasingly serious with increasing voltage levels, especially for many grading rings in transformer substations. With the enhancement of people’s environmen
Externí odkaz:
https://doaj.org/article/e1ef465209844a5e8b561646b680a03d
Publikováno v:
Shock and Vibration, Vol 2020 (2020)
The conventional pooling method for processing one-dimensional vibration signals may lead to certain issues, such as weakening and loss of feature information. The present study proposes the cubic spline interpolation pooling method. The method is ap
Externí odkaz:
https://doaj.org/article/2e2df5ecfef04a44b80ad497874a196e
Publikováno v:
Shock and Vibration, Vol 2020 (2020)
This paper constructs a novel network structure (SVD-1DCNN) based on singular value decomposition (SVD) and one-dimensional convolutional neural network (1DCNN), which takes the original signal as input to realize intelligent diagnosis of bearing fau
Externí odkaz:
https://doaj.org/article/5fa96d794e0040bfa47782958fc32a15
Publikováno v:
Physics Letters B, Vol 774, Iss C, Pp 217-224 (2017)
The possible existence of light and heavy sterile neutrinos may give rise to direct and indirect unitarity violation of the 3×3 lepton mixing matrix respectively. In the current work we study the potential of future accelerator neutrino facilities i
Externí odkaz:
https://doaj.org/article/728cf5012844421fa5d6f9f00999f5f6
Publikováno v:
Applied Sciences, Vol 10, Iss 7, p 2420 (2020)
Indoor mobile mapping techniques are important for indoor navigation and indoor modeling. As an efficient method, Simultaneous Localization and Mapping (SLAM) based on Light Detection and Ranging (LiDAR) has been applied for fast indoor mobile mappin
Externí odkaz:
https://doaj.org/article/5222f332a6844ec39e4d2695d215155e
Publikováno v:
Applied Sciences, Vol 9, Iss 13, p 2743 (2019)
Effective intelligent fault diagnosis of bearings is important for improving safety and reliability of machine. Benefiting from the training advantages, deep learning method can automatically and adaptively learn more abstract and high-level features
Externí odkaz:
https://doaj.org/article/513f8bf811eb491dab82fad9ce1ea4c2