|
|
|
|
|
Tianhao Wang, Hongying Meng, Rui Qin, Fan Zhang and Asoke Kumar Nandi
Wind turbines are a crucial part of renewable energy generation, and their reliable and efficient operation is paramount in ensuring clean energy availability. However, the bearings in wind turbines are subjected to high stress and loads, resulting in fa...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tianhao Cai, Feng Lyu, Tianzhi Wang and Fushi Huang
Conventional cabled seafloor observatories (CSOs) power in-situ instruments via wet-mated or dry-mated direct electrical contact (DEC) connectors to achieve long-term and real-time observation. However, the DEC connectors have high risks of water leakage...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tianhao Hou, Hongyan Xing, Xinyi Liang, Xin Su and Zenghui Wang
Marine sensors are highly vulnerable to illegal access network attacks. Moreover, the nation?s meteorological and hydrological information is at ever-increasing risk, which calls for a prompt and in depth analysis of the network behavior and traffic to d...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaopu Wang, Lianjie Hou, Tianhao He, Zhenhan Diao, Chuanjin Yao, Tao Long and Ling Fan
Oil pollution in soil-groundwater systems is difficult to remove, and a large amount of residual oil is trapped in the low permeable layer of the heterogeneous aquifer. Aromatic hydrocarbons in oil have high toxicity and low solubility in water, which ar...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shuo Liu, Yaxia Wei, Yuanrong Lu, Zhi Wang, Meiyun Han, Tianhao Wei, Yin Xia, Haipeng Li, Shuli Gao and Pengfei Zheng
An accelerator-based in situ materials surveillance on a tokamak.
|
|
|
|
|
|
|
|
|
|
|
Dongyang Wang, Yubin Zou, Peng Zhang, Jie Zhao, Kaiyue Zhao, Meiyun Han, Tianhao Wei, Yin Xia and Yuanrong Lu
Understanding moisture transport is an important step in the study of the durability of cement-based materials. A neutron imaging detection method for water transport in cement-based materials, based on a compact neutron source is provided. We visualize ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tianhao Zhang, Wei Gong, Wei Wang, Yuxi Ji, Zhongmin Zhu and Yusi Huang
Highly accurate data on the spatial distribution of ambient fine particulate matter (<2.5 µm: PM2.5) is currently quite limited in China. By introducing NO2 and Enhanced Vegetation Index (EVI) into the Geographically Weighted Regression (GWR) model, a ne...
ver más
|
|
|
|
|
|