|
|
|
|
|
Yuqing Yin, Xuehan Zhang, Rixia Lan, Xiaoyu Sun, Keli Wang and Tianbing Ma
This study proposes a new approach to gait recognition using LoRa signals, taking into account the challenging conditions found in underground coal mines, such as low illumination, high temperature and humidity, high dust concentrations, and limited spac...
ver más
|
|
|
|
|
|
|
|
|
Luka Crnogorac, Suzana Lutovac, Rade Tokalic, Milo? Gligoric and Zoran Gligoric
Relatively large deformations of the steel arch support in underground coal mines in the Republic of Serbia present one of the main problems for achieving the planned production of coal. Monitoring of the critical sections of the steel arch support in th...
ver más
|
|
|
|
|
|
|
|
|
Shaoze You, Hua Zhu, Menggang Li, Yutan Li and Chaoquan Tang
In recent years, discriminative correlation filters (DCF) based trackers have been widely used in mobile robots due to their efficiency. However, underground coal mines are typically a low illumination environment, and tracking in this environment is a c...
ver más
|
|
|
|
|
|
|
|
|
Yuguang Lyv, Wei Qiao, Weichi Chen, Xianggang Cheng, Mengnan Liu and Yingjie Liu
The new Shanghai No. 1 Coal Mine is located in arid and semiarid area of northwest China, which is characterized by scarce rainfall, intense evaporation, and limited water resources. High-intensity coal mining has caused severe damage to groundwater reso...
ver más
|
|
|
|
|
|
|
|
|
Xiaoyu Zhu, Huachao Yang, Hefang Bian, Yang Mei, Bolun Zhang and Peng Xue
Underground coal mining will inevitably cause serious ground deformation, and therefore, preventive mining-induced deformation analysis (MIDA) is of great importance in assisting mining planning and decision-making. Current web-based Geographic Informati...
ver más
|
|
|
|