A5074546620- Rock Mechanics and Modeling
- Geophysical Methods and Applications
- Geotechnical and Geomechanical Engineering
- Landslides and related hazards
- Geoscience and Mining Technology
- Geomechanics and Mining Engineering
- Energy Efficient Wireless Sensor Networks
- earthquake and tectonic studies
- Mobile Ad Hoc Networks
- Geotechnical Engineering and Underground Structures
- Wireless Networks and Protocols
- Advanced MIMO Systems Optimization
- Seismology and Earthquake Studies
- Tunneling and Rock Mechanics
- Advanced Computational Techniques and Applications
- Advanced Algorithms and Applications
- Machine Fault Diagnosis Techniques
- Indoor and Outdoor Localization Technologies
- Remote Sensing and Land Use
- Opportunistic and Delay-Tolerant Networks
- Atmospheric and Environmental Gas Dynamics
- Earthquake Detection and Analysis
- Power Systems and Technologies
- Structural Response to Dynamic Loads
- Sparse and Compressive Sensing Techniques
Northeastern University
2015-2024
Shanghai Institute of Microsystem and Information Technology
2013-2023
Chinese Academy of Sciences
2013-2021
University of Chinese Academy of Sciences
2020
University of Science and Technology of China
2018
Institute of Rock and Soil Mechanics
2017
Ministry of Education of the People's Republic of China
2014
People's Hospital of Cangzhou
2004
This paper reviews the recent achievements made by our team in mitigation of rockburst risk. It includes development neural network modeling on risk assessment for deep gold mines South Africa, an intelligent microseismicity monitoring system and sensors, understanding evolution process using laboratory situ tests monitoring, establishment a quantitative warning method location intensities different types rockburst, measures dynamic control rockburst. The at Hongtoushan copper mine is...
This study mainly investigates the effects of binder content, water to (w/b) ratio, activator dosage, and sodium silicate hydroxide (SS/SH) ratio on uniaxial compressive strength (UCS) ultrasonic pulse velocity (UPV) cemented paste backfill (CPB) containing AAS (AAS-CPB). Experimental results show that both UPV UCS AAS-CPB increases linearly with increasing content or decreasing w/b ratio. At low levels, an increase in dosage yields higher UPV, while negative are found excessively high...
Drilling and blasting remains the primary method of rock fragmentation in metal mining. However, vibration can adversely affect stability rock. Therefore, prediction is essential mining industry. This paper proposes a combination principal component analysis (PCA) support vector machine (SVM) model to predict vibration. Here, PCA was used simplify inputs SVM. Relative location monitoring point source, total charge, maximum charge per delay, number delays, burden, spacing, height, horizontal...
Tracking a mobile target, which aims to timely monitor the invasion of specific is one most prominent applications in wireless sensor networks (WSNs). Traditional tracking methods WSNs only based on static nodes (SNs) have several critical problems. For example, void loss many SNs must be active track target all possible directions, resulting excessive energy consumption. Additionally, when entering coverage holes monitoring area, may missing and then its state unknown during this period. To...