A5002514257- Optical measurement and interference techniques
- Advanced Measurement and Detection Methods
- Optical Systems and Laser Technology
- Medical Imaging Techniques and Applications
- Advanced Radiotherapy Techniques
- Mineral Processing and Grinding
- Advanced Measurement and Metrology Techniques
- Surface Roughness and Optical Measurements
- Occupational Health and Safety Research
- Safety and Risk Management
- Image Processing Techniques and Applications
- Evaluation and Optimization Models
- stochastic dynamics and bifurcation
- Robotic Locomotion and Control
- Minerals Flotation and Separation Techniques
- Radiation Dose and Imaging
- Lung Cancer Diagnosis and Treatment
- Granular flow and fluidized beds
- Machine Fault Diagnosis Techniques
- Engineering and Material Science Research
- Chaos control and synchronization
- Digital Imaging for Blood Diseases
- Ultrasonics and Acoustic Wave Propagation
- Risk and Safety Analysis
- Fault Detection and Control Systems
China University of Mining and Technology
2013-2024
Ministry of Civil Affairs
2023-2024
University of Maryland, Baltimore
2013-2015
University of Maryland Medical Center
2013
University of Nebraska Medical Center
2012
Huazhong University of Science and Technology
2007-2009
Devon Energy (Canada)
1985
This letter is resulted from IEEE TIV's Decentralized and Hybrid Workshops (DHW) on Autonomous Mining (AM). We have already conducted 2 distributed/decentralized hybrid symposia (DHS), 5 DHWs, more than 10 seminars AM in the past year. The following a brief summary key components our DHS, Seminars about ethics, responsibility, sustainability intelligent vehicles (IVs) artificial intelligence (AI) for (Wang, 2022), (Cao et al., 2022).
Recognition and separation of Coal/Gangue are important phases in the coal industries for many aspects. This paper addressed topic recognition built a new model called (CGR-CNN) based on Convolutional Neural network (CNN) using thermal images as standard recognition. The CGR-CNN has been developed, augmentation principle applied order to increase dataset best experimental results have achieved (99.36%) learning accuracy (95.09%) validation accuracy, prediction phase (160) gangue (80 both)...
Distinguishing between coal and gangue in the production lines of mining factories based on thermal energy infrared radiation emission an object is feasible. In this paper, we use camera (IC) to distinguish industrial field. Additionally, system considered be a binary classification that has two classes. We analyze images gangue; then extract appropriate texture features from order develop accurate by using support vector machine (SVM). The method applied work essentially depends feature...
Abstract It is essential to provide disaster relief assistance after coal mine explosions. Often, it life‐threatening for rescuers enter an accident scene blindly; therefore, a rescue robot (CMRR) has been developed. However, the application of CMRR not proven satisfactory decades development. To solve this problem, we summarize reasons disappointing state and address technical challenges CMRR. Based on these associated challenges, two generations tracked robots have The China University...
Computer-vision-based separation methods for coal gangue face challenges due to the harsh environmental conditions in mines, leading reduction of accuracy. So, rather than purely depending on image features distinguish gangue, it is meaningful utilize fixed characteristics like density. This study achieves classification and based their mass, volume, weight. A dataset weight 3_side images collected. By using visual perception value volume extracted (ExM) represent object. Support Vector...
Owing to the enormous demand for and growing large-scale use of coal in China, India USA speculation has arisen about possible hazards environmental quality human health. The contents fly ash volatile matter low-quality are extremely harmful environment. As a result, there is still much be explored regarding known harms natural environment Earth. For detection high-quality coal, we propose new method distinguishing or types (i.e., anthracite, bituminous subbituminous lignite) efficiently...
The ultrasonic nondestructive method is introduced into the elastic constants measurement of metal material. extraction principle Poisson’s ratio, modulus, and shear modulus deduced from propagating equations with two kinds vibration model medium named longitudinal wave transverse wave, respectively. velocity measured by using digital correlation technique between original signal echo bottom surface, then material are calculated. feasibility algorithm verified a simulation procedure....
Mobile robots in complex underground coal mine environments are still unable to achieve accurate pose estimation and the real-time reconstruction of scenes with absolute geographic information. Integrated terrestrial-underground localization mapping technologies have not been effectively developed. This paper proposes a multimodal robust SLAM method based on wireless beacon-assisted information transmission lidar-IMU-UWB elastic fusion mechanism (LIU-SLAM). In order obtain scene models...
In order to realize the scientific evaluation of coal mine safety risks, accident report is used as data sample, and grounded theory explore causes risks. At same time, combined with existing research results, a risk index system constructed. Monte Carlo Simulation (MCS) optimize analytic hierarchy process (AHP) determine weights. Then, assessment model based on AHP-MCS coupling technique for preference by similarity ideal solution (TOPSIS) established combining TOPSIS. Taking Lingquan Coal...