A5101617264- Rock Mechanics and Modeling
- Geoscience and Mining Technology
- Geomechanics and Mining Engineering
- Geotechnical and Geomechanical Engineering
- Drilling and Well Engineering
- Tunneling and Rock Mechanics
- Advanced MRI Techniques and Applications
- Sparse and Compressive Sensing Techniques
- Mineral Processing and Grinding
- Landslides and related hazards
- Photoacoustic and Ultrasonic Imaging
- Remote Sensing and LiDAR Applications
- Optical Imaging and Spectroscopy Techniques
- Coal Properties and Utilization
- Geophysical Methods and Applications
- 3D Shape Modeling and Analysis
- Blasting Impact and Analysis
- Computer Graphics and Visualization Techniques
- High-Velocity Impact and Material Behavior
- Spectroscopy Techniques in Biomedical and Chemical Research
- Hydraulic flow and structures
- Microfluidic and Capillary Electrophoresis Applications
- Gait Recognition and Analysis
- Human Pose and Action Recognition
- NMR spectroscopy and applications
Central South University
2005-2024
Peking University
2024
Shaanxi Normal University
2017-2018
Xiamen University
2014-2015
The prediction of blasting vibration characteristic parameters is very important to evaluate the situations damage. Blasting rock mass affected by lots characteristics, such as charging parameter, type and geological topography. characteristics should be comprehensively considered in order accurately predict vibration. Based on training testing 93 sets measured data an open-pit mine, Support Vector Machine (SVM) Random Forest (RF) methods are applied peak particle velocity (PPV), first...
Conical picks are widely used as cutting tools in shearers and roadheaders, the mean force (MCF) is one of important parameters affecting conical pick performance. As MCF depends on a number due to that existing empirical theoretical formulas numerical modelling not sufficient enough reliable predict proficient manner. So, this research, novel intelligent model based random forest algorithm (RF) heuristic called salp swarm (SSA) have been applied determine optimal hyper-parameters RF, root...
Water affects the mechanical properties of coal and stress wave propagation. To comprehensively investigate effect water content on coal, laboratory tests including X-Ray Diffraction (XRD) analysis, P-wave test, S-wave static dynamic compression test with different contents were conducted. The compressive strength, elastic modulus failure strain their mechanism specimen under coupled static-dynamic load increased observed. Meanwhile, energy transmission dissipation characteristics a in...
Nuclear magnetic resonance (NMR) spectroscopy has become one of the most powerful technologies to aid research in numerous scientific disciplines. With development consumer electronics, mobile devices have played increasingly important roles our daily life. However, there is currently no application available for able perform basic NMR data processing. In this article, we introduce Touch NMR, a free iPad It capable handling induction decay Agilent, Bruker, and JEOL Delta formats. can also...
<div>Volumetric video (or hologram video), the medium for representing natural content in VR/AR/MR, is presumably</div><div>the next generation of technology and a typical use case 5G beyond wireless communications. To realize volumetric applications, efficient streaming critical demand. This article responds to challenges propose solutions transmission systems point cloud video, which most popular favored way represent media significantly differs from other types videos....
Bioluminescence tomography (BLT) is an important noninvasive optical molecular imaging modality in preclinical research. To improve the image quality, reconstruction algorithms have to deal with inherent ill-posedness of BLT inverse problem. The sparse characteristic bioluminescent sources spatial distribution has been widely explored and many L 1 -regularized methods investigated due sparsity-inducing properties norm. In this paper, we present a method based on L[Formula: see text]...
Understanding long-form videos requires precise temporal action segmentation. While existing studies typically employ multi-stage models that follow an iterative refinement process, we present a novel framework based on the denoising diffusion model retains this core principle. Within framework, iteratively produces predictions starting with random noise, conditioned features of input video. To effectively capture three key characteristics human actions, namely position prior, boundary...
Magnetic resonance imaging has been benefited from compressed sensing in improving speed. But the computation time of magnetic (CS-MRI) is relatively long due to its iterative reconstruction process. Recently, a patch-based nonlocal operator (PANO) applied CS-MRI significantly reduce error by making use self-similarity images. two major steps PANO, learning similarities and performing 3D wavelet transform, require extensive computations. In this paper, parallel architecture based on...
Bioluminescence tomography (BLT) is a promising optical molecular imaging technique in preclinical research. One key problem for BLT how to deal with the severe ill-posedness and obtain accurate stable reconstruction. We propose penalty method recovering bioluminescence sources, which we transform reconstruction of into an L1/2-norm solve it via nonmonotone proximal gradient suitable parameter update scheme. Simulations phantom experiments based on multispectral measurements were designed...