A5002889063- Geophysical Methods and Applications
- Dam Engineering and Safety
- Geotechnical Engineering and Underground Structures
- Ultrasonics and Acoustic Wave Propagation
- Bayesian Methods and Mixture Models
- High-pressure geophysics and materials
- Rock Mechanics and Modeling
- Non-Destructive Testing Techniques
- Advanced Malware Detection Techniques
- Landslides and related hazards
- Geoscience and Mining Technology
- Geophysical and Geoelectrical Methods
- Cloud Data Security Solutions
- Security and Verification in Computing
- Anomaly Detection Techniques and Applications
- Environmental Changes in China
- Infrastructure Maintenance and Monitoring
- Soil and Unsaturated Flow
- Groundwater flow and contamination studies
- Rare-earth and actinide compounds
- Algorithms and Data Compression
- Statistical Distribution Estimation and Applications
- Agriculture, Soil, Plant Science
- Environmental and Agricultural Sciences
- Seismic Imaging and Inversion Techniques
Chongqing Jiaotong University
2013-2025
Norsk Hydro (Germany)
2024
Hefei University of Technology
2024
Yunnan Water Conservancy and Hydropower Survey and Design Institute
2024
Jilin University
2022-2024
State Key Laboratory of Superhard Materials
2022-2024
University of Illinois Chicago
2024
Yunnan Agricultural University
2024
Guangdong Special Equipment Inspection and Research Institute
2023-2024
Shandong Special Equipment Inspection Institute
2024
The recent discovery of superconductive rare earth and actinide superhydrides has ushered in a new era superconductivity research at high pressures. This distinct type clathrate metal hydrides was first proposed for alkaline-earth-metal hydride CaH_{6} that, however, long eluded experimental synthesis, impeding an understanding pertinent physics. Here, we report successful synthesis its measured superconducting critical temperature T_{c} 215 K 172 GPa, which is evidenced by sharp drop...
Abstract In many biometrical applications, the count data encountered often contain extra zeros relative to Poisson distribution. Zero‐inflated regression models are useful for analyzing such data, but parameter estimates may be seriously biased if nonzero observations over‐dispersed and simultaneously correlated due sampling design or collection procedure. this paper, a zero‐inflated negative binomial mixed model is presented analyze set of pancreas disorder length stay (LOS) that comprised...
The flourishing rare earth superhydrides are a class of recently discovered materials that possess near-room-temperature superconductivity at high pressures, opening new era research pressures. Among these superhydrides, yttrium attracted great interest owing to their abundance stoichiometries and excellent superconductivities. Here, we carried out comprehensive study in wide pressure range 145-300 GPa. We successfully synthesized series with the compositions YH4, YH6, YH7, YH9, reported...
ABSTRACTBy combining time-frequency images and deep learning models, the nonlinear ultrasound signals can be classified, detected, predicted, using coefficient as a fundamental label for training models. This integrated approach enables quantitative identification real-time monitoring of concrete damage, promoting widespread adoption ultrasonic techniques in engineering applications. As basis, relationship between damage variations coefficients is discussed by performing testing on specimens...
This paper introduces a novel and comprehensive model for the analysis of dam deformation trends, integrating variational mode decomposition (VMD) method, fractal theory, whale optimization algorithm (WOA) to refine deep extreme learning machine (DELM) model. integration allows meticulous denoising process through VMD, effectively isolating pertinent signal characteristics from noise measurement interference. Following this, theory is utilized conduct an in‐depth qualitative denoised data,...
In many applied problems in the context of pattern recognition, data often involve highly asymmetric observations. Normal mixture models tend to overfit when additional components are included capture skewness data. Increased number pseudo-components could lead difficulties and inefficiencies computations. Also, contours fitted may be distorted. this paper, we propose adopt mixtures multivariate skew t distributions handle The EM algorithm is used compute maximum likelihood estimates model...
In the waterway construction projects of upper reaches Yangtze River, crushed mudstone particles are widely used to backfill foundations rock-socketed concrete-filled steel tube (RSCFST) piles, a structure adopted in port constructions. these projects, steel–mudstone interfaces experience complex loading conditions, and surface profile tends vary within certain ranges during operation. The changes boundary conditions material significantly impact bearing performance piles when subjected...
Abstract The reconstruction of monitoring data is an important step in the process structural health monitoring. Monitoring involves generating values that are close to true or expected values, and then using generated replace anomalous fill missing data. Deep learning models can be used reconstruct dam data, but current suffer from inabilities when dataset significantly incomplete, accuracy speed have needs for improvement. To this end, paper proposes a temporal nets (DTRN) based on...
Run-time attacks against programs written in memory-unsafe programming languages (e.g., C and C++) remain a prominent threat computer systems. The prevalence of techniques like return-oriented (ROP) attacking real-world systems has prompted major processor manufacturers to design hardware-based countermeasures specific classes run-time attacks. An example is the recently added support for pointer authentication (PA) ARMv8-A architecture, commonly used devices smartphones. PA low-cost...
Construction of engineering structures in geomaterials with soil-rock mixture (S-RM) is often a challenging task for engineers. When analyzing the stability structures, mechanical properties S-RM receive most attention. To study damage evolution characteristics under triaxial loading conditions, modified apparatus was used to conduct shear test on S-RM, and change electrical resistivity measured simultaneously. The stress-strain-electrical curve stress-strain different confining pressures...
The water-cement ratio significantly affects the mechanical properties of concrete with changes in porosity serving as a key indicator these properties, which are correlated ultrasonic wave velocity and energy evolution. This study conducts uniaxial compression tests on varying ratios, analyzing evolution variations during pore compaction stage comparing damage variables defined by dissipated velocity. results indicate following findings. (1) Higher ratios lead to more complete hydration,...
The health state of concrete is deteriorating during its service. Nonlinear ultrasonic detection based on the amplitude fundamental and second harmonic considered to be a powerful tool for discovery microcrack in concrete. However, research processing nonlinear signal still insufficient. In order highlight real frequency domain components signal, wavelet ensemble empirical mode decomposition (EEMD) were joined denoise numerical measured signal. optimal base level determined by...
Component based enterprise systems are becoming extremely complex in which the availability and usability influenced intensively by system's anomalies. Anomaly prediction is highly important for ensuring a stability, aims at preventing anomaly from occurring through pre-failure warning. However, due to nature noise monitoring, capturing symptoms challenging problem. In this paper, we present sequential an averaged recurrent neural networks (RNN) models distributed component systems....
In component based enterprise systems, anomaly detectors are commonly deployed on application-level components, but not lower-level functional components. When alarms triggered, system managers expected to handle them in a timely manner avoid cascading failures. Excessive large volume of makes impractical manually. Most existing root cause analysis methods the assumption that all components monitored and performed time correlation generated alarms. However, full monitoring coverage may be...