A5100721605- Metal and Thin Film Mechanics
- Crime, Illicit Activities, and Governance
- Phase Equilibria and Thermodynamics
- Diamond and Carbon-based Materials Research
- Advanced Surface Polishing Techniques
- nanoparticles nucleation surface interactions
- Coagulation and Flocculation Studies
- Advanced Control Systems Optimization
- Hydrocarbon exploration and reservoir analysis
- Statistical Methods and Bayesian Inference
- Imbalanced Data Classification Techniques
- Thermodynamic properties of mixtures
- Geomechanics and Mining Engineering
- Vehicle emissions and performance
- Iterative Methods for Nonlinear Equations
- Advanced Sensor and Control Systems
- Air Quality and Health Impacts
- Inertial Sensor and Navigation
- Chemical Thermodynamics and Molecular Structure
- Simulation and Modeling Applications
- Subtitles and Audiovisual Media
- Border Security and International Relations
- Advanced machining processes and optimization
- Grouting, Rheology, and Soil Mechanics
- Structural Engineering and Vibration Analysis
Shandong University
2005-2023
Shandong Special Equipment Inspection Institute
2018
Harbin Institute of Technology
2013
University of Southern California
2013
Beijing Institute of Technology
2010
Anti-money laundering (AML) systems play a critical role in safeguarding global economy. As money is considered as one of the top group crimes, there crucial need to discover sub-network behind particular transaction for robust AML system. However, existing rule-based methods discovery heavily based on domain knowledge and may lag modus operandi launderers. Therefore, this work, we first address problem with neural network approach, propose an framework AMAP equipped adaptive proposer. In...
The limitation of current indentation theories was investigated and a method to determine the optimal constitutive model through spherical tests proposed. Two models, Power-law Linear-law, were used in Finite Element (FE) calculations, then set governing equations established for each model. load-depth data from normal depth fit best parameters while further loading part compared with those FE that better predicted deformation considered one. Moreover, Yang’s modulus calculation which took...
Abstract In this study, a revised elastic modulus calculation model which takes into account the plastic deformation in spherical indentation tests was proposed and reliability of aft...
An analytical method based on the extended expanding cavity model was proposed in this study to determine proof strength R p0.2 and flow properties of materials that obey Johnson–Cook constitutive from spherical indentation tests. The introduction made suitable for tensile property evaluation not only at room temperature but also elevated temperatures. validity verified through comparisons von Mises equivalent strain distributions obtained finite element analyses with corresponding results...
Aggregates of aluminum nanoparticles are good solid fuel due to high flame propagation rates. Multi-million atom molecular dynamics simulations reveal the mechanism underlying higher reaction rate in a chain as compared an isolated nanoparticle. This is penetration hot atoms from reacting adjacent, unreacted nanoparticle, which brings external heat and initiates exothermic oxidation reactions. The calculated speed 54 m/s, within range experimentally measured
The application of graph representation learning techniques to the area financial risk management (FRM) has attracted significant attention recently. However, directly modeling transaction networks using neural models remains challenging: Firstly, are directed multigraphs by nature, which could not be properly handled with most current off-the-shelf (GNN). Secondly, a crucial problem in FRM scenarios like anti-money laundering (AML) is identify risky transactions and naturally cast into an...
In this study, molecular dynamics simulation was used to explore the interaction characteristics of palmitic acid and CO 2 , effects temperature pressure on solubility in were investigated. range 293–353 K 5–30 MPa, snapshot distribution shows that chain high-density system is more straight dispersed than low-density system. The radial function further clearly decreases with increase increases pressure, which consistent fatty data reported literature setting rules supercritical extraction...
Shengli refinery plant process Middle-east crude oil, the equipment is exposed to wash erosion seriously. The elbow on entrance of atmospheric distillation tower top exchangers always leak for eroding. Measured thickness by ultrasonic meter every month, established GM(1,1) model with grey system theory, average relative error 1.8959%, passed check, eligible. Adding a number 100 elbow, then subtract it from result, improved GM (1, 1) model, and 1.3084%, increased prediction precision. Used...
The turned mass damper (TMD) system has found extensive applications in vibration control nowadays. main disadvantage of the is to add additional structures. In order make use its merits and overcome disadvantage, developed (DTMD) studied this paper. It uses equipment set on structure instead theory analysis shows that frequency range enlarged resonant band reduced with ratio increasing. FEM simulation DTMD could absorb more energy when near excitation frequency. platform better effect...
The application of graph representation learning techniques to the area financial risk management (FRM) has attracted significant attention recently. However, directly modeling transaction networks using neural models remains challenging: Firstly, are directed multigraphs by nature, which could not be properly handled with most current off-the-shelf (GNN). Secondly, a crucial problem in FRM scenarios like anti-money laundering (AML) is identify risky transactions and naturally cast into an...
In this paper, We briefly present an overview of Markov chain Monte Carlo(MCMC), the MCMC method is studied with LA long beach air pollution PM 2.5 traffic from 2001 to 2007 observations. A linear regression model was built. carried out statistical and graphical analysis convergence diagnostics Carlo sampling output. The conclusion illustrated that fitting datasets very significantly. This approach applies a large class utility functions models for Air traffic.