A5101796819- Probability and Risk Models
- Insurance, Mortality, Demography, Risk Management
- Advanced Computational Techniques and Applications
- Data Mining Algorithms and Applications
- Geomechanics and Mining Engineering
- Stochastic processes and financial applications
- Rock Mechanics and Modeling
- Civil and Geotechnical Engineering Research
- Statistical Distribution Estimation and Applications
- Higher Education and Teaching Methods
- Insurance and Financial Risk Management
- Rough Sets and Fuzzy Logic
- Infrared Target Detection Methodologies
- Hydrocarbon exploration and reservoir analysis
- Geoscience and Mining Technology
- Bayesian Methods and Mixture Models
- Optical Systems and Laser Technology
- Financial Risk and Volatility Modeling
- Adaptive Control of Nonlinear Systems
- Geotechnical Engineering and Analysis
- Hydraulic Fracturing and Reservoir Analysis
- Advanced Decision-Making Techniques
- Power Systems and Technologies
- Geotechnical Engineering and Underground Structures
- Drilling and Well Engineering
Meteorological Bureau of Shenzhen Municipality
2024
University of North Alabama
2023
China National Offshore Oil Corporation (China)
2023
Tsinghua University
2001-2023
State Key Joint Laboratory of Environment Simulation and Pollution Control
2022-2023
Beijing Academy of Quantum Information Sciences
2023
Chinese Academy of Sciences
1993-2022
Aerospace Information Research Institute
2022
Powerchina Huadong Engineering Corporation (China)
2011-2021
Anqing Normal University
2019-2021
In this paper, we focus on the problem of context-aware recommendation using tensor factorization. Traditional tensor-based models in scenario only consider user-item-context interactions. argue that rating can't be totally explained by interactions and also influenced combined impact overall mean, user bias, item bias context bias. Based hypothesis, propose a novel model named Bias Tensor Factorization, which take all factors into account. Additionally, traditional recommenders with...
Cryptocrystalline basalt is one of the two major types rocks exposed in super large-scale underground powerhouse Baihetan hydropower station China. The rock this type shows various site-specific mechanical responses (e.g. fragmentation, fracturing, and relaxation) during excavation. Using conventional triaxial testing facility MTS 815.03, we obtained stress–strain curves, macroscopic failure characteristics, strength characteristics cryptocrystalline basalt. On basis, evolution crack...
Four 16.7 km-long tunnels with diameters ranging from 12.4 to 14.6 m are now under construction at Jinping II hydropower station along the Yalong River. The pass through Triassic rocks below Mountain. characterized high overburden, long alignment and complex geological conditions. Brittle failure in marble squeezing schist primary problems tunnelling. This paper introduces studies of laboratory tests on as well numerical prediction excavation damaged zone (EDZ) tunnel section brittle...
The support is generally higher when the classical apriori algorithm used as mining data based on association rules, if small low then redundant frequent item set and rules are produced large, so local effective has a larger confidence smaller can not be mined out, which fatal defects of algorithm. According to defects, effectiveness proved at first, meanwhile, two kinds correction algorithms given: one apriori-con other classification further divided into three kinds, apriori-class-int...
Due to the complex diagenesis process, basalt usually contains defects in form of amygdales formed by diagenetic bubbles, which affect its mechanical properties. In this study, a synthetic rock mass method (SRM) based on combination discrete fracture network (DFN) and finite-discrete element (FDEM) is applied characterizing amygdaloidal basalt, systematically exploring effects development characteristics sample sizes properties basalt. The results show that with increasing amygdale content,...
In this paper, we consider the compound Poisson process that is perturbed by diffusion (CPD). We derive formulae for Laplace transform, expectation and variance of total duration negative surplus CPD also present some examples with an exponential individual claim amount distribution a mixture distribution.
In the study of Sparre Andersen risk model with phase‐type ( n ) inter‐claim times (PH model), distinct roots Lundberg fundamental equation in right half complex plane and linear independence eigenvectors related to matrix L δ s play important roles. this paper, we case where has multiple or corresponding are linearly dependent PH model. We show that det[L )] = 0 can be approximated by generalized introduced paper independent ones as well. Using result derive expressions for Gerber–Shiu...
The square lattice tower with tubular members (SLTTM) is widely used in civil engineering. Wind load the primary factor affecting stability of these structures. This paper presents wind loads SLTTM at different Reynolds numbers (Re) through tunnel testing and large eddy simulation (LES). A series tests four segment models were first conducted to discuss effects direction, turbulence intensity, solidity ratio on aerodynamic force under low subcritical numbers. LES method was subsequently...
Abstract In this paper, we study the expectation of aggregate dividends until ruin for a Sparre Andersen risk process perturbed by diffusion under threshold strategy, in which claim waiting times have common generalized Erlang( n ) distribution. For assume that if surplus is above certain level before ruin, are continuously paid at constant rate does not exceed premium rate, and not, no paid. We obtain some integro‐differential equations satisfied expected discounted dividends, further its...