A5100409423- Probabilistic and Robust Engineering Design
- Advanced Numerical Analysis Techniques
- Advanced Multi-Objective Optimization Algorithms
- Vehicle Noise and Vibration Control
- Numerical methods in engineering
- Soil, Finite Element Methods
- Big Data Technologies and Applications
- Fatigue and fracture mechanics
- Seismic Imaging and Inversion Techniques
- Advanced Numerical Methods in Computational Mathematics
- Additive Manufacturing and 3D Printing Technologies
- Advanced Adaptive Filtering Techniques
- Construction Project Management and Performance
- Green IT and Sustainability
- Urban Transport and Accessibility
- Risk and Portfolio Optimization
- Occupational Health and Safety Research
- Point processes and geometric inequalities
- Noise Effects and Management
- Grey System Theory Applications
- Marine Bivalve and Aquaculture Studies
- Risk and Safety Analysis
- Medical Image Segmentation Techniques
- Technology Adoption and User Behaviour
- Topology Optimization in Engineering
Beijing Academy of Science and Technology
2022-2024
Nanjing University of Aeronautics and Astronautics
2023-2024
Jimei University
2022
China Shipbuilding Industry Corporation (China)
2021
Ocean University of China
2020
China University of Petroleum, East China
2020
The University of Texas at Austin
2019
Wuhan University of Technology
2015-2017
Southwestern University of Finance and Economics
2017
China University of Petroleum, Beijing
2015
The Tesserae project investigates how a suite of sensors can measure workplace performance (e.g., organizational citizenship behavior), psychological traits personality, affect), and physical characteristics sleep, activity) over one year. We enrolled 757 information workers across the U.S. heart rate, activity, social context, other aspects through smartwatches, phone agent, beacons, media. report challenges that we faced with enrollment, privacy, incentive structures while setting up such...
Assessing performance in the workplace typically relies on subjective evaluations, such as, peer ratings, supervisor ratings and self assessments, which are manual, burdensome potentially biased. We use objective mobile sensing data from phones, wearables beacons to study offer new insights into behavioral patterns that distinguish higher lower performers when considering roles companies (i.e., supervisors non-supervisors) different types of high tech consultancy). present initial results an...
This paper studies the thermo-poroelasticity model. By introducing an intermediate variable, we transform original three-field model into a four-field Building upon this model, present both coupled finite element method and decoupled iterative method. We prove stability optimal convergence of Furthermore, establish focuses primarily on analyzing algorithm. It demonstrates that algorithm's does not require any additional assumptions about physical parameters or stabilization parameters....
Stein variational gradient decent (SVGD) has been shown to be a powerful approximate inference algorithm for complex distributions. However, the standard SVGD requires calculating of target density and cannot applied when is unavailable. In this work, we develop gradient-free variant (GF-SVGD), which replaces true with surrogate gradient, corrects induced bias by re-weighting gradients in proper form. We show that our GF-SVGD can viewed as special choice kernel, hence directly inherits...
Reliable and efficient risk assessments are essential to deal effectively with potential risks in international construction projects. However, most conventional modeling methods based on the hypothesis that factors independent, which does not account adequately for causal relationships among factors. In this study, a assessment model projects was developed improve efficacy of management by integrating fault tree analysis fuzzy set theory Bayesian belief network. The rating each factor,...
Simulation-based hull form optimization is a typical HEB (high-dimensional, expensive computationally, black-box) problem. Conventional algorithms easily fall into the "curse of dimensionality" when dealing with problems. A recently proposed Cross-Entropy (CE) algorithm an advanced stochastic based on probability model, which has potential to deal high-dimensional Currently, CE still in theoretical research stage and rarely applied actual engineering optimization. One reason that Monte Carlo...
Sobol' sensitivity analysis method is widely used as a classical approach in global analysis. this paper improves the integral for calculating conditional variance, and proves that it can reduce error view of Monte Carlo method; besides, low discrepancy sequence replaced by another quasi-random numbers with lower star generated uniform design to increase accuracy Quasi-Monte method. A numerical example verifies both measures effectively improve estimation index
Conducting the RT analysis of large-scale data stream severely challenges IT hardware facilities and system Architecture.To cope with needs analysis, article analyzes compares mainstream open-source technology then designs architecture that consists collection, distribution, real-time computing, persistent storage, resource allocation scheduling.
Fiber-hybridization is an effective strategy to overcome the catastrophic fracture of fiber-reinforced polymer composites via achieving pseudo-ductility. However, demonstration pseudo-ductile behavior limited by low carbon fiber volume fraction, i.e. stiffness and strength, for traditional carbon/glass hybrid with all layers centralized in middle. In this work, a new layup concept based on layer dispersion was introduced improve fraction while maintaining behavior. Different configurations...
The noise of stationary equipment is usually controlled by the sound insulation shield with mufflers. However, there not enough space for installation in certain places or working conditions, so reduction measures are difficult to apply. control at near-field equipment, especially those infinitely close surface can solve problem insufficient space. At this time, it necessary design a structure ensure that have sufficient performance. In paper, designed equipment. experimental results show...
As an importance strategy to finance the transport infrastructure investment, transit‐oriented development (TOD) for railway depot is rapidly growing in China. However, railway‐induced noise emerged as leading environmental nuisance triggering one of most common public complaints. In order discuss influence on neighbourhood residents a TOD developed depot, special case study provided this study. Measurement campaigns were conducted responding complaints, and map was calculated finding out...
Conformal prediction is a simple and powerful tool that can quantify uncertainty without any distributional assumptions. Many existing methods only address the average coverage guarantee, which not ideal compared to stronger conditional guarantee. Existing of approximating require additional models or time effort, makes them easy scale. In this paper, we propose modified non-conformity score by leveraging local approximation distribution using kernel density estimation. The inherits spirit...
Summary The most obvious characteristics of tight reservoirs are low porosity and permeability. Under this assumption, we propose a new rock physics model. total is divided into the connected disconnected porosity. This paper modified matrix moduli using Raymer relations to separate porosity, made an analysis variation in saturated modulus different response fluid with introduction pores. We find that variable can build connection between frequency high where calculated by Gassmann effective...
A novel fourth order PDE model for image denoising is presented in this paper. Gaussian curvature integrated into the construction of geometrical energy functional within framework processing. The corresponding time dependent a combination three terms and third term with some feasible constrains. Image attained by surface evolution driven curvature. new avoids staircase effect preserves edges while smoothing noise. Experimental results are given to demonstrate performance proposed method.
In recent years, online lending platforms have emerged a lot of insecurity events. How to judge the security state and health degree are becoming most concerned problems for investors supervision departments. this paper, we’ve adopted massive data acquisition technology. Spark distributed computing, machine learning other bigdata technologies analyze risks platform. Then, risk early warning model based on factor analysis method was proposed. Practice has proved that can help improve...