A5100360105- Traffic control and management
- Transportation Planning and Optimization
- Evacuation and Crowd Dynamics
- Traffic Prediction and Management Techniques
- Hydraulic Fracturing and Reservoir Analysis
- Reservoir Engineering and Simulation Methods
- Marine Ecology and Invasive Species
- Enhanced Oil Recovery Techniques
- Hydrocarbon exploration and reservoir analysis
- Drilling and Well Engineering
- Marine Biology and Environmental Chemistry
- Risk and Safety Analysis
- Wave and Wind Energy Systems
- Traffic and Road Safety
- Innovative Microfluidic and Catalytic Techniques Innovation
- Underwater Vehicles and Communication Systems
- Machine Learning in Materials Science
- Time Series Analysis and Forecasting
- Coal Properties and Utilization
- Maritime Navigation and Safety
- Environmental Toxicology and Ecotoxicology
- Smart Parking Systems Research
- Civil and Geotechnical Engineering Research
- Coal and Its By-products
- Data Visualization and Analytics
Guizhou University
2022-2025
Shanghai Advanced Research Institute
2023-2024
Abu Dhabi National Oil (United Arab Emirates)
2021-2023
Lanzhou Jiaotong University
2021-2023
Xi'an University of Architecture and Technology
2023
Shaanxi Research Design Institute of Petroleum and Chemical Industry
2023
Shaanxi Yanchang Petroleum (China)
2023
Oil and Gas Center
2022
State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation
2022
Nanjing University of Science and Technology
2022
Injecting carbon dioxide (CO2) into coal seams enhances coalbed methane (CBM) recovery and promotes the CO2 geological sequestration. In this process, reservoir temperature plays a crucial role in interaction between coal. However, microstructural changes of at different saturation temperatures under subcritical (Sub CO2) conditions remain unclear. This study used scanning electron microscopy (SEM), low-temperature N2 adsorption, Fourier transform infrared spectroscopy (FTIR) to analyze...
Abstract Liquid formulations are ubiquitous yet have lengthy product development cycles owing to the complex physical interactions between ingredients making it difficult tune customer-defined property targets. Interpolative ML models can accelerate liquid design but typically trained on limited sets of and without any structural information, which limits their out-of-training predictive capacity. To address this challenge, we selected eighteen formulation covering a diverse chemical space...
An effective traffic flow prediction can serve as a foundation for control decisions on intelligent transportation. However, in view of the nonstationarity and complexity sequences, it is impossible to fully extract dynamic change laws time-series based traditional forecasting models. Traffic data are often disturbed by noise during collection. The existence may affect features sequence itself or cover real trend series, resulting decline reliability. A hybrid model variational mode...
The proper application of machine learning and genetic algorithms in the early stage library design can obtain better all-around building performance. performance library, such as indoor temperature, solar radiation, lighting, etc., must be fully considered initial stage. Aiming at optimization based on method “generative design”, this paper constructs library’s comprehensive evaluation workflow rapid prediction combined with LightGBM algorithm. A a cold region China is taken research object...
A novel method for fabric rope dyeing in supercritical carbon dioxide fluid has been successfully developed the first time commercial purposes by employing a custom‐built machine. The influence of parameters such as system pressure, temperature, and on colour strength was investigated, optimised. Moreover, level property, reproducibility, fastness were investigated evaluated under various conditions. recycling efficiency running costs proposed process comparison with conventional processes...
Traffic speed is an essential indicator for measuring traffic conditions. Real-time and accurate prediction part of building intelligent transportation systems (ITS). Currently, methods are characterized by insufficient short-term accuracy stability, nonlinear, nonstationary, strong fluctuation relatively small sample size. To better explore the characteristics road networks, a hybrid model based on wavelet transform (WT) autoregressive moving average (ARIMA) gate recurrent unit (GRU) was...
Abstract pH adjustment is crucial for many industrial products, yet this step typically performed by manual trial‐and‐error. A particularly industrially relevant challenging titration that of adjusting viscous liquid formulations using weak, polyprotic titrants (usually citric acid). Handling viscous, non‐Newtonian formulations, with such acids preferred their chelation and buffering effects make a robotic solution challenging. We present self‐driving robot integrated physics‐informed...
Based on the wave radiation and diffraction theory, this paper investigates a new type breakwater with upper arc-shaped plate by using boundary element method (BEM). By comparing other three designs of (lower plate, single horizontal double plate), has been proved more effective. The exiting force, transmission reflection coefficients are analyzed discussed. In order to reveal elimination mechanism breakwater, velocity field around is obtained. It shown that: (1) sway exciting force minimal....
Predicting rail transit passenger flow is crucial for modifying the metro schedule. To increase prediction accuracy, a model proposed that combines long short-term memory (LSTM) with single spectrum analysis (SSA). Firstly, stepwise decomposition sampling (SDS) strategy based on SSA progressive as solution to data leaking issue in traditional sequence decomposition. Then, this strategy, time series complex features decomposed into relatively trend and fluctuation component. Finally, LSTM...
In this study, we firstly build up an exit choice model to describe the pedestrians' behavior in a specific place, i.e., university canteens. The pedestrians are assumed minimize their evacuation time choosing exits by explicitly considering estimated and effects of destinations. addition, food tray return is also captured proposed route for pedestrians. Fusing into cellular automata (CA)-based pedestrian simulation model, simulate process canteen results illustrate effectiveness modeling...
Travel time prediction is a critical task in intelligent transportation system and location-based service. Existing studies build models based on the features extracted from trajectories, but few of them consider sparsity trajectory data both temporal spatial dimensions, as well structure heterogeneity. To address these issues, we propose novel Multi-scale spatial-temporal model for Time Prediction, abbreviated MTTPRE. Specifically, study area represented flexible Voronoi graph according to...
Abstract Polymer flooding has long been proposed to improve sweep efficiency in heterogeneous reservoirs where polymer enhances cross flow between layers and forces water into the low permeability layers, leading more homogeneous saturation profile. Although this approach could unlock large volumes of by-passed oil layered carbonate reservoirs, compatibility solutions with high salinity - temperature hindering injection projects such harsh conditions. The aim paper is present laboratory...
Understanding the impact mechanism of oil properties and bend geometric parameters on oil–water core annular flow in bends is great importance for design operation pipelines. To address this, through U-bends analyzed numerically, by using volume fluid technique together with continuum surface stress method. A good match observed between numerically simulated phase contours those taken from reported experiments. The influence inclination angle, inlet diameter ratio, properties, pipe materials...