A5100633468- Catalytic Processes in Materials Science
- Parallel Computing and Optimization Techniques
- Catalysis and Oxidation Reactions
- Epigenetics and DNA Methylation
- Lattice Boltzmann Simulation Studies
- Advanced Numerical Methods in Computational Mathematics
- RNA modifications and cancer
- Distributed and Parallel Computing Systems
- Industrial Gas Emission Control
- Rheology and Fluid Dynamics Studies
- Fluid Dynamics Simulations and Interactions
- Computational Fluid Dynamics and Aerodynamics
- Cloud Computing and Resource Management
- Cancer-related gene regulation
- Fluid Dynamics and Mixing
- Imbalanced Data Classification Techniques
- Heat Transfer and Boiling Studies
- Gas Sensing Nanomaterials and Sensors
- Autonomous Vehicle Technology and Safety
- Calcium Carbonate Crystallization and Inhibition
- Nanopore and Nanochannel Transport Studies
- Advanced Data Storage Technologies
- Distributed systems and fault tolerance
- Robotics and Sensor-Based Localization
- Computer Graphics and Visualization Techniques
South China University of Technology
2024
Shanghai Public Health Clinical Center
2024
Fudan University
2023
Hebei Normal University of Science and Technology
2023
PLA Academy of Military Science
2023
Beijing Academy of Artificial Intelligence
2020-2021
National University of Defense Technology
2010-2020
Changchun University of Technology
2020
Yanbian University
2015-2017
Beijing Institute of Petrochemical Technology
2006-2014
Predicting the future motion of road participants is crucial for autonomous driving but extremely challenging due to staggering uncertainty. Recently, most forecasting methods resort goal-based strategy, i.e., predicting endpoints trajectories as conditions regress entire trajectories, so that search space solution can be reduced. However, accurate goal coordinates are hard predict and evaluate. In addition, point representation destination limits utilization a rich context, leading...
Current methodologies for document-level event extraction, particularly within Chinese textual data, face significant challenges, such as the extraction of isolated events and imprecise delineation interrelationships. The advent large language models, fortunately, offers a promising frontier enhancing capabilities. In light this, this study proposes an innovative framework multiple that effectively mitigates these limitations. proposed employs Entity-based Directed Acyclic Graph(EDAG) to...
As the system scales up continuously, problem of power consumption for high performance computing (HPC) becomes more severe. Heterogeneous integrating two or kinds processors, could be better adapted to heterogeneity in applications and provide much higher energy efficiency theory. Many studies have shown heterogeneous is preferable on homogeneous a multi-programmed environment. However, how exploit (Flops/Watt) single application even phase an has not been well studied. This paper proposes...
Experimental data of densities and viscosities 1-propyl-2,3-dimethylimidazolium tetrafluoroborate ([PDMIM][BF4]) + H2O binary mixtures were measured over the entire mole fraction range from (298.15 to 343.15) K at atmospheric pressure. Excess molar volumes viscosity deviations as a function average have been obtained fitted Redlich−Kister equation. Estimated coefficients equation standard error calculated experimental also presented.
Different configurations of coupling strategies influence greatly the accuracy and convergence simulation results in hybrid atomistic-continuum method. This study aims to quantitatively investigate this effect offer guidance on how choose proper configuration We first propose a molecular dynamics- (MD-) continuum solver LAMMPS OpenFOAM that exchanges state variables between atomistic region evaluate different using sudden start Couette flow, aiming find preferable delivers better efficiency....
Visual–inertial odometry (VIO) is widely studied and used in autonomous robots. This article proposes a novel tightly coupled monocular VIO system based on point-line constraints (PLC-VIO). In the front end, PLC-VIO presents line segment extraction merging algorithm EDLines method achieves real-time feature tracking geometric between points lines. back reconstructs new 3-D landmarks of lines through optimizes states by minimizing cost function that combines preintegrated inertial measurement...
Abstract In this paper the effects of surface energy and roughness on deposition calcium sulphate during convective subcooled flow boiling heat transfer to aqueous CaSO 4 solutions are studied. The surfaces several test heaters have been treated by Ion Beam Implantation, Unbalanced Magnetron Sputtering, Mixed Sputtering Plasma Arc Deposition reduce energy. One heater was electropolished one etched an electrochemical method increase roughness. Fouling runs with these heaters, untreated as...
In this paper we propose a multi-scale two-fluid model that couples coarse-grained microscopic method to the framework for studying multi-phase fluids under shear flow.
Wireless communications and networking are playing an important role in coordination cooperation of multi-robot systems (MRS). However, it is challenging to keep a reliable stable wireless connection practical applications. Especially, robots acting electromagnetic adversarial (EA) environments may encounter more serious situations including scarce spectrum, active interference, competition, etc. In this survey, we firstly analyze the challenges faced by MRS EA environments, provide...
The Proportional-Integral-Derivative (PID) controller, a fundamental element in industrial control systems, plays pivotal role regulating an extensive array of controlled objects. Accurate and rapid adaptive tuning PID controllers holds significant practical value fields such as mechatronics, robotics, automatic control. three parameters the controller exert substantial influence on performance, rendering these area interest within related research fields. Numerous techniques are widely...
The use of pulse voltage can greatly improve the precision electrochemical microfabrication, and narrower width applied signal, higher machining precision. However, commonly used chopper circuit topology power supplies is limited by maximum switching frequency field-effect transistor. To address this problem, paper proposes a nanosecond micromachining supply based on differential circuit. uses STM32F103C8T6 microcontroller as control core to output high-performance rectangular waves through...
The method of Brownian configuration fields (BCF) is a promising multi-scale approach for the simulationof viscoelastic fluids, however, it computationally expensive method, which restricts its application in complex scenarios. Therefore, great importance to optimize parallel implementation order improve computational efficiency. In this paper we propose hybrid decomposition algorithm named: MCDPar, whichenables simulation problem bedecomposed simultaneously over mesh cells andthe fields....
Free surface flows arise in a variety of engineering applications. To predict the dynamic characteristics such problems, specific numerical methods are required to accurately capture shape free surface. This paper proposed new method which combined Arbitrary Lagrangian-Eulerian (ALE) technique with Finite Volume Method (FVM) simulate time-dependent viscoelastic flows. Based on an open source CFD toolbox called OpenFOAM, we designed ALE-FVM simulation platform. In meantime, die-swell flow had...
OpenFOAM is a widely used opensource CFD application. Based on mesh partitioned, applications can run in parallel to achieve better performance OpenFOAM. When generated from the liquid field large, of partitioning algorithms will heavily affect execution efficiency whole In this paper, we investigate four implemented OpenFOAM-Simple, Hierarchical, Scotch and Metis analyze their performance. Performance evaluation includes time, communication overhead, quality load balancing application's...
Intelligent unmanned aerial vehicles (UAVs) have been applied for civil and military uses. Relative localization (RL) is crucial multi-UAVs to accomplish complex tasks successfully safely. In global positioning system (GPS) denied environments, where accurate or meaningful location information hard obtain, persistent excitation based RL a promising approach achieve without any needs of external infrastructures. However, many cases, existing method suffers precision loss, error accumulation...
Abstract High dimensional imbalanced missing data classification is a challenging and complex problem that traditional algorithms struggle to solve effectively. To address this issue, novel method proposed, named the hybrid approach based on particle swarm optimization (HCPSO). HCPSO integrates ideas of feature selection, resampling imputation, breaks particles down into three parts. These parts represent values, probabilities resampling, imputation approaches, respectively. Moreover,...