A5101593867- Combustion and Detonation Processes
- Fire dynamics and safety research
- Electric and Hybrid Vehicle Technologies
- Coal Properties and Utilization
- Combustion and flame dynamics
- Organic Electronics and Photovoltaics
- Electric Vehicles and Infrastructure
- Organic Light-Emitting Diodes Research
- Vehicle Dynamics and Control Systems
- Real-time simulation and control systems
- Thermochemical Biomass Conversion Processes
- Advanced Computational Techniques and Applications
- Algal biology and biofuel production
- Advanced Battery Technologies Research
- Fluid Dynamics and Vibration Analysis
- Image Processing and 3D Reconstruction
- Thin-Film Transistor Technologies
- Advanced Algorithms and Applications
- Traffic control and management
- Evaluation and Optimization Models
- Aerodynamics and Fluid Dynamics Research
- Privacy-Preserving Technologies in Data
- Advanced Sensor and Energy Harvesting Materials
- Advanced Sensor and Control Systems
- Advanced Numerical Analysis Techniques
Shanghai Electric (China)
2024
Beijing Information Science & Technology University
2023-2024
Xi'an University of Science and Technology
2020-2024
Chongqing Technology and Business University
2011-2023
Southwest Jiaotong University
2023
Digital China Health (China)
2023
University of Michigan
2023
Beijing Institute of Technology
2020-2022
Jilin University
2019-2022
State Key Laboratory of Automotive Simulation and Control
2020-2022
Zheng Xu, Yanxiang Zhang, Galen Andrew, Christopher Choquette, Peter Kairouz, Brendan Mcmahan, Jesse Rosenstock, Yuanbo Zhang. Proceedings of the 61st Annual Meeting Association for Computational Linguistics (Volume 5: Industry Track). 2023.
To study combustion and extinction characteristics of flames perturbed by acoustic waves, the evolution shape pool fire, mass loss rate (ma′) fuel, mechanisms under perturbations were studied. Moreover, based on parameters flames, parametric models ma′ flame developed. The research results demonstrate that shapes unperturbed change during combustion, however, when become irregular fronts disorderly. Compared with is increased perturbation. There are upper lower limits for ma′, so in...
Braking energy recovery is one of the main technologies affecting economic performance an electric vehicle. To improve economy from as much recovered braking possible on premise ensuring vehicle security goal regenerative control strategy. However, due to non-linear and multi-objective characteristics hybrid system, finding optimal strategy, considering safety, economy, comfort, remains a challenge. Considering efficient system battery aging, swarm intelligence-based predictive strategy...
Rapid development in artificial intelligence has increased the demand for portable and sustainable power sources. As one of most important self-powered sensors, piezoelectric generator (PEG) drawn more interest recently. Unfortunately, fabricating PEG via a facile, cost-effective method still remains huge challenge. Herein, with combined help melt extrusion leaching technique, based on microribbon structured polyvinylidene fluoride (PVDF) was facilely fabricated. Such an interesting...
To ensure driving safety, autonomous electric vehicles need to follow the planned path accurately, which depends on vehicle following control strategy. It is widely acknowledged that model-based strategies have excellent potential following, but their effect seriously affected by parametric uncertainty. solve this problem, an adaptive constrained scheme considering influence of uncertainty proposed for vehicles. Firstly, feedback law and its update are deal with variation tire cornering...
Pre-training on public data is an effective method to improve the performance for federated learning (FL) with differential privacy (DP). This paper investigates how large language models (LLMs) trained can quality of pre-training on-device DP and FL. We carefully design LLM prompts filter transform existing data, generate new resemble real user distribution. The model pre-trained our synthetic dataset achieves relative improvement 19.0% 22.8% in next word prediction accuracy compared...
The steady state motion visual evoked potential (SSMVEP)-based brain computer interface (BCI), which incorporates the perception capabilities of human system to alleviate negative effects caused by strong stimulation from steady-state VEP, has attracted a great deal attention. In this paper, we design SSMVEP-based experiment Newton's ring paradigm. Then, use canonical correlation analysis and Support Vector Machines classify SSMVEP signals for electroencephalography (EEG) signal detection....
Supercritical boilers have become a major development trend in coal-fired power plants, and the air distribution strategy is key factor design operation of making it fully combustible. In this paper, mathematical physical models 350 MW supercritical boiler established, optimal mode at different load determined based on furnace outlet temperature, NOx concentration, O2 content. The control strategies were derived corresponding procedures established. 160 280 selected for positive pagoda 180...