Chao Qin

ORCID: 0000-0003-0393-5330
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About
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Research Areas
  • Wind and Air Flow Studies
  • Infection Control and Ventilation
  • Building Energy and Comfort Optimization
  • Combustion and flame dynamics
  • Advanced Combustion Engine Technologies
  • Particle Dynamics in Fluid Flows
  • Civil and Geotechnical Engineering Research
  • Smart Grid Security and Resilience
  • Fire dynamics and safety research
  • Power Systems and Technologies
  • Combustion and Detonation Processes
  • Infrastructure Resilience and Vulnerability Analysis
  • Evacuation and Crowd Dynamics
  • Acoustic Wave Phenomena Research
  • Power System Reliability and Maintenance
  • Human Motion and Animation
  • Infrared Target Detection Methodologies
  • Human Pose and Action Recognition
  • Ultrasonics and Acoustic Wave Propagation
  • Speech and Audio Processing
  • Smart Grid and Power Systems
  • Optimal Power Flow Distribution
  • Power Systems Fault Detection
  • Heat transfer and supercritical fluids
  • Guidance and Control Systems

Changsha University of Science and Technology
2009-2024

City University of Hong Kong
2020-2024

Hong Kong Baptist University
2024

Changchun Institute of Optics, Fine Mechanics and Physics
2024

Chinese Academy of Sciences
2024

Tianjin University
2012-2023

Beijing University of Technology
2021-2023

Hohai University
2023

Zhejiang University
2020-2022

Sichuan University
2022

This paper simulates and compares the impacts of two ventilation methods on flow field temperature distribution in a car cabin, presenting an impinging jet (IJV) system for automobile cabins. The simulation's accuracy is verified by experiment results prior simulation studies. Fiala thermoregulation model equivalent homogeneous (EHT) are used to assess driver's thermal comfort. show that, compared traditional dashboard-dominated ventilation, IJV significantly alters cabin increasing velocity...

10.1063/5.0271498 article EN Physics of Fluids 2025-05-01

In industrial application, an engine group with several engines running in parallel produces emissions, and because of its variable operation conditions the number being run, it great pollution. This study proposes a distributed control system (DCS) method to deal NOx emissions from diesel group. DCS contains test benches parallel, each is connected independent unit selective catalytic reduction (SCR) device, central processing (CPU) distributes controlling quantities unit. A dimensionless...

10.1021/acs.est.0c08767 article EN Environmental Science & Technology 2021-03-09

Infrared small-target detection has important applications in many fields due to its high penetration capability and distance. This study introduces a detector called "YOLO-SDLUWD" which is based on the YOLOv7 network, for small target complex infrared backgrounds. The "SDLUWD" refers combination of spatial depth layer followed convolutional structure (SD-Conv) linear up-sampling fusion path aggregation feature pyramid network (LU-PAFPN) training strategy normalized Gaussian Wasserstein...

10.1016/j.dcan.2023.11.001 article EN cc-by-nc-nd Digital Communications and Networks 2023-12-01

针对遥感卫星地面微振动实验的复杂要求,设计了一种同时具备微振动模拟与主被动隔振功能的一体化微振动实验平台,并对该平台的主、被动隔振性能以及微振动模拟效果分别进行了仿真分析和实验测试。其中,被动隔振由气浮支撑实现,主动隔振采用主动阻尼方法抑制共振峰,微振动模拟采用基于线性系统频响函数的控制策略。实验结果表明,平台前六阶的模态频率分布均小于10 Hz,被动隔振系统能大幅抑制10~200 Hz频段内的地面微振动;主动隔振能够实现14 dB的隔振系统共振峰衰减效果。微振动模拟功能能够有效产生接近星上的单频和多频真实扰动线谱,在特定频谱的扰动模拟实验中,幅值最大误差为5.9%,在误差允许范围内。该多功能一体化实验平台的各项功能均能满足地面模拟实验需求。

10.37188/ope.20243205.0694 article ZH-CN Optics and Precision Engineering 2024-01-01

High-pressure gas direct injection (DI) technology benefits engines with high efficiency and clean emissions, the jet process causes crucial effects especially inside an mm-size space. This study presents investigation on high-pressure methane characteristics from a single-hole injector by analysing performance parameters including impact force, impulse, mass flow rate. The results show that exhibited two-zone behaviour along direction in spatial dimension induced high-speed nozzle: zone 1...

10.1016/j.heliyon.2023.e13645 article EN cc-by-nc-nd Heliyon 2023-02-10

10.1007/s40430-022-03828-w article EN Journal of the Brazilian Society of Mechanical Sciences and Engineering 2022-12-16

Extensive installation of measuring devices in power systems promotes the application artificial intelligence (AI) load identification. However, convergence problems training and relatively low accuracy hinder AI method from further development. In this study, a neural network ensemble considering parameter sensitivity is proposed to solve these problems. method, with distributed generation considered, parameters model are classified according response uniqueness, identified separately by...

10.1016/j.egyr.2022.08.056 article EN cc-by-nc-nd Energy Reports 2022-08-18
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