Search Results - "Mingxuan Chen"

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  1. 1

    Diurnal variations in convective storm activity over contiguous North China during the warm season based on radar mosaic climatology by Chen, Mingxuan, Wang, Yingchun, Gao, Feng, Xiao, Xian

    “…Diurnal variations in the formation and development of convective storms over contiguous North China during the warm season were studied using reflectivity…”
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    Journal Article
  2. 2

    A Deep Learning Method for Bias Correction of ECMWF 24–240 h Forecasts by Han, Lei, Chen, Mingxuan, Chen, Kangkai, Chen, Haonan, Zhang, Yanbiao, Lu, Bing, Song, Linye, Qin, Rui

    Published in Advances in atmospheric sciences (01-09-2021)
    “…Correcting the forecast bias of numerical weather prediction models is important for severe weather warnings. The refined grid forecast requires direct…”
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  3. 3

    Evaluation Mechanism of Teaching Staff’s Building in Local Vocational Colleges Based on Big Data Technology by Dai, Jingjing, Chen, Mingxuan

    Published in Applied mathematics and nonlinear sciences (01-01-2024)
    “…With the improvement of information technology, all industries have developed rapidly. However, the education industry is lagging behind in the process of…”
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  4. 4

    Enhancing Spatial Variability Representation of Radar Nowcasting with Generative Adversarial Networks by Gong, Aofan, Li, Ruidong, Pan, Baoxiang, Chen, Haonan, Ni, Guangheng, Chen, Mingxuan

    Published in Remote sensing (Basel, Switzerland) (01-07-2023)
    “…Weather radar plays an important role in accurate weather monitoring and modern weather forecasting, as it can provide timely and refined weather forecasts for…”
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  5. 5

    Intelligent Fault Diagnosis of HVCB with Feature Space Optimization-Based Random Forest by Ma, Suliang, Chen, Mingxuan, Wu, Jianwen, Wang, Yuhao, Jia, Bowen, Jiang, Yuan

    Published in Sensors (Basel, Switzerland) (16-04-2018)
    “…Mechanical faults of high-voltage circuit breakers (HVCBs) always happen over long-term operation, so extracting the fault features and identifying the fault…”
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  6. 6

    Analysis of photovoltaic array maximum power point tracking under uniform environment and partial shading condition: A review by Li, Jianlin, Wu, Yiwen, Ma, Suliang, Chen, Mingxuan, Zhang, Baoping, Jiang, Bing

    Published in Energy reports (01-11-2022)
    “…With the expansion of the scale of application of photovoltaic (PV) power generation, PV maximum power point tracking (MPPT) technology has been transformed…”
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  7. 7

    Appearance of Vacuum Arcs in Axial Magnetic Field and Butt Contacts at Intermediate Frequencies by Yuan, Jiang, Jianwen, Wu, Suliang, Ma, Mingxuan, Chen, Bowen, Jia

    Published in IEEE transactions on plasma science (01-02-2019)
    “…Intermediate-frequency power technology is widely used in aircraft power-supply systems. This paper studies the appearance and motion of vacuum plasmas in an…”
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  8. 8

    A multichannel human-swarm robot interaction system in augmented reality by Mingxuan Chen, Ping Zhang, Zebo Wu, Xiaodan Chen

    Published in Virtual Reality & Intelligent Hardware (01-12-2020)
    “…Background: A large number of robots have put forward the new requirements for humanrobot interaction. One of the problems in human-swarm robot interaction is…”
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  9. 9

    Intraday energy management strategy for wind-hydrogen coupled systems based on hybrid electrolysers by Chen Mingxuan, He Bin, Zhang Baoping, Ren Yongfeng, Pan Yu, Yun Pingping, Mi Yue

    “…Hydrogen production by wind power is a full-cycle, zero-carbon emission hydrogen production method. However, the random and intermittent nature of wind energy…”
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  10. 10

    Analysis of MPPT Failure and Development of an Augmented Nonlinear Controller for MPPT of Photovoltaic Systems under Partial Shading Conditions by Chen, Mingxuan, Ma, Suliang, Wu, Jianwen, Huang, Lian

    Published in Applied sciences (01-01-2017)
    “…The output-voltage-power curves of photovoltaic (PV) arrays exhibit complex multi-peak shapes when local shading occurs. The existing maximum power point…”
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  11. 11

    Microphysical Characteristics of Rainfall Observed by a 2DVD Disdrometer during Different Seasons in Beijing, China by Luo, Li, Guo, Jia, Chen, Haonan, Yang, Meilin, Chen, Mingxuan, Xiao, Hui, Ma, Jianli, Li, Siteng

    Published in Remote sensing (Basel, Switzerland) (01-06-2021)
    “…The seasonal variations of raindrop size distribution (DSD) and rainfall are investigated using three-year (2016–2018) observations from a two-dimensional…”
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  12. 12

    Clear-Air Turbulence (CAT) Identification with X-Band Dual Polarimetric Radar Based on Bayesian Approach by Ma, Jianli, Luo, Li, Chen, Mingxuan, Li, Siteng

    Published in Atmosphere (01-12-2021)
    “…The echo of weather radar is seriously disturbed by clear-air turbulence echo (CAT) which needs identifying and eliminating to improve the data quality of…”
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  13. 13

    The Quantile-Matching Approach to Improving Radar Quantitative Precipitation Estimation in South China by Song, Linye, Chen, Shangfeng, Li, Yun, Qi, Duo, Wu, Jiankun, Chen, Mingxuan, Cao, Weihua

    Published in Remote sensing (Basel, Switzerland) (01-12-2021)
    “…Weather radar provides regional rainfall information with a very high spatial and temporal resolution. Because the radar data suffer from errors from various…”
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  14. 14

    Distributed Control Strategy for DC Microgrids of Photovoltaic Energy Storage Systems in Off-Grid Operation by Chen, Mingxuan, Ma, Suliang, Wan, Haiyong, Wu, Jianwen, Jiang, Yuan

    Published in Energies (Basel) (01-10-2018)
    “…DC microgrid systems that integrate energy distribution, energy storage, and load units can be viewed as examples of reliable and efficient power systems…”
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  15. 15

    Machine Learning Approach to Summer Precipitation Nowcasting over the Eastern Alps by Song, Linye, Schicker, Irene, Papazek, Petrina, Kann, Alexander, Bica, Benedikt, Wang, Yong, Chen, Mingxuan

    “…This paper presents a new machine learning-based nowcasting model for hourly summer precipitation over the Eastern Alps. An artificial neural network (ANN)…”
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  16. 16

    Efficient Smoke Detection Based on YOLO v5s by Yin, Hang, Chen, Mingxuan, Fan, Wenting, Jin, Yuxuan, Hassan, Shahbaz Gul, Liu, Shuangyin

    Published in Mathematics (Basel) (01-10-2022)
    “…Smoke detection based on video surveillance is important for early fire warning. Because the smoke is often small and thin in the early stage of a fire, using…”
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  17. 17

    Evaluating the Performance of Lightning Data Assimilation from BLNET Observations in a 4DVAR-Based Weather Nowcasting Model for a High-Impact Weather over Beijing by Xiao, Xian, Qie, Xiushu, Chen, Zhixiong, Lu, Jingyu, Ji, Lei, Wang, Dongfang, Zhang, Lina, Chen, Mingxuan, Chen, Min

    Published in Remote sensing (Basel, Switzerland) (01-06-2021)
    “…The Beijing Broadband Lightning Network (BLNET) was successfully set up in North China and had yielded a considerable detection capability of total lightning…”
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  18. 18

    Augmented Nonlinear Controller for Maximum Power-Point Tracking with Artificial Neural Network in Grid-Connected Photovoltaic Systems by Ma, Suliang, Chen, Mingxuan, Wu, Jianwen, Huo, Wenlei, Huang, Lian

    Published in Energies (Basel) (01-12-2016)
    “…Photovoltaic (PV) systems have non-linear characteristics that generate maximum power at one particular operating point. Environmental factors such as…”
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  19. 19

    Elevation Influence on Rainfall and a Parameterization Algorithm in the Beijing Area by Song, Linye, Chen, Mingxuan, Gao, Feng, Cheng, Conglan, Chen, Min, Yang, Lu, Wang, Yong

    Published in Journal of Meteorological Research (01-12-2019)
    “…Using a high-density automatic weather stations (AWS) dataset of hourly rainfall observations, the present study investigates the relationship between rainfall…”
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  20. 20

    A real-time detection model for smoke in grain bins with edge devices by Yin, Hang, Chen, Mingxuan, Lin, Yinqi, Luo, Shixuan, Chen, Yalin, Yang, Song, Gao, Lijun

    Published in Heliyon (01-08-2023)
    “…The global food crisis is becoming increasingly severe, and frequent grain bins fires can also lead to significant food losses at the same time. Accordingly,…”
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