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| 1 | A novel maximum power point tracking control method with variable weather parameters for photovohaic systems 显示文摘 | Shaowu Li Xianwen Gao Lina Wang | 2013 | Solar Energy2013，97，： | 1 |
| 2 | A novel maximum power point tracking control method with variable weather parameters for photovoltaic systems 显示文摘 | Shaowu Li Xianwen Gao Lina Wang | 2013 | Solar Energy2013，97，： | 1 |
| 3 | Maximum power point tracking control strategies with variable weather parameters for photovoltaic generation systems 显示文摘 | Gao Xianwen Li Shaowu Gong Rongfen | 2013 | Solar Energy2013，93，： | 1 |
| 4 | A novel maximum power point tracking control method with variable weather parameters for photovoltaic systems 显示文摘 | Li Shaowu Gao Xianwen Wang Lina | 2013 | Solar Energy2013，97，： | 1 |
| 5 | LMO4 inhibits p53-mediated proliferative inhibition of breast cancer cells through interacting p53显示文摘 | Xinliang Zhou Meixiang Sang Wei Liu Wei Gao Enhong Xing Weihua Lü Yingying Xu Xiaojie Fan Shaowu Jing Baoen Shan | 2012 | Life Sciences . 2012 (9-10)2012，，： | 1 |
| 6 | Characterization and life prediction of single-pass honing tool for fuel injection nozzle显示文摘Single-pass honing is an important machining method for finish machining of holes,which can meet the requirement for high efficiency and consistency of holes.Characterization and life prediction of single-pass honing tool are necessary to improve the machining accuracy of holes honed,especially dimension accuracy.Single-pass honing tool is a single layer abrasive tool with fixed dimension,which still remains problematic for characterization and life prediction.For fuel injection nozzles with bore diameter under 1 mm,the stiffness of the single-pass honing tool is poor.This article presents a novel analytical model that predicts life of the tool with poor stiffness.Firstly,according to the bore diameter and dimension tolerance,the single-pass honing tool is designed and manufactured.Based on the prepared single-pass honing tool,the measurement and characterization methods are established.Furthermore,the tool wear tests are carried out,and the tool contour evolution model is established to predict the tool life. | Changyong YANG Hao SU Shaowu GAO Qingfeng AI Yucan FU Wenfeng DING Jiuhua XU | 2021 | Chinese Journal of Aeronautics2021，34，4： | 1 |
| 7 | Particle reconstruction of volumetric particle image velocimetry with the strategy of machine learning显示文摘Three-dimensional particle reconstruction with limited two-dimensional projections is an under-determined inverse problem that the exact solution is often difficult to be obtained.In general,approximate solutions can be obtained by iterative optimization methods.In the current work,a practical particle reconstruction method based on a convolutional neural network(CNN)with geometry-informed features is proposed.The proposed technique can refine the particle reconstruction from a very coarse initial guess of particle distribution that is generated by any traditional algebraic reconstruction technique(ART)based methods.Compared with available ART-based algorithms,the novel technique makes significant improvements in terms of reconstruction quality,robustness to noise,and at least an order of magnitude faster in the offline stage. | Qi Gao Shaowu Pan Hongping Wang Runjie Wei Jinjun Wang | 2021 | Advances in Aerodynamics2021，3，1： | 0 |
| 8 | Correction: Particle reconstruction of volumetric particle image velocimetry with the strategy of machine learning显示文摘Following publication of the original article[1],the authors reported an error in the Funding number.The current Funding section is as below:This work was supported by the National Key R&D Program of China(No.2020YFA040070),the National Natural Science Foundation of China(grant No.11721202),the Program of State Key Laboratory of Marine Equipment(No.SKLMEA-K201910). | Qi Gao Shaowu Pan Hongping Wang Runjie Wei Jinjun Wang | 2022 | Advances in Aerodynamics2022，4，1： | 0 |
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