Zhang Ren, a master of medicine, professor, chief physician, and State Council expert for Special Allowances. He is the current vice president of Chinese Acupuncture Society, the honorary chairman of Shanghai Acupunct...Zhang Ren, a master of medicine, professor, chief physician, and State Council expert for Special Allowances. He is the current vice president of Chinese Acupuncture Society, the honorary chairman of Shanghai Acupuncture Society, a member of Shanghai Intangible Cultural Heritage Assessment Committee. He used to be the director of Shanghai Municipal Literature Museum of Traditional Chinese Medicine and the director of the Shanghai Information Institute of Traditional Chinese Medicine. He has been engaged in acupuncture clinical and literature research for more than 40 years. He has been to Europe to give lectures and treat patients in clinic for 3 times, and received a favorable evaluation. And he has independently written and edited more than 60 books on acupuncture and traditional Chinese medicine as a chief editor （including English and Japanese versions）, which were published in Beijing, Shanghai, Chongqing, Taipei and Tokyo. He has published nearly 100 papers in both English and Chinese. He has also chaired Shanghai Municipal Public Health Bureau research projects, and participated in a number of projects such as Shanghai Municipal Science and Technology Commission project, the National 973 project. He has accumulated a wealth of clinical experience on acupuncture treamlent tor multiple modem intractable diseases, especially has unique experience on the acupuncture treammnt for stubborn eye diseases.展开更多
故障检测作为航空发动机健康管理的主要内容之一,是保证航空发动机的安全性、可靠性和经济性的重要手段。针对发动机发生概率最大的气路部件故障,提出了一种长短期记忆神经网络(Long Short Term Memory,LSTM)和自编码器(Auto-Encoder,AE...故障检测作为航空发动机健康管理的主要内容之一,是保证航空发动机的安全性、可靠性和经济性的重要手段。针对发动机发生概率最大的气路部件故障,提出了一种长短期记忆神经网络(Long Short Term Memory,LSTM)和自编码器(Auto-Encoder,AE)结合的故障检测方法,利用T-MATS(The Toolbox for the Modeling and Analysis of Thermodynamic Systems)热力学仿真软件包中的航空发动机模型,进行仿真实验,仿真了单一和混合故障以及不同故障程度的数据样本,用健康数据样本训练构建故障检测模型,故障数据样本进行模型测试,根据核密度估计和箱型图结合的方法确定统计量和控制限,从而进行故障检测。实验结果表明了所提方法的可行性和有效性,具有一定的工程应用价值,与传统自编码器方法检测结果进行对比,LSTM自编码器的故障检测率提高最高达20%。展开更多
为了解南宁市武鸣区古树资源现状,探究其空间分布和影响古树分布的地理因素,结合实地调查和地理信息系统(Geographic Information System,GIS)技术,分析武鸣区古树资源和空间分布特征。结果表明,武鸣区共有古树2538株,隶属于27科46属55...为了解南宁市武鸣区古树资源现状,探究其空间分布和影响古树分布的地理因素,结合实地调查和地理信息系统(Geographic Information System,GIS)技术,分析武鸣区古树资源和空间分布特征。结果表明,武鸣区共有古树2538株,隶属于27科46属55种;优势科为无患子科(Sapindaceae)、桑科(Moraceae)、桃金娘科(Myrtaceae)、壳斗科(Fagaceae)和樟科(Lauraceae);优势属为龙眼属(Dimocarpus)、榕属(Ficus)、蒲桃属(Syzygium)和樟属(Cinnamomum);优势种为龙眼(Dimocarpus longan)、高山榕(Ficus altissima)、榕树(Ficus microcarpa)、乌墨(Syzygium cumini)和樟(Cinnamomum camphora)。三级古树最多,特级古树最少。大多数古树生长状况良好,94.84%为正常株。特级古树主要分布在武鸣区东部和西部;一级古树主要分布在武鸣区外围;二级、三级和准古树在所有乡镇均有分布。古树分布呈较强空间集聚性,有1个高密度区中心和4个次密度区中心;城厢镇古树最多,甘圩镇古树最少。耕地中分布的古树最多,其次为林地;建设用地和水域中分布的古树均较少;草地和裸地中均无古树分布。古树喜分布在阳坡、缓坡和无坡向区域。赤红壤中分布的古树最多,其次为水稻土。武鸣区古树资源丰富且极具价值;古树整体生长状况良好,需对其进行定期调查和评估及科学养护。展开更多
基金supported by Project of Shanghai Science and Technology Committee(12401904600)
文摘Zhang Ren, a master of medicine, professor, chief physician, and State Council expert for Special Allowances. He is the current vice president of Chinese Acupuncture Society, the honorary chairman of Shanghai Acupuncture Society, a member of Shanghai Intangible Cultural Heritage Assessment Committee. He used to be the director of Shanghai Municipal Literature Museum of Traditional Chinese Medicine and the director of the Shanghai Information Institute of Traditional Chinese Medicine. He has been engaged in acupuncture clinical and literature research for more than 40 years. He has been to Europe to give lectures and treat patients in clinic for 3 times, and received a favorable evaluation. And he has independently written and edited more than 60 books on acupuncture and traditional Chinese medicine as a chief editor （including English and Japanese versions）, which were published in Beijing, Shanghai, Chongqing, Taipei and Tokyo. He has published nearly 100 papers in both English and Chinese. He has also chaired Shanghai Municipal Public Health Bureau research projects, and participated in a number of projects such as Shanghai Municipal Science and Technology Commission project, the National 973 project. He has accumulated a wealth of clinical experience on acupuncture treamlent tor multiple modem intractable diseases, especially has unique experience on the acupuncture treammnt for stubborn eye diseases.
文摘故障检测作为航空发动机健康管理的主要内容之一,是保证航空发动机的安全性、可靠性和经济性的重要手段。针对发动机发生概率最大的气路部件故障,提出了一种长短期记忆神经网络(Long Short Term Memory,LSTM)和自编码器(Auto-Encoder,AE)结合的故障检测方法,利用T-MATS(The Toolbox for the Modeling and Analysis of Thermodynamic Systems)热力学仿真软件包中的航空发动机模型,进行仿真实验,仿真了单一和混合故障以及不同故障程度的数据样本,用健康数据样本训练构建故障检测模型,故障数据样本进行模型测试,根据核密度估计和箱型图结合的方法确定统计量和控制限,从而进行故障检测。实验结果表明了所提方法的可行性和有效性,具有一定的工程应用价值,与传统自编码器方法检测结果进行对比,LSTM自编码器的故障检测率提高最高达20%。
