本文根据CAMS多普勒天气雷达实测参数对雷达的探测能力进行了估算。CAMS 多普勒天气雷达对降水强度的探测能力将比国内目前应用的713、714天气雷达更强,在200公里处能探测到的最小降水强度为0.08毫米/小时。它还具有较强的晴空探测能力...本文根据CAMS多普勒天气雷达实测参数对雷达的探测能力进行了估算。CAMS 多普勒天气雷达对降水强度的探测能力将比国内目前应用的713、714天气雷达更强,在200公里处能探测到的最小降水强度为0.08毫米/小时。它还具有较强的晴空探测能力,在低仰角探测时,有可能探测到50公里范围内的晴空回波,从而进行风暴前的流场研究。采用 VAD 方式可获取3公里以下晴空大气的风剖面廓线,与美国强风暴实验室(NSSL)的 NRO 多普勒天气雷达的晴空探测能力相近。由系统的相位噪声估算出测速精度为0.1米/秒左右。潜在的地物对消能力达—41db。展开更多
In order to design and manufacture spatial cams rapidly and precisely,a CAD/CAM system is introduced for the design of 3D modeling and automatic programming in NC machining. Based on Pro/ENGINEER software used widely ...In order to design and manufacture spatial cams rapidly and precisely,a CAD/CAM system is introduced for the design of 3D modeling and automatic programming in NC machining. Based on Pro/ENGINEER software used widely in CAD/CAM systems,according to the curve equation of spatial cam follower’s motion specification,the follower displacement curve is drawn quickly and accurately,then the 3D modeling of spatial cam is created using Pro/Feature module in accordance with this curve,afterwards,the quality of contour surface of spatial cam is inspected by the use of surface analysis,the result of which is fed back to the modeling design of spatial cam; after analyzing the machined theory of spatial cam,the NC machining code for it is programmed automatically according to this theory and the modeling completed in the Pro/Manufacture module. To design and manufacture spatial cams by this process can be modified circularly on the basis of the surface checking information in terms of feedback data,so the contour surfaces created have high precision,excellent kinematic characteristics and dynamic characteristics.展开更多
S Background Music therapy is a promising complementary intervention for addressing various mental health conditions.Despite evidence of the beneficial effects of music,the acoustic features that make music effective ...S Background Music therapy is a promising complementary intervention for addressing various mental health conditions.Despite evidence of the beneficial effects of music,the acoustic features that make music effective in therapeutic contexts remain elusive.Aims This study aimed to identify and validate distinctive acoustic features of healing music.Methods We constructed a healing music dataset(HMD)based on nominations from related professionals and extracted 370 acoustic features.Healing-distinctive acoustic features were identified as those that were(1)independent from genre within the HMD,(2)significantly different from music pieces in a classical music dataset(CMD)and(3)similar to pieces in a five-element music dataset(FEMD).We validated the identified features by comparing jazz pieces in the HMD with a jazz music dataset(JMD).We also examined the emotional properties of the features in a Chinese affective music system(CAMS).Results The HMD comprised 165 pieces.Among all the acoustic features,74.59%shared commonalities across genres,and 26.22%significantly differed between the HMD classical pieces and the CMD.The equivalence test showed that the HMD and FEMD did not differ significantly in 9.46%of the features.The potential healing-distinctive acoustic features were identified as the standard deviation of the roughness,mean and period entropy of the third coefficient of the mel-frequency cepstral coefficients.In a three-dimensional space defined by these features,HMD's jazz pieces could be distinguished from those of the JMD.These three features could significantly predict both subjective valence and arousal ratings in the CAMS.Conclusions The distinctive acoustic features of healing music that have been identified and validated in this study have implications for the development of artificial intelligence models for identifying therapeutic music,particularly in contexts where access to professional expertise may be limited.This study contributes to the growing body of research exploring the potential of digit展开更多
文摘本文根据CAMS多普勒天气雷达实测参数对雷达的探测能力进行了估算。CAMS 多普勒天气雷达对降水强度的探测能力将比国内目前应用的713、714天气雷达更强,在200公里处能探测到的最小降水强度为0.08毫米/小时。它还具有较强的晴空探测能力,在低仰角探测时,有可能探测到50公里范围内的晴空回波,从而进行风暴前的流场研究。采用 VAD 方式可获取3公里以下晴空大气的风剖面廓线,与美国强风暴实验室(NSSL)的 NRO 多普勒天气雷达的晴空探测能力相近。由系统的相位噪声估算出测速精度为0.1米/秒左右。潜在的地物对消能力达—41db。
文摘In order to design and manufacture spatial cams rapidly and precisely,a CAD/CAM system is introduced for the design of 3D modeling and automatic programming in NC machining. Based on Pro/ENGINEER software used widely in CAD/CAM systems,according to the curve equation of spatial cam follower’s motion specification,the follower displacement curve is drawn quickly and accurately,then the 3D modeling of spatial cam is created using Pro/Feature module in accordance with this curve,afterwards,the quality of contour surface of spatial cam is inspected by the use of surface analysis,the result of which is fed back to the modeling design of spatial cam; after analyzing the machined theory of spatial cam,the NC machining code for it is programmed automatically according to this theory and the modeling completed in the Pro/Manufacture module. To design and manufacture spatial cams by this process can be modified circularly on the basis of the surface checking information in terms of feedback data,so the contour surfaces created have high precision,excellent kinematic characteristics and dynamic characteristics.
基金supported by the National Natural Science Foundation of China(62101324)the Shanghai Sailing Program(20YF1442000)+2 种基金the Academic Leader of the Health Discipline of Shanghai Municipal Health Commission(2022XD025)the Qihang Program of Shanghai Mental Health Center(2020-QH-01)the Hospital Program of Shanghai Mental Health Center(2020-YJ01)。
文摘S Background Music therapy is a promising complementary intervention for addressing various mental health conditions.Despite evidence of the beneficial effects of music,the acoustic features that make music effective in therapeutic contexts remain elusive.Aims This study aimed to identify and validate distinctive acoustic features of healing music.Methods We constructed a healing music dataset(HMD)based on nominations from related professionals and extracted 370 acoustic features.Healing-distinctive acoustic features were identified as those that were(1)independent from genre within the HMD,(2)significantly different from music pieces in a classical music dataset(CMD)and(3)similar to pieces in a five-element music dataset(FEMD).We validated the identified features by comparing jazz pieces in the HMD with a jazz music dataset(JMD).We also examined the emotional properties of the features in a Chinese affective music system(CAMS).Results The HMD comprised 165 pieces.Among all the acoustic features,74.59%shared commonalities across genres,and 26.22%significantly differed between the HMD classical pieces and the CMD.The equivalence test showed that the HMD and FEMD did not differ significantly in 9.46%of the features.The potential healing-distinctive acoustic features were identified as the standard deviation of the roughness,mean and period entropy of the third coefficient of the mel-frequency cepstral coefficients.In a three-dimensional space defined by these features,HMD's jazz pieces could be distinguished from those of the JMD.These three features could significantly predict both subjective valence and arousal ratings in the CAMS.Conclusions The distinctive acoustic features of healing music that have been identified and validated in this study have implications for the development of artificial intelligence models for identifying therapeutic music,particularly in contexts where access to professional expertise may be limited.This study contributes to the growing body of research exploring the potential of digit
