Signal processing in phase space based on nonlinear dynamics theory is a new method for underwater acoustic signal processing. One key problem when analyzing actual acoustic signal in phase space is how to reduce the ...Signal processing in phase space based on nonlinear dynamics theory is a new method for underwater acoustic signal processing. One key problem when analyzing actual acoustic signal in phase space is how to reduce the noise and lower the embedding dimen- sion. In this paper, local-geometric-projection method is applied to obtain fow dimensional element from various target radiating noise and the derived phase portraits show obviously low dimensional attractors. Furthermore, attractor dimension and cross prediction error are used for classification. It concludes that combining these features representing the geometric and dynamical properties respectively shows effects in target classification.展开更多
Unmanned aerial vehicles(UAVs)are a new frontier in specialized plant protection equipment,which will increasingly be utilized in modern sustainable agricultural applications.The use of UAVs retrofitted with new struc...Unmanned aerial vehicles(UAVs)are a new frontier in specialized plant protection equipment,which will increasingly be utilized in modern sustainable agricultural applications.The use of UAVs retrofitted with new structures for spraying allows precision pesticide applications on fruit canopies,which have positive effects on pesticide reduction,along with fruit quality and production improvement.In this work,a precision toward-target device(BUAV)was established through profiling of fruit branch modeling,along with a quality analysis of the coverage in a pear orchard compared to a conventional multi-rotor UAV(CUAV).Coverage under different canopy sections and on both sides of leaves was evaluated using Polyvinyl Chloride card samplers.The results indicate that coverage of the BUAV was 0.98%and 1.41%on the abaxial of the lower leaves interior of the canopy,which was 2.38 and 3.14 times higher than that of the CUAV.The BUAV tended to increase coverage in the course-parallel direction,while both the course-parallel and vertical directions increased the deposition coverage on the abaxial side of the interior canopy leaves by 1.8 times and 2.1 times compared to the CUAV,respectively.Simultaneously,the BUAV increased the proportion of droplets deposited on the canopy and reduced ground loss.The BUAV can improve the distribution of the wind field within the canopy effectively and improve the droplet deposition on the reverse side of the interior bore blade.展开更多
Machine learning has rapidly advanced the design and discovery of new materials with targeted applications in various systems.First-principles calculations and other computer experiments have been integrated into mate...Machine learning has rapidly advanced the design and discovery of new materials with targeted applications in various systems.First-principles calculations and other computer experiments have been integrated into material design pipelines to address the lack of experimental data and the limitations of interpolative machine learning predictors.However,the enormous computational costs and technical challenges of automatingcomputer experiments for polymeric materials have limited the availability of open-source automated polymer design systems that integrate molecular simulations and machine learning.We developed SPACIER,an open-source software program that incorporates RadonPy,a Python library for fully automated polymer physical property calculations based on allatom classical molecular dynamics,into a Bayesian optimization-based polymer design system to overcome these challenges.As a proof-of-concept study,we synthesized optical polymers that surpass the Pareto boundary formed by the tradeoff between the refractive index and the Abbe number.展开更多
文摘Signal processing in phase space based on nonlinear dynamics theory is a new method for underwater acoustic signal processing. One key problem when analyzing actual acoustic signal in phase space is how to reduce the noise and lower the embedding dimen- sion. In this paper, local-geometric-projection method is applied to obtain fow dimensional element from various target radiating noise and the derived phase portraits show obviously low dimensional attractors. Furthermore, attractor dimension and cross prediction error are used for classification. It concludes that combining these features representing the geometric and dynamical properties respectively shows effects in target classification.
基金This work was financially supported by the National Key Research and Development Program of China(Grant No.2020YFD1000202)Deutsche Forschungsgemeinschaft(DFG,German Research Foundation)-328017493/GRK 2366(Sino-German International Research Training Group AMAIZE-P)+1 种基金the National Modern Agricultural Industrial Technology System of China(Grant No.CARS-28-20)The authors also express their heartfelt gratitude to Wang Zhichong,Li Tian,Han Leng,Wang Changling,Huang Zhan,Xu Shaoqing,and the juniors of Shanxi Agricultural University.
文摘Unmanned aerial vehicles(UAVs)are a new frontier in specialized plant protection equipment,which will increasingly be utilized in modern sustainable agricultural applications.The use of UAVs retrofitted with new structures for spraying allows precision pesticide applications on fruit canopies,which have positive effects on pesticide reduction,along with fruit quality and production improvement.In this work,a precision toward-target device(BUAV)was established through profiling of fruit branch modeling,along with a quality analysis of the coverage in a pear orchard compared to a conventional multi-rotor UAV(CUAV).Coverage under different canopy sections and on both sides of leaves was evaluated using Polyvinyl Chloride card samplers.The results indicate that coverage of the BUAV was 0.98%and 1.41%on the abaxial of the lower leaves interior of the canopy,which was 2.38 and 3.14 times higher than that of the CUAV.The BUAV tended to increase coverage in the course-parallel direction,while both the course-parallel and vertical directions increased the deposition coverage on the abaxial side of the interior canopy leaves by 1.8 times and 2.1 times compared to the CUAV,respectively.Simultaneously,the BUAV increased the proportion of droplets deposited on the canopy and reduced ground loss.The BUAV can improve the distribution of the wind field within the canopy effectively and improve the droplet deposition on the reverse side of the interior bore blade.
基金support from MEXT as“Program for Promoting Researches on the Supercomputer Fugaku”(Project ID:hp210264)JST CREST(Grant Numbers JPMJCR19I3,JPMJCR22O3,JPMJCR2332)+4 种基金MEXT/JSPS KAKENHI Grant-in-Aid for Scientific Research on Innovative Areas(19H05820)Grant-in-Aid for Scientific Research(A)(19H01132)Grant-in-Aid for Scientific Research(C)(22K11949)Computational resources were provided by Fugaku at the RIKEN Center for Computational Science,Kobe,Japan(hp210264)the supercomputer at the Research Center for Computational Science,Okazaki,Japan(project:23-IMS-C113,24-IMS-C107).
文摘Machine learning has rapidly advanced the design and discovery of new materials with targeted applications in various systems.First-principles calculations and other computer experiments have been integrated into material design pipelines to address the lack of experimental data and the limitations of interpolative machine learning predictors.However,the enormous computational costs and technical challenges of automatingcomputer experiments for polymeric materials have limited the availability of open-source automated polymer design systems that integrate molecular simulations and machine learning.We developed SPACIER,an open-source software program that incorporates RadonPy,a Python library for fully automated polymer physical property calculations based on allatom classical molecular dynamics,into a Bayesian optimization-based polymer design system to overcome these challenges.As a proof-of-concept study,we synthesized optical polymers that surpass the Pareto boundary formed by the tradeoff between the refractive index and the Abbe number.
