In order to solve the problem of limited computational resources of multi-unmanned systems airborne navigation platform,a distributed cooperative positioning method based on confidence evaluation is proposed.Firstly,t...In order to solve the problem of limited computational resources of multi-unmanned systems airborne navigation platform,a distributed cooperative positioning method based on confidence evaluation is proposed.Firstly,the impact of ranging error,priori information,spatial geometric configuration and adjacent nodes count on cooperative positioning performance are analyzed individually.Secondly,a confidence evaluation method for measurement information of adjacent nodes is designed according to the cooperative positioning principle,which comprehensively considers the coupling relationship between influencing factors.Finally,a distributed cooperative navigation filter based on inter-vehicle ranging is designed.Simulation studies show that confidence evaluation method proposed in this paper can effectively characterize the contribution of measurement information to positioning results,and positioning accuracy under the proposed method is improved by more than 15%compared with the traditional screening methods based on optimal geometric configuration and closest distance.展开更多
Objective:This study aimed to design an evaluation scale of traditional Chinese medicine(TCM)confidence and then evaluate its validity and reliability.Methods:Three parallel samples with TCM learning experience were i...Objective:This study aimed to design an evaluation scale of traditional Chinese medicine(TCM)confidence and then evaluate its validity and reliability.Methods:Three parallel samples with TCM learning experience were included in this current study.Randomly selected 500 nursing students were included factor analysis and reliability and validity analyses.After 4 weeks,200 nursing students were recruited to retest the reliability.The evaluation tool of TCM confidence included 6 dimensions and 25 entries.Results:Cronbach's a coefficient of the evaluation scale was 0.95 and that of the 6 observed aspects were higher than 0.90,and splithalf reliability was 0.81.For the retest reliability,Cronbach's a coefficient of the evaluation scale was 0.93 and that of the 6 examined aspects was all over 0.80.The index of content validity Scale Content Validity Index(S-CVI)was 0.92 and Item Content Validity Index(I-CVI)was 0.83–1.00.Conclusions:Observed results may indicate that the designed tool can be used to assess the TCM confidence level of students with TCM studied experience and also can evaluate results of TCM education during studying TCM lectures.展开更多
X-ray Diffraction analysis is crucial for understanding material structures but is hindered by complex patterns and the need for expert interpretation.Deep learning offers automation in phase identification but faces ...X-ray Diffraction analysis is crucial for understanding material structures but is hindered by complex patterns and the need for expert interpretation.Deep learning offers automation in phase identification but faces challenges such as data scarcity,overconfidence in predictions and lack of interpretability.This study addresses these by employing Template Element Replacement to generate a perovskite chemical space containing physically unstable virtual structures,enhancing model understanding of XRD-crystal structure relationships and improving classification accuracy by~5%.A Bayesian-VGGNet model was developed,achieving 84%accuracy on simulated spectra and 75%on external experimental data,while simultaneously estimating prediction uncertainty.Evaluation using Bayesian methods revealed low entropy values,indicating high model confidence.Quantifying the importance of input features to crystal symmetry,aligning significant features of seven crystal systems with physical principles.These approaches enhance the model’s robustness and reliability,making it suitable for practical applications.展开更多
基金supported in part by National Natural Science Foundation of China(Nos.62073163,62103285,62203228)National Defense Basic Research Program(No.JCKY2020605C009)+1 种基金Aeronautic Science Foundation of China(Nos.ASFC-2020Z071052001,202055052003)Foundation Strengthening Program Technology 173 Field Fund(No.2021-JCJQ-JJ-0308)。
文摘In order to solve the problem of limited computational resources of multi-unmanned systems airborne navigation platform,a distributed cooperative positioning method based on confidence evaluation is proposed.Firstly,the impact of ranging error,priori information,spatial geometric configuration and adjacent nodes count on cooperative positioning performance are analyzed individually.Secondly,a confidence evaluation method for measurement information of adjacent nodes is designed according to the cooperative positioning principle,which comprehensively considers the coupling relationship between influencing factors.Finally,a distributed cooperative navigation filter based on inter-vehicle ranging is designed.Simulation studies show that confidence evaluation method proposed in this paper can effectively characterize the contribution of measurement information to positioning results,and positioning accuracy under the proposed method is improved by more than 15%compared with the traditional screening methods based on optimal geometric configuration and closest distance.
文摘Objective:This study aimed to design an evaluation scale of traditional Chinese medicine(TCM)confidence and then evaluate its validity and reliability.Methods:Three parallel samples with TCM learning experience were included in this current study.Randomly selected 500 nursing students were included factor analysis and reliability and validity analyses.After 4 weeks,200 nursing students were recruited to retest the reliability.The evaluation tool of TCM confidence included 6 dimensions and 25 entries.Results:Cronbach's a coefficient of the evaluation scale was 0.95 and that of the 6 observed aspects were higher than 0.90,and splithalf reliability was 0.81.For the retest reliability,Cronbach's a coefficient of the evaluation scale was 0.93 and that of the 6 examined aspects was all over 0.80.The index of content validity Scale Content Validity Index(S-CVI)was 0.92 and Item Content Validity Index(I-CVI)was 0.83–1.00.Conclusions:Observed results may indicate that the designed tool can be used to assess the TCM confidence level of students with TCM studied experience and also can evaluate results of TCM education during studying TCM lectures.
基金support from the National Key Research and Development Program of China(grant nos.2021YFA1200904,2020YFA0710700)the National Natural Science Foundation of China(grant nos.12375326)+1 种基金the Innovation Program for IHEP(grant nos.E35457U210)the Postdoctoral Fellowship Program and China Postdoctoral Science Foundation(grant nos.BX20240205),and the directional institutionalized scientific research platform relying on Beijing Synchrotron Radiation Facility of Chinese Academy of Sciences.
文摘X-ray Diffraction analysis is crucial for understanding material structures but is hindered by complex patterns and the need for expert interpretation.Deep learning offers automation in phase identification but faces challenges such as data scarcity,overconfidence in predictions and lack of interpretability.This study addresses these by employing Template Element Replacement to generate a perovskite chemical space containing physically unstable virtual structures,enhancing model understanding of XRD-crystal structure relationships and improving classification accuracy by~5%.A Bayesian-VGGNet model was developed,achieving 84%accuracy on simulated spectra and 75%on external experimental data,while simultaneously estimating prediction uncertainty.Evaluation using Bayesian methods revealed low entropy values,indicating high model confidence.Quantifying the importance of input features to crystal symmetry,aligning significant features of seven crystal systems with physical principles.These approaches enhance the model’s robustness and reliability,making it suitable for practical applications.
