Optical Fibre Communication Feature Analysis and Small Sample Fault Diagnosis Based on VMD-FE and Fuzzy Clustering

To solve the problems of a few optical fibre line fault samples and the inefficiency of manual communication optical fibre fault diagnosis,this paper proposes a communication optical fibre fault diagnosis model based on variational modal decomposition(VMD),fuzzy entropy(FE)and fuzzy clustering(FC).Firstly,based on the OTDR curve data collected in the field,VMD is used to extract the different modal components(IMF)of the original signal and calculate the fuzzy entropy(FE)values of different components to characterize the subtle differences between them.The fuzzy entropy of each curve is used as the feature vector,which in turn constructs the communication optical fibre feature vector matrix,and the fuzzy clustering algorithm is used to achieve fault diagnosis of faulty optical fibre.The VMD-FE combination can extract subtle differences in features,and the fuzzy clustering algorithm does not require sample training.The experimental results show that the model in this paper has high accuracy and is relevant to the maintenance of communication optical fibre when compared with existing feature extraction models and traditional machine learning models.

Research and Analysis on the Principle in Plant Cold Recycling for Foamed Bitumen and Mixture Performance

The early asphalt pavement in our country severely reduced the road performance due to various external factors during the use process.According to incomplete statistics,there are more asphalt pavements that need to be renovated and repaired every year in China,and the amount of construction waste such as asphalt concrete and other construction waste reaches 1,000.About ten thousand tons.If such a huge amount of construction waste is not used,it will inevitably cause great pollution to the environment.If it can be reused,not only will it be environmentally friendly and energy-saving,it will also save more than one billion yuan in costs.In view of the above problems,this article conducts related Research and Analysis on the Principle in Plant Cold Recycling for Foamed Bitumen and Mixture Performance to provide reference for future projects.

原位构建具有铋合金纳米片的三维导电核壳纳米网络和电子结构用于高效电催化CO_(2)还原

由于CO_(2)传质的限制,在H型电池中,具有高法拉第效率(>90%)和大电流密度(>150 mA cm^(-2))的电催化CO_(2)还原(CO_(2)RR)制备HCOOH燃料的过程非常具有挑战性.在本文中,我们报道了一种在泡沫Cu上原位构建具有三维(3D)多孔网络核壳纳米线结构的优异CO_(2)RR电催化剂.核壳结构由Cu纳米线核和Sb-Bi合金壳组成(Cu@Sb_(x)Bi_(y)NWs/Cu).制备的Cu@Sb_(x)Bi_(y)NWs/Cu具有171.3mA cm^(-2)的高电流密度以及92%的HCOOH法拉第效率,就电流密度而言优于几乎所有报道的铋基催化剂.理论研究表明,Sb的引入使Bi的电子态提高到接近费米能级,与纯Bi表面相比,^(*)OCHO中间体更易吸附在Sb-Bi界面上,从而加速CO_(2)还原.此外,Sb_(0.1)Bi_(1)与纯Bi相比具有更强的键能,这有利于催化剂在反应过程中的稳定性.Sb_(0.1)Bi_(1)合金和3D导电核壳纳米网络的形成更有利于快速电子转移,并在反应过程中暴露出更多的活性位点,从而获得更好的催化活性.这项工作为设计用于能量转换的高活性铋基催化剂提供了理论依据.

Personality Openness Predicts Driver Trust in Automated Driving

Maintaining an appropriate level of trust in automated driving(AD)is critical to safe driving.However,few studies have explored factors affecting trust in AD in general,and no study,as far as is known,has directly investigated whether driver personality influences driver trust in an AD system.The current study investigates the relation between driver personality and driver trust in AD,focusing on Level 2 AD.Participants were required to perform a period of AD in a driving simulator,during which their gaze and driving behavior were recorded,as well as their subjective trust scores after driving.In three distinct measures,a significant correlation between Openness and driver trust in the AD system is found:participants with higher Openness traits tend to have less trust in the AD system.No significant correlations between driver trust in AD and other personality traits are found.The findings suggest that driver personality has an impact on driver trust in AD.Theoretical and practical implications of this finding are discussed.