DR-XGBoost: An XGBoost model for field-road segmentation based on dual feature extraction and recursive feature elimination

Field-road segmentation is one of the key tasks in the processing of the trajectory of agricultural machinery.To improve the accuracy of the field-road segmentation,this study proposed an XGBoost model based on dual feature extraction and recursive feature elimination called DR-XGBoost.DR-XGBoost takes only a small amount of agricultural machine trajectory features as input.Firstly,the model adopted the dual feature extraction method we designed to rapidly expand the number of features and then adequately extract local trajectory features by the time window and feature extraction operator.Secondly,the model applies the recursive feature elimination algorithm to eliminate redundant features from the perspective of the model segmentation effect and thus reduce the computational consumption of model training.Thirdly,it trains XGBoost to complete the trajectory segmentation.To evaluate the effectiveness of DR-XGBoost,we conducted a series of experiments on a real trajectory dataset of agricultural machines.The model achieves a 98.2%Macro-F1 score on the dataset,which is 10.9%higher than the previous state-of-art.The proposal of DR-XGBoost fills the knowledge gap of trajectory feature extraction for agricultural machinery and provides a reasonable and effective feature selection scheme for the field-road segmentation problem.

Brief review of hydrocarbon-reforming catalysts map for hydrogen production

Hydrogen energy,the cleanest fuel,presents extensive applications in renewable energy technologies such as fuel cells.However,the transition process from carbon-based(fossil fuel)energy to desired hydrogen energy is usually hindered by inevitable scientific,technological,and economic obstacles,which mainly involves complex hydrocarbon reforming reactions.Hence,this paper provides a systematic and comprehensive analysis focusing on the hydrocarbon reforming mechanism.Accordingly,recent related studies are summarized to clarify the intrinsic difference among the reforming mechanism.Aiming to objectively assess the activated catalyst and deactivation mechanism,the rate-determining steps of reforming process have been emphasized,summarized,and analyzed.Specifically,the effect of metals and supports on individual reaction processes is discussed followed by the metalsupport interaction.Current tendency and research map could be established to promote the technology development and expansion of hydrocarbon reforming field.This review could be considered as the guideline for academics and industry designing appropriate catalysts.