With the frequent occurrence of agricultural product safety incidents in recent years, the agricultural products' quality safety has become more and more concerned by the people. The relevant subjects are the dire...With the frequent occurrence of agricultural product safety incidents in recent years, the agricultural products' quality safety has become more and more concerned by the people. The relevant subjects are the direct relationship with the quality safety of agricultural products, and play a key role in ensuring the quality safety of agricultural products. This paper analyzes the behavior performance of production subject, circulation subject, consumption subject, supervision subject on agricultural products' quality safety, and puts forward the following countermeasures to improve the quality safety of agricultural products according to their behavior performance: to regulate the production of agricultural products, to strengthen the management and control agricultural inputs, to improve the safety supervision system of agricultural products, to accelerate the development of new circulation subject, to actively cultivate and develop new types agricultural business, to accelerate the process of agricultural scale management, to establish the multiple supervision subject, and to make up the regulatory loopholes.展开更多
As a new type of brain-computer interface(BCI),the rapid serial visual presentation(RSVP)paradigm has attracted significant attention.The mechanism of RSVP is detecting the P300 component corresponding to the target i...As a new type of brain-computer interface(BCI),the rapid serial visual presentation(RSVP)paradigm has attracted significant attention.The mechanism of RSVP is detecting the P300 component corresponding to the target image to realize fast and correct recognition.This paper proposed an improved EEGNet model to achieve good performance in offline and online data.Specifically,the data were filtered by xDAWN to enhance the signal-to-noise ratio of the electroencephalogram(EEG)signals.The focal loss function was used instead of the cross-entropy loss function to solve the classification problems of unbalanced samples.Additionally,the subject-specific data were fed to the improved EEGNet model to obtain a subject-specific model.We applied the proposed model at the BCI Controlled Robot Contest in World Robot Contest 2021 and won the second place.The average recall rate of the four participants reached 51.56%in triple classification.In the offline data benchmark dataset(64 subjects-RSVP tasks),the average recall rates of groups A and B reached 76.07%and 78.11%,respectively.We provided an alternative method to identify targets based on the RSVP paradigm.展开更多
基金supported by the following programs:Key Project of National Social Science Fund of China (Grant No. 15AZD062)the National Natural Foundation of China (Grant No. 71673302)Zhongnan University of Economics and Law Graduate Education Innovation Program Fund (Grant No. 2016Y1054)
文摘With the frequent occurrence of agricultural product safety incidents in recent years, the agricultural products' quality safety has become more and more concerned by the people. The relevant subjects are the direct relationship with the quality safety of agricultural products, and play a key role in ensuring the quality safety of agricultural products. This paper analyzes the behavior performance of production subject, circulation subject, consumption subject, supervision subject on agricultural products' quality safety, and puts forward the following countermeasures to improve the quality safety of agricultural products according to their behavior performance: to regulate the production of agricultural products, to strengthen the management and control agricultural inputs, to improve the safety supervision system of agricultural products, to accelerate the development of new circulation subject, to actively cultivate and develop new types agricultural business, to accelerate the process of agricultural scale management, to establish the multiple supervision subject, and to make up the regulatory loopholes.
基金This work is granted by the Special Projects in Key Fields Supported by the Technology Development Project of Guangdong Province(Grant No.2020ZDZX3018)the Special Fund for Science and Technology of Guangdong Province(Grant No.2020182)+2 种基金the Wuyi University and Hong Kong&Macao Joint Research Project(Grant No.2019WGALH16)the Guangdong Basic and Applied Basic Research Foundation(Grant No.2020A1515111154)the Characteristic Innovation Projects of Ordinary Universities in Guangdong Province(Grant No.2021KTSCX136).
文摘As a new type of brain-computer interface(BCI),the rapid serial visual presentation(RSVP)paradigm has attracted significant attention.The mechanism of RSVP is detecting the P300 component corresponding to the target image to realize fast and correct recognition.This paper proposed an improved EEGNet model to achieve good performance in offline and online data.Specifically,the data were filtered by xDAWN to enhance the signal-to-noise ratio of the electroencephalogram(EEG)signals.The focal loss function was used instead of the cross-entropy loss function to solve the classification problems of unbalanced samples.Additionally,the subject-specific data were fed to the improved EEGNet model to obtain a subject-specific model.We applied the proposed model at the BCI Controlled Robot Contest in World Robot Contest 2021 and won the second place.The average recall rate of the four participants reached 51.56%in triple classification.In the offline data benchmark dataset(64 subjects-RSVP tasks),the average recall rates of groups A and B reached 76.07%and 78.11%,respectively.We provided an alternative method to identify targets based on the RSVP paradigm.
