The target's threat prediction is an essential procedure for the situation analysis in an aerial defense system.However,the traditional threat prediction methods mostly ignore the effect of commander's emotion...The target's threat prediction is an essential procedure for the situation analysis in an aerial defense system.However,the traditional threat prediction methods mostly ignore the effect of commander's emotion.They only predict a target's present threat from the target's features itself,which leads to their poor ability in a complex situation.To aerial targets,this paper proposes a method for its potential threat prediction considering commander emotion(PTP-CE)that uses the Bi-directional LSTM(BiLSTM)network and the backpropagation neural network(BP)optimized by the sparrow search algorithm(SSA).Furthermore,we use the BiLSTM to predict the target's future state from real-time series data,and then adopt the SSA-BP to combine the target's state with the commander's emotion to establish a threat prediction model.Therefore,the target's potential threat level can be obtained by this threat prediction model from the predicted future state and the recognized emotion.The experimental results show that the PTP-CE is efficient for aerial target's state prediction and threat prediction,regardless of commander's emotional effect.展开更多
In recent years,with the adjustment of agricultural structure,the change of planting system,the continuous cropping phenomenon and the abnormal climate and environment have provided favorable conditions for the spread...In recent years,with the adjustment of agricultural structure,the change of planting system,the continuous cropping phenomenon and the abnormal climate and environment have provided favorable conditions for the spread,reproduction and survival of sugarcane pests.The pest species that are harmful to sugarcane have increased,which pose potential threats to sugar cane production.Therefore,the occurrence dynamics and control of 6 sugarcane pests with potential threats were studied in order to prospectively grasp the dynamics of sugarcane pests,scientifically and effectively prevent and control sugarcane pests,and ensure the safety of sugarcane production.展开更多
Several recent studies in Virologica Sinica and other journals have highlighted the enormous international challenge of emerging arboviral diseases,such as Zika virus disease,dengue,and chikungunya(Islam et al.,2015;M...Several recent studies in Virologica Sinica and other journals have highlighted the enormous international challenge of emerging arboviral diseases,such as Zika virus disease,dengue,and chikungunya(Islam et al.,2015;Maurice et al.,2015;Dai et al.,2016;Deng et al.,2016;Song et al.,2016;Wang et al.,2016;Xu et al.,2016;Zhang et al.,2016;Zhou展开更多
基金the National Natural Science Foundation of China(No.61873196 and No.61501336)the Natural Science Foundation of Hubei Province(2019CFB778)+1 种基金the National Defense Pre-research Foundation of Wuhan University of Science and Technology(GF202007)the Postgraduate Innovation and Entrepreneurship Foundation of Wuhan University of Science and Technology(JCX2020095).
文摘The target's threat prediction is an essential procedure for the situation analysis in an aerial defense system.However,the traditional threat prediction methods mostly ignore the effect of commander's emotion.They only predict a target's present threat from the target's features itself,which leads to their poor ability in a complex situation.To aerial targets,this paper proposes a method for its potential threat prediction considering commander emotion(PTP-CE)that uses the Bi-directional LSTM(BiLSTM)network and the backpropagation neural network(BP)optimized by the sparrow search algorithm(SSA).Furthermore,we use the BiLSTM to predict the target's future state from real-time series data,and then adopt the SSA-BP to combine the target's state with the commander's emotion to establish a threat prediction model.Therefore,the target's potential threat level can be obtained by this threat prediction model from the predicted future state and the recognized emotion.The experimental results show that the PTP-CE is efficient for aerial target's state prediction and threat prediction,regardless of commander's emotional effect.
基金Supported by the Sugar Crop Research System(CARS-170303)the Special Fund for the Post Scientists Engaged in Plant Protection and Disease Research of the Sugar Crop Research System of Yunnan,the Agriculture Research System of Yunnan(YNGZTX-4-92)
文摘In recent years,with the adjustment of agricultural structure,the change of planting system,the continuous cropping phenomenon and the abnormal climate and environment have provided favorable conditions for the spread,reproduction and survival of sugarcane pests.The pest species that are harmful to sugarcane have increased,which pose potential threats to sugar cane production.Therefore,the occurrence dynamics and control of 6 sugarcane pests with potential threats were studied in order to prospectively grasp the dynamics of sugarcane pests,scientifically and effectively prevent and control sugarcane pests,and ensure the safety of sugarcane production.
基金supported in part by the National Natural Science Foundation of China(Grant No.31402224 and 31272564)the Public Welfare Special Funds for Agriculture Scientific Research(Grant No.201203039)the Modern Agro-Industry Technology Research System(CARS-36)
文摘Several recent studies in Virologica Sinica and other journals have highlighted the enormous international challenge of emerging arboviral diseases,such as Zika virus disease,dengue,and chikungunya(Islam et al.,2015;Maurice et al.,2015;Dai et al.,2016;Deng et al.,2016;Song et al.,2016;Wang et al.,2016;Xu et al.,2016;Zhang et al.,2016;Zhou
