The battlefield environment is changing rapidly,and fast and accurate identification of the tactical intention of enemy targets is an important condition for gaining a decision-making advantage.The current Intention R...The battlefield environment is changing rapidly,and fast and accurate identification of the tactical intention of enemy targets is an important condition for gaining a decision-making advantage.The current Intention Recognition(IR)method for air targets has shortcomings in temporality,interpretability and back-and-forth dependency of intentions.To address these problems,this paper designs a novel air target intention recognition method named STABC-IR,which is based on Bidirectional Gated Recurrent Unit(Bi GRU)and Conditional Random Field(CRF)with Space-Time Attention mechanism(STA).First,the problem of intention recognition of air targets is described and analyzed in detail.Then,a temporal network based on Bi GRU is constructed to achieve the temporal requirement.Subsequently,STA is proposed to focus on the key parts of the features and timing information to meet certain interpretability requirements while strengthening the timing requirements.Finally,an intention transformation network based on CRF is proposed to solve the back-and-forth dependency and transformation problem by jointly modeling the tactical intention of the target at each moment.The experimental results show that the recognition accuracy of the jointly trained STABC-IR model can reach 95.7%,which is higher than other latest intention recognition methods.STABC-IR solves the problem of intention transformation for the first time and considers both temporality and interpretability,which is important for improving the tactical intention recognition capability and has reference value for the construction of command and control auxiliary decision-making system.展开更多
国内外研究者通常认为,英语动词不定式中的to只是一个标记,只有语法功能,并无词汇意义。这种观点没有弄清to在英语非限定动词系统中的意义,也没有廓清英语介词to与其之间的认知联系。英语介词to的原型意义为动体对界标的空间趋向性,这...国内外研究者通常认为,英语动词不定式中的to只是一个标记,只有语法功能,并无词汇意义。这种观点没有弄清to在英语非限定动词系统中的意义,也没有廓清英语介词to与其之间的认知联系。英语介词to的原型意义为动体对界标的空间趋向性,这种空间趋向性通过隐喻投射表示动体时间对界标时间的趋向性,表示将来时间。通过系统分析英语动词不定式中to的用法、对比英语非限定动词形式to+V、V-ing和V-ed在英语语言中的系统作用可以发现,英语动词不定式中的to既有表示"相对将来时间"的意义,也有无意义的情况。由此可以得出英语to的意义的认知扩展路径:动体对界标的空间趋向性→动体时间对界标时间的趋向性→相对的将来时间→无意义/0,该路径是Hopper&Traugott的"语法化斜坡(cline of grammaticality)"1在英语语言中的一个具体体现。展开更多
In this paper,a space-time correlation based fast regional spectrum sensing(RSS)scheme is proposed to reduce the time and energy consumption of traditional spatial spectrum sensing. The target region is divided into s...In this paper,a space-time correlation based fast regional spectrum sensing(RSS)scheme is proposed to reduce the time and energy consumption of traditional spatial spectrum sensing. The target region is divided into small meshes,and all meshes are clustered into highly related groups using the spatial correlation among them. In each group,some representative meshes are selected as detecting meshes(DMs)using a multi-center mesh(MCM)clustering algorithm,while other meshes(EMs)are estimated according to their correlations with DMs and the Markov modeled dependence on history by MAP principle. Thus,detecting fewer meshes saves the sensing consumption. Since two independent estimation processes may provide contradictory results,minimum entropy principle is adopted to merge the results. Tested with data acquired by radio environment mapping measurement conducted in the downtown Beijing,our scheme is capable to reduce the consumption of traditional sensing method with acceptable sensing performance.展开更多
基金supported by the National Natural Science Foundation of China(Nos.62106283 and 72001214)。
文摘The battlefield environment is changing rapidly,and fast and accurate identification of the tactical intention of enemy targets is an important condition for gaining a decision-making advantage.The current Intention Recognition(IR)method for air targets has shortcomings in temporality,interpretability and back-and-forth dependency of intentions.To address these problems,this paper designs a novel air target intention recognition method named STABC-IR,which is based on Bidirectional Gated Recurrent Unit(Bi GRU)and Conditional Random Field(CRF)with Space-Time Attention mechanism(STA).First,the problem of intention recognition of air targets is described and analyzed in detail.Then,a temporal network based on Bi GRU is constructed to achieve the temporal requirement.Subsequently,STA is proposed to focus on the key parts of the features and timing information to meet certain interpretability requirements while strengthening the timing requirements.Finally,an intention transformation network based on CRF is proposed to solve the back-and-forth dependency and transformation problem by jointly modeling the tactical intention of the target at each moment.The experimental results show that the recognition accuracy of the jointly trained STABC-IR model can reach 95.7%,which is higher than other latest intention recognition methods.STABC-IR solves the problem of intention transformation for the first time and considers both temporality and interpretability,which is important for improving the tactical intention recognition capability and has reference value for the construction of command and control auxiliary decision-making system.
文摘国内外研究者通常认为,英语动词不定式中的to只是一个标记,只有语法功能,并无词汇意义。这种观点没有弄清to在英语非限定动词系统中的意义,也没有廓清英语介词to与其之间的认知联系。英语介词to的原型意义为动体对界标的空间趋向性,这种空间趋向性通过隐喻投射表示动体时间对界标时间的趋向性,表示将来时间。通过系统分析英语动词不定式中to的用法、对比英语非限定动词形式to+V、V-ing和V-ed在英语语言中的系统作用可以发现,英语动词不定式中的to既有表示"相对将来时间"的意义,也有无意义的情况。由此可以得出英语to的意义的认知扩展路径:动体对界标的空间趋向性→动体时间对界标时间的趋向性→相对的将来时间→无意义/0,该路径是Hopper&Traugott的"语法化斜坡(cline of grammaticality)"1在英语语言中的一个具体体现。
基金supported in part by National Natural Science Foundation of China under Grants(61525101,61227801 and 61601055)in part by the National Key Technology R&D Program of China under Grant 2015ZX03002008
文摘In this paper,a space-time correlation based fast regional spectrum sensing(RSS)scheme is proposed to reduce the time and energy consumption of traditional spatial spectrum sensing. The target region is divided into small meshes,and all meshes are clustered into highly related groups using the spatial correlation among them. In each group,some representative meshes are selected as detecting meshes(DMs)using a multi-center mesh(MCM)clustering algorithm,while other meshes(EMs)are estimated according to their correlations with DMs and the Markov modeled dependence on history by MAP principle. Thus,detecting fewer meshes saves the sensing consumption. Since two independent estimation processes may provide contradictory results,minimum entropy principle is adopted to merge the results. Tested with data acquired by radio environment mapping measurement conducted in the downtown Beijing,our scheme is capable to reduce the consumption of traditional sensing method with acceptable sensing performance.
