Sources of dispersions that contribute to delivery error and reduce the soldier performance in terms of hit probability are numerous.In order to improve the warfighter performance,the source of the errors contributing...Sources of dispersions that contribute to delivery error and reduce the soldier performance in terms of hit probability are numerous.In order to improve the warfighter performance,the source of the errors contributing to the inaccuracy and dispersion of the weapon systems must be understood.They include ammunition dispersion error,gun dispersion,aerodynamic jump and the aiming error.The aiming error or gun pointing error is defined as the angle between the gun muzzle at the instant the trigger is pulled and the line of fire that corresponds to the intendent aim point.This is a round-to-round error.In weapons systems that include the rifle,the ammunition,a sight and a gunner,the aiming error was shown to be the single most important source of dispersion for the regular infantryman.In other words,for the general purpose rifle weapon system,the weak link is often the human.In order to verify and quantify this assertion,an experimental investigation was carried out to determine the aiming error associated with general purpose rifle fired by infantryman.The aiming error was evaluated for various firing positions and scenarios using infantryman for ranges varying between 100 m and 500 m.The results show that the aiming error is the main contributor to dispersion for the general purpose rifle fired by a non-specialized infantryman.The aiming error induced dispersion for unstressed and rested gunners is shown to be at best equivalent to that of the weapon fired from a bench rest by a marksman.Crown Copyright(?) 2019 Production and hosting by Elsevier B.V.on behalf of China Ordnance Society.展开更多
本文通过中层大气高空冰探测器(Aeronomy of Ice in the Mesosphere,AIM)卫星的仪器载荷——用于云成像和粒子实验的探测器(Cloud Imaging and Particle Size,CIPS)和用于冰晶实验的太阳掩星探测器(Solar Occultation for Ice Experimen...本文通过中层大气高空冰探测器(Aeronomy of Ice in the Mesosphere,AIM)卫星的仪器载荷——用于云成像和粒子实验的探测器(Cloud Imaging and Particle Size,CIPS)和用于冰晶实验的太阳掩星探测器(Solar Occultation for Ice Experiment,SOFIE)在2007—2014年间南、北半球的观测数据,分析了2007—2014年间夜光云的反照率、冰水含量(ice water content,IWC)、每日发生率及中层顶温度在南、北半球的变化趋势,讨论了夜光云发生位置和年变化,并且对夜光云反照率、中层顶温度和IWC的相关性进行了分析。结果表明:南、北半球夜光云主要发生在80°~85°纬度范围内,与南半球相比,北半球夜光云反照率持续时间更长、年波动更小、IWC更高且每日发生率更高,而南半球90°W~150°W位置的反照率总是较低;南、北半球夜光云反照率和IWC均与中层顶温度之间存在负相关关系,但反照率和冰水含量相关性表现不明显。本文的研究结果为夜光云作为中间层大气变化的敏感指标提供了量化依据;同时,南、北半球夜光云的差异特性有助于改进气候模型,对理解长期气候变化中的半球不对称响应具有参考意义。展开更多
To tackle the challenges of intractable parameter tun-ing,significant computational expenditure and imprecise model-driven sparse-based direction of arrival(DOA)estimation with array error(AE),this paper proposes a de...To tackle the challenges of intractable parameter tun-ing,significant computational expenditure and imprecise model-driven sparse-based direction of arrival(DOA)estimation with array error(AE),this paper proposes a deep unfolded amplitude-phase error self-calibration network.Firstly,a sparse-based DOA model with an array convex error restriction is established,which gets resolved via an alternating iterative minimization(AIM)algo-rithm.The algorithm is then unrolled to a deep network known as AE-AIM Network(AE-AIM-Net),where all parameters are opti-mized through multi-task learning using the constructed com-plete dataset.The results of the simulation and theoretical analy-sis suggest that the proposed unfolded network achieves lower computational costs compared to typical sparse recovery meth-ods.Furthermore,it maintains excellent estimation performance even in the presence of array magnitude-phase errors.展开更多
为了认识痕量元素As在飞灰中的富集特性,利用密度泛函理论研究了砷的典型氧化物AsO在飞灰中的主要成分SiO_2模型上的吸附机理,对优化后的吸附构型进行能量计算、AIM理论、Mulliken电荷分析以及定域化轨道指示函数(LOL)填色图分析,剖析了...为了认识痕量元素As在飞灰中的富集特性,利用密度泛函理论研究了砷的典型氧化物AsO在飞灰中的主要成分SiO_2模型上的吸附机理,对优化后的吸附构型进行能量计算、AIM理论、Mulliken电荷分析以及定域化轨道指示函数(LOL)填色图分析,剖析了AsO与SiO_2表面的相互作用。结果表明,AsO在无定型SiO_2表面的缺陷位的吸附能均大于50 k J/mol,吸附构型均为典型的化学吸附。在无定型SiO_2缺陷活性位点形成的As-Si键、Si-O键和As-O键强度较大,均属于共价键;SiO_2与AsO之间为共价相互作用。展开更多
文摘Sources of dispersions that contribute to delivery error and reduce the soldier performance in terms of hit probability are numerous.In order to improve the warfighter performance,the source of the errors contributing to the inaccuracy and dispersion of the weapon systems must be understood.They include ammunition dispersion error,gun dispersion,aerodynamic jump and the aiming error.The aiming error or gun pointing error is defined as the angle between the gun muzzle at the instant the trigger is pulled and the line of fire that corresponds to the intendent aim point.This is a round-to-round error.In weapons systems that include the rifle,the ammunition,a sight and a gunner,the aiming error was shown to be the single most important source of dispersion for the regular infantryman.In other words,for the general purpose rifle weapon system,the weak link is often the human.In order to verify and quantify this assertion,an experimental investigation was carried out to determine the aiming error associated with general purpose rifle fired by infantryman.The aiming error was evaluated for various firing positions and scenarios using infantryman for ranges varying between 100 m and 500 m.The results show that the aiming error is the main contributor to dispersion for the general purpose rifle fired by a non-specialized infantryman.The aiming error induced dispersion for unstressed and rested gunners is shown to be at best equivalent to that of the weapon fired from a bench rest by a marksman.Crown Copyright(?) 2019 Production and hosting by Elsevier B.V.on behalf of China Ordnance Society.
文摘本文通过中层大气高空冰探测器(Aeronomy of Ice in the Mesosphere,AIM)卫星的仪器载荷——用于云成像和粒子实验的探测器(Cloud Imaging and Particle Size,CIPS)和用于冰晶实验的太阳掩星探测器(Solar Occultation for Ice Experiment,SOFIE)在2007—2014年间南、北半球的观测数据,分析了2007—2014年间夜光云的反照率、冰水含量(ice water content,IWC)、每日发生率及中层顶温度在南、北半球的变化趋势,讨论了夜光云发生位置和年变化,并且对夜光云反照率、中层顶温度和IWC的相关性进行了分析。结果表明:南、北半球夜光云主要发生在80°~85°纬度范围内,与南半球相比,北半球夜光云反照率持续时间更长、年波动更小、IWC更高且每日发生率更高,而南半球90°W~150°W位置的反照率总是较低;南、北半球夜光云反照率和IWC均与中层顶温度之间存在负相关关系,但反照率和冰水含量相关性表现不明显。本文的研究结果为夜光云作为中间层大气变化的敏感指标提供了量化依据;同时,南、北半球夜光云的差异特性有助于改进气候模型,对理解长期气候变化中的半球不对称响应具有参考意义。
基金supported by the National Natural Science Foundation of China(62301598).
文摘To tackle the challenges of intractable parameter tun-ing,significant computational expenditure and imprecise model-driven sparse-based direction of arrival(DOA)estimation with array error(AE),this paper proposes a deep unfolded amplitude-phase error self-calibration network.Firstly,a sparse-based DOA model with an array convex error restriction is established,which gets resolved via an alternating iterative minimization(AIM)algo-rithm.The algorithm is then unrolled to a deep network known as AE-AIM Network(AE-AIM-Net),where all parameters are opti-mized through multi-task learning using the constructed com-plete dataset.The results of the simulation and theoretical analy-sis suggest that the proposed unfolded network achieves lower computational costs compared to typical sparse recovery meth-ods.Furthermore,it maintains excellent estimation performance even in the presence of array magnitude-phase errors.
文摘为了认识痕量元素As在飞灰中的富集特性,利用密度泛函理论研究了砷的典型氧化物AsO在飞灰中的主要成分SiO_2模型上的吸附机理,对优化后的吸附构型进行能量计算、AIM理论、Mulliken电荷分析以及定域化轨道指示函数(LOL)填色图分析,剖析了AsO与SiO_2表面的相互作用。结果表明,AsO在无定型SiO_2表面的缺陷位的吸附能均大于50 k J/mol,吸附构型均为典型的化学吸附。在无定型SiO_2缺陷活性位点形成的As-Si键、Si-O键和As-O键强度较大,均属于共价键;SiO_2与AsO之间为共价相互作用。