双预测结构融合的复杂红外图像背景抑制算法

针对复杂红外图像的背景抑制问题,提出了一种双预测结构融合的复杂红外图像背景抑制算法.算法以图像中每个像素为中心,在其局部区域内根据灰度相似程度和空间分布相关性计算像素的核值相似程度,然后根据核值相似程度有侧重地融合两种不同结构的空间滤波器的输出作为最终的预测结果,最后将原始图像与预测图像相减完成背景抑制.实验结果表明,本文提出的算法能够较好地抑制不同红外图像中的复杂背景,算法结构简单,具有较强的应用价值.     

基于复杂网络的武器装备重要度评估方法

针对现有武器装备重要度评估方法存在的缺点和不足,基于复杂网络中改进的节点重要度评估指标和方法,建立了武器装备重要度评估模型。该方法不仅描述了武器装备在装备体系中的重要程度,也反映了武器装备失效后的修复情况。最后通过一评估示例,说明了方法的有效性和适应性。     

复合铝基润滑脂制备与性能

复合铝基润滑脂是性能优良的多效润滑脂,尤其是泵送性能良好,适用于集中润滑系统,已在冶金等行业获得广泛应用。考察了组成、工艺和添加剂对复合铝基润滑脂性能的影响,复合铝皂对环烷基油的稠化能力优于对石蜡基油的稠化能力,增大基础油黏度有利于改善润滑脂的性能,采用异丙醇铝三聚物比采用异丙醇铝制备复合铝基润滑脂的工艺可靠,产品性能更稳定。通过配方和工艺条件优化,制备的复合铝基润滑脂具有高滴点,良好的胶体安定性、机械安定性、氧化安定性、抗水性、防腐性和抗磨性。     

基于有限理性理论的虚拟士兵感知行为建模研究

针对当前虚拟士兵感知行为模型的缺陷,介绍有限理性理论和基于有限理性虚拟士兵的概念,分析了加入有限理性理论的虚拟士兵的特点,提出了基于有限理性虚拟士兵的感知行为模型。该模型包括有限视觉模型、有限听觉模型和有限记忆模型,基于该感知模型的虚拟士兵在感知、决策和运动能力方面与类似真实士兵具有较高的一致性。这对虚拟士兵的感知行为建模研究具有一定的探索意义。     

Bionic stab-resistant body armor based on triangular pyramid structure

A stab-resistant substrate was designed and realized with a triangular pyramidal structure, inspired by the biological armor model in nature. The stab-resistance behavior and dynamic response mechanisms were studied through numerical simulation and experimental testing of a knife impacting a substrate, and an optimal structural design was obtained accordingly, with a tilted angle of 22.5° and optimal thickness of 1.2 mm. It was shown that the triangular pyramidal structure generated twice the internal energy of the knife than the flat substrate due to the dispersing effect of the structure. The force parallel to the inclination caused a significant scratch on the substrate surface, while the force perpendicular caused obvious substrate deformation. A new riveting method was used to form the total layer, which passed the GA 68—2008 standard. The stab-resistant clothing coupled with the reduced wearing burden could provide effective protection and avoid fatal injuries on security personnel working in dangerous environments. The method provided may enlighten the future design and manufacturing of stab-resistant clothing.     

Partial penetration of annular grooved projectiles impacting ductile metal targets

Changing and optimizing the projectile nose shape is an important way to achieve specific ballistic performance. One special ballistic performance is the embedding effect, which can achieve a delayed high-explosive reaction on the target surface. This embedding effect includes a rebound phase that is significantly different from the traditional penetration process. To better study embedment behavior, this study proposed a novel nose shape called an annular grooved projectile and defined its interaction process with the ductile metal plate as partial penetration. Specifically, we conducted a series of low-velocity-ballistic tests in which these steel projectiles were used to strike 16-mm-thick target plates made with 2024-O aluminum alloy. We observed the dynamic evolution characteristics of this aluminum alloy near the impact craters and analyzed these characteristics by corresponding cross-sectional views and numerical simulations. The results indicated that the penetration resistance had a brief decrease that was influenced by its groove structure, but then it increased significantly-that is, the fluctuation of penetration resistance was affected by the irregular nose shape. Moreover, we visualized the distribution of the material in the groove and its inflow process through the rheology lines in microscopic tests and the highlighted mesh lines in simulations. The combination of these phenomena revealed the embed-ment mechanism of the annular grooved projectile and optimized the design of the groove shape to achieve a more firm embedment performance. The embedment was achieved primarily by the target material filled in the groove structure. Therefore, preventing the shear failure that occurred on the filling material was key to achieving this embedding effect.     

【专题】复杂陆战场环境下的智能感知理论现状与发展

近年来,由于基于深度学习方法的智能检测算法不断演进,其网络结构不断进化,实用化程度不断提高,因此,将其应用于复杂战场环境下,形成实用化智能感知能力的可行性不断提高。然而算法的可靠性、可解释性问题目前仍未完全解决。本文认为,在未来的地面无人平台系统框架内,使用基于深度学习的目标检测识别方法,融合多种传感器感知信号,探索如何可靠地收集无人平台附近敌我车辆、人员、相关物体状况以及视距内的地理与气象环境信息,能够实现多元智能感知过程,构建智能复杂体系,为无人平台实现复杂战场环境感知理解,自主环境判定、自主行走、自主危险判定甚至威胁自动处置提供技术储备。同时,这也将是军队下一步智能感知理论方向的主要任务。     

Experimental investigation on enhanced damage to fuel tanks by reactive projectiles impact

Enhanced damage to the full-filled fuel tank,impacted by the cold pressed and sintered PTFE/AL/W reactive material projectile(RMP)with a density of 7.8 g/cm3,is investigated experimentally and theoretically.The fuel tank is a rectangular structure,welded by six pieces of 2024 aluminum plate with a thickness of 6 mm,and filled with RP-3 aviation kerosene.Experimental results show that the kerosene is ignited by the RMP impact at a velocity above 1062 m/s,and a novel interior ignition phenomenon which is closely related to the rupture effect of the fuel tank is observed.However,the traditional steel projectile with the same mass and dimension requires a velocity up to 1649 m/s to ignite the kerosene.Based on the experimental results,the radial pressure field is considered to be the main reason for the shear failure of weld.For mechanism considerations,the chemical energy released by the RMP enhances the hydrodynamic ram(HRAM)effect and provides additional ignition sources inside the fuel tank,thereby enhancing both rupture and ignition effects.Moreover,to further understand the enhanced ignition effect of RMP,the reactive debris temperature inside the kerosene is analyzed theoretically.The initiated reactive debris with high temperature provides effective interior ignition sources to ignite the kerosene,resulting in the enhanced ignition of the kerosene.     

基于FPGA的数字复解调系统的实现

在介绍数字复解调原理的前提下,实现了一个对雷达单频脉冲信号在中频直接数字化的数字复解调系统,该系统由A/D模块和DDC模块组成,着重介绍了DDC模块中数控振荡器和数字滤波器的原理以及实现。经验证,该系统接收雷达中频脉冲信号,能够实现所需的数字复解调功能,对比模拟复解调系统,解调信号在幅度一致性以及相位正交性方面都有显著提高。     

Why they fight? Reconsidering the role of motivation in combat environments

The current combat motivation model based on primary group thesis assumes that the main force behind motivation is peer-bonding or otherwise known as unit cohesion. Cohesion is perceived as an all-encompassing factor that leads to satisfactory (or unsatisfactory in lack thereof) military effectiveness and performance in conflict environments. However, the article identifies three main problems with this perspective: 1. mono-dimensional view of motivation; 2. motivation based on heteronomy, and 3. self-reporting bias. The current model does not consider motivation as a separate entity from cohesion; it does not place motivation as fundamental human value; lastly, it takes motivation as granted by-product of socialization. The article proposes a new combat motivation model based on The Self-Determination Theory. The theory maintains that human motivation requires satisfaction of three psychological needs of competence, relatedness, and autonomy. The degree of satisfaction of those three needs leads to different types of regulated motivations – a continuum from intrinsic to extrinsic – each of which has specifiable consequences for learning, performance, and well-being of an individual.