基于改进战役优势参数的作战飞机优化配置

空军在现代战争中起着不可替代的作用,而作战飞机是空中力量的重要组成部分.在考虑信息支援和预警机的情况下,改进了多元兰彻斯特方程,并进一步导出了改进的战役优势参数.以战役优势参数为目标函数,建立了作战飞机在装备数量和采购经费限制条件下的优化配置模型,最后通过算例验证了模型的有效性.     

兵团团场义务教育经费管理问题刍议

兵团团场义务教育经费管理存在公用经费补助标准偏低、覆盖范围过窄、办学成本高、经费配置失衡、团场义务教育投入能力欠缺等问题,通过进一步完善兵团义务教育管理体制、经费投入保障机制、教育资源配置机制和经费监督保障机制,才能够有效解决上述问题,保障兵团团场义务教育经费的合理使用。     

群众路线:中国共产党的根本路线

群众路线是我们党创造性地运用马克思主义的群众观点创立的根本路线,是我们党的优良传统和政治优势.新形势下坚持群众路线,是巩固党的执政地位的必然要求,是推进中国特色社会主义宏伟事业的强大动力,是构建社会主义和谐社会的重要因素,是党的执政能力建设和作风建设的核心所在.当前要结合人民群众的新特点,探索坚持群众路线的新规律;着眼人民群众的新诉求,拓展坚持群众路线的新载体;汲取人民群众的新创见,丰富坚持群众路线的新形式,不断开创坚持群众路线的新局面.     

Multi-objectives nonlinear structure optimization for actuator in trajectory correction fuze subject to high impact loadings

This paper presents an actuator used for the trajectory correction fuze, which is subject to high impact loadings during launch. A simulation method is carried out to obtain the peak-peak stress value of each component, from which the ball bearings are possible failures according to the results. Subsequently, three schemes against impact loadings, full-element deep groove ball bearing and integrated raceway, needle roller thrust bearing assembly, and gaskets are utilized for redesigning the actuator to effectively reduce the bearings' stress. However, multi-objectives optimization still needs to be conducted for the gaskets to decrease the stress value further to the yield stress. Four gasket's structure parameters and three bearings' peak-peak stress are served as the four optimization variables and three objectives, respectively. Optimized Latin hypercube design is used for generating sample points, and Kriging model selected according to estimation result can establish the relationship between the variables and objec-tives, representing the simulation which is time-consuming. Accordingly, two optimization algorithms work out the Pareto solutions, from which the best solutions are selected, and verified by the simulation to determine the gaskets optimized structure parameters. It can be concluded that the simulation and optimization method based on these components is effective and efficient.     

MF-CFI: A fused evaluation index for camouflage patterns based on human visual perception

The evaluation index of camouflage patterns is important in the field of military application. It is the goal that researchers have always pursued to make the computable evaluation indicators more in line with the human visual mechanism. In order to make the evaluation method more computationally intelligent, a Multi-Feature Camouflage Fused Index (MF-CFI) is proposed based on the comparison of grayscale, color and texture features between the target and the background. In order to verify the effectiveness of the proposed index, eye movement experiments are conducted to compare the proposed index with existing indexes including Universal Image Quality Index (UIQI), Camouflage Similarity Index (CSI) and Structural Similarity (SSIM). Twenty-four different simulated targets are designed in a grassland background, 28 observers participate in the experiment and record the eye movement data during the observation process. The results show that the highest Pearson correlation coefficient is observed between MF-CFI and the eye movement data, both in the designed digital camouflage patterns and large-spot camouflage patterns. Since MF-CFI is more in line with the detection law of camouflage targets in human visual perception, the proposed index can be used for the comparison and parameter optimization of camouflage design algorithms.     

多武器平台目标域协同射击控制模型研究

目标域协同射击控制模型是在单平台火控系统空域窗射击控制、射击门控制等基础上,针对多武器平台对点目标或面目标协同射击的需求,进行了目标域和射击效能的定义,提出了空间/时间复合三维射击门的概念,设计了三维射击门模型,分别建立了多武器平台对点目标射击控制模型和多武器平台对面目标射击控制模型,通过对多武器平台协同射击效能的计算分析,证明了目标域协同射击控制模型可显著提高多武器平台协同射击对目标的火力打击效能.     

Real-time prediction of projectile penetration to laminates by training machine learning models withfinite element solver as the trainer

Studies on ballistic penetration to laminates is complicated, but important for design effective protection of structures. Experimental means of study is expensive and can often be dangerous. Numerical simu-lation has been an excellent supplement, but the computation is time-consuming. Main aim of this thesis was to develop and test an effective tool for real-time prediction of projectile penetrations to laminates by training a neural network and a decision tree regression model. A large number of finite element models were developed;the residual velocities of projectiles fromfinite element simulations were used as the target data and processed to produce sufficient number of training samples. Study focused on steel 4340tpolyurea laminates with various configurations. Four different 3D shapes of the projectiles were modeled and used in the training. The trained neural network and decision tree model was tested using independently generated test samples using finite element models. The predicted projectile velocity values using the trained machine learning models are then compared with thefinite element simulation to verify the effectiveness of the models. Additionally, both models were trained using a published experimental data of projectile impacts to predict residual velocity of projectiles for the unseen samples. Performance of both the models was evaluated and compared. Models trained with Finite element simulation data samples were found capable to give more accurate predication, compared to the models trained with experimental data, becausefinite element modeling can generate much larger training set, and thus finite element solvers can serve as an excellent teacher. This study also showed that neural network model performs better with small experimental dataset compared to decision tree regression model.     

新型防空武器系统抗击CM建模与仿真

在分析巡航导弹技术、战术特点的基础上,给出了抗击CM的基本要求,结合新型武器系统的特点提出了抗击作战的数学模型,并通过仿真实验验证了武器系统抗击巡航导弹作战的可用性与高效性,为我新型防空武器系统抗击CM作战的效能评估提供了必要的方法和依据。     

Emergency transshipment in decentralized dealer networks: When to send and accept transshipment requests

While there has been significant previous literature on inventory transshipment, most research has focused on the dealers' demand filling decision (when to fill transshipment requests from other dealers), ignoring the requesting decision (when to send transshipment requests to other dealers). In this paper we develop optimal inventory transshipment policies that incorporate both types of decisions. We consider a decentralized system in which the dealers are independent of the manufacturer and of each other. We first study a network consisting of a very large number of dealers. We prove that the optimal inventory and transshipment decisions for an individual dealer are controlled by threshold rationing and requesting levels. Then, in order to study the impact of transshipment among independent dealers in a smaller dealer network, we consider a decentralized two‐dealer network and use a game theoretic approach to characterize the equilibrium inventory strategies of the individual dealers. An extensive numerical study highlights the impact of the requesting decision on the dealers' equilibrium behavior in a decentralized setting. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2006     

舰空导弹武器系统软件靶场综合测试分析

针对舰空导弹武器系统的特点以及舰空导弹武器系统软件定型试验的现状,指出了舰空导弹武器系统软件靶场测试的必要性、特殊性。通过靶场软件测试综合试验,总结了舰空导弹武器系统软件靶场定型的试验方法。并指出了靶场软件测试的发展方向。