模糊推理与多重结构神经网络在信息系统安全风险评估中的应用

针对信息系统安全风险评估中风险因素的模糊不确定性及风险因素闻的潜在关联性,提出了一种结合模糊理论与神经网络的评估方法.利用模糊聚类的方法将因素的评价集分为5类,运用三角模糊数对评价集语言变量进行模糊化处理;基于历史经验,借助模糊神经网络强大的自适应能力与非线性映射能力.对信息系统进行安全风险评估,有效降低了评估的随机性...     

Hilbert空间中拟非扩张映像族公共不动点的迭代算法

给出了Hilbert空间中拟非扩张映像族公共不动点的一个杂交投影算法,使用修正的杂交投影迭代算法,证明了一个强收敛定理,扩展了文献的结果。     

基于属性散射中心的SAR图像重构及在目标识别中的应用

提出基于属性散射中心重构的合成孔径雷达(SAR)图像目标识别方法.该方法采用邻域匹配算法构建测试图像散射中心集与对应模板散射中心集的对应关系.并分别利用所有的测试散射中心以及匹配的模板散射中心基于属性散射中心模型重构测试图像和模板图像.在此基础上,设计重构图像之间的相似度度量并根据最大相似度的准则判定目标类别.利用MSTAR数据集在多种条件下进行了目标识别实验,验证了所研究方法的有效性.     

空中进攻作战天基信息"云"支援体系建设研究

天基信息支援下的空中进攻作战对于夺取战场控制权、改变战争局面发挥着不可估量的作用.随着作战领域不断融合和人工智能、云计算、大数据等技术在军事领域的深入渗透应用,现代空中进攻作战展现出不同以往的样式与特征.基于新特征下的空中进攻作战对天基信息支援的作战需求设计了天基信息"云"支援体系,分析了空中进攻作战中天基信息支援技术体系支持,对人工智能、大数据等新技术在天基信息支援体系建设中的应用和未来空中战场发展方向进行了展望.     

大功率IGBT器件及其组合多时间尺度动力学表征研究综述

在提出电力电子器件及其组合多时间尺度动力学表征需求的前提下,以目前常用的全控型电力电子器件——绝缘栅双极晶体管(Insulated Gate Bipolar Transistor,IGBT)为例,系统分析并归纳了目前在IGBT及其组合多时间尺度动力学表征研究方面的进展和成果,包括作为基础的大功率IGBT及其组合多时间尺度电热瞬态建模方法、基于模型的大功率IGBT模块失效量化表征方法以及用于辅助分析的IGBT组合多速率仿真方法。此外,介绍了基于IGBT多时间尺度模型的装置应用设计案例。从建模方法、可靠性评估、仿真手段以及应用设计四个方面系统全面地阐述了大功率IGBT及其组合多时间尺度的动力学表征方法,可为电力电子混杂系统的精确设计提供电力电子器件层面的理论和技术支撑。     

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.     

Storage life prediction under pre-strained thermally-accelerated aging of HTPB coating using the change of crosslinking density

In order to predict the storage life of a certain type of HTPB (hydroyl-terminated polybutadiene) coating at 25 C and analyze the influence of pre-strain on the storage life, the accelerated aging tests of HTPB coating at 40 C, 50 C, 60 C, 70 C with the pre-strain of 0%, 3%, 6%, 9%, respectively were carried out. The variation regularity of the change of crosslinking density was analyzed and the aging model of HTPB coating under pre-strained thermally-accelerated aging was proposed. The storage life of HTPB coating at 25 C was estimated by using the Berthelot equation as the end point of the aging life with a 30% decrease in maximum elongation. The results showed that the change of crosslinking density of HTPB coating increased with the increase of aging temperature and aging time, and decreased with the in-crease of pre-strain. Under 0% pre-strain, the relationship between the change of crosslinking density of HTPB coating and the aging time can be described by the logarithmic model with the confidence probability greater than 99%.The stress relaxation phenomenon existed under 3%, 6% and 9% pre-strained aging. The aging model considering chemical aging and pre-strain was established with the confidence probability greater than 90%. The storage life of HTPB coating was 15.2935 years at 25 C under 0% pre-strain, which was reduced by 13.9007%, 75.6949% and 89.7859% under 3%, 6% and 9% pre-strain, respectively. The existence of pre-strain has a serious impact on the storage life of HTPB coating, therefore, the pre-strain should be avoided as much as possible during the actual storage.     

基于动态时间规整下密度聚类的轨迹识别研究

为使地空导弹兵模拟训练系统获得的目标机动轨迹更加贴近实战、更有依据性,考虑对演习训练产生的轨迹数据进行分析,设计了DBSCAN(Density-Based Spatial Clustering of Applications with Noise,针对有噪声数据的基于密度的空间聚类)预分类的DBSCAN改进DTW(Dynamic Time Warping,动态时间归整)聚类算法来分析机动轨迹.并与未预分类的DBSCAN改进DTW聚类算法进行对比,发现其运行效率和分类准确度方面均较优.同时分析了数据结构和算法的参数对分类效果的影响,发现数据规模越大,DBSCAN预分类的DBSCAN改进DTW聚类算法的优势越明显.通过仿真得到了使DBSCAN预分类的DBSCAN改进DTW聚类算法发挥最高效率的参数.     

Theoretical and numerical simulation study on jet formation and penetration of different liner structures driven by electromagnetic pressure

The use of a shaped liner driven by electromagnetic force is a new means of forming jets. To study the mechanism of jet formation driven by electromagnetic force, we considered the current skin effect and the characteristics of electromagnetic loading and established a coupling model of"Electric—Magnetic—Force"and the theoretical model of jet formation under electromagnetic force. The jet formation and penetration of conical and trumpet liners have been calculated. Then, a numerical simulation of liner collapse under electromagnetic force, jet generation, and the stretching motion were performed using an ANSYS multiphysics processor. The calculated jet velocity, jet shape, and depth of penetration were consistent with the experimental results, with a relative error of less than 10％. In addition, we calculated the jet formation of different curvature trumpet liners driven by the same loading condition and ob-tained the influence rule of the curvature of the liner on jet formation. Results show that the theoretical model and the ANSYS multiphysics numerical method can effectively calculate the jet formation of liners driven by electromagnetic force, and in a certain range, the greater the curvature of the liner is, the greater the jet velocity is.     

Nitro-tetrazole based high performing explosives: Recent overview of synthesis and energetic properties

Heterocyclic skeleton (Azoles) and different energetic groups containing high performing explosives are highly emerged in recent years to meet the challenging requirements of energetic materials in both military and civilian applications with improved performance. For this purpose tetrazole (Azole) is identified as an attractive heterocyclic backbone with energetic functional groups nitro (-NO₂), nitrato (-ONO₂), nitrimino (-NNO₂), and nitramino (–NH–NO₂) to replace the traditionally used high performing explosives. The tetrazole based compounds having these energetic functional groups demonstrated advanced energetic performance (detonation velocity and pressure), densities, and heat of formation (HOF) and became a potential replacement of traditional energetic compounds such as RDX. This review presents a summary of the recently reported nitro-tetrazole energetic compounds containing poly-nitro, di/mono-nitro, nitrato/nitramino/nitrimino, bridged/bis/di tetrazole and nitro functional groups, describing their preparation methods, advance energetic properties, and further applications as high-performing explosives, especially those reported in the last decade. This review aims to provide a fresh concept for designing nitro-tetrazole based high performing explosives together with major challenges and perspectives.