信息知识库中的数据可用性恢复策略

信息知识库在工业生产中能够提高生产效率、降低资源消耗,但数据失效频率高。针对多节点失效重构的纠删码策略较少,且未充分考虑失效数据重构时各参与节点间的链路关系,导致重构效率较低。针对信息知识库数据失效,提出一种新的重构策略。根据节点的数据处理能力,选取数据处理能力最高的新生节点为路由节点;依据路由节点与候选供应节点及剩余空闲节点的链路带宽,确定供应节点及新生节点,从而构建数据重构网络拓扑,提高失效数据重构效率。实验结果证实,与传统纠删码策略性能比较,该方法有较短的重构时间和较高的重构成功率。     

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.     

面向故障预测与健康管理的传感器优化配置

传感器优化配置是保证装备故障预测与健康管理(Prognostics and Health Management,PHM)系统有效实现的基础.针对目前陆军装备保障中缺乏有效的传感器配置方法的现状,以某型防空导弹调平起竖系统为研究对象,建立了考虑传感器失效的PHM系统传感器优化配置模型.对导弹发射车调平起竖系统控制回路进行了分析,在此基础上形成系统的故障-传感器相关性矩阵;根据系统的指标要求建立传感器优化配置模型,采用蚁群算法求解;将结果与粒子群算法进行比较,表明利用蚁群算法取得了更优的配置方案,能够为PHM系统中装备的传感器优化配置提供有效指导.     

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.     

Fullerene bisadduct stabilizers: The effect of different addition positions on inhibiting the autocatalytic decomposition of nitrocellulose absorbed nitroglycerin

To explore the effect of different positions and number of pyrrolidine bound to the carbon cage on the stabilization effect of fulleropyrrolidine derivatives to nitrocellulose (NC)/nitroglycerine (NG), we synthesized N-(4-methoxy) phenylpyrrolidine-C₆₀ and four different of bis(N-(4-methoxy) phenylpyrrolidine)-C₆₀ compounds through Prato reaction. Their structures were characterized by UV–vis, ¹H NMR, ¹³C NMR, high-resolution mass spectroscopy, and single-crystal X-ray diffraction. Their stabilization effect to NC/NG were investigated using differential scanning calorimetry, methyl violet, vacuum stabilization effect, weight loss, and accelerating rate calorimeter tests. The results indicated these compounds had excellent stabilization effect to NC/NG. The stabilization effect of the fulleropyrrolidine bisadducts to NC/NG is significantly better than that of fulleropyrrolidine monoadduct and C₆₀. Moreover, the position where pyrrolidine binds to fullerene in fulleropyrrolidine bisadducts is different, and its stabilization effect to NC is also different. The stabilization effect order of different bisadduct isomers to nitrocellulose is as follows: e-edge > trans-2> cis-2> trans-3. Electron paramagnetic resonance (EPR) and FT-IR were used to study the stabilization mechanism of fulleropyrrolidine derivatives to NC/NG. The EPR results also show that fulleropyrrolidine bisadducts with different addition sites have different abilities to absorb nitroxide, and their ability is better than that of the monoadduct and C₆₀, which is consistent with the results of stabilization effect performance test.     

基于程序设计类课程的教育技术本科生创新思维培养研究与实践

本文基于ATDE创新教育理论,以程序设计类课程为教学阵地,对教育技术本科生创新思维培养做出了相关探索与实践。创新思维是高级的问题解决活动。培养学生的创新思维更多体现在对学生解决问题的策略应用方面。对此,本文通过给出的案例,从不同角度详细介绍了程序设计类课程对培养教育技术本科生创新思维的实施对策,以期对提高本专业建设做出有益的探索。     

用科学发展观指导军队基层建设全面发展

以科学发展观统领国防和军队建设,重在抓基层,打基础上下功。促进军队基层全面建设的科学发展,应该坚持科学理论武装,以正确的观念谋发展;遵循基层建设规律,以科学的思路求发展;优化基层建设环境,以科学的秩序保发展;健全科学评估机制,以科学的标准促发展。     

重视抓好政治理论课教学中的细节

提高政治理论课教学质量要重视抓细节。抓细节就是抓质量;抓细节必须贯穿始终。从教学各环节、各要素努力拓展细节的空间,对备课、课堂讲授艺术、教学语言和姿态、教学对象的每一个细节都慎重对待,一以贯之地精心打造好每一个细节。     

集合线对对数周期偶极子天线的影响

主要研究了对数周期偶极子天线.基于Pocklington积分方程和全域基函数,采用矩量法结合网络理论建立了天线算法模型;使用该模型计算了在天线阵和集合线共同作用下天线的辐射方向图,得出了集合线在不同频段上对天线辐射性能的影响,并通过截短延长线长度改善了天线低频段的辐射特性,增强了天线轴向方向性.