晚清军品走私及其屡禁不止之缘由

鸦片战争以后,中国国门洞开,清廷腐败无能、内陆沿海民变频起,军品走私猖獗。走私方式主要有夹带和隐藏两种;走私主体既有混迹于中国的各国洋人,也有实力雄厚的各洋行,还有中国本土的各种反清组织、商人、匪徒、官僚等。港澳地区和与之毗邻的广东地区是军品走私的重灾区,上海、天津、东北等地区也是军品走私多发之地。晚清军品走私屡禁不止,根本上缘于低效的缉私体制和列强的长期掣肘。     

Visual-attention gabor filter based online multi-armored target tracking

The multi-armored target tracking (MATT) plays a crucial role in coordinated tracking and strike. The occlusion and insertion among targets and target scale variation is the key problems in MATT. Most state-of-the-art multi-object tracking (MOT) works adopt the tracking-by-detection strategy, which rely on compute-intensive sliding window or anchoring scheme in detection module and neglect the target scale variation in tracking module. In this work, we proposed a more efficient and effective spatial-temporal attention scheme to track multi-armored target in the ground battlefield. By simulating the structure of the retina, a novel visual-attention Gabor filter branch is proposed to enhance detection. By introducing temporal information, some online learned target-specific Convolutional Neural Networks (CNNs) are adopted to address occlusion. More importantly, we built a MOT dataset for armored targets, called Armored Target Tracking dataset (ATTD), based on which several comparable experiments with state-of-the-art methods are conducted. Experimental results show that the proposed method achieves outstanding tracking performance and meets the actual application requirements.     

Multi-scale traffic vehicle detection based on faster R-CNN with NAS optimization and feature enrichment

It well known that vehicle detection is an important component of the field of object detection. However, the environment of vehicle detection is particularly sophisticated in practical processes. It is compara-tively difficult to detect vehicles of various scales in traffic scene images, because the vehicles partially obscured by green belts, roadblocks or other vehicles, as well as influence of some low illumination weather. In this paper, we present a model based on Faster R-CNN with NAS optimization and feature enrichment to realize the effective detection of multi-scale vehicle targets in traffic scenes. First, we proposed a Retinex-based image adaptive correction algorithm (RIAC) to enhance the traffic images in the dataset to reduce the influence of shadow and illumination, and improve the image quality. Second, in order to improve the feature expression of the backbone network, we conducted Neural Architecture Search (NAS) on the backbone network used for feature extraction of Faster R-CNN to generate the optimal cross-layer connection to extract multi-layer features more effectively. Third, we used the object Feature Enrichment that combines the multi-layer feature information and the context information of the last layer after cross-layer connection to enrich the information of vehicle targets, and improve the robustness of the model for challenging targets such as small scale and severe occlusion. In the imple-mentation of the model, K-means clustering algorithm was used to select the suitable anchor size for our dataset to improve the convergence speed of the model. Our model has been trained and tested on the UN-DETRAC dataset, and the obtained results indicate that our method has art-of-state detection performance.     

基于DCT、DWT的信息二次隐藏技术的理论分析

信息传送的安全性已成为许多领域所关注的热点和难点,如何在大量的数据载体中嵌入有用的重要信息并将其安全的发送出去是一个值得研究的重要课题。应用DCT和DWT两种变换方式对信息进行二次隐藏,根据相关理论提出隐藏的算法和实现的可能过程,并对实现中可能存在的不足和改进进行了简要分析。结果表明二次隐藏作为一种深度隐藏方式理论上可以实现,在实践技术方面还需进一步完善。二次隐藏技术的发展将在网络安全方面有独特的应用前景。     

专家信度优化的装备效能评估方法

针对不同评判专家主观因素影响装备效能评估质量问题,提出一种专家信度优化的装备效能评估方法。该方法以传统层次分析法与模糊量化模型为基础,引入专家信度量化每个专家评判信息的优劣程度,并将专家信度转化为专家权重,利用专家权重分别融合计算层次分析法的指标权重和模糊量化模型的评判结果,从而减少专家主观因素影响,增强了综合评价客观性。其有效性已在某装备效能评估中得到验证。     

单输入不确定系统离散变结构控制

研究单输入不确定离散时间系统的变结构控制设计问题.提出一种新形式的离散趋近律,它具有良好的动、静态特性,可有效消除由传统离散趋近律参数引起的抖振.设计扰动预估器以补偿不确定因素的影响,从而提高系统鲁棒性并进一步减弱抖振.仿真结果表明了所提设计方法的有效性.     

WEB系统中统计图绘制研究

简要介绍了GDI+,提出了在Web系统中利用GDI+实现统计图绘制的思路,并结合Visual C#.NET与Oracle数据库,举例阐述了统计图实现的关键技术和具体步骤,该技术在军队油库信息可视化研究与应用项目中得到很好应用。     

我院图书馆馆藏结构与利用情况的统计研究

按照《中国图书馆分类法》以大类和二级类目统计了我院图书馆图书馆藏结构,分析了馆藏结构与馆藏利用结构的匹配情况,发现一些类目的图书有很高的利用效率,而另一些类目图书的馆藏结构与利用呈背离状态,得出的结论为今后调整图书采访策略提供了依据。     

钢筋混凝土外粘钢板结构裂缝的有限元数值模拟

随着高技术武器的不断发展,防护工程正面临着前所未有的威胁和挑战,新型防护结构及材料已经成为研究的热点。针对这一实际背景,运用ANSYS大型有限元软件,采用数值模拟的方法对普通钢筋混凝土结构和外粘钢板混凝土结构在相同均布面荷载作用下的变形、钢筋应力以及结构裂缝的开展情况进行了比较。结果表明外粘钢板的钢筋混凝土结构能够大大增强结构的抗力,并且有效的抑制了裂缝的开展。     

部队思想政治工作说服性沟通的路径依赖研究

人的行为一旦进入某一路径,就可能对这种路径产生依赖,并在以后的发展中得到自我强化。好的路径会起到正反馈的作用,坏的路径会起到负反馈的作用。部队思想政治工作通过说服性沟通,引导官兵建立正确的路径依赖,纠正错误的路径依赖。