美国海军飞机发动机异物损伤研究

异物损伤是飞机发动机受损的重要原因，备受美国海军重视。发动机异物损伤原因的准确判别具有难度，经常需要有经验人员根据损伤结果进行推测。异物存在、吸入条件和作业环境是影响发动机异物损伤的三方面因素。改进飞机设计、开展异物排查可减少异物损伤的发生。     

Vehicle detection grammars with partial occlusion handling for traffic surveillance

Traffic surveillance is an important topic in intelligent transportation systems (ITS). Robust vehicle detection is one challenging problem for complex traffic surveillance. In this paper, we propose an efficient vehicle detection method by designing vehicle detection grammars and handling partial occlusion. The grammar model is implemented by novel detection grammars, including structure, deformation and pairwise SVM grammars. First, the vehicle is divided into its constitute parts, called semantic parts, which can represent the vehicle effectively. To increase the robustness of part detection, the semantic parts are represented by their detection score maps. The semantic parts are further divided into sub-parts automatically. The two-layer division of the vehicle is modeled into a grammar model. Then, the grammar model is trained by a designed training procedure to get ideal grammar parameters, including appearance models and grammar productions. After that, vehicle detection is executed by a designed detection procedure with respect to the grammar model. Finally, the issue of vehicle occlusion is handled by designing and training specific grammars. The strategy adopted by our method is first to divide the vehicle into the semantic parts and sub-parts, then to train the grammar productions for semantic parts and sub-parts by introducing novel pairwise SVM grammars and finally to detect the vehicle by applying the trained grammars. Experiments in practical urban scenarios are carried out for complex traffic surveillance. It can be shown that our method adapts to partial occlusion and various challenging cases.     

Specific object re-identification across non-overlapping camera views in traffic accidents

ABSTRACT

To improve the robustness of object re-identification in complex outdoor environments for traffic safety systems, a novel object re-identification algorithm based on the Individual Similarity Difference Feature (ISDF) method is proposed. This method can provide reliable support for specific object tracking during traffic accidents in video surveillance networks. First, all the images in the gallery are divided into three parts according to a segmentation ratio, and six types of feature for each part are extracted. Second, prototypes for each feature of the three parts are constructed. Third, the image sequence of the same person is grouped, and then the ISDF is extracted from each image. Finally, we use the AdaBoost classifier to judge whether the two objects are matched and then output the final results. Extensive experiments are conducted on two public data sets (Eidgenössische Technische Hochschule Zürich and multi-camera object tracking). The performance of the object re-identification method is superior to the latest methods.     

水下通信模拟训练系统设计与关键技术研究

该模拟系统旨在解决舰潜水下通信训练中存在的两大难题：一是通信声纳开机的时机少、时间短,训练机会少;二是通信声纳日常训练中没有训练环境和通信对象,训练效果差。该系统采用模块化的设计方式和面向对象的建模方法,将系统有机地分解成若干个模块,对系统的总体架构进行了说明,并对关键模块的实现进行了详细的阐述。     

相控阵列信号模拟系统研究

研究相控基阵目标模拟系统的实现方案，应用于鱼雷声自导系统的研发和测试。根据对目标信号场与基阵空间的相关性的分析，提出一种新颖的可编程相移单元阵列结构，以递推的方式进行各个阵元相位的计算，使得系统硬件规模大为缩小，并且该结构的规则性使之非常适合于大规模集成。最后给出系统实现结果，整个相控阵列目标模拟系统实现了单片集成。     

交通流仿真系统软件设计及应用

依据车辆跟驰理论和面向对象程序设计思想，探讨了交通流仿真系统（traffic flowsimulation system，TFSS）开发中的一些软件技术，从符合我国城市交通实际的路网模型、交通流生成模型、跟驰模型、换车道模型和交叉口信号控制模型入手，采用二维动画的方式模拟车辆的运行，给出了软件设计思路、系统结构设计、主流程图、界面设计及应用，最后提出了开展混合交通条件下城市交通流仿真研究的方向。     

基于面向对象的实验数据可视化研究

以风洞表面测压实验为例，给出车体表面上任意点的压力值的计算方法，并利用面向对象方法编制的可视化程序将实验结果形象地再现，便于实验人员分析，为实验数据可视化提供简便有效的途径。     

一种新的DSS模型表示方法

在对面向对象的模型表示方法及面向对象的概念进行深入研究的基础上，提出了模型的面向对象表示，把模型看作对象，且模型和对象是一一对应的，模型也可以看成数据和方法（操作）的封装，这种模型表示方法已应用于财务核算系统中，取得了良好的效果。     

基于遗传算法的磁性目标磁模型

磁性目标形体复杂,磁化不均匀,目前一般采用逆方法拟合测量数据,从而建立其磁模型.文中以系数矩阵的条件数为目标函数,利用遗传算法搜索磁偶极子的位置,同时监测拟合误差,使得目标函数达到最优的同时,拟合误差也满足要求.实测数据的建模结果表明,用该方法建立的磁场模型精度高,对测量误差不敏感,具有很强的鲁棒性.