基于装备修理时机的装备损坏率估计

预防性修理装备损坏率及其分布包括依据运行时间制定修理时机、依据行驶里程制定修理时机、依据射击发数制定修理时机和装备损坏率及其分布.故障后修理装备损坏率及其分布则使用统计方法实现.综合以上2种修理,对部队每年的装备损坏情况需作以统计,可得出某段时间的装备损坏率及其分布.     

JTIDS相对导航性能分析和研究

介绍了JTIDS相对导航的原理，研究了相对导航卡尔曼滤波算法和导航的源选择算法。分析了JTIDS相对导航的误差源，在TDMA消息分发机制中，讨论了相对导航的观测模型，研究了几种导航源的特性。针对这几种主要误差源的特性，提出了降低误差源对导航性能影响的方法。     

智能ODN解决方案及应用探讨

智能光分配网络(ODN)技术因具有可管可控、稳定高效等优势,已成为近期光纤接入(FTTx)网络建设与改造的研究重点。首先,通过简单介绍业界三种典型的智能ODN解决方案,然后分析各自的差异性和优缺点,并提出了一种基于电子标签和二维码的智能ODN解决方案。最后,对智能ODN系统的发展进行了展望,认为制定智能ODN规范标准以及提高产品兼容性对实现ODN规模化发展及差异化运营具有重要的意义。     

基于时频形态学滤波的能量积累检测

许多实际应用中,强噪声背景下信号能量的长时间积累是有效检测的关键。该文利用信号在时频平面上的能量聚集特性,提出基于时频域形态学滤波的能量积累检测方法。首先确定时频分布的最优核,计算观测序列的时频分布;然后用阈值处理和形态学滤波估计时频分布的高能量支撑区域;最后累加这些区域的时频能量作为统计量进行检测。仿真结果表明,这种方法在低信噪比下可以有效工作。     

智能视频监控中目标跟踪的研究与实现

目标跟踪是智能监控领域的关键技术,本文主要是研究实现这一关键技术。提出一种融合运动目标的面积和矩特征进行匹配的算法,并结合运动估计算法对下一时刻目标最可能存在的方位进行预测,实现了对运动目标的跟踪。实验表明该算法能够准确跟踪运动目标,在一定程度上满足了实时性的要求。     

火箭助飞鱼雷雷体动力学特性分析

对火箭助飞鱼雷在给定弹道上雷体俯仰通道的刚体动力学特性进行了分析，分析结果表明，雷体俯仰运动特性变化较大，并且存在严重振荡甚至不稳定现象，如果不引入控制作用，将难以满足飞行需要。同时为认识雷体的动力学特性以及进一步的稳定回路设计提供了依据。     

A Novel Character Segmentation Method for Text Images Captured by Cameras

Due to the rapid development of mobile devices equipped with cameras, instant translation of any text seen in any context is possible. Mobile devices can serve as a translation tool by recognizing the texts presented in the captured scenes. Images captured by cameras will embed more external or unwanted effects which need not to be considered in traditional optical character recognition (OCR). In this paper, we segment a text image captured by mobile devices into individual single characters to facilitate OCR kernel processing. Before proceeding with character segmentation, text detection and text line construction need to be performed in advance. A novel character segmentation method which integrates touched character filters is employed on text images captured by cameras. In addition, periphery features are extracted from the segmented images of touched characters and fed as inputs to support vector machines to calculate the confident values. In our experiment, the accuracy rate of the proposed character segmentation system is 94.90%, which demonstrates the effectiveness of the proposed method.     

A two-stage convolutional sparse prior model for image restoration

Image restoration (IR) from noisy, blurred or/and incomplete observed measurement is one of the important tasks in image processing community. Image prior is of utmost importance for recovering a high quality image. In this paper, we present a two-stage convolutional sparse prior model for efficient image restoration. The multi-view features prior is first obtained by convolving the image with the Fields-of-Experts (FoE) filters and then the resulting multi-view features are represented by convolutional sparse coding (CSC) prior. By taking advantage of the convolutional filters, the proposed two-stage model inherits the strengths of multi-view features and CSC priors. The assembled multi-view features contain high-frequency, redundancy, and large range of feature orientations, which are favor to be represented by CSC and consequently for better image recovery. Augmented Lagrangian and alternating direction method of multipliers are employed to decouple the nonlinear optimization problem in order to iteratively approach the optimum solution. The results of various experiments on image deblurring and compressed sensing magnetic resonance imaging (CS-MRI) reconstruction consistently demonstrate that the proposed algorithm efficiently recovers image and presents advantages over the current leading restoration approaches.     

基于10kV配电网无功功率优化补偿的探究

当前为确保电源电压的稳定以及延长电气设备的使用寿命,无功功率的调节是电力系统运行中有一个亟待解决的问题。文中基于此,首先对比了配电网无功优化补偿的各种常见方式,然后对主要的优化补偿方式进行了分析,接着以晶闸管控制电路为研究内容探讨了无功补偿优化系统。这一研究对于改进电力系统运行的稳定性具有一定的意义。     

基于LOG算子边缘检测提取特征点的平显振动算法研究

针对平显测试过程中图像抖动检测实时性要求较高的特点,通过对图像振动检测算法进行分析,提出了基于LOG算子边缘检测提取特征点的平显振动算法,利用该算法提取图像序列的特征点后并进行特征点匹配,根据特征点对位移量计算图像序列的振动量。实验结果表明该算法可以满足平显图像振动实时检测要求。