极端曝光图像的多尺度分解细节感知融合算法

针对极端曝光(欠曝光和过曝光)图像动态范围低的问题,提出一种基于多尺度分解细节感知的图像融合算法。欠曝光图像经过细节增强后,与过曝光图像进行初步的粗融合;采用小波变换对细节增强后图像的亮度分量进行多尺度分解,并设计专门的高频和低频融合策略,实现亮度分量的精融合;将粗融合图像的色调、饱和度分量,与精融合图像的亮度分量重组,获得最终的融合结果。基于大量测试数据,实验结果表明所提方法在视觉效果方面表现优异,平均MEF-SSIM指标为0.985 4,平均SSIM指标为0.650 8,均优于现有主流算法。     

U-D分解单步迭代滤波在飞行状态估计中的应用

针对单步迭代滤波常规算法数值鲁棒性差、滤波易于发散的缺点对误差协方差矩阵使用了 U - D分解 ,从而形成了一种基于 U - D分解的单步迭代滤波算法。该算法提高了数值鲁棒性 ,并且对相关的量测噪声有一定处理能力 ,应用于飞行状态的估计问题 ,获得了较为满意的结果     

The defence firm of the future

This paper offers the personal view of a senior executive in the Defence Procurement Agency about the future requirements of the defence industry’s principal UK customer. The focus here is on trying to identify the type of corporate behaviour and range of skill sets that the UK Government will need from defence suppliers, both primes and supply chain companies in the future. The concluding message from this ‘Customer View’ is that there is likely to be a continuing market for the company that specializes in delivering defence capability. It will be a company that will be looking for a long‐term relationship, with a specialist knowledge of its various national customers and a willingness to work openly and closely with them. It will be agile in its ability to bring together diverse technologies, to package them as a system and to deliver them either as hardware or as a service. Such suppliers will also need to innovate and to adapt at least as rapidly as the threats that they seek to counter.     

一种利用GPS载波相位姿态测量的方法

GPS初始整周模糊度的求解是利用载波相位进行测量时的关键问题.采用了对系数矩阵进行QR分解的方法,用以降低矩阵的维数.模糊度搜索时,针对Z变换可能会引入多余误差,采用了对称三角分解法对协方差矩阵进行去相关处理.实验与仿真结果表明,定位误差在0.5 cm以内,方位角和仰角误差在0.1°以内.     

Benders decomposition with alternative multiple cuts for a multi‐product closed‐loop supply chain network design model

In this article, we consider a multi‐product closed‐loop supply chain network design problem where we locate collection centers and remanufacturing facilities while coordinating the forward and reverse flows in the network so as to minimize the processing, transportation, and fixed location costs. The problem of interest is motivated by the practice of an original equipment manufacturer in the automotive industry that provides service parts for vehicle maintenance and repair. We provide an effective problem formulation that is amenable to efficient Benders reformulation and an exact solution approach. More specifically, we develop an efficient dual solution approach to generate strong Benders cuts, and, in addition to the classical single Benders cut approach, we propose three different approaches for adding multiple Benders cuts. These cuts are obtained via dual problem disaggregation based either on the forward and reverse flows, or the products, or both. We present computational results which illustrate the superior performance of the proposed solution methodology with multiple Benders cuts in comparison to the branch‐and‐cut approach as well as the traditional Benders decomposition approach with a single cut. In particular, we observe that the use of multiple Benders cuts generates stronger lower bounds and promotes faster convergence to optimality. We also observe that if the model parameters are such that the different costs are not balanced, but, rather, are biased towards one of the major cost categories (processing, transportation or fixed location costs), the time required to obtain the optimal solution decreases considerably when using the proposed solution methodology as well as the branch‐and‐cut approach. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007     

SPH并行计算方案及其在自由表面流动模拟中的应用

针对光滑粒子动力学主要计算量是近邻粒子搜索这一特点,提出了一种基于粒子分解的光滑粒子动力学并行计算方案。利用该方案可以方便地将任意串行光滑粒子动力学代码并行计算,而且每一个时间步内的信息传递量只和粒子总数有关,而和粒子的分布无关,因而特别适合于自由表面流动等大变形问题的并行数值模拟。对一个粒子总数为40万的三维溃坝问题的模拟结果表明:此方案能达到的最大加速比约为16,这一结果可能比空间分解方案(不考虑动态负载均衡)更优。     

混合气体识别的响应等效性与瞬态信号正交分解模型

针对目前混合气体识别大多采用传感器稳态响应信号、基于线性混合假设或大量样本学习,而瞬态响应信号特征分析主要应用非正交分解的问题,提出一种基于响应等效性与瞬态信号正交分解的混合气体识别模型。分析金属氧化物半导体传感器对混合气体的响应特性,建立基于气体响应成分等效性假设的气体非线性混合模型,在此基础上,提出并应用一种新的正交基函数——扩展类Legendre正交基,对气体传感器瞬态响应信号进行分解;通过对正交分解系数与气体浓度的回归分析,验证二者之间的指数型关联关系,并以正交分解系数为特征参数,利用气体非线性等效混合模型对混合气体分解与辨识。实验结果表明,尽管这种混合气体识别模型仅用单一气体检测的先验知识,对混合气体的识别误差仍可达到15%以内。     

EEMD+BiGRU组合模型在短时交通流量预测中的应用

针对城市交通流随机波动性强、数据中含噪声多导致预测精度下降的问题,提出一种基于集合经验模态分解(ensemble empirical mode decomposition,EEMD)和双向门控循环单元(bidirectional gated recurrent unit,BiGRU)的组合交通流量预测模型,有效地提升了短时交通流预测的精度。模型利用EEMD算法对原始数据进行分解,根据分解所得的本征模函数(intrinsic mode function,IMF)分量绘制噪声能量图谱,去除分量中的噪声,并将去噪后的IMF分量作为BiGRU网络的输入进行训练,再将训练所得的结果进行重构加和,得到最终的预测结果。实验结果表明,未舍弃含有噪声的IMF分量进行重构的预测结果,相比于参考文献中提出的EMD+LSTM模型、LSTM模型和EEMD+LSTM模型,其平均绝对百分误差分别优化了42.36%、61.82%和30.95%;舍弃含有噪声的IMF分量后进行重构的预测结果,其平均绝对百分误差相比于将全部IMF分量进行重构优化了56.62%。     

采用 Bayes 数据融合方法进行目标和诱饵的识别

本文以目标和诱饵的识别为背景,详细叙述了采用基于Ｂａｙｅｓ数据融合方法的基本原理、融合模型和识别结果。从识别结果可以看出,这种方法可以达到较高的识别率,是识别目标和诱饵的有效方法。     

末段多层反导作战的任务分解

任务分解是末段多层反导任务规划的基础和前提。为有效提高任务的执行效率,界定了作战任务分解的基本概念,改进了任务分解的方法,提出了任务分解的基本原则,建立了作战任务属性数据表,明确了子任务的结构关系、优先顺序和资源需求。任务分解进一步明晰和细化了反导作战任务,可降低决策的复杂性,提高作战资源的利用效率。