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。     

多项式输出中相关变量的结构贡献和相关贡献分析

以二次不含交叉项的多项式为例,解析推导了正态相关输入变量对输出响应量方差贡献的结构贡献部分和相关贡献部分。通过算例验证了解析结果的正确性。将所研究的指标和已有的进行对比,归纳出结构贡献部分和相关贡献部分的侧重与统一。解析解可直接用于极限状态函数不超过两次且不含交叉项的结构和相关贡献的识别,为其他新的数值算法提供了参考对照。     

航母编队远程防空作战中预警机巡逻区域大小设置

提供了一种航母编队远程防空作战中预警机巡逻区域大小配置的优化方法。通过对航母编队防空区域划分,提出了大小配置的基本要求。以预警机平飞长度、转弯半径和巡逻速度为因素,以目标发现概率、覆盖率和目标发现距离作为评价指标对试验结果进行直观分析,得到对评价指标影响最显著的因素为平飞长度,进而采用正交设计、变步长搜索迭代的方法得到巡逻空域大小的最优布置方案。     

Fulfillment by Amazon versus fulfillment by seller: An interpretable risk-adjusted fulfillment model

With dual-channel choices, E-retailers fulfill their demands by either the inventory stored in third-party distribution centers, or by in-house inventory. In this article, using data from a wedding gown E-retailer in China, we analyze the differences between two fulfillment choices—fulfillment by Amazon (FBA) and fulfillment by seller (FBS). In particular, we want to understand the impact of FBA that will bring to sales and profit, compared to FBS, and how the impact is related to product features such as sizes and colors. We develop a risk-adjusted fulfillment model to address this problem, where the E-retailer's risk attitude to FBA is incorporated. We denote the profit gaps between FBA and FBS as the rewards for this E-retailer fulfilling products using FBA, our goal is to maximize the E-retailer's total rewards using predictive analytics. We adopt the generalized linear model to predict the expected rewards, while controlling for the variability of the reward distribution. We apply our model on a set of real data, and develop an explicit decision rule that can be easily implemented in practice. The numerical experiments show that our interpretable decision rule can improve the E-retailer's total rewards by more than 35%.     

超声波频率与功率对三合二洗消液抗冻性能影响的研究

针对严寒条件下三合二洗消液防冻结问题,研究采用向消毒液中释放大功率超声波的方法,较好地解决了三合二消毒液在低温时出现沉淀、冻结的问题．     

Fabrication and analysis of TIG welding-brazing butt joints of in-situ TiB2/7050 composite and TA2

Lightweight hybrid structures of Al MMCs and titanium alloy dissimilar materials have great prospect in the defence industry application. So, it is necessary to join Al MMCs with Ti metal to achieve this structural design. In this work, in-situ TiB2/7050 composite and TA2 were firstly attempted to join by TIG welding-brazing technique. The result was that the intact welding-brazing butt joint was successfully fabricated. The joint presents dual characteristics, being a brazing on TA2 side and a welding on TiB2/7050 side. At brazing joint side, ER4043 filler metal effectively wets on TA2 under TIG heating condition, and a continuous interfacial reaction layer with 1—3μm is formed at welded metal/TA2 interface. The whole interfacial reaction layers are composed of Ti(AlSi)3 intermetallic compounds (IMCs), but their morphologies at the different regions present obvious distinguishes. The microhardness of the reaction layers is as much as 141—190 HV. At welding joints side, the fusion zone appears the equixaed crystal structure, and the grain sizes are much smaller than those of welded metal, which is attributed to the effect of TiB2 particulates from the melted TiB2/7050 on acceleration formation and inhibiting growth for the new crystal nucleus. The tensile test results show that average tensile strength of the optimal welding-brazing joint is able to achieve 138 MPa. The failure of the tensile joint occurs by quasi-cleavage pattern, and the cracks initiate from the IMCs layer at the groove surface of TA2 and propagate into the welded metal.     

Adaptive subspace detection based on two-step dimension reduction in the underwater waveguide

In the underwater waveguide, the conventional adaptive subspace detector (ASD), derived by using the generalized likelihood ratio test (GLRT) theory, suffers from a significant degradation in detection per-formance when the samplings of training data are deficient. This paper proposes a dimension-reduced approach to alleviate this problem. The dimension reduction includes two steps: firstly, the full array is divided into several subarrays; secondly, the test data and the training data at each subarray are transformed into the modal domain from the hydrophone domain. Then the modal-domain test data and training data at each subarray are processed to formulate the subarray statistic by using the GLRT theory. The final test statistic of the dimension-reduced ASD (DR-ASD) is obtained by summing all the subarray statistics. After the dimension reduction, the unknown parameters can be estimated more accurately so the DR-ASD achieves a better detection performance than the ASD. In order to achieve the optimal detection performance, the processing gain of the DR-ASD is deduced to choose a proper number of subarrays. Simulation experiments verify the improved detection performance of the DR-ASD compared with the ASD.     

德文版液压系统模拟仿真软件的汉化方法

介绍了德文版的 Fluid SIM-H液压系统模拟仿真软件 ,并介绍了应用 Exe Scope、Help Deco、Help Work和 Create Install等工具软件对德文版软件进行汉化的基本方法     

基于热物理仿真分析的红外点目标特征提取与识别

根据弹道中段空间目标和诱饵的表面温度分布规律，从热物理的角度分析了目标和诱饵的红外光谱辐射特性，指出了弹道中段目标和诱饵红外辐射特性的本质差别，并据此提出了红外目标识别中的特征基函数，用特征基函数构造红外点目标识别的四维特征矢量。仿真实验表明，这一特征矢量用于红外点目标识别非常成功。     

双基地两坐标雷达空间目标定位算法

本文提出了双基地雷达单独使用发射／接收站（Ｔ／Ｒ站）的目标斜距和方位角信息或接收站（Ｒ站）的目标距离和方位角信息分别对空中目标的二维定位算法，并给出了定位精度的分析方法。最后，通过计算机仿真讨论了算法的定位性能。