制造业IT生产力优化

分析了制造业企业在IT系统建设方面遇到的困境以及进行企业IT生产力优化的必要性,提出了企业进行IT生产力优化的基本方法体系,阐释了利用面向服务的架构(SOA)、开放组织架构框架(TOGAF)、ESB模式构建灵活稳健的企业IT架构的技术路线,并给出了针对制造业的解决方案参考模型。     

宽角扫描圆极化相控阵天线轴比的优化设计

文章推导了椭圆极化的分解表示方式，从理论上给出了优化天线轴比的方法。给出了几个实际天线的测试结果比较，验证了该方法的可行性。     

浅谈高级语言与FoxBASE＋的连接运行

本文介绍了高级语言与ＦｏｘＢＡＳＥ＋的数据交换和连接运行的几种基本方法。     

空间赛博战研究

赛博作为信息网络时代的产物,正在受到关注和重视。在阐述赛博空间和赛博战新概念的基础上,分析赛博空间和赛博战的特点。介绍了空间赛博战的概念和内涵,重点分析空间赛博战在暴露性、开放性、脆弱性和制约性等方面的特点,并对空间赛博战任务功能进行了分类描述,最后梳理空间赛博战的关键技术。     

旋翼着陆器在火星探测中的研究进展

旋翼着陆器是下一轮国际火星探测的重要发展方向.论文首先回顾了火星探测软着陆的发展概况,分析了旋翼着陆器的结构组成、火星探测工作原理及特点.其次,阐述了开展旋翼着陆器设计过程中所需的关键技术.     

电火花加工计算机辅助工艺过程设计系统

介绍电火花计算机辅助工艺过程设计系统（ＣＡＰＰＳ），用于为一个给定目标选择最佳操作。同时，还考虑了其它的会影响ＥＤＭ加工过程的加工方法（如铣削等）。系统的输入信息是在已有的ＣＡＤ信息的基础上产生的基于ＣＡＰＰ特征的工件描述。每个特征类对应于一个特定的一般工艺规程，并由系统对其进行评价，然后基于最低成本的原则，计算出最优工艺规程。同时还介绍了一种计算工时的通用方法。     

A non-local vectorial total variational model for multichannel SAR image speckle suppression

This paper aims at the multichannel synthetic aperture radar(SAR)image speckle reduction.This paper proposes a novel energy minimized regularization model for multichannel image denoising,which is an extension of the non-local total variational model for gray-scale image.It contains two terms,namely the vectorial data fidelity term and the non-local vectorial total variation term.The latter is constructed by high-dimensional non-local gradient that contains the structure information of the multichannel image.The existence and the uniqueness of the solution of the model are proved.A fixed point iterative algorithm is designed to acquire the solution of this model.The convergence property of this algorithm is proved as well.This model is applied to the multipolarimetric and multi-temporal RADARSAT-2 images despeckling.The result shows that this model performs better than the original vectorial total variational model on texture preserving.     

Flow separation control on swept wing with nanosecond pulse driven DBD plasma actuators

A 15° swept wing with dielectric barrier discharge plasma actuator is designed.Experimental study of flow separation control with nanosecond pulsed plasma actuation is performed at flow velocity up to 40 m/s. The effects of the actuation frequency and voltage on the aerodynamic performance of the swept wing are evaluated by the balanced force and pressure measurements in the wind tunnel. At last, the performances on separation flow control of the three types of actuators with plane and saw-toothed exposed electrodes are compared. The optimal actuation frequency for the flow separation control on the swept wing is detected, namely the reduced frequency is 0.775, which is different from 2-D airfoil separation control. There exists a threshold voltage for the low swept wing flow control. Before the threshold voltage, as the actuation voltage increases, the control effects become better. The maximum lift is increased by 23.1% with the drag decreased by 22.4% at 14°, compared with the base line. However, the best effects are obtained on actuator with plane exposed electrode in the low-speed experiment and the abilities of saw-toothed actuators are expected to be verified under high-speed conditions.     

微波光子技术在电子对抗中的应用

由于光子技术的宽带和低损耗优势,微波光子技术已经在电子对抗领域中尤其是在微波信号的产生、处理、控制及传输等方面引起了强烈关注.着重阐述了微波信号的光子方法产生及处理、光子微波滤波器、光真延时波束形成以及光学A/D模数转换等技术,最后给出了结论.     

A salient edges detection algorithm of multi-sensor images and its rapid calculation based on PFCM kernel clustering

Multi-sensor image matching based on salient edges has broad prospect in applications, but it is difficult to extract salient edges of real multi-sensor images with noises fast and accurately by using common algorithms. According to the analysis of the features of salient edges, a novel salient edges detection algorithm and its rapid calculation are proposed based on possibility fuzzy C-means （PFCM） kernel clustering using two-dimensional vectors composed of the values of gray and texture. PFCM clustering can overcome the shortcomings that fuzzy C-means （FCM） cluster- ing is sensitive to noises and possibility C-means （PCM） clustering tends to find identical clusters. On this basis, a method is proposed to improve real-time performance by compressing data sets based on the idea of data reduction in the field of mathematical analysis. In addition, the idea that kernel-space is linearly separable is used to enhance robustness further. Experimental results show that this method extracts salient edges for real multi-sensor images with noises more accurately than the algorithm based on force fields and the FCM algorithm; and the proposed method is on average about 56 times faster than the PFCM algorithm in real time and has better robustness.