基于贝叶斯原理的放大转发中继联合信道估计

在贝叶斯原理的框架下,依据放大转发中继联合信道等价于两段瑞利信道相叠加的特征,将其概率密度分布这一先验知识与接收端的训练序列相结合,得到了最小均方和最大后验两种估计方法。由于两种方法的准确贝叶斯CRB难以求解获得闭合表达式,从最大熵原理出发,结合复高斯分布性质,推导了MLE准则下的CRB相对应的近似贝叶斯CRB,以衡量不同方法的估计精度。仿真结果表明相比于原有的MLE方法,最大后验估计方法在低信噪比下性能改善明显。     

考虑仿真可信度的舰炮虚拟校射

为利用仿真模型在有限校射样本的条件下对校射补偿量进行合理估计,对考虑仿真可信度的舰炮虚拟校射方法进行了研究。对自适应加权贝叶斯估计方法进行了研究,一方面对仿真先验可信度的计算方法进行了分析,另一方面对考虑先验可信度的自适应加权贝叶斯估计算法进行了研究。在此基础上,结合舰炮虚拟校射的原理和需求,建立了舰炮虚拟校射诸元误差自适应加权贝叶斯估计模型。仿真验证表明:自适应加权贝叶斯估计方法能够利用试验数据对仿真模型的可信度进行有效验证并进一步实现对目标分布的有效估计;所设计的校射方法能够综合利用仿真模型和校射样本的优势,实现对诸元误差的合理估计,达到有效提高校射精度的目的。     

FPGA在程控数字交换机中的应用研究

针对现有程控数字交换机大多采用传统搭积木式(即用器件搭成电路板)的设计方法,提出用现场可编程门阵列(FPGA)技术设计的新思路,并通过VHDL语言设计给出了仿真结果,结果表明,用FPGA设计的数字程控交换模块具有硬件结构简单、性能良好、功能易于升级等优点.     

Bidirectional parallel multi-branch convolution feature pyramid network for target detection in aerial images of swarm UAVs

In this paper, based on a bidirectional parallel multi-branch feature pyramid network (BPMFPN), a novel one-stage object detector called BPMFPN Det is proposed for real-time detection of ground multi-scale targets by swarm unmanned aerial vehicles (UAVs). First, the bidirectional parallel multi-branch convolution modules are used to construct the feature pyramid to enhance the feature expression abilities of different scale feature layers. Next, the feature pyramid is integrated into the single-stage object detection framework to ensure real-time performance. In order to validate the effectiveness of the proposed algorithm, experiments are conducted on four datasets. For the PASCAL VOC dataset, the proposed algorithm achieves the mean average precision (mAP) of 85.4 on the VOC 2007 test set. With regard to the detection in optical remote sensing (DIOR) dataset, the proposed algorithm achieves 73.9 mAP. For vehicle detection in aerial imagery (VEDAI) dataset, the detection accuracy of small land vehicle (slv) targets reaches 97.4 mAP. For unmanned aerial vehicle detection and tracking (UAVDT) dataset, the proposed BPMFPN Det achieves the mAP of 48.75. Compared with the previous state-of-the-art methods, the results obtained by the proposed algorithm are more competitive. The experimental results demonstrate that the proposed algorithm can effectively solve the problem of real-time detection of ground multi-scale targets in aerial images of swarm UAVs.     

浅析两宋时期广南西路的边防战略地位——以邕州区域为中心

本文专门探讨两宋时期的广南西路在边防战略地位上的重要性,从战略地位、历史沿革、军事政策、边贸活动、兵力部署、晚宋时期的蒙宋战争几个角度,分析广西南路如何从蛮荒未开的化外之地,变成南宋政府的门户。为使焦点集中,以邕州区域为重心,说明邕州区域在西南边防中的重要性,进一步明确当时广南西路在边防战略地位上的重要性与其执行情形。     

Optimal joint preventive maintenance and production policies

We study joint preventive maintenance (PM) and production policies for an unreliable production‐inventory system in which maintenance/repair times are non‐negligible and stochastic. A joint policy decides (a) whether or not to perform PM and (b) if PM is not performed, then how much to produce. We consider a discrete‐time system, formulating the problem as a Markov decision process (MDP) model. The focus of the work is on the structural properties of optimal joint policies, given the system state comprised of the system's age and the inventory level. Although our analysis indicates that the structure of optimal joint policies is very complex in general, we are able to characterize several properties regarding PM and production, including optimal production/maintenance actions under backlogging and high inventory levels, and conditions under which the PM portion of the joint policy has a control‐limit structure. In further special cases, such as when PM set‐up costs are negligible compared to PM times, we are able to establish some additional structural properties. © 2005 Wiley Periodicals, Inc. Naval Research Logistics, 2005.     

粘弹性界面裂纹相似界面单元聚缩解

提出了粘弹性界面裂纹分析的相似界面单元聚缩解法。该方法在裂纹尖端附近划分相似界面单元,多层相似单元形成一个子结构;然后利用相似界面单元具有类似刚度矩阵的特点,将子结构内的大量自由度聚缩后再求解。作为算例,求解了双粘弹性材料和弹—粘弹性材料矩形板单边裂纹的拉伸问题。     

如何在课程教学中培养学员的素质和能力

如何实施素质教育是教育改革中的重要课题,本文根据教学实际,结合教学过程和教学内容对学员进行学习指导,提出培养学员素质和能力的途径。     

基于 Petri 网的决策组织结构设计

决策组织设计的首要问题是如何获得可行的组织结构。决策组织作为典型的分布式智能系统,利用Ｐｅｔｒｉ网生成其可行的组织结构是极广泛采用的方法,并已取得很多成果。该文是对这一领域的过去、现在和未来的综述。