基于贝叶斯混合源分离方法的声纳探测误差模型

声纳的探测误差模型是声纳仿真的核心技术。针对现有的声纳误差白噪声模型仿真逼真度低的问题,提出了基于贝叶斯混合源分离方法,建立了声纳的探测误差模型,提高了声纳误差模型的性能。与传统的白噪声仿真方法相比,基于贝叶斯混合源分离方法的声纳误差仿真模型具有较好的逼真度,可以有效地对声纳探测误差进行建模和预测。     

Optimization of buckling load for laminated composite plates using adaptive Kriging-improved PSO: A novel hybrid intelligent method

An effective hybrid optimization method is proposed by integrating an adaptive Kriging (A-Kriging) into an improved partial swarm optimization algorithm (IPSO) to give a so-called A-Kriging-IPSO for maxi-mizing the buckling load of laminated composite plates (LCPs) under uniaxial and biaxial compressions. In this method, a novel iterative adaptive Kriging model, which is structured using two training sample sets as active and adaptive points, is utilized to directly predict the buckling load of the LCPs and to improve the efficiency of the optimization process. The active points are selected from the initial data set while the adaptive points are generated using the radial random-based convex samples. The cell-based smoothed discrete shear gap method (CS-DSG3) is employed to analyze the buckling behavior of the LCPs to provide the response of adaptive and input data sets. The buckling load of the LCPs is maximized by utilizing the IPSO algorithm. To demonstrate the efficiency and accuracy of the proposed methodology, the LCPs with different layers (2, 3, 4, and 10 layers), boundary conditions, aspect ratios and load patterns (biaxial and uniaxial loads) are investigated. The results obtained by proposed method are in good agreement with the literature results, but with less computational burden. By applying adaptive radial Kriging model, the accurate optimal results-based predictions of the buckling load are obtained for the studied LCPs.     

基于贝叶斯网络分类器的雷达辐射源识别方法

雷达辐射源识别是电子对抗中的重要组成部分.贝叶斯网络分类器建立在坚实的理论基础之上,具有较为优秀的分类性能,而且能够有效地处理不确定性问题,重点研究了如何利用贝叶斯网络分类器进行雷达辐射源识别,并通过仿真实验对朴素贝叶斯分类器及其扩展方法进行了分析比较.实验结果表明,与基于概率近似准则的方法相比,基于分类准确率提高准则的扩展树生成方法具有更为优秀的分类性能.     

油库地面油罐消防虚拟现实系统的研究

主要研究地面油罐消防场景可视化在微机上的实现。介绍了虚拟现实系统开发平台的选择;研究了虚拟现实系统中高级建模技术:通过编程实现3DS三维模型在OpenGL中的调用;利用Biuboard技术增强了图形的真实感;运用粒子系统建模技术,实现了场景中火焰、烟、消防水束的绘制。最后,给出了捕捉的不同角度的两帧灭火场景效果图。     

空间双体系绳系统展开阶段末端星姿态动力学分析

为了研究空间系绳系统展开过程中末端星的姿态运动,采用第二类拉格朗日方程建立系统展开及末端星角运动的数学模型,分析展开阶段末端星的姿态动力学特性。建模时将系绳末端连接的母星与子星视为尺寸不可忽略的刚体,且母星质量远大于子星质量,系绳视为有质量的刚性杆。利用该数学模型可以分析系绳系统的展开过程,研究影响末端星姿态运动的主要因素,包括姿态角初始扰动以及末端星动/静不对称性。仿真结果表明,系绳展开时末端星姿态角初始扰动及动静不对称性可能会导致姿态角失稳,出现系绳缠绕星体的情况。仿真结果可以为展开阶段末端星姿态控制提供参考。     

突发重大疫情风险管理支撑方法研究【专题】

突发重大疫情后,科学的风险管理方法可为有效规避和控制风险提供有力支撑。在突发重大疫情风险管理中,风险识别是基础,风险评估是核心,风险控制是目的。本文系统梳理与分析了风险管理中的常用方法,包括风险识别中的现场勘查法、事故树分析法、过程回溯法、专家认证法和案例分析法等5种方法,风险评估中的风险坐标图法、关键风险指标法、蒙特卡罗法、因果关系法和综合评价法等5种方法,以及风险控制决策中的成本收益决策法、决策树法和损失期望值决策法等3种方法,并对每种方法如何在此次由新型冠状病毒引发的突发重大疫情中实践应用进行了举例说明,可为今后在应对突发重大疫情时进行科学风险识别、有效风险评估和精准风险控制决策提供借鉴与参考。     

Adaptive random search for continuous simulation optimization

We present, analyze, and compare three random search methods for solving stochastic optimization problems with uncountable feasible regions. Our adaptive search with resampling (ASR) approach is a framework for designing provably convergent algorithms that are adaptive and may consequently involve local search. The deterministic and stochastic shrinking ball (DSB and SSB) approaches are also convergent, but they are based on pure random search with the only difference being the estimator of the optimal solution [the DSB method was originally proposed and analyzed by Baumert and Smith]. The three methods use different techniques to reduce the effects of noise in the estimated objective function values. Our ASR method achieves this goal through resampling of already sampled points, whereas the DSB and SSB approaches address it by averaging observations in balls that shrink with time. We present conditions under which the three methods are convergent, both in probability and almost surely, and provide a limited computational study aimed at comparing the methods. Although further investigation is needed, our numerical results suggest that the ASR approach is promising, especially for difficult problems where the probability of identifying good solutions using pure random search is small. © 2010 Wiley Periodicals, Inc. Naval Research Logistics, 2010     

计算机课程双语教学实践探讨

计算机双语教学是有效提高学生计算机水平和英语应用能力的一种教学方式,在教学实践中体会计算机学科开展双语教学的优越性,掌握实施方案和管理方法,改变计算机双语教学的授课方式。     

保障党员民主权利与党内民主的当前使命

党员的主体地位在本质上就是党员的民主权利。党员在党内当家做主,有效行使民主权利是党内民主的本质与核心,也是党员主体地位的本质与核心。党的十七大以来,党内民主业已成为党的建设的主旋律,全面推进党的建设新的伟大工程中当前时代新课题就是要回答“发展什么样的党内民主,怎样发展党内民主”这一时代新课题。而如何实现党员的主体地位,切实保障党员的民主权力,也H益成为党内民主建设的核心。发展党内民主,切实保障党员民主权利,从主观方面来看需要重视对党员民主素质的培养与提高,从客观方面来看需要着重于制度的精细化建设,在此基础上结合党员民主权利授予与行使过程这一载体,在党内决策、执行、监督各项“权力”运行过程中,确保党员民主权利的有效行使与主体地位的充分体现。     

武警院校后勤教学贯彻落实科学发展观之思考

贯彻落实科学发展观是当今社会发展的主题。要把科学发展观贯穿于武警院校后勤教学全过程,必须转变教学观念,创新教学思路;按照教学要求,完善教学设施,改进教学方法与手段;大胆进行教学内容改革,完善教学体系;加强教员队伍建设,奠定优质课教学基础。