基于Squeezer算法的大规模矩阵聚类分析

对Squeezer算法进行分析研究,在定义2个矩阵之间距离的基础上,提出了一种改进的Squeezer算法,用于对维数相同的大规模矩阵进行聚类分析.改进的算法在设定距离阈值的基础上,对类别的半径设定阈值来控制分类精度,给出具体的算法步骤来实现针对大量矩阵的聚类分析.对聚类后所得矩阵集合,给出集合质心和半径的定义,来描述矩阵集合的特性.所提算法能使聚类结果避免受到链条效应的影响而使类不断扩容,从而导致聚类精度下降的问题.仿真实验分析验证了所提算法具有良好的聚类效果和适用性.     

基于辐射源参数信息的无源数据关联问题研究

针对传统无源数据关联算法存在算法复杂、计算量大等缺点,提出了一个能够反映辐射源特征参数信息与目标运动状态参数信息相结合的无源关联算法流程。该算法首先定义基于目标运动状态参数和辐射源特征参数的多维可变跟踪门,然后运用模糊多门限思想,将测量与目标的关联概率来替代概率关联算法中可行联合事件概率的计算。仿真结果表明该算法计算量小,跟踪准确度高,尤其适用于复杂环境下近距离、交叉运动目标等典型情况。     

Frictional behavior during cold ring compression process of aluminum alloy 5052

The friction is the considerable boundary condition in bulk metal forming. In this paper, the ring compression test was used to evaluate the friction coefficient and factor in Coulomb friction model and Tresca friction model for the plastic deformation of aluminum alloy AA5052. The micro-macro analysis method combining surface morphology and micro-texture was used to explore the friction behaviors in AA5052 cold forming process. In general, the magnitude (μ or m) of friction changes before and after a deformation threshold during ring compression. The maximum change rate of the magnitude (μ or m) before and after the deformation threshold is close to 18.5% under the present experimental conditions, and the change rate decreases with increasing loading speed. The lubrication using MoS₂ is better than that using oil at lower speeds (0.15 mm/s, 1.5 mm/s), but the lubrications for MoS₂ and oil are similar at higher speeds (15 mm/s). The surface roughness, three-dimensional topography, and surface texture of compressed ring have a sudden change around the deformation threshold, which deviate from the previous evolution trend. The increased friction after deformation threshold also promotes the formation of sufficient shear strain layer in the subsurface plane of the compressed ring, and then it hinders the formation of the typical deformation textures with β-oriented line and promotes the appearance of shear textures such as $\left\{\text{001}\right\}〈\text{110}〉$, $\left\{\text{111}\right\}〈\mathit{uvw}〉$ and $\left\{\mathit{hkl}\right\}〈110〉$ textures.     

铝合金弹丸超高速撞击玄武岩纤维布损伤分析

高强度、高模量纤维防护材料是航天器空间碎片超高速撞击防护结构材料的发展趋势之一。开展弹丸超高速撞击高强纤维材料时的损伤分析是空间碎片防护结构研究开发设计的重要环节。玄武岩纤维是近年来受到人们关注的一种高强度、高模量纤维。文章对铝合金弹丸超高速撞击玄武岩纤维布的损伤特性进行了分析研究,观察到了弹丸前部的损伤形态。根据试验结果拟合得到了铝合金弹丸后部产生初始破坏的临界破碎速度方程。分析表明:在试验范围内,铝合金弹丸撞击玄武岩纤维布的临界破碎速度低于撞击铝合金板的,即玄武岩纤维布对铝合金弹丸的破碎能力优于铝合金板。     

一种新的无人机监控图像实时目标识别算法

提出一种新的无人机监控图像实时目标识别算法。首先将获取的无人机监控图像应用自适应阈值分割将其转换为二值图像。对二值图像进行形态学处理,定位潜在目标出现的位置。最后对潜在目标区域再次应用局部自适应阈值分割获取目标,同时给出每个目标的图像坐标位置。飞行试验表明该算法保证实时性的情况下,有较高的识别正确率。     

一种基于相关的分层匹配与目标跟踪方法

提出了一种基于相关的自适应阈值区域匹配、匹配区域分层加权和模板自适应更新的目标跟踪方法,该方法能在序列图像中自适应地寻找最佳的动态阈值与更新模板;采用区域分层加权后经相关图形分析及实验验证,能使相关的目标最佳匹配区域更小,匹配中心更加突出且易于匹配,从而缩小了匹配范围,提高了匹配精度。同时提出了一种区域分层快速搜索算法,该算法能较大地提高匹配速度。实验结果表明该方法匹配精度高、匹配速度快、能克服不同光强背景及噪声干扰等影响,具有较强的实用价值。     

一种限定虚警概率的PN码捕获自适应门限估计算法

提出了一种限定虚警概率的PN码捕获的自适应门限估计算法,首先在对判决变量的统计特性分析的基础上,计算出了判决门限的有偏估计量;然后分析了估计偏差对捕获系统检测概率和虚警概率的影响;最后,计算机仿真表明,在限定虚警概率的前提下,捕获系统在高斯白噪声信道和瑞利衰落信道下具有较高的检测概率,自适应门限的估计方法易于实现,且适合工程应用。     

小子样下导电滑环磨损失效仿真的可靠性评估研究

针对滑环失效数据较少的特点，构建导电滑环磨损失效模型，结合小子样数据处理法和随机性理论对滑环摩擦副进行可靠性评估研究。首先，考虑滑环摩擦副在热力电多场耦合环境下的特点，应用传热学、赫兹理论、能量守恒定律量化多场耦合对滑环摩擦副的影响，再结合Archard模型理论构建导电滑环摩擦副磨损失效模型。然后，采用小子样数据的虚拟增广法和Boot-strap法对仿真数据进行扩展，根据滑环磨损特征量分布规律分别得到随机失效阈值与固定阈值下的可靠度函数曲线，以某厂制造的导电滑环为例，进行滑环摩擦副可靠性评估，实验结果表明随机失效阈值下的可靠度与实际更接近。研究表明所构建的磨损模型和方法可以有效地对导电滑环进行可靠性评估，避免了传统的必须依赖大量试验数据的方法，解决了缺少滑环试验数据而难以进行可靠性评估的问题，填补了导电滑环可靠性研究的空白。     

IP广域网接口链路特性分析与研究

在分析广域网综合性能指标——实时性和可靠性的基础上，将该指标分解为广域网接口协议开销特性、链路时延差门限特性和链路中断检测特性，并分析总结了广域网接口类型及相关链路协议特点。通过测试吞吐量和丢包率的方法，对华为3种型号的路由器进行了接口协议开销特性、时延差门限特性和链路中断检测特性测试。实验结果表明，不同型号路由器、不同接口类型、不同链路协议对广域网综合性能的影响存在不可预知的差异。在此基础上对比分析了基于链路层状态和基于网络层状态中断检测特性的差异，实验数据为构建、评估与优化广域网性能提供了参考依据。     

Threshold Selection Method Based on Reciprocal Gray Entropy and Artificial Bee Colony Optimization

Since the logarithmic form of Shannon entropy has the drawback of undefined value at zero points,and most existing threshold selection methods only depend on the probability information,ignoring the within-class uniformity of gray level,a method of reciprocal gray entropy threshold selection is proposed based on two-dimensional（2-D）histogram region oblique division and artificial bee colony（ABC）optimization.Firstly,the definition of reciprocal gray entropy is introduced.Then on the basis of one-dimensional（1-D）method,2-D threshold selection criterion function based on reciprocal gray entropy with histogram oblique division is derived.To accelerate the progress of searching the optimal threshold,the recently proposed ABC optimization algorithm is adopted.The proposed method not only avoids the undefined value points in Shannon entropy,but also achieves high accuracy and anti-noise performance due to reasonable 2-D histogram region division and the consideration of within-class uniformity of gray level.A large number of experimental results show that,compared with the maximum Shannon entropy method with 2-D histogram oblique division and the reciprocal entropy method with 2-D histogram oblique division based on niche chaotic mutation particle swarm optimization（NCPSO）,the proposed method can achieve better segmentation results and can satisfy the requirement of real-time processing.