软件可靠性评测的多因素决策模型

提出了一种利用软件生命周期过程中影响软件可靠性的软件质量特性进行软件可靠性评测的方法.从软件失效的机理出发,分析并提取了刻画软件可靠性各个方面的因素,同时借助模糊分析及专家系统的理论对软件可靠性因素进行了定量的划分和描述.针对软件可靠性评测的多因素决策问题,提出了一种基于随机森林的软件可靠性评测模型.通过蒙特卡罗模拟仿真建立了各个可靠性因素的概率模型以获得评测样本数据集,并在此数据集上对所提出的评测模型进行了评测和分析.实验结果表明,所提出的方法能够对软件可靠性进行准确的评测,且不依赖于特定的可靠性因素的先验概率,显著提高了软件可靠性的评测性能.同时验证了该方法能够克服小样本集上易出现的过拟合及表现力差的问题,具有较好的稳定性和鲁棒性.     

IMS接入网关智能路由

在数字电话交换系统中设计IMS接入网关以解决目前将语音应用接入到CM-IMS网络中等问题,其中设计接入网关的智能路由支持在IP或TDM中继故障后自动重选,根据实际需求配置中继选路的策略以达到局间通信的可靠性和费用最低的要求。介绍了IMS接入网关的应用及研究现状,阐述Asterisk的具体情况,描述了IMS接入网关智能路由的功能,并给出智能路由的详细设计,路由的属性及数据结构的定义,最后结合 Asterisk 开源项目,实现了智能路由的功能,通过实验成功验证了智能路由按费率、优先级、轮转策略选择中继及号码变换的功能,达到了通信的可靠性及低费用的要求。     

一种LuGre摩擦模型自适应补偿的分析及仿真

介绍一种降低低速转台伺服系统在转动过程中由于摩擦因数影响转动精度的方法。在低速转台转动的过程中由于摩擦力等的影响,转台的速度、位置都会发生偏差,所以在转台系统上引入摩擦控制补偿。利用公式推理,通过与理论值对比,发现自适应摩擦补偿方式与传统摩擦补偿方式相比,其跟踪误差大大降低,能有效抑制摩擦干扰对伺服系统的不利影响。进行基于MATLAB环境下的仿真效果。     

基于激光雷达的大兴安岭典型森林生物量制图技术研究

森林生物量作为森林生态系统基本的数量表征,表明了森林的经营水平和开发利用价值,并能反映其与环境在物质循环和能量流动方面的复杂关系。同时,森林生物量也是林业问题和生态问题研究的基础。以内蒙古大兴安岭国家野外生态站为研究区域,通过对机载激光雷达(LiDAR)点云数据的预处理,利用计算机编程提取LiDAR点云数据的结构参数,以植被分位数高度变量与密度变量为自变量,结合地面调查数据,建立生物量与LiDAR结构参数的回归模型(决定系数为0.69,均方根误差为0.34)。运用IDL编程对LiDAR点云块数据进行运算并生成分辨率为20m×20m的栅格图像,拼接后得到整个区域的地上生物量分布图,对生成的地上生物量分布图进行验证的R2为0.78,RMSE为23.09t/hm2,平均估测精度达83%。     

基于结构组稀疏表示的遥感图像融合

目的 稀疏表示在遥感图像融合上取得引人注目的良好效果,但由于经典稀疏表示没有考虑图像块与块之间的相似性,导致求解出的稀疏系数不够准确及字典学习的计算复杂度高。为提高稀疏表示遥感图像融合算法的效果和快速性,提出一种基于结构组稀疏表示的遥感图像融合方法。方法 首先,将相似图像块组成结构组,再通过组稀疏表示算法分别计算亮度分量和全色图像的自适应组字典和组稀疏系数;然后,根据绝对值最大规则进行全色图像稀疏系数的部分替换得到新的稀疏系数,利用全色图像的组字典和新的稀疏系数重构出高空间分辨率亮度图像;最后,应用通用分量替换（GCOS）框架计算融合后的高分辨率多光谱图像。结果 针对3组不同类型遥感图像的全色图像和多光谱图像分别进行了退化和未退化遥感融合实验,实验结果表明：在退化融合实验中,本文方法的相关系数、均方根误差、相对全局融合误差、通用图像质量评价指标和光谱角等评价指标比传统的融合算法更优越,其中相对全局融合误差分别是2.326 1、1.888 5和1.816 8均远低于传统融合算法;在未退化融合实验中,除了在绿色植物融合效果上略差于AWLP（additive wavelet luminance proportional）方法外,其他融合结果仍占有优势。与经典稀疏表示方法相比,由于字典学习的优越性,计算复杂度上要远低于经典稀疏表示的遥感图像融合算法。结论 本文算法更能保持图像的光谱特性和空间信息,适用于不同类型遥感图像的全色图像和多光谱图像融合。     

A study of 3D cover glass design that improves handheld device drop reliability

Cover glass in commercial handheld devices is now evolving from flat (2D) to curved (3D) shapes. For example, some commercial devices have utilized sled‐shape cover glass, 1 which partially covers long edges of the device. According to the patents published by key handheld manufacturers, 2 , 3 we can expect more variety of 3D shaped cover glass for handheld devices in the market. In this study, we have focused on the reliability of 3D cover glass when it is dropped to a rigid surface. The key parameters under study are the corner/edge bend radius and angle of the cover glass, which determines the 3D shape of the cover glass. To achieve this goal, we developed a finite element model to simulate the drop 4 - 13 of a handheld device with 3D‐shaped glass. The model uses explicit algorithm to simulate the high speed impact on the device during the drop test. The glass performance was evaluated based on contact force between the glass and the ground and maximum principal stress in the glass. We showed that to avoid severe damage because of first impact between the glass and the ground, the bend angle of 3D glass has to be in the range between 0 and 45°. For drop angles of 45° and higher, with the proposed glass bend angle, the impact can be taken over by the edge of the back cover of the device. In addition, we showed that optimum glass bend radius is in the range of 3.8 mm and larger. This is required to reduce stress in glass because of impact. The approach and conclusions from the current study can serve as a general guideline to improve the 3D cover glass reliability of a handheld device.     

Adaptive chatter mitigation control for machining processes with input saturations

Chatter is an unstable nonlinear dynamical phenomenon often encountered in machining operations because of the self‐excitation mechanism, which may lead to overcut or rapid tool wear, and hence, greatly influence the surface quality and productivity in milling operations. Recent years have witnessed an increasing industrial demand of high quality and high efficiency machining. This paper hereby develops a constrained active adaptive control method to mitigate the chatter dynamics with input saturations. To guarantee the feasibility of the proposed approach, moderate stable conditions of the closed‐loop system are afterwards derived by using the LaSalle–Yoshizawa theorem as well. Finally, numerical simulations are conducted to show the substantially enlarged stable region in the Lobe Diagram. Thus, the method can be expected to improve the efficiency of milling processes. Copyright © 2015 John Wiley & Sons, Ltd.     

Re-ranking for microblog retrieval via multiple graph model

As a new information sharing platform, microblog has got explosive growth in recent years and has become an important source for public opinion mining. A variety of information like the reviews of brands/products or the trends of events can be socially sensed from such kind of data. However, it is still a challenging task to search relevant microblogs as the user generated content tends to be mixed with noise. Besides short text, image is getting popular in microblogs due to its power in visual information conveying. In this paper, we leverage textual and visual cues integratedly and propose a general re-ranking approach for microblog retrieval via multi-graph semi-supervised learning. We argue that the different types of information in microblogs correspond to different relationships among microblogs and each type of the relationship can be represented as a similarity graph. We then integrate different graphs into a unified framework and solve them simultaneously for microblog re-ranking. Extensive experiments on a recently published Brand-Social-Net dataset showed the effectiveness of the proposed method and marginal improvements have been achieved in accuracy as compared to the single graph model based method.