L1-norm based null space discriminant analysis

Multimedia Tools and Applications - Null space based linear discriminant analysis (NSLDA) is a well-known feature extraction method, which can make use of the most discriminant information in the...     

Indistinguishability of pure orthogonal product states by LOCC

We construct two sets of incomplete and extendible quantum pure orthogonal product states (POPS) in general bipartite high-dimensional quantum systems, which are all indistinguishable by local operations and classical communication. The first set of POPS is composed of two parts which are \(\mathcal {C}^m\otimes \mathcal {C}^{n_1}\) with \(5\le m\le n_1\) and \(\mathcal {C}^m\otimes \mathcal {C}^{n_2}\) with \(5\le m \le n_2\), where \(n_1\) is odd and \(n_2\) is even. The second one is in \(\mathcal {C}^m\otimes \mathcal {C}^n\) \((m, n\ge 4)\). Some subsets of these two sets can be extended into complete sets that local indistinguishability can be decided by noncommutativity which quantifies the quantumness of a quantum ensemble. Our study shows quantum nonlocality without entanglement.     

Optimized design of sandwich panels for integral thermal protection systems

This paper proposes a new ITPS panel with special corrugated-core webs which are designed with cutouts for weight saving. The structural design problem was formulated with mass per unit area of the ITPS as the objective function and some functional requirements as constraints. We developed the optimizer fulfilling both thermal and structural functions for minimal areal density. The optimization problem was solved by interpolating the residual error of response surface approximation (RSA) with Radial Basis Function (RBF) to establish the improved RSA (IRSA). The 400 preliminary design points were obtained using Latin Hypercube Sampling method. The quadratic polynomial RSA of the ITPS sandwich panel performance was generated by the least squares method (LSM) based on finite element results and IRSA was used to optimize the constraints. Transient heat transfer, stress and buckling analyses were conducted using finite element method (FEM). Finally, a new ITPS panel with optimal dimensions was obtained. The optimization results show that the areal density of the new ITPS panel decreases by 26.27 % compared with the previous research, which proves the potential of this new design optimization method for the future spacecraft vehicles.     

Microstructural topology optimization of structural-acoustic coupled systems for minimizing sound pressure level

The aim of this paper is to present a microstructural topology optimization methodology for the structural-acoustic coupled system. In the structural-acoustic system, the structure is considered to be a thin composite plate composed of periodic uniform microstructures. The discrete design variables are used in the microstructural topology optimization, and the constitutive matrix is interpolated by the power-law scheme at the micro scale. The equivalent macro material properties of the microstructure are computed through the homogenization method. The design objective is to minimize the sound pressure level (SPL) in an interior acoustic medium. The sensitivities of the SPL with respect to design variables are derived. The bi-directional evolutionary structural optimization (BESO) method is extended to solve the structural-acoustic coupled optimization problem to find the optimal material distribution of the microstructure. Numerical examples of a hexahedral box and an automobile passenger compartment are given to demonstrate the efficiency of the presented microstructural topology optimization method.     

基于排队论的UM-BUS总线性能建模与评估

UM-BUS总线是一种具有动态容错能力和远程穿透式访问能力的高速串行总线,其性能模型对UM-BUS的综合评估和优化设计具有重要意义。针对UM-BUS总线系统,提出基于排队论的性能评估的模型,该模型定性描述了总线上不同节点之间的数据流关系、数据包到达节点的特征以及在节点处等待处理的特性;定量分析了不同数据包在总线信道传输的最大延迟、最小延迟以及平均延迟。在MATLAB平台上测试了数据包在总线上的等待时间和传输时间。实验结果可以帮助设计者快速分析总线在实际应用系统中的特性并对其进行优化配置,提高总线的使用效率。     

HDFS中海量小文件合并与预取优化方法的研究

HDFS在存储海量文件时具有明显的优势, 但在存储小文件占绝大多数的海量文件时,HDFS单个NameNode的存储架构会导致其性能严重降低。为此,提出一种基于合并思想的方案,即将小文件合并为大文件,同时建立小文件到合并文件的映射关系,并将其存于HBase中。为了提高读取速度,建立了基于LRU的预取机制。实验表明,该方法能明显提高HDFS在处理海量文件时的整体性能。     

在中学排课问题中实用的模拟退火算法应用

针对中学排课问题,提出了一种分阶段的模拟退火算法解决方案.中学排课问题难点主要在于如何解决课表中存在的大量冲突以及如何优化课表.初始化随机生成一张带有冲突的课表,经过算法第一阶段,人工干预异化解结构,使课表可行;算法第二阶段引导性的改变课表结构使课表满足通用的软约束条件;算法第三阶段采用启发式随机邻域异化操作,变异课表,产生更优解.为了满足实际生产环境中对课表多元化的需求,在UI界面中提供可以手动调节课表机制.经过实验发现,改进后的模拟退火算法在解决中学排课问题时收敛速度更快,运行效率更高,并且在迭代次数较少的情况下,也能产生可行解.     

基于内容热度与节点介数的NDN网络缓存策略

缓存技术是数据命名网络（Named data networking,NDN）的关键技术之一. NDN传统的LCE缓存策略会造成较大的冗余. 改进的RCOne策略采用随机放置的方法,没有利用任何内容、节点信息,对网络缓存性能的提升有限. Betw策略只考虑到节点介数,导致高介数节点缓存更替频繁,当节点缓存容量远小于内容总量时,缓存性能下降. 为了解决这些问题,本文提出一种结合内容热度与节点介数的新型缓存策略HotBetw（Hot content placed on node with high Betweenness）,充分利用内容与节点信息选择最佳的位置放置缓存. 仿真实验表明相对于典型NDN缓存策略,HotBetw缓存策略在提高缓存命中率、降低平均跳数方面具有很好的效果.     

一种级联式微博情感分类器的构建方法

该文从统计学方法与机器学习的分类思想出发,对中文微博文本的情感类别进行研究。针对微博文本的特点,提出了一种级联式微博情感分类器模型,该模型首先构建基于情感词典和新浪表情符号词典的微博情感初级分类模型;然后根据基准词构建基于类别倾向相似度的二级分类模型,对初级模型未能确定情感类别的微博进行再次分类,并对初级模型的词典进行更新;最后采用朴素贝叶斯分类器构建三级分类模型,对以上还未确定情感类别的微博进行三级分类。通过与NLPCC2014微博情感分类评测参赛结果进行比较,说明了所提方法的有效性。     

基于Hough变换与最小二乘拟合的香烟小包拉线错牙检测方法

针对小盒香烟包装生产过程中经常出现外包装透明薄膜上没有拉线或拉线错牙等现象,提出一种基于图像处理技术的检测方法。首先,对烟包拉线图像进行边缘检测,获得拉线的轮廓;其次,利用Hough变换检测小盒拉线的上下边缘;当Hough变换无法完全找到拉线的上下边界时,采用最小二乘算法对左右两侧拉线弧进行圆拟合,最后根据计算出的拉线宽度或两圆心的垂直距离判断拉线是否错牙并计算出拉线错牙偏移量。实验结果表明所提方法能有效地检测出烟包拉线的错牙程度,且具有较好的鲁棒性和有效性。