Ordered mesoporous Pd/SnO2 synthesized by a nanocasting route for high hydrogen sensing performance

Ordered mesoporous SnO₂ and mesoporous Pd/SnO₂ have been successfully synthesized via nanocasting method using the hexagonal mesoporous SBA-15 as template. Two different procedures, impregnation technique and direct synthesis, were utilized for the doping of Pd in the mesoporous SnO₂. The results of small angle X-ray diffraction (SAXD), nitrogen adsorption–desorption and transmission electron microscopy (TEM) demonstrate that the SnO₂ and Pd/SnO₂ display ordered mesoporous structures and high surface areas. Wide angle X-ray diffraction (WAXD) and X-ray photoelectron spectroscopy (XPS) reveal tetragonal structure of SnO₂ and the existence of Pd element. The sensing properties of mesoporous SnO₂ and mesoporous Pd/SnO₂ for H₂ were detected. The sensor utilizing mesoporous Pd/SnO₂ via direct synthesis method exhibits excellent response and recovery behavior and much higher sensitivity to H₂, compared to those using mesoporous SnO₂ and mesoporous Pd/SnO₂ via impregnation technique. It is believed that its high gas sensing performance is derived from the large surface area, high activity and well dispersion of Pd additive, as well as high porosity, which lead to highly effective surface interaction between the target gas molecules and the surface active sites.     

有向无环图最小度生成树问题的一种近似算法

计算具有较小度的生成树是算法与复杂性研究的一个基本问题,同时在网络设计等领域具有重要应用.给定具有n个顶点的有向无环图G=(V,E)和根顶点r∈ V,最小度生成树问题欲求一棵以r为根的生成树T,使得在G的所有以r为根的生成树中T的最大度最小.给出该问题的一种迭代的多项式时间近似算法.该算法所求树的度不超过△*+1,其中△*为某一最优树的度.算法的时间复杂度为O(n2logn),其中n为顶点数目.算法没有运用过多的枚举,其实际运行时间要快得多.     

基于入度调整的结构化P2P网络拥塞控制算法

针对结构化对等网络中存在的由查询负载不均衡所导致的拥塞问题,提出一种基于动态入度调整的拥塞控制算法。算法根据节点查询负载的情况,动态判定出可能存在的热点,并将热点周围的节点组织起来,通过调整每个节点入连接的数量对负载进行调整。为了克服节点处理能力的异构性,算法将热点组中的节点进一步划分为多个能力组,并在能力组内和组间分别进行调整。模拟结果表明,该算法在处理突发流量的过程中可以有效地减少查询失败的次数,降低拥塞产生的影响。     

eMule协议的安全性研究

研究eMule协议在安全性设计方面所存在的缺陷和不足,指出eMule软件在用户隐私泄露、用户积分欺诈和恶意代码攻击3个方面对用户造成的风险,给出改进方案。针对eMule协议在Ed2k链接格式上的2个漏洞提出一种新的攻击方式,设计攻击流程,并进行模拟攻击实验,实验结果表明该攻击方式的成功率达到100％。     

Dual graph regularized NMF model for social event detection from Flickr data

In this work, we aim to discover real-world events from Flickr data by devising a three-stage event detection framework. In the first stage, a multimodal fusion (MF) model is designed to deal with the heterogeneous feature modalities possessed by the user-shared data, which is advantageous in computation complexity. In the second stage, a dual graph regularized non-negative matrix factorization (DGNMF) model is proposed to learn compact feature representations. DGNMF incorporates Laplacian regularization terms for the data graph and base graph into the objective, keeping the geometry structures underlying the data samples and dictionary bases simultaneously. In the third stage, hybrid clustering algorithms are applied seamlessly to discover event clusters. Extensive experiments conducted on the real-world dataset reveal the MF-DGNMF-based approaches outperform the baselines.     

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NS2的802.11效果异常现象仿真研究

在802.11 WLAN(Wireless Local Network)中,当一些无线节点的传输速率明显低于其他节点与AP(Access Point)间的传输速率时,将会使区域内所有节点的传输性能降低,这种现象称为效果异常(Performance Anomaly),Hyogon K等人在文献[6-7]中提出用改变封包容量和竞争窗口大小的方式来解决这个问题.文章通过在NS2网络仿真环境下,设计实验拓扑,编写性能分析脚本,对效果异常现象进行仿真并验证了上述两种方案能够有效缓解该现象并保持系统传输性能稳定.     

Prediction of rank deficiency in partition of unity-based methods with plane triangular or quadrilateral meshes

In the partition of unity (PU)-based methods, the global approximation is built by multiplying a partition of unity by local approximations. Within this framework, high-order approximations are achieved by directly adopting high-order polynomials as local approximations, and therefore nodes along sides or inside elements, which are usually adopted in the conventional finite element methods, are no more required. However, the PU-based approximation constructed in this way may suffer from rank deficiency due to the linear dependence of the global degrees of freedom. In this paper, the origin of the rank deficiency in the PU-based approximation space is first dissected at an element level, and then an approach to predict the rank deficiency for a mesh is proposed together with the principle of the increase of rank deficiency. Finally, examples are investigated to validate the present approach. The current work indicates such a fact that the rank deficiency is an unrelated issue to the nullity of the global matrix. It can be resolved in its own manner.     

交流阻抗法测定锂离子电池正极材料的导电率

采用交流阻抗法测定了3种锂离子电池正极材料LiCoO2,LiMn2O4和LiFePO4的电子导电率、离子导电率和材料电导率.结果表明,LiCoO2材料的电导率较高,含有聚阴离子基团LiFePO4材料的电子电导率和离子电导率均较低.     

中英文文本分类系统异同因素的探讨

论文介绍了文本分类技术的研究进展及发展方向,给出了中英文文本分类系统构建的一般模型和过程,分析总结了中英文文本分类过程中的异同,并介绍了针对这些异同因素常用的处理方法。