网站数据相关内容提取功能的设计与研究

本文根据内容提取的相关知识,以及它们在用户浏览信息时的应用,提出了内容匹配的高效算法,重点研究提取信息时如何提高匹配精度。通过这种算法,系统预测用户可能感兴趣的文章,并按感兴趣的程度向用户提供内容导航,得到一个个性化的相关信息显示页面。     

A new result on the delay‐dependent stability of discrete systems with time‐varying delays

This paper proposes an improvement to the delay‐dependent stability of discrete systems with time‐varying delays. The approach is based on the observation that the positive definiteness of a chosen Lyapunov–Krasovskii functional does not necessarily require all the involved symmetric matrices to be positive definite, which has been overlooked in the literature. The derived delay‐dependent stability conditions are in terms of linear matrix inequalities. It is theoretically proved that our results are less conservative than the corresponding ones obtained by requiring the positive definiteness of all the symmetric matrices in a chosen Lyapunov–Krasovskii functional. The importance of the present approach is that a great number of delay‐dependent analysis and synthesis results obtained by the aforementioned requirement in the literature can be improved by the present approach without introducing any new decision variables. Copyright © 2013 John Wiley & Sons, Ltd.     

基于格的非交互式密钥交换协议

当前网络中广泛使用的交互式密钥交换协议,如SSL协议和TLS协议,由于密钥建立过程的通信量较大,不适合物联网中传感器等资源有限的轻型网络设备使用,因此提出一种基于格的非交互式密钥交换协议.文章基于格理论的环上带误差学习困难性问题,使用Freire等人给出的非交互式密钥交换协议形式化定义和安全模型对协议的安全性进行分析,通过攻击者与挑战者之间的博弈证明了协议的安全性.该协议具有抗量子攻击安全性,能够有效地提升物联网的通信安全.     

Effect of ambient wind on pressure wave generated by high-speed train entering a tunnel

Journal of Central South University - Using three-dimensional, unsteady N-S equations and k-ε turbulence model, the effect of ambient wind on the pressure wave generated by a high-speed train...     

Synchronization for linear singularly perturbed complex networks with coupling delays

This paper is concerned with the synchronization problem about linear singularly perturbed complex network system with coupling delay. The sufficient delay-dependent conditions for the synchronization of the network are established by introducing an equivalent network system with the Lyapunov stability theory. These conditions, which are formulated in terms of linear matrix inequalities, can be solved efficiently by the LMI toolbox of MATLAB. A simulation example is provided to show the validity of the proposed the synchronization conditions of the whole network.     

广义相似距核视频关键帧分层提取算法*

针对视频镜头关键帧特征提取矩阵可能尺寸大小不一致导致相似度无法计算的问题,提出一种广义相似距核视频关键帧分层聚类算法。首先,针对行数相同列不同的两个特征矩阵,基于矩阵运算方法提出一种广义相似距核相似度计算方法并给出其改进形式。其次,基于改进相似距核计算方法和层次聚类算法,设计了广义相似距核视频关键帧分层聚类算法。最后,通过在测试视频数据库及人造视频片段库上的仿真实验表明,该算法能够有效的完成视频关键帧的聚类和提取操作。     

催化柴油管式液相加氢脱硫数值模拟

采用计算流体力学(CFD)软件FLUENT,以用户自定义函数(UDF)添加化学反应和反应热,对实验室带有陶瓷膜管分散器的催化柴油管式液相加氢脱硫反应器进行模拟计算,得出反应床层不同部位的硫化物含量分布和温度分布状况。从反应床层的入口到出口,催化柴油的硫化物含量逐渐下降,且下降速度趋缓。在压力6.5 MPa、混氢量0.84%(m)、空速2 h~(-1)、进口温度633 K的条件下,位于床层高度0.15 m处出现最高温度点643.8 K,径向温差最大2.1 K,表明催化柴油管式液相加氢脱硫反应器催化剂装填合适的高径比为4~6。工艺条件的模拟结果表明:随着进口温度上升、混氢量增加、空速减小脱硫率提高,与实验数据吻合程度较好,说明模拟研究过程中采用的模型和控制方程准确性较高。     

Two general integral inequalities and their applications to stability analysis for systems with time‐varying delay

Integral inequalities have been widely used in stability analysis for systems with time‐varying delay because they directly produce bounds for integral terms with respect to quadratic functions. This paper presents two general integral inequalities from which almost all of the existing integral inequalities can be obtained, such as Jensen inequality, the Wirtinger‐based inequality, the Bessel–Legendre inequality, the Wirtinger‐based double integral inequality, and the auxiliary function‐based integral inequalities. Based on orthogonal polynomials defined in different inner spaces, various concrete single/multiple integral inequalities are obtained. They can produce more accurate bounds with more orthogonal polynomials considered. To show the effectiveness of the new inequalities, their applications to stability analysis for systems with time‐varying delay are demonstrated with two numerical examples. Copyright © 2016 John Wiley & Sons, Ltd.     

Feature aggregating hashing for image copy detection

Currently, research on content based image copy detection mainly focuses on robust feature extraction. However, due to the exponential growth of online images, it is necessary to consider searching among large scale images, which is very time-consuming and unscalable. Hence, we need to pay much attention to the efficiency of image detection. In this paper, we propose a fast feature aggregating method for image copy detection which uses machine learning based hashing to achieve fast feature aggregation. Since the machine learning based hashing effectively preserves neighborhood structure of data, it yields visual words with strong discriminability. Furthermore, the generated binary codes leads image representation building to be of low-complexity, making it efficient and scalable to large scale databases. Experimental results show good performance of our approach.