多数据库中的负关联规则挖掘技术及发展趋势

负关联规则反映了数据项之间的互斥关系,能提供很多有用的信息,在决策支持中起重要作用,但现行的挖掘算法主要是针对单一数据库的挖掘,多数据库中负关联规则的挖掘还未引起重视。该文介绍负关联规则的研究现状、主要挖掘方法以及冗余正负关联规则的修剪方法,对多数据库中关联规则挖掘研究现状和主要技术进行论述,并展望多数据库中负关联规则挖掘的发展趋势。     

基于P2P的语义Web服务发现机制

分析集中式语义Web服务发现机制存在的问题,利用P2P和本体技术,提出一种基于P2P的语义Web服务发现机制。将服务的部署与发布无缝地绑定在一起,按应用领域和服务目标将整个P2P网络组织成3层结构,基于该结构建立3阶段服务发现算法,达到优化网络结构、提高服务发现效率的目的。     

基于有监督直接局部保持投影的人脸识别

提出一种用于图像识别的有监督直接局部保持投影算法,该算法结合样本类别信息,通过同时对角化的方法求解局部保持投影问题,避免矩阵的奇异性。在ORL人脸库上的测试结果表明,该算法的识别率高于PCA, PCA+LPP等方法。     

基于ZigBee网状网络的分簇路由协议

ZigBee是一种短距离、低速率无线网络通信技术,ZigBee网状网的路由是建立在AODV协议基础上的。采取一种有效的路由协议并能减少路由的负载对于整个网络的负荷的减小非常关键。在ZigBee网状网的基础上,对AODV路由协议进行改进,提出一种新型的分簇路由协议AODV_Cluster,把整个ZigBee网络分成多个簇,一个簇的标签是根据簇首的短地址来实现的,而且同一个簇内的路由信息共享。仿真结果表明,协议既保持了AODV的优点,又提高了网络的可扩展性能,特别是在网络的节点数较多时,性能明显优于AODV。     

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.     

Refined entanglement concentration for electron-spin entangled cluster states with quantum-dot spins in optical microcavities

We present a refined entanglement concentration protocol (ECP) for an arbitrary unknown less-entangled four-electron-spin cluster state by exploring the optical selection rules derived from the quantum-dot spins in one-sided optical microcavities. In our ECP, the parties obtain not only the four-electron-spin systems in the partial entanglement with two unknown parameters, but also the less-entangled two-electron-spin systems in the first step. Utilizing the above preserved systems as the resource for the second step of our ECP, the parties can obtain a standard cluster state by keeping the robust odd-parity instances with two parity-check gates. Meanwhile, the systems in the rest three instances can be used as the resource in the next round of our ECP. The success probability of our ECP is largely increased by iteration of the ECP process. Moreover, all the coefficients of our ECP are unknown for the parties without assistance of extra single electron-spin, so our ECP maybe has good applications in quantum communication network in the future.     

Multi-objective and multi-case reliability-based design optimization for tailor rolled blank (TRB) structures

Structural and Multidisciplinary Optimization - Light weight and crashworthiness signify two main challenges facing in vehicle industry, which often conflict with each other. In order to achieve...     

Finite-time weighted average consensus with respect to a monotonic function and its application

The consensus state is an important and fundamental quantity for consensus problems of multi-agent systems, which indicates where all the dynamical agents reach. In this paper, weighted average consensus with respect to a monotonic function, which means that the trajectories of the monotonic function along the state of each agent reach the weighted average of their initial values, is studied for a group of kinematic agents with time-varying topology. By constructing a continuous nonlinear distributed protocol, such a consensus problem can be solved in finite time even though the time-varying topology involves unconnected graphs. Then the distributed protocol is employed to compute the maximum-likelihood estimation of unknown parameters over sensor networks. Compared with the existing results, the estimate scheme proposed here may reduce the costs of data communication, storage memory, book-keeping and computational overheads.     

军用软件开发过程的质量管理体系研究

军用软件系统的开发在我军信息化建设中占据至关重要的地位。大型武器装备系统的军用软件开发,成本高、风险大、周期长,参与单位及人员众多,如何能够确保大型军用软件的质量,增强武器装备性能,成为亟待解决的课题。本文将质量管理体系引入军用软件开发过程之中,通过强化过程控制,来确保大型军用软件的开发质量,对军队信息化建设,特别是软件系统的开发起到指导和借鉴作用。     

用多媒体软件模拟匀加速直线运动

用多媒体软件Ｄｉｒｅｃｔｏｒ６．０来模拟物理教学中的匀加速直线运动。