On Extension of Optimal Entanglement Concentration of GHZ States in Quantum-Dot and Micro-Cavity Coupled System

We extend an optimal entanglement distillation of the triplet Greenberger-Horne-Zeilinger （GHZ） state via entanglement concentrating in the three-partite partially electron-spin-entangled systems. Two entanglement concen- tration protocols are similarly designed in detail with the post-selection in quantum-dot （QD） and micro-cavity coupled systems. The proposed protocol can be repeated several rounds to achieve an optimal success probability with an as- sistance of the ancillary QD, where only the single photon needs to pass through the micro-cavity for each round. It increases the total success probability of the distillation even if the implemented cavity is imperfect in practice during the whole process.     

基于WebGIS的旅游信息系统的设计

以开封市为例,设计了基于WebGIS的旅游信息系统．该系统采用了WebGIS的基于JSP的实现技术及其地图网络发布工具ARCIMS9．0,及旅游信息系统的多媒体技术和虚拟现实技术等关键技术,使旅游者能够获得图文并茂、声像一体的可交互的动态旅游图．该系统的构建为开封市的旅游管理和旅游业发展提供可靠的信息和依据.     

幺正时间演化算符的推导及其在量子信息中应用

采用J-C模型,在原子与场共振相互作用时,就半经典和全量子化两种情形下推导出量子光学中一个十分有用的幺正时间演化算符,并应用这一算符展示了一种量子隐形态传输的方案.     

A New Strategy in Boosting Information Spread

Finding a seed set to propagate more information within a specific budget is defined as the influence maximization (IM) problem. The traditional IM model contains two cardinal aspects: (i) the influence propagation model and (ii) effective/efficient seed-seeking algorithms. However, most of models only consider one kind of node (i.e., influential nodes), ignoring the role of other nodes (e.g., boosting nodes) in the spreading process, which are irrational. Specifically, in the real-world propagation scenario, the boosting nodes always improve the spread of influence from the initial activated seeds, which is an efficient and cost-economic measure. In this paper, we consider the realistic budgeted influence maximization (RBIM) problem, which contains two kind of nodes to improve the diffusion of influence. Facing the newly modified objective function, we propose a novel B-degree discount algorithm to solve it. The novel B-degree discount algorithm which adopts the cost-economic boosting nodes to retweet the influence from the predecessor nodes can greatly reduce the cost, and performs better than other state-of-the-art algorithms in both effect and efficiency on RBIM problem solving.     

基于词二元接续的中文文本自动查错研究

运用语料库语言统计方法对中文文中自动查错的有关问题进行探讨，运用词二元接续关系进行查错，主要依据词二元同现概率，互信息，t-测试差，其中，t-测试差是首次被应用于查错。     

论微信时代的知识产权保护

信息时代碎片化的传播方式造成了微信中的知识产权保护困境，以微信为代表的新兴自媒体对传统的保护模式提出了挑战。微信平台信息传播快、溯源难、自主性强、监控难的特性是导致知识产权保护困境的重要原因。要打破“微阅读”“微营销”知识产权保护的困境，需要行业自身、技术方、管理者等不同角色分工配合。     

利用Vb2005制作硕士学位信息采集系统

本文讨论了利用Visual Basic 2005开发简易实用的基于B／S的学历教育硕士研究生学位授予信息采集系统。     

环境会计与环境信息披露探讨

综观全球，社会经济所依赖的资源基础、生态环境已呈现入不敷出的局面。搞好环境会计工作应当是我国环境保护工作体系中的重要一环。经济工作者应当对环境会计的相关概念和我国的现实状况进行分析，探讨在我国现阶段搞好环境会计的重要意义和工作方式，并对我国环境会计的发展提出了合理的建议。     

开放存取数据库现状与面临的挑战分析

阐述了开放存取的概念，介绍了目前国内外主要的开放存取数据库，针对开放存取系统面临的挑战，提出了相应的建议。     

结合α分层改进基于IRT计算机自适应题库系统

IRT理论中基于最大信息量函数的选题方法会使系统偏向于选取信息函数值最大的试题进行测验,容易造成部分试题被反复选取,导致试题的曝光度过高从而影响后期测验的有效性。本文在原有选题策略的基础上融入α分层和内容筛选,有效地提高了系统的有效性和安全性。