液相色谱专家系统中柱系统推荐规则的建立和验证

把分子结构和分子、离子静电作用力作为影响溶质保留值和选择性的基本点,提出了液相色谱专家系统柱系统推荐的基本规则,由此可以从溶质所包含的基团或官能团的信息进行色谱柱系统推荐。为了验证这些规则的正确性,应用几类常用的或典型的样品从分子结构通道进行液相色谱柱系统推荐,获得满意的结果。     

What installed mobile applications tell about their owners and how they affect users’ download behavior

The rapid growth in the mobile application market presents a significant challenge to find interesting and relevant applications for users. An experimental study was conducted through the use of a specifically designed mobile application, on users’ mobile phones. The goals were; first, to learn about the users’ personality and the applications they downloaded to their mobile phones, second to recommend applications to users via notifications through the use of experimental mobile application and learn about user behavior in mobile environment. The question of how the personality features of users affect their compliance to recommendations is explored in this study. It is found that conscientiousness is positively related with accepting recommended applications and being agreeable is related with the preference for the applications of editor’s choice. Furthermore, in this study, applications owned by the user and the composition of applications under categories and their relation with personality features are explored. It is shown that the number of user owned applications and their category differ according to gender and personality. Having similar applications and the number of applications owned under specific categories increase the probability of accepting recommended applications.     

An algorithm for friend-recommendation of social networking sites based on SimRank and ant colony optimization

We put forward an algorithm on friend-recommendation of social networking sites based on SimRank and ant colony optimization, which broadens the appliance of the algorithm in this academic question. The algorithm focuses on the existing relationships between the members as the initial measurement and constructs artificial ants’ completed routing graph. Finally, an ordered and limited list of personalized recommendations through recursive optimization is produced. In the end, we verify the algorithm's rationality and validity through simulation and the result shows that it can improve the precision of friend-recommendation.     

云环境下top-n推荐算法

Top-n推荐技术是近年来信息服务领域的一个研究重点和热点.针对云环境下的top-n推荐算法进行了深入研究,提出了适合top-n推荐的多层分布式存储架构MDSA(Multilayer Distributed Storage Architecture),并从降低网络传输代价出发,设计了基于MDSA架构的数据编码模式,进而利用map/reduce分布式编程模型来快速实现top-n推荐.此外,为了满足实际的需求,给出了三种top-n推荐的应用扩展.理论分析和实验结果表明,本文所提的方法具有有效性和实用性.     

一种社交网络群组间信息推荐的有效方法

群组间信息推荐是社交网络中人们传递和分享资讯的重要途径,然而获取精确的最优推荐方案需要指数级时间开销.为此,本文提出一种有效算法EAOORS(Efficient Algorithm for Obtaining Optimal Recommendation Solution),将该指数级时间开销问题等价归约为EST(Extended Steiner Tree,扩展Steiner树)问题,并在多项式时间复杂度内快速获取近似最优推荐方案.理论分析和仿真实验表明,本文所提的算法具有有效性和实用性.     

基于一跳信任模型的协同过滤推荐算法

基于社会信任网络的协同过滤推荐算法存在节点之间多下一跳带来的复杂路径选择和信任弱传递问题。针对这2个问题,给出基于项目的一跳信任模型,该模型通过用户对项目信任度的计算,定义用户的直接和间接社会信任属性,然后一步跳转计算用户之间的直接和间接信任距离,进而计算用户之间的信任度。基于此模型设计推荐算法,同时分析了信任度与传统相似度的理论关系并二维拟合。仿真实验表明,该算法提高了推荐准确度(约0.02 MAE),降低了训练时间(约50%)。     

采用V.34建议的高速传真保密机的研究与实现

本文研究分析了采用V.34建议的高速传真通信规程,阐述了高速传真保密通信的基本原理,基于此设计实现了门卫式高速传真保密机.     

支持冷启动用户推荐的区块链服务发布方案

为解决现有的发布系统容易受到篡改,以及很难向新加入系统的"冷启动"用户推荐服务信息的问题,提出了一种支持冷启动用户推荐的区块链服务发布方案.将单个辅助域的潜在特征映射模型扩展到2个辅助域,为目标域中的冷启动用户进行更为精确的推荐.将微服务架构和区块技术相结合,确保系统可扩展性、可靠性和安全性.在亚马逊交易数据中提取的3...     

光盘读写头光栅纵向和横向加工误差数值分析

基于标量衍射理论给出了矩形光栅衍射效率的一般表达式,数值分析了VCD、DVD和CD-ROM光盘读写头(光学头)分束光栅纵向和横向加工误差对辅助光束与读写主光束强度之比以及对透过率的影响.结果表明,对辅助光束与读写主光束强度之比,纵向加工误差与横向加工误差可以互补,但是,要以损失部分透过率为代价;对光学头分束光栅,其纵向加工误差与横向加工误差间存在的互补性,对光栅的具体制作有着实际的参考价值.     

基于DVD双光束多层数据存储系统的设计及仿真

为了实现三维光信息存储的实用化, 在三维光盘存储实验系统的基础上, 改进、设计出了一种可用于三维数据存储的单侧读写光学头。对光学头进行了光学和控制系统的设计, 利用专门设计的耦合分光棱镜进行光束耦合和分离; 采用双音圈电机控制透镜的方式实现数据的选层; 进行了聚焦伺服系统的建模和仿真。结果表明双光束焦点同步误差保持在±3μm之内。