浅议云计算及其在教育方面的应用

本文介绍云计算的含义及优势,从教育领域中教学、试验和教辅三方面描述云计算的应用。     

云存储模式下图书馆数字资源建设

随着图书馆数字资源总量的快速增加,传统的存储方式在面对海量数据存储的需求上,存在着容量和性能的瓶颈。云存储作为一种新型的存储服务模式,为图书馆的海量数字资源建设提供了一种新的选择。在分析图书馆数字资源建设需求、介绍云存储概念的基础上,对基于云存储模式下图书馆数字资源的建设进行了探讨。     

基于云计算的高校与农村文献信息资源共享平台的设计与实现

针对农村文献信息资源个性化服务的需求,利用云计算的强大优势,以移动通讯网络为信号传输方式,以高校图书馆文献信息资源为基础,搭建了一种基于云计算的高校与农村文献信息资源共享平台。将面对终端用户的应用服务与文献信息资源的数据处理分开,搭建两台服务器：云计算中心和移动终端服务器,所有的计算都由这2台服务器来完成。在1个农村、1所高校、1间云计算机房组成的实验对象上对这种基于云计算的农村与高校文献信息资源共享模式进行了小范围的验证。     

基于移动云计算的个人学习环境支持系统的构建研究

本文基于移动云计算和Mashup技术构建个人学习环境支持系统,为学习者提供符合个性化的知识与学习资源的信息推送与引导,即时获取和存储在云端的学习资源,实现任何时间、任何地点实时满足学习者的学习需求,为进一步研究基于移动互联网环境下的提升高校教学能力的深入挖掘提供依据。     

生态智慧的新表征——生命体城市

兼顾智慧城市与生态城市的发展,从仿生学的角度提出城市生态智慧的新表征——生命体城市出现的必然性;参照人体系统的划分对生命体城市的组成进行划分与讨论,并探讨人在生命体城市中扮演的角色及所应具有的权利与义务。研究认为,生命体城市是智慧城市与生态城市结合发展的新高度,具有更高的稳定性、宜居性,更适于城市居住者的生活需求,当遇到突发紧急状况时,生命体城市将作出更加积极的响应与反馈。     

Multimedia augmented m-learning: Issues,trends and open challenges

The advancement in mobile technology and the introduction of cloud computing systems enable the use of educational materials on mobile devices for a location- and time-agnostic learning process. These educational materials are delivered in the form of data and compute-intensive multimedia-enabled learning objects. Given these constraints, the desired objective of mobile learning (m-learning) may not be achieved. Accordingly, a number of m-learning systems are being developed by the industry and academia to transform society into a pervasive educational institute. However, no guideline on the technical issues concerning the m-learning environment is available. In this study, we present a taxonomy of such technical issues that can impede the life cycle of multimedia-enabled m-learning applications. The taxonomy is devised based on the issues related to mobile device heterogeneity, network performance, content heterogeneity, content delivery, and user expectation. These issues are discussed, along with their causes and measures, to achieve solutions. Furthermore, we identify several trending areas through which the adaptability and acceptability of multimedia-enabled m-learning platforms can be increased. Finally, we discuss open challenges, such as low complexity encoding, data dependency, measurement and modeling, interoperability, and security as future research directions.     

我国云计算与图书馆问题研究综述与展望

云计算和图书馆问题的研究在我国还是一个全新的课题。通过对近两年发表在10种图书馆学期刊上的19篇研究文章的分析,介绍图书馆学领域研究云计算的现状,总结研究的特点,找出现阶段研究中的不足及其原因,展望5个未来可能的研究方向,为今后研究提供参考,为实践发展提供指导。     

基于Web服务的语义网格与异构资源的推送研究

阐述构建教学参考信息服务系统的思路：利用Web服务为基础实现技术,初步完成教参系统语义网格,实现各种架构数据库的透明访问及与各院系资料室功能上的对接;在此基础上,利用语义网格实现异构资源的推送集成,并分析服务质量评价体系的内容和相关参数。     

数据挖掘中分类方法综述

数据挖掘中的核心技术分类算法的内容及其研究现状进行综述。认为分类 算法大体可分为传统分类算法和基于软计算的分类法两类，主要包括相似函数、关联规 则分类算法、K近邻分类算法、决策树分类算法、贝叶斯分类算法和基于模糊逻辑、遗传 算法、粗糙集和神经网络的分类算法。通过论述以上算法优缺点和应用范围，研究者对 已有算法的改进有所了解，以便在应用中选择相应的分类算法。     

Search on surfaces: Exploring the potential of interactive tabletops for collaborative search tasks

Collaborative information seeking often takes place in co-located settings; such opportunities may be planned (business colleagues meeting in a conference room or students working together in a library) or spontaneous (family members gathered in their living room or friends meeting at a café). Surface computing technologies (i.e., interactive tabletops) hold great potential for enhancing collaborative information seeking activities. Such devices provide engaging direct manipulation interactions, facilitate awareness of collaborators’ activities, and afford spatial organization of content. However, current tabletop technologies also present several challenges that creators of collaborative information seeking system must account for in their designs. In this article, we explore the design space for collaborative search systems on interactive tabletops, discussing the benefits and challenges of creating search applications for these devices. We discuss how features of our tabletop search prototypes TeamSearch, FourBySix Search, Cambiera, and WeSearch, illustrate different aspects of this design space.