基于模板的网页信息抽取技术研究

准确挖掘网页中的信息对检索系统非常重要．提出了一种基于模板的网页信息抽取方法进行网页信息抽取．该方法采用网页抓取与数据模板技术实现了网页信息的自动发现与抽取．在Yahoo网站上的实验结果表明,该方法具有较好的检索效果．     

高校智慧校园建设研究

随着教育信息化工作的进一步推进以及各种新技术的发展,智慧校园的建设在高校中纷纷展开．笔者讨论了智慧校园的概念、体系架构,提出了以物联网作为基础支撑平台,以ServiceOrientedArchitecture（SOA）架构模式来进行应用系统的建设．为满足用户对校内移动Web资源的需求,以SOA方法实现了智慧校园移动信息服务平台的系统架构．实践证明,采用SOA的方法,简化了新系统开发的复杂度、优化了系统结构、加快了开发速度、节约了系统资源,降低了智慧校园应用服务的开发和维护成本．     

基于web的高校毕业资格审核系统设计与实现

系统以Visual studio2008为开发工具,采用SQL Server 2000数据库、B/S架构,实现了高校毕业资格审核过程中不同单位之间的数据流通,节省人力、提高毕业资格审核速度与效率。     

基于ASP的网络教学平台的设计与实现

为更好地给教师和学生提供相应的教学资源, 实现教学资源共享, 使学生更好地掌握相关知识, 通过基于ASP(Active Server Page)技术, SQL(Structured Query Language) Server 2005数据库结合的方式, 设计了一种网络教学平台。该平台通过多媒体技术与应用网络教学平台实现其动态性特征。经实践检验, 该设计更好地实现了师生的互通和交流, 使教学效果更加明显。     

网络(WEB)挖掘方法及其最新进展

数据挖掘和国际互联网是信息社会两大重要而有意义的领域。这两个领域的结合就是网络挖掘。网络挖掘一般可以分为两种不同的方法:一是网络内容挖掘,即从互联网的各种资源中检索和提取信息的过程;二是网络使用挖掘,指挖掘网站访问方式或其他网络用户信息的过程。本文主要讨论了WEB网络挖掘,包括有关网络挖掘的多种研究问题、研究技术、研究工具以及网络内容挖掘和网络使用挖掘方面的最新进展。     

处理广西工学院选课系统前台网络阻塞与后台实时数据的方法

从网络规划和服务器群集搭建两个方面阐述广西工学院选课系统在处理"网络瓶颈"中一些做法。合理的网络规划,合理的NLB和MSCS群集服务器,合理的RAID存储方式,能较好地缓解广西工学院学选课系统前台网络阻塞与后台实时数据处理之间的矛盾。     

TeraPELB:云计算中基于预测的弹性负载均衡算法

现代负载均衡已经成为云计算中虚拟资源管理和调度的核心.针对现有云计算弹性负载均衡存在的不足,提出了一种基于预测的弹性负载均衡资源管理算法(TeraPELB),不仅能更加灵活她动态调配资源,而且支持基于负载的趋势预测.理论分析和仿真实验表明,随着网络员载的变动,TeraPELB算法能根据负载变化情况动态地调整后端服务器集群的处理能力,解决了从云中申请虚拟机具有延迟性而导致迟滞甚至无法满足用户请求的问题,相较于传统的弹性员载均衡算法效果更好.     

Cloud Computing-Based Forensic Analysis for Collaborative Network Security Management System

Internet security problems remain a major challenge with many security concerns such as Internet worms, spam, and phishing attacks. Botnets, well-organized distributed network attacks, consist of a large number of bots that generate huge volumes of spam or launch Distributed Denial of Service (DDoS) attacks on victim hosts. New emerging botnet attacks degrade the status of Internet security further. To address these problems, a practical collaborative network security management system is proposed with an effective collaborative Unified Threat Management (UTM) and traffic probers. A distributed security overlay network with a centralized security center leverages a peer-to-peer communication protocol used in the UTMs collaborative module and connects them virtually to exchange network events and security rules. Security functions for the UTM are retrofitted to share security rules. In this paper, we propose a design and implementation of a cloud-based security center for network security forensic analysis. We propose using cloud storage to keep collected traffic data and then processing it with cloud computing platforms to find the malicious attacks. As a practical example, phishing attack forensic analysis is presented and the required computing and storage resources are evaluated based on real trace data. The cloud-based security center can instruct each collaborative UTM and prober to collect events and raw traffic, send them back for deep analysis, and generate new security rules. These new security rules are enforced by collaborative UTM and the feedback events of such rules are returned to the security center. By this type of close-loop control, the collaborative network security management system can identify and address new distributed attacks more quickly and effectively.     

Reality over Web： Pervasive Computing Meets the Web

Reality over Web （ROW） is a novel concept, where a window on the web corresponds to a window onto a real space. Once the correspondence is established, users should be able to interact or manipulate the objects or people in the real space through the web window. In this paper, we introduce the RoW concept and highlight the principles that govern its design and implementation. A system architecture for realizing the RoW concept is described along with a proof-of-concept prototype that implements portions of the RoW concept. One essential part of an RoW implementation is accurate Iocationing of objects and people in a video frame. The Iocationing problem becomes particularly challenging because we want to reuse existing infrastructure as much as possible. We developed a high-frequency sound-based Iocationing scheme and implemented it on the prototype. The results from initial experiments performed on the Iocationing scheme are reported here.     

B2C垂直搜索引擎的网络爬虫设计

开发了基于Beautiful-Soup信息提取的B2C类垂直搜索引擎爬虫系统.测试结果表明:该爬虫的抓取有效率实际达到95%以上,满足商业应用的要求.