不需实体类的三层架构

针对三层架构的数据库应用系统,提出了一种非常便捷的,能大量减少编码工作量的实现方式。服务端由基于Strusts 2的Java完成,而客户端接口用C#和Delphi语言分别实现。     

针对肌肉功能障碍患者的数据库研究与开发

建立标准数据库是临床研究病情变化的重要手段,建立适用于肌肉功能障碍患者的标准数据库模板更具有重要临床意义。本研究针对临床上所采集的具有肌肉功能障碍患者的肌力、肌电数据,通过ODBC连接方式,引入了统一建模语言(UML),使用VC++开发工具,设计和完成了Access数据库,以对获取到的大量的肌力、肌电数据进行管理和使用。数据库有效存储并管理肌力、肌电数据,同时能减少数据占有空间和数据冗余,它更好地满足了医院康复科的需求。     

《数据库原理及应用——SQL SVRVER 2000》课程的实践探索

高职高专院校的课程(特别是计算机软件类的课程)教学中,常见问题及处理对策。以及开展的教学活动,主要采用项目驱动教学方法,通过具体的项目开发,培养学生综合实践能力。     

LabVIEW 7 Express平台上的液压测试系统

为了满足工程实践对先进液压测试技术的需要，研究了基于美国NI公司最新推出的LabVIEW 7 Express虚拟仪器开发平台的液压测试系统的软硬件结构，介绍了测试系统实现网络通讯、数据库链接和多种编程语言联合作业的方法，提出了现代液压测试系统的技术方案。     

水厂生产运行管理决策支持系统的开发

介绍了水厂生产管理决策支持系统的设计原理和方法，其中主要讲述了数据库和知识库的建立，并阐述了该系统的运行功能、管理和维护方法。     

Data-mining based SQL injection attack detection using internal query trees

Detecting SQL injection attacks (SQLIAs) is becoming increasingly important in database-driven web sites. Until now, most of the studies on SQLIA detection have focused on the structured query language (SQL) structure at the application level. Unfortunately, this approach inevitably fails to detect those attacks that use already stored procedure and data within the database system. In this paper, we propose a framework to detect SQLIAs at database level by using SVM classification and various kernel functions. The key issue of SQLIA detection framework is how to represent the internal query tree collected from database log suitable for SVM classification algorithm in order to acquire good performance in detecting SQLIAs. To solve the issue, we first propose a novel method to convert the query tree into an n-dimensional feature vector by using a multi-dimensional sequence as an intermediate representation. The reason that it is difficult to directly convert the query tree into an n-dimensional feature vector is the complexity and variability of the query tree structure. Second, we propose a method to extract the syntactic features, as well as the semantic features when generating feature vector. Third, we propose a method to transform string feature values into numeric feature values, combining multiple statistical models. The combined model maps one string value to one numeric value by containing the multiple characteristic of each string value. In order to demonstrate the feasibility of our proposals in practical environments, we implement the SQLIA detection system based on PostgreSQL, a popular open source database system, and we perform experiments. The experimental results using the internal query trees of PostgreSQL validate that our proposal is effective in detecting SQLIAs, with at least 99.6% of the probability that the probability for malicious queries to be correctly predicted as SQLIA is greater than the probability for normal queries to be incorrectly predicted as SQLIA. Finally, we perform additional experiments to compare our proposal with syntax-focused feature extraction and single statistical model based on feature transformation. The experimental results show that our proposal significantly increases the probability of correctly detecting SQLIAs for various SQL statements, when compared to the previous methods.     

异构数据库数据迁移的研究与实现

数据是业务运转的基础．是企业的宝贵资产。企业在系统升级过程中往往会遇到数据迁移问题,由于新系统与旧系统经常存在数据结构异构的情况．使数据迁移工作难以实现。开发一款异构数据库数据迁移工具,该工具通过框架程序在ODBC（Open Database Connectivity）开发平台以及XML技术的支持下实现数据结构异构的数据库数据迁移。     

案例式教学法在《Access数据库》教学中的应用研究

作为一门重要的数据库基础课程,《Access数据库》的教学不但可以使学生学会一种数据库技术,而且还能够奠定学生将来学习高级数据库技术的基础,因此,将案例式教学法应用《Access数据库》教学中具有重大的实际意义。为此,对案例式教学法的内涵进行阐述,《Access数据库》教学中案例式教学法的实际应用策略,以及应用案例式教学法需要注意的一系列事项。     

基于Java Reflection的数据库访问通用模型设计与实现

运用Java反射机制和面向接口的编程思想,设计并实现一款Java数据库访问通用模型,该模型具有适用范围广、轻量级、可扩展性好等特点,既可以应用到Java桌面应用程序也可以应用到Java Web应用程序中,而且和使用的数据库服务器无关。该模型的使用可以减少程序员的工作量,从而减少开发成本,缩短开发周期。