Face recognition using adaptively weighted patch PZM array from a single exemplar image per person

Though numerous approaches have been proposed for face recognition, little attention is given to the moment-based face recognition techniques. In this paper we propose a novel face recognition approach based on adaptively weighted patch pseudo Zernike moment array (AWPPZMA) when only one exemplar image per person is available. In this approach, a face image is represented as an array of patch pseudo Zernike moments (PPZM) extracted from a partitioned face image containing moment information of local areas instead of global information of a face. An adaptively weighting scheme is used to assign proper weights to each PPZM to adjust the contribution of each local area of a face in terms of the quantity of identity information that a patch contains and the likelihood of a patch is occluded. An extensive experimental investigation is conducted using AR and Yale face databases covering face recognition under controlled/ideal conditions, different illumination conditions, different facial expressions and partial occlusion. The system performance is compared with the performance of four benchmark approaches. The encouraging experimental results demonstrate that moments can be used for face recognition and patch-based moment array provides a novel way for face representation and recognition in single model databases.     

An approach to mining bundled commodities

Although bundled commodities are largely existed in supermarket, there are few investigations about bundled commodities mining. In this study, interval-valued association rules as a novel and possible approach to solving the bundled commodities mining issue, is proposed. Properties research based on interval-valued association rules is conducted, and an interval-valued rule pattern: F, ,  is constructed, where F denotes set of interval-valued ruses, and denote the disjunctive operation and conjunctive operation, respectively. Furthermore, one of the properties satisfied by the interval-valued rules: A  C = B  C and A  C = B  C  A = B, where A, B, C are there different rules, is validated and utilized to mine the bundled commodities. Finally, a large-scale software engineering project relative to interval-valued rule mining is implemented to merge flight testing information about aircrafts which validates the technique of mining bundled commodities can be discovered a special relation between objects. These initial investigations provide a researchable framework for bundled commodities mining.     

基于WEB的示范性建设专业网站管理系统的设计

根据高校示范性建设专业建设与申报的需要,主要利用Dream Weaver 8和MicroSoft Access 2000数据库系统构成一个完整的软件开发环境,设计一个通用高校示范性建设专业网站的后台管理系统平台。为高校示范性建设专业的网站建设提供完整的网站框架,各专业教师只需利用该后台管理系统平台就可方便快捷的完成各示范性建设专业的所有网络资源和网站的建设。     

Smart Client技术实现林权证管理系统的离线应用

林权证管理系统对于提高林权证管理的效率和科学性具有重要意义。对当前林权证管理系统存在的问题进行了分析,提出采用Smart Client技术进行林权证管理系统的开发,分析了离线状态下林权证办理的实现技术,为保障林权证业务的正常开展提供了一个有效途径。     

基于消息队列和XML的数据同步技术研究

数据同步技术一直是影响分布式计算机系统应用的一个决定性因素,在简单介绍了现有的数据同步技术的基础上,提出了采用Windows的消息队列和二进制XML编码技术相结合的数据库同步方案,给出了具有较高数据压缩比率的二进制XML编码算法,实现了在窄带网络环境下的数据同步,并对数据同步的导入导出策略进行了设计,仿真测试的结果表明该同步算法相较于传统的数据同步算法具有很好的网络传输特性及数据同步的可靠性,这些对于数据同步技术的研究,在理论与实践上都有一定的借鉴意义。     

基于全文检索的Segmenter分词算法改进

流行的Segmenter分词算法是开放的java源代码,它是一个很好的分词工具。但是,在全文检索系统中对分词有特殊的要求,例如歧义包客、专业词典等。所以在这里将Segmenter词典和算法都进行了改选,建立了树状词典,在匹配算法中使用了歧义包容法则、分支处理、动态规划和词库预载入。以适应电子商务案例全文检索系统。     

县级1:1万土地利用现状调查数据库建设方法——以浙江省为例

针对土地利用现状调查数据库建库问题,自主开发了拓扑系统,该系统在空间数据拓扑处理过程中,可以保留参与拓扑折线的属性,并可以将弧段左右图斑属性赋入到该弧段中。基于系统该特点在土地利用现状调查数据库建库处理过程中可以根据弧段及面状属性从拓扑层中提取需要的数据库内容。利用该方法完成土地利用现状调查数据库建设,可以减少错误、节省建库时间、保证各数据库空间结构匹配、提高数据库质量和建库效率。     

公文传输系统与OA系统接口的解决方案

"脱密"在公文传输系统中运用了加密算法的解密和对硬件加密设备的调用,并同时将"脱密"文件存入到临时表中,而OA系统中的收文表单则直接读取这个临时表里的数据。该文对公文传输系统与办公系统对接的接口实现方法进行了研究,并指出了这种接口方法的实用性及优越性。     

基于VB的ADO油田开发数据库访问技术及应用

介绍了ADO技术和VB中利用ADO的方式访问数据库的优点,并结合油田开发数据库的实例描述了利用ADO访问Oracle数据库的技术和方法,指出掌握ADO访问数据库的方式对开发数据库程序的重要性和便利性。     

基于内容的信息检索技术研究

介绍了多媒体图象数据查询和检索的系统结构;阐述了图象数据查询和检索的基本过程和相关技术;提出了图象分割、特征提取、相似匹配、快速存取的具体算法,并对它们进行了详细分析。