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用DELPHI在单窗口中实现多功能组合查询及打印

在Delphi语言中，Flbcok组件在程序中可同时作为浏览显示与打印输出组件。介绍一例巧用SQL语句查询功能与Flbcok组件在单一窗口中实现了多功能组合查询带所见即所得的打印功能。     

新疆广播电视技术数据信息管理系统的开发和应用

新疆广播电视事业的迅速发展，客观上要求决策和管理人员具备全面、科学、快速的分析、判断、决策能力，技术管理工作也不例外。因目前我局的各类技术数据基本上由各对口的业务单位（科室）单独管理，需要时才进行统计汇总，逐级上报，耗费大量时间，且速度慢、准确性不高，     

江苏电信：为客户打造“心”级服务

"诚信服务放心消费年"的目标让全省电信客户备觉安心;"三项服务承诺"让全省电信客户交首称赞;优质的网络让所有期待信息时代到来的电信客户更加靠近梦想;网上营业厅让全省电信客户体验到了网络带来的便捷生活;暴雪灾害让更多人看到了中国电信承担社会责任的能力;……     

汉语同音字的快速识别

分析了GB2 312 - 80国标码汉字字符集的拼音分布规律。介绍了作者独创的同音汉字快速查找识别方法。     

让DHCP高效服务局域网

在局域网工作环境中,网管员常常需要进行网络参数配置、网络软件安装、设备状态查询等方面的操作,每次采用手工方式进行这些操作时,不但需要耗费很长时间,而且也会增加网络维护的工作量,显然这不利于局域网的高效运行。     

中国银联积极开展移动支付业务

与商业银行相比,中国银联在移动支付业务开展上表现积极。中国银联于2002年推出第一代移动支付业务,主要通过短信方式实现银行卡的基本功能,主要包括手机话费查询和缴纳、银行卡余额查询、银行卡账户信息变动通知、公用事业费缴纳、彩票投注、数字化产品购买等。     

SQL合并查询用法之探讨

在SQL中,使用子查询进行合并查询可以提高查询效率,简化查询代码。本文就SQL合并查询的用法结合实例从四个方面进行了探讨。     

HPSIN: a new hybrid P2P spatial indexing network

Geographic information system(GIS)is increasingly managing very large sets of data,hence a centralized data index may not always provide the most scalable solution.Recently,the peer to peer(P2P)networks have become very popular for sharing information in a totally decentralized manner.In this paper,a new hybrid P2P spatial indexing network(HPSIN)is proposed,which combines distributed quad-tree with distributed Hash table(DHT)based Chord network to maintain both query efficiency and system load balance.In addition,a simple theoretical model based on opened queueing network for HPSIN is established.Assuming each peer as M/M/1 queueing processor in the model,fundamental characteristics of the system is captured,and expression of average query delay is obtained in close form.The theoretical analysis and numerical computing results show that there exists an optimum point of tradeoff between efficiency and load balance.By setting a proper value of start index level ls for different network scale and query rate,HPSIN will achieve the minimum overall query delay,therefore,can adapt to different P2P application environments.     

Search recommendation model based on user search behavior and gradual forgetting collaborative filtering strategy

The existing search engines are lack of the consideration of personalization and display the same search results for different users despite their differences in interesting and purpose.By analyzing user's dynamic search behavior,the paper introduces a new method of using a keyword query graph to express user's dynamic search behavior,and uses Bayesian network to construct the prior probability of keyword selection and the migration probability between keywords for each user.To reflect the dynamic changes of the user's preference,the paper introduces non-lineal gradual forgetting collaborative filtering strategy into the personalized search recommendation model.By calculating the similarity between each two users,the model can do the recommendation based on neighbors and be used to construct the personalized search engine.