Web报表生成系统的研究与实现

报表作为数据信息的发布,包括内容和形式两方面。本文的报表系统其主要特色是使用XML和XSL实现了报表数据和报表格式的分离,即同一报表数据可以有多种显示样式,这样的数据与结构的分离增强了数据的独立性,提高了数据的共享程度。     

报表数据模型研究及系统设计

针对报表系统对数据源的依赖问题,在对报表层次结构及生成技术分析的基础上.提出了基于表单、账户和限制条件的报表数据模型,运用面向对象的报表数据实现方法以及报表格式和报表数据分离的思想,封装数据库操作.完成数据读取和数据加工功能.基于Jasper Report论述了报表系统的体系结构以及报表生成过程的关键技术.引入依赖注入的设计模式,应用Spring支撑框架所提供的功能实现报表格式的快速定制并增强系统的可复用性.最后介绍了报表系统的设计以及集成到ERP系统中的应用情况.     

基于语义的报表系统模型

针对复杂应用中报表系统存在的模型不易修改、复用性差等问题,提出一种基于语义的报表系统模型,灵活地分离并绑定报表数据和报表结构。在报表结构和语义、语义和数据之间建立映射关系。基于该模型开发的报表系统已成功应用于石油领域,能满足复杂报表的需求。     

一个决策支持数据库系统中报表查询的设计与实现

采用．NET平台,用浏览器服务器方式,设计与实现了一个决策支持数据库系统的报表查询。在设计与实现中,使用三层结构和组件开发技术实现数据访问和数据显示的分离,同时在客户端实现动态网页显示,丰富了报表的外观。     

基于Excel的Web报表的设计与实现

采用分层技术,把Excel报表生成的HTML代码分离成数据层和表结构层,通过自定义的HTML标签标识数据层与表结构层的对应关系、位置、属性等信息;在服务器端,编写相应的自定义HTML标签的操作代码,实现报表填报、报表自动计算汇总、报表输出等功能。通过在开滦集团纪检监察管理系统中的运用,基于Excel的Web报表是实现报表快速开发、运用的非常优秀、可行的方法。     

基于Silverlight的柔性生产报表系统的设计

针对流程工业管理信息系统中报表系统灵活性差的问题,提出了一种基于Silverlight的柔性报表系统的设计方法.该方法采用Silverlight技术在客户端实现用户表现层和业务逻辑层功能,利用XML技术将报表样式与报表数据分离,通过自定义XML标签实现报表的灵活配置,采用Web Service技术实现客户端与服务器端之间的数据交互.给出了柔性生产报表系统架构与实现方法,在.NET平台下设计了由报表柔性编辑模决、报表生成模块和报表显示模块等组成的柔性生产报表系统.实际应用表明,采用Silverlight技术开发的柔性生产报表系统能够实现报袁的灵活生成.     

基于复杂报表的数据库通用打印子系统

数据库报表打印在开发 Ｍ Ｉ Ｓ系统中是不可缺少的,本文设计的数据库通用报表打印子系统（ Ｄ Ｂ Ｃ Ｒ Ｐ）,利用 Ｕ Ｃ Ｄ Ｏ Ｓ系统中的打印功能,将 Ｗ Ｐ Ｓ或其它的文本格式的表格文件与相关数据库联系起来,自动填充相关数据,形成各种查询结果的报表输出,不仅解决了数据与报表结构、数据与代码的分离问题,而且还可由用户随时更改表格式样,并能自动匹配数据类型、数据长度,自动完成数据的转行和零值处理。     

JAVA环境中基于XML的一种EXCEL报表生成方法

本文探讨了JAVA语言环境下的基于XML的一种EXCEL报表实现方式。这种报表实现方式利用了XML数据与格式分离的特点，以及EXCEL强大、丰富的格式控制和数据处理能力。利用这一技术能够简化程序设计，降低开发难度和开发成本．与其他EXCEL报表生成方法相比，其灵活性、可控性也大为提高．     

TM1 在设计实现销售渠道报表系统的应用

销售渠道报表在企业应用中十分广泛,这类报表产生时普遍存在数据采集困难、报告格式单一、数据冗余和数据利用效率低等问题。为了解决这些问题,以实际项目为背景,借助IBM Cognos TM1工具设计并部署了一个销售渠道报表系统。重点研究了通过不同的数据采集模板,结合多种数据来源和数据展现设计了一个完整的数据模型,提供了灵活的报表格式以及如何根据不同的条件动态产生报表。经企业实际数据验证,该系统运行稳定,减少了报表制作过程中的人力和物力,充分挖掘了数据本身的潜在信息,大大提高了数据的利用率。     

Rave Reports

Rave Reports是Nevrona公司的产品，当前最新版是6、0，Borland公司从Delphi7开始采用RaveReports作为默认的报表工具。Rave Reports是一个基于组件的可视化报表设计工具，组件丰富、采用类似Delphi的设计界面，大大简化了在应用程序中加入报表的步骤，并支持直接访问数据库生成报表。你可以使用Rave Reports设计主从、分组、统计、图形数据等多种形式的报表，或者PDF，HTML，RTF等格式的报表。Rave Reports最大的特点是报表文件可与程序分离，支持最终用户动态修改报表。     

电子商务中的内容发布技术研究

针对电子商务应用中的网络数据交互和业务集成的需求,利用XML文档的跨平台性实现数据在异质系统之间的交换。在Windows平台下实现数据从Microsoft Server2000到XML文档的转换,从而实现数据内容和表现形式的完全分离,使用XSL样式表显示不同风格的页面。     

Perceived quality of multimedia educational content: A cognitive style approach

Cognitive styles influence the way how humans process information, with previous research demonstrating that they have significant effects on student learning in multimedia environments. On the other hand, the perceptual quality of the human multimedia experience is notoriously difficult to measure. In this paper, we report the results of an empirical study, which investigated the relationship between user cognitive styles and perceptual multimedia quality, in which users had the possibility to specify their desired Quality of Service settings — in terms of frame rates and color depth. Results show that whilst color choice is impacted by a participant's cognitive style, such Quality of Service parameters do not significantly affect perceived multimedia quality, and that users do not necessarily choose optimum presentation settings to enhance their perceived enjoyment and assimilation of multimedia informational content.     

The relationship between learning styles and cognitive traits – Getting additional information for improving student modelling

Student modelling is an important process for adaptive virtual learning environments. Student models include a range of information about the learners such as their domain competence, learning style or cognitive traits. To be able to adapt to the learners’ needs in an appropriate way, a reliable student model is necessary, but getting enough information about a learner is quite challenging. Therefore, mechanisms are needed to support the detection process of the required information. In this paper, we investigate the relationship between learning styles, in particular, those pertaining to the Felder–Silverman learning style model and working memory capacity, one of the cognitive traits included in the cognitive trait model. The identified relationship is derived from links between learning styles, cognitive styles, and working memory capacity which are based on studies from the literature. As a result, we demonstrate that learners with high working memory capacity tend to prefer a reflective, intuitive, and sequential learning style whereas learners with low working memory capacity tend to prefer an active, sensing, visual, and global learning style. This interaction can be used to improve the student model. Systems which are able to detect either only cognitive traits or only learning styles retrieve additional information through the identified relationship. Otherwise, for systems that already incorporate learning styles and cognitive traits, the interaction can be used to improve the detection process of both by including the additional information of a learning style into the detection process of cognitive traits and vice versa. This leads to a more reliable student model.     

Learning styles and cognitive traits – Their relationship and its benefits in web-based educational systems

Different learners have different needs; they differ, for example, in their learning goals, their prior knowledge, their learning styles, and their cognitive abilities. Adaptive web-based educational systems aim to cater individual learners by customizing courses to suit their needs. In this paper, we investigate the benefits of incorporating learning styles and cognitive traits in web-based educational systems. Adaptivity aspects based on cognitive traits and learning styles enrich each other, enabling systems to provide learners with courses which fit their needs more accurately. Furthermore, consideration of learning styles and cognitive traits can contribute to more accurate student modelling. In this paper, the relationship between learning styles, in particular the Felder–Silverman learning style model (FSLSM), and working memory capacity, a cognitive trait, is investigated. For adaptive educational systems that consider either only learning styles or only cognitive traits, the additional information can be used to provide more holistic adaptivity. For systems that already incorporate both learning styles and cognitive traits, the relationship can be used to improve the detection process of both by including the additional information of learning style into the detection process of cognitive traits and vice versa. This leads to a more reliable student model.     

Modeling users on the World Wide Web based on cognitive factors,navigation behavior and clustering techniques

This paper focuses on modeling users’ cognitive styles based on a set of Web usage mining techniques on user navigation patterns and clickstream data. Main aim is to investigate whether specific clustering techniques can group users of particular cognitive style using measures obtained from psychometric tests and content navigation behavior. Three navigation metrics are proposed and utilized to find identifiable groups of users that have similar navigation patterns in relation to their cognitive style. The proposed work has been evaluated with two user studies which entail a psychometric-based survey for extracting the users’ cognitive styles, combined with a real usage scenario of users navigating in a controlled Web 2.0 environment. A total of 106 participants of age between 17 and 25 participated in the study providing interesting insights with respect to cognitive styles and navigation behavior of users. Studies like the reported one can be useful for modeling users and assist adaptive Web 2.0 environments to organize and present information and functionalities in an adaptive format to diverse user groups.     

Computer aided generation of stylized maps

Geographic maps have existed from early stages of human civilization. Various styles of visualizing the geographic information have evolved depending on the nature of information and the technology available for visualization. This has led to innumerable map styles. In this work we develop a technique to create maps by combining two‐dimensional and three‐dimensional information such that the resulting maps are both functional and aesthetically appealing. Our technique requires geographical information in vector form and aerial images as inputs. We use computer vision based approaches and user defined inputs to augment the vector data with information that is required to create stylized maps. We define procedural graphics methods to generate a range of geographic elements that can be composed together into a stylized map. We demonstrate our technique by generating example maps of a region in Las Vegas. Copyright © 2007 John Wiley & Sons, Ltd.     

基于Kinect深度数据的视频艺术化处理

利用深度摄像机Kinect for XBOX360提取视频的深度信息来实现视频前景和背景的分离,并分别对视频前景和背景进行多风格的艺术渲染,从而获取更好的视频风格化定制效果。首先,系统利用Kinect深度数据实现视频前景的提取;然后在光流场指导下,利用基于纹理传输的方法对视频前景和背景进行不同风格的艺术化渲染;最后,将风格化后的前景视频和背景视频进行融合,从而得到最终的风格化艺术视频。另外,由于采用纹理传输的方式实现对视频的艺术化处理,因此用户可以选择不同的纹理样本来实现自定义的多风格艺术渲染。经过实验测试,前景和背景视频融合后生成的风格化视频取得了较好的艺术效果,从而证明了该系统具有较好的视频前景提取能力和视频风格化渲染能力。