文档变量在设计试卷模板中的应用

介绍了Office文字处理软件中文档变量的概念,举例详细说明了文档变量的创建和使用方法。     

基于Aspose技术的自定义模板文档生成方法

针对当前信息系统(Information System, IS)中文档批量生成与报表技术繁琐复杂的问题,提出了一种基于Aspose技术的自定义模板文档生成方法。首先建立模板文档,划分常量域与变量域,对其通用格式进行自定义设置,然后重点借助Aspose组件调用模板文档并初始化,进而对其变量域进行实际数据填充,最后导出为目标格式的文档。通过多次应用实践,证明了该方法具有较高的鲁棒性与有效性。     

基于VBA的教学工作量计算及管理系统设计

提出在教学管理和办公事务中将VBA编程应用于Word文档的方法,较为详细地介绍了如何在文档中引入控件和文档变量,给出Word文档与磁盘数据文件之间实现信息交换的相关代码。     

基于VBA的教学工作量计算及管理系统设计

提出在教学管理和办公事务中将VBA编程应用于Word文档的方法,较为详细地介绍了如何在文档中引入控件和文档变量,给出Word文档与磁盘数据文件之间实现信息交换的相关代码。     

一种需求变更影响分析方法

需求变化的影响分析通过对其影响进行评估,为软件开发者和管理者提供有效的信息,这项工作在软件开发过程中有重要的意义.面向方面文档驱动需求工程从文本需求出发,提供了基于关注点及其关系的需求模块化、横切关注点判定及生成形式化需求文档等过程和方法.在面向方面文档驱动需求工程方法框架下,给出了一种需求影响分析方法,该方法基于矩阵确定关注点和变量之间的内部联系,应用可达矩阵计算界定关注点和变量的影响范围,定量计算关注点和变量相互之间影响程度,并通过实例分析验证了新方法的有效性.     

巧查Word中公式乱码问题

笔者的朋友在打开一些含有数学公式的Word文档时,发现文档中的公式出现了乱码,如公式中的变量不能显示、运算符号成乱码等,重新安装Office2003也没能解决问题。于是把文件复制到笔者的电脑上来查找原因,可是一到笔者的电脑上就一切正常了,让     

多个MDI子窗口共享同一菜单的实现技术

TechniqueofMultipleMDIChildWindowsSharingtheSameMenuGuoZiweiCMultiDocTecmplate类中有一个成员变量m_hMenuShared用来保存于窗口的菜单资源句柄。在缺省的CMultiDocTemplate对象假定自己是该成员变量的唯一使用者,因此当该文档模板的生存期结束时,它的折构函数用：：h血…灿删（）释放该成员变量所指向的菜单资源。为实现多个MI）子窗口共享莱单,须从CMulop类派生一个新类（例如CMbxlllollarwlisxle’’lt,tate）来防止共享菜单资源的自动释放。实现步较如下：1．从文档模板类Ceq派生一个新类（命名为CMelll,ollarer…     

动感设计

有了Ⅲustrator的Variable（变量）面板，你可以链数据到文档中，让名片的制作轻而易举。Jason Arber透露其中秘诀……[编者按]     

基于VSTO的智能文档在企业环保信息调查系统中的应用

VSTO 2005是内建于Microsoft VisuaI Studi0中用于开发基于Office解决方案的一种工具,提出了一种基于VST0的智能文档技术,实现了Office办公软件与管理信息系统的融合,并成功地应用在企业环保信息调查中。各企业用户可在熟悉的Office界面中填写信息,避免填写纸质表格的麻烦;利用文档变量实现的文档状态设置和文档＂签名＂的功能,可确保入库企业信息的准确、合法与安全,也为在此基础上提供的打印和分析提供了保证;本系统还能减少网络信息采集中频繁占用服务器资源的耗费。实际应用表明本系统具有良好的实用价值。     

用Authorware制作大型教学软件的几点思考

提高效率的方法 1严格按照技术文档给图表和变量命名 因为只有这样,程序的跳转和计算的图标才不会出现重复的情况,有些与图标名称有关的函数才能被正确使用.     

基于并行信息瓶颈的多语种文本聚类算法*

聚类算法在抽取文本数据中的模式结构时,忽略多个语种信息之间潜在的互补作用,得到的模式结构不能充分反映数据的内在信息.针对此问题,文中提出基于并行信息瓶颈的多语种文本聚类算法.首先使用词袋模型为文本数据的不同语种信息构建相应的相关变量.然后将多种相关变量引入并行信息瓶颈方法,通过最大化地保存模式结构与多个相关变量之间的信息,使得到的模式结构能够反映数据的多个语种信息.最后提出基于信息论的抽取合并方法优化文中算法的目标函数,保证其收敛到局部最优解.实验表明,文中算法能有效处理文本数据的多个语种信息,性能优于单语种聚类算法和现有的两类能够处理文本多语种信息的聚类算法.     

求解Web集群文档分布的混沌搜索算法

提出Web集群文档分布方案,用M/G/1/K PS排队模型对服务器进行建模,将文档分布问题转化为0-1整数规划问题,然后求解该规划问题。针对该类0-1整数规划问题,给出一种基于混沌搜索的求解算法,该算法让多个独立的混沌变量在其各自的轨道中搜索,使得对应生成的0-1矩阵能遍历任意一种可能的分布,从而能搜索到全局最优解。设计一种基于贪婪思想的文档分布算法。测试表明,混沌搜索算法能找到全局最优解,优于传统的贪婪算法。     

基于小世界模型的复合关键词提取方法研究

该文提出了一种新的基于小世界网络特性的关键词提取算法。首先,利用K最邻近耦合图构成方式,将文档表示成为词语网络。引入词语聚类系数变化量和平均最短路径变化量来度量词语的重要性,选择重要性大的词语组成候选关键词集。利用侯选关键词集词语位置关系和汉语词性搭配关系,提取出复合关键词。 实验结果表明该方法是可行和有效的,获取复合关键词比一般关键词所表达的含义更便于人们对文本的理解。     

基于图模型的关键词挖掘方法

文章提出一种基于图模型的关键词挖掘方法,应用K最邻近耦合图构造文档的图模型,将文档映射为一个语义结构图,然后结合聚类系数变化量,平均路径变化量,TF-IDF以及区域位置因子来衡量词语节点的重要性,根据重要性得分选择候选关键词集,最后根据短语合并规则形成最终的关键词,实验结果表明,该方法相比于TF-IDF和小世界特征方法性能有所提高。     

XTemplate 3.0: spatio-temporal semantics and structure reuse for hypermedia compositions

The use of declarative languages in digital TV systems, as well as IPTV systems, facilitates the creation of interactive applications. However, when an application becomes more complex, with many user interactions, for example, the hypermedia document that describes that application becomes bigger, having many lines of XML code. Thus, specification reuse is crucial for an efficient application development process. This paper proposes the XTemplate 3.0 language, which allows the creation of NCL hypermedia composite templates. Templates define generic structures of nodes and links to be added to a document composition, providing spatio-temporal synchronization semantics to it. The use of hypermedia composite templates aims at facilitating the authoring work, allowing the reuse of hypermedia document common specifications. Using composite templates, hypermedia documents become simpler and easier to be created. The 3.0 version of XTemplate adds new facilities to the XTemplate language, such as the possibility of specifying presentation information, the attribution of values to variables and connector parameters during template processing time and the template ability to extend other templates. As an application of XTemplate, this work extends the NCL 3.0 declarative language with XTemplate, adding semantics to NCL contexts and providing document structure reuse. In addition, this paper also presents two authoring tools: the template processor and the wizard to create NCL documents using templates. The wizard tool allows the author to choose a template included in a template base and create an NCL document using that template. The template processor transforms an NCL document using templates into a standard NCL 3.0 document according to digital TV and IPTV standards.     

Spatial reasoning about multimedia document for a profile based adaptation

The continuous evolution of smart devices has led to serious limitations in multimedia applications. The multimedia graphic design and animation and the increased use of rich and complex multimedia content on the web or other media have all created a need to diversify the accessibility of the content. Therefore several techniques are used today to design a universally accessible content. The main techniques that are still used to maintain accessibility is to create two parallel streams of design and development of the same content. Thus, the continuous evolution will certainly lead to create other streams. For this, the automatic reasoning on multimedia to allow a computer to modify the design according to different variables, devices capabilities, user status and context to provide personalized adapted content. In this paper, we propose an abstract document model called XMS short for XML Multimedia Specification; it describes the composition of an original multimedia document and can be extended to any document type. We present how we may use spatial information present in this document to adapt and modify the original document. We mainly focus on the spatial aspect of a web document, a combination of RCC8, qualitative distances, and directions are used to describe the layout of a set of objects. The level of granularity of the definition of the objects defines the level of details that will be processed by our PROLOG based inference system, simplified versions of algorithms from the inference system and how it works on the spatial dimension of the document are shown. In the end samples of how spatial relations manipulation algorithms work are illustrated.     

Generalized Dirichlet priors for Naïve Bayesian classifiers with multinomial models in document classification

The generalized Dirichlet distribution has been shown to be a more appropriate prior than the Dirichlet distribution for naïve Bayesian classifiers. When the dimension of a generalized Dirichlet random vector is large, the computational effort for calculating the expected value of a random variable can be high. In document classification, the number of distinct words that is the dimension of a prior for naïve Bayesian classifiers is generally more than ten thousand. Generalized Dirichlet priors can therefore be inapplicable for document classification from the viewpoint of computational efficiency. In this paper, some properties of the generalized Dirichlet distribution are established to accelerate the calculation of the expected values of random variables. Those properties are then used to construct noninformative generalized Dirichlet priors for naïve Bayesian classifiers with multinomial models. Our experimental results on two document sets show that generalized Dirichlet priors can achieve a significantly higher prediction accuracy and that the computational efficiency of naïve Bayesian classifiers is preserved.