产品语义学——企业产品语言的创造

产品语义学是研究产品语言的表达意义。产品造型除表达其功能性目的以外,还要透过其语义特征来传达产品的整体视觉感受,传递出企业产品特性,同时还包括使用方式、文化内涵,并体现特定社会的时代感和价值取向。正如法国著名符号学家皮埃尔·杰罗所说的,在很多情况下,人们并不是购买具体的物品,而是在寻求潮流、青春和成功的象征。本文从企业产品设计角度研究产品设计的差异化竞争,主要探讨产品语义学是如何帮助企业进行完成独特产品语言的塑造;如何向消费者传达整体的产品视觉感受,以达到独特的企业产品视觉识别的目的。     

基于不可见字符的主副式网页信息隐藏算法

目前国内外网页信息隐藏算法大多侧重于研究如何提高隐藏效率和扩充隐藏容量,而忽视了信息隐藏算法的安全性。为此,提出了一种基于不可见字符的主副式网页信息隐藏(PSWIH)算法,即以ASCII编码下的不可见字符为主方式实现信息隐藏,并以改变标签大小写、嵌入与待隐藏信息不相关的不可见字符、改变标签属性对顺序为副方式实现信息检测干扰。实验结果表明,相对于基于标签大小写、基于属性对顺序、基于不可见字符方法,PSWIH算法具有更好的不可感知性、抗提取性及鲁棒性。     

现代汉字形声字声符在普通话中的表音度测查

“形声”作为一种重要的造字方式,构筑了汉字家族中最为庞大的一支。造字之初,形声字以形符表义,以声符表音。随着时代的发展,声符的表音度渐渐发生变化,为人们准确地标音读字造成了一定困难。该文试采用聚类分析的方法,以普通话中3 500常用汉字为对象,结合语言学理论和计算机知识,依据声符表音程度相同、相似和不同制定详细分级标准,并得到每一层级的形声字表和百分数据,从而对现代汉字中形声字声符的表音度情况进行系统、直观而全面地呈现,以期为现代汉字规范的制定和汉语教学提供一定的参考和佐证。     

依据流统计特性的报文分类规则集动态优化*

本文针对普遍使用的线性搜索报文分类方法在时间效率方面的固有弱点,设计了一种依据数据流统计特性的规则集自适应动态优化算法。其中包括：规则权重计算,规则优化排序,动态触发优化等部分。在占用较少资源的情况下,较为有效地提高了系统性能,并经实验结果证明,应用效果良好。     

Binding Virtual Environments to Toolkit Capabilities

There are many toolkits and development environments that aid the process of constructing virtual environment applications. Many of these development environments encourage customising a virtual environment's design while rapid prototyping within the confines of a toolkit's capabilities. Thus the choice of the technology and its associated support has been made independent of the end-use requirements of the final system. This can bias a virtual environment's design by implementation based constraints. We propose that an alternative approach is the consideration of virtual environment requirements in the context of an inspectable design model, to identify the requirements that a toolkit will need to support. In the context of an example, we present a selection of design requirements that we consider important for virtual environment design in general. We explore how these requirements might be mapped to different capabilities using Virtual Reality Modelling Language (VRML) as a concrete example of a platform technology.     

A Novel Approach Makes Higher Order Wavelets Really Efficient for Radiosity

Since wavelets were introduced in the radiosity algorithm ⁵, surprisingly little research has been devoted to higher order wavelets and their use in radiosity algorithms. A previous study ¹³ has shown that wavelet radiosity, and especially higher order wavelet radiosity was not bringing significant improvements over hierarchical radiosity and was having a very important extra memory cost, thus prohibiting any effective computation. In this paper, we present a new implementation of wavelets in the radiosity algorithm, that is substantially different from previous implementations in several key areas (refinement oracle, link storage, resolution algorithm). We show that, with this implementation, higher order wavelets are actually bringing an improvement over standard hierarchical radiosity and lower order wavelets.     

Interpolatory √3-Subdivision

We present a new interpolatory subdivision scheme for triangle meshes. Instead of splitting each edge and performing a 1-to-4 split for every triangle we compute a new vertex for every triangle and retriangulate the old and the new vertices. Using this refinement operator the number of triangles only triples in each step. New vertices are computed with a Butterfly like scheme. In order to obtain overall smooth surfaces special rules are necessary in the neighborhood of extraordinary vertices. The scheme is suitable for adaptive refinement by using an easy forward strategy. No temporary triangles are produced here which allows simpler data structures and makes the scheme easy to implement.     

一种中文文档的非受限无词典抽词方法

本文提出了一种非受限无词典抽词模型,该模型通过自增长算法获取中文文档中的汉字结合模式,并引入支持度、置信度等概念来筛选词条。实验表明:在无需词典支持和利用语料库学习的前提下,该算法能够快速、准确地抽取中文文档中的中、高频词条。适于对词条频度敏感,而又对计算速度要求很高的中文信息处理应用,例如实时文档自动分类系统。     

完全基于结构知识的汉字笔画抽取方法

从汉字结构知识出发,提出了一种从汉字图像直接抽取笔画的算法,给出了抽取横、竖、撇、捺４种笔画的完全量化的昨去除不同字体的笔画修饰噪声的规则,该方法较好地解决了各笔画的相交、相连及噪声排队等总理２,综在汉字识别及字体自动生成等汉字信息处理方面有重要作用。     

手写体汉字在特征空间的可视化分析

手写体汉字特征一般在几百维以上,在这样的高维空间中,汉字样本是如何分布的?本文从可视化的角度对这一问题进行了探讨。论文首先给出了所选用的汉字特征的定义,然后对一些具有代表性的汉字实例,从K-L变换法、线性投影法和非线性投影法三个方面,对汉字在特征空间的分布问题进行了可视化分析,结果表明,可视化分析可以帮助人们了解汉字在特征空间的分布情况,对改进识别器的性能具有指导意义。