保留Word文档的修改痕迹

介绍几种保留Word文档的修改痕迹的方法.     

Similarity retrieval of iconic image database

The perception of spatial relationships among objects in a picture is one of the important selection criteria to discriminate and retrieve the images in an iconic image database system. The data structure called 2D string, proposed by Chang et al., is adopted to represent symbolic pictures. The 2D string preserves the objects' spatial knowledge embedded in images. Since spatial relationship is a fuzzy concept, the capability of similarity retrieval for the retrieval by subpicture is essential. In this paper, similarity measure based on 2D string longest common subsequence is defined. The algorithm for similarity retrieval is also proposed. Similarity retrieval provides the iconic image database with the distinguishing function different from a conventional database.     

Inference and retrieval of facial images

Attempts have been made to extend SQL to work with multimedia databases. We are reserved on the representation ability of extended SQL to cope with the richness in content of multimedia data. In this paper we present an example of a multimedia database system, Computer Aided Facial Image Inference and Retrieval system (CAFIIR). The system stores and manages facial images and criminal records, providing necessary functions for crime identification. We would like to demonstrate some core techniques for multimedia database with CAFIIR system. Firstly, CAFIIR is a integrated system. Besides database management, there are image analysis, image composition, image aging, and report generation subsystems, providing means for problem solving. Secondly, the richness of multimedia data urges feature-based database for their management. CAFIIR is feature-based. A indexing mechanism,iconic index, has been proposed for indexing facial images using hierarchical self-organization neural network. The indexing method operates on complex feature measures and provides means for visual navigation. Thirdly, special retrieval methods for facial images have been developed, including visual browsing, similarity retrieval, free text retrieval and fuzzy retrieval.     

模糊聚类在股票投资中的应用

聚类分析即将一组事物根据其性质上亲疏远近的程度进行分类,把性质相近的个体归为一类,使得同一类中的个体具有高度的同质性,不同类之间的个体具有高度的异质性。模糊聚类分析是现今模糊理论应用最广泛和最富成果的技术之一。阐述模糊聚类的理论,以部分石油股票为例,抽取影响石油股票收益因素的数据,利用最大最小法建立相似矩阵,用传递闭包法作出聚类分析,并进行总结。     

基于线性动态系统稀疏编码的异常事件检测

线性动态系统模型结合稀疏编码实现异常事件检测。线性动态系统可有效地捕捉动态纹理在时间和空间的转移信息,描述视频的时空小块。然而,线性动态系统属于非欧氏空间,无法直接用传统的稀疏编码进行异常检测。基于约束凸优化公式,将相似性变换与稀疏编码结合,可实现线性动态系统稀疏编码的优化求解。实验表明,所提出的方法具有更好的性能。     

室内车辙试验的相似性分析

为了分析室内车辙试验与实际沥青路面结构受力状态的相似性,基于相似理论采用有限元数值模拟的方法建立了室内车辙试验改进模型.首先,应用相似理论推导出沥青路面结构和车辙试验改进模型各参量间的相似关系;其次,选用3种典型的路面结构,利用有限元软件ABAQUS进行数值模拟,得出这3种结构在双轮荷载作用下的荷载影响范围,进而应用相似理论得出路面全结构的车辙试验模型尺寸,应用力学响应等效,最终确定复合板结构车辙试验改进模型的所有参数并进行车辙试验验证了改进模型的正确性.     

云计算中基于随机游走的数据查询方法研究

针对数字图书馆应用服务中的数据查询问题,提出了一种基于云计算的数据查询方法.首先,基于Random Walk方法找到查询请求的目标节点,然后,通过定义服务节点的相似节点集和等价节点集来进行二次搜索,返回具有最大评价值和最低负载的节点和数据作为所需的目标节点及数据.实验结果表明,在查询的数据质量、服务节点的负载能力以及查询的效率方法都优于传统的方法.     

基于Word文档的数据隐藏方法

在分析当前数据隐藏与恢复相关技术研究基础上,参照微软官方最新公布的复合文档存储规范,从利用载体Word文档现有空间中未真正使用部分和适度扩展新空间两条思路出发,设计一种利用Word文档作载体隐藏秘密信息的解决方案,包括在文字、各种嵌入式对象及其相应控制结构数据中隐藏信息。实践表明,隐藏数据后的载体文档可以被正常拷贝和使用电子邮件传送,根据需要隐藏的信息随机选择使用该方案,被隐藏信息更不容易被侦测出来,被二次编辑后被隐藏信息一般不会被破坏,鲁棒性不错,具有一定的实用价值。     

相位可控双路同频信号源的FPGA部分设计与实现

介绍了直接数字频率合成(DDS)技术的基本原理,给出了基于Altera公司FPGA器件的相位可调双路同频正弦信号发生器的设计方案,同时给出了其软件程序和试验结果。试验结果表明:该方法生成的双路同频正弦信号具有波形失真小、频率和相位精度高,且输出频率与相位可调等优点。     

Dominance-based rough set approach and knowledge reductions in incomplete ordered information system

Many methods based on the rough set to deal with incomplete information systems have been proposed in recent years. However, they are only suitable for the incomplete systems with regular attributes whose domains are not preference-ordered. This paper thus attempts to present research focusing on a complex incomplete information system—the incomplete ordered information system. In such incomplete information systems, all attributes are considered as criterions. A criterion indicates an attribute with preference-ordered domain. To conduct classification analysis in the incomplete ordered information system, the concept of similarity dominance relation is first proposed. Two types of knowledge reductions are then formed for preserving two different notions of similarity dominance relations. With introduction of the approximate distribution reduct into the incomplete ordered decision system, the judgment theorems and discernibility matrixes associated with four novel approximate distribution reducts are obtained. A numerical example is employed to substantiate the conceptual arguments.