国画绘画元素在时装画中的创新运用

自20世纪20～30年代受西方影响最广泛的上海有了时装画的问世以来,我国时装文化也就发生了巨大的变化,直到70年代末80年代初,时装设计专业才在我国出现,时装画成为了一门专业必修课,从此改变了几十年服装裁剪书中只有款式说明图的现状,并视为服装文化的组成部分,并且越来越多样化。本文将我国传统绘画元素穿插运用于当代时装画进行自我风格的拓展,希望传统与现实能够紧密地融合起来,使时装画这门艺术繁荣兴旺。     

一种基于全Hash的整词二分词典机制

为提高整词二分词典机制的分词效率,分析现有分词词典机制,提出一种基于全Hash的整词二分词典机制。该机制将首字相同的词条按字数分组,并进行全词Hash,对Hash值相同的词条进行二分查找,从而减少词条匹配的次数。理论分析和实验结果表明,该机制的分词效率较高。     

A Chinese liquor classification method based on liquid evaporation with one unmodulated metal oxide gas sensor

Electronic nose has been widely used in the classification of liquid samples, such as vinegars, wines and liquors, which have complex components. The difficulty of these classifications is how to get the information of the trace components in these samples. In this paper a method for liquor recognition based on liquid evaporation was presented. This method makes use of the distinct evaporation characteristics of different components in liquor samples. And during the evaporation process, one metal oxide gas sensor was used to detect the headspace of liquor samples for classification. Due to the distinct evaporation characteristics of different components, volatile compounds in the headspace evaporating from samples would change with the testing time. Meanwhile, the gas sensor would respond to these volatile compounds. Accordingly, more information of liquor samples during evaporation may be acquired with the proposed method. To verify the performance of this method, 8 different Chinese liquors with 50% alcohol for comparison were tested under the method. The results showed that the evaporation characteristics of these liquor samples were quite distinct. The correct classification accuracy of discriminant function analysis was 100%, which indicated this method may be a simple and effective way for complex-component liquid sample analysis.     

An efficient ranging method based on Chinese remainder theorem for RIPS measurement

The radio interferometric positioning system(RIPS) measures the phase difference of the interference signal to provide high accuracy and at the same time maintain simple hardware configuration for wireless sensor networks.However, it suffers from phase ambiguity problem because of the periodicity of phase, which makes it hard to determine the actual distance difference only from a single phase measurement.To solve the problem, RIPS makes multiple measurements at different frequencies so as to determine the ...     

Efficient migration access control for mobile agents

The speed and convenience of the Internet has facilitated dynamic development in electronic commerce in recent years. E-commerce technologies and applications are widely studied by expert researchers. Mobile agent is considered to have high potential in e-commerce; it has been attracting wide attention in recent years. Mobile agent has high autonomy and mobility; it can move unbridled in different runtime environments carrying out assigned tasks while automatically detecting its current environment and responding accordingly. The above qualities make mobile agent very suitable for use in e-commerce. The Internet is an open environment, but transfer of confidential data should be conducted only over a secure environment. So, to transfer information over the Internet, a secure Internet environment is absolutely essential. Therefore, the security of present Internet environment must be improved. During its execution, a mobile agent needs to roam around on the Internet between different servers, and it may come in contact with other mobile agents or hosts; it may also need to interact with them. So, a mobile agent might come to harm when it meets a malicious host, and the confidentiality of data could also be compromised. To tackle the above problems, this paper proposes a security scheme for mobile agents. It is designed to ensure the safety of mobile agents on the Internet, and it also has access control and key management to ensure security and data confidentiality. Volker and Mehrdad [R. Volker, J.S. Mehrdad, Access Control and Key Management for Mobile Agents, “Computer Graphics”, Vol. 22, No. 4, August 1998, pp. 457–461] have already proposed an access control and key management scheme for mobile agents, but it needs large amount of space. So, this paper proposes a new scheme that uses the concepts of Chinese Remainder Theorem [F.H. Kuo, V.R.L. Shen, T.S. Chen, F. Lai, A Cryptographic Key Assignment Scheme for Dynamic Access Control in a User Hierarchy, “IEE Proceeding on Computers & Digital Techniques”, Vol. 146, No. 5, Sept. 1999, pp. 235–240., T.S. Chen, Y.F. Chung, Hierarchical Access Control Based on Chinese Remainder Theorem and Symmetric Algorithm, ”Computers & Security”, Vol. 21, No. 6, 2002, pp. 565–570., U.P. Lei, S.C. Wang, A Study of the Security of Mambo et al.'s Proxy Signature Scheme Based on the Discrete Logarithm Problem, June 2004], hierarchical structure and Superkey [S.G. Akl, P.D. Taylor, Cryptographic Solution to a Problem of Access Control in a Hierarchy, “ACM Transactions on Computer Systems”, Vol. 1, No. 3, August 1983, pp. 239–248]. A security and performance analysis of the proposed scheme shows that the scheme effectively protects mobile agents.     

基于Guide-filter的中国书法作品中印章信息的提取

针对中国书法作品中存在的印章信息难以准确提取的问题,提出基于Guide-filter的中国书法作品中印章信息的提取算法.算法充分利用Guide-filter具有较好保持图像边缘信息的能力,以及最大限度逼近目标信息的特性,以双阈值法得到的二值图像之间的残差图像作为Guide-filter的输入图像,以原始图像作为Guide-filter的引导图像,最终获得较为准确的印章信息.此外,利用边缘密度的概念,通过计算提取印章区域的边缘密度来对印章提取效果进行客观性评价.实验表明:提出算法能够较好地提取出中国书法作品中的印章信息.     

基于中国剩余定理的群签名改进方案

自陈泽文首次提出基于中国剩余定理的群签名后,已出现不少对其改进的方案,但仍未有方案在不使用第三方辅助签名或验证的情况下实现非关联性。针对这一问题,提出了一个基于中国剩余定理的群签名改进方案,通过结合子集覆盖框架中完备子树的方法来实现上述非关联性,以满足群成员安全、快速的加入和撤销,而无需改变其他成员私钥。该方案还实现了防权威陷害攻击。最后对其安全性和效率进行分析,并与现有方案进行对比,结果表明,所提方案具有一定的优势。     

农业搜索引擎中文分词工具对比

中文分词是中文语言处理技术中最关键的部分,被作为其中最重要的预处理手段广泛应用.本文主要分析和比较了ASPSeek、ICTCLAS、Paoding、MMseg、IK与JE六种分词工具对农业搜索引擎的影响.结果表明:在农业搜索引擎的应用效果中,分词准确性最优的是ICTCLAS分词工具,而F1测度最高的是JE分词工具.     

汉语未登录词的词义知识表示及语义预测

在此前的汉语未登录词语义预测中,构词相关的知识一直被当做预测的手段,而没有被视为一种有价值的知识表示方式,该文在“语素概念”基础上,深入考察汉语的语义构词知识,给出未登录词的“多层面”的词义知识表示方案。针对该方案,该文采用贝叶斯网络方法,构建面向汉语未登录词的自动语义构词分析模型,该模型能有效预测未登录词的“多层面”的词义知识。这种词义知识表示简单、直观、易于拓展,实验表明对汉语未登录词的语义预测具有重要的价值,可以满足不同层次的应用需求。     

PSO-GP中文文本情感分类方法研究

中文文本的情感倾向分析是网络舆情信息挖掘和分析的关键技术之一。提出了一种粒子群-高斯过程算法(PSO-GP)的中文文本情感倾向分类方法,采用粒子群优化算法(Particle Swarm optimization,PSO)进行高斯过程(Gaussian Process)超参数的最优搜索,解决了传统高斯过程中共轭梯度法迭代次数难确定、对初值依赖性强和易陷入局部极小值等问题。首先采用多线程网络爬虫技术采集文本数据组成语料库,构建特定领域情感词典,然后通过情感词匹配选择最有效的特征,降低数据维度,并利用TF-IDF算法计算特征词的权重以生成特征向量。最终,将测试样本输入PSO-GP分类模型。实验结果表明,与传统GP方法相比,提出的改进高斯过程分类模型的分类准确率提高了近15%。