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2010 Second International Conference on Computational Intelligence and Natural Computing最新文献

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A seventh-order convergent Newton-type method for solving nonlinear equations 求解非线性方程的七阶收敛牛顿型方法
Yunhong Hu, Liang Fang
In this paper, we present a seventh-order convergent Newton-type method for solving nonlinear equations which is free from second derivative. At each iteration it requires three evaluations of the given function and two evaluation of its first derivative. Therefore its efficiency index is equal to equation which is better than that of Newton's method √2. Several examples demonstrate that the algorithm is more efficient than classical Newton's method and other existing methods.
本文给出了求解无二阶导数非线性方程的一种七阶收敛牛顿型方法。在每次迭代中,它需要对给定函数进行三次求值,并对其一阶导数进行两次求值。因此它的效率指数等于方程,它比牛顿法的效率指数好√2。算例表明,该算法比经典牛顿法和其他现有方法更有效。
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引用次数: 2
A study of feature determine-based compressed image retrieval 基于特征确定的压缩图像检索方法研究
Zikun Liu, Jianfeng Wang
The distance measure for features is of critical importance for all kind of classification methods in image retrieval algorithm. In this paper, we propose to introduce the Mahalanobis distance and additional Whirling correlation test to formulate a combined content similarity detection with discrete walsh transform (DWT). We show that, with the same content based image retrieval algorithm, adding Mahalanobis distance to the existing operational process can improve the performance of content based image retrieval significantly. Finally, In a series of experiments we show the improved noise robustness of image retrieval by the proposed modifications in contrast to the traditional approach.
在图像检索算法中,特征的距离度量是各种分类方法的关键。在本文中,我们提出引入马氏距离和附加的Whirling相关检验,形成一种结合离散walsh变换(DWT)的内容相似度检测方法。我们的研究表明,在相同的基于内容的图像检索算法下,在现有的操作过程中加入马氏距离可以显著提高基于内容的图像检索的性能。最后,在一系列实验中,我们证明了与传统方法相比,所提出的改进方法提高了图像检索的噪声鲁棒性。
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引用次数: 0
Research on the digital coupon of mobile two-dimensional code based on RSA digital signature 基于RSA数字签名的移动二维码数字优惠券研究
H. Meng, Dejia Zhang
digital coupon is an application system which makes the coupon circulating on internet by the digital forms. The real commercial system hasn't presented yet in current domestic. The problem lies in the function realization of transferring, prevention of repeated consumption and non-repudiation. In this research, the author puts forward with a set of solutions for digital coupon system based on authentication technology of digital signature, and carried by mobile two-dimensional code by analyzing the relevant studies at home and aboard, and integrating the current popular encryption and transmission technology. The testing system resulted by this study is with innovation, good implementation efficiency and practicality. The obtained theory and experience can be a meaningful reference to other studies in relevant fields.
数字优惠券是以数字形式使优惠券在互联网上流通的一种应用系统。目前国内尚未出现真正的商业化系统。问题在于转移功能的实现、防止重复消费和不可抵赖性。本研究在分析国内外相关研究的基础上,结合目前流行的加密和传输技术,提出了一套基于数字签名认证技术,以移动二维码为载体的数字优惠券系统解决方案。该测试系统具有创新性,具有较好的实施效率和实用性。所获得的理论和经验可以为其他相关领域的研究提供有意义的参考。
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引用次数: 3
Research on active learning based computer viruses detection approaches 基于主动学习的计算机病毒检测方法研究
Ou Qingyu, Z. Dawei
As traditional computer viruses detection approaches update slowly and have poor ability in detecting unknown viruses, active learning is well-suited to many problems in viruses detect processing, where unlabeled data may be abundant but annotationis slow and expensive. This paper aim to shed light on the application of the active learning theory in computer viruses detection. Moreover, to improve the precision of the virus detection and the efficiency of the active learning process, query function based on the uncertainty based sampling is realized. Experiments' results show that the model has very good detection precision against unknown computer viruses and can greatly shorten the training time and reduce the requirements of the training data and improve the learning efficiency of the system.
由于传统的计算机病毒检测方法更新缓慢,对未知病毒的检测能力较差,主动学习非常适合解决病毒检测处理中的许多问题,这些问题中未标记数据可能很丰富,但注释速度慢且成本高。本文旨在阐明主动学习理论在计算机病毒检测中的应用。此外,为了提高病毒检测的精度和主动学习过程的效率,实现了基于不确定性采样的查询功能。实验结果表明,该模型对未知计算机病毒具有很好的检测精度,可以大大缩短训练时间,降低对训练数据的要求,提高系统的学习效率。
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引用次数: 1
Fuzzy assessment method of professional skill based on feedback amendment 基于反馈修正的专业技能模糊评价方法
Xu Qinghua, Lili Tao, Sun Chuan, Ding Wanjing
According to the requirements and characteristics of operational skills, we need to build analysis of relations between assessment index and operational skills and use fuzzy comprehensive methods to evaluate in order to improve the scientific and reliability of mechanical operation skills assessment. For reducing the human subjective factors, we use AHP to determine the index weight. Using fuzzy set transformation principle, fuzzy assessment matrix is constructed. This paper also gives a method of professional skill fuzzy assessment based on feedback.
根据操作技能的要求和特点,需要建立评价指标与操作技能的关系分析,采用模糊综合评价方法进行评价,以提高机械操作技能评价的科学性和可靠性。为减少人为主观因素,采用层次分析法确定指标权重。利用模糊集变换原理,构造模糊评价矩阵。提出了一种基于反馈的专业技能模糊评价方法。
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引用次数: 0
A new evidence fusion approach for decision of proactive service 一种新的主动服务决策证据融合方法
De-gan Zhang, C. Li, Wei-Wei Li, Xu-yan Chen
Multi-source heterogeneous information fusion is an extremely challenging problem because of the complex and highly irregular nature of environment. We consider decision fusion problem in the presence of m-dependent evidences in this paper. A new evidence fusion approach for decision of proactive service has introduced, which is extending of Class D-S Evidence method. We applied this approach in our active space project for seamless nomadic service of pervasive computing paradigm, good results have been attained. The validity of approach of this paper has been tested.
由于环境的复杂性和高度不规则性,多源异构信息融合是一个极具挑战性的问题。本文考虑存在m相关证据的决策融合问题。介绍了一种新的主动服务决策证据融合方法,它是D-S类证据方法的扩展。我们将此方法应用于普适计算范式的无缝游牧服务的活动空间项目中,取得了良好的效果。本文方法的有效性得到了验证。
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引用次数: 0
Interior-point method for second-order cone programming based on a simple kernel function 基于简单核函数的二阶锥规划的内点法
Li Dong, Jingyong Tang
Interior-point methods not only are the most effective methods in practice but also have polynomial-time complexity. In this paper we present a primal-dual interiorpoint algorithm for second-order cone programming problems based on a simple kernel function. We derive the iteration bounds O(nlogε/n over n) and O(√nlogε/n over n) for large- and small-update methods, respectively, which are as good as those in the linear programming.
内点法是实践中最有效的方法,但具有多项式的时间复杂度。本文提出了一种基于简单核函数的二阶锥规划问题的原-对偶内点算法。我们分别导出了大更新方法和小更新方法的迭代界O(nlogε/n /n)和O(√nlogε/n /n),它们与线性规划中的迭代界一样好。
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引用次数: 2
Study on the Organization Information Security Investment Decision-Making Based on the Limited Strategy Game Theory Perspective 基于有限策略博弈论视角的组织信息安全投资决策研究
Liu Zeshuang, Li Jing
Information security is currently a variety of institutions and organizations around the world one of the problems to be addressed letter. Only concerned with the past, information security and technology research is different from the issue of information security is actually including technology, management and legal, including systems engineering, in which investment in information security management issue is one of the important issues. Of information security investment has a unique dependence of the characteristics of the strategy, this strategy is the dependence of the basic features of game theory, so this strategy game with limited research organization of information security investment decision-making, provide a new approach to address the organization's information security investment decision-making problem.
信息安全是目前世界各地各种机构和组织亟待解决的问题之一。过去只关注信息安全与技术研究不同,信息安全问题实际上包括技术、管理和法律,包括系统工程,其中投资信息安全管理问题是重要问题之一。信息安全投资具有独特的依赖策略的特征,这种依赖策略是博弈论的基本特征,因此本文用有限博弈策略研究组织的信息安全投资决策,为解决组织的信息安全投资决策问题提供了一种新的途径。
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引用次数: 1
Multi-document Relationship Model for a same subject and its application in automatic summarization 同一主题的多文档关系模型及其在自动摘要中的应用
Hao Bai, De-xiang Zhou
In this paper, we proposed Multi-document Relationship Model for a same subject and applicated it in automatic summarization. By using the relationship between text units in different level and information of time and sequence of event contained into document set, this model fuse many documents to extract summarization automatically under not reducing the information in original documents. This model simplied the triditional model presented by cross structure theory and simultaneously, replenish the evolution and distribution information of subject which lacked in information fusion. This paper gives some algorithm about construction of the model, information fusion for multi-document and summarization extraction and so on. Experiment results implied that the model proposed in this paper can solve the problem of summarization extraction for multi-document very well.
本文提出了同一主题的多文档关系模型,并将其应用于自动摘要中。该模型利用不同层次的文本单元之间的关系以及文档集中所包含的时间和事件顺序信息,在不减少原始文档信息的前提下,融合多篇文档自动提取摘要。该模型简化了交叉结构理论提出的传统模型,同时补充了信息融合中缺乏的主体演化和分布信息。本文给出了模型构建、多文档信息融合、摘要提取等算法。实验结果表明,本文提出的模型可以很好地解决多文档摘要抽取问题。
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引用次数: 0
A novel generic framework of event detection in unmanned aerial videos 一种新的无人机视频事件检测通用框架
Yulong Tian, J. Lu, Yang Li, Jiabao Wang
The research on event detection in unmanned aerial videos has received a large attention in the recent years. Plenty of methods have been proposed in this area. However, there is no agreement on which methods fit well for the application in the unmanned aerial videos and which methods fit well for certain event detection. In this paper, we present a framework for event detection in unmanned aerial videos and proposed a series of events to be detected. We mainly divide these events into two categories according to whether the event subject can be well detected and tracked, and all of them are rule-based and model-based. The framework we proposed will adapt to the event detection task. In rule-based event detection, we will give some design methods by way of examples. And in model-based event detection, we will introduce some popular methods in this area and will give out evaluation methods.
近年来,无人机视频事件检测的研究受到了广泛关注。在这方面已经提出了许多方法。然而,对于哪些方法适合无人机视频中的应用,哪些方法适合某些事件的检测,目前还没有达成一致意见。本文提出了一种无人机视频事件检测框架,并提出了一系列需要检测的事件。我们主要根据事件主体能否被很好地检测和跟踪,将这些事件分为两类,都是基于规则和基于模型。我们提出的框架将适应事件检测任务。在基于规则的事件检测中,我们将通过实例给出一些设计方法。在基于模型的事件检测中,我们将介绍该领域的一些流行方法,并给出评价方法。
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引用次数: 1
期刊
2010 Second International Conference on Computational Intelligence and Natural Computing
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