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2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)最新文献

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Image restoration based on illumination correction 基于光照校正的图像恢复
Pub Date : 2011-12-01 DOI: 10.1109/ICCIAUTOM.2011.6183954
Li-Jie Peng, Chen Jian-jun, Zhixiong Shi, Li Lin, Shi Zhi-yong
Based on the analysis of resemble degradation character of the observed images, a fast image restoration algorithm using illumination correction is proposed in this paper. First, the fuzzy value of illumination parameters is estimated through fuzzy nonlinear regression method. Then, the whole damaged area can be restored by the whole-illumination correction method. The experimental results show that this algorithm has better ability in restoring both smooth area and edge-contained area. Compared with other image restoration algorithms, this method is better on the restoring time and the restoring effect.
在分析观测图像相似度退化特征的基础上,提出了一种基于照度校正的快速图像恢复算法。首先,通过模糊非线性回归方法估计照明参数的模糊值;然后,采用全照度校正方法对整个受损区域进行恢复。实验结果表明,该算法对光滑区域和边缘区域都有较好的恢复能力。与其他图像恢复算法相比,该方法在恢复时间和恢复效果上都有较好的优势。
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引用次数: 0
Research on trust model for distributed P2P networks 分布式P2P网络信任模型研究
Pub Date : 2011-12-01 DOI: 10.1109/ICCIAUTOM.2011.6183906
Zhiguang Qin, Lei Yang, Ting Zhong, Tian Lan
Many security risks are caused due to the nature of anarchy in P2P networks. It is an effective method to deal with these security problems by introducing the trust mechanism into the P2P networks. In this paper, some typical trust mechanisms were summarized, the latest systems and models are discussed, some problems faced by many researches are proposed and some ideas for future research are given.
P2P网络的无政府性质导致了许多安全风险。在P2P网络中引入信任机制是解决这些安全问题的有效方法。本文总结了一些典型的信任机制,讨论了最新的系统和模型,提出了许多研究面临的一些问题,并对未来的研究提出了一些想法。
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引用次数: 0
An novel method for optical affine transform based on MEMS optical cross-connect 基于MEMS光交叉连接的光学仿射变换新方法
Pub Date : 2011-12-01 DOI: 10.1109/ICCIAUTOM.2011.6183947
Li Li, Li-Jie Peng, Shi Zhiyong, C. Jianjun
Conventional optical affine transform is implemented by dove prisms, mirrors, and zoom lens,with the shortage of experimental adjustment difficulties, low accuracy, poor flexibility and stability. By studying the two-dimensional optical affine transform, a novel method for optical affine transform based on optical fiber bundle and MEMS (Micro- Electromechanical Systems) optical cross-connect is proposed, and an arbitrary optical affine transform is realized by making use of the switch property of MEMS combined with optical fiber bundle. The shortcomings of traditional methods can be overcome effectively by this way. Additionally, the optical affine transform can solve the bottleneck problem of speed in realizing image iterated function systems. Comparison of optical experiment results and simulation results proves the superiority of this method.
传统的光学仿射变换是由鸽子棱镜、反射镜和变焦透镜实现的,存在实验调节困难、精度低、灵活性和稳定性差等缺点。通过对二维光仿射变换的研究,提出了一种基于光纤束与微机电系统(MEMS)光交叉连接的光仿射变换新方法,利用MEMS与光纤束结合的开关特性实现了任意光仿射变换。这种方法可以有效地克服传统方法的缺点。此外,光学仿射变换可以解决图像迭代函数系统实现速度的瓶颈问题。光学实验结果与仿真结果的比较证明了该方法的优越性。
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引用次数: 0
A method based on Fa for herding dynamic automatic aggregation path-planning 一种基于Fa的动态自动聚合路径规划方法
Pub Date : 2011-12-01 DOI: 10.1109/ICCIAUTOM.2011.6184016
Liu Peng, Liu Hong, Yang Wenlu, Ding Ding
With the purpose of improving the problems in the existing research methods like high cost, poor diversity, low realistic level, insufficient emerging characteristics, a method for path-planning of Herding based on firefly algorithms is proposed in this paper according to the features of automatic aggregation scene in Group Animation. In the process of automatic aggregation of crowd, this method can automatically focus the optimal aggregation of the target point according to the dynamic external environment, without specifying the target aggregation point in advance. Then it can generate the movement path of each particle, and ensure that each generated aggregation path is not completely consistent. In this way, the group animation can fully reflect the emerging characteristics in real-world movement and further improve the realistic animation effects. This paper used VS2003+ACIS+HOOPS as a platform developing a system for path planning of dynamic automatic aggregation. Relevant experiments show that this method is able to achieve the effects of dynamic automatic aggregation and simulate the group behavior effectively, also can generate data support for 3D animation production.
针对现有研究方法中成本高、多样性差、逼真程度低、新兴特征不足等问题,本文根据群动画中自动聚合场景的特点,提出了一种基于萤火虫算法的羊群路径规划方法。在人群自动聚集过程中,该方法无需事先指定目标聚集点,可根据外部动态环境自动聚焦目标点的最优聚集。然后生成每个粒子的运动路径,并保证每个生成的聚集路径不完全一致。这样,群体动画可以充分体现现实世界运动中出现的特征,进一步提高动画的逼真效果。本文以VS2003+ACIS+HOOPS为平台,开发了动态自动聚合路径规划系统。相关实验表明,该方法能够达到动态自动聚合的效果,有效地模拟群体行为,为三维动画制作提供数据支持。
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引用次数: 0
Improved algorithm for pattern matching with independent wildcard gaps 具有独立通配符间隙的模式匹配改进算法
Pub Date : 2011-12-01 DOI: 10.1109/ICCIAUTOM.2011.6183974
Jun-yan Zhang, Fan Min
Pattern matching is critical in some applications such as biological sequence analysis and text filtering. A wildcard gap matches any subsequence with a length in a specified interval, and introduces much adaptability to patterns. However, most existing works require that gaps in a pattern be identical. In this paper, we define a new pattern matching problem where gaps are independently specified. We develop an efficient algorithm to compute the number of all matches based on pattern decomposed. Experimental results show that our algorithm has better performance in the aspects of time complexity and space complexity.
模式匹配在生物序列分析和文本过滤等应用中是至关重要的。通配符间隙匹配在指定间隔内具有长度的任何子序列,并引入了对模式的许多适应性。然而,大多数现有的作品要求在一个模式的差距是相同的。在本文中,我们定义了一个新的模式匹配问题,其中间隔是独立指定的。提出了一种基于模式分解的高效匹配数计算算法。实验结果表明,该算法在时间复杂度和空间复杂度方面都有较好的性能。
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引用次数: 0
Design of spatial science data search engine for global change research 面向全球变化研究的空间科学数据搜索引擎设计
Pub Date : 2011-12-01 DOI: 10.1109/ICCIAUTOM.2011.6184025
Fenglei Yang, Jianhui Li, Qinghui Lin, Xiaodong Li, Junfeng Yang
As global environmental issues become more prominent, global change research is receiving unprecedented attention. For the effective global change research, scientists urgently need a platform which can aggregate and manage the distributed, multi-sourced, heterogeneous spatial science data automatically. On the basis of analyzing the characteristics of spatial science data, this paper splits the scientific problem about automatic aggregation and management spatial science data into several sub-problems such as dynamic discovery of data resource and so on firstly. And designs the spatial science data search engine which can automatically aggregate and manage the distributed, multi-sourced, heterogeneous spatial science data secondly. The search engine which is a part of spatial data cloud has been used to aggregate and manage the MODIS data actually.
随着全球环境问题的日益突出,全球变化研究受到了前所未有的重视。为了有效地进行全球变化研究,科学家们迫切需要一个能够自动聚合和管理分布式、多源、异构空间科学数据的平台。在分析空间科学数据特点的基础上,首先将空间科学数据自动聚合与管理的科学问题分解为数据资源动态发现等若干子问题;其次设计了能够对分布式、多源、异构的空间科学数据进行自动聚合和管理的空间科学数据搜索引擎。搜索引擎作为空间数据云的一部分,已被实际用于MODIS数据的聚合和管理。
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引用次数: 0
Design and realization of mobile phone Cloud Shield System 手机云屏蔽系统的设计与实现
Pub Date : 2011-12-01 DOI: 10.1109/ICCIAUTOM.2011.6183955
Xue Liu, Q. Zhou, Wenjing Zhang
This paper designs and realizes a Cloud Shield System. Its main function is sharing mobile phone's SD card space so that mobile phone users can encrypt and back up files to each others' phone. And at the end of this paper, there is some analysis about improving the system.
本文设计并实现了一个云屏蔽系统。它的主要功能是共享手机的SD卡空间,以便手机用户可以加密和备份文件到对方的手机上。在本文的最后,对系统的改进进行了分析。
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引用次数: 0
A classification algorithm for multi-classes based on SVM 基于支持向量机的多类分类算法
Pub Date : 2011-12-01 DOI: 10.1109/ICCIAUTOM.2011.6183968
Lei Sun, Z. Duan
Support vector machine (SVM) constructs an optimal hyperplane utilizing a small set of vectors near boundary. The proximal SVM is an extremely simple procedure to generate linear and nonlinear classifier based on proximity to one of two parallel planes that are separated as far as possible. However, when the two-class are very unbalanced, the proximal SVM tends to fit better the class with more samples and has higher error in fewer samples. Further more, this draw back exists in K-category classification by using one-from-the-rest (OFR) separation for each class. To solve the problem, an improved SVM algorithm is presented in this paper. Experimental results show that the novel approach is prior to the proximal SVM.
支持向量机(SVM)利用边界附近的小向量集构造最优超平面。近端支持向量机是一个非常简单的过程,它基于与两个尽可能分开的平行平面之一的接近度来生成线性和非线性分类器。然而,当两类非常不平衡时,近端支持向量机往往更适合样本较多的类,并且在样本较少的情况下误差较大。此外,这种缺陷存在于k类分类中,通过对每个类使用一个从其余的(OFR)分离。为了解决这一问题,本文提出了一种改进的支持向量机算法。实验结果表明,该方法优于近端支持向量机。
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引用次数: 0
Intrusion Detection System based on combination of expert system and Bp neural network 基于专家系统和Bp神经网络相结合的入侵检测系统
Liang Zhou, Lixin Ke, K. Wu, Xitao Zheng
This paper aims to study the application of expert system combined with neural network in Intrusion Detection System. It brings improvement to BP algorithm of neural networks, meanwhile a series of rule sets have been created using the experience and knowledge from experts, scholars as well as professional forecasters. This benefits the simulation of human expert reasoning of the decision-making process and helps the judgments to create an expert system. Test shows improved efficiencies in intrusion detection than those with single BP algorithm.
本文旨在研究专家系统与神经网络相结合在入侵检测系统中的应用。它对神经网络的BP算法进行了改进,同时利用专家、学者和专业预测员的经验和知识创建了一系列规则集。这有利于模拟人类专家对决策过程的推理,并有助于建立专家系统的判断。测试结果表明,与单一BP算法相比,入侵检测效率有所提高。
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引用次数: 0
Adaptive control for a class of switched chaotic systems with uncertainty 一类不确定切换混沌系统的自适应控制
Pub Date : 2011-12-01 DOI: 10.1109/ICCIAUTOM.2011.6183895
Fengying Wang, Gui Li, L. Du
In the paper, the problems of chaos control for a class of switched chaotic systems with uncertainty is studied. Based on the adaptive control theory and common Lyapunov function method, a new adaptive controller is constructed, which can guarantee the switched chaotic systems asymptotic stability under arbitrary switchings. The results of simulation are given to show effectiveness of the proposed method.
研究了一类具有不确定性的切换混沌系统的混沌控制问题。基于自适应控制理论和常用的Lyapunov函数方法,构造了一种新的自适应控制器,保证了切换混沌系统在任意切换下的渐近稳定性。仿真结果表明了该方法的有效性。
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引用次数: 0
期刊
2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)
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