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2008 ISECS International Colloquium on Computing, Communication, Control, and Management最新文献

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A Design of Time-Varying Auto-Adaptive Tracker 时变自适应跟踪器的设计
Xianfang Wang, Zhiyong Du, F. Pan
According to the unknown control direction strict feedback nonlinear systems, this paper introduced a design process for time-varying nonlinear adaptive controller by introducing the Nussbaum increasing and the dead area revision algorithm. Its stability is proved and analyzed, and its simulation is designed with the LMI MATLAB toolbox, the result shows that the controller has a good performance.
针对控制方向未知的严格反馈非线性系统,通过引入Nussbaum递增和死区修正算法,介绍了一种时变非线性自适应控制器的设计过程。对其稳定性进行了验证和分析,并利用LMI MATLAB工具箱对其进行了仿真设计,结果表明该控制器具有良好的性能。
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引用次数: 0
Sliding Mode Control of Active and Reactive Power for Brushless Doubly-Fed Machine 无刷双馈电机有功功率的滑模控制
Xiaohong Wang, Jinming Yang, Xian-yong Zhang, Jie Wu
The brushless doubly-fed machine (BDFM) has prospect application in the wind energy conversion system (WECS) for its abilities of speed regulation and variable-speed constant-frequency. The decoupled control of the active and reactive power is crucial to the applications of the BDFM in WECS. The robust control strategy based on sliding mode theory is applied for the independent control of active and reactive power of the BDFM. The controller is designed through the Lyapunov stable theory to ensure the stability of controller and achieve the required control result. The effect of the proposed method is tested with the matlab/simulink software. Simulation results illustrate the good performance of the controller and proves the power control strategy's feasibility.
无刷双馈电机(BDFM)由于具有调速、变频等特性,在风能转换系统中具有广阔的应用前景。有功功率和无功功率的解耦控制是BDFM在WECS中应用的关键。采用基于滑模理论的鲁棒控制策略对BDFM的有功功率和无功功率进行独立控制。通过李雅普诺夫稳定理论对控制器进行设计,保证了控制器的稳定性,达到了要求的控制效果。通过matlab/simulink软件对该方法的效果进行了验证。仿真结果表明了该控制器的良好性能,验证了功率控制策略的可行性。
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引用次数: 6
Spatial Feature Based Shadow Detection in Visual Traffic Surveillance System 基于空间特征的视觉交通监控系统阴影检测
Shaohua Xu, Yong Zhao, Chunyu Yu, Ling Shen
A shadow detection algorithm base on spatial features was proposed, in the case of focusing on traffic vehicle detection system. First of all, multi-foreground rectangles were extracted by using Gaussian mixture model (GMM) and edge detection operator of mathematical morphology. Then, histogram of horizontal location - foreground point number of vertical direction was computed, combined with optimum threshold segmentation, shadow areas were removed. To enhance the adaptability, the system learns direction relations between target and its shadow, automatically. Results were presented for several video sequences representing a variety of illumination conditions. Experimental results in different traffic conditions showed our technique robust, self-adaptive, and real-time.
针对交通车辆检测系统,提出了一种基于空间特征的阴影检测算法。首先,利用高斯混合模型(GMM)和数学形态学边缘检测算子提取多个前景矩形;然后,计算水平位置-垂直方向前景点个数直方图,结合最优阈值分割,去除阴影区域;为了增强自适应能力,系统自动学习目标与阴影之间的方向关系。给出了代表各种光照条件的几个视频序列的结果。在不同交通条件下的实验结果表明,该技术具有鲁棒性、自适应性和实时性。
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引用次数: 1
Network Synthetic Optimization in Project Schedule by Using PAAA Algorithm and Considered of Time Value of Money 考虑资金时间价值的PAAA算法在项目进度中的网络综合优化
Yuansheng Huang, Qingchao Liu, Zilong Qiu
From the view of how to get the biggest benefits by optimizing the project network schedule, the paper uses systemic method of controlling the construction schedule and puts forward a mathematical model which considers the synthetic optimization of the cost, the supply of resources and the influence of latent uncertainties. Then by changing the choose strategy and the local search strategy, the combining ant colony algorithms and particle swarm optimization algorithms (PAAA) is proposed and applied in the process of optimizing the model. Finally, an example is used to prove the method is effective.
本文从如何通过优化工程网络进度获得最大效益的角度出发,采用系统的方法对施工进度进行控制,提出了考虑成本、资源供给和潜在不确定性影响的综合优化数学模型。然后通过改变选择策略和局部搜索策略,提出了蚁群算法与粒子群优化算法(PAAA)相结合的方法,并将其应用于模型优化过程中。最后通过算例验证了该方法的有效性。
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引用次数: 1
Grey Cloud Model and Its Application in Intelligent Decision Support System Supporting Complex Decision 灰色云模型及其在复杂智能决策支持系统中的应用
Hongli Wang
In order to improve the support ability of dealing with the complex decision problem, grey cloud model and intelligent decision support system (IDSS) based on grey cloud model is proposed. A new uncertain model, grey cloud model is proposed. Firstly the definition depiction of grey model is given. Then representation uncertain of knowledge based on grey cloud model in knowledge database is proposed. The data mining method based on is proposed. Lastly the case of data mining based on grey cloud model in intelligent decision support system is given to verify the validity of grey cloud model. The innovation of method is that the grey cloud model and intelligent decision support system based on grey cloud objectively express the character of complex problem. This increases the support ability of dealing with the complex decision problem in IDSS.
为了提高处理复杂决策问题的支持能力,提出了灰色云模型和基于灰色云模型的智能决策支持系统(IDSS)。提出了一种新的不确定模型——灰云模型。首先给出了灰色模型的定义描述。然后提出了知识库中基于灰云模型的知识表示不确定性。提出了基于的数据挖掘方法。最后给出了基于灰云模型的数据挖掘在智能决策支持系统中的应用实例,验证了灰云模型的有效性。方法的创新之处在于灰色云模型和基于灰色云的智能决策支持系统能够客观地表达复杂问题的特征。这提高了系统处理复杂决策问题的支持能力。
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引用次数: 9
Is It Reasonable for Saaty's Consistency Test in the Pairwise Comparison Method? 两两比较法中Saaty一致性检验是否合理?
Wei-jun Xu, Yucheng Dong, Weilin Xiao
In the pairwise comparison method, Saaty's consistency test is performed to ensure that the decision maker is being neither random nor illogical in his or her pairwise comparisons. Saaty suggested that the consistency ratio (CR) should be less than or equal to 0.1. Some researchers argued that the cut-off rule should be a function of the matrix size. In this paper, by simulation analysis, we find that, as the matrix size increases, the percent of the matrices with acceptable consistency (CR les 0.1) decreases dramatically, however, on the other hand, there will be more and more contradictory judgements in these sufficiently consistent matrices. This paradox shows that it is impossible to find some proper critical values of CR for different matrix sizes. Thus we argue that Saaty's consistency test could be unreasonable.
在两两比较方法中,为了保证决策者的两两比较既不是随机的,也不是不合逻辑的,需要进行Saaty的一致性检验。Saaty建议一致性比(CR)应小于或等于0.1。一些研究者认为截止规则应该是矩阵大小的函数。本文通过仿真分析发现,随着矩阵大小的增大,具有可接受一致性(CR < 0.1)的矩阵所占比例急剧下降,但另一方面,在这些充分一致的矩阵中,会出现越来越多的相互矛盾的判断。这一悖论表明,对于不同的矩阵大小,不可能找到合适的CR临界值。因此我们认为Saaty的一致性检验可能是不合理的。
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引用次数: 17
A Practical Key Issuing Scheme in Identity-Based Cryptosystem 基于身份的密码系统中一个实用的密钥发布方案
Chang-ji Wang, Jing Liu
Secure key issuing in identity-based public key cryptosystems is a challenging task due to the inherent drawback of key escrow and the requirement for secure channel between the private key generator (PKG) and users. In this paper, we propose a practical key issuing scheme. User registers at a local registration authority in off-line manner, local registration authority signs and delivers authenticated userpsilas information to multiple PKGs in batch manner. The master key is generated by PKGs based on secure distributed key generation protocol, which solves the key escrow problem. The secure channel between the user and the PKGs are not needed by using blinding technique. The proposed scheme is more efficient than those of existing key issuing schemes and the security is proved under random oracle model.
由于密钥托管的固有缺点以及私钥生成器(PKG)和用户之间需要安全通道,在基于身份的公钥密码系统中,安全密钥发布是一项具有挑战性的任务。本文提出了一种实用的密钥发布方案。用户通过旁路方式在本地注册机构注册,本地注册机构签名,并将认证后的用户信息批量下发到多个pkg中。主密钥由pki基于安全的分布式密钥生成协议生成,解决了密钥托管问题。通过使用盲化技术,用户和pkg之间不需要安全通道。该方案比现有的密钥发布方案效率更高,并在随机oracle模型下证明了该方案的安全性。
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引用次数: 3
Research and Implementation of Next Generation Network Intrusion Detection System Based on Protocol Analysis 基于协议分析的下一代网络入侵检测系统的研究与实现
Guo-xiang Yao, Quanlong Guan, Liangjie Lin, Shu-qiang Huang, Guo-cheng Zhu, Hui-ping Zhang, Zhi Gao
An intrusion detection system which can work in IPv6 network environment is designed and implemented based on protocol analysis and pattern match technology in this paper. The system not only can fast detect system vulnerabilities and network intrusion events, but also possesses high accuracy and good performance. Furthermore, the system is tested using IDSwakeup. The test shows that the system can detect 90% of the attacking packets and lost hardly any packet when enormous and different types of vicious data packets generated by data packet generator are sent. So the system is efficient and quick-reacting IDS working in IPv6 environment.
本文基于协议分析和模式匹配技术,设计并实现了一个可以在IPv6网络环境下工作的入侵检测系统。该系统不仅能够快速检测系统漏洞和网络入侵事件,而且具有较高的准确率和良好的性能。此外,还使用IDSwakeup对系统进行了测试。测试表明,在数据包发生器产生的大量不同类型的恶意数据包发送时,系统能检测出90%的攻击报文,几乎没有丢包。因此,该系统是一种在IPv6环境下工作的高效、快速的入侵检测系统。
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引用次数: 6
Design of a Bionic Electronic Nose for Robot 机器人仿生电子鼻的设计
Xiaojun Zhang, Minglu Zhang, Jianguang Sun, Chunyan He
The robot assembled electronic nose has extensive applications, such as detecting toxic gases, searching explosives, detecting leakage, etc. Following the robot modular design concept, the paper designs a bionic electronic nose for robot, which has a human-like nasal cavity structure. It can simultaneously detect five kinds of different toxic gases, namely, CO, SO2, H2S, Cl2 and NH3, by using of electrochemical gas sensor array. The electrochemical gas sensor only responds to the specific gas, and has good selectivity and linear output, so the electronic nose dispenses with the pattern recognition algorithm in measuring multi-type gases simultaneously, which greatly reduces the operation task of olfactory system and improves the detection accuracy and efficiency to meet the robotpsilas real-time requirement, and can be conveniently changed corresponding gas sensors based on the target gases. By virtue of the compact structure, simple mechanical interface and communication interface, not only can the bionic electronic nose be used as a standardized component for all types of robots to help them to accomplish works related to olfaction, but also as a portable electronic nose applied to detect toxic gas in many fields.
机器人组装电子鼻具有广泛的应用,如检测有毒气体、搜索爆炸物、检测泄漏等。本文遵循机器人模块化设计理念,设计了一种具有仿人鼻腔结构的机器人仿生电子鼻。利用电化学气体传感器阵列,可同时检测CO、SO2、H2S、Cl2、NH3五种不同的有毒气体。电化学气体传感器只响应特定气体,具有良好的选择性和线性输出,因此电子鼻在同时测量多种气体时省去了模式识别算法,大大减少了嗅觉系统的操作任务,提高了检测精度和效率,满足了机器人机器人的实时性要求,并且可以根据目标气体方便地更换相应的气体传感器。仿生电子鼻结构紧凑,机械接口和通讯接口简单,不仅可以作为各类机器人的标准化部件,帮助机器人完成与嗅觉有关的工作,还可以作为便携式电子鼻,应用于许多领域的有毒气体检测。
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引用次数: 12
A Weighted Fuzzy Clustering Algorithm for Data Stream 数据流的加权模糊聚类算法
Renxia Wan, Xiaoya Yan, Xiaoke Su
Mining data streams poses great challenges due to the limited memory availability and real time query response requirement. One of the most important mining tasks is clustering. There already lots of clustering algorithms for data stream have been presented. Fuzzy cluster is an important clustering method. However, to the best of our knowledge, all the clustering algorithms are hard clustering methods, fuzzy clustering algorithm is presently not used directly for data streams. Fuzzy c-means (FCM) is a typical fuzzy clustering algorithm. In this paper, we extend FCM and propose a weighted fuzzy algorithm for clustering data stream. Experimental results on both synthetic and real data sets show its superiority over the traditional FCM algorithms.
由于有限的内存可用性和实时查询响应要求,对数据流的挖掘提出了很大的挑战。最重要的挖掘任务之一是聚类。针对数据流的聚类算法已经有很多。模糊聚类是一种重要的聚类方法。然而,据我们所知,所有的聚类算法都是硬聚类方法,模糊聚类算法目前还没有直接用于数据流。模糊c均值(FCM)是一种典型的模糊聚类算法。本文对FCM进行了扩展,提出了一种用于数据流聚类的加权模糊算法。在合成数据集和真实数据集上的实验结果表明,该算法优于传统的FCM算法。
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引用次数: 25
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2008 ISECS International Colloquium on Computing, Communication, Control, and Management
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