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A Study of Hailstone Detection System Based on Radar Echo Reflectivity Image 基于雷达回波反射图像的冰雹探测系统研究
Pub Date : 2006-10-16 DOI: 10.1109/ISDA.2006.253874
Zhiying Lu, Yufeng Yang
Hailstone is one of the main meteorological disasters and it is very difficult to be forecasted effectively. A system of automatic recognition hail cloud is built base on the reflectivity image in this paper. The system deals the inputting image with the cut-down, filter, dilation and erosion process, and then the cloud is extracted from the image. A new concept called reflectivity density, which is used to distinguish hail cloud from rainstorm cloud, is defined. When recognized hailstone cloud the system will find the hailstone landing position by using Hough transform to detect hook echo or detecting the pixel with a reflectivity over 60 dBZ. This system is built on the Windows platform, and the experimental results validate the availability of the algorithm
冰雹是主要的气象灾害之一,很难对其进行有效预报。本文建立了基于反射率图像的雹云自动识别系统。该系统对输入图像进行裁剪、滤波、膨胀和侵蚀处理,然后从图像中提取云。定义了一个新的概念,称为反射率密度,用于区分冰雹云和暴雨云。当识别到冰雹云时,系统通过霍夫变换检测钩回波或检测反射率大于60 dBZ的像元来确定冰雹的降落位置。该系统建立在Windows平台上,实验结果验证了该算法的有效性
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引用次数: 0
Evaluation of Value-at-Risk for short term investment by using Cornish-Fisher expansion 用Cornish-Fisher展开评价短期投资的风险价值
V. Sakalauskas, D. Kriksciuniene
The article deals with value-at-risk (VaR), by using method, which does not require defining distribution of return of the financial instrument. We used Cornish-Fisher expansion, which allows evaluating the quintiles and VaR of the explored return distribution only by knowing its characteristics of skewness and kurtosis. This method allows achieving sufficient accuracy of VaR even from relatively small amount of experimental data of return. The empirical evaluation of VaR, by applying Cornish-Fisher expansion, is performed by using hourly trading data of EUR/USD long position
本文通过一种不需要定义金融工具收益分配的方法来处理风险价值(VaR)。我们使用了Cornish-Fisher展开式,该展开式允许仅通过知道其偏度和峰度特征来评估所探索的收益分布的五分位数和VaR。这种方法可以从相对较少的回报实验数据中获得足够的VaR精度。利用欧元/美元多头仓位每小时交易数据,运用Cornish-Fisher展开式对VaR进行实证评估
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引用次数: 0
Robotic Seam Tracking by Utilizing Arc Light 利用弧光进行机器人焊缝跟踪
Pub Date : 2006-10-16 DOI: 10.1109/ISDA.2006.253907
Xiaogang Liu, C. Xie
Vision-based seam tracking without auxiliary light is a popular topic concerning the intelligent welding robot. The Gordian Knot of the issue is image processing with much time spending in the welding course. First, according to the principle of paraboloid of revolution reflecting, this paper puts forward laying a paraboloidal mirror in specifically position above the tip of welding wire. A part of arc light is changed into parallel one by the mirror. The reflected light shines on the area where the CCD camera can see. So the visual seam is seen long and the arc light jamming is weakened in the CCD camera. Secondly, it will be discussed that the luminous flux of the area is assured. Then the Roberts algorithm for the processing image will be discussed in the aspect of the positiveness and negativeness of the gradient element, a rule that judged seam was brought forward. The rule increases the speed of seam tracking. A welding robot system with single camera fixed on the weld torch end-effector has been established for the robot to identify the welded seam by the reflected light. The simulation and results of real application have proved the validity of the method
基于视觉的无辅助光焊缝跟踪是智能焊接机器人研究的热点。问题的关键是焊接过程中耗费大量时间的图像处理。首先,根据旋转反射抛物面原理,提出在焊丝尖端上方的特定位置放置抛物面反射镜。反射镜使一部分弧光变成平行光。反射光照在CCD相机能看到的地方。从而使CCD相机的视缝变长,减弱了弧光干扰。其次,讨论该区域的光通量是有保证的。然后从梯度元素的正、负两个方面对处理图像的Roberts算法进行了讨论,提出了一种判断接缝的规则。该规则提高了焊缝跟踪的速度。建立了一种焊接机器人系统,该系统将单摄像头固定在焊炬末端执行器上,使机器人能够通过反射光识别焊缝。仿真和实际应用结果证明了该方法的有效性
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引用次数: 6
A Novel Method of P2P Hosts Detection Based on Flexible Neural Tree 基于柔性神经树的P2P主机检测新方法
Pub Date : 2006-10-16 DOI: 10.1109/ISDA.2006.253897
Zhenxiang Chen, Haiyang Wang, Lizhi Peng, Bo Yang, Yuehui Chen
It is estimated that 70 percent or more of broadband bandwidth is consumed by transporting music, games, video, and other content through P2P clients. In order to identify, and manage of P2P traffic, some port, payload and connection features based methods were proposed. But most of them focus on identifying P2P traffic based on rules and most of them can't identify P2P traffic with new features. None of the proposed methods can effectively help controlling and managing the P2P hosts. In this paper, we created a new P2P feature set, which include most of the proposed and new P2P features proposed by us. And a new anormaly detection method based on the feature set and flexible neural tree (FNT) is applied to detect P2P hosts. This approach is the first intelligent P2P hosts detection method. Experimental results show that the new method proposed by this paper has high detection performance and good expansion ability to add new P2P features. It can be easily applied to an on-line environment in our future planed work
据估计,通过P2P客户端传输音乐、游戏、视频和其他内容消耗了70%或更多的宽带带宽。为了对P2P流量进行识别和管理,提出了一些基于端口、有效载荷和连接特征的方法。但是大多数的方法都是基于规则来识别P2P流量,而不能识别具有新特征的P2P流量。这些方法都不能有效地控制和管理P2P主机。在本文中,我们创建了一个新的P2P特征集,它包含了我们提出的大部分P2P特征和新的P2P特征。提出了一种基于特征集和柔性神经树(FNT)的P2P主机异常检测方法。该方法是第一个智能P2P主机检测方法。实验结果表明,本文提出的新方法具有较高的检测性能和良好的扩展能力,可以添加新的P2P特征。它可以很容易地应用于我们未来计划工作的在线环境中
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引用次数: 1
Simulation on a Fuzzy-PID Position Controller of the CNC Servo System 数控伺服系统模糊pid位置控制器的仿真
Xiaodiao Huang, Liting Shi
Variation of the system parameters and external disturbances always happen in the CNC servo system. With a traditional PID controller, it will cause large overshoot or poor stability. In this paper, a fuzzy-PID controller is proposed in order to improve the performance of the servo system. The proposed controller incorporates the advantages of PID control which can eliminate the steady-state error, and the advantages of fuzzy logic such as simple design, no need of an accurate mathematical model and some adaptability to nonlinearity and time-variation. The fuzzy-PID controller accepts the error (e) and error change(ec) as inputs ,while the parameters kp, ki, kd as outputs. Control rules of the controller are established based on experience so that self-regulation of the values of PID parameters is achieved. A simulation model of position servo system is constructed in Matlab/Simulink module based on a high-speed milling machine researched in our institute. By comparing the traditional PID controller and the fuzzy-PID controller, the simulation results show that the system has stronger robustness and disturbance rejection capability with the latter controller which can meet the performance requirements of the CNC position servo system better
在数控伺服系统中,系统参数的变化和外部干扰是不可避免的。传统的PID控制器会造成超调量大或稳定性差。为了提高伺服系统的性能,本文提出了一种模糊pid控制器。该控制器结合了PID控制能消除稳态误差的优点和模糊逻辑控制设计简单、不需要精确的数学模型、对非线性和时变具有一定的适应性等优点。模糊pid控制器接受误差(e)和误差变化(ec)作为输入,参数kp, ki, kd作为输出。根据经验建立控制器的控制规则,实现PID参数值的自整定。以我所研制的高速铣床为例,利用Matlab/Simulink模块建立了位置伺服系统的仿真模型。通过对比传统PID控制器和模糊PID控制器,仿真结果表明,模糊PID控制器比传统PID控制器具有更强的鲁棒性和抗干扰能力,能更好地满足数控位置伺服系统的性能要求
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引用次数: 34
Classifying ABC Inventory with Multicriteria Using a Data Envelopment Analysis Approach 基于数据包络分析法的ABC库存多准则分类
Qing Liu, Dao Huang
This paper presents a modified data envelopment analysis (DEA) model to address ABC inventory classification. The new model is derived from reduced DEA model, and some restricts are added to make classification results more reasonable. The evaluating process has two steps. Firstly, all criteria data for each item are normalized between [0, 1]. Then, the prior scores for all inventory items are computed using the proposed model. A simulation example is employed to verify the efficiency of the model. The results show that this model is an effective ABC classification tool and the prior score of each item make classification credible. Furthermore, the classification result is compared with that of traditional analytic hierarchy process (AHP) methodology
本文提出了一种改进的数据包络分析(DEA)模型来解决ABC库存分类问题。新模型由简化的DEA模型推导而来,并加入了一些约束条件,使分类结果更加合理。评估过程有两个步骤。首先,对每个项目的所有标准数据在[0,1]之间进行归一化。然后,使用提出的模型计算所有库存项目的先验分数。仿真算例验证了该模型的有效性。结果表明,该模型是一种有效的ABC分类工具,每个项目的先验分数使分类可信。并将分类结果与传统的层次分析法(AHP)进行了比较
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引用次数: 21
An Enhanced Hybrid Quadratic Particle Swarm Optimization 一种改进的混合二次粒子群优化算法
Pub Date : 2006-10-16 DOI: 10.1109/ISDA.2006.253745
Tan Ying, Ya-Ping Yang, J. Zeng
Particle swarm optimization (PSO) is swarm-based stochastic optimization originating from artificial life and evolutionary computation. The algorithm completes the optimization through following the personal best solution of each particle and the global best value of the whole swarm. This paper improved the standard PSO's evolution equation on the foundation of analyzing standard PSO's model and its mechanisms, then presents a quadratic PSO and gives a strategy of self-adapting quadratic PSO parameters through comparing quadratic PSO with PSO and analyzing the impact that the parameters have on the performance of algorithm. Further, this paper presents a hybrid particle optimization combined their advantages on the basis of comparing quadratic PSO with PSO. The simulation illustrates the quadratic PSO improves the performance of the PSO and the self-adapting parameters strategy is better than the fixed parameters, and the hybrid PSO outperformed both standard PSO and quadratic PSO, the experimental results show that the methods are correct and efficient
粒子群优化(PSO)是起源于人工生命和进化计算的基于群体的随机优化方法。该算法通过遵循每个粒子的个人最优解和整个群体的全局最优值来完成优化。在分析标准粒子群算法模型及其机理的基础上,对标准粒子群算法的演化方程进行了改进,提出了一种二次粒子群算法,并通过对两种粒子群算法的比较,分析了参数对算法性能的影响,给出了自适应二次粒子群算法参数的策略。在对二次粒子群算法和粒子群算法进行比较的基础上,提出了一种结合两者优点的混合粒子优化算法。仿真结果表明,二次粒子群算法改进了粒子群算法的性能,自适应参数策略优于固定参数策略,混合粒子群算法优于标准粒子群算法和二次粒子群算法,实验结果表明该方法是正确和有效的
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引用次数: 11
The Shortest Path Problem in Uncertain Domains -- an Agent based Approach with Bayesian Networks 不确定域的最短路径问题——基于代理的贝叶斯网络方法
Pub Date : 2006-10-16 DOI: 10.1109/ISDA.2006.253739
W. Dangelmaier, B. Klöpper, Jens Wienstroer, T. Timm
Real world problems, e.g. from transport domain, are typically non-deterministic and uncertain. Although many approaches, especially form the area of operations research assume constant parameters like ride duration or availability of connections in networks, these parameters depend on a large number of influences and are not constant. The paradigm of Bayesian thinking teaches us, that we can use partial knowledge of the influences to derive better estimations of these variables. In this paper, we introduce a multiagent system (MAS) that implements a distributed hybrid Bayesian network and is able to create a dynamic probabilistic model of the shortest path problem, in order to create better estimation and thereby better plans
现实世界的问题,例如来自传输域的问题,通常是不确定和不确定的。尽管许多方法,特别是运筹学领域的方法,都假定诸如行驶时间或网络中连接的可用性等参数是恒定的,但这些参数取决于大量的影响因素,并不是恒定的。贝叶斯思维范式告诉我们,我们可以利用对影响的部分知识来更好地估计这些变量。在本文中,我们介绍了一个多智能体系统(MAS),它实现了一个分布式混合贝叶斯网络,并能够创建最短路径问题的动态概率模型,以便创建更好的估计,从而更好的计划
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引用次数: 2
Visual Protractor Based Localization Algorithm for Mobile Robot 基于视觉量角器的移动机器人定位算法
Wei Chen, Xuening Wang, Tao Wu, Xin Xu
Data fusion is an effective tool to improve the localization precision of a mobile robot. This paper presents a new algorithm to improve the precision of robot localization by fusing data from three kinds of sensors: encoders, a gyroscope and a camera. In the data fusion process, the camera is used as a visual protractor, which is a simple and robust way to process vision information but plays an important role in reducing the errors of localization in high slip-rate cases. An experiment of mobile robot localization is designed to test the efficiency of the algorithm. In this experiment, the localization precision of robots can be improved almost 400% when visual protractor is introduced
数据融合是提高移动机器人定位精度的有效工具。本文提出了一种融合编码器、陀螺仪和摄像机三种传感器数据的新算法,以提高机器人定位精度。在数据融合过程中,将摄像机作为视觉量角器,是一种简单、鲁棒的视觉信息处理方法,对于降低高滑移率情况下的定位误差具有重要作用。设计了一个移动机器人定位实验来验证该算法的有效性。在本实验中,引入视觉量角器后,机器人的定位精度可提高近400%
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引用次数: 0
Research on Integration Technology for Product Lifecycle Management System 产品生命周期管理系统集成技术研究
Pub Date : 2006-10-16 DOI: 10.1109/ISDA.2006.253767
Jian Cui, G. Qi
Product lifecycle management (PLM) is a uniform and integrated platform to support company operation. The integration of product data, the process and application are studied efficiently in this paper. Through constructing PDM platform, the nodes of BOM are applied to reengineer, restructure and extend, which forms the new structure-tree of data so as to realize the data-shared for the design, manufacture, sale, maintenance till callback throughout the whole PLM. On the basis of process integration, the paper adopts WBS to build the process modeling of system function, technology, action, organizing and resource aspects, and then complete the dynamic process management of interrelated systems. Finally, the uniform applied interface is presented to realize the integration of applied system between CAD, CAPP, ERP and PLM
产品生命周期管理(PLM)是支持公司运营的统一集成平台。本文对产品数据、过程和应用的集成进行了有效的研究。通过构建PDM平台,应用BOM的节点进行再工程、重构和扩展,形成新的数据结构树,从而实现整个PLM中从设计、制造、销售、维护到回调的数据共享。在过程集成的基础上,采用WBS建立系统功能、技术、行动、组织和资源等方面的过程建模,完成相关系统的动态过程管理。最后,提出了统一的应用接口,实现了应用系统在CAD、CAPP、ERP和PLM之间的集成
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引用次数: 5
期刊
Sixth International Conference on Intelligent Systems Design and Applications
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