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International Conference on Information Acquisition, 2004. Proceedings.最新文献

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YSS2000: a configuration software system for industrial monitoring and controlling YSS2000:工业监控组态软件系统
Pub Date : 2004-06-21 DOI: 10.1109/ICIA.2004.1373413
Gang Li, Jing Ying, Ming-hui Wu
As a configuration software system for industrial monitoring and controlling, YSS2000 is implemented. It consists of three subsystems for effective and convenient usage. For compatibility to different device types, the device configuration subsystem provides message format configuration and variable configuration. For high real-time, reliability, stability and safety in the running subsystem, the data management structure is composed of two parts (real-time database in memory and history database in disk); in the communication module, the structure of message sending and receiving queues is maintained; and double online standby technology is applied. A configuration language C2000 enables users to configure complicated and powerful functions.
YSS2000是一种用于工业监控的组态软件系统。它由三个子系统组成,以有效和方便地使用。为了兼容不同的设备类型,设备配置子系统提供了消息格式配置和变量配置。为了保证运行子系统的实时性、可靠性、稳定性和安全性,数据管理结构由两部分组成(内存中的实时数据库和磁盘中的历史数据库);在通信模块中,维护了消息发送和接收队列的结构;采用双在线待机技术。C2000是一种配置语言,使用户能够配置复杂而强大的功能。
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引用次数: 4
A low-cost tracking method based on magnetic marker for capsule endoscope 基于磁标记的胶囊内窥镜低成本跟踪方法
Pub Date : 2004-06-21 DOI: 10.1109/ICIA.2004.1373426
Xiaona Wang, M. Meng, Yawen Chan
In this paper, a position tracking method based on a magnetic marker and hall sensors array, which could be used in capsule endoscope localization, is introduced. The experiment setup is shown, together with the minimization algorithm to analyze the data. It was demonstrated that the calculated position errors could be around 2mm when the marker is moving with a velocity of 2mm/s. Compared with other tracking system, this system cost much lower.
介绍了一种基于磁标记和霍尔传感器阵列的胶囊内窥镜定位跟踪方法。给出了实验设置,并给出了最小化算法对数据进行分析。结果表明,当标记以2mm/s的速度运动时,计算得到的位置误差在2mm左右。与其他跟踪系统相比,该系统的成本大大降低。
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引用次数: 22
Frequency domain analysis for feedback-assisted iterative learning control 反馈辅助迭代学习控制的频域分析
Pub Date : 2004-06-21 DOI: 10.1109/ICIA.2004.1373307
Xinhe Xu, Ping Li, Shuchen Li
Stability and convergence of the feedback-assisted iterative learning control (FBAILC) was analyzed for the frequency domain, compared with the pure feedback control (FBC), and proposed the equivalent FBC with FBAILC. Furthermore, the iterative learning action of previous bias errors was strengthened to a given controlled plant. Feedback control action had to be reduced so that the overall magnitude was unvarying, therefore, the restrained action for the current disturbance would be weakened. The proposed method was demonstrated by simulation results.
在频域分析了反馈辅助迭代学习控制(FBAILC)的稳定性和收敛性,并与纯反馈控制(FBC)进行了比较,提出了与FBAILC等价的FBC。此外,将先前偏差的迭代学习作用增强到给定的被控对象。必须减少反馈控制作用,使总体幅度不变,因此,对电流干扰的约束作用将被削弱。仿真结果验证了该方法的有效性。
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引用次数: 6
An improved moment-preserving auto threshold image segmentation algorithm 一种改进的保矩自动阈值图像分割算法
Pub Date : 2004-06-21 DOI: 10.1109/ICIA.2004.1373378
Shi-tu Luo, Qi Zhang, F. Luo, Yanling Wang, Zhiyong Chen
When moment-preserving auto threshold algorithm is used to segment image whose histogram is unimodal or monotonic function, there is serious background interference, and the segmentation accuracy is greatly affected by the size variance of the object, so this paper puts forward an improved moment-preserving auto threshold algorithm. Aiming at the original algorithm's shortage of neglecting image details, this algorithm takes advantage of the feature that the grey level difference between object borders and adjacent background is great while the difference among pixels in an object region or background region is small, and then adds gradient adjustment based on object edge pixels to moment-preserving auto thresholding, in order to look after both the whole and the details of image in segmentation result. This algorithm needs no iteration or search, and it is fast enough to satisfy the demand for real time. As simulation results show, this algorithm can segment object image effectively.
在对直方图为单峰或单调函数的图像进行分割时,由于存在严重的背景干扰,分割精度受目标大小方差的影响较大,因此本文提出了一种改进的保持矩自动阈值算法。针对原有算法忽略图像细节的不足,该算法利用目标边界与相邻背景灰度差大而目标区域或背景区域像素差小的特点,在保持矩的自动阈值分割中加入基于目标边缘像素的梯度调整,从而在分割结果中兼顾图像的整体和细节。该算法不需要迭代和搜索,速度快,可以满足实时性的要求。仿真结果表明,该算法能有效分割目标图像。
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引用次数: 9
An investigation of digital filter technology on ABS wheel speed signal ABS轮速信号的数字滤波技术研究
Pub Date : 2004-06-21 DOI: 10.1109/ICIA.2004.1373340
Guofu Liu, Qi Zhang, Yueke Wang, Tingting Zhou
The wheel speed signals measured from ABS wheel speed sensors must be processed in advance before they are used to calculate the acceleration and deceleration of the wheel and the reference vehicle velocity. Owning to not considering the time varying noise characteristics of measured signals, the exponential smoothness filter cannot fulfill the requirements of ABS system. According to the data measured by test, the system measurement standard variance is obtained by two order polynomial data fit. On the basis of linear system equation assumed, the structure of Kalman filter is introduced in the process of wheel velocity signal. Test results show that the filter designed in this paper can be applied in the calculation of other ABS control items because of its high accuracy and small lag.
ABS轮速传感器测得的轮速信号在用于计算车轮加减速和参考车速之前,必须事先进行处理。指数平滑滤波器由于没有考虑被测信号的时变噪声特性,不能满足ABS系统的要求。根据试验测得的数据,通过二阶多项式数据拟合得到系统的测量标准方差。在假定线性系统方程的基础上,将卡尔曼滤波结构引入到车轮速度信号的处理中。试验结果表明,本文设计的滤波器精度高、滞后小,可应用于ABS其他控制项的计算。
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引用次数: 5
Study on the intelligent soft sensing method for sewage disposal system 污水处理系统智能软测量方法研究
Pub Date : 2004-06-21 DOI: 10.1109/ICIA.2004.1373346
Zaiwen Liu, Zhengxiang Wang, Fuxia Xue, C. Hou, Guoqiang Qi
Intelligent soft sensing method based on the radial basic function (RBF) neural network for water quality of outlet in SBR sewage disposal process, and the structure and simulation of RBF neural network are proposed in this paper. The problems that are difficult to establish mathematic model of SBR process and to apply real- time control in SBR system can be solved through adopting the soft sensing and fuzzy control method. This creates an essential condition for the real time control in sewage disposal process. The result shows that the simulated RBF neural network may be used to fulfill soft sensing for effluent BOD from SBR, and the model can be used to predict the practical water quality sample output The simulation result indicates that it is feasible for using RBF neural network to establish soft-sensing model and the model is correct and rational.
提出了基于径向基函数(RBF)神经网络的SBR污水处理出水水质智能软测量方法,以及RBF神经网络的结构和仿真。采用软测量和模糊控制方法可以解决SBR过程数学模型建立困难和SBR系统实时控制困难的问题。这为污水处理过程的实时控制创造了必要条件。结果表明,模拟的RBF神经网络可用于SBR出水BOD的软测量,该模型可用于预测实际水质样品输出,仿真结果表明,利用RBF神经网络建立软测量模型是可行的,模型是正确合理的。
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引用次数: 0
Study on transmission model of avian influenza 禽流感传播模式的研究
Pub Date : 2004-06-21 DOI: 10.1109/ICIA.2004.1373320
Li Jinping, Ren Qianlu, Chen Xi, Yin Jian-qin
Avian influenza is a recent contagious disease of animals which has been spreading in the world especially in Asia. In order to study the transmission law, we made an investigation of outbreaks of the epidemics in the Chinese Mainland. We found: most of outbreaks took place along the railways and main rivers; transmission of near distance (less than 500km) dominates the whole epidemics; the outbreak probability is dependent on the nearest distance from the epidemic regions, et al. Then we put forward a statistical transmission model of avian influenza, in which such factors that affect the epidemic transmission are considered as control measures, temperature, vaccination, outbreak frequency of different distances, et al. Simulation shows the model is able to describe the dissemination of avian influenza satisfactorily, and can predict the future epidemic situation. We draw useful conclusions about the epidemics in Chinese Mainland: Chinese government took the most stringent measures to prevent the transmission of avian influenza.
禽流感是一种近年来在世界范围内特别是在亚洲蔓延的动物传染病。为了研究其传播规律,我们对中国大陆的疫情进行了调查。我们发现:大多数疫情发生在铁路和主要河流沿线;近距离传播(小于500公里)在整个流行病中占主导地位;爆发概率取决于离流行区域最近的距离,等等。在此基础上,提出了禽流感统计传播模型,该模型考虑了控制措施、温度、疫苗接种、不同距离暴发频率等因素对疫情传播的影响。仿真结果表明,该模型能较好地描述禽流感的传播情况,并能预测未来的疫情。我们对中国大陆的疫情得出了有益的结论:中国政府采取了最严格的措施来防止禽流感的传播。
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引用次数: 7
Study on an approach of feature selection for similar handwritten Chinese characters recognition 相似手写体汉字识别的特征选择方法研究
Pub Date : 2004-06-21 DOI: 10.1109/ICIA.2004.1373394
Jun Feng, Chunhui Piao, Yanfang Wang
A feature selection approach for similar handwritten Chinese characters recognition is presented in this paper, which is based on genetic algorithms and support vector machines classifier. The technique of combining wavelet transform with elastic meshing is employed for a given handwritten character to extract its feature. The optimal features are selected by genetic algorithms and the problem of determining partial space of similar characters automatically is solved. The experiment results confirm the conclusion that the generalization performance of cross-validation fitness measure is better than that of in-sample validation one.
提出了一种基于遗传算法和支持向量机分类器的手写体相似汉字特征选择方法。采用小波变换与弹性网格相结合的方法对给定的手写体字符进行特征提取。采用遗传算法选择最优特征,解决了自动确定相似字符部分空间的问题。实验结果证实了交叉验证适应度测度的泛化性能优于样本内验证测度的结论。
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引用次数: 3
Research of an immune clone selection algorithm and its application in heating furnace state recognition 免疫克隆选择算法及其在加热炉状态识别中的应用研究
Pub Date : 2004-06-21 DOI: 10.1109/ICIA.2004.1373395
Yaoguang Wei, Deling Zheng, Ying Wang
The immune clone selection algorithm presented in this paper is inspired by the mechanism exhibited in biological immune response. It is made up of four procedures: antigen-antibody matching, clone proliferation, mutation and memory cell selection. It is a self-adaptive learning system, antibody diversity coming from clone and mutation process, and which make the system has self-adaptive capability. It accumulates knowledge from antibody memory cell selection process. It has few parameter and easy to stable. We discuss the application of the algorithm on state recognition of the heating furnace, the results show that the model has good ability on pattern recognition and data compress.
本文提出的免疫克隆选择算法是受生物免疫应答机制的启发而提出的。它由抗原抗体匹配、克隆增殖、突变和记忆细胞选择四个步骤组成。它是一个自适应学习系统,抗体多样性来自克隆和突变过程,使系统具有自适应能力。它从抗体记忆细胞选择过程中积累知识。该方法参数少,易于稳定。讨论了该算法在加热炉状态识别中的应用,结果表明该模型具有良好的模式识别能力和数据压缩能力。
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引用次数: 2
A study on dependable asynchronous communication of mobile agent 移动代理的可靠异步通信研究
Pub Date : 2004-06-21 DOI: 10.1109/ICIA.2004.1373415
Xiao-xiang Yang, Mingqing Li
The mobile agent technology is gaining importance in the distributed management of networks and services for heterogeneous environments. But the mobile agent loses messages frequently. So people generally restrict the use of mobile agent to some limited functions and only local agent communication and synchronous communication are supported. These restrictions limit the agility of the mobile agent application. To solve these problems, in this paper, we propose a prototype system that provides dependable asynchronous communication. The main focus is on the aspect of agent communication.
移动代理技术在异构环境下网络和服务的分布式管理中越来越重要。但是移动代理经常丢失消息。因此人们普遍将移动代理的使用限制在一些有限的功能上,只支持本地代理通信和同步通信。这些限制限制了移动代理应用程序的敏捷性。为了解决这些问题,本文提出了一个提供可靠异步通信的原型系统。主要关注的是代理通信方面。
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International Conference on Information Acquisition, 2004. Proceedings.
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