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2010 Third International Conference on Intelligent Networks and Intelligent Systems最新文献

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Flame Front Detection by Line Enhance Active Contour from OH-PLIF Images 基于线增强主动轮廓的OH-PLIF图像火焰前检测
2010 Third International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2010-11-01 DOI: 10.1109/ICINIS.2010.11
Huijie Fan, Wei Dong, Yandong Tang
{"title":"Flame Front Detection by Line Enhance Active Contour from OH-PLIF Images","authors":"Huijie Fan, Wei Dong, Yandong Tang","doi":"10.1109/ICINIS.2010.11","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.11","url":null,"abstract":"this paper presents a new Line Enhance Active Contour model (LEAC model) to detect the flame front boundaries from high speed Planar Laser Induced Fluorescence (PLIF) images. The model first enhances the crack region and the gradient of flame front by the Line Enhance Filtering algorithm, and then extracts flame front boundaries and crake edges from the enhanced PLIF images using the CV model. We compared the LEAC model with the classical CV model on different PLIF images. Experimental results show that our model can detect the flame front accurately, and it has good performance on detecting the exact edges of long and narrow crack regions, where the classical CVmodel can not detect completely. Moreover, it is insensitive to image noise and curve initialization.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114875702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
A Frequency Prediction of RS Code FH Based on Chaotic Theory 基于混沌理论的RS码跳频频率预测
2010 Third International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2010-11-01 DOI: 10.1109/ICINIS.2010.76
Zhen-yu Teng, Bo Qian, Yongxin Feng
{"title":"A Frequency Prediction of RS Code FH Based on Chaotic Theory","authors":"Zhen-yu Teng, Bo Qian, Yongxin Feng","doi":"10.1109/ICINIS.2010.76","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.76","url":null,"abstract":"RS is a popular FH code whose chaotic features of frequency sequence is analyzed in this article and such a conclusion is achieved that RS code is of chaotic features in terms of frequency sequence. According to this conclusion, a method of FH prediction about the degree of incidence is suggested based on the phase space reconstruction of chaotic system. It is more accurate than the chaos prediction method of the nearest point in phase space based on the Euclid distance.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"368 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115894261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Reconstruction of Broken Blade Geometry Model Based on Reverse Engineering 基于逆向工程的破碎叶片几何模型重建
2010 Third International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2010-11-01 DOI: 10.1109/ICINIS.2010.16
Jinhua Li, Fangping Yao, Yongxian Liu, Yongguo Wu
{"title":"Reconstruction of Broken Blade Geometry Model Based on Reverse Engineering","authors":"Jinhua Li, Fangping Yao, Yongxian Liu, Yongguo Wu","doi":"10.1109/ICINIS.2010.16","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.16","url":null,"abstract":"To improve the efficiency of blade repair, a reverse engineering-based geometry reconstruction method is developed for the normal model creation of a broken blade. The key techniques involved are including the digital measurement of broken blade, point cloud pre-processing, three dimensional models and so on. After the point cloud pre-processing, the segmentation extracts the damaged region from point cloud by a 4D Shepard surface based curvature estimation method. Bezier curve is used to construct the extracted boundary points. Bezier surface is reconstructed by the extracted points and is used to broken space subdivision. At last, a geometry model is built for the preparement of the laser forming repair.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128647606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 13
Research on a New Architecture of Satellite Network Management 一种新的卫星网络管理体系结构研究
2010 Third International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2010-11-01 DOI: 10.1109/ICINIS.2010.136
Xiaokang Tan, Lidong Fu
{"title":"Research on a New Architecture of Satellite Network Management","authors":"Xiaokang Tan, Lidong Fu","doi":"10.1109/ICINIS.2010.136","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.136","url":null,"abstract":"the characteristics of the nodes’ high-dynamic and long transmission delay between the satellites and terrestrial station lead to the difficulty in managing the satellite network. So this paper proposes a new dynamic-layered management architecture based on the researches of the traditional policy-based network management architecture. In the new architecture, domain policy decision point(Domain PDP) and local policy decision point(local PDP) are added between policy enforcement point(PEP) and traditional policy decision point(PDP). Domain PDP and local PDP are dynamically deployed in the sub-management stations and the satellite agents with management functions. Simulation results show that the new architecture reduces the amounts of the communication between terrestrial station and satellite agent which makes the network management efficiently.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130882499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Research of Moving Targets Tracking Algorithm Based on Kalman Filtering 基于卡尔曼滤波的运动目标跟踪算法研究
2010 Third International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2010-11-01 DOI: 10.1109/ICINIS.2010.104
H. Dong, Shengfu Chen, Jiayu Zhu
{"title":"Research of Moving Targets Tracking Algorithm Based on Kalman Filtering","authors":"H. Dong, Shengfu Chen, Jiayu Zhu","doi":"10.1109/ICINIS.2010.104","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.104","url":null,"abstract":"The purpose of moving targets tracking is to determine the trajectories of moving targets, the key of which is to establish the corresponding relationships between the detected prospect targets and the tracked moving targets. The established corresponding relations are equivalent to the matching problem of target features in consecutive image frames. In the paper, Kalman filter is used as the motion model of the targets. The recursive filtering method is adopted to calculate and predict the location of moving targets. Through the experiment, the results show that the algorithm not only track well the moving targets, but also can effectively overcome the obstacles in the process of tracking and so on.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127683308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Research on the Technology of Fire Detection Based on Image Processing in Unmanned Substation 基于图像处理的无人变电站火灾探测技术研究
2010 Third International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2010-11-01 DOI: 10.1109/ICINIS.2010.131
Jun-zhe Zhou, G. Song
{"title":"Research on the Technology of Fire Detection Based on Image Processing in Unmanned Substation","authors":"Jun-zhe Zhou, G. Song","doi":"10.1109/ICINIS.2010.131","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.131","url":null,"abstract":"Nowadays, unmanned substation is a new trend for electrical power system with the fast development of new science and technology. Fire detection technology is the major part of unmanned substation. How to judge the fire flame is the key of image-type fire detecting technology. In this paper, a unmanned substation in the environment of the specific process of fire detection and testing process for each step in more detail, through the differential to determine, image extraction, flame recognition three steps on the flame testing done considering. The method can greatly improve veracity of fire prediction, comparing with the traditional detection method.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121795654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Passive Control for Uncertain Discrete Time-Delay Singular Systems 不确定离散时滞广义系统的无源控制
2010 Third International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2010-11-01 DOI: 10.1109/ICINIS.2010.135
Ling Ai, Xin-zhuang Dong, Hui Yang
{"title":"Passive Control for Uncertain Discrete Time-Delay Singular Systems","authors":"Ling Ai, Xin-zhuang Dong, Hui Yang","doi":"10.1109/ICINIS.2010.135","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.135","url":null,"abstract":"The problem of robust passive control of a class of uncertain discrete time-delay singular system is discussed. Using the method of linear matrix inequality (LMI), a sufficient condition is firstly presented for the unforced system to be robust stable and strictly passive, then the existence condition of a state feedback robust passive controller is given and the explicit expression of the controller is derived in terms of the solution of LIMs, Finally, a numerical example is given to illustrate the feasibility of the conclusion.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121193116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Support Vector Machine's Application in Significant Error Detection of Nonlinear Systems 支持向量机在非线性系统显著误差检测中的应用
2010 Third International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2010-11-01 DOI: 10.1109/ICINIS.2010.186
L. Nian
{"title":"Support Vector Machine's Application in Significant Error Detection of Nonlinear Systems","authors":"L. Nian","doi":"10.1109/ICINIS.2010.186","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.186","url":null,"abstract":"Presented a kind of principle and method based on regression support vector machine dynamic data significant error detection. The method takes full advantage of the nonlinear approximation capability supporting vector machine. The establishment of nonlinear system dynamic process model convex to a quadratic twice optimization problem, which can be guaranteed the extremal solution is global optimal solution and has good generalization ability. In this paper looked glutamic acid fermentation process as the research object, and established the chemical and biological variables prediction model based on SVM regression. At the same time achieved process variables online predicted. Through the method of strike the deviation of predicted value and measured to determine the existence of a significant error, which provide a new method for the significant error detection, eliminate and revise of dynamic process.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116387533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Process Monitoring Approach Based on Lifting Wavelet and Multi-way Principal Component Analysis 基于提升小波和多向主成分分析的过程监控方法
2010 Third International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2010-11-01 DOI: 10.1109/ICINIS.2010.170
Qing Yang, Xu Zhang, Feng Tian
{"title":"Process Monitoring Approach Based on Lifting Wavelet and Multi-way Principal Component Analysis","authors":"Qing Yang, Xu Zhang, Feng Tian","doi":"10.1109/ICINIS.2010.170","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.170","url":null,"abstract":"A novel technique of batch process monitoring based on lifting wavelet and multi-way principal component analysis (LWMPCA) is developed in this paper. The proposed technique consists of a preprocessing unit based on lifting wavelets transform in combination with MPCA. The superiority of the proposed method is illustrated by applying it to the simulation benchmark of fed-batch penicillin fermentation process with more reliable monitoring charts. The results of simulation clearly demonstrate the effectiveness and feasibility of the proposed method, which detects various faults more promptly with desirable reliability.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128769949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Study of Fundamental Matrix High-Precision Estimation Based on Particle Swarm Optimization 基于粒子群优化的基本矩阵高精度估计研究
2010 Third International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2010-11-01 DOI: 10.1109/ICINIS.2010.138
Yan-ju Liu, Ze-dong Li, Hongwei Gao
{"title":"Study of Fundamental Matrix High-Precision Estimation Based on Particle Swarm Optimization","authors":"Yan-ju Liu, Ze-dong Li, Hongwei Gao","doi":"10.1109/ICINIS.2010.138","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.138","url":null,"abstract":"The paper researches the issue that fundamental matrix is recovered in images. Firstly, the corners are detected by Harris operator, and matches cross-correlation corners. According to the definition of polar equation, the polar of feature point must pass corresponding point in matching images. Then, to extract correctly matching points and eliminate error by the criterion which is the distance between corner and corresponding polar. At the end, More precise fundamental matrix is got by Particle Swarm Optimization according to the target function that is residual error of polar equation. Experimental result proves that interrelated arithmetic is effective.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129148283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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