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2010 International Conference on Intelligent Control and Information Processing最新文献

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Parameter influence on speech recognition rate of modified RBF neural network 参数对改进RBF神经网络语音识别率的影响
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5565218
Xia Wang, Jian Tian, Mengjun Wang
{"title":"Parameter influence on speech recognition rate of modified RBF neural network","authors":"Xia Wang, Jian Tian, Mengjun Wang","doi":"10.1109/ICICIP.2010.5565218","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5565218","url":null,"abstract":"In RBF neural network designing, hidden neuron number and parameter influence the performance of network. The paper discusses influences of pruning hidden neurons using different criteria and parameter on speech recognition rate of modified RBF neural network. First we introduce three hidden neuron pruning criteria, then propose a modified RBF neural network, at last recognition results before and after pruning hidden neuron, relationship among constant C of BIC, hidden neuron number and recognition rates are given. Experiments show that proper criteria and parameter will conduce to better results.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132540903","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
Analysis of single phase active power filter 单相有源电力滤波器分析
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5564179
G. Zhang, O. O. Stephen, Hui Sun
{"title":"Analysis of single phase active power filter","authors":"G. Zhang, O. O. Stephen, Hui Sun","doi":"10.1109/ICICIP.2010.5564179","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5564179","url":null,"abstract":"This paper is focus on the APF, designed mainly for nonlinear loads which is able to compensate undesired harmonic currents as well as reactive power. Its control algorithm is based on Instantaneous reactive power theory and its control method is hysteresis. The APF configuration, the current reference generator and the APF control algorithm are discussed in detail in this paper.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132866562","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
Blind source separation by nonnegative matrix factorization with minimum-volume constraint 基于最小体积约束的非负矩阵分解盲源分离
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5565228
Zuyuan Yang, Guoxu Zhou, Shuxue Ding, S. Xie
{"title":"Blind source separation by nonnegative matrix factorization with minimum-volume constraint","authors":"Zuyuan Yang, Guoxu Zhou, Shuxue Ding, S. Xie","doi":"10.1109/ICICIP.2010.5565228","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5565228","url":null,"abstract":"Recently, nonnegative matrix factorization (NMF) attracts more and more attentions for the promising of wide applications. A problem that still remains is that, however, the factors resulted from it may not necessarily be realistically interpretable. Some constraints are usually added to the standard NMF to generate such interpretive results. In this paper, a minimum-volume constrained NMF is proposed and an efficient multiplicative update algorithm is developed based on the natural gradient optimization. The proposed method can be applied to the blind source separation (BSS) problem, a hot topic with many potential applications, especially if the sources are mutually dependent. Simulation results of BSS for images show the superiority of the proposed method.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134002781","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: 5
Design of open laboratory IC card management system 开放式实验室IC卡管理系统的设计
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5564278
Derui Zhi, B. Zhao, Rui Wang
{"title":"Design of open laboratory IC card management system","authors":"Derui Zhi, B. Zhao, Rui Wang","doi":"10.1109/ICICIP.2010.5564278","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5564278","url":null,"abstract":"This system designed IC RF card lab management system on the basis of microprocessor AT89C52 which was produced by Atmel company. This text introduced the influence of hardware environment to IC RF reading and writing system, analysed and designed the whole IC RF card read-write equipment from the angle of security, confidentiality and stability of the system.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114230101","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
Research on signal processing of inductosyn based on FPGA 基于FPGA的感应同步器信号处理研究
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5565232
Xianquan Wang, Min Wu, Jiqin Feng, Cun Dong, Lina Lou
{"title":"Research on signal processing of inductosyn based on FPGA","authors":"Xianquan Wang, Min Wu, Jiqin Feng, Cun Dong, Lina Lou","doi":"10.1109/ICICIP.2010.5565232","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5565232","url":null,"abstract":"In order to improve reliability of Inductosyn signal processing system and save FPGA resources, the article uses a single-chip SOC system design, making the sine/cosine signal power, pulse filling phase detection and data processing integrated into an FPGA, and optimizing the signal circuit of sine / cosine through the technology of point symmetry and axial symmetry. Research on the circuit of pulsed filling phase detection, it be used to detect two singles of the phase difference and the period . Design NIOS and its interface circuits, it can detect the angle of Inductosyn, and amend the angle error with software. Experiments indicated that the designing circuit and signal processing method are correct, only need the table of 0° ~90° degrees to respectively generate the 0° ~360° sine and cosine signals, save resources of FPGA; At the same time, focus the signal generating, pulse filling phase detection, NIOS microprocessor and display interface on the FPGA, improved the reliability of system.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121589247","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
Function approximation based on self-adaptive RBF neural network with combined clustering algorithm 基于自适应RBF神经网络的函数逼近与组合聚类算法
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5565283
Suying Zhou, Hui Lin
{"title":"Function approximation based on self-adaptive RBF neural network with combined clustering algorithm","authors":"Suying Zhou, Hui Lin","doi":"10.1109/ICICIP.2010.5565283","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5565283","url":null,"abstract":"Due to the difficulty of determining node number of hidden layers and center, slow learning speed and weaken generalization ability of RBF neural network when input data is generous and complex. A new method based on combined clustering is presented here to determine node number of hidden layer and centers of RBF neural network self-adaptively. In this paper, subtractive clustering is used to cluster the data firstly, node number and initial value of data center of RBF network are achieved, then GK fuzzy clustering algorithm is adopted to evaluate cluster validity and obtain optimum data center by estimating the shape and direction of clustering. The normalized LMS algorithm is used to tune weights. Thus, a self-adaptive RBF neural network with combined clustering algorithm is obtained. The simulation results of function approximation show that the RBF neural network designed has better approximation performance.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115569750","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
A local linear discriminant analysis method for handwritten Chinese character recognition 手写体汉字识别的局部线性判别分析方法
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5565237
Xue Gao, Jinzhi Guo, Lianwen Jin
{"title":"A local linear discriminant analysis method for handwritten Chinese character recognition","authors":"Xue Gao, Jinzhi Guo, Lianwen Jin","doi":"10.1109/ICICIP.2010.5565237","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5565237","url":null,"abstract":"LDA is one of popular dimension reduction techniques in existing handwritten Chinese characters (HCC) recognition systems. To deal with the class separation problem and the multimodal samples in tradition LDA method, we proposed a new local linear discriminant analysis (LLDA) method for handwritten Chinese character recognition in this paper. The algorithm operates as follows: (1) Using the clustering algorithm to find clusters for each class. (2) Finding the nearest neighbor clusters for each cluster and using cluster means in the computation of the between-class scatter in LDA while keeping the within-class scatter unchanged. (3) Finally vector normalization is applied to further improve the class separation problem. A series of experiments on HCL2000 have indicated that our method can effectively improve the recognition, the error rate reduction reaches 14.8% comparing to the traditional LDA method, showing effectiveness of the proposed approach.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116107204","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
Edge information based crater detection and matching for lunar exploration 基于边缘信息的月球陨石坑检测与匹配
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5565284
Jiang-ping He, Hutao Cui, Junhua Feng
{"title":"Edge information based crater detection and matching for lunar exploration","authors":"Jiang-ping He, Hutao Cui, Junhua Feng","doi":"10.1109/ICICIP.2010.5565284","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5565284","url":null,"abstract":"The precision of lunar soft landing could be boosted largely when craters are used as navigational landmarks since their distinct features. Aiming at the navigational application, this paper presents an edge information based method of crater detection and matching. In detection algorithm, considering the particularity of edges, multi-scale adaptive Gaussian filtering and adaptive Canny algorithm using histogram of image are introduced into edge detection, then craters are extracted by steps of edge selection, edge pairing and ellipse fitting. Crater matching consists of the matching algorithm based on Conic-pair Affine Invariants, and the correction algorithm for false-match and mismatch situations using affine properties of close curves' area. Experiments of real lunar images show that the detection algorithm is provided with adaptive ability to different illuminations and terrains, and the matching rate of crater matching algorithm is better than 85% with less than 5% false-match.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"62 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116362276","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: 6
Improved multi-scale principal components analysis with applications to process monitoring 改进多尺度主成分分析及其在过程监控中的应用
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5565258
L. Xia, H. Pan
{"title":"Improved multi-scale principal components analysis with applications to process monitoring","authors":"L. Xia, H. Pan","doi":"10.1109/ICICIP.2010.5565258","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5565258","url":null,"abstract":"Multi-scale monitoring approaches, which combine principal component analysis (PCA) and wavelet analysis, have received considerable attention. These approaches are potentially very efficient for detecting and analyzing diverse ranges of faults and disturbances in chemical processes. An improved multi-scale principal component analysis (MSPCA) is proposed for polymerization process monitoring. Improved MSPCA simultaneously extracts both, cross correlation across the variable and auto-correlation within a variable. Using wavelets, the individual variable are decomposed into approximations and details at different scales. Contributions from each scale are collected in separate matrices, and a PCA model is then constructed to extract correlation at each scale. The proposed improved multi-scale method is successfully applied into fault detection of polymerization process.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116027772","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
Multipopulation genetic algorithm with adaptive search area 具有自适应搜索区域的多种群遗传算法
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5564307
Ke-Yong Shao, Fei Li, Bei-Yan Jiang, Hongyan Zhang, Miaomiao Tian, Wen-Cheng Li
{"title":"Multipopulation genetic algorithm with adaptive search area","authors":"Ke-Yong Shao, Fei Li, Bei-Yan Jiang, Hongyan Zhang, Miaomiao Tian, Wen-Cheng Li","doi":"10.1109/ICICIP.2010.5564307","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5564307","url":null,"abstract":"To solve the problem of slow convergence speed of the standard genetic algorithm (SGA), the strategy of adaptively changing the search area is used to reduce the seach area progressively in this paper. The tactics of concerted evolution among multiple populations is proposed aimed at the deficiency of easily plunging into a local optimal solution of SGA. Distant hybridization strategy and a new method of adaptively changing crossover rate are presented by combining the scheme of multi-population and the thought of elitist population. Considered the different range of decision variables, the new definitions of individual distance and population distance are put forward, which avoids the false distance caused by traditional hamming distance. These methods can not only ensure the independence of subpopulations, but also strengthen their cooperation, improve the use ratio of excellent genes, and enhance the global search ability of GA. Finally, the effectiveness of the proposed algorithm was verified by three typical testing functions.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116295714","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
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