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

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A novel method to optimum test-nodes selection in analog-circuit fault diagnosis 模拟电路故障诊断中测试节点优化选择的新方法
Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010291
Xin-Chun Gao
{"title":"A novel method to optimum test-nodes selection in analog-circuit fault diagnosis","authors":"Xin-Chun Gao","doi":"10.1109/ICICIP.2014.7010291","DOIUrl":"https://doi.org/10.1109/ICICIP.2014.7010291","url":null,"abstract":"This paper proposes a novel test-nodes selection procedure for parametric fault diagnosis in analog circuit. In this procedure, one considers the impedance value as the most important circuit parameter in fault diagnosis, and establish a closed-form function between circuit impedance and voltage phasor. Such this closed-form function is presented through a few critical faulty voltage phasor response measurements, with which the ambiguous component group can be located. Then the problem of test-nodes selection means to increase testable components number and decrease ambiguous fault-pairs. The automation of the test-nodes selection is tested in an analog circuit benchmark with a bipartite modeling based on fault pair isolation table. The result shows that the proposed test-nodes selection (TNS) procedure is indeed to minimize the size of the test-nodes set, being in the comparison to the exhaustive method.","PeriodicalId":408041,"journal":{"name":"Fifth International Conference on Intelligent Control and Information Processing","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128724198","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
Stochastic permanence and extinction for one-dimensional stochastic Gilpin-Ayala systems with Markovian switching 具有马尔可夫切换的一维随机Gilpin-Ayala系统的随机持久性和消光性
Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010307
Lei Liu, Xiaoyan Yu
{"title":"Stochastic permanence and extinction for one-dimensional stochastic Gilpin-Ayala systems with Markovian switching","authors":"Lei Liu, Xiaoyan Yu","doi":"10.1109/ICICIP.2014.7010307","DOIUrl":"https://doi.org/10.1109/ICICIP.2014.7010307","url":null,"abstract":"In this paper, we consider the permanence, extinction for one-dimensional stochastic Gilpin-Ayala system with Markovian switching. By using Lyapunov method and some novel techniques, some sufficient conditions are obtained which ensure the permanence, extinction for the system. In the case of η = 1, sufficient and necessary conditions for permanence and extinction are obtained. Two numerical examples are provided to illustrate the effectiveness and the benefits of the proposed result.","PeriodicalId":408041,"journal":{"name":"Fifth International Conference on Intelligent Control and Information Processing","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129933659","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
Improving MFCC based ASI system performance using novel multifractal cascade features 利用新颖的多重分形级联特征改善基于MFCC的ASI系统性能
Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010326
L. Ling, D. C. González
{"title":"Improving MFCC based ASI system performance using novel multifractal cascade features","authors":"L. Ling, D. C. González","doi":"10.1109/ICICIP.2014.7010326","DOIUrl":"https://doi.org/10.1109/ICICIP.2014.7010326","url":null,"abstract":"In this work we use a set of multifractal features, namely Variable Variance Gaussian Parameter (WGP), extracted from a cascade model of speech signals to improve the performances of a traditional speaker recognition approach. We describe in detail the stochastic cascade model used to represents these WGP features as well as the proper feature extraction procedure. The evaluation of the discriminative capability of the WGP features is carried out in two steps. First we implement an automatic text-independent speaker identification system based only on the WGP features and Gaussian mixture model (GMM) classifiers. Then, we evaluate classification strategies that jointly use both the WGP and traditional mel-frequency cepstrum coefficients (MFCCs) features under two multimodal fusion schemes, namely score-level and feature-level fusion. Experimental tests reveal that the WGP features are discriminant and capable of improving the performance of MFCC based ASI systems.","PeriodicalId":408041,"journal":{"name":"Fifth International Conference on Intelligent Control and Information Processing","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130646167","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
Containment control of networked autonomous underwater vehicles guided by multiple leaders using predictor-based neural DSC approach 基于预测器的神经DSC方法在多先导引导下的网络化自主水下航行器围护控制
Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010278
Zhouhua Peng, Dan Wang, Jun Wang
{"title":"Containment control of networked autonomous underwater vehicles guided by multiple leaders using predictor-based neural DSC approach","authors":"Zhouhua Peng, Dan Wang, Jun Wang","doi":"10.1109/ICICIP.2014.7010278","DOIUrl":"https://doi.org/10.1109/ICICIP.2014.7010278","url":null,"abstract":"This paper considers the containment control of multiple autonomous underwater vehicles (AUVs) in the presence of model uncertainty and time-varying ocean disturbances. A new predictor-based neural dynamic surface control design approach is proposed to develop adaptive containment controllers, under which the trajectories of AUVs converge to the dynamic convex hull spanned by the dynamic leaders. The prediction errors are used to update the neural adaptive laws, which enables fast identifying the vehicle dynamics without excessive knowledge of their dynamical models. The stability properties of the closed-loop network are established via Lyapunov analysis, and the containment errors converge to an adjustable neighborhood of the origin. Comparative studies are given to show the effectiveness of the proposed method.","PeriodicalId":408041,"journal":{"name":"Fifth International Conference on Intelligent Control and Information Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130485251","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
Implementation and evaluation of spatio-spectral reconstruction for spatial coding compressive spectral imaging 空间编码压缩光谱成像中空间光谱重构的实现与评价
Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010263
Yuheng Chen, Jiankang Zhou, Xin-hua Chen, Yiqun Ji, Wei-min Shen
{"title":"Implementation and evaluation of spatio-spectral reconstruction for spatial coding compressive spectral imaging","authors":"Yuheng Chen, Jiankang Zhou, Xin-hua Chen, Yiqun Ji, Wei-min Shen","doi":"10.1109/ICICIP.2014.7010263","DOIUrl":"https://doi.org/10.1109/ICICIP.2014.7010263","url":null,"abstract":"Compressive spectral imaging combines traditional spectral imaging technique with compressive sensing and its preliminary application ability has been early explored by the usage on the occasions such as machine-vision and biomedical imaging. In this paper, spatio-spectral reconstruction based on sparse recovery method is presented and its performance is estimated. Simulating imaging experiment is carried out by using AVIRIS visible band data and specific module based on two-step iterative shrinkage/thresholding algorithm is built so as to execute reconstruction for the data cube. Statistical index is adopted so as to judge data fidelity quantitatively so that the effect of the regularizer index optimization and frame shooting number increasing on the improvement of reconstructed data fidelity can be distinctly revealed. The spatio-spectral featuring of different ground species are also evaluated by visual judgment on restored images and spectral curves.","PeriodicalId":408041,"journal":{"name":"Fifth International Conference on Intelligent Control and Information Processing","volume":"218 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122927008","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
Stability analysis of recurrent neural networks with time-varying delay and disturbances via quadratic convex technique 基于二次凸技术的时变时滞和扰动递归神经网络稳定性分析
Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010327
Rungroj Sirisongkol, Xiaodong Liu
{"title":"Stability analysis of recurrent neural networks with time-varying delay and disturbances via quadratic convex technique","authors":"Rungroj Sirisongkol, Xiaodong Liu","doi":"10.1109/ICICIP.2014.7010327","DOIUrl":"https://doi.org/10.1109/ICICIP.2014.7010327","url":null,"abstract":"In recent years, the stability of recurrent neural networks (RNNs) has been investigated extensively. It is well known that time delays and external disturbances may derail the stability of RNNs. This paper analyzes the stability of RNNs subject to time-varying delay and disturbances included within time-varying delay. Given a stable neural network, the problem to be explored is how the RNNs remain stable in the presence of delay and external disturbances included within delay. A delay-dependent stability criteria in terms of linear matrix inequalities (LMIs) for RNNs with time-varying delay are derived from the proposed augmented simple Lyapunov-Krasovski function, by applying a second-order convex combination with the property of quadratic convex functions. Simulation results of illustrative numerical examples are also delineated to substantiate the theoretical results.","PeriodicalId":408041,"journal":{"name":"Fifth International Conference on Intelligent Control and Information Processing","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132125730","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
An improved case-based reasoning method based on fuzzy clustering and mutual information 一种基于模糊聚类和互信息的改进案例推理方法
Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010266
Min Han, Zhanji Cao, Yang Li
{"title":"An improved case-based reasoning method based on fuzzy clustering and mutual information","authors":"Min Han, Zhanji Cao, Yang Li","doi":"10.1109/ICICIP.2014.7010266","DOIUrl":"https://doi.org/10.1109/ICICIP.2014.7010266","url":null,"abstract":"Case retrieval is the most critical link that affects the results of case based reasoning (CBR). Weights determination and attributes reduction are two key factors for case retrieval. They are studied separately and the relationship between them is ignored, which leads to the mismatch and finite precision issues. In order to solve this problem, it introduces an improved CBR method based on fuzzy clustering, mutual information and iterative learning strategy. Subtractive clustering and fuzzy c-means clustering are combined to divide case base into subspaces where case retrieval is conducted. Mutual information is used to evaluate the contribution of condition attributes to solutions, and iterative learning strategy is designed to update weights and realize attributes reduction at the same time. This hybrid method aims to improve the accuracy and efficiency of CBR. Simulation experiments based on UCI datasets and data from actual production of basic oxygen furnace are adapted to verify effectiveness of the proposed method.","PeriodicalId":408041,"journal":{"name":"Fifth International Conference on Intelligent Control and Information Processing","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126100387","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
Locally convergence of rank filters and perturbation theorem 秩滤波器的局部收敛性与摄动定理
Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010271
Wanzhou Ye, J. Ma
{"title":"Locally convergence of rank filters and perturbation theorem","authors":"Wanzhou Ye, J. Ma","doi":"10.1109/ICICIP.2014.7010271","DOIUrl":"https://doi.org/10.1109/ICICIP.2014.7010271","url":null,"abstract":"Rank filters are very useful nonlinear filters. They are usually easy to implement and perform well in many situations in which linear filters fail. Compared to the theory of linear filters, their theory is very poor. In this paper, we study a theoretical problem on rank filters-the locally convergence of rank filters, and give a sufficient condition on locally convergence of rank filters. Moreover, we study the convergence of perturbed sequences on rank filters.","PeriodicalId":408041,"journal":{"name":"Fifth International Conference on Intelligent Control and Information Processing","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125749439","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
Netflow based P2P detection in UDP traffic 基于Netflow的UDP流量P2P检测
Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010349
Qianli Zhang, Yunlong Ma, Pei Zhang, Jilong Wang, Xing Li
{"title":"Netflow based P2P detection in UDP traffic","authors":"Qianli Zhang, Yunlong Ma, Pei Zhang, Jilong Wang, Xing Li","doi":"10.1109/ICICIP.2014.7010349","DOIUrl":"https://doi.org/10.1109/ICICIP.2014.7010349","url":null,"abstract":"Though it is commonly assumed that Internet traffic is dominated by TCP, there has been an increasing demand for UDP based P2P applications. UDP is widely used in new P2P networks because it can provides better support for NAT traversal. Since many of these applications use private protocols, UDP traffic is often hard to analyze, especially if the available data is only netflow records. In this paper, a component based method is proposed to analyze UDP traffic. Since flows in each component share the same application, P2P traffic can be identified without packet level information.","PeriodicalId":408041,"journal":{"name":"Fifth International Conference on Intelligent Control and Information Processing","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128489838","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
A machine learning approach to urban traffic state detection 城市交通状态检测的机器学习方法
Fifth International Conference on Intelligent Control and Information Processing Pub Date : 2014-08-01 DOI: 10.1109/ICICIP.2014.7010332
Li-Min Meng, Lu-Sha Han, Hong Peng, Biaobiao Zhang, Ke-Lin Du
{"title":"A machine learning approach to urban traffic state detection","authors":"Li-Min Meng, Lu-Sha Han, Hong Peng, Biaobiao Zhang, Ke-Lin Du","doi":"10.1109/ICICIP.2014.7010332","DOIUrl":"https://doi.org/10.1109/ICICIP.2014.7010332","url":null,"abstract":"We propose an urban traffic state detection method based on support vector machine (SVM) and multilayer perception (MLP). Fusing the SVM and MLP classifiers into a cascade two-tier classifier improves the accuracy of the traffic state classification. A cascade two-tier classifier MLP-SVM, a single SVM classifier and a single MLP classifier are then fused to further improve the final detection accuracy. We also implement a Dempster-Shafer (D-S) theory of evidence based classifier. Finally, fusion strategies at the training and implementation phases are proposed to improve the detection accuracy.","PeriodicalId":408041,"journal":{"name":"Fifth International Conference on Intelligent Control and Information Processing","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120983856","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
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