2011 International Conference on Communications, Computing and Control Applications (CCCA)最新文献

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Segmentation and enhancement of fingerprint images using K-means, fuzzy C-mean algorithm and statistical features 基于k -均值、模糊c -均值算法和统计特征的指纹图像分割与增强
A. Balti, M. Sayadi, F. Fnaiech
{"title":"Segmentation and enhancement of fingerprint images using K-means, fuzzy C-mean algorithm and statistical features","authors":"A. Balti, M. Sayadi, F. Fnaiech","doi":"10.1109/CCCA.2011.6031463","DOIUrl":"https://doi.org/10.1109/CCCA.2011.6031463","url":null,"abstract":"Fingerprint segmentation is a crucial and important step of image processing in automatic fingerprint's identification. The aim of the segmentation of fingerprint is to extract the region of interest; foreground; and to exclude the background regions, in order to reduce the time of subsequent processing and to avoid detecting false features. This paper presents a new approach of segmentation and enhancement of fingerprints. This approach is based on the fuzzy c-means algorithm (FCM), statistical features and frame differences Experimental results show the effectiveness and robustness of the proposed methods. We have tested this technique on 100 images taken from database FVC2004.","PeriodicalId":259067,"journal":{"name":"2011 International Conference on Communications, Computing and Control Applications (CCCA)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129670038","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
New delay-dependent stability conditions for linear systems with delay 具有时滞的线性系统的新的时滞相关稳定性条件
S. Elmadssia, K. Saadaoui, M. Benrejeb
{"title":"New delay-dependent stability conditions for linear systems with delay","authors":"S. Elmadssia, K. Saadaoui, M. Benrejeb","doi":"10.1080/21642583.2013.775537","DOIUrl":"https://doi.org/10.1080/21642583.2013.775537","url":null,"abstract":"In this work, delay-dependent stability conditions for systems described by delayed differential equations are presented. The employment of a special transformation to another state space representation named Benrejeb characteristic arrow matrix permit to determine a practical asymptotic stability condition. An Illustrative example is presented permitting to understand the application of the proposed methods.","PeriodicalId":259067,"journal":{"name":"2011 International Conference on Communications, Computing and Control Applications (CCCA)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123192372","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: 41
Model order reduction of large-scale dynamical systems with Jacobi-Davidson style eigensolvers 基于Jacobi-Davidson型特征解的大尺度动力系统模型降阶
P. Benner, M. Hochstenbach, Patrick Kurschner
{"title":"Model order reduction of large-scale dynamical systems with Jacobi-Davidson style eigensolvers","authors":"P. Benner, M. Hochstenbach, Patrick Kurschner","doi":"10.1109/CCCA.2011.6031208","DOIUrl":"https://doi.org/10.1109/CCCA.2011.6031208","url":null,"abstract":"Many applications concerning physical and technical processes employ dynamical systems for simulation purposes. The increasing demand for a more accurate and detailed description of realistic phenomena leads to high dimensional dynamical systems and hence, simulation often yields an increased computational effort. An approximation, e.g. with model order reduction techniques, of these large-scale systems becomes therefore crucial for a cost efficient simulation. This paper focuses on a model order reduction method for linear time in-variant (LTI) systems based on modal approximation via dominant poles. There, the original large-scale LTI system is projected onto the left and right eigenspaces corresponding to a specific subset of the eigenvalues of the system matrices, namely the dominant poles of the system's transfer function. Since these dominant poles can lie anywhere in the spectrum, specialized eigenvalue algorithms that can compute eigentriplets of large and sparse matrices are required. The Jacobi-Davidson method has proven to be a suitable and competitive candidate for the solution of various eigenvalue problems and hence, we discuss how it can be incorporated into this modal truncation approach. Generalizations of the reduction technique and the application of the algorithms to second-order systems are also investigated. The computed reduced order models obtained with this modal approximation can be combined with the ones constructed with Krylov subspace or balanced truncation based model order reduction methods to get even higher accuracies.","PeriodicalId":259067,"journal":{"name":"2011 International Conference on Communications, Computing and Control Applications (CCCA)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123498928","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
Reducing Wi-Fi handover delay using a new positioning process 使用新的定位过程减少Wi-Fi切换延迟
M. Zaidi, J. Bhar, R. Ouni, R. Tourki
{"title":"Reducing Wi-Fi handover delay using a new positioning process","authors":"M. Zaidi, J. Bhar, R. Ouni, R. Tourki","doi":"10.1109/CCCA.2011.6031469","DOIUrl":"https://doi.org/10.1109/CCCA.2011.6031469","url":null,"abstract":"Mobility has now a crucial requirement for wireless communication. Handover is one of the major tasks that are used to support continuous transmission for a mobile terminal into different radio coverage area. Optimizing the existing handover protocol requires integrating new functionalities. This work focuses on presenting and optimizing handover algorithm. We analyze handover time in wireless local area networks based on the IEEE 802.11b MAC protocol. In fact, scan phase is the main contributor to the handover time. Then, we propose a handover model which replaces a scan phase by a positioning process. This model is able to select the suitable access point (AP) based on the shortest distance far from the mobile terminal (MT). Proposed Handover allows a mobile user to reacting quickly to decide about to which access point to connect. Simulation results show that the proposed model provides gains in term of delays and Handover success in various scenarios","PeriodicalId":259067,"journal":{"name":"2011 International Conference on Communications, Computing and Control Applications (CCCA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123674013","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
Tomographic velocity images by radial basis function artificial neural network 层析速度图像的径向基函数人工神经网络
Nouredine Djarfour, Jalal Farahtia, K. Baddari, Tahar Aifa
{"title":"Tomographic velocity images by radial basis function artificial neural network","authors":"Nouredine Djarfour, Jalal Farahtia, K. Baddari, Tahar Aifa","doi":"10.1109/CCCA.2011.6031441","DOIUrl":"https://doi.org/10.1109/CCCA.2011.6031441","url":null,"abstract":"The seismic tomography can be used to constrain estimates of the Earth's velocity structure. This kind of problem is usually known to be non-linear, high-dimensional, with a complex search space which may be riddled with many local minima, and results in irregular objective functions. We investigate here the performance and the application of a radial basis function artificial neural network (RBF-ANN) type, in the tomographic velocity reconstruction. The proposed structure has the advantage of being easily trained by means of a back-propagation algorithm without getting stuck in local minima. An adequate cross-validation test is run to ensure the performance of the network on new data sets. The application of such a network to synthetic data shows that the inverted seismic velocity section was efficient. A comparative reconstruction with tow classical methods was performed using Algebraic Reconstruction Technique (ART) Conjugate Gradient (CG). The results clearly show improvements of the quality of the reconstruction obtained by radial basis function artificial neural network.","PeriodicalId":259067,"journal":{"name":"2011 International Conference on Communications, Computing and Control Applications (CCCA)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114625616","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 multi-user detection scheme for chaotic-based wireless communication systems using adaptive filters and regression methods 基于自适应滤波和回归方法的混沌无线通信系统多用户检测方案
M. Al-Mistarihi, M. Marei, A. Ijjeh
{"title":"A multi-user detection scheme for chaotic-based wireless communication systems using adaptive filters and regression methods","authors":"M. Al-Mistarihi, M. Marei, A. Ijjeh","doi":"10.1109/CCCA.2011.6031498","DOIUrl":"https://doi.org/10.1109/CCCA.2011.6031498","url":null,"abstract":"Recently, Chaos theory has been a very useful tool in communications, the chaotic modulation, called Chaotic Shift Keying (CSK), is used in multiuser scenarios. In this paper, the performance analysis of a chaotic-based communication system is investigated under the effect of Nakagami-fading and AWGN, a model for both transmitter and receiver is established, Spread Spectrum techniques are used, and two different methodologies of detection are proposed. The first detection method is based on adaptive filters with the usage of LMS concept, the second method uses regression method. A comparison of the performance of these detection methods is done, showing the effect of fading and multiuser estimation error.","PeriodicalId":259067,"journal":{"name":"2011 International Conference on Communications, Computing and Control Applications (CCCA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124032977","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
Feature extraction for atmospheric pollution detection 大气污染检测的特征提取
Sabra El Ferchichi, S. Zidi, K. Laabidi, M. Ksouri, S. Maouche
{"title":"Feature extraction for atmospheric pollution detection","authors":"Sabra El Ferchichi, S. Zidi, K. Laabidi, M. Ksouri, S. Maouche","doi":"10.1109/CCCA.2011.6031491","DOIUrl":"https://doi.org/10.1109/CCCA.2011.6031491","url":null,"abstract":"Atmospheric data sets are represented by an amount of heterogeneous and redundant data. As number of measurements grows, a strategy is needed to select and efficiently analyze the useful information from the whole data set. The aim of this work is to propose a feature extraction technique based on construction of clusters of similar features. The main objective of the proposed process is to attempt to reach a more accurate classification task and to achieve a more compact representation of the underlying structure of the data. The paper reports the results obtained using the above extraction and analysis procedure of a real data set on atmospheric pollution. It is shown that the proposed approach is able to detect underlying relationship between features and thus get to ameliorate classification accuracy rate.","PeriodicalId":259067,"journal":{"name":"2011 International Conference on Communications, Computing and Control Applications (CCCA)","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127602380","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
Tolerant control for an autonomous vehicle subject to faulty steering system 自动驾驶汽车转向系统故障的容错控制
Alain Haddad, A. Aitouche, V. Cocquempot, A. Glumineau
{"title":"Tolerant control for an autonomous vehicle subject to faulty steering system","authors":"Alain Haddad, A. Aitouche, V. Cocquempot, A. Glumineau","doi":"10.1109/CCCA.2011.6031514","DOIUrl":"https://doi.org/10.1109/CCCA.2011.6031514","url":null,"abstract":"This paper deals with the design of an intelligent controller acting on each rear wheel velocity with the objective to ensure vehicle stability. It is shown that the vehicle trajectory may be controlled using each wheel independently, which increases the safety of the whole system. The control law is designed using a nonlinear car model. The car's trajectory reference is chosen based on a double lane change maneuver (which respects the ISO:3888-1:1999(F) norm). Simulations are performed using the 3 D graphical design software Vrealm Builder 2.0 associated with Matlab/Simulink software.","PeriodicalId":259067,"journal":{"name":"2011 International Conference on Communications, Computing and Control Applications (CCCA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126369916","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
On-line identification of multivariable nonlinear system using neural networks 多变量非线性系统的神经网络在线辨识
A. Errachdi, I. Saad, M. Benrejeb
{"title":"On-line identification of multivariable nonlinear system using neural networks","authors":"A. Errachdi, I. Saad, M. Benrejeb","doi":"10.1109/CCCA.2011.6031501","DOIUrl":"https://doi.org/10.1109/CCCA.2011.6031501","url":null,"abstract":"In this paper, an on-line identification method based on recurrent neural networks (RNN) proposed for multivariable nonlinear systems. This work is an extension of an on-line method for single-input single output system. The large number of input-output vectors is being considered. As the complexity and nonlinearity of the systems is treated. The effectiveness of the proposed algorithm applied to two examples of multivariable nonlinear dynamic systems is demonstrated by simulation experiments. The results of simulation showed that the use of the neural networks is helpful for adaptive strategy design.","PeriodicalId":259067,"journal":{"name":"2011 International Conference on Communications, Computing and Control Applications (CCCA)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132065365","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
Indirect field oriented control: A control strategy for electric wind power conversion 间接场定向控制:一种风电转换控制策略
A. Naamane, N. M'Sirdi, H. Tlijani
{"title":"Indirect field oriented control: A control strategy for electric wind power conversion","authors":"A. Naamane, N. M'Sirdi, H. Tlijani","doi":"10.1109/CCCA.2011.6031542","DOIUrl":"https://doi.org/10.1109/CCCA.2011.6031542","url":null,"abstract":"Different electric wind power conversion systems structures can be used based on the structures of converters used. The main objective in all topologies is always the same: the wind energy at varying wind velocities has to be converted to electric power with the highest performances [6,7,8,9,10]. In this paper a wind energy conversion schemes is presented based on the Indirect Field Oriented Control (IFOC)","PeriodicalId":259067,"journal":{"name":"2011 International Conference on Communications, Computing and Control Applications (CCCA)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133950460","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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