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2015 Intelligent Systems and Computer Vision (ISCV)最新文献

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New radiolocation technique for intelligent antennas 智能天线无线定位新技术
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7106162
Youssef Khmou, S. Safi
{"title":"New radiolocation technique for intelligent antennas","authors":"Youssef Khmou, S. Safi","doi":"10.1109/ISACV.2015.7106162","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7106162","url":null,"abstract":"This paper treats the estimation of narrowband Direction of Arrival (DoA) of far field and punctual sources using one dimensional smart antennas, in the first part we demonstrate a new expression of the propagator operator which is subspace based technique, using the orthonormal matrix Q obtained from QR factorization of data's second order statistics, next we present a new high resolution technique using the decreasing exponential operator, which is a function inspired from several physics laws, this matrix function is adjustable using minimum eigenvalue of spectral matrix. The introduced mechanism allows an approximate binarization of system's eigenvalues to obtain a projector into the noise subspace. Additionally we demonstrate that if the powers of transmitted signals are known a priori, an accurate estimation of noise power can be calculated using the diagonal components of spectral matrix. Numerical simulation is presented using a non uniform linear array, the obtained results verify that the proposed technique has the same resolution power as the eigenspace based spectral techniques.","PeriodicalId":426557,"journal":{"name":"2015 Intelligent Systems and Computer Vision (ISCV)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121556102","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
Knowledge discovery in WSN using mobile agents 基于移动代理的WSN知识发现
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7106161
R. Amine, Kada Amine, B. Khalid, Ziyati Elhoussaine, Ouzzif Mohammed
{"title":"Knowledge discovery in WSN using mobile agents","authors":"R. Amine, Kada Amine, B. Khalid, Ziyati Elhoussaine, Ouzzif Mohammed","doi":"10.1109/ISACV.2015.7106161","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7106161","url":null,"abstract":"The lifespan of wireless sensors networks (WSN) is entirely dependent on the energy level in sensors. To reduce the energy consumption, the traffic exchange between sensor nodes must be reduced in order to preserve the remaining energy. To reduce the network traffic overhead and prolong the lifespan of the network, we can use mobile agents to gather data from source nodes. However, this solution can be expensive in terms of delivery latency. For that we propose a new energy protocol named Energy Efficient Clustering with Mobile Agents (EECMA) based on combining the two paradigms of client/server and mobile agent to achieve the trade-off between increasing the network lifetime and reducing the data delivery latency. Furthermore, we expose a multidimensional model to process incoming data from sinks in order to enhance the overall performance of our system.","PeriodicalId":426557,"journal":{"name":"2015 Intelligent Systems and Computer Vision (ISCV)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122983996","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
Motion detection using color structure-texture image decomposition 基于彩色结构纹理图像分解的运动检测
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7105545
I. Bellamine, H. Tairi
{"title":"Motion detection using color structure-texture image decomposition","authors":"I. Bellamine, H. Tairi","doi":"10.1109/ISACV.2015.7105545","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7105545","url":null,"abstract":"Analyzing and interpreting video is a growing topic in computer vision and its applications. This paper mainly contributes to the Color Space-Time Interest Points (CSTIP) extraction and detection. We propose a new method for detection of moving objects. Two main steps compose the proposed method. First, we suggest applying the algorithm of the detection of Color Space-Time Interest Points (CSTIP) on both components of the Color Structure - Texture Image Decomposition which is based on a Partial Differential Equation (PDE): a color geometric structure component and a color texture component. A descriptor is associated to each of these points. In a second stage, we address the problem of grouping the points (CSTIP) into clusters. Experiments and comparison to other motion detection methods on challenging sequences show the performance of the proposed method and its utility for video analysis. Experimental results are obtained from very different types of videos, namely sport videos and animation movies.","PeriodicalId":426557,"journal":{"name":"2015 Intelligent Systems and Computer Vision (ISCV)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133496232","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
A comparison of supervised classification methods for a statistical set of features: Application: Amazigh OCR 一个统计特征集的监督分类方法的比较:应用:Amazigh OCR
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7106171
N. Aharrane, K. El Moutaouakil, K. Satori
{"title":"A comparison of supervised classification methods for a statistical set of features: Application: Amazigh OCR","authors":"N. Aharrane, K. El Moutaouakil, K. Satori","doi":"10.1109/ISACV.2015.7106171","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7106171","url":null,"abstract":"This paper is devoted to the study of supervised learning methods as part of pattern recognition and especially the Amazigh Characters Recognition. The goal is to compare a partial list of the popular automatic classification methods, and test the performance of the proposed features set extracted from isolated characters using statistical methods with these different classifiers. In Experimental evaluation, several runs have been conducted for the different algorithms and the best accuracy observed is for the multilayer perceptron with a recognition rate about 96,47% which is very satisfactory.","PeriodicalId":426557,"journal":{"name":"2015 Intelligent Systems and Computer Vision (ISCV)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114249448","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
Embedded web server for real-time remote control and monitoring of an FPGA-based on-board computer system 基于fpga的车载计算机系统实时远程控制与监控的嵌入式web服务器
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7106185
A. Hanafi, M. Karim
{"title":"Embedded web server for real-time remote control and monitoring of an FPGA-based on-board computer system","authors":"A. Hanafi, M. Karim","doi":"10.1109/ISACV.2015.7106185","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7106185","url":null,"abstract":"Many FPGA-based embedded systems in space applications, automobiles, medical and industrial fields use an on-board computer system that needs remote emulation, monitoring, control and update. This paper describes an approach for the development of a real-time remote control and monitoring system using an embedded web server implemented in a MicroBlaze processor based software design, which takes Xilkernel as real-time operating system. We used the open source Lightweight IP (lwIP) standalone TCP/IP protocol stack to implement networking capability. The embedded web server will enable remote access to the on-board computer system by using a web browser for receive the downlink data, send the uplink commands or update the system. The embedded platform was implemented in Xilinx Spartan-6 FPGA SP605 Evaluation Kit.","PeriodicalId":426557,"journal":{"name":"2015 Intelligent Systems and Computer Vision (ISCV)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123236990","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: 10
Optimizing self-organizing method in traffic lights with PSO algorithm in a single junction modeled with a cellular automaton 基于元胞自动机模型的单路口交通信号灯PSO算法优化自组织方法
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7105537
Ilham Aarab, A. Madani, M. Kissi
{"title":"Optimizing self-organizing method in traffic lights with PSO algorithm in a single junction modeled with a cellular automaton","authors":"Ilham Aarab, A. Madani, M. Kissi","doi":"10.1109/ISACV.2015.7105537","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7105537","url":null,"abstract":"Among raised solutions for global flow optimization in traffic jam, we can quote traffic lights optimization. Several researches treated this problem and proposed different models to solve it. In this paper, we will use the cellular automaton to model the traffic flow in crossroads and the self-organizing method to control traffic lights and then we will apply the PSO algorithm to get the appropriate values of parameters for self-organizing method. We will demonstrate that PSO algorithm provides an optimal solution in order to improve the global flow.","PeriodicalId":426557,"journal":{"name":"2015 Intelligent Systems and Computer Vision (ISCV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126114226","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
Optimal perturb and observe control for MPPT based on least square support vector machines algorithm 基于最小二乘支持向量机算法的最优摄动与观测控制
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7106182
O. Dahhani, Abdeslam El Jouni, Bouchra Sefriti, I. Boumhidi
{"title":"Optimal perturb and observe control for MPPT based on least square support vector machines algorithm","authors":"O. Dahhani, Abdeslam El Jouni, Bouchra Sefriti, I. Boumhidi","doi":"10.1109/ISACV.2015.7106182","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7106182","url":null,"abstract":"In this paper, an new strategy of control that combines perturb and observe (P&O) method with least square support vector machines algorithm(LS-SVM) is designed. Some problems in P&O method like oscillations around maximum power point (MPP), failure at rapidly irradiation changing, and low convergence rate will be overcome. An voltage step which displaces the operating voltage to proximity of MPP is estimated at each large and sudden change of irradiation by an LS-SVM model. In order to save the ease and simplicity of maximum power point tracking (MPPT) control, The LS-SVM model is constructed off-line with reduced number of training data. The proposed control is applied on a PV water pumping system, and validated through simulations.","PeriodicalId":426557,"journal":{"name":"2015 Intelligent Systems and Computer Vision (ISCV)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129498362","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
An overview of big data opportunities, applications and tools 大数据机遇、应用和工具概述
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7105553
Fatima-Zahra Benjelloun, A. A. Lahcen, Samir Belfkih
{"title":"An overview of big data opportunities, applications and tools","authors":"Fatima-Zahra Benjelloun, A. A. Lahcen, Samir Belfkih","doi":"10.1109/ISACV.2015.7105553","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7105553","url":null,"abstract":"Nowadays, many industries and government can exploit Big Data to extract valuable insight. Such insight can help decision makers to enhance their strategies and optimize their plans. It helps the organization to gain a competitive advantage and provides added value for many economic and social sectors. In fact, several governments have launched programs, with important funds, in order to enhance research and development in the field of Big Data. Private sector has also made many investments to maximize profits and optimize resources. This article presents several Big Data projects, opportunities, examples and models in many sectors such as healthcare, commerce, tourism and politics. It gives also examples of technologies and solutions developed to face Big Data challenges.","PeriodicalId":426557,"journal":{"name":"2015 Intelligent Systems and Computer Vision (ISCV)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130852297","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: 38
Multi agent based incident management system according to ITIL 基于ITIL的多代理事件管理系统
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7105552
Amal Latrache, E. Nfaoui, J. Boumhidi
{"title":"Multi agent based incident management system according to ITIL","authors":"Amal Latrache, E. Nfaoui, J. Boumhidi","doi":"10.1109/ISACV.2015.7105552","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7105552","url":null,"abstract":"Various crucial business processes within the enterprise are based on information technology (IT) services and, as consequence, negative IT incidents can interrupt the daily enterprise' activities and cause negative effects such as: a loss of costumers' confidence, loss of productivity and direct financial loss. For that, enterprises look for implementing IT incident management system in order to weaken the negative impact of incidents. However, most of proposed solutions suffer from the complexity of use and integrating, the no-respect of the IT standards and the no-automated incident handling in some phases. In This paper, we propose an ITIL compliant incident management system based on multi-agent technology to overcome the above issues. Also we have enhancing the incidents matchmaking process by a semantic matchmaking algorithm.","PeriodicalId":426557,"journal":{"name":"2015 Intelligent Systems and Computer Vision (ISCV)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126876204","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: 8
A gender classification approach based on 3D depth-radial curves and fuzzy similarity based classification 基于三维深度-径向曲线和模糊相似度的性别分类方法
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7106178
Soufiane Ezghari, Naouar Belghini, Azeddine Zahi, A. Zarghili
{"title":"A gender classification approach based on 3D depth-radial curves and fuzzy similarity based classification","authors":"Soufiane Ezghari, Naouar Belghini, Azeddine Zahi, A. Zarghili","doi":"10.1109/ISACV.2015.7106178","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7106178","url":null,"abstract":"We propose in this paper, a gender recognition solution under the presence of occlusion and using the very restrict samples in the learning base. The developed approach is based on the extraction of pertinent 3D depth-radial curves that cover the nose region and combined dimensionality reduction using sparse random projection method; furthermore we propose an extension of similarity based classification approach to handle recognition task. Experimental results approve the effectiveness of our approach and show that the proposed method is also effective in the presence of variations such as facial expressions and rotation.","PeriodicalId":426557,"journal":{"name":"2015 Intelligent Systems and Computer Vision (ISCV)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131887523","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
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