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

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An interval type-2 fuzzy logic PSS with the optimal H∞ tracking control for multi-machine power system 多机电力系统的区间2型模糊逻辑PSS最优H∞跟踪控制
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1504/IJIEI.2016.10001299
Khaddouj Ben Meziane, I. Boumhidi
{"title":"An interval type-2 fuzzy logic PSS with the optimal H∞ tracking control for multi-machine power system","authors":"Khaddouj Ben Meziane, I. Boumhidi","doi":"10.1504/IJIEI.2016.10001299","DOIUrl":"https://doi.org/10.1504/IJIEI.2016.10001299","url":null,"abstract":"The aim of this paper is to design a nonlinear robust controller for a multi-machine power system. The optimal H∞ tracking control combined with the interval type-2 fuzzy logic control as a power system stabilizer is proposed in this study. The type-2 fuzzy logic based on interval value sets is capable for modeling the uncertainty and imprecision and to overcome the drawbacks of the conventional PSS. The optimal H∞ tracking control guarantees the convergence of the errors to the neighborhood of zero. The objective of the proposed method is to enhance the stability and the dynamic response of the multi-machine power system in different operating conditions. In order to test the effectiveness of the proposed method, the simulation results show the damping of the oscillations of the angle and angular speed with reduced overshoots and quick settling time.","PeriodicalId":426557,"journal":{"name":"2015 Intelligent Systems and Computer Vision (ISCV)","volume":"13 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":"121655795","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
Gene-expression-based cancer classification through feature selection with KNN and SVM classifiers 基于KNN和SVM分类器特征选择的基于基因表达的癌症分类
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7106168
S. Bouazza, N. Hamdi, A. Zeroual, K. Auhmani
{"title":"Gene-expression-based cancer classification through feature selection with KNN and SVM classifiers","authors":"S. Bouazza, N. Hamdi, A. Zeroual, K. Auhmani","doi":"10.1109/ISACV.2015.7106168","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7106168","url":null,"abstract":"This paper presents a study of feature selection methods effect, using a filter approach, on the accuracy and error of supervised classification of cancer. A comparative evaluation between different selection methods: Fisher, T-Statistics, SNR and ReliefF, is carried out, using the dataset of different cancers; leukemia cancer, prostate cancer and colon cancer. The classification results using k nearest neighbors (KNN) and support vector machine (SVM) classifiers show that the combination between SNR's method and the SVM classifier can present the highest accuracy.","PeriodicalId":426557,"journal":{"name":"2015 Intelligent Systems and Computer Vision (ISCV)","volume":"9 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":"129917521","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: 31
Translation and scale invariants of three-dimensional Tchebichef moments 三维切切夫矩的平移和尺度不变量
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7106177
Mosatafa El Mallahi, Abderrahim Mesbah, H. Qjidaa, Khalid Zenkouar, Hakim El Fadili
{"title":"Translation and scale invariants of three-dimensional Tchebichef moments","authors":"Mosatafa El Mallahi, Abderrahim Mesbah, H. Qjidaa, Khalid Zenkouar, Hakim El Fadili","doi":"10.1109/ISACV.2015.7106177","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7106177","url":null,"abstract":"Three-dimensional digital images are gaining more attention of image processing application and pattern classification. Discrete Tchebichef moments are usually used pattern classification in the field of image processing application and pattern classification. In this paper, we introduce three-dimensional translation and scale invariants of tree-dimensional Tchebichef moments. They are algebraically derived directly from Tchebichef moments. Simulated experiments using 3-D MRI head image are carried out to verify the validity of the proposed invariance.","PeriodicalId":426557,"journal":{"name":"2015 Intelligent Systems and Computer Vision (ISCV)","volume":"27 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":"127291892","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
Criteria and technique to choose a good ρ parameter for the D-index 为d -指数选择好的ρ参数的准则和技术
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7106169
Y. Hanyf, H. Silkan, H. Labani
{"title":"Criteria and technique to choose a good ρ parameter for the D-index","authors":"Y. Hanyf, H. Silkan, H. Labani","doi":"10.1109/ISACV.2015.7106169","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7106169","url":null,"abstract":"D-index is among the most efficient similarity search indexes, its performance dramatically depends on the choice of the ρ parameter. Although the importance of this parameter, there are no techniques or criteria proposed to choose an adequate ρ value. In this paper, we propose a criteria and a technique that ensure a good choice of ρ, and we use this technique to modify the original D-index to make it able to choose an adequate value of ρ. The experiments show that the modified D-index is more efficient when the exclusion set is small and the comparison between original and modified D-index proves that the modified D-index presents a good improvement in terms of the search cost.","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":"130319441","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
Object tracking using particle filter based on Lyapunov stability 基于Lyapunov稳定性的粒子滤波目标跟踪
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7105549
Y. Dhassi, A. Aarab, M. Alfidi
{"title":"Object tracking using particle filter based on Lyapunov stability","authors":"Y. Dhassi, A. Aarab, M. Alfidi","doi":"10.1109/ISACV.2015.7105549","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7105549","url":null,"abstract":"Object tracking in video data is a topic that attracts many researchers, many algorithms have been developed in this context. Particle filter is one of the methods that having great success for its characteristic to track object in case of not-Gaussian and non linear system. In this paper we will present a new approach based on the Lyapunov function using the linear matrix inequality formulation. First a motion model is constructed to set the system model of the estimator for estimate the global linear motion. The random work RW model is used to represent the dynamic system and the system's energy is evaluated by the Lyapunov function using the Linear Matrix Inequality (LMI) formulation to establish the estimator. Second we use particle filter to handle the non linear local motion. The dominant color of the moving object in RGB color space will be used as feature to model the appearance of the target. Experiments were performed to confirm the effectiveness of this method to track a moving object.","PeriodicalId":426557,"journal":{"name":"2015 Intelligent Systems and Computer Vision (ISCV)","volume":"7 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":"132328494","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
A thresholding algorithm for improved split-row decoding method of irregular LDPC codes 一种改进不规则LDPC码分行译码方法的阈值算法
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7106166
R. El Alami, H. Qjidaa, Y. Mehdaoui, M. Mrabti
{"title":"A thresholding algorithm for improved split-row decoding method of irregular LDPC codes","authors":"R. El Alami, H. Qjidaa, Y. Mehdaoui, M. Mrabti","doi":"10.1109/ISACV.2015.7106166","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7106166","url":null,"abstract":"In this paper, we propose a thresholding algorithm to improve Split-Row decoding method of irregular LDPC codes, with maintaining the same level of complexity. We present in this paper a full description of this method and its benefits for various row weight and length code word. In this context, we have performed an implementation on MATLAB of an irregular LDPC codes with different code word and code rate. Simulation results over an additive white Gaussian channel show that the error performance of high row-weight codes with thresholding algorithm is within 0.1-0.2 dB of the normalized Min-Sum algorithm. The study result shows that the thresholding algorithm outperforms original Split Row of irregular codes.","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":"129868550","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
MAS energy management of a microgrid based on fuzzy logic control 基于模糊逻辑控制的微电网MAS能量管理
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7106187
Maria Serraji, J. Boumhidi, E. Nfaoui
{"title":"MAS energy management of a microgrid based on fuzzy logic control","authors":"Maria Serraji, J. Boumhidi, E. Nfaoui","doi":"10.1109/ISACV.2015.7106187","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7106187","url":null,"abstract":"This paper proposes a design and implementation of an autonomous multi agent system (MAS) for optimal micro grid (MG) scheduling energy control based on fuzzy logic decision. The complexity of climate makes renewable energy source included in a micro grid, difficult to be scheduled with traditional energy sources in centralized system. Furthermore the scheduling depend on energy sources constraints and market price changing extend the environment uncertainty and imprecision. The proposed approach is designed in order to satisfy load while trying to optimize the total operating cost. The micro grid considered in this paper consists of a wind turbine (WT), a photovoltaic (PV), a fuel cell (FC), micro turbine (MT) and battery storage. A detailed multi agent system based on fuzzy logic control demonstrates its reliability in meeting all the requirements of the system. The result analysis shows that the proposed method is beneficial to handle the problem of scheduling energy through micro grid better than centralized 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":"131973044","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
New models of visual saliency: Contourlet transform based model and hybrid model 新的视觉显著性模型:基于Contourlet变换的模型和混合模型
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7105547
Ilyass Abouelaziz, M. El Hassouni
{"title":"New models of visual saliency: Contourlet transform based model and hybrid model","authors":"Ilyass Abouelaziz, M. El Hassouni","doi":"10.1109/ISACV.2015.7105547","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7105547","url":null,"abstract":"Modeling of visual attention is a very active research domain which has attracted the attention of researchers over the past years. Several models of saliency detection are now available that have shown successful applications in various fields. In this paper, we initially present three models already existing in the literature, we are talking about Itti's model, Imamoglu's model and Le Moans's model. Then, we present our proposal models in order to improve the results obtained from these three models: the first one is based on the Contourlet Transform and the second is an Hybrid model which combines Imamoglu's model and Le Moans's model.","PeriodicalId":426557,"journal":{"name":"2015 Intelligent Systems and Computer Vision (ISCV)","volume":"49 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":"132473964","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
Clustering of large data based on the relational analysis 基于关联分析的大数据聚类
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7105550
S. Slaoui, Yasmine Lamari
{"title":"Clustering of large data based on the relational analysis","authors":"S. Slaoui, Yasmine Lamari","doi":"10.1109/ISACV.2015.7105550","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7105550","url":null,"abstract":"This paper presents a fast heuristic which finds clusters by partitioning categorical large data sets according to the Relational Analysis, whereby the cluster analysis is modeled as a linear integer program with n2 attributes (n is the number of observations) and solved by the optimization under constraints of the Condorcet criterion. Without neither a sampling method nor the fixing of input parameters and while using a natural cluster structure, Transitive heuristic needs a small amount of memory and a short time to provide good quality partition. Experimental results on real and synthetic data sets are presented in order to show that clusters, formed using this technique, are intensive and accurate.","PeriodicalId":426557,"journal":{"name":"2015 Intelligent Systems and Computer Vision (ISCV)","volume":"6 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":"133150502","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
Hand gesture recognition for automatic tap system 用于自动敲击系统的手势识别
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7106176
S. Ullah, Gule Saman, F.Noorullah Khan
{"title":"Hand gesture recognition for automatic tap system","authors":"S. Ullah, Gule Saman, F.Noorullah Khan","doi":"10.1109/ISACV.2015.7106176","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7106176","url":null,"abstract":"This paper presents a technique for real time human hand gesture recognition system for automatic tap operation. Hand gesture recognition based machines have been widely developed in recent years. Most of the techniques use skin color models due to its robustness and simplicity. In this work there are two major steps for achieving this goal: firstly, the detection of skin color and secondly, the classification of a gesture into valid and invalid hand gesture for the operation of the water tap. The proposed system uses Support Vector Machine and neural network for classification of the hand gesture which in turn operates the tap.","PeriodicalId":426557,"journal":{"name":"2015 Intelligent Systems and Computer Vision (ISCV)","volume":"34 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":"134117340","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
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