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

Optimal H∞ control without reaching phase with the differential evolution PID based on PSS for multi-machine power system 基于PSS的多机电力系统差分进化PID无相位最优H∞控制

2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-05-14 DOI: 10.1109/ISACV.2015.7106173

Faiza Dib, I. Boumhidi

{"title":"Optimal H∞ control without reaching phase with the differential evolution PID based on PSS for multi-machine power system","authors":"Faiza Dib, I. Boumhidi","doi":"10.1109/ISACV.2015.7106173","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7106173","url":null,"abstract":"The objective of this paper is to design a nonlinear robust controller for the multi-machine power systems. We present in this study an optimal H∞ tracking control without reaching phase combined with the Proportional Integral Derivative based on Power System Stabilizer (PID-PSS) optimized by Differential Evolution algorithm. To eliminate the tradeoffs between the H∞ tracking performance and the high gain at the control input, we have defined a new method based on the modified output tracking error by using the exponential function. The Differential Evolution algorithm is used in this study to find the optimal values of the three parameters (Kp, Ki, Kd) of (PID-PSS) and also used to tune the exponential function of the tracking error. The proposed approach is designed to eliminate completely the reaching phase and to enhance the stability and the dynamic response of the multi-machine power system. 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":"64 2-3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131445711","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

Intelligent control in photovoltaic systems by neural network 基于神经网络的光伏系统智能控制

2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7106181

F. Dkhichi, B. Oukarfi

引用次数: 2

Motion detection based on the combining of the background subtraction and spatial color information 基于背景减法和空间色彩信息相结合的运动检测

2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7105548

Omar El Harrouss, Driss Moujahid, H. Tairi

{"title":"Motion detection based on the combining of the background subtraction and spatial color information","authors":"Omar El Harrouss, Driss Moujahid, H. Tairi","doi":"10.1109/ISACV.2015.7105548","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7105548","url":null,"abstract":"To detect the moving objects in a video sequence based on background subtraction approaches, a background model should be generated at the first time before subtract it from each image of the sequence and then segmenting the moving objects. But this detection can be difficult when the environment is influenced by illumination and weather changes. In The goal to solve the problem of environmental illumination changes in the background model and to classify pixels of the current image as foreground or background, a new method of background subtraction is presented in this paper. Firstly, the spatial color information is used to generate the background of each color space (R, G, and B) of the sequence. The absolute difference is computed to subtracting the background before compute the binary image of the moving objects using a threshold. This threshold is also used to update the background at each new image. The experimental results demonstrate that our approach is effective and accurate for moving objects detection and the use of spatial color information was robust to environmental illumination change. The experimental results are also compared with the results of the background estimation algorithm with Σ-Δ (SD) and Motion detection with pyramid structure of background model (MDPS).","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":"122289056","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: 22

Hyperspectral images classification and Dimensionality Reduction using Homogeneity feature and mutual information 基于同质性特征和互信息的高光谱图像分类与降维

2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7106167

H. Nhaila, M. Merzouqi, E. Sarhrouni, A. Hammouch

引用次数: 4

Multi-agent system based on fuzzy control and prediction using NN for smart microgrid energy management 基于模糊控制和神经网络预测的智能微电网能量管理多智能体系统

2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7105538

Didi Omar Elamine, E. Nfaoui, Boumhidi Jaouad

{"title":"Multi-agent system based on fuzzy control and prediction using NN for smart microgrid energy management","authors":"Didi Omar Elamine, E. Nfaoui, Boumhidi Jaouad","doi":"10.1109/ISACV.2015.7105538","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7105538","url":null,"abstract":"Nowadays, renewable energy is a promising solution to reduce the emissions and feed the lack of the energy in the world, the smart microgrid (MG) can be assumed as the ideal way to integrate with a large scale the renewable and clean energy source in the production of electricity and give to the consumer the opportunity to participate in the electricity market not just like consumer but also like producer, the aim of this paper is to present an energy management supervision for the MG, this management is based on multi-agent system(MAS), this concept allows the possibility to the different generation units of smart MG to collaborate in order to achieve the optimal strategy to deal with the problem of economical exchange with the main grid, The goal of our MAS is to control the amount of power delivered or taken from the main grid in order to reduce the cost and maximize the benefit, to achieve the mentioned goal we will use the neural network to predict the amount of electricity that will be produced for the next hour and fuzzy logic control for the battery to taking a reasonable decision about storing or selling electricity, finally we will show in the simulation based JADE platform the impact of using the energy management supervision.","PeriodicalId":426557,"journal":{"name":"2015 Intelligent Systems and Computer Vision (ISCV)","volume":"44 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":"127615032","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: 18

A new modeling approach for Arabic opinion mining recognition 一种新的阿拉伯语意见挖掘识别建模方法

2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7105541

Walid Cherif, Abdellah Madani, M. Kissi

引用次数: 21

/r/-Letter disorder diagnosis (/r/-LDD): Arabic speech database development for automatic diagnosis of childhood speech disorders (Case study) /r/-字母障碍诊断(/r/-LDD):用于儿童语言障碍自动诊断的阿拉伯语语音数据库开发(案例研究)

2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7105542

N. Hammami, M. Bedda, N. Farah, S. Mansouri

{"title":"/r/-Letter disorder diagnosis (/r/-LDD): Arabic speech database development for automatic diagnosis of childhood speech disorders (Case study)","authors":"N. Hammami, M. Bedda, N. Farah, S. Mansouri","doi":"10.1109/ISACV.2015.7105542","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7105542","url":null,"abstract":"In light of the scarcity of both published and free Acoustic Arabic databases, we propose in this paper Acoustic Arabic database to be a reference in the field of automatic Arabic speech recognition, this database is the result of a case study that has been developed to contribute to the automatic diagnosis of speech disorders in Arabic speaking children, the field work was in collaboration with experts in communication and relying on some multinational Arabic schools to record samples of various Arabic speech dialects in normal circumstances. The letter \"R\" has been selected as the most common letters that children suffer from. In this paper we will explain the mechanism of the development and design of this database, which is divided into three sub databases: the first is for diagnosis of the disorder in a letter \"R\" when its position is in the beginning of the word and the second when it is in the middle of the word the last one when it is at end of the word, each sub database contains speech recordings for 60 children; 30 males and 30 females, each child repeats the voice disorder five times. We hope that this acoustic database will be considered challenge for working more and to be a reference for future researches as the identification of Arabic speech in general and especially for the automatic diagnosis and treatment of speech disorders for children.","PeriodicalId":426557,"journal":{"name":"2015 Intelligent Systems and Computer Vision (ISCV)","volume":"69 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":"127352624","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

A new moving object tracking method using particle filter and probability product kernel 提出了一种基于粒子滤波和概率积核的运动目标跟踪方法

2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7105546

Hamd Ait Abdelali, F. Essannouni, Leila Essannouni, D. Aboutajdine

引用次数: 6

A type-1 fuzzy logic algorithm to manage the flow of energy in a stand-alone PV/wind/battery hybrid system 基于1型模糊逻辑的独立光伏/风能/电池混合系统能量流管理算法

2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7106186

Sanaa Faquir, Ali Yahyaouy, H. Tairi, J. Sabor

引用次数: 5

Neural Best Fit Void Filling Scheduler in fixed time for optical burst switching 用于光突发交换的固定时间神经网络最优拟合空隙填充调度

2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7106163

Abderrahim Larhlimi, M. Mestari, M. Elkhaili

引用次数: 2