{"title":"Increasing the capacity of O-MIMO systems using MGDM technique by transfer matrix decomposition","authors":"F. Baklouti, R. Attia","doi":"10.1109/ICEESA.2013.6578368","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578368","url":null,"abstract":"Mode Group Diversity Multiplexing (MGDM) is an Optical Multiple-Input-Multiple-Output (O-MIMO) technique that provides larger robustness and capacity for data communication over MultiMode Fiber (MMF). The utility of a MGDM system in terms of capacity expansion gives a major interest in most applications of optical communication. In this paper, we propose a transfer matrix decompositioon of O-MIMO systems using MGDM technique in order to increase the capacity of the system. This treatment can be divided into 3 stages: noise whitening, channel diagonalization and dimension reduction. Numerical Matlab simulations results of a 3×3 MGDM link are given to support the efficiency of this study.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131462541","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}
{"title":"Faults detection and isolation for energy management system in electric traction","authors":"Bejaoui Fatah, Yahoui Hamed, Mechmeche Chokri, Hadjbraeik Naceur, Hammouri Hassan","doi":"10.1109/ICEESA.2013.6578370","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578370","url":null,"abstract":"This paper deals with the problem of diagnosis of faults in energy management for electric traction system. In fact, a bilinear model for the DC-DC (Boost and Buck/Boost) power converters is proposed. The analytical approach of residual generation using the observers with unknown inputs is reviewed, the computation of a bank of residual generators is exploited for fault detection and isolation, in the presence of disturbance. To illustrate the effectiveness of this method, simulations using Matlab/simulink are carried out.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125607472","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}
{"title":"Neural network based method for the automatic detection of the stator faults of the induction motor","authors":"Monia Ben Khader Bouzid, G. Champenois","doi":"10.1109/ICEESA.2013.6578393","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578393","url":null,"abstract":"This paper proposes a neural network based method to achieve an automatic detection of different stator faults of the induction motor. The concerned stator faults are the inter turns short circuit, phase to phase and phase to ground faults. The inputs of the feedforward multi-layer neural network are the indicators of the stator faults while its outputs are the corresponding faults. Therefore, the used indicators of faults are extracted from the symmetrical components of the stator currents which are the magnitude and the angle phase of the negative and zero sequence current. The neural network is trained by the back-propagation algorithm. A faulty simplified multiple coupled circuit model of a 1.1 kW induction motor is used to simulate the different operating conditions of the machine useful to built the data base for the training and the test procedures. The good training and test results show the efficiency of the proposed method.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130944499","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}
{"title":"Flatness-based trajectory generation for induction machine control","authors":"Hajer Thabet, M. Ayadi","doi":"10.1109/ICEESA.2013.6578482","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578482","url":null,"abstract":"This article deals with the problem of trajectory generation and tracking for nonlinear systems. The principal problem considered concerns the generation of desired trajectories for differentially flat systems. In this work, two methods of trajectory generation are applied in case of induction machine control to solve the problem of trajectory tracking with good efficiencies. The first one is based on the polynomial functions and the second rests on the B-splines functions. The combined methods of PI controllers and trajectory planning give an improvement results in terms of trajectory tracking in the case of field-oriented control strategy.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115055689","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}
{"title":"Supervisory control strategy for optimal integration of direct drive wind turbine to the grid","authors":"M. Abbes, J. Belhadj","doi":"10.1109/ICEESA.2013.6578358","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578358","url":null,"abstract":"The main attention of this paper is to improve the integration of wind energy systems to the grid. Therefore, a new supervision scheme for a 2MW direct drive wind turbine is proposed. It aims to satisfy the new Grid Connection Requirements (GCR), where the lowest voltage dip that wind farms must withstand can reach 0% of nominal voltage. The power electronics interface of the investigated wind turbine consists of a back-to-back voltage source converter. The three-level, Neutral Point Clamped topology is used since multi-level converters are suitable for high power applications. Power limitation is achieved by pitch control. Supervision algorithm adapts the control strategy according to the different operating conditions. Thus, wind turbine safety during faults is guaranteed and it can provide ancillary services, necessary for power system stability. Performances are evaluated in terms of accordance with GCR including, low voltage ride-through capabilities, power limitation and reactive power control.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124354189","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}
{"title":"Animating signing avatar using descriptive sign language","authors":"Nour Ben Yahia, M. Jemni","doi":"10.1109/ICEESA.2013.6578385","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578385","url":null,"abstract":"This paper proposes an interactive manipulation of signing avatar (complex human's figures) by means of a descriptive sign language. The objective is to improve the human-computer communication, to generate precise signs for Deaf community, to control and animate the virtual character. This approach has been developed to manipulate robots through several analytic and numerical resolution methods. These methods have been applied to the virtual character for better monitoring and to ensure a realistic animation in real time.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123706776","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}
Ahmed Nejmedine Machraoui, M. A. Cherni, M. Sayadi
{"title":"Ant Colony optimization algorithm for breast cancer cells classification","authors":"Ahmed Nejmedine Machraoui, M. A. Cherni, M. Sayadi","doi":"10.1109/ICEESA.2013.6578445","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578445","url":null,"abstract":"Ant colony optimization (ACO) is a bio-inspired technique formalized into a meta-heuristic for combinatorial optimization problems. In this work, the ACO-Otsu segmentation method, based on ACO algorithm and Otsu's method as a fitness function, is applied in classification and detection of breast cancer cells. Subsequently, this method is compared with the Otsu's standard method. The experiments show the performance of this probabilistic search approach in such type of problems.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125777477","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}
S. Laribi, G. Champenois, Azzedine Bendiabdellah, S. Meradi
{"title":"Bar faults diagnosis of an indirect vector control squirrel cage induction motor","authors":"S. Laribi, G. Champenois, Azzedine Bendiabdellah, S. Meradi","doi":"10.1109/ICEESA.2013.6578441","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578441","url":null,"abstract":"In this paper, the performance study of the vector control method applied to a three phase squirrel cage induction motor with rotor broken bars faults as well as with both faults simultaneously is being presented. The fault diagnosis technique used in this work is based on the spectral analysis of electrical and mechanical quantities such as currents (id, iq), speed error (ew), direct current error (eId), quadratic current error (eIq) and voltage. Simulation as well as experimental results are being carried and presented to illustrate the influence of vector control on a faulty squirrel cage induction motor.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128452435","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}
{"title":"A novel neural network approach for image edge detection","authors":"S. Abid, F. Fnaiech, E. Ben Braiek","doi":"10.1109/ICEESA.2013.6578360","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578360","url":null,"abstract":"In this work a new method for image edge detection based on multilayer perceptron (MLP) is proposed. The method is based on updating a MLP to learn a set of contours drawn on a 3×3 grid and then take advantage of the network generalization capacity to detect different edge details even for very noisy images. The method is applied first to Gray scale images and can be easily extended to color ones. Simulations on synthetic and real image show much promised results in term of precision and localization. Moreover the method works well even for very low contrast images for which other edge operators fail.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117081295","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}
{"title":"Input-output feedback linearization control of a Cascaded H-bridge multilevel inverter","authors":"A. Rehaoulia, M. Hamouda, F. Fnaiech","doi":"10.1109/ICEESA.2013.6578463","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578463","url":null,"abstract":"This paper proposes a voltage controller for Cascaded H-bridge three-phase multilevel inverters operating in islanded mode with constant-amplitude constant-frequency output voltages. For this purpose, a non linear state-space model of the converter feeding a three-phase load via a second order LC filter is developed. Next, an input-output feedback linearization controller is designed so as to drive the output voltages to track the target references. Numerical simulations carried out on a 7 level inverter emphasize the effectiveness of the proposed model and control law. Based on feedback linearization strategy, the closed loop response of the system is stable even in case of disturbances. The transient state is extremely short and presents small overshoots.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"229 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122052929","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}