Pub Date : 2017-11-01DOI: 10.1109/EITECH.2017.8255270
A. Naja, M. Boulmalf, M. Essaaidi
VANETs use many wireless communication techniques to improve driver's safety and transportation efficiency. Therefore, the design of a good broadcasting protocol that performs well in all criteria in order to avoid storm problem, remains the most paramount task. The thriving chore is how to maximize reachability while minimizing saved rebroadcast and end to end delay. Most of prior work maximizes reachability or minimizes the delay, but not both. In This paper, a novel method was proposed to calculate the waiting time of the counter-based and probability-based schemes, based on the speed of the vehicle, to assess the congestion level of the network. Simulation results through ns2 using 802.11P show that the new method give better performances using different mobility scenaios (Grid and highway Map).
{"title":"Performance analysis of an improved probability-based and counter-based broadcast protocols for VANETs","authors":"A. Naja, M. Boulmalf, M. Essaaidi","doi":"10.1109/EITECH.2017.8255270","DOIUrl":"https://doi.org/10.1109/EITECH.2017.8255270","url":null,"abstract":"VANETs use many wireless communication techniques to improve driver's safety and transportation efficiency. Therefore, the design of a good broadcasting protocol that performs well in all criteria in order to avoid storm problem, remains the most paramount task. The thriving chore is how to maximize reachability while minimizing saved rebroadcast and end to end delay. Most of prior work maximizes reachability or minimizes the delay, but not both. In This paper, a novel method was proposed to calculate the waiting time of the counter-based and probability-based schemes, based on the speed of the vehicle, to assess the congestion level of the network. Simulation results through ns2 using 802.11P show that the new method give better performances using different mobility scenaios (Grid and highway Map).","PeriodicalId":447139,"journal":{"name":"2017 International Conference on Electrical and Information Technologies (ICEIT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127490262","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}
Pub Date : 2017-11-01DOI: 10.1109/EITECH.2017.8255231
Mohamed Abyad, A. Karama, Abdelmounaim Khallouq
This paper proposes to model and control a nonlinear biological process. the main contribution concerns the use of fuzzy logic type Takagi-Sugeno to elaborate a fuzzy model and build fuzzy controllers. Two control approaches are considered. The first is the parallel distributed compensation control with respect constraints on the manipulated inputs. The second is an optimal linear quadratic integral control. An observer based control is used in the case of immeasurable premise variables. Finally, the effectiveness and performances of the method are illustrated in simulation by considering a nonlinear system.
{"title":"Fuzzy Takagi-Sugeno based modelling and control for an alcoholic fermentation process","authors":"Mohamed Abyad, A. Karama, Abdelmounaim Khallouq","doi":"10.1109/EITECH.2017.8255231","DOIUrl":"https://doi.org/10.1109/EITECH.2017.8255231","url":null,"abstract":"This paper proposes to model and control a nonlinear biological process. the main contribution concerns the use of fuzzy logic type Takagi-Sugeno to elaborate a fuzzy model and build fuzzy controllers. Two control approaches are considered. The first is the parallel distributed compensation control with respect constraints on the manipulated inputs. The second is an optimal linear quadratic integral control. An observer based control is used in the case of immeasurable premise variables. Finally, the effectiveness and performances of the method are illustrated in simulation by considering a nonlinear system.","PeriodicalId":447139,"journal":{"name":"2017 International Conference on Electrical and Information Technologies (ICEIT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121858677","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}
Pub Date : 2017-11-01DOI: 10.1109/EITECH.2017.8255290
L. Ammeh, H. E. Fadil, M. Oulcaid, A. Yahya, F. Giri, T. Ahmed-Ali
In this paper, we propose an adaptive nonlinear controller for Voltage Source Inverters (VSI) used in microgrids. We aim to enforce the output voltage to track a given reference even if the load resistance is unknown and time variable. After the system modeling, the controller is designed using the backstepping technique and it includes an estimation of the load resistance. Many simulations have been carried out under different conditions to validate the designed controller. The simulation results show that the elaborated controller allows a perfect tracking of the reference voltage and an asymptotic stability. It is worth mentioning that the designed controller can operate in both microgrid modes: grid connected mode and islanded mode.
{"title":"An adaptive nonlinear controller for microgrid inverters","authors":"L. Ammeh, H. E. Fadil, M. Oulcaid, A. Yahya, F. Giri, T. Ahmed-Ali","doi":"10.1109/EITECH.2017.8255290","DOIUrl":"https://doi.org/10.1109/EITECH.2017.8255290","url":null,"abstract":"In this paper, we propose an adaptive nonlinear controller for Voltage Source Inverters (VSI) used in microgrids. We aim to enforce the output voltage to track a given reference even if the load resistance is unknown and time variable. After the system modeling, the controller is designed using the backstepping technique and it includes an estimation of the load resistance. Many simulations have been carried out under different conditions to validate the designed controller. The simulation results show that the elaborated controller allows a perfect tracking of the reference voltage and an asymptotic stability. It is worth mentioning that the designed controller can operate in both microgrid modes: grid connected mode and islanded mode.","PeriodicalId":447139,"journal":{"name":"2017 International Conference on Electrical and Information Technologies (ICEIT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127774250","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}
Pub Date : 2017-11-01DOI: 10.1109/EITECH.2017.8255250
Y. Filali, M. A. Sabri, A. Aarab
Skin cancer is one of the most common types of cancer in the white populations and the incidence of skin cancer has reached epidemic proportions. This paper proposes a new approach for automatic segmentation and classification for skin lesion. The segmentation is based on a pre-processing using the color structure texture image decomposition. Geometrical component is used in the lesion segmentation and the texture component is used to extract the lesion texture features. Feature classification is performed using the Support Vector Machine (SVM) classifier. The efficiency and the performance of the proposed approach are evaluated in comparison with recent and robust dermoscopic approaches from literature.
{"title":"An improved approach for skin lesion analysis based on multiscale decomposition","authors":"Y. Filali, M. A. Sabri, A. Aarab","doi":"10.1109/EITECH.2017.8255250","DOIUrl":"https://doi.org/10.1109/EITECH.2017.8255250","url":null,"abstract":"Skin cancer is one of the most common types of cancer in the white populations and the incidence of skin cancer has reached epidemic proportions. This paper proposes a new approach for automatic segmentation and classification for skin lesion. The segmentation is based on a pre-processing using the color structure texture image decomposition. Geometrical component is used in the lesion segmentation and the texture component is used to extract the lesion texture features. Feature classification is performed using the Support Vector Machine (SVM) classifier. The efficiency and the performance of the proposed approach are evaluated in comparison with recent and robust dermoscopic approaches from literature.","PeriodicalId":447139,"journal":{"name":"2017 International Conference on Electrical and Information Technologies (ICEIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115188060","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}
Pub Date : 2017-11-01DOI: 10.1109/EITECH.2017.8255238
F. E. Tahiri, K. Chikh, AZIZ EL Afia, J. Lamterkati, M. Khafallah
This paper presents a comparative study between two different controls strategies of unit power factor rectifier: hysteresis current control and voltage oriented control (VOC), in order to obtain high performance DC bus voltage, lower input current harmonics and higher power factor. The studied control strategies presented in this paper are developed in MATLAB/Simulink environment and implemented in software of the DS1104 board. The simulation and experimental results demonstrate well the performance of the PWM rectifier control techniques.
{"title":"Simulation and experimental validation of VOC and hysteresis control strategies of unit power factor three-phase PWM rectifier","authors":"F. E. Tahiri, K. Chikh, AZIZ EL Afia, J. Lamterkati, M. Khafallah","doi":"10.1109/EITECH.2017.8255238","DOIUrl":"https://doi.org/10.1109/EITECH.2017.8255238","url":null,"abstract":"This paper presents a comparative study between two different controls strategies of unit power factor rectifier: hysteresis current control and voltage oriented control (VOC), in order to obtain high performance DC bus voltage, lower input current harmonics and higher power factor. The studied control strategies presented in this paper are developed in MATLAB/Simulink environment and implemented in software of the DS1104 board. The simulation and experimental results demonstrate well the performance of the PWM rectifier control techniques.","PeriodicalId":447139,"journal":{"name":"2017 International Conference on Electrical and Information Technologies (ICEIT)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114701246","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}
Pub Date : 2017-11-01DOI: 10.1109/EITECH.2017.8255292
E. Yassine, Belaguid Abdelaziz, Bellarbi Larbi
The main objective of this study was to characterize the relationship between electromyography and force based on the results obtained from a developed analysis using Adaptive Neuro Fuzzy Inference System (ANFIS) method. The developed method (ANFIS) presents interesting features for the study of this relationship. Among them, it can be highlighted the possibility of simultaneous analysis of various features, and the generation of graphics that allow the visualization of the relation between the EMG signals and the force. The method also allows the evaluation based on different models (linear, quadratic and exponential) allowing a better understanding of the EMG-force relationship. In order to evaluate the developed method (ANFIS) and study the EMG-force correlation. Electromyographic signals (EMG) were detected on the frontarm from 9 subjects while executing 3 levels of force subjective caused by the grip hand. The results showed that statistical features related to the amplitude of the signal are more appropriate to represent the relationship between EMG and force during the execution of force. These results, besides having several practical applications, can be used as part of EMG signals simulators, developed for different applications, such as the evaluation of automatic systems used in the decomposition of EMG signals.
{"title":"Implementation of adaptive neuro fuzzy inference system for study of EMG-force relationship","authors":"E. Yassine, Belaguid Abdelaziz, Bellarbi Larbi","doi":"10.1109/EITECH.2017.8255292","DOIUrl":"https://doi.org/10.1109/EITECH.2017.8255292","url":null,"abstract":"The main objective of this study was to characterize the relationship between electromyography and force based on the results obtained from a developed analysis using Adaptive Neuro Fuzzy Inference System (ANFIS) method. The developed method (ANFIS) presents interesting features for the study of this relationship. Among them, it can be highlighted the possibility of simultaneous analysis of various features, and the generation of graphics that allow the visualization of the relation between the EMG signals and the force. The method also allows the evaluation based on different models (linear, quadratic and exponential) allowing a better understanding of the EMG-force relationship. In order to evaluate the developed method (ANFIS) and study the EMG-force correlation. Electromyographic signals (EMG) were detected on the frontarm from 9 subjects while executing 3 levels of force subjective caused by the grip hand. The results showed that statistical features related to the amplitude of the signal are more appropriate to represent the relationship between EMG and force during the execution of force. These results, besides having several practical applications, can be used as part of EMG signals simulators, developed for different applications, such as the evaluation of automatic systems used in the decomposition of EMG signals.","PeriodicalId":447139,"journal":{"name":"2017 International Conference on Electrical and Information Technologies (ICEIT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115881448","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}
Pub Date : 2017-11-01DOI: 10.1109/EITECH.2017.8255311
S. Aboulem, I. Boumhidi, F. Lamzouri, El-mahjoub Boufounas, A. Amrani
This paper presents an optimal tracking and robust controller for a variable-speed wind turbine (VSWT). The main objective of the controller is to optimize the energy captured from the wind at below rated power, and minimize the mechanical stress in the system. In order to guarantee the wind power capture optimization without any chattering behaviour, this study proposes to combine the H∞ control with particle swarm optimization (PSO) algorithm. The PSO technique with efficient global search is used to optimize the H∞ controller parameters simultaneously to control the system trajectories, which determines the system performance. The stability of the system using this controller is analyzed by Lyapunov theory. In present work, the simulation results of the proposed method (PSO-H∞) are compared with the conventional sliding mode control (SMC). The comparison results reveal that the proposed controller is more effective in reducing the tracking error and chattering.
{"title":"Optimized H∞ Control for wind energy conversion system based on evolutionary algorithm","authors":"S. Aboulem, I. Boumhidi, F. Lamzouri, El-mahjoub Boufounas, A. Amrani","doi":"10.1109/EITECH.2017.8255311","DOIUrl":"https://doi.org/10.1109/EITECH.2017.8255311","url":null,"abstract":"This paper presents an optimal tracking and robust controller for a variable-speed wind turbine (VSWT). The main objective of the controller is to optimize the energy captured from the wind at below rated power, and minimize the mechanical stress in the system. In order to guarantee the wind power capture optimization without any chattering behaviour, this study proposes to combine the H∞ control with particle swarm optimization (PSO) algorithm. The PSO technique with efficient global search is used to optimize the H∞ controller parameters simultaneously to control the system trajectories, which determines the system performance. The stability of the system using this controller is analyzed by Lyapunov theory. In present work, the simulation results of the proposed method (PSO-H∞) are compared with the conventional sliding mode control (SMC). The comparison results reveal that the proposed controller is more effective in reducing the tracking error and chattering.","PeriodicalId":447139,"journal":{"name":"2017 International Conference on Electrical and Information Technologies (ICEIT)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123122919","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}
Pub Date : 2017-11-01DOI: 10.1109/EITECH.2017.8255241
Kaoutar Rabyi, H. Mahmoudi
This paper presents a doubly fed induction generation (DFIG) model, the control and simulation of grid connected DFIG for wind energy conversion system. Two control strategies are proposed; the direct control approach based on PI controller and another recent control strategy which is the Artificial Neural Network based on two layers. The active and reactive powers are both controlled in the rotor side converter and the grid side converter. The simulation of the system shows performed results with the proposed control strategies.
{"title":"Power control improvement of doubly fed induction generator based on wind energy conversion system","authors":"Kaoutar Rabyi, H. Mahmoudi","doi":"10.1109/EITECH.2017.8255241","DOIUrl":"https://doi.org/10.1109/EITECH.2017.8255241","url":null,"abstract":"This paper presents a doubly fed induction generation (DFIG) model, the control and simulation of grid connected DFIG for wind energy conversion system. Two control strategies are proposed; the direct control approach based on PI controller and another recent control strategy which is the Artificial Neural Network based on two layers. The active and reactive powers are both controlled in the rotor side converter and the grid side converter. The simulation of the system shows performed results with the proposed control strategies.","PeriodicalId":447139,"journal":{"name":"2017 International Conference on Electrical and Information Technologies (ICEIT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123680149","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}
Pub Date : 2017-11-01DOI: 10.1109/EITECH.2017.8255220
Noura Mouhssine, M. Kabbaj, M. Benbrahim, C. Bekkali
In this study a fault detection and isolation scheme (FDI) is proposed, to detect sensor faults in the dynamic be-haveriors of the model of the quadrotor vehicle, using nonlinear analytical redundancy (NLAR) relations also called nonlinear parity space relations. This technique is an particularly useful and interesting because it gives us to explicitly derive the maximum possible number of independent tests from the nonlinear state space representation of the system. Finally, the results prove the effectiveness of the proposed scheme.
{"title":"Sensor fault detection of quadrotor using nonlinear parity space relations","authors":"Noura Mouhssine, M. Kabbaj, M. Benbrahim, C. Bekkali","doi":"10.1109/EITECH.2017.8255220","DOIUrl":"https://doi.org/10.1109/EITECH.2017.8255220","url":null,"abstract":"In this study a fault detection and isolation scheme (FDI) is proposed, to detect sensor faults in the dynamic be-haveriors of the model of the quadrotor vehicle, using nonlinear analytical redundancy (NLAR) relations also called nonlinear parity space relations. This technique is an particularly useful and interesting because it gives us to explicitly derive the maximum possible number of independent tests from the nonlinear state space representation of the system. Finally, the results prove the effectiveness of the proposed scheme.","PeriodicalId":447139,"journal":{"name":"2017 International Conference on Electrical and Information Technologies (ICEIT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122097909","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}
Pub Date : 2017-11-01DOI: 10.1109/EITECH.2017.8255228
M. Riad, J. Bakkoury, O. Bouattane
An electrical model of the human middle ear periphery is described in this work. It is used to observe more closely the potential effect of the most common pathologies affecting the middle ear on tinnitus generation. Each pathology is related to a change in the physical characteristics of the middle ear. The studied analog network is modified to take this change into consideration. Thus, the corresponding numerical values of its elements are borrowed from anatomical data, the nonlinearity due to the contraction of stapedius muscle and the stapes clipping displacement have also been taken into consideration. The simulated pathologies demonstrate, through the obtained frequency responses, the effect sound transmission. The proposed analysis allowed us to distinguish the potential alterations in the middle ear that can eventually causes tinnitus. This method is based on the frequency response analysis tools to discover and identify easily the middle ear behavior and subsequently an eventual tinnitus cause.
{"title":"Middle ear frequency response analysis for tinnitus identification","authors":"M. Riad, J. Bakkoury, O. Bouattane","doi":"10.1109/EITECH.2017.8255228","DOIUrl":"https://doi.org/10.1109/EITECH.2017.8255228","url":null,"abstract":"An electrical model of the human middle ear periphery is described in this work. It is used to observe more closely the potential effect of the most common pathologies affecting the middle ear on tinnitus generation. Each pathology is related to a change in the physical characteristics of the middle ear. The studied analog network is modified to take this change into consideration. Thus, the corresponding numerical values of its elements are borrowed from anatomical data, the nonlinearity due to the contraction of stapedius muscle and the stapes clipping displacement have also been taken into consideration. The simulated pathologies demonstrate, through the obtained frequency responses, the effect sound transmission. The proposed analysis allowed us to distinguish the potential alterations in the middle ear that can eventually causes tinnitus. This method is based on the frequency response analysis tools to discover and identify easily the middle ear behavior and subsequently an eventual tinnitus cause.","PeriodicalId":447139,"journal":{"name":"2017 International Conference on Electrical and Information Technologies (ICEIT)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122616817","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}
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