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}
Pub Date : 2017-11-01DOI: 10.1109/EITECH.2017.8255295
S. Amar, A. Abouabdellah, Y. E. Ouazzani
In this paper a single workspace location problem in a polygonal area V is considered. Our objective is to locate a workspace facility so as to minimize the total distance between the facility, the customers and the suppliers. Our approach is based on the consideration of the distance and the importance factor of each customer and supplier. We used the A-distance measurement and the aggregation method theories to represent the real travelled distance in the mathematical modeling. The aim of the study is to determine the workspace location coordinates in the V area.
{"title":"A distance reduction approach for simple plant location problem","authors":"S. Amar, A. Abouabdellah, Y. E. Ouazzani","doi":"10.1109/EITECH.2017.8255295","DOIUrl":"https://doi.org/10.1109/EITECH.2017.8255295","url":null,"abstract":"In this paper a single workspace location problem in a polygonal area V is considered. Our objective is to locate a workspace facility so as to minimize the total distance between the facility, the customers and the suppliers. Our approach is based on the consideration of the distance and the importance factor of each customer and supplier. We used the A-distance measurement and the aggregation method theories to represent the real travelled distance in the mathematical modeling. The aim of the study is to determine the workspace location coordinates in the V area.","PeriodicalId":447139,"journal":{"name":"2017 International Conference on Electrical and Information Technologies (ICEIT)","volume":"13 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":"129676781","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.2017.8255258
M. Ayoub, Bennis Najib
The objective of greenhouse climate control is to improve the culture development and to minimize the production costs. In this paper, we propose a comparison between two approaches to modelling and control greenhouse's inside climate. This one is defined by internal temperature and hygrometry. The classical approach is based on a single linear model to describe the dynamic of greenhouse internal climate and using a strategy control to regulate the microclimate inside the greenhouse. The multi-modelling approach aims to reduce the complexity of the system in terms of variables to take into account in modelling and controllers design. Therefore, we have developed two linear models for representing the greenhouse inside climate in two different durations. Those diurnal and nocturnal phases. For the control of greenhouse inside climate based on finite-horizon optimal control, we present two methods. The first one is a classical method and consists of controlling the internal climate by using a single controller for all days. The other one is based on two models and two controllers for nocturnal and diurnal phases. For the needs of simulation purpose, we have used a nonlinear model to describe more effectively the behavior of greenhouse dynamic climate. A successful feasibility study of the proposed controller is presented and simulation results show good performances despite the high interaction between the process internal and external variables. The comparison results confirm the superiority of a multi-modelling approach.
{"title":"A multi-modelling approach and optimal control of greenhouse climate","authors":"M. Ayoub, Bennis Najib","doi":"10.1109/EITECH.2017.8255258","DOIUrl":"https://doi.org/10.1109/EITECH.2017.8255258","url":null,"abstract":"The objective of greenhouse climate control is to improve the culture development and to minimize the production costs. In this paper, we propose a comparison between two approaches to modelling and control greenhouse's inside climate. This one is defined by internal temperature and hygrometry. The classical approach is based on a single linear model to describe the dynamic of greenhouse internal climate and using a strategy control to regulate the microclimate inside the greenhouse. The multi-modelling approach aims to reduce the complexity of the system in terms of variables to take into account in modelling and controllers design. Therefore, we have developed two linear models for representing the greenhouse inside climate in two different durations. Those diurnal and nocturnal phases. For the control of greenhouse inside climate based on finite-horizon optimal control, we present two methods. The first one is a classical method and consists of controlling the internal climate by using a single controller for all days. The other one is based on two models and two controllers for nocturnal and diurnal phases. For the needs of simulation purpose, we have used a nonlinear model to describe more effectively the behavior of greenhouse dynamic climate. A successful feasibility study of the proposed controller is presented and simulation results show good performances despite the high interaction between the process internal and external variables. The comparison results confirm the superiority of a multi-modelling approach.","PeriodicalId":447139,"journal":{"name":"2017 International Conference on Electrical and Information Technologies (ICEIT)","volume":"02 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":"130236585","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.2017.8255240
H. H. Mouane, R. Allaoui, S. Mars, I. El Hajjouji, Z. Asrih, A. El mourabit, A. Ezzine
We present an FPGA-based system for road signs detection. Using monocular vision, our system consists of two main steps: color segmentation and shapes detection using Hough transform. High level synthesis tool system generator from Xilinx was used to implement the architecture. Co-simulation results show the functionality of the system.
{"title":"FPGA-based system for the road signs detection","authors":"H. H. Mouane, R. Allaoui, S. Mars, I. El Hajjouji, Z. Asrih, A. El mourabit, A. Ezzine","doi":"10.1109/EITECH.2017.8255240","DOIUrl":"https://doi.org/10.1109/EITECH.2017.8255240","url":null,"abstract":"We present an FPGA-based system for road signs detection. Using monocular vision, our system consists of two main steps: color segmentation and shapes detection using Hough transform. High level synthesis tool system generator from Xilinx was used to implement the architecture. Co-simulation results show the functionality of the system.","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":"130529720","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.2017.8255265
Tarik Jahid, H. Karmouni, A. Hmimid, M. Sayyouri, H. Qjidaa
The purpose of this paper is to compare two methods of computation of image moments and its inverse, the first is the common recursive method based on Krawtchouk polynomials with respect to x, the second is based on Krawtchouk basis and Clenshaw's formula. This paper in a first time will define these methods and in the second time will evaluate these methods and compare it to each other. We finally prove the accuracy of the proposed method in term of time consumed.
{"title":"Image moments and reconstruction by Krawtchouk via Clenshaw's reccurence formula","authors":"Tarik Jahid, H. Karmouni, A. Hmimid, M. Sayyouri, H. Qjidaa","doi":"10.1109/EITECH.2017.8255265","DOIUrl":"https://doi.org/10.1109/EITECH.2017.8255265","url":null,"abstract":"The purpose of this paper is to compare two methods of computation of image moments and its inverse, the first is the common recursive method based on Krawtchouk polynomials with respect to x, the second is based on Krawtchouk basis and Clenshaw's formula. This paper in a first time will define these methods and in the second time will evaluate these methods and compare it to each other. We finally prove the accuracy of the proposed method in term of time consumed.","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":"125913990","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.2017.8255304
A. Loukdache, Mohamed Amine El Majdouli, Saad Bougrine, A. Imrani
This paper describes an adaptation of the Clonal Selection Algorithm for the single objective Big Optimization problem “Big-Opt”. Indeed, the electroencephalography “EEG” signals are very sensitive to noising effects of artifacts caused by undesirable internal and external electric sources. the main purpose of the Big-OPT problem is to rebuild the recorded signals in the goal of removing the artifacts as maximum as possible. To this end, an optimization problem is defined. To solve it, a modified search strategy is studied and adapted for the Clonal Selection Algorithm in order to enhance its convergence abilities on large scale optimization. To test the performance of the proposed method, experiments have been conducted over the Big-OPT EEG datasets. A comparison with recent state of the art approaches is also included. The study exhibits the competitive performance of the proposed Clonal Selection Algorithm.
{"title":"A clonal selection algorithm for the electro encephalography signals reconstruction","authors":"A. Loukdache, Mohamed Amine El Majdouli, Saad Bougrine, A. Imrani","doi":"10.1109/EITECH.2017.8255304","DOIUrl":"https://doi.org/10.1109/EITECH.2017.8255304","url":null,"abstract":"This paper describes an adaptation of the Clonal Selection Algorithm for the single objective Big Optimization problem “Big-Opt”. Indeed, the electroencephalography “EEG” signals are very sensitive to noising effects of artifacts caused by undesirable internal and external electric sources. the main purpose of the Big-OPT problem is to rebuild the recorded signals in the goal of removing the artifacts as maximum as possible. To this end, an optimization problem is defined. To solve it, a modified search strategy is studied and adapted for the Clonal Selection Algorithm in order to enhance its convergence abilities on large scale optimization. To test the performance of the proposed method, experiments have been conducted over the Big-OPT EEG datasets. A comparison with recent state of the art approaches is also included. The study exhibits the competitive performance of the proposed Clonal Selection Algorithm.","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":"122857555","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.2017.8255256
Khaled Zebiri, F. Soltani, A. Mezache, A. Bentoumi
Performance analysis of distributed GM-CFAR (Geometric Mean-CFAR) and OS-CFAR (Order Statistic-CFAR) detectors in a Pareto clutter is presented in this work. Because of the nonlinear property of this multidimensional system, the biogeography based optimization (BBO) algorithm is used to obtain optimal thresholds of local detectors. Each CFAR detector takes its own decision and sends it to the fusion center to obtain a final binary decision according to a preselected fusion rule. Optimization requirements of the distributed system are improved using a new expression in integral form of the detection probability. Via computer simulations, the detection performances are investigated in terms of clutter and system parameters for both homogeneous and heterogeneous Pareto backgrounds.
{"title":"Biogeography based optimization for distributed CFAR detection in Pareto clutter","authors":"Khaled Zebiri, F. Soltani, A. Mezache, A. Bentoumi","doi":"10.1109/EITECH.2017.8255256","DOIUrl":"https://doi.org/10.1109/EITECH.2017.8255256","url":null,"abstract":"Performance analysis of distributed GM-CFAR (Geometric Mean-CFAR) and OS-CFAR (Order Statistic-CFAR) detectors in a Pareto clutter is presented in this work. Because of the nonlinear property of this multidimensional system, the biogeography based optimization (BBO) algorithm is used to obtain optimal thresholds of local detectors. Each CFAR detector takes its own decision and sends it to the fusion center to obtain a final binary decision according to a preselected fusion rule. Optimization requirements of the distributed system are improved using a new expression in integral form of the detection probability. Via computer simulations, the detection performances are investigated in terms of clutter and system parameters for both homogeneous and heterogeneous Pareto backgrounds.","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":"129333285","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.2017.8255230
F. Sloukia, A. Bybi, Hilal Drissi
Ball bearings are critical components in rotating machines and the prognosis of their health state is an important policy that increases reliability, availability and safety while minimizing costs. Wavelet Packet Decomposition (WPD) is a widely used method for the analysis of vibratory signals since it allows decomposing them in time and frequency domains. The choice of the analyzing wavelet and its order is an important step that affects the estimation of the Remaining Useful Life (RUL). In this paper, we compared several types of wavelets in order to choose the most suitable for predicting the RUL of the bearings. The utilized selection criteria were the Minimum Shannon Entropy Criteria (MSEC) and Maximum Energy to Shannon Entropy Ratio criteria (MEER). The tests were carried out on several bearings under different conditions where horizontal and vertical accelerations are measured.
{"title":"Selection of mother wavelets for analyzing bearing vibration signals","authors":"F. Sloukia, A. Bybi, Hilal Drissi","doi":"10.1109/EITECH.2017.8255230","DOIUrl":"https://doi.org/10.1109/EITECH.2017.8255230","url":null,"abstract":"Ball bearings are critical components in rotating machines and the prognosis of their health state is an important policy that increases reliability, availability and safety while minimizing costs. Wavelet Packet Decomposition (WPD) is a widely used method for the analysis of vibratory signals since it allows decomposing them in time and frequency domains. The choice of the analyzing wavelet and its order is an important step that affects the estimation of the Remaining Useful Life (RUL). In this paper, we compared several types of wavelets in order to choose the most suitable for predicting the RUL of the bearings. The utilized selection criteria were the Minimum Shannon Entropy Criteria (MSEC) and Maximum Energy to Shannon Entropy Ratio criteria (MEER). The tests were carried out on several bearings under different conditions where horizontal and vertical accelerations are measured.","PeriodicalId":447139,"journal":{"name":"2017 International Conference on Electrical and Information Technologies (ICEIT)","volume":"5 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":"115892426","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.2017.8255314
A. Hassoune, M. Khafallah, A. Mesbahi, T. Bouragba
This work focuses on a smart algorithm to optimize energy of electric vehicles charging station while considering numerous constraints as the instability of renewable energy sources and the potential limited power given by the grid. The PV array is considered as a basic source of energy to feed the charging station system, directly tied into a voltage DC bus, thus the lithium-ion battery is implemented in this platform to complete the power flow of each potential charging scenario. Moreover, the management algorithm is taking into account the fluctuant power state of both the DC and the AC bus link, and it treats also the state of charge of the batteries in the energy management approach.
{"title":"Smart topology of EVs in a PV-grid system based charging station","authors":"A. Hassoune, M. Khafallah, A. Mesbahi, T. Bouragba","doi":"10.1109/EITECH.2017.8255314","DOIUrl":"https://doi.org/10.1109/EITECH.2017.8255314","url":null,"abstract":"This work focuses on a smart algorithm to optimize energy of electric vehicles charging station while considering numerous constraints as the instability of renewable energy sources and the potential limited power given by the grid. The PV array is considered as a basic source of energy to feed the charging station system, directly tied into a voltage DC bus, thus the lithium-ion battery is implemented in this platform to complete the power flow of each potential charging scenario. Moreover, the management algorithm is taking into account the fluctuant power state of both the DC and the AC bus link, and it treats also the state of charge of the batteries in the energy management approach.","PeriodicalId":447139,"journal":{"name":"2017 International Conference on Electrical and Information Technologies (ICEIT)","volume":"94 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":"127287045","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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