Pub Date : 2019-07-01DOI: 10.1109/ICCSRE.2019.8807604
R. Latif, A. Saddik, A. Elouardi
The monitoring of agricultural soils has become a necessary need for good soil quality. For this reason several parameters have been studied to solve problems in agriculture. On the other hand we find several tools for this monitoring, generally the most known are based on UAVs. In this article we will focus on evaluating the two most known parameters the Normalized Difference Vegetation Index (NDVI) and the Normalized Difference Water Index (NDWI). The evaluation of these parameters was done in a heterogeneous embedded ODROID-XU4 architecture based on two CPUs and a GPU.
{"title":"Evaluation of Agricultural Precision Algorithms on UAV Images","authors":"R. Latif, A. Saddik, A. Elouardi","doi":"10.1109/ICCSRE.2019.8807604","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807604","url":null,"abstract":"The monitoring of agricultural soils has become a necessary need for good soil quality. For this reason several parameters have been studied to solve problems in agriculture. On the other hand we find several tools for this monitoring, generally the most known are based on UAVs. In this article we will focus on evaluating the two most known parameters the Normalized Difference Vegetation Index (NDVI) and the Normalized Difference Water Index (NDWI). The evaluation of these parameters was done in a heterogeneous embedded ODROID-XU4 architecture based on two CPUs and a GPU.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114752047","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 : 2019-07-01DOI: 10.1109/ICCSRE.2019.8807633
Kaoutar Ouarid, A. El Assoudi, J. Soulami, E. H. El Yaagoubi
A new observer design in explicit structure for a class of implicit linear models (ILMs) in presence of actuator and sensor faults is given in this paper. First, the study is based on the second equivalent form of an implicit model [1] where the differential equations are completely separated of the algebraic equations. Next, the observer is designed to estimate simultaneously the unknown states, the actuator faults and the sensor faults. The condition of exponential stability is given in term of linear matrix inequality (LMI) by using the Lyapunov theory. Finally, an application to an ILM of a heat exchanger process is presented to illustrate the performance of the proposed method.
{"title":"Observer Design for Simultaneous State and Fault Estimation for a Class of Implicit Linear Models","authors":"Kaoutar Ouarid, A. El Assoudi, J. Soulami, E. H. El Yaagoubi","doi":"10.1109/ICCSRE.2019.8807633","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807633","url":null,"abstract":"A new observer design in explicit structure for a class of implicit linear models (ILMs) in presence of actuator and sensor faults is given in this paper. First, the study is based on the second equivalent form of an implicit model [1] where the differential equations are completely separated of the algebraic equations. Next, the observer is designed to estimate simultaneously the unknown states, the actuator faults and the sensor faults. The condition of exponential stability is given in term of linear matrix inequality (LMI) by using the Lyapunov theory. Finally, an application to an ILM of a heat exchanger process is presented to illustrate the performance of the proposed method.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121905945","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 : 2019-07-01DOI: 10.1109/ICCSRE.2019.8807564
R. Mama, M. Machkour
Databases are becoming more and more unavoidable for all websites or applications that handle massive amounts of information, such as bank accounts, games, social networks, videos, and more. But the databases as for them remain still inaccessible for many people. Non-expert users cannot easily interact with them. This requires knowledge of a database language such as "Structured Query Language" (SQL). For this reason, several efforts have been made to develop database query systems. In this article, we focus on a brief study of fuzzy interrogation systems of database.
{"title":"A study on fuzzy interrogation systems of database","authors":"R. Mama, M. Machkour","doi":"10.1109/ICCSRE.2019.8807564","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807564","url":null,"abstract":"Databases are becoming more and more unavoidable for all websites or applications that handle massive amounts of information, such as bank accounts, games, social networks, videos, and more. But the databases as for them remain still inaccessible for many people. Non-expert users cannot easily interact with them. This requires knowledge of a database language such as \"Structured Query Language\" (SQL). For this reason, several efforts have been made to develop database query systems. In this article, we focus on a brief study of fuzzy interrogation systems of database.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122117902","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 : 2019-07-01DOI: 10.1109/ICCSRE.2019.8807741
Azeddine Elhassouny, F. Smarandache
Deep convolutional Neural networks(CNN) has recognized much advances in recent years. Many CNN models have been proposed in few years ago which focused by first on improving accuracy, next minimize number of parameters using squeeze architecture, then CNN model adapted for embedded and mobile systems. But face the huge applications of CNN in computer vision, few papers discuss what is the theory behind building CNN models combining some components. In this paper, we present a survey of recent advances in CNN architecture design taking into account the three periods listed above.
{"title":"Trends in deep convolutional neural Networks architectures: a review","authors":"Azeddine Elhassouny, F. Smarandache","doi":"10.1109/ICCSRE.2019.8807741","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807741","url":null,"abstract":"Deep convolutional Neural networks(CNN) has recognized much advances in recent years. Many CNN models have been proposed in few years ago which focused by first on improving accuracy, next minimize number of parameters using squeeze architecture, then CNN model adapted for embedded and mobile systems. But face the huge applications of CNN in computer vision, few papers discuss what is the theory behind building CNN models combining some components. In this paper, we present a survey of recent advances in CNN architecture design taking into account the three periods listed above.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115426082","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 : 2019-07-01DOI: 10.1109/ICCSRE.2019.8807613
Billel Amiri, A. Gómez-Orellana, Pedro Antonio Gutiérrez, R. Dizène, C. Hervás‐Martínez, Dahmani Kahina
This work applies evolutionary product unit neural networks (EPUNNs) to estimate global inclined irradiation at real time and predict it 10 minutes in advance. Both tasks are accomplished simultaneously, by using one single model with two outputs. One advantage of our approach is that the predictions of inclined irradiation are obtained without the need of a series of historical data. In this way, the model only considers one measured input variable, which is the horizontal global irradiation at the previous instant. Besides, the evolutionary algorithm used to optimize the network allows us to obtain the best adapted topology of the model with respect to the number of hidden neurons and synaptic connections. Very promising results are obtained, where the inclined irradiation Iβ(t) is estimated with an accuracy of 5.10% of nRMSE, while it is predicted 10 minutes in advance with an accuracy of 16.97%.
{"title":"Ten Minutes Solar Irradiation Forecasting on Inclined Plane using Evolutionary Product Unit Neural Networks","authors":"Billel Amiri, A. Gómez-Orellana, Pedro Antonio Gutiérrez, R. Dizène, C. Hervás‐Martínez, Dahmani Kahina","doi":"10.1109/ICCSRE.2019.8807613","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807613","url":null,"abstract":"This work applies evolutionary product unit neural networks (EPUNNs) to estimate global inclined irradiation at real time and predict it 10 minutes in advance. Both tasks are accomplished simultaneously, by using one single model with two outputs. One advantage of our approach is that the predictions of inclined irradiation are obtained without the need of a series of historical data. In this way, the model only considers one measured input variable, which is the horizontal global irradiation at the previous instant. Besides, the evolutionary algorithm used to optimize the network allows us to obtain the best adapted topology of the model with respect to the number of hidden neurons and synaptic connections. Very promising results are obtained, where the inclined irradiation Iβ(t) is estimated with an accuracy of 5.10% of nRMSE, while it is predicted 10 minutes in advance with an accuracy of 16.97%.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115502404","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 : 2019-07-01DOI: 10.1109/ICCSRE.2019.8807608
Soufiane El Bouji, Z. Beidouri, N. Kamil
As the energy demand Increases, fossil fuels are giving way to other unconventional energy sources. Marine renewable energy, being one of them, offers a number of options to compete in this area. A wide-range of techniques were presented, studied and tested under real sea conditions. Amongst these marine converters, the Oscillating Water Column (OWC) stands out due to its simplicity, and robustness in turbulent sea conditions. In principle, the device leverages the succession of wave crests and troughs to either compress or suck air through a turbine that plays the role of a Power Take-Off device.The OWC's hydrodynamic performance depends upon the chamber's depth, the size of the water inlet and the position of the converter in relation to the free water surface.The objective of our study is to find the optimum output of a converter by methodically changing the geometry parameters and position in relation to the free water surface.For this purpose, we made an OWC That consists of a prototype parallelepiped air chamber, and came up with the following optimal configuration:Distance between the wave-making machine and the device; Water depth in the water column;Prototype's depth;Water inlet size.On the one hand, the obtained results show that the pairing of the geometrical parameters of the device and the condition of the system leads to an improvement in the hydrodynamic performance of the OWC. On the other hand, the various optima found make it possible to converge towards a frequency range close to the device’s natural frequency, which gives a considerable increase in the energy output.
{"title":"Design and Optimization of an Oscillating Water Column Wave Energy Converter","authors":"Soufiane El Bouji, Z. Beidouri, N. Kamil","doi":"10.1109/ICCSRE.2019.8807608","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807608","url":null,"abstract":"As the energy demand Increases, fossil fuels are giving way to other unconventional energy sources. Marine renewable energy, being one of them, offers a number of options to compete in this area. A wide-range of techniques were presented, studied and tested under real sea conditions. Amongst these marine converters, the Oscillating Water Column (OWC) stands out due to its simplicity, and robustness in turbulent sea conditions. In principle, the device leverages the succession of wave crests and troughs to either compress or suck air through a turbine that plays the role of a Power Take-Off device.The OWC's hydrodynamic performance depends upon the chamber's depth, the size of the water inlet and the position of the converter in relation to the free water surface.The objective of our study is to find the optimum output of a converter by methodically changing the geometry parameters and position in relation to the free water surface.For this purpose, we made an OWC That consists of a prototype parallelepiped air chamber, and came up with the following optimal configuration:Distance between the wave-making machine and the device; Water depth in the water column;Prototype's depth;Water inlet size.On the one hand, the obtained results show that the pairing of the geometrical parameters of the device and the condition of the system leads to an improvement in the hydrodynamic performance of the OWC. On the other hand, the various optima found make it possible to converge towards a frequency range close to the device’s natural frequency, which gives a considerable increase in the energy output.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"182 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124022911","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 : 2019-07-01DOI: 10.1109/ICCSRE.2019.8807550
Zineb Belhallaj, Abdellatif Semmouri
For the purpose of solving the systems of fuzzy equations, many interested researchers are proposed several iterative methods. The desired goal in this framework is to reduce the computational complexity either in memory space or in time. The natural idea is to improve the standard techniques, to give birth to others and to apply these theoretical results on the realistic plan.In this paper, we will extend the Richardson iterative method from crisp linear equations to fuzzy context. In addition, we explain the efficiency of suggested method by solving a numerical example as a fuzzy version of examples from classical circuit analysis.
{"title":"Solving Fuzzy Systems of Linear Equations by the First-Order Richardson Method","authors":"Zineb Belhallaj, Abdellatif Semmouri","doi":"10.1109/ICCSRE.2019.8807550","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807550","url":null,"abstract":"For the purpose of solving the systems of fuzzy equations, many interested researchers are proposed several iterative methods. The desired goal in this framework is to reduce the computational complexity either in memory space or in time. The natural idea is to improve the standard techniques, to give birth to others and to apply these theoretical results on the realistic plan.In this paper, we will extend the Richardson iterative method from crisp linear equations to fuzzy context. In addition, we explain the efficiency of suggested method by solving a numerical example as a fuzzy version of examples from classical circuit analysis.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127163903","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 : 2019-07-01DOI: 10.1109/ICCSRE.2019.8807730
Youssef Barradi, K. Zazi, M. Zazi, N. Khaldi
In this paper, we present the modeling and control of a wind energy conversion system using the Permanent Magnet Synchronous Generator (PMSG). Two schemes of control are used: Conventional proportional integral (PI) and a recent control strategy called Active Disturbance Rejection Control (ADRC). We have used a dynamic simulation with a random profile of wind speed in order to get closer to reality. The purpose of the PMSG control is to regulate the electromagnetic torque and the stator current of the PMSG in order to insure the extraction of the maximum power of the wind thanks to the Maximum Power Point Tracking (MPPT) method and to maintain the direct current at zero in order to ensure unity power factor. The ADRC and PI controllers are compared and investigated in terms of references tracking and robustness. Analysis and simulation of our system is realized with MATLAB/Simulink software.
{"title":"A Novel Robust ADRCControl Strategy of a PMSG Based Wind Energy Conversion System","authors":"Youssef Barradi, K. Zazi, M. Zazi, N. Khaldi","doi":"10.1109/ICCSRE.2019.8807730","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807730","url":null,"abstract":"In this paper, we present the modeling and control of a wind energy conversion system using the Permanent Magnet Synchronous Generator (PMSG). Two schemes of control are used: Conventional proportional integral (PI) and a recent control strategy called Active Disturbance Rejection Control (ADRC). We have used a dynamic simulation with a random profile of wind speed in order to get closer to reality. The purpose of the PMSG control is to regulate the electromagnetic torque and the stator current of the PMSG in order to insure the extraction of the maximum power of the wind thanks to the Maximum Power Point Tracking (MPPT) method and to maintain the direct current at zero in order to ensure unity power factor. The ADRC and PI controllers are compared and investigated in terms of references tracking and robustness. Analysis and simulation of our system is realized with MATLAB/Simulink software.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125010768","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 : 2019-07-01DOI: 10.1109/ICCSRE.2019.8807761
Khalid Abouloula, Ali Ou-yassine, S. Krit, M. Elhoseny
in this article we will try to highlight some of the mistakes that doing by some traders in the market, especially those who use Fibonacci correction to make decision in trading. The Fibonacci sequence is ideal mathematically, but this method release noise when included in the trading graphics, so we will work in this paper to clarify some of these errors and eliminate noise in a Fibonacci sequence in order to avoid the wrong signals, and so we have contributed to help traders in the market through automated trading to avoid loss and make a bigger profit.
{"title":"Lower the loss ratio when using a Fibonacci Indicator Retracement to Restore Accuracy by Avoiding Wrong Forecasts using enhanced indicators","authors":"Khalid Abouloula, Ali Ou-yassine, S. Krit, M. Elhoseny","doi":"10.1109/ICCSRE.2019.8807761","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807761","url":null,"abstract":"in this article we will try to highlight some of the mistakes that doing by some traders in the market, especially those who use Fibonacci correction to make decision in trading. The Fibonacci sequence is ideal mathematically, but this method release noise when included in the trading graphics, so we will work in this paper to clarify some of these errors and eliminate noise in a Fibonacci sequence in order to avoid the wrong signals, and so we have contributed to help traders in the market through automated trading to avoid loss and make a bigger profit.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123470603","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 : 2019-07-01DOI: 10.1109/ICCSRE.2019.8807711
Rachid Adrdor, L. Koutti
Several problems in multi-agent coordination can be modeled using a Distributed Constraint Optimization Problem (DCOP) paradigm, which can be solved using one of the state-of-the-art algorithms that solve DCOPs. The AFB_BJ+-AC* algorithm is one of the newest of these algorithms. It uses soft arc consistency techniques (AC*) to rapidly reach the optimal solution of a DCOP by deleting non-optimal values from each agent domain. This paper enhances the AFB_BJ+-AC* algorithm to surpass its inefficiency in some problems, especially those where the number of deletions is too limited or remains zero, by increasing the ability of soft arc consistency techniques (AC*) to generate deletions. The idea is centered on increasing the value of the zero-arity constraint, used as a bound to delete values, by redistributing the constraint costs between an agent and its neighbors via extension operations, then via the execution of AC*. Our experiments on different benchmarks show that the new improvements make AFB_BJ+-AC* better in terms of communication load and computation effort.
{"title":"Enhancing AFB_BJ+-AC* algorithm","authors":"Rachid Adrdor, L. Koutti","doi":"10.1109/ICCSRE.2019.8807711","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807711","url":null,"abstract":"Several problems in multi-agent coordination can be modeled using a Distributed Constraint Optimization Problem (DCOP) paradigm, which can be solved using one of the state-of-the-art algorithms that solve DCOPs. The AFB_BJ+-AC* algorithm is one of the newest of these algorithms. It uses soft arc consistency techniques (AC*) to rapidly reach the optimal solution of a DCOP by deleting non-optimal values from each agent domain. This paper enhances the AFB_BJ+-AC* algorithm to surpass its inefficiency in some problems, especially those where the number of deletions is too limited or remains zero, by increasing the ability of soft arc consistency techniques (AC*) to generate deletions. The idea is centered on increasing the value of the zero-arity constraint, used as a bound to delete values, by redistributing the constraint costs between an agent and its neighbors via extension operations, then via the execution of AC*. Our experiments on different benchmarks show that the new improvements make AFB_BJ+-AC* better in terms of communication load and computation effort.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114572089","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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