Mustapha SAIDALLAH - Academia.edu (original) (raw)
Mustapha Saidallah received his master degree in networks and embedded systems from Faculty of Science, Moulay Ismail University, Meknes, Morocco, in 2013. He is currently working toward the PhD degree at the department of Mathematics and Computer Science, Faculty of Sciences, Moulay Ismail University, Meknes, Morocco. He is currently teacher of Computer Science at the Professional Training Office. His present field of interest is traffic simulation, traffic signal control and wireless sensor networks.
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Papers by Mustapha SAIDALLAH
Third IEEE International Conference on Image Processing, Applications and Systems (IPAS 2018), 2018
Object detection and classification is one of the core functions of Intelligence Transport System... more Object detection and classification is one of the core functions of Intelligence Transport Systems (ITS). It is typically based on extracted features and learning algorithms. Different approaches seem to be appropriate. Researchers should compare and evaluate existing approaches to apply the most efficient. In this paper, we propose a moving vehicle-detection vision system. Two solutions are examined in terms of performance and energy-efficient. The first is a classical Adaboost approach based on the Haar-like in feature extraction whereas the second handles a Local Binary Pattern descriptor that will undergo extraction with Adaboost classifier. Comparison results are illustrated based on the GTI vehicle image dataset. The most pertinent is the Haar-like +Adaboost, leading a DR of 90.1% instead of 87.9% for the LBP+Adaboost. However, LBP+Adaboost shows a low energy consumption, which is very important in any embedded systems.
http://www.ijarcs.org/Publications/Vol7Issue3\_Paper6.pdf, 2017
— In this paper, we made a survey of 22 open-source simulators of Wireless Sensor Networks (WSN),... more — In this paper, we made a survey of 22 open-source simulators of Wireless Sensor Networks (WSN), because the selection of a WSN simulator to simulate a scenario or to implement a protocol requires knowledge of the characteristics of available simulators. With this objective in mind, we studied and compared them to make them an available and a better tool for researchers so as to suit their requirements. Firstly we identified the characteristics of each simulator, then we compared the 22 open-source simulators of WSN on the most relevant criteria in this area that are modeling the energy consumption, the modeling mobility, scalability and extensibility of the simulator.
Road traffic management has become a worldwide concern. Several traffic simulators have been deve... more Road traffic management has become a worldwide concern. Several traffic simulators have been developed in order to contribute to solving traffic congestion problems. Comparative studies of simulators in this field of activity are concerned with the comparison of the simulation results with the results of the real situation; others are interested in the ability of certain platforms to simulate public transport systems. Our study aims purports to cover carryout of existing simulators in the sense that, on the one hand, poised in eleven major reviews of simulation platforms (commercial and open-source) the most used, given that the existing comparative studies do not cover all simulators we compared. On the other hand, our comparative study takes into consideration new criteria such as use wireless sensors and the ability of simulators to support GIS (Geographic Information System).
Third IEEE International Conference on Image Processing, Applications and Systems (IPAS 2018), 2018
Object detection and classification is one of the core functions of Intelligence Transport System... more Object detection and classification is one of the core functions of Intelligence Transport Systems (ITS). It is typically based on extracted features and learning algorithms. Different approaches seem to be appropriate. Researchers should compare and evaluate existing approaches to apply the most efficient. In this paper, we propose a moving vehicle-detection vision system. Two solutions are examined in terms of performance and energy-efficient. The first is a classical Adaboost approach based on the Haar-like in feature extraction whereas the second handles a Local Binary Pattern descriptor that will undergo extraction with Adaboost classifier. Comparison results are illustrated based on the GTI vehicle image dataset. The most pertinent is the Haar-like +Adaboost, leading a DR of 90.1% instead of 87.9% for the LBP+Adaboost. However, LBP+Adaboost shows a low energy consumption, which is very important in any embedded systems.
http://www.ijarcs.org/Publications/Vol7Issue3\_Paper6.pdf, 2017
— In this paper, we made a survey of 22 open-source simulators of Wireless Sensor Networks (WSN),... more — In this paper, we made a survey of 22 open-source simulators of Wireless Sensor Networks (WSN), because the selection of a WSN simulator to simulate a scenario or to implement a protocol requires knowledge of the characteristics of available simulators. With this objective in mind, we studied and compared them to make them an available and a better tool for researchers so as to suit their requirements. Firstly we identified the characteristics of each simulator, then we compared the 22 open-source simulators of WSN on the most relevant criteria in this area that are modeling the energy consumption, the modeling mobility, scalability and extensibility of the simulator.
Road traffic management has become a worldwide concern. Several traffic simulators have been deve... more Road traffic management has become a worldwide concern. Several traffic simulators have been developed in order to contribute to solving traffic congestion problems. Comparative studies of simulators in this field of activity are concerned with the comparison of the simulation results with the results of the real situation; others are interested in the ability of certain platforms to simulate public transport systems. Our study aims purports to cover carryout of existing simulators in the sense that, on the one hand, poised in eleven major reviews of simulation platforms (commercial and open-source) the most used, given that the existing comparative studies do not cover all simulators we compared. On the other hand, our comparative study takes into consideration new criteria such as use wireless sensors and the ability of simulators to support GIS (Geographic Information System).