Special Issue Submission Closed

Smart Applications and Data Analysis for Smart Cities

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01About This Special Issue

Progress in new information technologies and communication has pushed humans to imagine intelligent cities. These cities will allow quick and easy access to information, they will also facilitate household chores, save and master the consumption of energy. There would be more green spaces and less pollution. Lately most of the countries are making great efforts to build smart cities. The achievement of this goal requires the latest equipment and infrastructure. The installation of connected sensors, smart grids and computer applications will be necessary to analyze all the data collected. This analysis will help decision makers taking precautions to deal with the different problems that can appear as emerging diseases.

Aims and Scope:

1. Advanced Intelligent Systems
2. Big data and the internet of things
3. Artificial Intelligence
4. Bioinformatics and Computational Intelligence
5. Data Mining and Knowledge Discovery
6. Data Integration
7. Embedded systems
8. Biotechnology
9. Smart Grids
10. renewable energies
11. Robotics and Mechatronics
12. Systems Control
13. Internet and mobile computing

02Meet the Guest Editors

Our distinguished editors bring deep subject-matter expertise to curate high-quality research and ensure a rigorous peer-review process.

Lead Guest Editor

Mohamed Hamlich

Department of Electrical Engineering, University of Hassan II Casablanca, Casablanca, Morocco

Guest Editor

Sebastian Ventura

Department of Computing and Numerical Analysis, University of Cordoba, Cordoba, Spain

Guest Editor

Abdenasser Drighil

Department of Cardiology, University of Hassan II Casablanca, Casablanca, Morocco

Guest Editor

Mohammed Benkhalifa

Department of Computer Science, Faculty of Sciences, Mohammed V University, Rabat, Morocco

Guest Editor

Hakim Allali

Physics Department, Sciences and Technologies Faculty, Hassan First University, Settat, Morocco

Guest Editor

Mohamed Kissi

Department of Computer Science, Faculty of Science, Chouaib Doukkali University, Eljadida, Morocco

Guest Editor

Mohammed Nemiche

Department of Computer Science, Polydisciplinary Faculty of Ouarzazate, Ibn Zohr University, Agadir, Morocco

Guest Editor

Ahmed Mouchtachi

Department of Mechanical Engineering and Structures, Moulay Ismail University, Casablanca, Morocco

Guest Editor

Ismail Lagrat

Department of Electrical Engineering, Hassan First University, Khouribga, Morocco

Guest Editor

Abdelhafid Aitelmahjoub

Department of Electrical Engineering, Hassan Second University, Casablanca, Morocco

Guest Editor

Mourad Zegrari

Department of Electrical Engineering, Hassan Second University, Casablanca, Morocco

Guest Editor

Mohammed Ramdani

Department of Computer Science, Faculty of Science and Technology of Mohammedia, University of Hassan II Casablanca, Mohammedia, Morocco

03Published Articles

The following articles have been published in this special issue.

  • A New Edge Detection Using Decomposition Model

    Saloua Senhaji , Abdellah Aarab

    Issue: Volume 5, Issue 3-1, May 2016
    Pages: 28-31
    Received: 19 December 2015
    Accepted: 25 December 2015
    Published: 30 June 2016
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    Abstract: Edge detection is one of the most commonly used operations in image analysis, and there are more algorithms in the literature for enhancing and detecting edges. Natural images contain both textured and untextured regions, so the cues of contour and texture are exploited simultaneously. In this paper, we present a new edge detection method for natur... Show More
  • Applying the SAC Algorithm to Extract the Cardiologic Indicators of an Athlete's Level

    Mohamed Hamlich , Mohammed Ramdani

    Issue: Volume 5, Issue 3-1, May 2016
    Pages: 23-27
    Received: 19 December 2015
    Accepted: 21 December 2015
    Published: 18 June 2016
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    Abstract: The objective of this paper is to identify the parameters that determine the level (high or low) of an athlete. The developed method is based on the algorithms of ant colonies. In this paper We will focus on the application of an algorithm named: SAC “Scout Ant for Clustering”. This method is an extension of existing data clustering algorithms (ACO... Show More
  • Applying the Fuzzy Ant-Miner Algorithm to Extract the Success Indicators of Balloon Dilation in PA-IVS

    Mohamed Hamlich , Mohammed Ramdani

    Issue: Volume 5, Issue 3-1, May 2016
    Pages: 1-4
    Received: 10 October 2015
    Accepted: 12 October 2015
    Published: 18 June 2016
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    Abstract: Several studies have sought to identify the parameters that determine the outcome of balloon dilation in pulmonary atresia with ventricular septum. However, none of these studies was based on the ant colony algorithm. In this paper we focus on the implementation of an algorithm based on ant colonies: Fuzzy Ant-Miner. This method uses the concepts o... Show More
  • New Approach to Modeling the Direct Torque Control Applied to the Asynchronous Machine, Reduction of Undulations on the Torque

    Hamid Yantour , Janah Saadi , Ahmed Khoumsi

    Issue: Volume 5, Issue 3-1, May 2016
    Pages: 5-22
    Received: 4 December 2015
    Accepted: 5 January 2016
    Published: 18 June 2016
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    Abstract: In this paper, we study the Direct Torque Control (DTC) of an Induction Motor coupled to an Inverter (Inv-IM). DTC permits to control directly the stator flux and the torque by selecting the appropriate inverter state. DTC has been introduced because it presents several advantages in comparison to other techniques such as voltage/frequency control,... Show More