International Journal of Intelligent Information Systems

Special Issue

Smart Applications and Data Analysis for Smart Cities

  • Submission Deadline: Mar. 30, 2016
  • Status: Submission Closed
  • Lead Guest Editor: Mohamed Hamlich
About 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
Lead Guest Editor
  • Mohamed Hamlich

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

Guest Editors
  • Sebastian Ventura

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

  • Abdenasser Drighil

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

  • Mohammed Benkhalifa

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

  • Hakim Allali

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

  • Mohamed Kissi

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

  • Mohammed Nemiche

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

  • Ahmed Mouchtachi

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

  • Ismail Lagrat

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

  • Abdelhafid Aitelmahjoub

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

  • Mourad Zegrari

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

  • Mohammed Ramdani

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

Published Articles
  • A New Edge Detection Using Decomposition Model

    Saloua Senhaji , Abdellah Aarab

    Issue: Volume 5, Issue 3-1, May 2016
    Pages: 28-31
    Received: Dec. 19, 2015
    Accepted: Dec. 25, 2015
    Published: Jun. 30, 2016
    DOI: 10.11648/j.ijiis.s.2016050301.14
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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: Dec. 19, 2015
    Accepted: Dec. 21, 2015
    Published: Jun. 18, 2016
    DOI: 10.11648/j.ijiis.s.2016050301.13
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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: Oct. 10, 2015
    Accepted: Oct. 12, 2015
    Published: Jun. 18, 2016
    DOI: 10.11648/j.ijiis.s.2016050301.11
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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: Dec. 04, 2015
    Accepted: Jan. 05, 2016
    Published: Jun. 18, 2016
    DOI: 10.11648/j.ijiis.s.2016050301.12
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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