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Selected Papers from MedICT 2015
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Selected Papers from MedICT 2015

A special issue of Information (ISSN 2078-2489).

Deadline for manuscript submissions: closed (30 June 2015) | Viewed by 46791

Special Issue Editor

Prof. Dr. Ahmed El Oualkadi

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Guest Editor
Abdelmalek Essaadi University, National school of applied sciences of Tangier (ENSATg), Department of Information and Communication Systems, Laboratory of Information and Communication Technologies (LabTIC), ENSA Tanger, Route Ziaten, BP 1818, Tanger principale, Morocco
Interests: Information & Communication Technologies (ICT), wireless communication, embedded system, information technology, radio-communication, circuits & systems.

Special Issue Information

Dear Colleagues,

The submission for this special issue is open for extended versions of some selected best papers accepted and presented in the Mediterranean Conference on Information & Communication Technologies (MedICT’15) which will take place at the Be Live Grand Saïdia Hotel, Saïdia, Morocco on May 7-9, 2015.

http://www.asdtic.org/medict2015

Prof. Dr. Ahmed El Oualkadi
Guest Editor

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Published Papers (8 papers)

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Research

2338 KiB  
Article
A New Efficient Optimal 2D Views Selection Method Based on Pivot Selection Techniques for 3D Indexing and Retrieval
by Hassan Silkan and Youssef Hanyf
Information 2015, 6(4), 679-692; https://doi.org/10.3390/info6040679 - 20 Oct 2015
Cited by 2 | Viewed by 5664
Abstract
In this paper, we propose a new method for 2D/3D object indexing and retrieval. The principle consists of an automatic selection of optimal views by using an incremental algorithm based on pivot selection techniques for proximity searching in metric spaces. The selected views [...] Read more.
In this paper, we propose a new method for 2D/3D object indexing and retrieval. The principle consists of an automatic selection of optimal views by using an incremental algorithm based on pivot selection techniques for proximity searching in metric spaces. The selected views are afterward described by four well-established descriptors from the MPEG-7 standard, namely: the color structure descriptor (CSD), the scalable color descriptor (SCD), the edge histogram descriptor (EHD) and the color layout descriptor (CLD). We present our results on two databases: The Amsterdam Library of Images (ALOI-1000), consisting of 72,000 color images of views, and the Columbia Object Image Library (COIL-100), consisting of 7200 color images of views. The results prove the performance of the developed method and its superiority over the k-means algorithm and the automatic selection of optimal views proposed by Mokhtarian et al. Full article
(This article belongs to the Special Issue Selected Papers from MedICT 2015)
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922 KiB  
Article
Duplication Detection When Evolving Feature Models of Software Product Lines
by Amal Khtira, Anissa Benlarabi and Bouchra El Asri
Information 2015, 6(4), 592-612; https://doi.org/10.3390/info6040592 - 7 Oct 2015
Cited by 3 | Viewed by 6597
Abstract
After the derivation of specific applications from a software product line, the applications keep evolving with respect to new customer’s requirements. In general, evolutions in most industrial projects are expressed using natural language, because it is the easiest and the most flexible way [...] Read more.
After the derivation of specific applications from a software product line, the applications keep evolving with respect to new customer’s requirements. In general, evolutions in most industrial projects are expressed using natural language, because it is the easiest and the most flexible way for customers to express their needs. However, the use of this means of communication has shown its limits in detecting defects, such as inconsistency and duplication, when evolving the existing models of the software product line. The aim of this paper is to transform the natural language specifications of new evolutions into a more formal representation using natural language processing. Then, an algorithm is proposed to automatically detect duplication between these specifications and the existing product line feature models. In order to instantiate the proposed solution, a tool is developed to automatize the two operations. Full article
(This article belongs to the Special Issue Selected Papers from MedICT 2015)
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937 KiB  
Article
Toward E-Content Adaptation: Units’ Sequence and Adapted Ant Colony Algorithm
by Naoual Chaouni Benabdellah, Mourad Gharbi and Mostafa Bellafkih
Information 2015, 6(3), 564-575; https://doi.org/10.3390/info6030564 - 1 Sep 2015
Cited by 4 | Viewed by 3957
Abstract
An adapted ant colony algorithm is proposed to adapt e-content to learner’s profile. The pertinence of proposed units keeps learners motivated. A model of categorization of course’s units is presented. Two learning paths are discussed based on a predefined graph. In addition, the [...] Read more.
An adapted ant colony algorithm is proposed to adapt e-content to learner’s profile. The pertinence of proposed units keeps learners motivated. A model of categorization of course’s units is presented. Two learning paths are discussed based on a predefined graph. In addition, the ant algorithm is simulated on the proposed model. The adapted algorithm requires a definition of a new pheromone which is a parameter responsible for defining whether the unit is in the right pedagogical sequence or in the wrong one. Moreover, it influences the calculation of quantity of pheromone deposited on each arc. Accordingly, results show that there are positive differences in learner’s passages to propose the suitable units depending on the sequence and the number of successes. The proposed units do not depend on the change of number of units around 10 to 30 units in the algorithm process. Full article
(This article belongs to the Special Issue Selected Papers from MedICT 2015)
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438 KiB  
Article
Analyzing Trends in Software Product Lines Evolution Using aCladistics Based Approach
by Anissa Benlarabi, Amal Khtira and Bouchra El Asri
Information 2015, 6(3), 550-563; https://doi.org/10.3390/info6030550 - 27 Aug 2015
Cited by 2 | Viewed by 4854
Abstract
A software product line is a complex system the aim of which is to provide a platform dedicated to large reuse. It necessitates a great investment. Thus, its ability to cope with customers’ ever-changing requirements is among its key success factors. Great effort [...] Read more.
A software product line is a complex system the aim of which is to provide a platform dedicated to large reuse. It necessitates a great investment. Thus, its ability to cope with customers’ ever-changing requirements is among its key success factors. Great effort has been made to deal with the software product line evolution. In our previous works, we carried out a classification of these works to provide an overview of the used techniques. We also identified the following key challenges of software product lines evolution: the ability to predict future changes, the ability to define the impact of a change easily and the improvement in understanding the change. We have already tackled the second and the third challenges. The objective of this paper is to deal with the first challenge. We use the cladistics classification which was used in biology to understand the evolution of organisms sharing the same ancestor and their process of descent at the aim of predicting their future changes. By analogy, we consider a population of applications for media management on mobile devices derived from the same platform and we use cladistics to construct their evolutionary tree. We conducted an analysis to show how to identify the evolution trends of the case study products and to predict future changes. Full article
(This article belongs to the Special Issue Selected Papers from MedICT 2015)
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833 KiB  
Article
News Schemes for Activity Recognition Systems Using PCA-WSVM, ICA-WSVM, and LDA-WSVM
by M’hamed Bilal Abidine and Belkacem Fergani
Information 2015, 6(3), 505-521; https://doi.org/10.3390/info6030505 - 20 Aug 2015
Cited by 12 | Viewed by 5793
Abstract
Feature extraction and classification are two key steps for activity recognition in a smart home environment. In this work, we used three methods for feature extraction: Principal Component Analysis (PCA), Independent Component Analysis (ICA), and Linear Discriminant Analysis (LDA). The new features selected [...] Read more.
Feature extraction and classification are two key steps for activity recognition in a smart home environment. In this work, we used three methods for feature extraction: Principal Component Analysis (PCA), Independent Component Analysis (ICA), and Linear Discriminant Analysis (LDA). The new features selected by each method are then used as the inputs for a Weighted Support Vector Machines (WSVM) classifier. This classifier is used to handle the problem of imbalanced activity data from the sensor readings. The experiments were implemented on multiple real-world datasets with Conditional Random Fields (CRF), standard Support Vector Machines (SVM), Weighted SVM, and combined methods PCA+WSVM, ICA+WSVM, and LDA+WSVM showed that LDA+WSVM had a higher recognition rate than other methods for activity recognition. Full article
(This article belongs to the Special Issue Selected Papers from MedICT 2015)
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262 KiB  
Article
Applying the Upper Integral to the Biometric Score Fusion Problem in the Identification Model
by Khalid Fakhar, Mohamed El Aroussi, Mohamed Nabil Saidi and Driss Aboutajdine
Information 2015, 6(3), 494-504; https://doi.org/10.3390/info6030494 - 14 Aug 2015
Cited by 1 | Viewed by 5022
Abstract
This paper presents a new biometric score fusion approach in an identification system using the upper integral with respect to Sugeno’s fuzzy measure. First, the proposed method considers each individual matcher as a fuzzy set in order to handle uncertainty and imperfection in [...] Read more.
This paper presents a new biometric score fusion approach in an identification system using the upper integral with respect to Sugeno’s fuzzy measure. First, the proposed method considers each individual matcher as a fuzzy set in order to handle uncertainty and imperfection in matching scores. Then, the corresponding fuzzy entropy estimates the reliability of the information provided by each biometric matcher. Next, the fuzzy densities are generated based on rank information and training accuracy. Finally, the results are aggregated using the upper fuzzy integral. Experimental results compared with other fusion methods demonstrate the good performance of the proposed approach. Full article
(This article belongs to the Special Issue Selected Papers from MedICT 2015)
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1596 KiB  
Article
Sliding-Mode Speed Control of PMSM with Fuzzy-Logic Chattering Minimization—Design and Implementation
by Fadil Hicham, Driss Yousfi, Aite Driss Youness, Elhafyani Mohamed Larbi and Nasrudin Abd Rahim
Information 2015, 6(3), 432-442; https://doi.org/10.3390/info6030432 - 28 Jul 2015
Cited by 18 | Viewed by 7850
Abstract
In this paper a Sliding Mode Control scheme (SMC) applied to the Permanent Magnet Synchronous Motor (PMSM) speed control is designed and improved. A Fuzzy logic algorithm is added to mitigate chattering caused by discontinuous term in steady states, and to ensure good [...] Read more.
In this paper a Sliding Mode Control scheme (SMC) applied to the Permanent Magnet Synchronous Motor (PMSM) speed control is designed and improved. A Fuzzy logic algorithm is added to mitigate chattering caused by discontinuous term in steady states, and to ensure good performances of the controller in transient states. The proposed Fuzzy-SMC performance is tested in simulation and experimental results are obtained using eZdsp F28335. Full article
(This article belongs to the Special Issue Selected Papers from MedICT 2015)
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2535 KiB  
Article
Multi-Criteria Vertical Handover Comparison between Wimax and Wifi
by Maroua Drissi and Mohammed Oumsis
Information 2015, 6(3), 399-410; https://doi.org/10.3390/info6030399 - 21 Jul 2015
Cited by 24 | Viewed by 6234
Abstract
In next generation wireless networks, the most tempting feature is the ability of the user to move smoothly over different access networks regardless of the network access technology. In this paper we study the benefit of Multiple Attribute Decision Making (MADM) strategies for [...] Read more.
In next generation wireless networks, the most tempting feature is the ability of the user to move smoothly over different access networks regardless of the network access technology. In this paper we study the benefit of Multiple Attribute Decision Making (MADM) strategies for network selection. We compare three of these methods naming Simple Additive Weighting (SAW), Multiplicative Exponential Weighting (MEW) and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) in a realtime ns-3 simulation. Analytic Hierarchy Process (AHP) provides the weights of attributes which allow the comparison in different types of applications. Therefore, we propose a performance evaluation model with a reconfiguration of AHP parameters used in the literature. Simulation results show that the proposed parameters provide an improvement of Delay and offer allowable Packet loss in different types of applications. Full article
(This article belongs to the Special Issue Selected Papers from MedICT 2015)
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