Gabès, Tunisia
Gabès, Tunisia

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Mekki K.,University of Lorraine | Mekki K.,Nancy Research Center for Automatic Control | Mekki K.,Research Unit of Modeling | Derigent W.,University of Lorraine | And 7 more authors.
Computer Standards and Interfaces | Year: 2015

The rapid development of Internet of Things has triggered the multiplication of communication nodes based on Radio-Frequency Identification (RFID) and Wireless Sensor Networks (WSNs) in various domains such as building, city, industry, and transport. These communication nodes are attached to a thing or directly included in the material of the thing to form a communicating material. In communicating material, one of the desired objectives is to merge the logical data with its physical material, thus simplifying the monitoring of its life cycle, the maintenance operations, and the recycling process. In this context, the initial form of the communicating material can evolve during its lifecycle. It can be split, aggregated with other materials, or partially damaged. However, the entire information in the material should always be accessible after each change. Thus, the objective of this research is to develop specific algorithms for efficient dissemination of information in the material in order to limit information losses. Two dissemination algorithms hop-counter-based and probabilistic-based are proposed for storing data by using WSNs, and non-localized and localized storage is considered. Non-localized storage ensures that information can be retrieved from each piece of the material by using a uniform data replication process. Localized storage ensures that the information is stored in a limited region of the material. Castalia/OMNeT++ simulator is used to compare the performance of the proposed algorithms with other similar protocols such as DEEP, Supple, and RaWMS. © 2015 Elsevier B.V.


Mekki K.,University of Lorraine | Mekki K.,Nancy Research Center for Automatic Control | Mekki K.,Research Unit of Modeling | Zouinkhi A.,Research Unit of Modeling | And 7 more authors.
Future Generation Computer Systems | Year: 2016

A new Internet of Things area is coming with communicating materials, which are able to provide diverse functionalities to users all along the product lifecycle. As example, it can track its own evolution which leads to gather helpful information. This new paradigm is fulfilled via the integration of specific electronic components into the product material. In this work, ultra-small Wireless Sensor Networks (WSN) are used for large scale materials such as concrete in smart building. Indeed, storage of lifecycle information and data dissemination in communicating materials are very important issues. Therefore, this paper provides solution for storing data by systematic dissemination through the integrated WSN. It presents USEE, a uniform data storage protocol for large scale communicating material. USEE guarantees that information could be retrieved in each piece of the material by intelligently managing data replication among each neighborhood of the WSN. Unlike related protocols of the literature, USEE considers in the same set uniformity storage in the whole network, the data importance level, and the resource constraints of sensor nodes. When compared with related protocols such as RaWMS, DEEP, and Supple, USEE shows a uniform dissemination and low communication overhead tradeoff for all the data importance levels. © 2015 Elsevier B.V.


Mekki K.,University of Lorraine | Mekki K.,Research Unit of Modeling | Derigent W.,University of Lorraine | Zouinkhi A.,Research Unit of Modeling | And 3 more authors.
Proceedings - 2016 IEEE 4th International Conference on Future Internet of Things and Cloud, FiCloud 2016 | Year: 2016

A new area is coming with intelligent materials able to provide diverse functionalities to users all along the product lifecycle, during the design, manufacturing, use and dismantling phases. These materials can track their own evolution all along the product lifetime, gather helpful information and thus allow information continuum at all time and everywhere. Usually, these functionalities are fulfilled via the integration of specific electronic components into the material (wireless sensors nodes, RFID tags). The present paper forms part of this framework in considering that thousands of micro-sensor nodes are integrated into a concrete precast. All nodes store different information of precast properties in their memory requiring designing a specific Wireless Sensor Network (WSN) protocol to extract this information. The proposed protocol employs three mechanisms. First, the random walk is used as multi-hop process to forward the request to further nodes. Then, the pull gossip mechanism is added to interrogate the neighbor nodes in each hop. Finally, a mechanism called farthest neighbors selection is added. Only the farthest and most powerful neighbor is selected as next hop for improving the reliability of the original random walk process. © 2016 IEEE.


Ben Hamed M.,University of Monastir | Sbita L.,University of Monastir | Abboud W.,Research Unit of Modeling
Leonardo Electronic Journal of Practices and Technologies | Year: 2010

The aim of this paper is to present a full digital implementation of a sensorless speed direct orientation field controlled induction motor drive. Thanks to their advantages, the fuzzy logic is used to control the Squirrel Cage Induction Motor rotor speed and a neural network is used to reconstruct it. Experimental results for a 1kw induction motor are presented and analyzed using a dSpace system with DS1104 controller board based on digital signal processors (DSP). Obtained results demonstrated that the proposed sensorless control scheme is able to obtain high performances.


Chabir N.,Research Unit of Modeling | Chabir N.,University Paul Sabatier | Romdhane M.,Research Unit of Modeling | Valentin A.,University Paul Sabatier | And 5 more authors.
Journal of Medicinal Food | Year: 2011

This study investigated the chemical composition (by using gas chromatography/flame ionization detection and gas chromatography/mass spectrometry, an antioxidant [1,1-diphenyl-2-picrylhydrazyl] [DPPH] radical-scavenging assay, and a 2,2′-azinobis-3-ethylbenzothiazoline-6- sulfonate [ABTS] radical cation-scavenging assay) and the antimalarial and cytotoxic activities of essential oil extracted from leaves of Melaleuca armillaris. Thirty-two components representing more than 98% of the total composition of the essential oil were identified. The main components were 1,8-cineole (85.8%), camphene (5.05%), and α-pinene (1.95%). The antioxidant activity by ABTS assay showed a mean (±standard deviation) 50% inhibitory concentration (IC50) value of 247.3±3.9mg/L, and the DPPH assay yielded an IC50 value of 2183.6±44.3mg/L. The antimalarial study indicated that the essential oil had mild activity against the chloroquine-resistant Plasmodium falciparum FcB1 strain (IC 50, 27±2mg/L). The cytotoxic activity of this essential oil was tested against MCF7 human breast cancer cells and was found to be high (IC50, 12±1mg/L). © Copyright 2011, Mary Ann Liebert, Inc. and Korean Society of Food Science and Nutrition 2011.


Mekki K.,University of Lorraine | Mekki K.,Nancy Research Center for Automatic Control | Mekki K.,Research Unit of Modeling | Derigent W.,University of Lorraine | And 7 more authors.
Future Generation Computer Systems | Year: 2015

A new Internet of Things area is coming with communicating materials, which are able to provide diverse functionalities to users all along the product lifecycle. As example, it can track its own evolution which leads to gather helpful information. This new paradigm is fulfilled via the integration of specific electronic components into the product material. In this work, ultra-small Wireless Sensor Networks (WSN) are used for large scale materials such as concrete in smart building. Indeed, storage of lifecycle information and data dissemination in communicating materials are very important issues. Therefore, this paper provides solution for storing data by systematic dissemination through the integrated WSN. It presents USEE, a uniform data storage protocol for large scale communicating material. USEE guarantees that information could be retrieved in each piece of the material by intelligently managing data replication among each neighborhood of the WSN. Unlike related protocols of the literature, USEE considers in the same set uniformity storage in the whole network, the data importance level, and the resource constraints of sensor nodes. When compared with related protocols such as RaWMS, DEEP, and Supple, USEE shows a uniform dissemination and low communication overhead tradeoff for all the data importance levels. © 2015 Elsevier B.V.


Mekki K.,University of Lorraine | Mekki K.,Nancy Research Center for Automatic Control | Mekki K.,Research Unit of Modeling | Derigent W.,University of Lorraine | And 5 more authors.
Proceedings - 2014 International Conference on Future Internet of Things and Cloud, FiCloud 2014 | Year: 2014

The communicating material is a new paradigm of Internet of Things. It is designed to perform efficient product control and ensure an information continuum all along the product life cycle. Therefore, storage of life cycle information and data dissemination in communicating materials are very important issues. This paper provides solutions for storing data on the material by systematic dissemination through integrated ultra-small wireless sensors nodes using counter-based broadcasting scheme, hop-counter and probabilistic storage mechanisms. Different algorithms are developed for non-localized and localized dissemination. The performances of our solutions are evaluated for non-segmented and then segmented data. Comparison results between storage mechanisms via simulation using Castalia/OMNeT++ show that probabilistic algorithm provides uniform and efficient data dissemination than hop-counter one for different density level. © 2014 IEEE.

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