LARI, Algeria
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Koulougli D.,LARI | Hadjali A.,CNRS Laboratory of Computer Science and Automatic Control Systems | Rassoul I.,Mouloud Mammeri University
Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS | Year: 2017

Crowdsourcing is defined as an emerging computation paradigm, where the power of crowds is utilized to facilitate large scale tasks that are costly or time consuming with traditional methods. One of the most important technical challenges of crowdsourcing is quality control of workers' responses. Human factors play a key role in achieving high quality answers in crowdsourcing-based solving tasks. The most major factor is pertained to the uncertainty of workers about the responses that they provide to resolve the task at hand. On the other hand, workers may have diverse levels of expertise and skill. It is then important to take into account both the degrees of uncertainty and expertise to return the most correct reliable answer. In this paper, we propose a belief functions-based approach to achieve this goal. We conduct also some comprehensive experiments to validate the effectiveness of our proposal. © 2016 IEEE.


Hamrioui S.,University of Science and Technology Houari Boumediene | Lorenz P.,GRTC | Lloret J.,Polytechnic University of Valencia | Lalam M.,LARI
2014 IEEE Global Communications Conference, GLOBECOM 2014 | Year: 2014

The energy efficient in medical ad hoc sensors network (MASN) is one of the most important areas of researches to ensure better services for applications using such an environment. The challenge is how to use of energy of the sensors nodes in a fair way to avoid a break of connectivity in the network as long as possible. Our work focus on how to optimize the energy consumption and to increase the performance of the user applications in medical context. Our proposed approach is called M-EE (Medical Energy Efficient) which is based on the routing protocols with adding a new algorithm for energy fairness. M-EE takes into account the medical communication environment to manage efficiency the energy of the sensor nodes. With this mechanism, sensor nodes which are using image and video medical data are allowed more energy than other sensors nodes. The simulation results showed that our proposed M-EE approach allow significant energy consumption of the network, a reduction of the data loss and an increase in average working time of the sensors. © 2014 IEEE.


Chehade A.,Lebanese Agricultural Research Institute | Bitar A.E.,Lebanese Agricultural Research Institute | Kadri A.,Lebanese Agricultural Research Institute | Choueiri E.,Lebanese Agricultural Research Institute | And 7 more authors.
Journal of the Science of Food and Agriculture | Year: 2015

BACKGROUND: Very little information is available on the characteristics of the Lebanese olive germplasm. Therefore, the aim of this work was to evaluate the fruit and oil characteristics of the main Lebanese olive varieties (Aayrouni, Abou chawkeh, Baladi, Del and Soury) from two successive crop seasons (2010-2011). RESULTS: All of the genotypes had medium-high oil content in the fruit, indicating their suitability for oil production; Aayrouni had particularly high values. The variety Abou chawkeh also had a high pulp/pit ratio, which is a very desirable trait in table olives. For all the varieties the values of free fatty acids, peroxide values, absorbances in ultraviolet, fatty acid composition, sterol content and composition and erythrodiol+uvaol content of the oils were within the requirements of the International Olive Council's Trade Standard for extra virgin olive oil. The only exception was for the values of Δ-7-stigmastenol in 2011 in Soury and, especially, in Baladi, which were higher than 0.5%. In some cases, stearic and arachidic acids fluctuated around the maximum values allowed. CONCLUSION: The findings of this study provide a first picture of the main characteristics of olives and oils currently produced in Lebanon. © 2015 Society of Chemical Industry.


Villegas D.,IRTA - Institute of Agricultural-Alimentary Research and Technology | Casadesus J.,IRTA - Institute of Agricultural-Alimentary Research and Technology | Atienza S.G.,I.A.S. C.S.I.C. | Martos V.,University of Granada | And 4 more authors.
Field Crops Research | Year: 2010

The species × location interaction was of great importance in explaining the behaviour of genetic material. The study presented here shows, for the first time, the performance, under field conditions of the new tritordeum species, compared to wheat and triticale in a wide range of Mediterranean countries (Spain, Lebanon and Tunisia). The results obtained revealed that despite the diversity of environmental conditions, the main differences in yield were due to genotypes, especially to differences between species. The multi-local study with different growth conditions revealed important information about the water availability effect on yield. In the lowest yielding environments (Tunisia rainfed), Tritordeum and triticale yields were equivalent. However under better growth conditions (Spain), tritordeum yield was shown to be lower than wheat and triticale. Interestingly, when water limitation was extended during the pre-anthesis period, differences in tritordeum versus wheat-triticale yield rate were larger than when water stress occurred during anthesis. These variations were explained by the fact that kernel weight has been found as the limiting factor for yield determination in tritordeum, and a delay in the anthesis date may have been the cause for the low kernel weight and low yield under Mediterranean drought conditions. Such differences in yield between tritordeum and wheat or triticale could be explained by the fact that tritordeum is a relatively new species and far fewer resources have been devoted to its improvement when compared to wheat and triticale. Our results suggest that breeding efforts should be directed to an earlier anthesis date and a longer grain filling period. Tritordeum proved to have possibilities to be grown under drought environments as a new crop, since its performance was quite close to wheat and triticale. Besides, it has qualitative added values that may improve farmers' income per unit land. © 2009 Elsevier B.V. All rights reserved.


Koulougli D.,LARI | Koulougli D.,CNRS Laboratory of Computer Science and Automatic Control Systems | Hadjali A.,CNRS Laboratory of Computer Science and Automatic Control Systems | Rassoul I.,LARI
Proceedings - International Conference on Research Challenges in Information Science | Year: 2016

In recent years, crowdsourcing has become essential in a wide range of Web applications. Human factors play a key role in achieving high quality answers in crowdsourcing-based solving tasks. The most major factor is pertained to the uncertainty of workers about the responses that they provide to resolve the task at hand. On the other hand, workers may have diverse levels of expertise and skill. It is then important to take into account both the degrees of uncertainty and expertise when aggregating the set of worker answers. In this paper, we investigate some advanced crowdsourcing aggregation methods to find the correct answers by leveraging both expertise and uncertainty of workers in a unified way. Workers' uncertainty is represented in a possibilistic way, while a fine-grained scale for interpreting the degrees of skill is introduced. Finally, we present some comprehensive experiments to validate the effectiveness of our proposal. © 2016 IEEE.

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