16 research outputs found
Sustainable removal of arsenic from waters by adsorption on blue crab, Portunus segnis (Forskål, 1775) chitosan-based adsorbents
No full textToward a bio-inspired adaptive spatial clustering approach for IoT applications
No full textBio-inspired algorithms have demonstrated effective capabilities to solve Wireless Sensor Network (WSN) challenges. As sensors represent a main component in the emergent domain of Internet of Things (IoT), these algorithms are expected to perform also well in this field while adapting to contextual changes and optimizing the use of the limited resources. In this paper, we propose a new firefly-based clustering approach for IoT applications. Our approach includes a micro clustering phase during which Real-World Things (RWTs) compete and self-organize into clusters. These clusters are then polished during a macro-clustering phase where they compete to integrate small neighboring clusters. We extend our approach to allow the IoT clusters to self-adapt by hiring and/or firing RWTs depending on ongoing events and their expected impact on the network and its current deployment area. Initial simulations are showing promising results where the number of clusters tends to stabilize independently from the density of the network and the various communication ranges of RWTs. (c) 2017 Elsevier B.V. All rights reserved.Jabeur, N (reprint author), German Univ Technol Oman Gutech, Comp Sci Dept, POB 1816, Muscat 130, Oman.
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Les droits des femmes à l’aube du printemps arabe : de « ne pas oublier les femmes » au « Femmes : n’oubliez pas ! »
No full textDans le cadre de cet article, l’auteur traite de la question des droits des femmes arabes dans un contexte international marqué par les changements politiques et par les transitions sociétales que connaît le monde arabo-musulman. En se référant à la théorie cyclique des révolutions de Crane Brinton et par un retour à l’histoire, loin de tout cynisme idéologique, l’auteur démontre que les grandes révolutions qui ont façonné les relations internationales depuis le 17e siècle, ont été souvent sources d’atteintes aux droits des femmes en dépit des sacrifices consentis par ces femmes pour faire réussir le « fait révolutionnaire ».In this article, the author deals with the question of the rights of Arab women in the actual international context characterized by the political changes and the societal transitions in the Arab-Muslim world. Inspired by Crane Brinton’s cyclical theory of revolution and by a return to history, and distancing himself from ideological cynicism, the author shows that “revolutions” have often been the source of infringements on the rights of women, despite the sacrifices made by these women to enable the “revolutionary event” to succeed.En este artículo, el autor trata de la situación de los derechos de las mujeres árabes en un contexto internacional marcado por los cambios políticos y las transiciones sociales en el mudo árabe-musulmán. Tomando como marco la teoría cíclica de las revoluciones de Crane Brinton y haciendo uso de la historia sin ningún cinismo ideológico, el autor demuestra que las grandes revoluciones que han marcado las relaciones internacionales a partir del Siglo XVII se han constituido en ataques a los derechos de las mujeres, a pesar de los sacrificios hechos por ellas en aras del éxito del “evento revolucionario”
A Firefly-inspired Micro and Macro Clustering Approach for Wireless Sensor Networks
No full textAbstractBio-inspired algorithms have been widely used to solve Wireless Sensor Network (WSN) challenges. In several studies, they have demonstrated effective capabilities to fulfil the expected goals while adapting to contextual changes and using limited resources. In this paper, we propose a new firefly-based approach for WSN clustering. Our approach includes a micro clustering phase during which sensors self-organize into clusters. These clusters are polished during a macro-clustering phase where they compete to integrate small neighboring clusters. Our simulations show promising results where the number of clusters tend to stabilize independently from the density of the network and the various communication ranges of sensors
Contre Daech : la protection des populations civiles à l’épreuve des conflits entre le droit musulman et le droit international humanitaire.
No full textDans cet article l’auteur vise à déconstruire le discours des groupes terroristes en démontrant les ressemblances qui existent entre les règles humanitaires protégeant les civils contre les effets des hostilités telles qu’elles sont développées par la tradition musulmane et par le droit international humanitaire contemporain. L’auteur défend l’idée selon laquelle les règles du droit international humanitaire sont violées en Syrie, en Irak et ailleurs, non pas parce qu’elles sont, aux dires de ces groupes, une création occidentale ou coloniale mais tout simplement parce que ces groupes, ayant perdu tous « les repères sur les limites du licite » ne respectent aucune règle protégeant les civils y compris celles consacrées par la tradition religieuse musulmane.In this article, the author aims to deconstruct the discourse of terrorist groups by demonstrating the similar arguments developed in both Muslim tradition and in contemporary international humanitarian law that advocate the protection of civilians against the effects of hostilities. The author defends the idea that principles of international humanitarian law are being violated in Syria, in Iraq and elsewhere because terrorist groups, « having lost all frames of reference regarding the limits of the lawful », are not respecting any rules protecting civilians including those enshrined in the Muslim religious tradition. He thus disputes these groups’ claims that these international humanitarian standards can be disregarded because they are western and colonial creation
A New Model for Multi-criteria ABC Inventory Classification: PROAFTN Method
No full textAbstractABC analysis is one of the most widely used techniques in inventory management to classify items into three predefined and ordered categories: A (very important items), B (moderately important items) and C (relatively unimportant items). In the literature, most of existing classification models tackled the ABC inventory classification problem as a ranking problem, i.e. a set of inventory items are ranked in a deceasing order based on their performance expressed by an overall weighted score. In this paper, the ABC inventory classification problem will be tackled as an assignment problem, i.e. an inventory item will be classified to the category with which it has the most similar characteristics. For this purpose, the PROAFTN method will be used to classify each inventory item into a specific category. Since the application of PROAFTN method requires the knowledge of some parameter values (e.g. prototypes pessimistic intervals and discrimination thresholds), the Chebyshev's theorem is used for their estimation. To determine the performance of the PROAFTN model with respect to some existing models, a benchmark data set from the literature is used
A social model for Literature Access: Towards a weighted social network of authors
No full textInternational audienceThis paper presents a novel retrieval approach for literature access based on social network analysis. In fact, we investigate a social model where authors represent the main entities and relationships are extracted from co-author and citation links. Moreover, we define a weighting model for social relationships which takes into account the authors positions in the social network and their mutual collaborations. Assigned weights express influence, knowledge transfer and shared interest between authors. Furthermore, we estimate document relevance by combing the document-query similarity and the document social importance derived from corresponding authors. To evaluate the effectiveness of our model, we conduct a series of experiments on a scientific document dataset that includes textual content and social data extracted from the academic social network CiteULike. Final results show that the proposed model improves the retrieval effectiveness and outperforms traditional and social information retrieval baselines
A Bully Approach for Competitive Redundancy in Heterogeneous Wireless Sensor Network
No full textAbstractIn this paper, we address the recurrent problem of node redundancy in heterogeneous Wireless Sensor Networks (WSNs). In addition to presenting a new analytical approach for estimating redundancy and unlike existing works, we propose a new solution where sensors are competing for the identification and relocation of redundant sensors. In our solution, which is mainly based on a comprehensive formulation of redundancy as a dynamic matter, sensors with low redundancy weights force neighboring peers with high redundancy weights to relocate or go to sleep according to a bully strategy. First simulations with the ns3 tool are showing promising results
ECASS: an encryption compression aggregation security scheme for secure data transmission in ambient assisted living systems
No full textConsiderable efforts are being spent worldwide to ensure comfortable living environments and decent, on-time assistance to elderly and people requiring healthcare services. Recent advances in data acquisition and communication are allowing revolutionary ambient assisted leaving (AAL) systems to be implemented, where healthcare data are collected and reported on-the-fly to dedicated medical servers for further analysis and actions. Due to the increasing rely on distributed, resource constrained sensing devices, AAL systems are being subject to large number of attacks. In addition to usual high energy consumption and communication overhead, current systems are not yet able to fully safeguard the private data of their users. To overcome these shortcomings, we propose in this paper to combine the use of cryptography, compressed sensing, and steganography into a new generic solution called Encryption Compression Aggregation Security Scheme (ECASS). While focusing on the specific case of Medical Healthcare Systems, ECASS aims to secure private data exchanges over wireless networks while achieving lower energy consumption and communication overhead. Our simulations with the NS-2.35 simulator are showing an improvement of 40 and 50% in terms of energy consumption and communication overhead respectively compared to the IBE-Lite security scheme.Mbarek, B (reprint author), German Univ Technol Oman GUtech, Athaibah, Oman.
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BibRank: a language-based model for co-ranking entities in bibliographic networks
No full textInternational audienceBibliographic documents are basically associated with many entities including authors, venues, affiliations, etc. While bibliographic search engines addressed mainly relevant document ranking according to a query topic, ranking other related relevant bibliographic entities is still challenging. Indeed, document relevance is the primary level that allows inferring the relevance of the other entities regardless of the query topic. In this paper, we propose a novel integrated ranking model, called BibRank, that aims at ranking both document and author entities in bibliographic networks. The underlying algorithm propagates entity scores through the network by means of citation and authorship links. Moreover, we propose to weight these relationships using content-based indicators that estimate the topical relatedness between entities. In particular, we estimate the common similarity between homogeneous entities by analyzing marginal citations. We also compare document and author language models in order to evaluate the level of author's knowledge on the document topic and the document representativeness of author's knowledge. Experiment results on the representative CiteSeerX dataset show that BibRank model outperforms state-of-the-art ranking models with a significant improvement
