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Benzerga F.,Abou Bekr Belkaid University Tlemcen | Abri M.,Abou Bekr Belkaid University Tlemcen | Badaoui H.A.,STIC Laboratory | Tao J.,CNRS LAPLACE Lab | Vuong T.-H.,CNRS LAPLACE Lab
2015 JIEEEC 9th Jordanian International Electrical and Electronics Engineering Conference, JIEEEC 2015

Recently, the finite element technique has been so well established that today it is considered to be one of the best methods for solving a wide variety of practical problems efficiently. This paper presents the numerical modeling using the two-dimensional finite element method 2D-FEM. This rigorous technique is applied for the analysis and design for power dividers in substrate integrated waveguide technology employed for V band applications. The CST Microwave studio® software is employed to validate the proposed method. An excellent agreement between the finite element method data and CST simulation is achieved. The perfect comparison results show the success of the 2D-FEM method to analyze SIW power dividers. © 2015 IEEE. Source

Dali Youcef L.F.,STIC Laboratory | Ghomari A.,Oran University of Science and Technology - Mohamed Boudiaf | Tani M.Y.K.,Oran University of Science and Technology - Mohamed Boudiaf
Proceedings of 2014 Science and Information Conference, SAI 2014

Video database annotation has become the area field of interest recently, where several methods and techniques emerge. Regarding manual annotation as seriously time-consuming and automatic ones as large-scale of video unsatisfied, our topic of interest belongs to the semi-automatic annotation, where a little set of video is annotated manually and this will be propagated to the entire databases. We try to consider annotation able to exploit unconsidered concepts to help for improving annotation and XML performance. Our approach takes the low level descriptors' MPEG7 file added to the ontology's lexicon as input, and defines concepts of high level as output. Hence, an annotated video database is created. © 2014 The Science and Information (SAI) Organization. Source

The development of adaptable mobile applications on heterogeneous environments is still a complex problem today. These conceived applications must be able to be carried out and adapted according to their use context. The analysis of this dynamic adaptation required to study the parameters of the mobile environment in order to optimize the performances and to better exploit the environment conditions. We propose within the framework of this article, the design and implementation of a tool for generation of graphic interface allowing MIDlet to offer a display service of multiterminal, adaptable and portable. It concerns the define of a generic design model for the heterogeneous medical data, the analysis, the reconstitution and the visualization of the biomedical signals on multi-screens portable terminals. This model allows the deployed applications to be one hand usable in varied contexts what makes it possible to implement a technical platform common to a set of peripheral mobiles and on the other hand adaptable in complex treatments. So, this paper recalls a complete architecture of an Intelligent Mobile Assistant Medical, which can provide medical feedback to the patients through mobile devices based on the biomedical and environmental data collected by deployed sensors. Thus, the stakes of setting up such systems are numerous, so much for patients, medical staff and the society in general. © 2015, Springer Science+Business Media New York. Source

Bourouis A.,Algeria Telecom Research Group | Zerdazi A.,Algeria Telecom Research Group | Feham M.,STIC Laboratory | Bouchachia A.,Bournemouth University
Procedia Computer Science

The increasing use of Smartphone and Tablet , their on-board sensors and increasing computational power show immense promise for improved mobile health technologies , one of the medical areas which needs this technologies is skin analysis to identify diseases . In this paper, we describe an innovative development of a low cost smartphone based intelligent system using integrated camera. The advantage of this solution is that patients in remote areas, poor and developing countries can scan, analyze and make regular skin examinations in any place. In this paper, an Artificial Neural Network algorithm is used to analyze the skin images to identify cancer. © 2013 The Authors. Published by Elsevier B.V. Source

Kudagba K.,University | El Beqqali O.,STIC Laboratory | Badir H.,STIC Laboratory
Proceedings - 5th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2009

Querying and sharing Web proteomics data is a great and challenging topic in Pharmaceutical Drug Discovery and Computational Biology. Given that, several data sources can be used to answer the same sub-goals in the Global query, it is obvious that we can have many different candidates rewritings. The user-query is formulated using Concepts and Properties related to Proteomics research (Domain Ontology). Semantic mappings describe the contents of underlying sources in order to highlight their query capabilities. In recent works [1, 47], we have proposed a characterization of query rewriting problem using semantic mappings as an associated hypergraph. Hence, the generation of candidates' rewritings can be formulated as the discovery of minimals Transversals from this hypergraph. We exploit and adapt some algorithms available in Hypergraph Theory to find all candidates rewritings from a query answering problem, and so to rank these rewritings according to User preferences, and sources technical performances. This current paper extends our research works by proposing a language, called ψ-trees and based on ψ-terms logical formalisms in order to capture semantics of proteomics knowledges and better discover biological resources available on the Web. © 2009 IEEE. Source

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