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Bourouis A.,Algeria Telecom Research Group | Zerdazi A.,Algeria Telecom Research Group | Feham M.,STIC Laboratory | Bouchachia A.,Bournemouth University
Procedia Computer Science | Year: 2013

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.


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 | Year: 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.


Sabri K.,STIC Laboratory | Choklati A.,STIC Laboratory
WCCCS 2014 - Proceedings; 2014 5th Workshop on Codes, Cryptography and Communication Systems | Year: 2014

It is well known that periodic random impulses are a natural way for modeling highly localized events occuring randomly at given times. Nevertheless, the measured impulses are usually masked due to unwanted convolution and generally drowned in noise. Thus, the resulting signal is not legible and may lead to bad or even erroneous analysis, and hence, the need of deconvolution to retrieve the random periodic impulses. Actually, periodic random impulses signals are sparse with periodically correlated coefficients. It is thus emerged how to combine the data structure and the sparsity simultaneously for a best description. The originality of this communications lies in the proposition of new measures of cyclic sparsity property for the deconvolution of signals that are jointly cyclostationary and sparse as periodic random impulses. As far as we know, all related studies in this field make use of only one property, either sparsity or cyclostationarity and never both properties together. The key feature of cyclic sparsity deconvolution is that it combines the cyclic structure and the sparsity together which leads to an enhancement of performances. In the end, we presented examples of numerical simulations to show the behavior in deconvolution context of the proposed algorithms against an ℓ1-sparse deconvolution based on convex optimization. We show that deconvolution based on cyclic sparsity hypothesis leads to satisfactory results. © 2014 IEEE.


Merzougui R.,STIC Laboratory | Feham M.,STIC Laboratory | Sedjelmaci H.,STIC Laboratory
International Journal of Wireless Information Networks | Year: 2011

The development and the design of telemedicine services have taken a great consideration and care in the domain of wireless communication nowadays. The set of these researches is concerned with old people and lack of infrastructures of reception for those who are at risk or tend to have deterioration in their health condition. Thus, several works of research contributed to develop telemedicine services. They notably focus on the conception and the development of communication architectures between the actors of these systems, monitoring and the development of human's quality is based on the storage of the collected data at home and analytical tools, and processing of these large quantities of data. Therefore, it is useful to detect and prevent the occurrence of critical situations of a remote person, the transmission of the messages and alarms to concerned actors to be ready to intervene in a case of emergency. Many works and systems undertaken in this field carry out the complete analysis and synthesis of signals on large servers (great capacities, better resolutions⋯). Moreover, these systems would have required large means and a large infrastructure in their deployment (installation, configuration⋯), which generates the disadvantage of the excessive expenditure. In this paper, we suggest to introduce and implement this complete treatment for revealing critical situations and pathologies on a simple mobile phone by respecting theirs constraints. The principal objective is to permit a taking off for medical and social dependant people as aged ones, handicapped, in order to the adaptation with their environment domestically and make up their incapacities. In this case, it is indispensable to make a diagnostic in a real time and well manage the patient's computerized data between the various medical actors with the permanent security insurance of highly risky patients. Furthermore, the need to make a speed diagnostic of patients and to detect their health state, their parameters (medical information) of analyses with efficacy, allows us to gain time while monitoring the cardiac patient. It concerns the implementation of services on mobile terminals for transferring medical information and results of ECG analysis (calculated parameters) in a real time with ensuring the mobility, the permanent security and the reliability insurance in covered zone by the mobile network, PLMN (GSM/GPRS⋯). Our attention has been focused on the choice of a relevant work. It concerns an application on a mobile terminal (MIDlet) for detecting some cardiac pathologies and monitoring patient in a non-hospital setting. This paper recalls a complete architecture of an economic wireless transmission system with the implementation of an effective algorithm, adapted to the mobile terminal, allowing to the doctor to have the results of the ECG analysis. Thus, the stakes of setting up such systems are numerous, so much for patients, medical staff and the society in general. © 2011 Springer Science+Business Media, LLC.


Kudagba K.,USMBA University | El Beqqali O.,STIC Laboratory | Badir H.,STIC Laboratory
Proceedings - 5th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2009 | Year: 2010

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.


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.

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