Comparación de métodos de localización de múltiples objetivos empleando redes de sensores

En el presente Proyecto Fin de Carrera se compara el rendimiento y la complejidad de varios algoritmos de procesado estadístico de señales aplicados al problema de localización de objetivos estáticos empleando redes de sensores. Se consideran dos escenarios, el primero con un único objetivo y el segundo con múltiples blancos. Los objetivos están ubicados en un área monitorizada por una red de sensores y emiten una señal de radiofrecuencia cuya potencia puede ser medida por los sensores. Estos últimos realizan las mediciones de manera periódica y cada medida es enviada al centro de fusión de datos que es el encargado de aplicar un algoritmo para estimar la posición de los objetivos. A lo largo del proyecto se han estudiado varios métodos de localización. Se han estudiado métodos de Monte Carlo (MMC) que permiten aproximar funciones de distribución de probabilidad y/o estimar sus momentos. Se ha hecho hincapié en el muestreo enfatizado secuencial con remuestreo. Se han detallado los algoritmos para el caso de un único objetivo y se han mostrado resultados numéricos en ese escenario. Finalmente, se han adaptado los diferentes algoritmos para poder estimar la posición de múltiples blancos y se han presentado también resultados numéricos. Para los dos casos, se ha evaluado el rendimiento y la complejidad de todos los algoritmos estudiados en terminos del error medio absoluto de las estimaciones y el tiempo real de ejecución.Ingeniería de Telecomunicació

Hybrid approach of the fuzzy C-Means and the K-Nearest neighbors methods during the retrieve phase of dynamic case based reasoning for personalized Follow-up of learners in real time

The goal of adaptive learning systems is to help the learner achieve their goals and guide their learning. These systems make it possible to adapt the presentation of learning resources according to learners' needs, characteristics and learning styles, by offering them personalized courses. We propose an approach to an adaptive learning system that takes into account the initial learning profile based on Felder Silverman's learning style model in order to propose an initial learning path and the dynamic change of his behavior during the learning process using the Incremental Dynamic Case Based Reasoning approach to monitor and control its behavior in real time, based on the successful experiences of other learners, to personalize the learning. These learner experiences are grouped into homogeneous classes at the behavioral level, using the Fuzzy C-Means unsupervised machine learning method to facilitate the search for learners with similar behaviors using the supervised machine learning method K- Nearest Neighbors

Identifying learning style through eye tracking technology in adaptive learning systems

Learner learning style represents a key principle and core value of the adaptive learning systems (ALS). Moreover, understanding individual learner learning styles is a very good condition for having the best services of resource adaptation. However, the majority of the ALS, which consider learning styles, use questionnaires in order to detect it, whereas this method has a various disadvantages, For example, it is unsuitable for some kinds of respondents, time-consuming to complete, it may be misunderstood by respondent, etc. In the present paper, we propose an approach for automatically detecting learning styles in ALS based on eye tracking technology, because it represents one of the most informative characteristics of gaze behavior. The experimental results showed a high relationship among the Felder-Silverman Learning Style and the eye movements recorded whilst learning

Hypertension and type 2 diabetes: a cross-sectional study in Morocco (EPIDIAM Study)

Background: In Morocco, there are no studies that focused on the hypertension and its associated risk factors through patients with type 2 diabetes. Different findings show that the frequency of type 2 diabetes has risen rapidly in Morocco. The main objective of this study was to assess the prevalence of hypertension and its associated risk factors among a group of patients with type 2 diabetes and to examine the level of control of hypertension among type 2 diabetic patients with hypertension. Methods: A cross-sectional study was carried out on 525 type 2 diabetics in three Moroccan regions. The structured questionnaire was used to gather information on sociodemographic variables, history of hypertension, use of anti-hypertensive medications and duration of diabetes. Anthropometric measurements including weight and height were measured by trained staff. Blood pressure was measured using standardized sphygmomanometers. Results: The prevalence of hypertension was 70.4%. The logistic regression indicated that hypertension was positively associated with age (p<10-4), BMI (p<0.0002) and duration of diabetes (p Conclusion: Hypertension is a common co-morbidity among Moroccan diabetic patients with high rate of ignorance of hypertension among study subjects. The focus must be on patients and family education, counseling and behavioral interventions designed to modify lifestyle such as increasing physical activity and adopting recommended dietary changes, as well as compliance with medications

Arabic Text Summarization Challenges using Deep Learning Techniques: A Review

Text summarization is a challenging field in Natural Language Processing due to language modelisation and used techniques to give concise summaries.  Dealing with Arabic language does increase the challenge while taking into consideration the many features of the Arabic language, the lack of tools and resources for Arabic, and the Algorithms adaptation and modelisation. In this paper, we present several researches dealing with Arabic Text summarization applying different Algorithms on several Datasets. We then compare all these researches and we give a conclusion to guide researchers on their further work

Health risk behaviours amongst school adolescents: protocol for a mixed methods study

Abstract Background Determining risky behaviours of adolescents provides valuable information for designing appropriate intervention programmes for advancing adolescent’s health. However, these behaviours are not fully addressed by researchers in a comprehensive approach. We report the protocol of a mixed methods study designed to investigate the health risk behaviours of Moroccan adolescents with the goal of identifying suitable strategies to address their health concerns. Methods We used a sequential two-phase explanatory mixed method study design. The approach begins with the collection of quantitative data, followed by the collection of qualitative data to explain and enrich the quantitative findings. In the first phase, the global school-based student health survey (GSHS) was administered to 800 students who were between 14 and 19 years of age. The second phase engaged adolescents, parents and teachers in focus groups and assessed education documents to explore the level of coverage of health education in the programme learnt in the middle school. To obtain opinions about strategies to reduce Moroccan adolescents’ health risk behaviours, a nominal group technique will be used. Discussion The findings of this mixed methods sequential explanatory study provide insights into the risk behaviours that need to be considered if intervention programmes and preventive strategies are to be designed to promote adolescent’s health in the Moroccan school

Factors influencing cloud computing adoption in small medium enterprises

Cloud computing offers information technology (IT) infrastructure, platform, and various applications via the Internet with minimum start-up cost, network access to a shared pool of configurable computing resources, and pay-per-use services. Although the potential for cloud computing is evident and much of the extant research has been carried out on cloud computing adoption, empirical studies on the factors that influence cloud computing adoption in the Malaysian Small and Medium Enterprises (SMEs) are, however, lacking. The objective of this study was to examine the factors that influence cloud computing adoption by the SMEs. We conducted a quantitative survey-based study to examine the relationship between perceived benefits, top management support, IT resources, external pressure, and cloud computing adoption. A free-form comment provided at the end of each section of the survey questionnaire was treated as qualitative data. We find that IT resources and external pressure significantly influence cloud computing adoption. Nonetheless, there is not enough evidence to support perceived benefits and top management support as significant factors of cloud computing adoption

A systematic reading in statistical translation: From the statistical machine translation to the neural translation models

Achieving high accuracy in automatic translation tasks has been one of the challenging goals for researchers in the area of machine translation since decades.Thus, the eagerness of exploring new possible ways to improve machine translation was always the matter for researchers in the field. Automatic translation as a key application in the natural language processing domain has developed many approaches, namely statistical machine translation and recently neural machine translation that improved largely the translation quality especially for Latin languages.They have even made it possible for the translation of some language pairs to approach human translation quality.In this paper, we present a survey of the state of the art of statistical translation, where we describe the different existing methodologies, and we overview the recent research studies while pointing out the main strengths and limitations of the different approaches

ETUDE DE L’EXPRESSION DES COMPORTEMENTS MOTIVES DES ELEVES POUR L’EDUCATION PHYSIQUE ET SPORTIVE (EPS)

The motivation and determination of the many factors that cause the learners desire to learn or not, is a theme that has been widely apprehended in an educational context and sports. This study aims at knowing the various styles of behaviour of the pupils when they are justify for the courses of PES. Hundred and seventy-five pupils stemming from four public secondary establishments of Taza (Morocco), from 12 to 18 years old were subjected to an opened questionnaire evaluating their behavioural expressions according to four times which make a session of physical and sports education PSE : before the course, during the heating, during the course and after the course. The results reveal overall that when the courses of PSE interest the pupils, they express it by classifiable styles of behaviour in the order of: punctuality, the concentration, the active participation and positive emotional demonstrations of physical well-being and good mood after the courses