Publications
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QR-code enabled product traceability system: a Big Data perspective
Product traceability can ensure high level of product: quality, integrity and availability. It is defined as the ability to track & trace individual items throughout their whole lifecycle from manufacturing to recycling. This includes real-time data about product physical location (ability to Track) and product historical data (ability to Trace). The need of such systems […]
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A predictive analysis data-based for Additive Manufacturing
Additive Manufacturing (AM) is considered as an essential technology for the new industrial revolution, the use of such technology helps reducing considerably the prototyping cost and complexity. Adding to its recent appearing, the powerful advances of this technology allowed introducing several new tracks, like the completely AM However, the AM suffers from several issues (printing […]
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Intelligent Systems for Building Energy and Occupant Comfort Optimization: A State of the Art Review and Recommendations
état de l’art sur les modèles énergie vs bâtiment intelligent
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Factors Affecting the Choice of Usability Evaluation Methods for Interactive Adaptive Systems
Choosing the appropriate usability evaluation methods is a key part of the usability evaluation process of interactive adaptive systems. This step needs the consideration of different factors, leading to a multi-criteria decision analysis problem. In this paper, we present a review of the main factors reported in the literature which can affect the selection of […]
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Recommendations-based on semantic analysis of social networks in learning environments
The expansion of social utilization within web applications provides a set of social media that allows users to contribute freely and interact with each other. Consequently, E-learning systems have benefited greatly from the concepts of the social web and the emerging technologies of the web semantic, where students and teachers are living and interacting mainly […]
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PiMonitor: A Wi-Fi Monitoring Device Based on Raspberry-Pi
Wi-Fi has become imperative to our day-to-day tasks whether at work or at home. Internet surfing nowadays requires more data usage due to the increase in the number of connected devices and the rapid growth of multimedia applications comprising high-resolution photos and high definition video content. Unfortunately, the majority of internet service providers enforce a […]
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A Recursive K-means towards trade-off between PLM Competences, Positions, and Offers
Last decade recognizes a high job demand, more specialized trainings with very oriented jobs offers. This situation makes hiring and recruitments officers in the difficulty to select and find easily the appropriate candidate as well for candidates to choose the best practices and trainings to find later a respectable position. This work aims to help […]
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Challenges facing the industrial implementation of Fog Computing
Recently, the industries converge to the integration of the industry 4.0 paradigm to keep responding to the variable market demands. This integration is realized by the adoption of several components of the industry 4.0 such as IoT, Big Data and Cloud Computing, etc. Several difficulties concerning the integration of data management were encountered during first […]
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iGym—A Raspberrypi-Smartphone Hybrid System for better Entertaining Treadmill Users
Physical exercising has always had an important impact on humans’ health. Lack of motivation is one of the major reasons that keeps a person from exercising. To overcome this problem, new solutions are needed to provide weight watchers and fitness seekers motivation to exercise indoors. This paper presents iGym, a low cost and flexible system […]
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GESTION DE FLUX DE DONNEES TOURISTIQUES DANS UN CONTEXTE BIG DATA
Dans cet article nous présentons un framework (modèle) de collecte, stockage/gestion, analyse et visualisation des données visiteurs. Le modèle proposée repose sur la technologie No-SQL dédiée au stockage et gestion des données non-structurées (données spatio-temporelles, texte, etc.). D’un autre côté, nous allons, dans la version finale de l’article, intégrer une composante MapReduce afin de permettre […]
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Fusion de capteurs à l’aide d’apprentissage automatique pour la localisation d’un drone dans un environnement contraint
Dans cet article, nous traitons le problème du positionnement et de la localisation d’un drone dans un environnement contraint sans GPS dans le cadre d’inspection industrielle. Nous proposons une première approche de localisation basée sur l’apprentissage d’un modèle de prédiction de localisation à l’aide d’apprentissage automatique. Les données utilisées sont issues de la fusion de […]
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Le Big Data dans l’industrie du futur : état de l’art
un état de l’art sur le Big Data dans l’industrie du futur
Chargement en cours…
Erreur : tout le contenu a été chargé.