Publications
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Preliminary design and evaluation of strategic dashboards through the technology acceptance model
In the age of the fourth industrial revolution, the competition between enterprises is fierce to operate efficiently and hold on to their customers. Due to lack of time and methodology, many leaders struggle to establish optimized strategies for their businesses. To do so, the key processes need to be measured using dashboards that proactively help […]
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Les pédagogies actives par problèmes et par projets à l’épreuve de la distance : questions à l’ingénierie
Il s’agit d’une contribution au débat sur l’ingénierie de la formation à distance initié par la revue pour l »année 2020. l’article présente les pédagogies actives mises en oeuvre à CESI comme transposables à distance, ainsi que l’a montré l’épreuve du premier confinement. Elles constitueraient ainsi une nouvelle forme de formation distance, ayant les caractéristiques que […]
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A BIM-based framework for an Optimal WSNDeployment in Smart Building
Wireless Sensors Network (WSN) are essential to ensure data collection and monitor in real time buildings and their environments. In general, the collected data are of paramount importance especially to optimize resource consumption and to improve the indoor user’s comfort. However, the reliability of smart buildings depends on the completeness and the relevance of the […]
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A Spanish Corpus for Talking to the Elderly
In this work, a Spanish corpus that was developed, within the EMPATHIC project (http://www.empathic-project.eu/) framework, is presented. It was designed for building a dialogue system capable of talking to elderly people and promoting healthy habits, through a coaching model. The corpus, that comprises audio, video an text channels, was acquired by using a Wizard of […]
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Dynamic scheduling of robotic mildew treatment by UV-c in horticulture
Thanks to new technologies, it is possible to make an automatic robotic treatment of plants for the mildew in greenhouses. The optimization of the scheduling of this robotic treatment presents a real challenge due to the continues evolution of disease level. The conventional optimization methods can not provide an accurate scheduling able to eliminate the […]
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Dual Color-Image Discriminators Adversarial Networks for Generating Artificial-SAR Colorized Images from SENTINEL-1 Images
In this paper, we introduce a new generative adversarial network (GAN) with dual image-color discriminators, to predict Artificial-SAR colorized images from SAR ones (Sentinel-1). Based on the conventional architecture of GANs, we employ an additional color discriminator that evaluates the differences in brightness, contrast, and major colors between images, while the image discriminator compares texture […]
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The direct and indirect risk impacts on remittances: A cross‐regional specific effects
The main purpose of this paper is to study determinants of workers’ remittances especially the impact of country risk based on a regional comparison of 121 countries subdivided into six areas over the period 1984–2015. We consider possible direct and indirect effects of different risk indexes. We particularly focus on the comparison of the regional […]
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Modeling Attack-Defense Trees’ Countermeasures using Continuous Time Markov Chains
ADTrees (Attack-Defense Trees) are graphical security mod- eling tools used to logically represent attack scenarios along with their corresponding countermeasures in a user-friendly way. Many researchers nowadays use ADTrees to represent attack scenarios and perform quan- titative as well as qualitative security assessment. Among all di erent existing quantitative security assessment techniques, CTMCs (Continu- ous […]
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InHARD – Industrial Human Action Recognition Dataset in the Context of Industrial Collaborative Robotics
Nowadays, humans and robots are working more closely together. This increases business productivity and product quality, leading to efficiency and growth. However, human and robot collaboration is rather static; robots move to a specific position then humans perform their tasks while being assisted by the robots. In order to get a dynamic collaboration, robots need […]
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Multi-component modeling and classification for failure propagation of an offshore wind turbine
Purpose Improving reliability is a key factor in reducing the cost of wind energy, which is strongly influenced by the cost of maintenance operations. In this context, this paper aims to propose a degradation model that describes the phenomenon of fault propagation to apply proactive maintenance that will act on the cause of failure to […]
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A model-free reinforcement learning approach for the energetic control of a building with non-stationary user behaviour
We consider a system providing a service to a user (smart building, vehicle…) and allowing the user to interact with it. The service provided to the user regulates physical signals of the user’s surroundings (lighting, heating, radio sound,…). The user can interfere with the system to affect the values of those signals to adjust the […]
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A New Dataset of People Flow in an Industrial Site with UWB and Motion Capture Systems
Improving performance and safety conditions in industrial sites remains a key objective for most companies. Currently, the main goal is to be able to dynamically locate both people and goods on the site. Security and access regulation to restricted areas are often ensured by doors or badge barriers and those have several issues when faced […]
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