Publications
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Split-Federated Reinforcement Learning for IoMT Data and Task Management in Edge-Fog-Cloud Infrastructure
Workload management in edge-fog-cloud infrastructure for the Internet of Medical Things (IoMT) involves significant costs and difficulties, primarily due to the challenge of managing tasks and the unpredictability of data generated by IoMT devices while processing real-time patient health states. Deep Reinforcement Learning (DRL) shows promise in efficiently addressing dynamic data placement and task offloading. […]
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Strategic Predictive Maintenance for Internet System Security and Risk Management: A Roadmap
Recent technological advancements have profoundly transformed companies and businesses, enabling them to achieve high levels of performance. Today, system and network infrastructures are crucial and indispensable, requiring continuous corrections and maintenance to ensure superior security, reliability, and availability. However, various risks related to software, hardware, and malicious threats can cause failures, attacks, data loss, service […]
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Energy optimization of building design using Genetic Algorithm and RMP ranking method
This study presents a simulation-based multi-objective optimization approach for identifying the optimal building envelope design to minimize energy consumption (for cooling and for heating), and carbon emissions. In this regard, the implemented methodology includes three basic phases: building energy simulation (EnergyPlus), optimization (non-dominant sorting genetic algorithm NSGA II), and multi-criteria decision analysis. The methodology is […]
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WiFi-Visual Data Fusion For Indoor Robot Localization
In this paper, we propose a WiFi-Visual robot localization method for limiting the unbounded error of imageonly localization due to visual environment similarity. The localization problem is modeled as a classification problem based on the WiFi-Visual data collected at labelled positions. The heterogeneous WiFi-Visual data is harmonized by representing the WiFi features in image form […]
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Conception and calibration of low-cost diagnostic tool for the evaluation of the thermal, acoustic and visual comforts in buildings
Abstract The comfort of indoor occupants is the primary factor infl uencing the energy consumption in a building. Even if it is a highly subjective notion, a better understanding of its links with the environmental parameters represents a promising way to optimize building energy consumption. The environmental physical parameters can be easily measured but usually […]
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Analysis of one-dimensional structures using Lie groups
This article presents a formulation for one-dimensional structures. It uses the structure of Lie groups and the associated differential calculus to describe deformations and the dynamic equation of the structure. Three levels of equation setting are explored: level one is the most abstract where a single equation is obtained using the Lie algebra of the […]
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Cooperation and synchronization of robotic tasks using a digital twin
Industry 4.0 marks a significant advancement in the manufacturing process by integrating advanced digital technologies. Robotics is one of the nine pillars defining the contours of Industry 4.0. These robots must be able to perform tasks safely, especially when working simultaneously in shared areas. However, robots only have a partial view of the production environment […]
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Leveraging synthetic data to empower AI models to predict photovoltaic energy production to aid in the decarbonization of buildings
This research explores the use of synthetic data to enhance the accuracy of machine learning models predicting the energy production of photovoltaic (PV) systems integrated into buildings. We address the challenge of data scarcity in real-world scenarios by generating a large and diverse dataset using BIMSolar, encompassing a wide range of building types, PV panel […]
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From Data to Energy Management: Evaluating and Analysis of Univariate and Multivariate AI Models for Photovoltaic Systems in Smart Grids
Protecting our environment necessitates a significant shift towards renewable energy sources. Among these, photovoltaic (PV) energy is one of the most widely used. However, the dependence of this energy on sunlight presents challenges in predicting energy production. So, it is crucial to have methods that allow us to predict the PV energy production of our […]
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Strength Retention of Carbon Fiber/Epoxy Vitrimer Composite Material for Primary Structures: Towards Recyclable and Reusable Carbon Fiber Composites
Recently, the growth of the recyclability of carbon fiber reinforced polymer (CFRP) composites has been driven by environmental and circular economic aspects. The main aim of this research work is to investigate the strength retention of a bio-based vitrimer composite reinforced with carbon fibers, which offers both recyclability and material reusability. The composite formulation consisted […]
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Open innovation pratices and environmental sustainability: a systematic literature review
The concept of sustainability is increasingly recognized as a major imperative in the face of environmental challenges. Although sustainable practices meet government standards, their implementation is hampered by a number of obstacles, such as a lack of knowledge or sustainable technologies. In this context, innovation plays a central role, in particular open innovation, which is […]
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Modeling and simulation of worker profiles in production systems based on punctuality, fatigue, and experience
The integration of worker behavior profiles into production systems is essential for improving performance and ensuring efficiency in terms of productivity, quality, safety, and worker well-being. This paper presents a model that simultaneously represents worker punctuality, fatigue, and experience through simulation. A Markov chain is employed to model punctuality, while fatigue and experience are captured […]
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