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5 results on '"Vingerhoeds, Rob"'

1. Regarding the COVID-19 crisis from a systems engineering perspective

Author

Pantano-Calderón, Santiago, Baron, Claude, Chaudemar, Jean-Charles, Vareilles, Élise, Vingerhoeds, Rob, Équipe Méthodes et Algorithmes en Commande (LAAS-MAC), Laboratoire d'analyse et d'architecture des systèmes (LAAS), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT), Équipe Ingénierie Système et Intégration (LAAS-ISI), Département d'Ingénierie des Systèmes Complexes (DISC), Institut Supérieur de l'Aéronautique et de l'Espace (ISAE-SUPAERO), Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT), ISCRAM, Centre National de la Recherche Scientifique - CNRS (FRANCE), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE), Institut National des Sciences Appliquées de Toulouse - INSA (FRANCE), Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), Université Toulouse - Jean Jaurès - UT2J (FRANCE), Université Toulouse 1 Capitole - UT1 (FRANCE), and Pantano-Calderón, Santiago

Subjects
[SPI.OTHER]Engineering Sciences [physics]/Other, [SHS.STAT]Humanities and Social Sciences/Methods and statistics, Autre, [SHS.STAT] Humanities and Social Sciences/Methods and statistics, Modeling, [SHS.GESTION]Humanities and Social Sciences/Business administration, COVID-19, [SHS.GESTION] Humanities and Social Sciences/Business administration, Simulation, Crisis, Holistic approach
Abstract

International audience; In the beginning of 2022, the world is still fighting the crisis caused by the COVID-19 outbreak. The scientific community is still dedicating significant efforts to identify which are the better strategies to mitigate the pandemic and establish how and when to apply them. Modeling and simulation are a common method to replicate and foresee the behavior of the epidemic curve, but traditional analytical models are not capable to explain and reproduce the real evolution of the number of infections and deaths as they only concentrate in the epidemiological aspects of the virus. The COVID-19 crisis has an impact in all fundamental levels of society, and this is the reason why its modeling requires a global perspective and a holistic approach. Though the engineering scope is not common in the study of public health crises, this paper concludes that some engineering tools such as systems analysis and control theory may be the answer to build a high-fidelity model to support the decision-making facing the emergency.

Published
2022

2. Managing and controlling COVID-19 in Lebanon using IoT and Artificial Intelligence

Author

azoury, chadi, Wehbe, Arz, Baron, Claude, Vingerhoeds, Rob, Équipe Ingénierie Système et Intégration (LAAS-ISI), Laboratoire d'analyse et d'architecture des systèmes (LAAS), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT), Institut Supérieur de l'Aéronautique et de l'Espace (ISAE-SUPAERO), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, and Baron, Claude

Subjects
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-SY] Computer Science [cs]/Systems and Control [cs.SY], [INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE], Internet of Things, [INFO.INFO-CE]Computer Science [cs]/Computational Engineering, Finance, and Science [cs.CE], [INFO.INFO-CE] Computer Science [cs]/Computational Engineering, Finance, and Science [cs.CE], [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE], [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [INFO.INFO-IA] Computer Science [cs]/Computer Aided Engineering, [INFO.INFO-ES] Computer Science [cs]/Embedded Systems, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-PF]Computer Science [cs]/Performance [cs.PF], [INFO.INFO-PF] Computer Science [cs]/Performance [cs.PF], Artificial Intelligence, Machine learning, [INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY], [INFO.INFO-ES]Computer Science [cs]/Embedded Systems, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, COVID-19 Lebanon
Abstract

International audience; COVID-19 recently grew as a major problem worldwide and is considered the pandemic of the third century. Among the issues in dealing with this pandemic is the urgency, the bad communication, the decentralization of decision and the mismanagement of this crisis. In order to address these issues, the authors propose the use of Internet of Things and Artificial Intelligence. The Internet of Things proposes several solutions to the aforementioned problems, while using the Genetic Algorithm in AI to calibrate the proposed generalized SEIR mathematical model. This model, when calibrated to the existent recorded and confirmed data in Lebanon, will help predict the number of infected individuals. Thus, it will better prepare for the fight with the virus.

Published
2021

3. ANALYSING THE IMPACTS OF SYSTEM OBSOLESCENCE BASED ON SYSTEM ARCHITECTURE MODELS

Author

Marc, Zolghadri, Vingerhoeds, Rob, Baron, Claude, Cordero, Sophia, Laboratoire QUARTZ (QUARTZ ), Université Paris 8 Vincennes-Saint-Denis (UP8)-Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-SUPMECA - Institut supérieur de mécanique de Paris (SUPMECA)-Ecole Internationale des Sciences du Traitement de l'Information (EISTI), SUPMECA - Institut supérieur de mécanique de Paris (SUPMECA), Institut Supérieur de l'Aéronautique et de l'Espace (ISAE-SUPAERO), Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT), and Gestionnaire HAL, ISAE-Supmeca

Subjects
[SPI]Engineering Sciences [physics], [SPI] Engineering Sciences [physics]
Abstract

International audience

Published
2020

4. Analysing the impact of system obsolescence based on system architecture models

Author

Marc, Zolghadri, Vingerhoeds, Rob, Baron, Claude, Salas-Cordero, Sophia, Baron, Claude, SUPMECA - Institut supérieur de mécanique de Paris (SUPMECA), Institut Supérieur de l'Aéronautique et de l'Espace (ISAE-SUPAERO), Équipe Ingénierie Système et Intégration (LAAS-ISI), Laboratoire d'analyse et d'architecture des systèmes (LAAS), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Laboratoire QUARTZ (QUARTZ ), Université Paris 8 Vincennes-Saint-Denis (UP8)-Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-SUPMECA - Institut supérieur de mécanique de Paris (SUPMECA)-Ecole Internationale des Sciences du Traitement de l'Information (EISTI), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole), and Université de Toulouse (UT)

Subjects
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-SY] Computer Science [cs]/Systems and Control [cs.SY], ComputingMilieux_THECOMPUTINGPROFESSION, Obsolescence, [INFO.INFO-CE]Computer Science [cs]/Computational Engineering, Finance, and Science [cs.CE], [INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE], [INFO.INFO-CE] Computer Science [cs]/Computational Engineering, Finance, and Science [cs.CE], [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE], [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [INFO.INFO-IA] Computer Science [cs]/Computer Aided Engineering, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Systems engineering, [INFO.INFO-ES] Computer Science [cs]/Embedded Systems, [INFO.INFO-PF]Computer Science [cs]/Performance [cs.PF], [INFO.INFO-PF] Computer Science [cs]/Performance [cs.PF], Obsolescence management process, [INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY], [INFO.INFO-ES]Computer Science [cs]/Embedded Systems, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation
Abstract

International audience; Obsolescence is the fact that an entity (physical or logical) is becoming outdated or no longer useful and in this way is considered inappropriate. The objectives of this article are twofold. First, we seek to contribute to the understanding of obsolescence through two conceptual models. They enable, among others, to link the points of view of the external and internal actors of the system. This mapping is fundamental when it comes to solve the re-design problems posed by some obsolescence issues. The obsolescence management process consists of Prepare, Identify, Assess, Analyze, and Implement. The second objective is to offer two support tools for the Identify and Assess phases: House of Obsolescence and System Obsolescence Exposure Analysis. The first allows to map the changes, desired or imposed, by external actors to the critical components and functions of the system architecture. These latter are then analyzed using the second tool whose objective is to assign an obsolescence exposure index to the identified obsolescence issues in order to prioritize them for solution determination during the analysis phase. The tools make extensive use of the modeled system knowledge through the application of System Engineering. The application of the tools is then illustrated through a case study.

Published
2020

5. Data visualization in conceptual design: developing a prototype to support decision making

Author

Xin Yi, claude baron, Vingerhoeds, Rob A., Alessandro Bertoni, Philippe Esteban, Équipe Ingénierie Système et Intégration (LAAS-ISI), Laboratoire d'analyse et d'architecture des systèmes (LAAS), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Département d'Ingénierie des Systèmes Complexes (DISC), Institut Supérieur de l'Aéronautique et de l'Espace (ISAE-SUPAERO), Blekinge Institute of Technology [Karlskrona] (BTH), Laboratoire d'analyse et d'architecture des systèmes [Toulouse] (LAAS), Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UPS), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National Polytechnique [Toulouse] (INP)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UPS), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National Polytechnique [Toulouse] (INP), Blekinge Institute of Technology, Centre National de la Recherche Scientifique - CNRS (FRANCE), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE), Institut National des Sciences Appliquées de Toulouse - INSA (FRANCE), Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), Blekinge Institute of Technology - BTH (SWEDEN), Institut National Polytechnique de Toulouse - INPT (FRANCE), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole), and Université de Toulouse (UT)

Subjects
[SPI.OTHER]Engineering Sciences [physics]/Other, Complex data visualization, Mécanique des fluides, Mechanical Engineering, Conceptual design, conceptual design, complex data visualization, prototype, Maskinteknik, Prototype, Decision making, decision making, [SPI.MECA.MEFL]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph]
Abstract

International audience; In recent years, data visualization has received a lot of attention and widely applicate in many areas. Data is a treasure, a lot of valuable information hidden inside. While visualizing the hidden information concisely and intuitively is a critical task. In this paper, we explore how data visualization could support conceptual design. A specific conceptual design case for improving the fuel efficiency of wheel loader is implemented. By visualizing the complex fuel consumption data comprehensive for engineers to get insights, thus to support the decision making for a new product development. As a result, a table of classifying visual techniques by different features, and a prototype consisted of four approaches step by step to present complex data are proposed.

Published
2018

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