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332 results on '"Rauzy, Antoine"'

1. Performance Assessment of an Offshore Windmill Farm with AltaRica 3.0

Author

Batteux, Michel, Prosvirnova, Tatiana, Rauzy, Antoine, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Seguin, Christel, editor, Zeller, Marc, editor, and Prosvirnova, Tatiana, editor

Published
2022
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8. Modeling Patterns for the Assessment of Maintenance Policies with AltaRica 3.0

Author

Batteux, Michel, Prosvirnova, Tatiana, Rauzy, Antoine, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Papadopoulos, Yiannis, editor, Aslansefat, Koorosh, editor, Katsaros, Panagiotis, editor, and Bozzano, Marco, editor

Published
2019
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9. Model Synchronization: A Formal Framework for the Management of Heterogeneous Models

Author

Batteux, Michel, Prosvirnova, Tatiana, Rauzy, Antoine, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Papadopoulos, Yiannis, editor, Aslansefat, Koorosh, editor, Katsaros, Panagiotis, editor, and Bozzano, Marco, editor

Published
2019
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10. FDS-ML: A New Modeling Formalism for Probabilistic Risk and Safety Analyses

Author

Yang, Liu, Rauzy, Antoine, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Papadopoulos, Yiannis, editor, Aslansefat, Koorosh, editor, Katsaros, Panagiotis, editor, and Bozzano, Marco, editor

Published
2019
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13. Safety Analysis of a Data Center’s Electrical System Using Production Trees

Author

Bennaceur, Walid Mokhtar, Kloul, Leïla, Rauzy, Antoine, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Bozzano, Marco, editor, and Papadopoulos, Yiannis, editor

Published
2017
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14. Toward Model Synchronization Between Safety Analysis and System Architecture Design in Industrial Contexts

Author

Legendre, Anthony, Lanusse, Agnes, Rauzy, Antoine, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Bozzano, Marco, editor, and Papadopoulos, Yiannis, editor

Published
2017
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27. Application of machine learning to limited datasets: prediction of project success

Author

Bang, Sofie, Aarvold, Magnus, Hartvig, Wilhelm, Olsson, Nils, and Rauzy, Antoine

Subjects
Building and Construction, Computer Science Applications, Civil and Structural Engineering
Abstract

Much research is conducted on the importance of success factors. This study contributes to the body of knowledge by using artificial intelligence (AI), specifically machine learning (ML), to analyse success factors through data from construction projects. Previously conducted studies have explored the use of AI to predict project success and identify important success factors in projects; however, to the extent of the authors’ knowledge, no studies have implemented the same method as this study. This study conducts quantitative analysis on a sample of 160 Norwegian construction projects, with data obtained from a detailed questionnaire delivered to relevant project team members. The method utilises ML through a Random Forest Classifier (RFC). The findings obtained from the analysis show that it is possible to use AI and ML on a limited dataset. Furthermore, the findings show that it is possible to identify the most important success factors for the projects in question with the developed model. The findings suggest that a group of selected processes is more important than others to achieve success. The identified success factors support the theoretically acknowledged importance of thorough and early planning and analysis, complexity throughout the project, leadership involvement, and processes supporting project success.

Published
2022

28. Assessment of expected production of a deep-sea mining system: An integrated model-based systems engineering and discrete event simulation approach

Author

Solheim, Astrid V. (author), Rauzy, Antoine B. (author), Brett, Per Olaf (author), Ellefmo, Steinar (author), Hatling, Tonje (author), Helmons, R.L.J. (author), Asbjørnslett, Bjørn Egil (author), Solheim, Astrid V. (author), Rauzy, Antoine B. (author), Brett, Per Olaf (author), Ellefmo, Steinar (author), Hatling, Tonje (author), Helmons, R.L.J. (author), and Asbjørnslett, Bjørn Egil (author)

Abstract

In this paper, model-based systems engineering (MBSE) and discrete event simulation (DES) are combined to assess the performance of an offshore production system at an early stage. Various systems engineering tools are applied to an industrial case concerning the retrieval of deep-sea minerals, and a simulation engine is developed to calculate the annual production output. A mean production of 1 Million tonnes of ore per year is estimated for an operation in the Norwegian Sea using Monte Carlo simulation. Depending on the limiting design wave height of the marine operations, the estimated production output ranges from 280,000 tonnes to 1.8 Million tonnes per year. The constrained parameter of the production system is particularly the wave height operational limit of the ship-to-ship transfer operation. We present the learning outcome from applying MBSE and DES to this case and discuss important aspects for improved performance., Offshore and Dredging Engineering

Published
2023
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29. An online remedial summer course for new students

Author

Rauzy, Antoine, Biehler, Rolf, Editor-in-chief, Beutelspacher, Albrecht, Series editor, Hefendehl-Hebeker, Lisa, Series editor, Hochmuth, Reinhard, Series editor, Kramer, Jürg, Series editor, Prediger, Susanne, Series editor, Ziegler, Günter M., Series editor, Bausch, Isabell, editor, Bruder, Regina, editor, Fischer, Pascal R., editor, Koepf, Wolfram, editor, Schreiber, Stephan, editor, and Wassong, Thomas, editor

Published
2014
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34. Assessment of expected production of a deep-sea mining system: An integrated model-based systems engineering and discrete event simulation approach

Author

Solheim, Astrid Vamråk, Rauzy, Antoine Bertrand, Brett, Per Olaf, Ellefmo, Steinar Løve, Hatling, Tonje, Helmons, Rudolfus Lambertus Jacobus, and Asbjørnslett, Bjørn Egil

Abstract

In this paper, model-based systems engineering (MBSE) and discrete event simulation (DES) are combined to assess the performance of an offshore production system at an early stage. Various systems engineering tools are applied to an industrial case concerning the retrieval of deep-sea minerals, and a simulation engine is developed to calculate the annual production output. A mean production of 1 Million tonnes of ore per year is estimated for an operation in the Norwegian Sea using Monte Carlo simulation. Depending on the limiting design wave height of the marine operations, the estimated production output ranges from 280,000 tonnes to 1.8 Million tonnes per year. The constrained parameter of the production system is particularly the wave height operational limit of the ship-to-ship transfer operation. We present the learning outcome from applying MBSE and DES to this case and discuss important aspects for improved performance.

Published
2023

44. Revision in extended propositional calculus

Author

Papini, Odile, Rauzy, Antoine, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Goos, G., editor, Hartmanis, J., editor, van Leeuwen, J., editor, Froidevaux, Christine, editor, and Kohlas, Jürg, editor

Published
1995
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