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Intégration énergétique de procédés discontinus à l'aide d'algorithmes génériques.

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Software and the Concurrency Revolution

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Leveraging the full power of multicore processors demands new tools and new thinking from the software industry. Concurrency has long been touted as the "next big thing" and "the way of the future," but for the past 30 years, mainstream software developme ...

ACM2005

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Multi-objective optimisation (MOO) has been used with an equation solver data reconciliation software to develop a tool for sensor system design based on modifying the sensitivity matrix of a simulated process. MOO enables searching for the best trade-off ...

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Engineering of software-intensive systems is concerned with the creation and evolution of systems that shall exhibit desired properties in their execution as well as development environment. In this context, the motivation of this thesis, derived from curr ...

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What tools do we use to develop and debug software? Most of us rely on a full-screen editor to write code, a compiler to translate it, a source-level debugger to correct it, and a source-code control system to archive and share it. These tools originated i ...

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Evolving Genetic Regulatory Networks for Hardware Fault Tolerance

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We present a new approach that is able to produce an increased fault tolerance in bio-inspired electronic circuits. In order to do so, we designed hardware-friendly genetic regulatory networks based on a bio-inspired hardware architecture called POEtic tis ...

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An equation solver data reconciliation software has been used to build a validated model of a waste paper deinking mill, by combining control room measurements and process design specifications. An optimal sampling protocol to validate the model by using o ...

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An equation solver data reconciliation software has been used to build a validated model of a waste paper deinking plant, by combining control rooms measurements and design specifications. An optimal sensor system configuration that allows validating key p ...

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Generic Concern-Oriented Model Transformations Meet AOP

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An analysis of unsupervised neural network models and the use of self-organizing maps in the real-time monitoring of power transformers was carried out. The application of genetic algorithms in a complex optimization problem, the allocation and parameters ...

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