Automated Design: A Journey Across Modelling, Optimization, and Education
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[...] During this project, the fusion feasibility of chips produced for other applications have been tested and some critical fusion parameters have been defined. Then, with the help of FEM simulations, a new chip design has been proposed to overcome the p ...
A method that exploits an information theoretic framework to extract optimized audio features using video information is presented. A simple measure of mutual information (MI) between the resulting audio and video features allows the detection of the activ ...
Life cycle assessment (LCA) is a tool for assessing the environmental impact of services or products. This project wants to explore the potential contribution of LCA for contaminated site management, via the comparison of several remediation strategies (ex ...
ERP systems provide information management and analysis to industrial companies and support their planning activities. They are currently mostly based on theoretical values (averages) of parameters and not on the actual, real shop floor data, leading to di ...
Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2009
The goal of this project is to measure the mechanical properties of a porous polymeric scaffold. For this purpose, the deformation of the scaffold will be visualized using micro-computed tomography (µCT). We have a compression machine which operates inside ...
The thesis analyzes the interaction region of the Large Hadron Collider (LHC). It proposes, studies and compares several upgrade options. The interaction region is the part of the LHC that hosts the particle detectors which analyze the collisions. An upgra ...
In this work we present the concept of Uncertainty Feature Optimization (UFO), an optimization framework to handle problems due to noisy data. We show that UFO is an extension of standard methods as robust optimization and stochastic optimization and we sh ...
In this work we present the concept of Uncertainty Feature Optimization (UFO), an optimization framework to handle problems due to noisy data. We show that UFO is an extension of standard methods as robust optimization and stochastic optimization and we sh ...
Dynamic Programming OPtimization (DPOP) is an algorithm proposed for solving distributed constraint optimization problems. In this algorithm, Hypercubes are used as the format of the messages exchanged between the agents. Then, Hybrid-DPOP (H-DPOP), a hybr ...
This paper presents an approach to multi-objective signal control using fuzzy logic. The signal control uses fuzzy logic where the membership functions are optimised according to the Bellman-Zadeh principle of fuzzy decision-making. This approach is both p ...
