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This review discusses some issues related to the use of simulation in transportation analysis. Potential pitfalls are identified and discussed. An overview of some methods relevant to the use of an advanced simulation tool in an optimization context is als ...
In this paper we present a certified reduced basis (RB) framework for the efficient solution of PDE-constrained parametric optimization problems. We consider optimization problems (such as optimal control and optimal design) governed by elliptic PDEs and i ...
Binary keypoint descriptors provide an efficient alternative to their floating-point competitors as they enable faster processing while requiring less memory. In this paper, we propose a novel framework to learn an extremely compact binary descriptor we ca ...
The aim of this master thesis is to study and develop a stabilized reduced basis method suitable for the approximation of the solution of parametrized advection-diffusion PDEs with high Péclet number, that is, roughly, the ratio between the advection coeff ...
The project consisted of two goals: to design and fabricate SAW sensors on lithium niobate chips with the best resolution photolithography in CMi and to study as many different devices as possible during the first fabrication runs to find the best layouts ...
During TBM tunneling at the great depth, problems such as high in situ stress, groundwater inflow and fractured rock masses are main reasons of the geotechnical risk occurrence in TBM tunneling. Thus it is necessary to modify TBM and optimize TBM operation ...
The web is a complicated world where users are demanding and where small optimizations can make a big difference. Users want the information fast, but they also want the best quality. In terms of images, there is a well documented solution to that; Virtual ...
This review discusses some issues related to the use of simulation in transportation analysis. Potential pitfalls are identified and discussed. An overview of some methods relevant to the use of an advanced simulation tool in an optimization context is als ...
In dynamic optimization problems, the optimal input profiles are typically obtained using models that predict the system behavior. In practice, however, process models are often inaccurate, and on-line adaptation is required for appropriate prediction and ...
Methods for tracking an object have generally fallen into two groups: tracking by detection and tracking through local optimization. The advantage of detection-based tracking is its ability to deal with target appearance and disappearance, but it does not ...