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In this paper, we present Ishtar, a lightweight and versatile collection of software for remote data access and monitoring. The monitoring architecture is crucial during the development and experimentation of autonomous systems like Micro Air Vehicles. Ish ...
We present a method to obtain the frequency spectrum of a signal with a nonlinear dynamical system. The dynamical system is composed of a pool of adaptive frequency oscillators with negative mean-field coupling. For the frequency analysis, the synchronizat ...
The resource constrained elementary shortest path problem (RCESPP) arises as a pricing subproblem in branch-and-price algorithms for vehicle-routing problems with additional constraints. We address the optimization of the RCESPP and we present and compare ...
We present an optimization algorithm we developed for a software provider of planning tools for distribution logistics companies. The algorithm computes a daily plan for a heterogeneous fleet of vehicles, that can depart from different depots and must visi ...
In this thesis we consider some routing problems and exact algorithms to solve them based on the branch-and-price framework. We consider three variants of the Vehicle Routing Problem (VRP): the Capacitated Vehicle Routing Problem (CVRP): is the basic and m ...
The invention concerns a wireless data communication method, wherein a transmitter device (2) having a first broadband antenna (27) transmits ultra wideband coded data signals to a receiver device (3) having a second broadband antenna (37) for receiving th ...
We propose an original approach called “stencil-masked ion implantation process” to perform a spatially localized synthesis of a limited number of Si nanoparticles (nps) within a thin SiO2 layer. This process consists in implanting silicon ions at ultra-lo ...
Current simulation-sampling techniques construct accurate model state for each measurement by continuously warming large microarchitectural structures (e.g., caches and the branch predictor) while functionally simulating the billions of instructions betwee ...
When vehicle routing problems with additional constraints, such as capacity or time windows, are solved via column generation and branch-and-price, it is common that the pricing subproblem requires the computation of a minimum cost constrained path on a gr ...
Column generation has been intensively used in the last decades to compute good quality lower bounds for combinatorial problems reformulated through Dantzig-Wolfe decomposition. In this paper we propose a novel framework to cope with problems in which the ...
