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This increasing convergence between postal products and telecom applications is a new phenomenon in the communications environment: Postal operators provide new services on telecom infrastructures, telecom infrastructures are likely to substitute last mile ...
In this paper we address the problem of driving a group of agents towards a consensus point when the agents have a discrete-time single- or double-integrator dynamics and the communication network is time-varying. We propose decentralized Model Predictive ...
The results of a test series on the punching behavior of slabs with varying flexural reinforcement ratios and without transverse reinforcement are presented. The aim of the tests was to investigate the behavior of slabs failing in punching shear with low r ...
By comparing microscopic traffic flow models with a different number of phases in the context of a simple scenario, the similarities as well as the differences of the various traffic flow models can be discussed. It turns out that there is a certain range ...
This increasing convergence between postal products and telecom applications is a new phenomenon in the communications environment: Postal operators provide new services on telecom infrastructures, telecom infrastructures are likely to substitute last mile ...
We demonstrate a hard-x-ray microscope that does not use a lens and is not limited to a small field of view or an object of finite size. The method does not suffer any of the physical constraints, convergence problems, or defocus ambiguities that often ari ...
Transactional memory (TM) is expected to become a widely used parallel programming paradigm for multi-core architectures. To reach this goal, we need tools that do not only help develop TMs, but also test them and evaluate them on a wide range of workloads ...
This paper describes the robot vision track that has been proposed to the ImageCLEF 2010 participants. The track addressed the problem of visual place classification, with a special focus on generalization. Participants were asked to classify rooms and are ...
This paper presents a novel distributed estimation algorithm based on the concept of moving horizon estimation. Under weak observability conditions we prove convergence of the state estimates computed by any sensor to the correct state even when constraint ...
This paper presents a novel distributed estimation algorithm based on the concept of moving horizon estimation. Under weak observability conditions we prove convergence of the state estimates computed by any sensor to the correct state even when constraint ...
