1,721,142 research outputs found
Mutational analysis of the HGSNAT gene in Italian patients with mucopolysaccharidosis IIIC (Sanfilippo C syndrome)
No full textFedele AO, Filocamo M, Di Rocco M, et al. Mutational analysis of the HGSNAT gene in Italian patients with mucopolysaccharidosis IIIC (Sanfilippo C syndrome). Human Mutation. 2007;28(5):523
Sensor networks localisation using distributed Extended Kalman Filter
No full textIn recent years sensor networks have interested fields such as environment monitoring, surveillance and other distributed extraction data applications. This interest has been based on the decentralized approach in treating the information and it is still a challenge to manipulate such streams of data when the dimension of the net becomes large despite computational capabilities and consumption constraint. In most of applications a good estimate of the position of the nodes is required to fuse information respect to a common frame. This need requires the network to localize itself by proper algorithms to minimize the computational costs and communications between nodes due to the hardware characteristics. These difficulties can be mitigated when the network is still; in this way low time convergence in the algorithm is not required because no dynamic constraints are present and the localization process can be more accurate. Exploiting the properties of still network, a distributed Extended Kalman Filter is proposed in this paper
A Networked Transferable Belief Model approach for Distributed Data Aggregation - Static Version
No full textThis paper investigates the data aggregation problem for a multi-agent system. In this framework, agents are assumed to be independent reliable sources which collect data and collaborate to reach a common knowledge. In particular, agents are assumed to dynamically gather data over time, i.e., a dynamic scenario. A protocol for distributed data aggregation which is proved to converge to the basic belief assignment (BBA) given by a centralized aggregation based on the Transferable Belief Model (TBM) is provided
SENSOR NETWORKS LOCALISATION AND TRACKING VIA CONSENSUS UPDATE
No full textIn this paper,we propose a distributed Kalman Filter based algorithm,known in literature as Consensus Filter,applied on a sensor network. Distributing the estimation of the state of the nodes, which can be still or dynamic,is a crucial target respect to computation and energetic capabilities of typical commercial nodes. After introducing the general and analytic concepts of this filter, we show simulations results and real data based on experiments
Formation control through environment pattern recognition for a multi-robot architecture
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