Results 241 to 250 of about 708,924 (281)
Some of the next articles are maybe not open access.
Distributed Paraconsistent Belief Fusion
2013The current paper is devoted to belief fusion when information sources may deliver incomplete and inconsistent information. In such cases paraconsistent and commonsense reasoning techniques can be used to complete missing knowledge and disambiguate inconsistencies.
Barbara Dunin-Kęplicz, Andrzej Szałas
openaire +1 more source
Rumor-robust distributed data fusion
2010 IEEE Conference on Multisensor Fusion and Integration, 2010We propose a novel Bayesian distributed data fusion methodology robust to the problem of rumor, i.e., of re-circulation of information accross the loops of a sensing & processing network. This problem is particularly important in mobile sensor networks where the communication graph is dynamically modified in an unpredictable manner.
Maria-Joao Rendas, Jose Manuel Leitao
openaire +1 more source
Distributed fusion in sensor networks
IEEE Signal Processing Magazine, 2006This paper presents an overview of research conducted to bridge the rich field of graphical models with the emerging field of data fusion for sensor networks. Both theoretical issues and prototyping applications are discussed in addition to suggesting new lines of reasoning.
M. Cetin +6 more
openaire +1 more source
Advanced algorithms for distributed fusion
SPIE Proceedings, 2008The US Military has been undergoing a radical transition from a traditional "platform-centric" force to one capable of performing in a "Network-Centric" environment. This transformation will place all of the data needed to efficiently meet tactical and strategic goals at the warfighter's fingertips.
A. Gelfand +6 more
openaire +1 more source
Distributed Information Fusion Particle Filter
2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics, 2014The method of particle filters as a main solution for non-linear is widely used in digital communication, target tracking, automatic control and signal processing region. In order to eliminate the existing problems such as low precision and low stability, the information fusion is introduced to fuse multiple different sensor measurement information ...
Lin Mao, Da Wei Yang
openaire +1 more source
Networking In Distributed Decision Fusion
SPIE Proceedings, 1988The networking problem in distributed fusion system is considered. At a given time instant, the decisions from some sensors may not be available at the fusion center due to the transmission delays. Assuming that the fusion center has to make a decision based on the data from the rest of the sensors, provided that at least one peripheral decision has ...
Stelios C. A. Thomopoulos, Lei Zhang
openaire +1 more source
Distributed Information Fusion Structure Based on Data Fusion Tree
Advanced Materials Research, 2011A distributed information fusion structure based on data fusion tree is built to realize precise localization and efficient navigation for the mobile robot. The multi-class, multi-level information from robot and environment is fused using different algorithms in different levels, and make the robot have a deeper understanding to the whole environment.
Ying Hua Xue, Jing Li
openaire +1 more source
Distributed Bayesian hypothesis testing with distributed data fusion
IEEE Transactions on Systems, Man, and Cybernetics, 1988Summary: The paper considers the problem of distributed Bayesian hypothesis testing with distributed data fusion. In the distributed data fusion configuration, some signal processing is done locally at the sensors and the partial results are transmitted to the other sensors for further processing and fusion.
Chair, Zeineddine, Varshney, Pramod K.
openaire +2 more sources
Distributed Detection Theory and Data Fusion
1994Abstract : Design of distributed order statistic constant false alarm rate (OS-CFAR) detection systems with data fusion was investigated. Its performance for different fusion rules and for a variety of nonhomogeneous backgrounds such as clutter edges and interfering targets was analyzed.
openaire +1 more source
Theories in Distributed Decision Fusion
IFAC Proceedings Volumes, 1991Abstract Some fundamental results related to binary and multi-level decision logic distributed decision (evidence) fusion (DD(E)F) are presented. New asymptotic performance results for binary and multi-level Neyman-Pearson (N-P) DD Farederived. Acomparative resultbetween N-P DDF and Dempster-Shafer DEF in the framework of the Generalized Evidence ...
openaire +1 more source