By David L Hall; et al
''Foreword i'm very happy to supply a foreword for this well timed paintings on disbursed fusion. i've been occupied with fusion examine for the final 15 years, serious about reworking info to help more advantageous choice making. in the course of that point, i've got relied seriously at the recommendation of the editors of this booklet and plenty of of the bankruptcy authors to aid set the instructions for Army-focused simple and utilized information fusion tasks. I first met the editors approximately 12 years in the past at an Army-sponsored fusion workshop the place it used to be transparent that the problems of elevated sensors and knowledge assets, besides the creation of web-based info architectures, had ultimately beaten the research group. many of the discussions have been interested by the issues. yet Dave corridor and Jim Llinas started addressing the ideas. They pointed out correct phrases and definitions, defined algorithms for particular fusion projects, addressed a number of the evolving architectural matters, pinpointed key technical obstacles, and proposed instructions for destiny learn. They in actual fact have been long-time specialists within the box; yet, extra importantly, they have been visionary of their acceptance of swiftly evolving developments in info administration and the effect these traits could have at the box of information fusion. it truly is, accordingly, on no account impressive that this, their most recent ebook (along with colleagues), will be occupied with allotted fusion. whereas there are various texts and handbooks on facts fusion as a rule (many written or edited via the editors and authors of this book), there are significant traits that inspire the necessity for this paintings. First, the very suggestion of security operations has dramatically replaced. smooth army missions contain, for instance, coalitionbased counterinsurgency, counternarcotics,''-- Read more...
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Additional resources for Distributed data fusion for network-centric operations
2001. Situations for situation awareness. Proceedings of the ISIF Fourth International Conference on Information Fusion, (FUSION 2001), August 2001, Montreal, Quebec, Canada, pp. 545–552. Lexington-Fayette Urban County Division of Police. com, LexingtonFayette Urban County of Division Police, Crime Map, owned and maintained by Lexington, Kentucky government, June 29, 2012. , D. L. Hall, and J. Llinas. 2008. , Boca Raton, FL: CRC Press. Llinas, J. 2008. Assessing the performance of multisensor fusion processes.
S. S. Department of the Interior, June 28, 2012. Ushahidi. com/, Ushahidi, owned and maintained by Ushahidi, a nonprofit technology company, June 29, 2012. Waltz, E. and J. Llinas. 1990. Multisensor Data Fusion. Norwood, MA: Artech House, Inc. WolframAlpha Computational Knowledge Engine. com/, owned and maintained by Wolfram Alpha Corporation, June 29, 2012. Zakon Group, LLC. 2, by Robert Hobbes Zakon, December 30, 2011. 1 Introduction.....................................................................................................
8) i i i =1 Furthermore, in order to enforce a truly decentralized solution, we assume that each sensor only has knowledge of, and can directly communicate with, the few neighboring agents on whose state its own utility depends. In this way, the complexity of the calculation that the sensor performs depends only on the number of neighbors that it has (and not the total size of the network), and thus we can achieve solutions that scale well. 8 is represented as a bipartite factor graph. Specifically, each sensor is decomposed into a variable node that represents its state, and a function node that represents its utility.
Distributed data fusion for network-centric operations by David L Hall; et al