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The paper shows the estimation filter architecture and explicitly addresses the data fusion process.
Fuzzy logic offers an enabling technology for automated quantitative and qualitative information in the data fusion process.
Fig. 8 Directional data fusion process.
The unnecessary data transmission can be reduced by data fusion process of cluster head node.
Although directional data fusion process happens at both encoder and decoder sides, it has different targets.
A graphic representation of the proposed directional data fusion process at the decoder side is shown in Fig. 8.
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The emphasis of this paper is to design a performance evaluation methodology for Level 1 distributed data fusion processes.
However, there is little empirical research been done so far to define a rigorous, technically fair, yet affordable method for performance evaluation for data fusion processes.
Data fusion processes could be utilized to integrate multiple data sources, such as VGI, videos from traffic cameras, and ground data gathered by traditional methods, to increase accuracy and provide a more complete representation than what would be obtained from single data sources.
Since plagiarism is a complex problem, frequently tackled at different levels, our system applies algorithms in order to perform an information fusion process from multi data source to all these levels.
Notice that a data-fusion process is implicit in (10), because all the available measurements are combined to achieve the localization of the node.
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data conjunction process
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