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Mobile crowd sensing has the potential to acquire massive data from places and address large-scale societal problems. However, most currently existing crowd sensing systems suffer from insufficient participants. Therefore, incentive design for crowd sensing is essential and urgent. In this paper, different from the auction-based and server-dominant incentives, we design a personalized incentive, PIE,...
The choice of the distribution model and the consistency of the result are very important for FastSLAM. This paper provides a method which combines the auxiliary variable model with FastSLAM and, uses Stirling Interpolation to approximate the nonlinear functions. It overcomes the drawbacks of the FastSLAM by using a model ignoring the measurement data and the approximation error for nonlinear functions...
Objective-type total internal reflection fluorescence technique and Gaussian fit single particle tracking algorithm have been used to study the constrained Brownian motion characteristics of single fluorescent microspheres of 40 nm diameter in real-time. Three-dimensional tracking has been realized from the two-dimensional images by utilizing the exponential decay of the fluorescence intensity excited...
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