Abstract-Under the currently trend of the library collection quantity increasingly, the book disordered problem became more common which caused the reader too hard to find a book that they want. To solve these problems, this paper design the accurate location algorithm based on RFID intelligent bookshelf, and set the algorithm model parameters. Through the simulation analysis , the location algorithm improves the positioning accuracy effectively , lower the system cost complexity, improve the borrowing efficiency of the readers.

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Incorporating statistical characteristics of stimuli in perceptual processing can be highly beneficial for reliable estimation to overcome noisy sensory measurements but may generate perceptual bias. According to Bayesian inference, perceptual biases arise from integrating non-uniform internal priors with noisy sensory inputs. We used a Bayesian observer model to derive biases and priors in hue perception based on discrimination data for hue ensembles with varying levels of chromatic noise. For isoluminant stimuli with hue defined by azimuth angle in cone-opponent color space, discrimination thresholds showed a bimodal pattern, with lowest thresholds near a non-cardinal blue-yellow axis that aligns closely with the variation of natural daylights. Perceptual biases showed zero crossings around this axis, indicating repulsion away from yellow and attraction towards blue. The results could be explained by the Bayesian observer model through a non-uniform prior with a preference for blue. Our results indicate that observers exploit knowledge of colors in natural environments in visual processing for hue perception.