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Currently, for manufacturing UHF RFID passive tags, the online inspection mechanism is very simple. This mechanism tries to read tag IDs in the near field, and hence validates tag’s usability. For UHF RFID applications, tag usability is a very rough indicator and cannot characterize the performance of a tag accurately. In practice, effective reading distance is the key performance index of a tag. This study proposes chip’s turn-on power approach to characterize the effective reading distance of UHF RFID passive tags. The experimental results presented in this paper demonstrated the feasibility of this approach. Moreover, in comparison with the large-scale setup, this mini-scale setup produces a smaller error in the estimation of the effective reading distance. Using a mini anechoic chamber, the mini-scale setup can be adopted in practice for online tag performance inspection to grade tag’s compliance with effective reading distance.
The difficulty of the prediction
of military aircraft purchase price lies in the small sample data, and the sample
data have the complicated non-linear characteristics. By analyzing the influence
of parameters of aircraft purchase price, SVR is proposed to predict the aircraft
purchasing price model, and uses the model to predict the aircraft purchase price.
The calculation results show that the prediction of the purchase price to establish
military aircraft model has higher prediction accuracy.