Multidimensional distribution data association algorithm based on DNAzyme Online publication date: Thu, 07-Apr-2022
by Yingying Liu; Xixi Li; Shaofeng Rong; Shimin Guan; Baoguo Cai; Shuo Zhang
International Journal of Biometrics (IJBM), Vol. 14, No. 2, 2022
Abstract: The distribution function of the current multidimensional distribution data association algorithm does not have timeliness, which causes the data to generate interference signals during the distribution process, and correlation trajectory errors. Based on DNAzyme, a multidimensional distribution data association algorithm is proposed. The classification characteristics of mostly distributed data is adopted to extract the characteristic parameters of the data. At the same time, the internal storage structure of different data is strengthened to ensure the safe storage of data and connect the signal between the sensor and the data in time, and as a result, establishes good data communication relationship.
Online publication date: Thu, 07-Apr-2022
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