Unknown

Dataset Information

Analyses of unpredictable properties of a wind-driven triboelectric random number generator.


ABSTRACT: Wind-driven triboelectric nanogenerators (W-TENGs) are a promising candidate for an energy harvester because wind itself possesses unexhausted, ubiquitous, and clean properties. W-TENG has also been used as a random number generator (RNG) due to the inherent chaotic properties of wind that is also an entropy source. Thus, a W-TENG which simultaneously generates both power and true random numbers with a two-in-one structure, is a wind-driven RNG (W-RNG) like the Janus. However, a root cause of W-RNG unpredictability has not been elucidated. In this work, the unpredictability, which is essential and critical for an RNG, is statistically and mathematically analyzed by auto-correlation, cross-correlation, joint entropy, and mutual information. Even though the overall shape of the total output

SUBMITTER: Kim MS 

PROVIDER: S-EPMC10547768 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature