对风力驱动的 triboelectric 随机数发生器不可预测性能的分析
Moon-Seok Kim1,2, Il-Woong Tcho1, Yang-Kyu Choi3
1School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea.
Scientific reports
|October 3, 2023
概括
风力驱动的 triboelectric 纳米发电机 (W-TENGs) 提供双重功能,收集能量并产生真正的随机数字. 本研究分析了风力驱动的随机数发生器 (W-RNGs) 对安全,自动供电系统的不可预测性.
科学领域:
- 收集能源 收集能源
- 随机数生成器 随机数生成器
- 纳米技术 纳米技术
背景情况:
- 风驱动的 triboelectric 纳米发电机 (W-TENGs) 是由于风的清洁和无处不在的性质而有效的能源收获器.
- W-TENG还可以作为随机数发生器 (RNG) 发挥作用,利用风的固有混乱特性作为源.
研究的目的:
- 阐明和统计分析风驱动RNG (W-RNG) 中不可预测性的根本原因.
- 为了验证W-TENGs作为同时发电机和真正的随机数源的双重功能.
主要方法:
- 使用自相关,交叉相关,联合和相互信息的统计和数学分析.
- 从模拟输出到数字输出的信号离散的调查.
- 使用模拟到数字转换器硬件评估数据位减少 (4位从8位).
主要成果:
- 来自W-RNG的分离数字信号表现出不可预测性,尽管模拟信号的正弦形外观.
- 部分采用4位数据显著提高了生成的随机数字的不可预测性.
- 在生成不可预测的随机数字方面,W-RNG表现出可靠的性能.
结论:
- 作为W-TENG的W-RNG提供了一种可行的方法,可以同时生成真正的随机数和收集能量.
- 这项技术可以提高无人机等户外电气系统的安全性和自动供电能力.
- 了解和优化W-RNG不可预测性对于安全和自主应用程序至关重要.
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