应用于MECA静电计的智能车载自适应传感进化机制

D. Keymeulen, A. Stoica, M. Buehler, R. Zebulum, V. Duong
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引用次数: 1

摘要

例如,对环境条件未知的彗星和行星的探测任务所需要的现场探测,最近采用了新的想法,例如使用受生物学启发的机制来适应硬件传感器。将进化启发的形式化方法应用于硬件设计和自配置,产生了可进化硬件(EHW)的概念。EHW是指通过进化/遗传重构机制对电子硬件进行自我重构。在本文中,我们描述了智能车载自适应传感的有效机制的初步发展,使用可进化的硬件自适应控制可重构预处理模拟电子设备,这将导致更高质量的精益数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evolutionary mechanisms for smart on-board adaptive sensing applied to the MECA electrometer
In-situ exploration as required for example by missions to comets and planets with unknown environmental conditions, has recently been approached with new ideas, such as the use of biology-inspired mechanisms for hardware sensor adaptation. The application of evolution-inspired formalisms to hardware design and self-configuration lead to the concept of evolvable hardware (EHW). EHW refers to self reconfiguration of electronic hardware by evolutionary/genetic reconfiguration mechanisms. In this paper we describe the initial development of efficient mechanisms for smart on-board adaptive sensing, adaptively controlling the reconfigurable pre-processing analog electronics using evolvable hardware, which will lead to higher quality, lean data.
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