基于机器学习的电磁辐射数据库保护技术

Xuan-Chuan Cao, Bingchen Ge, Mengxue Li, Hai‐Ping Wang, Jiuchun Ren
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引用次数: 0

摘要

船舶和飞机在航行过程中有时会受到较强的电磁辐射,这些电磁辐射总是通过耦合对其电子设备造成一定的损害,因此对设备的保护就变得极其重要。然而,在强电磁辐射效应测试中存在着数据管理繁琐、数据不规范等棘手问题。因此,将强电磁辐射效应与数据库技术相结合,通过机器学习对数据进行分析,为其保护过程提供可行的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Database Protection Techniques for Electromagnetic Radiation Based on Machine Learning
Ships and aircraft sometimes suffered strong electromagnetic radiation during navigation, which always causes certain damage to their electronic equipment through coupling, so the protection of devices has become extremely important. However, there are thorny problems in the test of strong electromagnetic radiation effect, such as elaborate data management, non-standard data and so on. Therefore, the strong electromagnetic radiation effect and database technology is combined to analyze the data through machine learning, to provide a feasible solution for the protection process of them.
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