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多路通信交互信息安全性深度识别系统设计 被引量:2
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作者 刘春宝 王枫 尹晶 《现代电子技术》 2021年第15期23-27,共5页
传统多路通信交互信息安全性深度识别系统存在识别错误率较高的问题,导致识别时间过长。为解决该问题,设计新的多路通信交互信息安全性深度识别系统。系统硬件由数据采集器、数据识别器、协调器和通信器组成,通过CC2430芯片实现信息识别... 传统多路通信交互信息安全性深度识别系统存在识别错误率较高的问题,导致识别时间过长。为解决该问题,设计新的多路通信交互信息安全性深度识别系统。系统硬件由数据采集器、数据识别器、协调器和通信器组成,通过CC2430芯片实现信息识别,引入RS 485总线实现多路交互数据的通信。利用命令编码、二进制冲突制裁、数据解码、安全识别、数据处理实现软件设计。根据硬件以及软件的设计实现多路通信交互信息安全性深度识别系统的设计。实验结果表明,所设计系统能够有效降低识别错误率,缩短识别时间,具有良好的应用性能。 展开更多
关键词 系统设计 安全性识别 交互信息 多路通信 数据通信 软件设计
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An attribute recognition model for safe thickness assessment between concealed karst cave and tunnel 被引量:16
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作者 HUANG Xin LI Shu-cai +5 位作者 XU Zhen-hao GUO Ming SHI Xue-song GAO Bin ZHANG Bo LIU Lang 《Journal of Central South University》 SCIE EI CAS CSCD 2019年第4期955-969,共15页
An attribute recognition model for safe thickness assessment between a concealed karst cave and a tunnel is established based on the attribute mathematic theory.The model can be applied to carrying out risk classifica... An attribute recognition model for safe thickness assessment between a concealed karst cave and a tunnel is established based on the attribute mathematic theory.The model can be applied to carrying out risk classification of the safe thickness between a concealed karst cave and a tunnel and to guarantee construction’s safety in tunnel engineering.Firstly,the assessment indicators and classification standard of safe thickness between a concealed karst cave and a tunnel are studied based on the perturbation method.Then some attribute measurement functions are constructed to compute the attribute measurement of each single index and synthetic attribute measurement.Finally,the identification and classification of risk assessment of safe thickness between a concealed karst cave and a tunnel are recognized by the confidence criterion.The results of two engineering application show that the evaluation results agree well with the site situations in construction.The results provide a good guidance for the tunnel construction. 展开更多
关键词 concealed karst cave karst tunnel safe thickness attribute recognition method
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