Underground Disease Detection Based on Cloud Computing and Attention Region Neural Network

Pinjie Xu; Ce Li; Liguo Zhang; Feng Yang; Jing Zheng; Jingwu Feng

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Underground Disease Detection Based on Cloud Computing and Attention Region Neural Network

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摘要

Detecting the underground disease is very crucial for the roadbed health monitoring and maintenance of transport facilities,since it is very closely related to the structural health and reliability with the rapid development of road traffic.Ground penetrating radar(GPR)is widely used to detect road and underground diseases.However,it is still a challenging task due to data access anywhere,transmission security and data processing on cloud.Cloud computing can provide scalable and powerful technologies for large-scale storage,processing and dissemination of GPR data.Combined with cloud computing and radar detection technology,it is possible to locate the underground disease quickly and accurately.This paper deploys the framework of a ground disease detection system based on cloud computing and proposes an attention region convolution neural network for object detection in the GPR images.Experimental results of the precision and recall metrics show that the proposed approach is more efficient than traditional objection detection method in ground disease detection of cloud based system.

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来源
《人工智能杂志（英文）》 |2019年第1期|P.9-18|共10页
作者
Pinjie Xu; Ce Li; Liguo Zhang; Feng Yang; Jing Zheng; Jingwu Feng;
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作者单位

School of Mechanical Electronic&Information Engineering China University of Mining&Technology Beijing 100083 China;

State Key Laboratory of Coal Resources and Safe Mining China University of Mining&Technology Beijing 100083 ChinaSchool of Mechanical Electronic&Information Engineering China University of Mining&Technology Beijing 100083 China;

Computer Science&Engineering Harbin Engineering University Harbin 150001 ChinaComputer Science&Engineering Hong Kong University of Science and Technology Hong Kong China;

State Key Laboratory of Coal Resources and Safe Mining China University of Mining&Technology Beijing 100083 ChinaSchool of Mechanical Electronic&Information Engineering China University of Mining&Technology Beijing 100083 China;

State Key Laboratory of Coal Resources and Safe Mining China University of Mining&Technology Beijing 100083 ChinaStanford University Palo Alto CA 94305-6104 United States;

School of Mechanical Electronic&Information Engineering China University of Mining&Technology Beijing 100083 China;

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原文格式 PDF
正文语种 chi
中图分类计算技术、计算机技术;
关键词
Cloud computing; ground penetrating radar; convolution neural network;

机译：云计算;地面穿透雷达;卷积神经网络;

Underground Disease Detection Based on Cloud Computing and Attention Region Neural Network

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