Xin Guo

ORCID: 0000-0002-0412-521X
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About
Contact & Profiles
Research Areas
  • Educational and Technological Research
  • Human-Automation Interaction and Safety
  • Advanced Technologies in Various Fields
  • Autonomous Vehicle Technology and Safety
  • Anomaly Detection Techniques and Applications
  • IoT and GPS-based Vehicle Safety Systems
  • Air Quality Monitoring and Forecasting
  • Ergonomics and Musculoskeletal Disorders

China Automotive Technology and Research Center
2021-2022

Abstract In order to better adapt the development trend of city, new energy vehicles are widely used fit concept green transportation. As focus smart city development, big data is indispensable for its application in vehicle guarantees, especially maintenance and machinery guarantees. operation vehicles, multi-source heterogeneous technology extremely important. Based on this research background, paper introduces constructs fault feature vector vehicle, gives a time domain frequency fusion...

10.1088/1742-6596/1865/2/022034 article EN Journal of Physics Conference Series 2021-04-01

Nowadays, the development of automobiles towards electrification, intelligence, networking and sharing has become focus attention. As a direct interaction window between people vehicles, form function automobile cabins are also constantly upgrading. The mechanical button type with driving control as core becoming more intelligent innovative. relatively advanced technology at present, 3D makes car design production intelligent, an space integrating "travel, life social interaction", promoting...

10.1145/3582935.3583022 article EN 2022-11-04

In the face of global warming, air pollution, and other difficulties, electric vehicles have become an industry strongly supported by various countries due to their good environmental protection characteristics. context big data, people are exposed more information, convenience brought data is also increasing. Based on this background, development green intelligent getting faster faster. This paper aimed at studying application machine learning algorithms in consumption trends data. proposes...

10.1155/2022/4436016 article EN Wireless Communications and Mobile Computing 2022-07-27
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