Xuchao Chai

ORCID: 0000-0001-5016-2954
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About
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Research Areas
  • Distributed and Parallel Computing Systems
  • earthquake and tectonic studies
  • Seismology and Earthquake Studies
  • Earthquake Detection and Analysis
  • Geological Modeling and Analysis
  • Fire effects on ecosystems
  • Medical Image Segmentation Techniques
  • Cloud Computing and Remote Desktop Technologies
  • Seismic Waves and Analysis
  • Evacuation and Crowd Dynamics
  • Scientific Computing and Data Management
  • COVID-19 diagnosis using AI
  • Anomaly Detection Techniques and Applications
  • Advanced Image and Video Retrieval Techniques
  • Cloud Computing and Resource Management
  • Fire Detection and Safety Systems
  • Advanced Vision and Imaging

Second Institute of Oceanography
2022

Ministry of Natural Resources
2022

California Earthquake Authority
2021

For storage and recovery requirements on large-scale seismic waveform data of the National Earthquake Data Backup Center (NEDBC), a distributed cluster processing model based Kafka message queues is designed to optimize inbound efficiency stored in HBase at NEDBC. Firstly, compare characteristics big architectures with that traditional disk array architectures. Secondly, realize analysis periodic truncation, write NoSQL record form through Spark Streaming cluster. Finally, test read/write...

10.1109/access.2020.2976660 article EN cc-by IEEE Access 2020-01-01

In order to cope with the problems of high frequency and multiple causes mountain fires, it is very important adopt appropriate technologies monitor warn fires through a few surface parameters. At same time, existing mobile terminal equipment insufficient in image processing storage capacity, energy consumption data transmission process, which requires calculation unloading. For this circumstance, first, hierarchical discriminant analysis algorithm based on feature extraction introduced,...

10.1371/journal.pone.0232433 article EN cc-by PLoS ONE 2020-05-27

An earthquake emergency command system is designed based on cloud computing and the Internet of Things (IoT) to mitigate slow information acquisition, low processing efficiency, weak storage communication ability in rescue. First, technology introduced, a traditional analyzed comprehensively. Then, characteristics midwave infrared remote sensing data are explored before after recent earthquakes China satellite data. Subsequently, new built IoT along with from sensing. Finally, feasibility...

10.1109/access.2020.3019833 article EN cc-by IEEE Access 2020-08-27

For the mosaicking of multiple remote sensing images, obtaining optimal stitching line in overlapping region is a key step creating seamless mosaic image. However, for very large computation finding seamlines involves huge amount image pixels. To handle this issue, we propose stepwise strategy to obtain pixel-level lines images via an upscaling–downscaling sampling procedure. First, resolution reduced and graph cut algorithm applied find energy-optimal seamline Then, stripe along preliminary...

10.3390/rs15010089 article EN cc-by Remote Sensing 2022-12-24

In view of the shortcomings traditional manual means GPS field mapping data in earthquake field, quality management is inefficient. This paper develops original platform based on desktop virtual observation management, reporting, and archiving. Based research content this paper, a set seismic system software virtualization was designed developed to solve inconvenience caused by complex operation process service. The results will effectively improve efficiency measurement inspection.

10.1109/iaeac47372.2019.8997660 article EN 2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) 2019-12-01

Abstract Highly similar waveforms recorded from repeating earthquakes can be utilized to evaluate the data quality of a seismic station. We used hypothesis testing method establish detection model based on earthquakes. The effectiveness was verified by using pair earthquakes, which occurred in northeastern Japan 20 March 2021 (Mw=7.0) and 1 May (Mw=6.9), 109 stations Global Seismographic Network. A total 842 permanent broadband mainland China were evaluated this model. Eighteen anomalies...

10.1785/0220210303 article EN Seismological Research Letters 2022-04-13

Earth and Space Science Open Archive This work has been accepted for publication in Geophysical Research Letters. Version of RecordESSOAr is a venue early communication or feedback before peer review. Data may be preliminary. Learn more about preprints. preprintOpen AccessYou are viewing the latest version by default [v1]Data Quality Analysis on China Permanent Seismic Network Repeating EarthquakesAuthorsXuchaoCHAIiDPeiZHANGiDChuangWANGQingliangWANGSee all authors Xuchao CHAIiDCorresponding...

10.1002/essoar.10508305.1 preprint EN 2021-10-15
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