[1] |
WAN Peng, HAN Xian-quan, TAN Yong, QIN Peng.
TD-InSAR Monitoring of Land Surface Deformation along Water Diversion Projects Based on Cloud Computing
[J]. Journal of Yangtze River Scientific Research Institute, 2024, 41(10): 206-214.
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[2] |
QI Chang-xian, REN Yan, PENG Hai-yue, WEI Jia-hua, WANG Yong-qiang, LI Qiong.
Extracting the Dynamic Change of Lake Area in the Three-River Headwaters Region Based on Google Earth Engine
[J]. Journal of Yangtze River Scientific Research Institute, 2023, 40(7): 179-185.
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[3] |
XU Jian, XU Jian, WEI Si-qi , ZHAO Bao-cheng, XIAO Xiao, LI Guo-zhong.
Application Prospects of Block Chain Technology in Construction of Intelligent Water Conservancy System
[J]. Journal of Yangtze River Scientific Research Institute, 2023, 40(4): 150-54,163.
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[4] |
XU Wen-jie, WANG Zhong-jing.
A Shared Software Service System: Hydraulic Cloud Computing Platform
[J]. Journal of Yangtze River Scientific Research Institute, 2021, 38(9): 141-148.
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[5] |
JIA Bao-liang, LUO Yi, ZHANG Hui, GUO Liang.
Automatic Monitoring Technology for Grouting: Progresses and Prospects
[J]. Journal of Yangtze River Scientific Research Institute, 2021, 38(10): 186-191.
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[6] |
CHEN Zhe, WEI Si-qi, WU Yi-bang, WEN Xiong-fei, XIANG Da-xiang, LI Jing-wei.
Construction of Public Opinion Analysis System for “River Chief System” Management Based on Internet Social Media
[J]. Journal of Yangtze River Scientific Research Institute, 2021, 38(10): 174-179.
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[7] |
NIU Guang-li, LI Duan-you, LI Tian-yang, HE Liang.
Management and Analysis System for Dam Safety Monitoring Data Based on Cloud Platform: Development and Application
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2019, 36(6): 161-165.
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[8] |
RAO Xiao-kang.
A Big Data Platform for Grouting of Water Conservancy Project: Design and Implementation
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2019, 36(6): 139-145.
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[9] |
RAO Xiao-kang, MA Rui, ZHANG Li, YI Chong-zheng.
Big Data Safety Management Platform for Dyke Engineering Based onArtificial Intelligence: Research and Implementation
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2019, 36(10): 104-110.
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[10] |
LUO Deng-chang, HAN Xu, YU Qi-chao, MA Dan-xuan.
4Standardization of Dyke Engineering Data
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2019, 36(10): 34-38.
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[11] |
ZHOU Li-feng, LIU Wen, BAI Yu-feng.
Technological Study on Cloud Computing System and Its General Design for Water Scientific Research
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2015, 32(11): 119-124.
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[12] |
ZHOU Li-feng, LIU Wen, ZHANG Zhi-zhong.
Role of Cloud Computing in Informatization of Water-conservancy Scientific Research
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2014, 31(9): 110-114.
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[13] |
ZHAO Zhi-yu, ZHANG Juan.
Early Warning Expert Decision System of Water Resources Management Based on Cloud Computing Architecture
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2014, 31(7): 91-95.
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[14] |
SHEN Sheng-yu,LIU Zhe,ZHANG Ping-cang,ZHANG Tong,WU Hua-yi,CHEN Xiao-ping.
Extraction of High-resolution Remote-sensing Image Feature Based on MapReduce
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2014, 31(2): 91-96.
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[15] |
SHEN Sheng-yu,LIU Zhe,ZHANG Ping-cang,ZHANG Tong,WU Hua-yi,CHEN Xiao-ping.
A Scalable Structure for the Storage of High-resolution Remote Sensing Images in Cloud Computing Environment
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2014, 31(12): 107-112.
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