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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究所 [3]
长春光学精密机械与物... [2]
成都山地灾害与环境研... [1]
地质与地球物理研究所 [1]
海洋研究所 [1]
武汉岩土力学研究所 [1]
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OAI收割 [10]
内容类型
期刊论文 [7]
会议论文 [2]
SCI/SSCI论文 [1]
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2023 [1]
2022 [2]
2020 [1]
2018 [2]
2017 [1]
2013 [1]
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Quantitative Characteristics and Environmental Interpretation of Vegetation Restoration in Burned Areas of the Dry Valleys of Southwest China
期刊论文
OAI收割
FORESTS, 2023, 卷号: 14, 期号: 11, 页码: 12
作者:
He, Zhixue
;
Luo, Jun
;
Zhang, Bin
;
Wang, Lei
;
Liu, Hui
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2024/01/02
burned areas
vegetation restoration
quantitative characteristics
environmental interpretation
Quantitative seismic characterization for gas hydrate- and free gas-bearing sediments in the Shenhu area, South China sea
期刊论文
OAI收割
MARINE AND PETROLEUM GEOLOGY, 2022, 卷号: 139, 页码: 13
作者:
Qian, Jin
;
Kang, Dongju
;
Jin, Jiapeng
;
Lin, Lin
;
Guo, Yiqun
  |  
收藏
  |  
浏览/下载:53/0
  |  
提交时间:2022/07/18
Gas hydrate
Free gas
Phase reversal
AVO characteristics
Quantitative seismic characterization
Predicting the thresholds of metals with limited toxicity data with invertebrates in standard soils using quantitative ion character-activity relationships (QICAR)
期刊论文
OAI收割
JOURNAL OF HAZARDOUS MATERIALS, 2022, 卷号: 423, 页码: 9
作者:
Li, Jinping
;
Wang, Xuedong
;
Yang, Junxing
;
Liu, Yanju
;
Naidu, Ravi
  |  
收藏
  |  
浏览/下载:87/0
  |  
提交时间:2021/11/05
Metal toxicity
Ion characteristics
Quantitative ion character-activity relation-ships (QICARs)
Terrestrial invertebrates
Application of Machine Learning Method to Quantitatively Evaluate the Droplet Size and Deposition Distribution of the UAV Spray Nozzle
期刊论文
OAI收割
APPLIED SCIENCES-BASEL, 2020, 卷号: 10
作者:
Guo, Han
;
Zhou, Jun
;
Liu, Fei
;
He, Yong
;
Huang, He
  |  
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2020/11/26
UAV spray nozzle
spray characteristics
machine learning
quantitative modeling
Groundwater Source Discrimination and Proportion Determination of Mine Inflow Using Ion Analyses: A Case Study from the Longmen Coal Mine, Henan Province, China
期刊论文
OAI收割
MINE WATER AND THE ENVIRONMENT, 2018, 卷号: 37, 期号: 2, 页码: 385-392
作者:
Xu, Zhimin
;
Sun, Yajun
;
Gao, Shang
;
Zhao, Xianming
;
Duan, Ruiqi
  |  
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2018/09/28
Water quality characteristics
Water characteristic ion
Quantitative analysis
Mine water source identification
Mine water disaster prevention
In Situ Observation of Rock Spalling in the Deep Tunnels of the China Jinping Underground Laboratory (2400 m Depth)
期刊论文
OAI收割
ROCK MECHANICS AND ROCK ENGINEERING, 2018, 卷号: 51, 期号: 4, 页码: 1193-1213
作者:
Feng, Xia-Ting
;
Xu, Hong
;
Qiu, Shi-Li
;
Li, Shao-Jun
;
Yang, Cheng-Xiang
  |  
收藏
  |  
浏览/下载:62/0
  |  
提交时间:2018/06/05
Spalling
Jinping Underground Laboratory
Marble tunnel
Photogrammetry
Quantitative characteristics
Impacts of precipitation variation and soil and water conservation measures on runoff and sediment yield in the Loess Plateau Gully Region, China
期刊论文
OAI收割
Journal of Mountain Science, 2017, 卷号: 14, 期号: 10, 页码: 2028-2041
作者:
XIA Lu
;
SONG Xiao-yu
;
FU Na
;
MENG Chun-fang
;
LI Huai-you
  |  
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2017/10/09
Quantitative Impact
Trend Analysis
Evolution Characteristics
Runoffand Sediment Yield
Rainfall
Land Use Change
Exploring the characteristics of major natural disasters in China and their impacts during the past decades
SCI/SSCI论文
OAI收割
2013
Zhou Y.
;
Li N.
;
Wu W. X.
;
Wu J. D.
;
Gu X. T.
;
Ji Z. H.
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2014/12/24
Natural disasters (NDs)
Numbers of disasters
Impacts
Losses expressed
as a percentage of GDP (losses/GDP)
China
spatial characteristics analysis
quantitative assessment
losses
vulnerability
climate
management
insurance
damages
weather
risk
Application of quantitative fault tree analysis based on fuzzy synthetic evaluation to software development for space camera (EI CONFERENCE)
会议论文
OAI收割
2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011, August 8, 2011 - August 10, 2011, Zhengzhou, China
作者:
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2013/03/25
Software reliability analysis is a significant measure to guide design of software reliability. Now software fault tree method to carry on software reliability analysis is used more and more. But it can only qualitative carry on the analysis because of many reasons. For example
the scale of software is enlarging
the software architecture is getting more and more complex
the reason of software fault is very difficult to analyze
the software is difference with hardware
and it is very hard to obtain the expiration the quantitative data and so on. The space camera is extremely high to the reliable request. So the qualitative analysis is unable to satisfy the analysis request. In view of space camera characteristics
a method of fault tree analysis based on fuzzy synthetic evaluation is proposed. The results show that the new method makes software quantitative fault tree analysis possible and optimizes. It can also solve the problem of software component which is unable to quantize precisely. 2011 IEEE.
The analysis and design of low velocity estimation based on observer (EI CONFERENCE)
会议论文
OAI收割
2009 IEEE International Conference on Automation and Logistics, ICAL 2009, August 5, 2009 - August 7, 2009, Shenyang, China
作者:
Wang D.
;
Zhang S.
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2013/03/25
Low velocity servo system needs precision velocity estimation. An observer for low velocity estimation was proposed in this paper. First
the source of low velocity estimation errors and the shortcomings of the single period difference were analyzed. The relationship between the estimation accuracy and estimator's frequency characteristics was concluded. Then
the structure of the observer was proposed. Frequency characteristics were used to design the compensator which can stabilize the observer. The stability of the observer was also discussed. At last
the observer's estimation accuracy was evaluated through a quantitative comparison. The results of simulation and experiment have shown that the quantized error in velocity estimation decreases dramatically when a velocity observer is used. Compared with some commonly-used estimators
the phase lag accompanying the observer is much less. 2009 IEEE.