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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
长春光学精密机械与物... [1]
心理研究所 [1]
过程工程研究所 [1]
武汉岩土力学研究所 [1]
合肥物质科学研究院 [1]
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OAI收割 [5]
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期刊论文 [4]
会议论文 [1]
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2010 [1]
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Experimental study on physical and mechanical characteristics of rock-concrete combined body under complex stress conditions
期刊论文
OAI收割
CONSTRUCTION AND BUILDING MATERIALS, 2022, 卷号: 324, 页码: 14
作者:
Zhao, Yu
;
Shen, Mingxuan
;
Bi, Jing
;
Wang, Chaolin
;
Yang, Yongtao
  |  
收藏
  |  
浏览/下载:58/0
  |  
提交时间:2022/04/11
Rock-concrete combined body
Complex stress condition
Physical and mechanical characteristics
Strain
Failure behavior
Correlation of Job stress and self-control through various dimensions in Beijing Hospital staff
期刊论文
OAI收割
JOURNAL OF AFFECTIVE DISORDERS, 2021, 卷号: 294, 页码: 916-923
作者:
Siddiqui, Alveena
;
Jia, Haiying
;
He, Yingyi
;
Li, Yuling
;
Zhen, Shiqian
  |  
收藏
  |  
浏览/下载:54/0
  |  
提交时间:2021/10/29
Job stress
Self-control
Leadership position
Physical condition
Mental condition
Reactive mesoporous silica nanoparticles loaded with limonene for improving physical and mental health of mice at simulated microgravity condition
期刊论文
OAI收割
BIOACTIVE MATERIALS, 2020, 卷号: 5, 期号: 4, 页码: 1127-1137
作者:
Lu, Zhiguo
;
Wang, Jianze
;
Qu, Lina
;
Kan, Guanghan
;
Zhang, Tianlu
  |  
收藏
  |  
浏览/下载:73/0
  |  
提交时间:2020/10/30
Reactive mesoporous silica nanoparticles
Slow release of limonene
Simulated microgravity condition
Improvement of physical health
Improvement of mental health
A Cyber-Physical Production System Framework of Smart CNC Machining Monitoring System
期刊论文
OAI收割
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2018, 卷号: 23, 期号: 6, 页码: 2579-2586
作者:
Zhu, Kunpeng
;
Zhang, Yu
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2019/12/25
Big data analytics
condition monitoring
cyber-physical production system (CPPS)
machining process
Restoration of an atmospherically blurred image based on physical model fusion approach (EI CONFERENCE)
会议论文
OAI收割
2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China
作者:
Wang Y.
;
Li J.
;
Li J.
;
Li J.
;
Wang Y.
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2013/03/25
This paper proposes a new restoration method
only using the single image information
combining atmospheric physical model with fusion techniques to reduce the degradation of the image contrast in bad weather conditions caused by atmospheric aerosols
such as haze and fog. The basic idea of this method is to utilize physics-based model method instead of multisensors to generate a serial of virtual images
and then to fuse those virtual images into a high contrast image based on the wavelet fusion technique. In contrast to previous methods
our restoration technique is not only independent on predicted structure
distributions of scene reflectance
or detailed knowledge about the particular weather condition
but also adapt to the situation without a reference image or images with moving objects captured by a video camera. Experiments on different poorcontrast images demonstrate the availability of the proposed method in case of restoring the atmospherically blurred images. 2010 IEEE.