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长春光学精密机械与物... [3]
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地质与地球物理研究所 [1]
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期刊论文 [4]
会议论文 [3]
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Optimized High-order Finite-difference Modeling of Second-order Strain Gradient Wave Field Effects
期刊论文
OAI收割
APPLIED GEOPHYSICS, 2023, 页码: 13
作者:
Hu, Zi-hao
;
Feng, Hai-xin
;
Zhou, Zhi-chun
;
Li, You-ming
;
Whang, Zhi-yang
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2024/01/02
Second-order strain gradient
Numerical modelling
Black widow optimization algorithm
Asymmetric elastic wave equation
Continuous-time Distributed Heavy-ball Algorithm for Distributed Convex Optimization over Undirected and Directed Graphs
期刊论文
OAI收割
Machine Intelligence Research, 2022, 卷号: 19, 期号: 1, 页码: 75-88
作者:
Hao-Ran Yang
;
Wei Ni
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2024/04/23
Distributed convex optimization
second-order distributed algorithm
multi-agent systems
gradient tracking
directed graph
Inclusion problem in second gradient elasticity
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE, 2018, 卷号: 132, 页码: 60-78
作者:
Ma HS(马寒松)
;
Hu GK
;
Wei YG(魏悦广)
;
Liang LH(梁立红)
  |  
收藏
  |  
浏览/下载:55/0
  |  
提交时间:2018/10/30
Green's function
Eshelby tensor
Second gradient
Inclusion
Effective modulus
Second order potential vorticity and its potential applications
期刊论文
OAI收割
SCIENCE CHINA-EARTH SCIENCES, 2014, 卷号: 57, 期号: 10, 页码: 2428-2434
作者:
Gao ShouTing
;
Xu PengCheng
;
Li Na
;
Zhou YuShu
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2021/01/14
TROPICAL CYCLONE
PART I
CYCLOGENESIS
STRATOSPHERE
DIAGNOSTICS
TROPOSPHERE
TROPOPAUSE
ANOMALIES
potential vorticity
second order potential vorticity
PV evolution
PV gradient
heavy rainfall
Features extraction and matching of teeth image based on the SIFT algorithm (EI CONFERENCE)
会议论文
OAI收割
2012 2nd International Conference on Computer Application and System Modeling, ICCASM 2012, July 27, 2012 - July 29, 2012, Shenyang, China
作者:
Wang X.
;
Wang X.
;
Wang X.
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2013/03/25
Using of SIFT algorithm in the image of teeth model
can detect the features of the teeth image effectively. In this approach
first
search over all scales and image locations by using a difference-of-Gaussian function to identify potential interest points that are invariant to scale and orientation. Second
select keypoints based on measures of their stability and a detailed model is fit to determine location and scale at each candidate location. Third
assign one or more orientations to each keypoint location based on local image gradient directions. Last
measure the local image gradients at the selected scale in the region around each keypoint. And then use the KNN algorithm to match the features. Through lots of experiments and comparing with other feature extraction methods
this method can detect the features of the teeth model effectively
and offer some available parameters for 3D reconstruction of the teeth model. the authors.
Performance test of steel tube enclosed thermistors in air temperature measurements (EI CONFERENCE)
会议论文
OAI收割
3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011, January 6, 2011 - January 7, 2011, Shanghai, China
作者:
Yang H.
;
Yan F.
;
Yan F.
;
Peng J.
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2013/03/25
The performances of two steel tube enclosed precision thermistors are tested in a well controlled air environment to determine if the thermistors have enough accuracy for 0.01C levels of air temperature gradient measurement. Three Fluke's 5641 and three 5610 thermistors were tested for 24 hours in Fluke's 7008 calibration bath in the first step. In the second step
the performances of these two thermistors in steady state and transient state air temperature environments were tested for 8 hours separately. The results illustrate that
two of the 5641s were airproofed in a temperature well controlled tube
when steel tube enclosed precision thermistors are used in air temperature measurement
there are unstable departures from each other with a maximum 8.8 mC in constant air medium and 27 mC in temperature changing air medium. The transient-time errors are too large to show the true amounts of temperature changes for air temperature measurement. 2011 IEEE.
Driving and image enhancement for CCD sensing image system (EI CONFERENCE)
会议论文
OAI收割
2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010, July 9, 2010 - July 11, 2010, Chengdu, China
Zhang M.
;
Ren J.
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2013/03/25
The paper designs a driving circuit of high sensitive
wide dynamic for CCD sensing imaging system which adopts a Dalsa-made high resolution full-frame 33-mega pixels area CCD FTF5066M. Field Programmable Gate Array (FPGA) is used as the main device to accomplish the timing design of the circuits and power driver control of the sensor. By using the Correlated Double Sampling (CDS) technique
the video noise is reduced and the SNR of the system is increased. The output rate of the imaging system designed with integrated chip can reach to 1.3 frames per second through bi-channel output. We use the histogram specification to adjust the brightness of the captured image. And then use the median filtering to suppress the noise. The traditional gray mean gradient (GMG) and the objective evaluation method based on Human Visual System (HVS) used to verify the effect of image enhancement. 2010 IEEE.