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长春光学精密机械与物... [3]
地理科学与资源研究所 [1]
过程工程研究所 [1]
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OAI收割 [7]
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会议论文 [4]
期刊论文 [2]
EI期刊论文 [1]
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2022 [1]
2018 [1]
2012 [1]
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VigilanceNet: Decouple Intra- and Inter-Modality Learning for Multimodal Vigilance Estimation in RSVP-Based BCI
会议论文
OAI收割
Lisboa, Portugal, 2022-10-10
作者:
Cheng XY(程昕钰)
;
Wei W(魏玮)
;
Du CD(杜长德)
;
Qiu S(邱爽)
;
Tian SL(田三力)
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2023/05/31
Vigilance Estimation
Multimodal
EEG
EOG
Rapid Serial Visual Presentation
Calculation on the phase equilibrium and critical temperature of CH4/CO2
期刊论文
OAI收割
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2018, 卷号: 113, 页码: 369-377
作者:
Guo, Gang
;
Wang, Fei
;
Liu, Guo-Qiang
;
Luo, Sheng-Jun
;
Guo, Rong-Bo
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2018/09/06
Ch4/co2
Phase Equilibrium
Critical Temperature
Rapid Estimation
Equations Of State
Peng-robinson Eos
Application of trend extrapolation method to spectrum analysis of microtremor signal (EI CONFERENCE)
会议论文
OAI收割
2nd World Congress on Computer Science and Information Engineering, CSIE 2011, June 17, 2011 - June 19, 2011, Changchun, China
Zhou X.
;
Guo T.
;
Jiao J.
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2013/03/25
The trend extrapolation method is applied to spectrum analysis of microtremor signal in order to increase the spectral estimation accuracy. First
establish an appropriate extrapolation model based on the existing data series
and then fit correlation functions other than existing data by derivative least squares method
finally perform spectrum analysis using extrapolated correlation functions. Numerical simulations and the experimental results show that good results are achieved no matter correlation functions change slow or rapid
and the extrapolation error is not more than 2.3%. 2012 Springer-Verlag Berlin Heidelberg.
Study on image real-time interpretation based on particle filter (EI CONFERENCE)
会议论文
OAI收割
2011 International Conference on Mechatronic Science, Electric Engineering and Computer, MEC 2011, August 19, 2011 - August 22, 2011, Jilin, China
作者:
Liu S.-J.
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2013/03/25
In order to satisfy to the real-time requirement of image interpretation system in photoelectric measurement equipments
a kind of hardware acceleration system with MIMD distributed multi-processor architecture based on SOPC technology is designed. The particle filter algorithm is proposed to process image interpretation for state estimation problem of nonlinear and non-Gaussian system. This algorithm does not involve conventional linearization transform
and has approximated the posterior probability density by a set of discrete particles. Therefore the approximate optimum result is educed. It has a high accuracy and a rapid convergence. Experimental results show that the algorithm be adequate to real time
accuracy and robustness
meets the requirement of image interpretation and possesses practical significance for engineering applications. 2011 IEEE.
Development of a Simple Remote Sensing EvapoTranspiration model (Sim-ReSET): Algorithm and model test
EI期刊论文
OAI收割
2009
Sun Zhigang
;
Wang Qinxue
;
Matsushita Bunkei
;
Fukushima Takehiko
;
Ouyang Zhu
;
Watanabe Masataka
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2012/06/11
Aerodynamics
Atmospheric temperature
Atmospherics
Energy balance
Estimation
Evapotranspiration
Interfacial energy
Rapid solidification
Remote sensing
Sensitivity analysis
Soils
Surface chemistry
Surface measurement
Surface tens
Rapid estimation of single cell oil content of solid-state fermented mass using near-infrared spectroscopy
期刊论文
OAI收割
BIORESOURCE TECHNOLOGY, 2008, 卷号: 99, 期号: 18, 页码: 8869-8872
作者:
Peng, Xiaowei
;
Chen, Hongzhang
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2013/10/08
NIRS
Oleaginous fungi
Rapid estimation
Single cell oil
Solid-state fermentation
Autofocusing technique based on image processing for remote-sensing camera (EI CONFERENCE)
会议论文
OAI收割
International Symposium on Photoelectronic Detection and Imaging 2007 - Image Processing, September 9, 2007 - September 12, 2007, Beijing, China
作者:
Wang X.
;
Xu S.-Y.
;
Wang X.
;
Wang X.
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2013/03/25
The key to the auto-focusing technique based on image processing is the selection of focus measure reflecting image definition. Usually the measures derived are on the premise of the images acquired with the same scene. As for the remote-sensing camera working in linear CCD push-broom imaging mode
the premise doesn't exist because the scenes shot are different at any moment
which brings about difficulties to the selection of the focus measure. To evaluate the image definition
the focus measure based on blur estimation for rough adjustment is proposed to estimate the focused position by only two different lens positions
which greatly saves the auto-focusing time. Another evaluation function based on edge sharpness is developed to find best imaging position in the narrow range. Simulations show that the combination of the two measures has the advantages of rapid reaction and high accuracy.