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期刊论文 [4]
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The process of vanadium migration and silicon extraction by alkaline leaching from high silicon stone coal under reduction conditions
期刊论文
OAI收割
METALLURGICAL RESEARCH & TECHNOLOGY, 2019, 卷号: 116, 期号: 3, 页码: 7
作者:
Wu, Hao
;
Feng, Yali
;
Zhang, Heng
;
Li, Haoran
  |  
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2019/06/14
stone coal
silicon extraction
vanadium phase
vanadium migration
reduction conditions
Semi-continuous pressurized hot water extraction of black tea
期刊论文
OAI收割
JOURNAL OF FOOD ENGINEERING, 2018, 卷号: 227, 页码: 30-41
作者:
He, Chunlan
;
Du, Hongfei
;
Tan, Chunbin
;
Chen, Zhong
;
Chen, Zeliang
  |  
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2018/06/04
Extraction conditions
Subcritical water
Flavanols
Caffeine
Theophylline
Determining critical support discharge of a riverhead and river network analysis: Case studies of Lhasa River and Nyangqu River
期刊论文
OAI收割
CHINESE GEOGRAPHICAL SCIENCE, 2016, 卷号: 26, 期号: 4, 页码: 456-465
作者:
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2016/10/03
river network extraction
Duilongqu Basin of Lhasa River
Beishuiqu Basin of Nyangqu River
critical support discharge
hydro-climate conditions
riverhead
Canonical Huynen Decomposition of Radar Targets
会议论文
OAI收割
Conference on SAR Image Analysis, Modeling, and Techniques XV, Toulouse, FRANCE, SEP 23-24, 2015
作者:
Li, Dong
;
Zhang, Yunhua
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2016/04/22
Canonical Huynen dichotomy
Huynen-type target dichotomy
target decomposition
scattering preference
phenomenological theory
physical realizability conditions
polarimetric synthetic aperture radar
target extraction
A matching algorithm on statistical properties of Harris corner (EI CONFERENCE)
会议论文
OAI收割
2011 International Conference on Information and Automation, ICIA 2011, June 6, 2011 - June 8, 2011, Shenzhen, China
作者:
He B.
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2013/03/25
The fundamental goal of target recognition and video tracking is to match target template with source image. Most matching methods are based on image intensity or multi-feature points. And the latter method is more popular for its high accuracy and small calculation. Image Registration Based on Feature Points focus on effective feature extraction of image points and paradigm. Harris corner in the image rotation
gray
noise and viewpoint change conditions
has an ideal match results
is more recent application of one feature point. This paper extract the Harris corner deviation and covariance firstly
experiments show that the two features exclusive
then applied them to image registration for the first time. A set of actual images have shown
this proposed method not only overcomes the complicated background
gray uneven distribution problems
but also pan and zoom the image has a good resistance. 2011 IEEE.
Intelligent MRTD testing for thermal imaging system using ANN (EI CONFERENCE)
会议论文
OAI收割
ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China
Sun J.
;
Ma D.
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2013/03/25
The Minimum Resolvable Temperature Difference (MRTD) is the most widely accepted figure for describing the performance of a thermal imaging system. Many models have been proposed to predict it. The MRTD testing is a psychophysical task
for which biases are unavoidable. It requires laboratory conditions such as normal air condition and a constant temperature. It also needs expensive measuring equipments and takes a considerable period of time. Especially when measuring imagers of the same type
the test is time consuming. So an automated and intelligent measurement method should be discussed. This paper adopts the concept of automated MRTD testing using boundary contour system and fuzzy ARTMAP
but uses different methods. It describes an Automated MRTD Testing procedure basing on Back-Propagation Network. Firstly
we use frame grabber to capture the 4-bar target image data. Then according to image gray scale
we segment the image to get 4-bar place and extract feature vector representing the image characteristic and human detection ability. These feature sets
along with known target visibility
are used to train the ANN (Artificial Neural Networks). Actually it is a nonlinear classification (of input dimensions) of the image series using ANN. Our task is to justify if image is resolvable or uncertainty. Then the trained ANN will emulate observer performance in determining MRTD. This method can reduce the uncertainties between observers and long time dependent factors by standardization. This paper will introduce the feature extraction algorithm
demonstrate the feasibility of the whole process and give the accuracy of MRTD measurement.
Analysis of the operation conditions for supercritical fluid extraction of seed oil
期刊论文
OAI收割
separation and purification technology, 2005, 卷号: 43, 期号: 2, 页码: 163-167
作者:
Yin, JZ
;
Wang, AQ
;
Wei, W
;
Liu, Y
;
Shi, WH
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2015/11/10
supercritical fluid extraction
Hippophae rhamnoides L.
operation conditions