中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
地理科学与资源研究所 [2]
长春光学精密机械与物... [2]
高能物理研究所 [2]
西安光学精密机械研究... [2]
理论物理研究所 [1]
数学与系统科学研究院 [1]
更多
采集方式
OAI收割 [12]
内容类型
期刊论文 [8]
SCI/SSCI论文 [2]
会议论文 [2]
发表日期
2023 [2]
2021 [1]
2019 [1]
2017 [1]
2012 [3]
2009 [1]
更多
学科主题
Instrument... [1]
Physics [1]
筛选
浏览/检索结果:
共12条,第1-10条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
题名升序
题名降序
提交时间升序
提交时间降序
作者升序
作者降序
发表日期升序
发表日期降序
Enhanced Bayesian Factorization With Variant Scale Partitioning for Multivariate Time Series
期刊论文
OAI收割
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 4, 页码: 3832-3845
作者:
Tang, Yunbo
;
Chen, Dan
;
Zuo, Yiping
;
Lu, Xiaoqiang
;
Ranjan, Rajiv
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2023/05/05
Electroencephalography
Bayes methods
Tensors
Brain modeling
Feature extraction
Time series analysis
Time-frequency analysis
Multivariate time series
Bayesian factorization
sparsity prior
structural feature construction
Enhanced Bayesian Factorization With Variant Scale Partitioning for Multivariate Time Series Analysis
期刊论文
OAI收割
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 4, 页码: 3832-3845
作者:
Tang, Yunbo
;
Chen, Dan
;
Zuo, Yiping
;
Lu, Xiaoqiang
;
Ranjan, Rajiv
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2023/04/04
Electroencephalography
Bayes methods
Tensors
Brain modeling
Feature extraction
Time series analysis
Time-frequency analysis
Multivariate time series
Bayesian factorization
sparsity prior
structural feature construction
Construction and simulation bias study of the guide Tube Calibration System for JUNO
期刊论文
OAI收割
JOURNAL OF INSTRUMENTATION, 2021, 卷号: 16, 期号: 7
作者:
Guo, YH
;
Zhu, KF
;
Zhang, QM
;
Zhang, FY
;
Meng, Y
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2023/03/27
Overall mechanics design (support structures and materials
vibration analysis etc)
Detector design and construction technologies and materials
Detector alignment and calibration methods (lasers
sources
particle-beams)
Detector control systems (detector and experiment mon-itoring and slow-control systems
architecture
hardware
algorithms
databases)
Results and performances of X-ray imaging GEM cameras on FTU (1-D), KSTAR (2-D) and progresses of future experimental set up on W7-X and EAST Facilities
期刊论文
OAI收割
JOURNAL OF INSTRUMENTATION, 2017, 卷号: 12, 期号: 无, 页码: 1-10
作者:
Cordella, F.
;
Choe, W.
;
Claps, G.
;
Gabellieri, L.
;
Jang, J.
  |  
收藏
  |  
浏览/下载:63/0
  |  
提交时间:2018/08/17
Detector Design And Construction Technologies And Materials
Electron Multipliers (Gas)
Nuclear Instruments And Methods For Hot Plasma Diagnostics
Micropattern Gaseous Detectors (Msgc
Gem
Thgem
Rethgem
Mhsp
Micropic
Micromegas
Ingrid
Etc)
The high timing resolution T0 system in IHEP E3 beam line
期刊论文
OAI收割
JOURNAL OF INSTRUMENTATION, 2012, 卷号: 7, 页码: P02013
作者:
Qian S(钱森)
;
Wang YF(王贻芳)
;
Ning Z(宁哲)
;
Qian, S
;
Wang, Y
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2016/04/08
Timing detectors
Detector design and construction technologies and materials
Particle identification methods
Noble-liquid detectors (scintillation
ionization two-phase)
A high speed method of SMTS
SCI/SSCI论文
OAI收割
2012
Chen C. F.
;
Yue T. X.
;
Li Y. Y.
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2012/09/04
DEM
Interpolation method
Resolution
Accuracy
digital elevation models
interpolation methods
dem construction
terrain analysis
accuracy
error
quality
splines
systems
scale
A high speed method of SMTS
SCI/SSCI论文
OAI收割
2012
Chen C. F.
;
Yue T. X.
;
Li Y. Y.
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2012/09/04
DEM
Interpolation method
Resolution
Accuracy
digital elevation models
interpolation methods
dem construction
terrain analysis
accuracy
error
quality
splines
systems
scale
Design and tolerance analysis of compensator for high order aspheric surface testing (EI CONFERENCE)
会议论文
OAI收割
2009 International Conference on Optical Instruments and Technology - Optoelectronic Measurement Technology and Systems, October 19, 2009 - October 22, 2009, Shanghai, China
作者:
Chen X.
;
Liu W.
;
Chen X.
;
Chen X.
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2013/03/25
High accuracy is required in surface testing of 90nm nodal point lithography projecting lens. By comparing various aspheric surface testing methods
the structure layout of the compensator is a meniscus positive lens combined with a Plano-convex positive lens. The design results indicate that: primary and high order aberrations are balanced well
we adopt Offner null compensator to test the aspheric surface in the point diffraction interferometer at last. In this paper
MTF exceeds diffraction limit
an Offner compensator is presented on the base of the third order aberration theory to test concave aspheric surface
root-mean-square (RMS) of wave front error /167. The F-number of the system can achieve F/1.64. By the analysis of the process of aspheric surface testing with the designed system
the optical construction parameters of which is determined by introducing equal-quantities spherical aberration to compensate all orders of aspheric coefficients. The field of view of the system is 0.02
a loosen distribution of the tolerance was presented based on the accuracy of measuring apparatus. 2009 SPIE.
Wavelet packet and neural network basis medical image compression (EI CONFERENCE)
会议论文
OAI收割
4th International Conference on Photonics and Imaging in Biology and Medicine, September 3, 2005 - September 6, 2005, Tianjin, China
Zhao X.
;
Wei J.
;
Zhai L.
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2013/03/25
It is difficult to get high compression ratio and good reconstructed image by conventional methods
we give a new method of compression on medical image. It is to decompose and reconstruct the medical image by wavelet packet. Before the construction the image
use neural network in place of other coding method to code the coefficients in the wavelet packet domain. By using the Kohonen's neural network algorithm
not only for its vector quantization feature
but also for its topological property. This property allows an increase of about 80% for the compression rate. Compared to the JPEG standard
this compression scheme shows better performances (in terms of PSNR) for compression rates higher than 30. This method can get big compression ratio and perfect PSNR. Results show that the image can be compressed greatly and the original image can be recovered well. In addition
the approach can be realized easily by hardware.