中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
数学与系统科学研究院 [4]
力学研究所 [1]
地理科学与资源研究所 [1]
理论物理研究所 [1]
长春光学精密机械与物... [1]
采集方式
OAI收割 [8]
内容类型
期刊论文 [7]
会议论文 [1]
发表日期
2022 [1]
2021 [2]
2017 [2]
2016 [1]
2006 [2]
学科主题
Physics [1]
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Evaluating grain virtual water flow in China: Patterns and drivers from a socio-hydrology perspective
期刊论文
OAI收割
JOURNAL OF HYDROLOGY, 2022, 卷号: 606, 页码: 12
作者:
Sun, Jingxin
;
Sun, Shikun
;
Yin, Yali
;
Wang, Yubao
;
Zhao, Xining
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2022/09/21
Virtual water
Drivers
Gravity model
Socio-hydrology
Impulse response
A two-layer model for landslide generated impulse wave: Simulation of the 1958 Lituya bay landslide impact wave from generation to long-duration transport
期刊论文
OAI收割
ADVANCES IN WATER RESOURCES, 2021, 卷号: 154, 页码: 11
作者:
Liu, Qingquan
;
Pan, Menghan
;
Wang, Xiaoliang
;
An, Yi
;
An Y(安翼)
  |  
收藏
  |  
浏览/下载:73/0
  |  
提交时间:2022/05/17
Two-layer model
Landslide-generated impulse wave
Reconstruction
Lituya
Ergodic inventory control with diffusion demand and general ordering costs
期刊论文
OAI收割
OPERATIONS RESEARCH LETTERS, 2021, 卷号: 49, 期号: 4, 页码: 578-585
作者:
Wei, Bo
;
Yao, Dacheng
  |  
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2021/10/26
Stochastic inventory model
General ordering costs
Diffusion process
(s, S) policy
Impulse control
Optimal Ordering Policy for Inventory Systems with Quantity-Dependent Setup Costs
期刊论文
OAI收割
MATHEMATICS OF OPERATIONS RESEARCH, 2017, 卷号: 42, 期号: 4, 页码: 979-1006
作者:
He, Shuangchi
;
Yao, Dacheng
;
Zhang, Hanqin
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2018/07/30
stochastic inventory model
quantity-dependent setup cost
(s, S) policy
base stock policy
impulse control
instantaneous control
Joint pricing and inventory control for a stochastic inventory system with Brownian motion demand
期刊论文
OAI收割
IISE TRANSACTIONS, 2017, 卷号: 49, 期号: 12, 页码: 1101-1111
作者:
Yao, Dacheng
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2018/07/25
Stochastic inventory model
pricing
Brownian motion demand
(s, S, p) policy
impulse control
drift rate control
A state feedback impulse model for computer worm control
期刊论文
OAI收割
NONLINEAR DYNAMICS, 2016, 卷号: 85, 期号: 3, 页码: 1561-1569
作者:
Zhang, Meng
;
Song, Guohua
;
Chen, Lansun
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2018/07/30
State feedback
Impulse model
Semi-continuous system
Computer worm
Order-1 periodic solution
Isospin-dependent optical potentials in Dirac-Brueckner-Hartree-Fock approach
期刊论文
OAI收割
PHYSICAL REVIEW C, 2006, 卷号: 73, 期号: 1, 页码: -
作者:
Van Giai, N
;
Rong, J
;
Ma, ZY
;
Rong, J , China Inst Atom Energy, Beijing 102413, Peoples R China
  |  
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2012/08/02
Differential Cross Sections
Nucleus Elastic-scattering
Polarized Protons
Impulse-approximation
Model Analysis
Self-energy
Pb-208
Density
Ca-40
CR image filter methods research based on wavelet-domain hidden markov models (EI CONFERENCE)
会议论文
OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者:
Wang J.-L.
;
Wang J.-L.
;
Li D.-Y.
;
Wang Y.-P.
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2013/03/25
In the procedure of computed radiography imaging
we should firstly get across the characters of kinds of noises and the relationship between the image signals and noises. Based on the specialties of computed radiography (CR) images and medical image processing
we have study the filtering methods for computed radiography images noises. On the base of analyzing computed radiography imaging system in detail
the author think that the major two noises are Gaussian white noise and Poisson noise. Then
the different relationship of between two kinds of noises and signal were studied completely. By considering both the characteristics of computed radiography images and the statistical features of wavelet transformed images
a multiscale image filtering algorithm
which based on two-state hidden markov model (HMM) and mixture Gaussian statistical model
has been used to decrease the Gaussian white noise in computed images. By using EM (Expectation Maximization) algorithm to estimate noise coefficients in each scale and obtain power spectrum matrix
then this carried through the syncretized two Filter that are IIR(infinite impulse response) Wiener Filter and HMM
according to scale size
and achieve the experiments as well as the comparison with other denoising methods were presented at last.