中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
机构
采集方式
内容类型
发表日期
学科主题
筛选

浏览/检索结果: 共13条,第1-10条 帮助

条数/页: 排序方式:
Accelerating k-Shape Time Series Clustering Algorithm Using GPU 期刊论文  OAI收割
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2023, 卷号: 34, 期号: 10, 页码: 2718-2734
作者:  
Wang, Xun;  Song, Ruibao;  Xiao, Junmin;  Li, Tong;  Li, Xueqi
  |  收藏  |  浏览/下载:38/0  |  提交时间:2023/12/04
Toroidal and elliptic quiver BPS algebras and beyond 期刊论文  OAI收割
JOURNAL OF HIGH ENERGY PHYSICS, 2022, 期号: 2, 页码: 24
作者:  
Galakhov, Dmitry;  Li, Wei;  Yamazaki, Masahito
  |  收藏  |  浏览/下载:21/0  |  提交时间:2023/01/16
On Some Generalized Rapoport-Zink Spaces 期刊论文  OAI收割
CANADIAN JOURNAL OF MATHEMATICS-JOURNAL CANADIEN DE MATHEMATIQUES, 2020, 卷号: 72, 期号: 5, 页码: 1111-1187
作者:  
Shen, Xu
  |  收藏  |  浏览/下载:16/0  |  提交时间:2021/01/14
New k-space scheme for modeling elastic wave propagation in heterogeneous media 期刊论文  OAI收割
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2020, 卷号: 63, 期号: 8, 页码: 3091-3104
作者:  
Huang JiWei;  Liu Hong
  |  收藏  |  浏览/下载:21/0  |  提交时间:2020/09/28
k-Space-Based Enhancement of Pulmonary Hyperpolarized Xe-129 Ventilation Images 期刊论文  OAI收割
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2019, 卷号: 68, 期号: 10, 页码: 3950-3961
作者:  
Deng, He;  Duan, Caohui;  Xiao, Sa;  Xie, Junshuai;  Zhang, Huiting
  |  收藏  |  浏览/下载:69/0  |  提交时间:2020/01/14
Estimation of river pollution source using the space-time radial basis collocation method SCI/SSCI论文  OAI收割
2016
作者:  
Li Z.;  Mao, X. Z.;  Li, T. S.;  Zhang, S. Y.
  |  收藏  |  浏览/下载:28/0  |  提交时间:2017/11/09
4 K high frequency pulse tube cryocooler used for terahertz space application 期刊论文  OAI收割
CHINESE SCIENCE BULLETIN, 2014, 卷号: 59, 期号: 27, 页码: 3490-3494
作者:  
Quan, Jia;  Liu, Yanjie
收藏  |  浏览/下载:73/0  |  提交时间:2014/11/21
Perception-Based Color Space for Image Segmentation Application 会议论文  OAI收割
2013 15th IEEE International Conference on Communication Technology (ICCT 2013) , Guilin, China, November 17-19, 2013
作者:  
Jiang M(姜迈);  Liang W(梁炜);  Zhang XL(张晓玲)
收藏  |  浏览/下载:24/0  |  提交时间:2013/12/26
Study on medical X-ray coherent scatter imaging and processing based digital flat detector (EI CONFERENCE) 会议论文  OAI收割
3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010, October 16, 2010 - October 18, 2010, Yantai, China
作者:  
Li B.;  Zhao J.;  Li B.;  Li B.;  Liu J.
收藏  |  浏览/下载:32/0  |  提交时间:2013/03/25
It is introduced a novel imaging technique for medical diagnostic X-ray coherent scatter in this paper. A set of experimental equipment for X-ray coherent scatter imaging was set up with X-ray digital flat detector and medical diagnostic X-ray source. According to this equipment  the scatter images obtained are made of some circles with the same center. It is vital to calculate the energy template to classify the different samples. It is difficult to separate them using the traditional threshold method due to noise and overlapped shadow. In this paper  the image was transformed a binary image by using K-Means algorithm and Mathematical Morphology Methods. The effective region was extracted from the binary image inside the orthogonal energy projection space  then to calculate the centroid of rings. Consequently the curve of the energy distribution was built. The experiment results show that our method is reasonable and feasible. The technique will have wide foreground of application .Besides the imaging of human bone content  it can be used for various imaging of tissue and organs in biology. 2010 IEEE.  
Cr image enhancement based on human visual characteristics (EI CONFERENCE) 会议论文  OAI收割
2010 International Conference on Computer Design and Applications, ICCDA 2010, June 25, 2010 - June 27, 2010, Qinhuangdao, Hebei, China
Zhang M.-H.; Zhang Y.-Y.
收藏  |  浏览/下载:29/0  |  提交时间:2013/03/25
The characteristic of digital CR medicine radiation image has wide dynamic range  abundant details and bad contrast  so it is necessary to enhance CR image to the need of doctor diagnosis. But the general enhancement algorithms don't consider human visual characteristics  so it puts forward CR medicine image adaptive enhancement algorithm combining the human visual property  which is more sensitive to smooth area noise compared with detail area noise  and makes image edge detail enhancement great in detail area  and detail enhancement little in smooth area  in which factor K is based on space change of image domain  accordingly gaining non-linear enhancement edge details of CR image. Experiment results demonstrate that the algorithm enhances CR image detail and CR image enhanced has good visual effect  so the method is fit for edge detail enhancement of CR medicine radiation image. 2010 IEEE.