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21条,第1-10条 帮助

条数/页: 排序方式:
Design and Analysis of High Temperature Superconducting Current Leads for CRAFT TF Magnet 期刊论文  OAI收割
IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY, 2023, 卷号: 33
作者:  
Han, Quan;  Lu, Kun;  Song, Yuntao;  Ding, Kaizhong;  Liu, Chen
  |  收藏  |  浏览/下载:56/0  |  提交时间:2023/11/10
Design and Development of Turn Insulation Automatic Wrapping System for CRAFT TF 期刊论文  OAI收割
IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY, 2022, 卷号: 32
作者:  
He, Jian;  Wu, Jiefeng;  Wen, Wei;  Yan, Zhaohui;  Wu, Yu
  |  收藏  |  浏览/下载:37/0  |  提交时间:2022/12/23
Modelling the basic research competitiveness index (br-ci) with an application to the biomass energy field 期刊论文  iSwitch采集
Scientometrics, 2016, 卷号: 108, 期号: 3, 页码: 1221-1241
作者:  
Zhang, Yi;  Kou, Mingting;  Chen, Kaihua;  Guan, Jiancheng;  Li, Yuchen
收藏  |  浏览/下载:48/0  |  提交时间:2019/05/09
Experimental Analysis of the Aerodynamic Performance of an Innovative Low Pressure Turbine Rotor 期刊论文  OAI收割
2016
作者:  
Infantino, D., Satta, F., Simoni, D., Ubaldi, M., Zunino, P. and Bertini, F.
收藏  |  浏览/下载:26/0  |  提交时间:2017/05/27
Progress of research on transportation geography in China SCI/SSCI论文  OAI收割
2016
作者:  
Jin F. J.;  Wang, C. J.;  Cao, Y. H.;  Cao, X. S.;  Wang, J. E.
  |  收藏  |  浏览/下载:31/0  |  提交时间:2017/11/09
野外监测站群组集成知识平台可持续能力建设--以中国科学院新疆生态与地理研究所为例/Construction of Sustainable Ability for Knowledge Platform of Field Monitor Stations Cluster-Take Xinjiang Institute of Ecology and Geography, CAS as an Example[J] 期刊论文  OAI收割
科技广场, 2014, 卷号: 5, 页码: 160-165
作者:  
杨晓;  李宏建;  李文芯;  宁宝英;  陈洁
  |  收藏  |  浏览/下载:35/0  |  提交时间:2017/12/29
Design and fabrication of imaging optical systems with freeform surfaces (EI CONFERENCE) 会议论文  OAI收割
Current Developments in Lens Design and Optical Engineering XIII, August 13, 2012 - August 15, 2012, San Diego, CA, United states
作者:  
Zhang F.;  Wang L.;  Wang L.;  Wang L.;  He X.
收藏  |  浏览/下载:33/0  |  提交时间:2013/03/25
Efficient human action recognition using accumulated motion image and support vector machines (EI CONFERENCE) 会议论文  OAI收割
International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011, November 19, 2011 - November 23, 2011, Suzhou, China
作者:  
Zhang X.;  Zhang J.;  Zhang J.;  Zhang X.;  Zhang X.
收藏  |  浏览/下载:68/0  |  提交时间:2013/03/25
Vision-based human action recognition provides an advanced interface  and research in this field of human action recognition has been actively carried out. This paper describes a scheme for recognizing human actions from a video sequences. The proposed method is an extension of the Motion History Image(MHI) method based on the ordinal measure of accumulated motion  which is robust to variations of appearances. We define the accumulated motion image(AMI) using image differences firstly. Then the AMI of the video sequencesis resized to a MN regulation following the standard of training phases. Finally  we employ Support Vector Machine(SVM) as a classifier to distinguish the current activity in target video sequences. In a word  our proposed algorithm not only outperforms the state of art on public available KTH data set and Weizmann data set  but also proves practical to some real world applications  in addition  this method is computationally simple and able to achieve a satisfactory accuracy.  
Multi-focus image fusion algorithm based on adaptive PCNN and wavelet transform (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, May 24, 2011 - May 26, 2011, Beijing, China
Wu Z.-G.; Wang M.-J.; Han G.-L.
收藏  |  浏览/下载:77/0  |  提交时间:2013/03/25
Being an efficient method of information fusion  image fusion has been used in many fields such as machine vision  medical diagnosis  military applications and remote sensing.In this paper  Pulse Coupled Neural Network (PCNN) is introduced in this research field for its interesting properties in image processing  including segmentation  target recognition et al.  and a novel algorithm based on PCNN and Wavelet Transform for Multi-focus image fusion is proposed. First  the two original images are decomposed by wavelet transform. Then  based on the PCNN  a fusion rule in the Wavelet domain is given. This algorithm uses the wavelet coefficient in each frequency domain as the linking strength  so that its value can be chosen adaptively. Wavelet coefficients map to the range of image gray-scale. The output threshold function attenuates to minimum gray over time. Then all pixels of image get the ignition. So  the output of PCNN in each iteration time is ignition wavelet coefficients of threshold strength in different time. At this moment  the sequences of ignition of wavelet coefficients represent ignition timing of each neuron. The ignition timing of PCNN in each neuron is mapped to corresponding image gray-scale range  which is a picture of ignition timing mapping. Then it can judge the targets in the neuron are obvious features or not obvious. The fusion coefficients are decided by the compare-selection operator with the firing time gradient maps and the fusion image is reconstructed by wavelet inverse transform. Furthermore  by this algorithm  the threshold adjusting constant is estimated by appointed iteration number. Furthermore  In order to sufficient reflect order of the firing time  the threshold adjusting constant is estimated by appointed iteration number. So after the iteration achieved  each of the wavelet coefficient is activated. In order to verify the effectiveness of proposed rules  the experiments upon Multi-focus image are done. Moreover  comparative results of evaluating fusion quality are listed. The experimental results show that the method can effectively enhance the edge details and improve the spatial resolution of the image. 2011 SPIE.  
Development situation and trend of domestic and international aerial mapping camera (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
Ming L. W.; Xue L.; Hui C. X.; Jun L. Q.
收藏  |  浏览/下载:26/0  |  提交时间:2013/03/25
In the modern military affairs  especially in the complex field  the acquirement of real-time battlefield information and intelligence is getting more and more important  most of this work is completed by aerial reconnaissance or aerial mapping equipment. Aerial mapping camera  with time-sensitive and flexible features  is playing an increasingly important role in modern warfare. With the development of technology  aerial mapping camera has also gone through several generations  gradually from film-based type to transmission type. The theory and composition of domestic and international typical aerial mapping camera is introduced from the development situation and trend in this paper. Finally  with the domestic research status  the development trend of aerial mapping camera is proposed. 2011 IEEE.