机构

• 长春光学精密机械与物... [2]
• 力学研究所 [1]
• 地理科学与资源研究所 [1]
• 数学与系统科学研究院 [1]

采集方式

• OAI收割 [5]

内容类型

• 会议论文 [2]
• 期刊论文 [2]
• SCI/SSCI论文 [1]

发表日期

• 2023 [1]
• 2015 [1]
• 2014 [1]
• 2010 [1]
• 2009 [1]

学科主题

筛选

浏览/检索结果: 共5条，第1-5条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序作者升序作者降序题名升序题名降序发表日期升序发表日期降序 Applying Massively Parallel Interface for MPFA scheme with advanced linearization for fluid flow in porous media 期刊论文  OAI收割 JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2023, 卷号: 220, 页码: 18 作者:  Li LL(李龙龙);  Khait, Mark;  Voskov, Denis;  Terekhov, KirillM;  Abushaikha, Ahmad   |  收藏  |  浏览/下载：51/0  |  提交时间：2022/12/29 Reservoir simulation  Parallel framework  Multipoint flux approximation  Operator -based linearization  Unstructured grid  Full tensor permeability   Effective algorithms for computing triangular operator in Schubert calculus 期刊论文  OAI收割 FRONTIERS OF MATHEMATICS IN CHINA, 2015, 卷号: 10, 期号: 1, 页码: 221-237 作者:  Zhang Kai;  Zhang Jiachuan;  Duan Haibao   |  收藏  |  浏览/下载：42/0  |  提交时间：2021/01/14 Triangular operator  Schubert calculus  parallel algorithm  central binomial coefficient   A strategy for raster-based geocomputation under different parallel computing platforms SCI/SSCI论文  OAI收割 2014 Qin C. Z.; Zhan L. J.; Zhu A. X.; Zhou C. H. 收藏  |  浏览/下载：49/0  |  提交时间：2014/12/24 message passing interface (MPI)  parallel operator  cluster  geocomputation  parallel computing  open multiprocessing (OpenMP)  raster  compute unified device architecture (CUDA)  graphics processing  unit (GPU)  performance   Far-field focusing of laser beam based on digital image processing techniques (EI CONFERENCE) 会议论文  OAI收割 Optoelectronic Imaging and Multimedia Technology, October 18, 2010 - October 20, 2010, Beijing, China 作者:  Zhao S.;  Tian Y.-Z.;  Liu L.-S.;  Guo J.;  Zhang H.-Y. 收藏  |  浏览/下载：41/0  |  提交时间：2013/03/25 In order to lead the laser beam transmit in the atmosphere convergently  an experiment of laser focus at the distance of 450m and 300m has been operated in the outdoor place. The actual manipulations are as follows: Firstly  the laser was collimated by a beam expander  then the near-parallel laser beam was transmitted with a Galileo telescope system  and the distance between the concave lens and the convex lens can be tuned through a precise displacement platform  so the focus of the system changed due to the tiny displacement of the concave lens. Secondly  the average power of the laser spot can be measured using power meter  the power is 47.67mW and the standard deviation is 0.67mW while the focal length is 450m. Thirdly  the energy distribution was found through the laser beam analyzer. The spot images were saved using the beam analyzer  then the saved image can be processed with Matlab software afterwards. The function named EDGE and Sobel operator was used in the pre-processing of the saved image  then method of median filter was used in the course of image de-noising and 53H filter was adopted in the signal analysis. The diameter of laser spot was obtained by the method above  the diameter is 5.56mm and the standard deviation is 0.24mm. The spot center excursion is 0.56mm  it is 10.43% of the total diameter of the laser spot. At last  the key factors of the energy dissipation in the focusing system can be summarized as follows: restriction of the diffraction limit  attenuation in the atmosphere  geometrical aberration of optical system  and the diffraction limit and the geometrical aberration are significant in the three factors above  so we can reduce the impact of the both factors during the design of optical system. The reliable referenced data of the system design can be acquired through the primary experiment research. 2010 SPIE.   Input plane preprocessing of joint transform correlator based on Swarm Intelligence (EI CONFERENCE) 会议论文  OAI收割 2009 2nd International Congress on Image and Signal Processing, CISP'09, October 17, 2009 - October 19, 2009, Tianjin, China Yong W.; Ming Z. 收藏  |  浏览/下载：34/0  |  提交时间：2013/03/25 Input plane image preprocessing can improve the performance of Joint Transform Correlator(JTC). Swarm Intelligence based image processing method is consistent with the parallel characteristic of optical signal processing method. In this paper  A Swarm Intelligence based input plane preprocessing method is proposed. Some other methods are also used to perform the task  such as grayscale transform  Sobel operator and mathematical morphology. The experimental results show that the performance of the proposed Swarm Intelligence preprocessing based JTC is better than that of the JTC based on other preprocessing methods. 2009 IEEE.