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ASSESSMENT OF REGIONAL WATER RESOURCE CARRYING CAPACITY BY THE CONNECTION NUMBER OF SET PAIR ANALYSIS 期刊论文  OAI收割
THERMAL SCIENCE, 2024, 卷号: 28, 期号: 3A, 页码: 2287-2294
作者:  
Jin, Da -Tang;  Zhou, Ting;  Yang, Xiao-Hua;  Lu, Yu;  Wang, Kai -Wen
  |  收藏  |  浏览/下载:6/0  |  提交时间:2024/08/30
Rare Copy Number Variants Identify Novel Genes in Sporadic Total Anomalous Pulmonary Vein Connection 期刊论文  OAI收割
FRONTIERS IN GENETICS, 2018, 卷号: 16, 期号: 6, 页码: 559
作者:  
Shi, Xin;  Cheng, Liangping;  Jiao, XianTing;  Chen, Bo;  Wang, Jing
  |  收藏  |  浏览/下载:27/0  |  提交时间:2020/12/09
Circulating microRNAs: a novel potential biomarker for diagnosing acute aortic dissection 期刊论文  OAI收割
SCIENTIFIC REPORTS, 2017, 卷号: 7, 期号: -, 页码: 12784
作者:  
Dong, Jian;  Bao, Junmin;  Feng, Rui;  Zhao, Zhiqing;  Lu, Qingsheng
  |  收藏  |  浏览/下载:19/0  |  提交时间:2020/12/09
Algorithm on rainbow connection for maximal outerplanar graphs 期刊论文  OAI收割
THEORETICAL COMPUTER SCIENCE, 2016, 卷号: 651, 页码: 76-86
作者:  
Deng, Xingchao;  Li, Hengzhe;  Yan, Guiying
  |  收藏  |  浏览/下载:25/0  |  提交时间:2018/07/30
Risk evaluation of China's natural disaster systems: an approach based on triangular fuzzy numbers and stochastic simulation 期刊论文  OAI收割
NATURAL HAZARDS, 2012, 卷号: 62, 期号: 1, 页码: 11,129-139
Jin, JL; Wei, YM; Zou, LL; Liu, L; Fu, J
收藏  |  浏览/下载:25/0  |  提交时间:2012/11/12
The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者:  
Sun H.;  Han H.-X.;  Sun H.
收藏  |  浏览/下载:60/0  |  提交时间:2013/03/25
Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring  precision  and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection  the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure  but in order to capture the change of the state space  it need a certain amount of particles to ensure samples is enough  and this number will increase in accompany with dimension and increase exponentially  this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining"  we expand the classic Mean Shift tracking framework.Based on the previous perspective  we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis  Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism  used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation  and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information  this approach also inhibit interference from the background  ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).  
Designing and development of multi-DSP real-time image processing system based on FPGA (EI CONFERENCE) 会议论文  OAI收割
2011 International Conference on Computer Science and Network Technology, ICCSNT 2011, December 24, 2011 - December 26, 2011, Harbin, China
Wei H.
收藏  |  浏览/下载:21/0  |  提交时间:2013/03/25
To improve the image processing system of resolution capability and reliability  image processing system in a growing number of multi-sensor model. In this mode  the use of the current main stream single DSP + FPGA hardware architecture for image processing algorithms have already unable to meet the operational requirements of real-time. This paper proposed a new hardware architecture that is the three DSPs based on FPGA. With the traditional master-slave architectures is different  three DSP's external interfaces are connected with FPGA and other peripheral interfaces are connected to the FPGA. In the architecture  DSP is in the same position three and FPGA flow control for data management and other function to achieve. This connection has a strong restructuring and expansion  software development and more flexible. 2011 IEEE.