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Nuclear Pollution or Safe Discharge: Topic Evolution and Cognitive Analysis on Fukushima's Treated Radioactive Water 期刊论文  OAI收割
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2024, 页码: 10
作者:  
Liu, Xin;  Chen, Ziliang;  Wang, Fei-Yue;  Yang, Dawei;  Qin, Rui
  |  收藏  |  浏览/下载:7/0  |  提交时间:2024/09/09
Quantum Network: Security Assessment and Key Management 期刊论文  OAI收割
IEEE-ACM TRANSACTIONS ON NETWORKING, 2022, 卷号: 30, 期号: 3, 页码: 1328-1339
作者:  
Zhou, Hongyi;  Lv, Kefan;  Huang, Longbo;  Ma, Xiongfeng
  |  收藏  |  浏览/下载:23/0  |  提交时间:2022/12/07
GPENs: Graph Data Learning With Graph Propagation-Embedding Networks 期刊论文  OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14
作者:  
Jiang, Bo;  Wang, Leiling
  |  收藏  |  浏览/下载:29/0  |  提交时间:2022/01/27
ISEE: An Intelligent Scene Exploration and Evaluation Platform for Large-Scale Visual Surveillance 期刊论文  OAI收割
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2019, 卷号: 30, 期号: 12, 页码: 2743-2758
作者:  
Li, Da;  Zhang, Zhang;  Yu, Kai;  Huang, Kaiqi;  Tan, Tieniu
  |  收藏  |  浏览/下载:49/0  |  提交时间:2020/03/30
Research on digital video signal electromagnetic information leakage based on DVI 会议论文  OAI收割
Ottawa, ON, Canada, JUL 25-29, 2016
作者:  
Qiu, Yang;  Xu, Qinglin;  Tian, Jin;  Wang, Sen
  |  收藏  |  浏览/下载:20/0  |  提交时间:2017/07/04
Vertical accuracy assessment of SRTM and ASTER GDEM over coastal regions of China: A comparative analysis 会议论文  OAI收割
33rd Asian Conference on Remote Sensing 2012, ACRS 2012,, Pattaya, Thailand, November 26, 2012 - November 30,2012
Du, Xiaoping; Guo, Huadong; Fan, Xiangtao; Zhu, Junjie; Yan, Zhenzhen; Zhan, Qin
收藏  |  浏览/下载:41/0  |  提交时间:2014/12/07
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:59/0  |  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).  
time series analysis for bug number prediction 会议论文  OAI收割
2nd International Conference on Software Engineering and Data Mining, SEDM 2010, Chengdu, China, 37430
Wu Wenjin; Zhang Wen; Yang Ye; Wang Qing
  |  收藏  |  浏览/下载:15/0  |  提交时间:2011/03/31
Feature based visualization algorithm for large-scale flow data 会议论文  OAI收割
2010 International Conference on Computer Modeling and Simulation, ICCMS 2010,, Sanya, China, January 22, 2010 - January 24,2010
Liang, Zhong; He, ChiTian; Xin, Zhang
收藏  |  浏览/下载:19/0  |  提交时间:2014/12/07
Multiresolution animated models generation based on deformation distance analysis (EI CONFERENCE) 会议论文  OAI收割
2009 International Conference on Computer Modeling and Simulation, ICCMS 2009, February 20, 2009 - February 22, 2009, Macau, China
Shixue Z.; Enhua W.
收藏  |  浏览/下载:61/0  |  提交时间:2013/03/25
In computer graphics  animated models have been widely used to represent time-varying data. Reducing the models complexly is a common way to overcome the rendering limitations. In this paper  2009 IEEE.  we propose an efficient method for generating multiresolution animated models based on deformation distance analysis. Our method obtains different LOD models by performing iterative edge contraction operations. We use deformation distance to analysis the deformation degree of the triangle planes during the whole animation  and define a deformation weight to be added to the aggregated edge contraction cost. Thus features in areas with large deformation can be preserved well. Besides  we propose a mesh optimization method for dynamic model sequence  which can efficiently improve the temporal coherence and reduce visual artifacts between adjacent frames. The results show our approach is efficient  easy to implement  and good quality animated approximations with well-preserved fine details can be generated at any given frame. copy