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Chinese Academy of Sciences Institutional Repositories Grid
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A Novel Approach for State of Health Estimation and Remaining Useful Life Prediction of Supercapacitors Using an Improved Honey Badger Algorithm Assisted Hybrid Neural Network 期刊论文  OAI收割
PROTECTION AND CONTROL OF MODERN POWER SYSTEMS, 2024, 卷号: 9, 期号: 6, 页码: 1-18
作者:  
Yi, Zhenxiao;  Wang, Shi;  Li, Zhaoting;  Wang, Licheng;  Wang, Kai
  |  收藏  |  浏览/下载:4/0  |  提交时间:2024/12/06
Pearl: A Multi-Derivation Approach to Efficient CFL-Reachability Solving 期刊论文  OAI收割
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 2024, 卷号: 50, 期号: 9, 页码: 2379-2397
作者:  
Shi, Chenghang;  Li, Haofeng;  Sui, Yulei;  Lu, Jie;  Li, Lian
  |  收藏  |  浏览/下载:1/0  |  提交时间:2024/12/06
Mining Both Commonality and Specificity From Multiple Documents for Multi-Document Summarization 期刊论文  OAI收割
IEEE ACCESS, 2024, 卷号: 12, 页码: 54371-54381
作者:  
Ma, Bing
  |  收藏  |  浏览/下载:5/0  |  提交时间:2024/05/20
Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys 期刊论文  OAI收割
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 2, 页码: 1046-1056
作者:  
Chen, Long;  Li, Yuchen;  Huang, Chao;  Li, Bai;  Xing, Yang
  |  收藏  |  浏览/下载:15/0  |  提交时间:2023/11/17
A Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data 期刊论文  OAI收割
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 14
作者:  
Yuan, Ye;  Luo, Xin;  Shang, Mingsheng;  Wang, Zidong
  |  收藏  |  浏览/下载:35/0  |  提交时间:2022/08/22
A New Subspace Clustering Strategy for AI-Based Data Analysis in IoT System 期刊论文  OAI收割
IEEE INTERNET OF THINGS JOURNAL, 2021, 卷号: 8, 期号: 16, 页码: 12540-12549
作者:  
Cui, Zhihua;  Jing, Xuechun;  Zhao, Peng;  Zhang, Wensheng;  Chen, Jinjun
  |  收藏  |  浏览/下载:37/0  |  提交时间:2021/11/02
Lattice Boltzmann method with immersed spring boundaries for flow around deformable porous media 会议论文  OAI收割
Beijing Computat Sci Res Ctr, Beijing, PEOPLES R CHINA, JUL 20-24, 2015
作者:  
Wang, Limin;  Zhang, Lin
  |  收藏  |  浏览/下载:32/0  |  提交时间:2019/06/21
A line mapping based automatic registration algorithm of infrared and visible images 会议论文  OAI收割
5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013
作者:  
Ai R(艾锐);  Shi ZL(史泽林);  Xu DJ(徐德江);  Zhang CS(张程硕)
收藏  |  浏览/下载:36/0  |  提交时间:2013/12/26
There exist complex gray mapping relationships among infrared and visible images because of the different imaging mechanisms. The difficulty of infrared and visible image registration is to find a reasonable similarity definition. In this paper, we develop a novel image similarity called implicit linesegment similarity(ILS) and a registration algorithm of infrared and visible images based on ILS. Essentially, the algorithm achieves image registration by aligning the corresponding line segment features in two images. First, we extract line segment features and record their coordinate positions in one of the images, and map these line segments into the second image based on the geometric transformation model. Then we iteratively maximize the degree of similarity between the line segment features and correspondence regions in the second image to obtain the model parameters. The advantage of doing this is no need directly measuring the gray similarity between the two images. We adopt a multi-resolution analysis method to calculate the model parameters from coarse to fine on Gaussian scale space. The geometric transformation parameters are finally obtained by the improved Powell algorithm. Comparative experiments demonstrate that the proposed algorithm can effectively achieve the automatic registration for infrared and visible images, and under considerable accuracy it makes a more significant improvement on computational efficiency and anti-noise ability than previously proposed algorithms.  
The research of digltal CR medicine image adapitive enhancement method (EI CONFERENCE) 会议论文  OAI收割
4th International Conference on Mechanical and Electrical Technology, ICMET 2012, July 24, 2012 - July 26, 2012, Kuala Lumpur, Malaysia
Ming-Hui Z.; Yao-Yu Z.
收藏  |  浏览/下载:65/0  |  提交时间:2013/03/25
Digital CR medicine radiation image is in doctor's favor and has became medicine imaging technology new hot spot because of its high gray contrast  powerful computer disposal function  little radiation dosage  non-film diagnosis  different area consultation. But degradation of digital X-ray medical image such as low contrast and blurring during radiographic imaging  caused by complexity of body tissue and effects of X-ray scattering and electrical noise etc.  can worsen the results of analysis and diagnosis. So it is usually needed that CR medicine image is enhanced to improve its vision quality  and easy to doctor's more accurate diagnosis. The general enhancement algorithms over enhancing the contrast and lose image details  aiming at the defects  an enhancement algorithm for CR image is proposed based on the ratio of deviation to mean of domain. The arithmetic enhance CR image edge details by adjusting factor K based on the ratio of deviation to mean of domain of CR image. Experiment results demonstrate that the algorithm enhances CR image detail and CR image enhanced has good visual effect  the adaptive enhancement method is fit for CR medicine image. (2012) Trans Tech Publications  Switzerland.  
a queueing theory based approach to qos-driven adaptation for service discovery over manets 会议论文  OAI收割
15th IEEE International Conference on Computational Science and Engineering, CSE 2012 and 10th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2012, Paphos, Cyprus, December 5, 2012 - December 7, 2012
Wen Yuanfeng; Jin Beihong; Li Keqin; Cheng Albert M.K.; Fang Wenjing
  |  收藏  |  浏览/下载:20/0  |  提交时间:2013/09/22