中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共5条,第1-5条 帮助

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A Hierarchically Porous Carbon Fabric for Highly Sensitive Electrochemical Sensors 期刊论文  OAI收割
ADVANCED ENGINEERING MATERIALS, 2018, 卷号: 20, 期号: 1
作者:  
Yoon, Sun Mi;  Jiao, Yuan;  Cho, Seong Won;  Lee, Suyoun;  Kim, Sang Hoon
  |  收藏  |  浏览/下载:27/0  |  提交时间:2018/12/04
A substrate-independent fabrication of hollow sphere arrays via template-assisted hydrothermal approach and their application in gas sensing 期刊论文  OAI收割
SENSORS AND ACTUATORS B-CHEMICAL, 2017, 卷号: 251, 页码: 74-85
作者:  
Su, Xingsong;  Gao, Lei;  Zhou, Fei;  Duan, Guotao
  |  收藏  |  浏览/下载:40/0  |  提交时间:2018/08/16
Supercritical Carbon Dioxide Assisted Deposition of Fe3O4 Nanoparticles on Hierarchical Porous Carbon and Their LithiumStorage Performance 期刊论文  OAI收割
chemistry-a european journal, 2014, 卷号: 20, 期号: 15, 页码: 4308-4315
Wang, Lingyan; Zhuo, Linhai; Zhang, Chao; Zhao,Fengyu
收藏  |  浏览/下载:32/0  |  提交时间:2015/06/10
Preparation and application of single polyelectrolyte microcapsules possessing tunable autofluorescent properties 期刊论文  OAI收割
colloids and surfaces a-physicochemical and engineering aspects, 2008, 卷号: 329, 期号: 1-2, 页码: 58-66
Wang ZJ; Zhu H; Li D; Yang XR
收藏  |  浏览/下载:236/36  |  提交时间:2010/04/14
Detection and tracking of low contrast targets based on integertype lifting wavelet transform (EI CONFERENCE) 会议论文  OAI收割
ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China
作者:  
Wang L.;  Wang L.;  Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载:18/0  |  提交时间:2013/03/25
This paper presents a method for detecting and tracking of low contrast targets. The new method uses an integer-type lifting wavelet transform and the proposed method doesn't extract patterns similar to a template  but finds parts having the same feature in the targets. We utilize one of integer-type lifting wavelet transforms that contains rounding-off arithmetic for mapping integers to integers. The lifting term contains parameters that are learned by using standard training images of targets. We assume that the targets include many high frequency components. In order to obtain the features of the targets  the lifting parameters are determined by a condition that high frequency components are vanished in wavelet transform. But the condition cannot be determined by the parameters wholly. So  we put an additional condition of minimizing the squared sum of the lifting parameters. The advantage of using integer-type wavelet transform is simple and robust to noise. Simulation illustrated the approach can detect and track the moving targets in dim background. We would test our algorithm in the TV tracking system.