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12条,第1-10条 帮助

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Effectiveness of predicting spatial contaminant distributions at industrial sites using partitioned interpolation method 期刊论文  OAI收割
ENVIRONMENTAL GEOCHEMISTRY AND HEALTH, 2020, 页码: 14
作者:  
Qiao, Pengwei;  Yang, Sucai;  Wei, Wenxia;  Li, Peizhong;  Cheng, Yanjun
  |  收藏  |  浏览/下载:31/0  |  提交时间:2021/03/18
Fiber optic distributed temperature sensing for fire source localization 期刊论文  OAI收割
MEASUREMENT SCIENCE AND TECHNOLOGY, 2017, 卷号: 28, 期号: 8
作者:  
Sun, Miao;  Tang, Yuquan;  Yang, Shuang;  Sigrist, Markus W.;  Li, Jun
收藏  |  浏览/下载:53/0  |  提交时间:2018/07/27
Spatial prediction of soil organic matter content integrating artificial neural network and ordinary kriging in Tibetan Plateau 期刊论文  OAI收割
ECOLOGICAL INDICATORS, 2014, 卷号: 45, 页码: 184-194
作者:  
Dai, Fuqiang;  Zhou, Qigang;  Lv, Zhiqiang;  Wang, Xuemei;  Liu, Gangcai
收藏  |  浏览/下载:23/0  |  提交时间:2015/06/23
Error analysis of the micro temperature control system (EI CONFERENCE) 会议论文  OAI收割
2012 International Conference on Measurement, Instrumentation and Automation, ICMIA 2012, September 15, 2012 - September 16, 2012, Guangzhou, China
Han Z.; Song K.
收藏  |  浏览/下载:48/0  |  提交时间:2013/03/25
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.  
Random vibration analysis on the support of strapdown inertial navigation system (EI CONFERENCE) 会议论文  OAI收割
2nd Annual Conference on Electrical and Control Engineering, ICECE 2011, September 16, 2011 - September 18, 2011, Yichang, China
作者:  
Li M.
收藏  |  浏览/下载:27/0  |  提交时间:2013/03/25
Vibration of the support is an important factor to the accuracy of strapdown inertial navigation. To get vibration characteristics of the support  FEM model of the support was created with Ansys  and then response characteristics were analyzed on the support under the separated random loads during carrier flight  including the phases of subsonic and subsonic. To validate the analysis method  wide band random vibration test was done on the points of the support  which are used for mounting inertial instruments. The comparison of the analysis and the test data shows that the relative error of analysis result is not more than 13%. According to the two results the support structure was improved. Finally random vibration analysis was carried out on the improved one. The result shows that the acceleration response was largely reduced than before. This research can be a reference of performance improvement of the strapdown inertial support and navigation system precision. 2011 IEEE.  
The error analysis of automated biochemical analyzer (EI CONFERENCE) 会议论文  OAI收割
2011 International Conference on Computing, Information and Control, ICCIC 2011, September 17, 2011 - September 18, 2011, Wuhan, China
Qinghai C.; Yihui W.; Haiwen L.; Peng H.
收藏  |  浏览/下载:31/0  |  提交时间:2013/03/25
Improving the accuracy of image-based forest fire recognition and spatial positioning 期刊论文  iSwitch采集
Science china-technological sciences, 2010, 卷号: 53, 页码: 184-190
作者:  
Jiang LiLi;  Qi QingWen;  Zhang An;  Guo ChaoHui;  Cheng Xi
收藏  |  浏览/下载:27/0  |  提交时间:2019/05/10
Improving the accuracy of image-based forest fire recognition and spatial positioning SCI/SSCI论文  OAI收割
2010
作者:  
Zhang A.
收藏  |  浏览/下载:23/0  |  提交时间:2012/06/08
Non-contact and on-line cone diameter measuring based on high speed linear CCD (EI CONFERENCE) 会议论文  OAI收割
2nd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, November 2, 2005 - November 5, 2005, Zian, China
Guohui Z.; Jianhua W.
收藏  |  浏览/下载:34/0  |  提交时间:2013/03/25
The remarkable improvement of sensing and processing hardware performance makes the non-contact  on-line  high accuracy and high speed measuring possible by means of linear CCD. The goal of this pager is to describe the key questions on designing the cone diameter detecting system by linear CCD. This paper first describes the detecting scheme. In particular  the factors affecting accuracy  such as resolution  voltage difference between neighbor pixels  detecting rate and so on  are analyzed  and the quantitative estimation equations are provided. CCD takes on the photoelectric translation and measuring component double functions  so the waveform of CCD output signal and the affecting factors merit deep discussion. On the basis of discussion  several principles that can be used to improve the boundary recognition accuracy are presented.