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Experimental Investigation of the Operating Characteristics of a Pulsating Heat Pipe with Ultra-Pure Water and Micro Encapsulated Phase Change Material Suspension 期刊论文  OAI收割
JOURNAL OF THERMAL SCIENCE, 2023
作者:  
Shi, Weixiu;  Su, Xiaoyang;  Chen, Hongdi;  Pan LS(潘利生)
  |  收藏  |  浏览/下载:28/0  |  提交时间:2023/07/17
Effects of land use change on ecosystem services in the China-Mongolia-Russia economic corridor 期刊论文  OAI收割
JOURNAL OF CLEANER PRODUCTION, 2022, 卷号: 360, 页码: 14
作者:  
Li, Jingwen;  Dong, Suocheng;  Li, Yu;  Wang, Yusheng;  Li, Zehong
  |  收藏  |  浏览/下载:34/0  |  提交时间:2022/09/21
Effects of land use change on ecosystem services in the China-Mongolia-Russia economic corridor 期刊论文  OAI收割
JOURNAL OF CLEANER PRODUCTION, 2022, 卷号: 360, 页码: 14
作者:  
Li, Jingwen;  Dong, Suocheng;  Li, Yu;  Wang, Yusheng;  Li, Zehong
  |  收藏  |  浏览/下载:18/0  |  提交时间:2022/09/21
Characterization of temperature difference between the neighbouring days in China and its potential driving factors 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 卷号: 39, 期号: 12, 页码: 4659-4668
作者:  
Tian, Peipei;  Lu, Hongwei;  Xue, Yuxuan
  |  收藏  |  浏览/下载:54/0  |  提交时间:2020/05/19
Characterization of temperature difference between the neighbouring days in China and its potential driving factors 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 卷号: 39, 期号: 12, 页码: 4659-4668
作者:  
Tian, Peipei;  Lu, Hongwei;  Xue, Yuxuan
  |  收藏  |  浏览/下载:20/0  |  提交时间:2020/05/19
海河流域径流与水环境变化特征及成因分析 学位论文  OAI收割
博士后, 北京: 中国科学院研究生院, 2015
作者:  
徐华山
收藏  |  浏览/下载:214/0  |  提交时间:2016/08/10
Three-loop autopilot design and simulation (EI CONFERENCE) 会议论文  OAI收割
2012 9th IEEE International Conference on Mechatronics and Automation, ICMA 2012, August 5, 2012 - August 8, 2012, Chengdu, China
作者:  
Zhang Y.
收藏  |  浏览/下载:44/0  |  提交时间:2013/03/25
In order to realize missile real-time change flight trajectory  three-loop autopilot is setting up. The structure characteristics  autopilot model  and control parameters design method were researched. Firstly  this paper introduced the 11th order three-loop autopilot model. With the principle of systems reduce model order  the 5th order model was deduced. On that basis  open-loop frequency characteristic and closed-loop frequency characteristic were analyzed. The variables of velocity ratio  dynamic pressure ratio and elevator efficiency ratio were leading to correct system nonlinear. And then autopilot gains design method were induced. System flight simulations were done  and result shows that autopilot gains played a good job in the flight trajectory  autopilot satisfied the flight index. 2012 IEEE.  
基于水资源分区和地貌特征的新疆耕地资源变化分析[J] 期刊论文  OAI收割
自然资源学报, 2012, 卷号: 11, 页码: 1809-1822
作者:  
程维明;  柴慧霞;  方月;  周成虎;  田长彦
  |  收藏  |  浏览/下载:24/0  |  提交时间:2017/12/29
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).  
Cr image enhancement based on human visual characteristics (EI CONFERENCE) 会议论文  OAI收割
2010 International Conference on Computer Design and Applications, ICCDA 2010, June 25, 2010 - June 27, 2010, Qinhuangdao, Hebei, China
Zhang M.-H.; Zhang Y.-Y.
收藏  |  浏览/下载:29/0  |  提交时间:2013/03/25
The characteristic of digital CR medicine radiation image has wide dynamic range  abundant details and bad contrast  so it is necessary to enhance CR image to the need of doctor diagnosis. But the general enhancement algorithms don't consider human visual characteristics  so it puts forward CR medicine image adaptive enhancement algorithm combining the human visual property  which is more sensitive to smooth area noise compared with detail area noise  and makes image edge detail enhancement great in detail area  and detail enhancement little in smooth area  in which factor K is based on space change of image domain  accordingly gaining non-linear enhancement edge details of CR image. Experiment results demonstrate that the algorithm enhances CR image detail and CR image enhanced has good visual effect  so the method is fit for edge detail enhancement of CR medicine radiation image. 2010 IEEE.