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浏览/检索结果: 共11条，第1-10条 帮助

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Size effect on the thermal and mechanical performance of cylindrical lithium-ion batteries 期刊论文  OAI收割
APPLIED ENERGY, 2024, 卷号: 375, 页码: 12
作者:  Liu J(刘锦);  Chen CG(陈春光);  Wen JC(温济慈);  Chang ZH(常正华);  Notten, Peter HL
  |  收藏  |  浏览/下载：9/0  |  提交时间：2024/09/18
Preparation for industrial pellet production from blends of eucalyptus sawdust and hydrolysis lignin: the optimal variable combinations of co-pelletization 期刊论文  OAI收割
BIOMASS CONVERSION AND BIOREFINERY, 2020, 卷号: 10, 期号: 2, 页码: 513-521
作者:  Li, Weizhen;  Bu, Wenjing;  Guo, Weiwei;  Jiang, Yang;  Wang, An
  |  收藏  |  浏览/下载：21/0  |  提交时间：2020/10/30
Modeling and optimization of composite thermal insulation system with HGMs and VDMLI for liquid hydrogen on orbit storage 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2020, 卷号: 45, 期号: 11, 页码: 7088-7097
作者:  Wang, Ping
  |  收藏  |  浏览/下载：27/0  |  提交时间：2020/05/24
Thermal Transport in High-Strength Polymethacrylimide (PMI) Foam Insulations 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF THERMOPHYSICS, 2015, 卷号: 36, 期号: 10-11, 页码: 2523-2534
作者:  Qiu, L.;  Zheng, X. H.;  Zhu, J.;  Tang, D. W.;  Yang, S. Y.
收藏  |  浏览/下载：21/0  |  提交时间：2016/02/17
Thermal Transport in High-Strength Polymethacrylimide (PMI) Foam Insulations 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF THERMOPHYSICS, 2015, 卷号: 36, 期号: 10-11, 页码: 2523-2534
作者:  Qiu, L.;  Zheng, X. H.;  Zhu, J.;  Tang, D. W.;  Yang, S. Y.
收藏  |  浏览/下载：24/0  |  提交时间：2016/01/12
Variations of snow temperature and their influence on snow cover physical parameters in the Western Tianshan Mountains, China 期刊论文  OAI收割
JOURNAL OF MOUNTAIN SCIENCE, 2011, 卷号: 8, 期号: 6, 页码: 827–837
Chen Xia; Wei WenShou; Liu MingZhe; Gu GuangQin
收藏  |  浏览/下载：55/0  |  提交时间：2013/08/12
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).  
Theoretical analysis of emission characteristics of second-order distributed feedback semiconductor lasers (EI CONFERENCE) 会议论文  OAI收割
Semiconductor Lasers and Applications IV, October 18, 2010 - October 19, 2010, Beijing, China
作者:  Liu Y.;  Liu Y.;  Qin L.;  Liu Y.;  Wang L.
收藏  |  浏览/下载：28/0  |  提交时间：2013/03/25
Based on the modified coupled-wave theory  the emission characteristics  including threshold gain  photon density distribution in the cavity  and external differential quantum efficiency for second-order DFB lasers are investigated. Numerical simulation results show that for given device structure with wavelength of 1.55 m  the feedback coupling coefficient and the surface radiation coupling coefficient of the second-order grating have great influence on the emission characteristics of the device. By choosing different duty cycles of the grating  we can change the two coupling coefficients  which affect the emission characteristics. For an overall consideration  an optimal duty cycle of 0.43 is chosen. The optimized results show that the device works without degeneracy modes and spatial burning hole. Besides  the side-mode suppress ratio (SMSR) and external differential quantum efficiency reach as high as 42 dB and 47%  respectively. 2010 SPIE.  
随机分布控制及其在焊缝跟踪系统中的可行性研究 学位论文  OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2008
作者:  陈海永
收藏  |  浏览/下载：48/0  |  提交时间：2015/09/02
Integrated intensity, orientation code and spatial information for robust tracking (EI CONFERENCE) 会议论文  OAI收割
2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007, May 23, 2007 - May 25, 2007, Harbin, China
作者:  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载：28/0  |  提交时间：2013/03/25
real-time tracking is an important topic in computer vision. Conventional single cue algorithms typically fail outside limited tracking conditions. Integration of multimodal visual cues with complementary failure modes allows tracking to continue despite losing individual cues. In this paper  we combine intensity  orientation codes and special information to form a new intensity-orientation codes-special (IOS) feature to represent the target. The intensity feature is not affected by the shape variance of object and has good stability. Orientation codes matching is robust for searching object in cluttered environments even in the cases of illumination fluctuations resulting from shadowing or highlighting  etc The spatial locations of the pixels are used which allow us to take into account the spatial information which is lost in traditional histogram. Histograms of intensity  orientation codes and spatial information are employed for represent the target Mean shift algorithm is a nonparametric density estimation method. The fast and optimal mode matching can be achieved by this method. In order to reduce the compute time  we use the mean shift procedure to reach the target localization. Experiment results show that the new method can successfully cope with clutter  partial occlusions  illumination change  and target variations such as scale and rotation. The computational complexity is very low. If the size of the target is 3628 pixels  it only needs 12ms to complete the method. 2007 IEEE.