中国科学院机构知识库网格系统: 检索

Effects of CO2 Leakage from Carbon Capture and Storage on Lettuce Morphology and Nutritional Content 期刊论文 OAI收割
JOURNAL OF SOIL SCIENCE AND PLANT NUTRITION, 2025, 卷号: N/A
作者: Huang, Ying; Zhang, Xueyan; Ma, Xin

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收藏 | 浏览/下载：13/0 | 提交时间：2025/04/21

Lettuce Simulated experiment Quality change CO2 leakage Carbon capture and storage

“一带一路”沿线主要国家碳捕集、利用和封存潜力与前景研究 期刊论文 OAI收割
气候变化研究进展, 2020, 卷号: 16, 期号: 5, 页码: 609
作者: 孙丽丽; 崔惠娟; 葛全胜

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收藏 | 浏览/下载：23/0 | 提交时间：2021/03/16

Carbon capture utilization and storage (CCUS) Belt and Road Initiative (BRI) CO_2 storage capacity Evaluation method Climate change 碳捕集、利用和封存(CCUS) 一带一路 CO_2封存潜力评估方法气候变化

“一带一路”沿线主要国家碳捕集、利用和封存潜力与前景研究 期刊论文 OAI收割
气候变化研究进展, 2020, 卷号: 16, 期号: 5, 页码: 609
作者: 孙丽丽; 崔惠娟; 葛全胜

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收藏 | 浏览/下载：12/0 | 提交时间：2021/03/16

Carbon capture utilization and storage (CCUS) Belt and Road Initiative (BRI) CO_2 storage capacity Evaluation method Climate change 碳捕集、利用和封存(CCUS) 一带一路 CO_2封存潜力评估方法气候变化

China's carbon capture, utilization and storage (CCUS) policy: A critical review 会议录 OAI收割
作者: Jiang, Kai; Ashworth, Peta; Zhang, Shiyi; Liang, Xi; Sun, Yan

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收藏 | 浏览/下载：47/0 | 提交时间：2019/12/23

Carbon capture Climate change

Public awareness of the environmental impact and management of carbon dioxide capture, utilization and storage technology: the views of educated people in China 期刊论文 OAI收割
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY, 2017, 卷号: 19, 期号: 8, 页码: 2041-2056
作者: Li, Xiaochun; Chen, Zheng-Ao; Liu, Lan-Cui; Leamon, Gregory; Cai, Bofeng

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收藏 | 浏览/下载：25/0 | 提交时间：2018/06/05

Carbon dioxide capture utilization and storage (CCUS) Public perception Environmental management Low-carbon technology Climate change

A large national survey of public perceptions of CCS technology in China 期刊论文 OAI收割
APPLIED ENERGY, 2015, 卷号: 158, 页码: 366-377
作者: Chen, Zheng-Ao; Li, Qi; Liu, Lan-Cui; Zhang, Xian; Kuang, Liping

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收藏 | 浏览/下载：13/0 | 提交时间：2018/06/05

National survey Public perception Carbon capture and storage CCS Climate change SWOT

The effect of drought stress on self-organisation in a seasonal tropical rainforest SCI/SSCI论文 OAI收割
2013
Song Q. H.; Lin H.; Zhang Y. P.; Tan Z. H.; Zhao J. F.; Zhao J. B.; Zhang X.; Zhou W. J.; Yu L.; Yang L. Y.; Yu G. R.; Sun X. M.

收藏 | 浏览/下载：35/0 | 提交时间：2014/12/24

Self-organisation Exergy capture ability Tropical rainforest Drought stress climate-change amazon forest responses canopies

Examining CCS deployment potential in China via application of an integrated CCS cost curve 会议论文 OAI收割
Kyoto, JAPAN, NOV 18-22, 2012
作者: Dahowski, R. T.; Davidson, C. L.; Li, X. C.; Wei, N.

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收藏 | 浏览/下载：18/0 | 提交时间：2018/06/05

Carbon dioxide capture and storage CCS cost curve China source-sink matching climate change

A $70/tCO(2) greenhouse gas mitigation backstop for China's industrial and electric power sectors: Insights from a comprehensive CCS cost curve 期刊论文 OAI收割
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, 2012, 卷号: 11, 页码: 73-85
作者: Dahowski, R. T.; Davidson, C. L.; Li, X. C.; Wei, N.

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收藏 | 浏览/下载：17/0 | 提交时间：2018/06/05

Carbon dioxide capture and storage CCS China Cost curve Climate change

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).