期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
Intellectual Property Policy and County Economic Growth:A Quasi-natural Experiment from the Intellectual Property Powering County Project
1
作者 Changlin Yu Bing Shen 《China & World Economy》 2024年第6期35-67,共33页
As fundamental economic units,county economies play a crucial role in China's national economic system.However,it remains unclear whether intellectual property rights policies at the county level can promote econo... As fundamental economic units,county economies play a crucial role in China's national economic system.However,it remains unclear whether intellectual property rights policies at the county level can promote economic growth.We used a quasi-natural experiment from the Intellectual Property Powering County Project("the Project")to measure their impact on county economic growth from 2009 to 2020,applying a multi-period diference-in-differences method.County economic growth indicators were measured using Enhanced Vegetation Index-calibrated nighttime light data from the Defense Meteorological Satellite Program and Visible Infrared Imaging Radiometer Suite.The findings demonstrated that the Project promoted economic growth significantly by incentivizing innovation,attracting high-tech and new-tech enterprises,and fostering brand creation.The Project also exhibited significant heterogeneity across districts and counties,along with spillover effects on economic growth in surrounding counties within approximately 80 kilometers. 展开更多
关键词 brand creation county economic growth innovation Intellectual property Powering County Project spillover effects
原文传递
Reliable iris localization using integral projection function and 2D-shape properties
2
作者 Farmanullah Jan Imran Usman Shahrukh Agha 《Chinese Optics Letters》 SCIE EI CAS CSCD 2012年第11期50-55,共6页
Iris recognition technology recognizes a human based on his/her iris pattern. However, the accuracy of the iris recognition technology depends on accurate iris localization. Localizing a pupil region in the presence o... Iris recognition technology recognizes a human based on his/her iris pattern. However, the accuracy of the iris recognition technology depends on accurate iris localization. Localizing a pupil region in the presence of other low-intensity regions, such as hairs, eyebrows, and eyelashes, is a challenging task. This study proposes an iris localization technique that includes a localizing pupillary boundary in a sub-image by using an integral projection function and two-dimensional shape properties (e.g., area, geometry, and circularity). The limbic boundary is localized using gradients and an error distance transform, and the boundary is regularized with active contours. Experimental results obtained from public databases show the superiority of the Drooosed techniaue over contemporary methods. 展开更多
关键词 Reliable iris localization using integral projection function and 2D-shape properties ROI
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部