检索结果-南通市图书馆

China's long-term low carbon transition pathway under the urbanization process

Advances in Climate Change Research 2019年第4期10卷 240-249页

作者： LIU Jun-Ling WANG Ke XIAHOU Qin-Rui LIU Fang-Ming ZOU Ji KONG Ying School of Economics and Management Harbin Institute of Technology(Shenzhen)Shenzhen518055China Tsinghua-Berkeley Shenzhen Institute Tsinghua UniversityShenzhen518055China School of Environment&Natural Resources Renmin University of ChinaBeijing100872China Department of Economics York UniversityTorontoM3J1P3Canada

This study develops a comprehensive analysis framework and socio-economic energy system model that interlinks demographic change and energy system in order to analyze the urbanization process and its relation with China's long-term CO2 emissions trend as China'economy enters the“new normal”*** results show that,around 300 million people are expected to migrate from rural areas to urban areas by 2050 following a trend,in which people are moving gradually from small and medium city groups to large and super city *** migration trend together with the improvement in living standard will promote China's infrastructure construction,industry production,and energy service demand *** the Business as Usual(BAU)scenario,total primary energy consumption in China will reach 8.4 Gtce by 2050,energyrelated CO2 emissions will increase to 17.6 Gt,which is 83%higher than the 2013 *** in the Low Carbon Transition(LCT)scenario with technology innovation,the total primary energy demand for China in 2050 could be controlled at^6 Gtce;CO2 emissions would peak during 2020—2025,and be reduced by 78%by 2050 compared to the BAU *** the transition process,non-fossil fuel power generation and energy efficiency technologies have the largest mitigation *** and power sectors would peak first before 2020,followed by the building and transport sectors which are projected to peak around *** total additional capital investment required for LCT would account for 1.5%of ***,it is technologically and economically feasible for China to implement new urbanization strategy.

关键词： Urbanization Population migration Consumption demand Low carbon transition bottom-up model

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Salient Object Detection Based on Background model

Salient Object Detection Based on Background Model

引用

第37届中国控制会议

作者： Yanbang Zhang Fen Zhang Lei Guo College of Mathematics and Information Science Xianyang Normal University School of Automation Northwestern Polytechnical University Department of Automatic Control Xidian University

In this paper, we propose a novel bottom-up method for detecting salient object. First, a coarse saliency map is generated by according to the biggest symmetric surround model and the color distribution-based model. And then, we design a Gauss filter to enhance the coarse saliency map, and preliminarily establish the background model. Next, the salient feature is defined as the color contrast between background region and the rest. Extensive experiments show the performance of the proposed method which performs better in five evaluation indexes.

关键词： Computer vision object detection visual attention salient object bottom-up model

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：