中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究所 [4]
力学研究所 [1]
长春光学精密机械与物... [1]
昆明植物研究所 [1]
生态环境研究中心 [1]
植物研究所 [1]
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OAI收割 [9]
内容类型
期刊论文 [7]
会议论文 [2]
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2021 [3]
2020 [2]
2019 [1]
2018 [1]
2017 [1]
2011 [1]
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学科主题
Ecology [1]
Plant Scie... [1]
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Effect of highways on breeding birds: Example of Hulunbeier, China
期刊论文
OAI收割
GLOBAL ECOLOGY AND CONSERVATION, 2021, 卷号: 27, 页码: -
作者:
Xie, Shilin
;
Wang, Xiaoke
;
Yang, Tong
;
Huang, Binbin
;
Wang, Wenjing
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2021/12/21
Bird
Erka Wetland Reserve
Highway
Reserve
Road effects
Does road accessibility benefit rural poor? Evidence on the extent of household off-farm employment from 2004 to 2018
期刊论文
OAI收割
CHINA AGRICULTURAL ECONOMIC REVIEW, 2021, 页码: 34
作者:
Bai, Yunli
;
Zhou, Tianhao
;
Ma, Zhiyuan
;
Zhang, Linxiu
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2021/06/10
Road accessibility
Off-farm employment
Extent
Heterogeneous effects
Rural poverty
H41
H54
J21
J24
Does road accessibility benefit rural poor? Evidence on the extent of household off-farm employment from 2004 to 2018
期刊论文
OAI收割
CHINA AGRICULTURAL ECONOMIC REVIEW, 2021, 页码: 34
作者:
Bai, Yunli
;
Zhou, Tianhao
;
Ma, Zhiyuan
;
Zhang, Linxiu
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2021/06/10
Road accessibility
Off-farm employment
Extent
Heterogeneous effects
Rural poverty
H41
H54
J21
J24
Spatiotemporal characteristics and driving mechanism of the coupling coordination degree of urbanization and ecological environment in Kazakhstan
期刊论文
OAI收割
JOURNAL OF GEOGRAPHICAL SCIENCES, 2020, 卷号: 30, 期号: 11, 页码: 1802-1824
作者:
Huang Jinchuan
;
Na Ying
;
Guo Yu
  |  
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2021/03/15
Kazakhstan
comprehensive urbanization
ecological environment
synergistic effects
Belt and Road Initiative
geographical detector
Spatiotemporal characteristics and driving mechanism of the coupling coordination degree of urbanization and ecological environment in Kazakhstan
期刊论文
OAI收割
Journal of Geographical Sciences, 2020, 卷号: 30, 期号: 11, 页码: 1802
作者:
Huang Jinchuan
;
Na Ying
;
Guo Yu
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2021/03/15
Kazakhstan
comprehensive urbanization
ecological environment
synergistic effects
Belt and Road Initiative
geographical detector
Roads as drivers of above-ground biomass loss at tropical forest edges in Xishuangbanna, Southwest China
期刊论文
OAI收割
LAND DEGRADATION & DEVELOPMENT, 2019, 卷号: 30, 期号: 11, 页码: 1325-1335
作者:
Dissanayake, Dissanayake Mudiyanselage Naveen Jayalal
;
Zhai, De-Li
;
Dossa, Gbadamassi Gouvide Olawole
;
Shi, Jipu
;
Luo, Qinghui
  |  
收藏
  |  
浏览/下载:71/0
  |  
提交时间:2019/07/29
ecosystem services
edge effects
monoculture rubber
road ecology
tropical forests
Roads disrupt rodent scatter-hoarding seed-dispersal services: implication for forest regeneration
期刊论文
OAI收割
PERSPECTIVES IN PLANT ECOLOGY EVOLUTION AND SYSTEMATICS, 2018, 卷号: 34, 页码: 102-108
作者:
Cui, Jifa
;
Chen, Wenwen
;
Newman, Chris
;
Han, Wenwu
;
Buesching, Christina D.
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/02/25
Barrier effects
Fagus engleriana
Forest regeneration
Human-modified landscapes
Road disturbance
Seed dispersal
Program in space detection of gravitational wave in Chinese Academy of Sciences
会议论文
OAI收割
Zurich, Switzerland, September 5, 2016 - September 9, 2016
作者:
Jin G(靳刚)
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2018/11/08
Gravitational effects
Signal detection
Chinese Academy of Sciences
Gravitational
wave detection
Mission design
Road
maps
Space detection
Technological development
Working groups
Neural network based online traffic signal controller design with reinforcement training (EI CONFERENCE)
会议论文
OAI收割
14th IEEE International Intelligent Transportation Systems Conference, ITSC 2011, October 5, 2011 - October 7, 2011, Washington, DC, United states
Dai Y.
;
Hu J.
;
Zhao D.
;
Zhu F.
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2013/03/25
Traffic congestion leads to problems like delays
decreasing flow rate
and higher fuel consumption. Consequently
keeping traffic moving as efficiently as possible is not only important to economy but also important to environment. Traffic system is a large complex nonlinear stochastic system. Traditional mathematical methods have some limitations when they are applied in traffic control. Thus
computational intelligence (CI) technologies gain more and more attentions. Neural Networks (NNs) is a well developed CI technology with lots of promising applications in traffic signal control (TSC). In this paper
a neural network (NN) based signal controller is designed to control the traffic lights in an urban traffic road network. Scenarios of simulation are conducted under a microscopic traffic simulation software. Several criterions are collected. Results demonstrate that through online reinforcement training the controllers obtain better control effects than the widely used pre-time and actuated methods under various traffic conditions. 2011 IEEE.