检索范围:
排序: 展示方式:
Spatial and Temporal Distribution of PM
Xiao-hong Chen,Xiang-bo Tang
《工程管理前沿(英文)》 2016年 第3卷 第2期 页码 171-181 doi: 10.15302/J-FEM-2016017
关键词: PM2.5 spatial and temporal distribution ArcGIS the chang-Zhu-Tan city cluster
基于惯性能时空最优分布的高加速轻载机构精密定位方法 Article
陈新,白有盾,杨志军,高健,陈贡发
《工程(英文)》 2015年 第1卷 第3期 页码 391-398 doi: 10.15302/J-ENG-2015063
高速运动精密定位是微电子封装设备中高加速轻载执行机构的基本运动需求。本文推导了高加速机构瞬态非线性动力学响应方程,揭示了刚度、频率、阻尼 (与材料空间布局相关) 和驱动频率 (与运动规划相关) 是主要影响因素。据此,在满足高加速机构精密定位的条件下,笔者提出了一种基于最优非线性动力学响应的结构优化和速度规划新方法。在结构优化中,首先分析了目前流行的基于等效静态载荷的柔性多体动力学优化方法未充分考虑惯性载荷的不足,然后提出了基于等效模态的柔性多体动力学最优动态响应优化新方法;在速度规划上,针对传统的几何光滑方法不能反映系统动态特性的缺陷,提出了基于变边界条件非线性动力学响应优化的速度规划新方法。将所提方法应用到高速固晶焊头的优化设计中,通过结构优化,降低振幅超过20%,再经非对称变加速规划,缩短定位时间超过40%。本文提出的方法为微电子封装类装备等高加速轻载机构精密定位的实现提供了有效的理论支撑和解决途径。
Industrial eco-efficiency and its spatial-temporal differentiation in China
Wei YANG, Fengjun JIN, Chengjin WANG, Chen LV
《环境科学与工程前沿(英文)》 2012年 第6卷 第4期 页码 559-568 doi: 10.1007/s11783-012-0400-4
关键词: industrial eco-efficiency data envelopment analysis (DEA) model exploratory spatial data analysis (ESDA)
Xue LI,Pengjing LI,Dong WANG,Yuqiu WANG
《环境科学与工程前沿(英文)》 2014年 第8卷 第6期 页码 895-904 doi: 10.1007/s11783-014-0736-z
关键词: Xin'anjiang River multivariable statistical analysis temporal variation spatial variation water quality
《环境科学与工程前沿(英文)》 2023年 第17卷 第10期 doi: 10.1007/s11783-023-1724-y
关键词: Microplastic Environmental transport Soil pollution Stormwater Detention ponds
空中交通延误传播动力学的时空网络视角 Article
Qing Cai, Sameer Alam, Vu N. Duong
《工程(英文)》 2021年 第7卷 第4期 页码 452-464 doi: 10.1016/j.eng.2020.05.027
由于日益增长的空中交通需求与有限的空域容量之间的不平衡,空中交通出现了难以解决的延误。由于空中交通与复杂的航空运输系统有关,延误可以在这些系统中被放大和传播,从而导致所谓的延迟传播的紧急行为。对延误传播动力学的理解与现代空中交通管理有着密切的关系。本文提出了一种复杂的网络延迟传播动力学观点。具体来说,我们利用以机场为节点的时空网络对空中交通场景进行建模。为了建立节点间的动态边缘,我们提出了一种时延传播方法,并将其应用于给定的空中交通调度集合。基于所构建的时空网络,提出了三个指标(幅度、严重性和速度)来衡量延迟传播动态。为了验证该方法的有效性,我们对东南亚地区(SAR)和美国的国内航班进行了案例研究。实验表明,美国交通延误传播影响的航班数和传播延迟量的传播幅度分别是SAR的5倍和10倍。实验进一步表明,美国交通的传播速度比SAR快8倍。延迟传播动态显示,SAR约6个枢纽机场存在明显的传播延误,而美国的情况则更为严重,相应数量在16个左右。本工作为跟踪空中交通延误的演变提供了有力的工具。
Temporal and spatial stability of the EM/PM molecular subtypes in adult diffuse glioma
《医学前沿(英文)》 2023年 第17卷 第2期 页码 240-262 doi: 10.1007/s11684-022-0936-z
关键词: glioma progression molecular classification EM/PM subtyping intratumor heterogeneity
Lin LUO, Zhongjing WANG
《环境科学与工程前沿(英文)》 2013年 第7卷 第5期 页码 756-768 doi: 10.1007/s11783-013-0563-7
关键词: precipitation intensity Mann-Kendall rank statistic spatial and temporal distribution climatic change
Huilong LIN, Ruichao LI, Yifan LIU, Jingrong ZHANG, Jizhou REN
《农业科学与工程前沿(英文)》 2017年 第4卷 第1期 页码 69-80 doi: 10.15302/J-FASE-2017140
关键词: arable land equivalent unit (ALEU) food equivalent unit (FEU) food security grassland agriculture time trend prediction
Spatial distribution of phosphorus forms in sediments with different distances to the estuary of the
Shaoyong LU, Xiangcan JIN, Fengchang WU, Jing SI, Jianning GUO,
《环境科学与工程前沿(英文)》 2010年 第4卷 第3期 页码 295-300 doi: 10.1007/s11783-010-0231-0
关键词: estuary sedimentary area phosphorus (P) spatial distribution human activity the Dianchi Lake
Spatial prediction of soil contamination based on machine learning: a review
《环境科学与工程前沿(英文)》 2023年 第17卷 第8期 doi: 10.1007/s11783-023-1693-1
● A review of machine learning (ML) for spatial prediction of soil contamination.
关键词: Soil contamination Machine learning Prediction Spatial distribution
Xuying Ma, Ian Longley, Jennifer Salmond, Jay Gao
《环境科学与工程前沿(英文)》 2020年 第14卷 第3期 doi: 10.1007/s11783-020-1221-5
关键词: LUR Air pollution modelling GIS spatial analysis GDAL/OGR Python Pollutant concentration mapping
Trends of environmental accidents and impact factors in China
Pengli XUE, Weihua ZENG
《环境科学与工程前沿(英文)》 2011年 第5卷 第2期 页码 266-276 doi: 10.1007/s11783-010-0267-1
关键词: environmental accidents spatial and temporal trends environmental risk
Digital representation of meso-geomaterial spatial distribution and associated numerical analysis of
YUE Zhongqi
《结构与土木工程前沿(英文)》 2007年 第1卷 第1期 页码 80-93 doi: 10.1007/s11709-007-0008-0
关键词: homogeneous numerical analysis Expanded homogenization meso-level
High resolution satellite imaging sensors for precision agriculture
Chenghai YANG
《农业科学与工程前沿(英文)》 2018年 第5卷 第4期 页码 393-405 doi: 10.15302/J-FASE-2018226
The central concept of precision agriculture is to manage within-field soil and crop growth variability for more efficient use of farming inputs. Remote sensing has been an integral part of precision agriculture since the farming technology started developing in the mid to late 1980s. Various types of remote sensors carried on ground-based platforms, manned aircraft, satellites, and more recently, unmanned aircraft have been used for precision agriculture applications. Original satellite sensors, such as Landsat and SPOT, have commonly been used for agricultural applications over large geographic areas since the 1970s, but they have limited use for precision agriculture because of their relatively coarse spatial resolution and long revisit time. Recent developments in high resolution satellite sensors have significantly narrowed the gap in spatial resolution between satellite imagery and airborne imagery. Since the first high resolution satellite sensor IKONOS was launched in 1999, numerous commercial high resolution satellite sensors have become available. These imaging sensors not only provide images with high spatial resolution, but can also repeatedly view the same target area. The high revisit frequency and fast data turnaround time, combined with their relatively large aerial coverage, make high resolution satellite sensors attractive for many applications, including precision agriculture. This article will provide an overview of commercially available high resolution satellite sensors that have been used or have potential for precision agriculture. The applications of these sensors for precision agriculture are reviewed and application examples based on the studies conducted by the author and his collaborators are provided to illustrate how high resolution satellite imagery has been used for crop identification, crop yield variability mapping and pest management. Some challenges and future directions on the use of high resolution satellite sensors and other types of remote sensors for precision agriculture are discussed.
关键词: high resolution satellite sensor multispectral imagery precision agriculture spatial resolution temporal resolution
标题 作者 时间 类型 操作
Industrial eco-efficiency and its spatial-temporal differentiation in China
Wei YANG, Fengjun JIN, Chengjin WANG, Chen LV
期刊论文
Assessment of temporal and spatial variations in water quality using multivariate statistical methods
Xue LI,Pengjing LI,Dong WANG,Yuqiu WANG
期刊论文
Abundance, spatial distribution, and physical characteristics of microplastics in stormwater detention
期刊论文
Changes in hourly precipitation may explain the sharp reduction of discharge in the middle reach of the Yellow River after 2000
Lin LUO, Zhongjing WANG
期刊论文
Allocation of grassland, livestock and arable based on the spatial and temporal analysis for food demand
Huilong LIN, Ruichao LI, Yifan LIU, Jingrong ZHANG, Jizhou REN
期刊论文
Spatial distribution of phosphorus forms in sediments with different distances to the estuary of the
Shaoyong LU, Xiangcan JIN, Fengchang WU, Jing SI, Jianning GUO,
期刊论文
PyLUR: Efficient software for land use regression modeling the spatial distribution of air pollutants
Xuying Ma, Ian Longley, Jennifer Salmond, Jay Gao
期刊论文
Digital representation of meso-geomaterial spatial distribution and associated numerical analysis of
YUE Zhongqi
期刊论文