为提高区域应急响应速度,增强区域内医疗、消防和紧急物资运输等能力,提出一种基于复杂网络理论的航空应急救援站脆弱性分析方法。首先,构建航空应急救援场站脆弱性评价指标体系,将具体分析指标划分为三类:通过资料搜集直接获得的定量...为提高区域应急响应速度,增强区域内医疗、消防和紧急物资运输等能力,提出一种基于复杂网络理论的航空应急救援站脆弱性分析方法。首先,构建航空应急救援场站脆弱性评价指标体系,将具体分析指标划分为三类:通过资料搜集直接获得的定量计算指标、使用模糊综合评价法进行评价获得的定性评价指标以及借助Pajek工具进行计算得到的网络特性指标;其次,使用集成决策实验室法(decision making trial and evaluation laboratory, DEMATEL)对各评价指标的权重进行估计;最后,使用灰度关联分析法综合评价各节点的脆弱性指数。对某地区现有运输机场布局案例进行分析,结果表明:所提方法在充分考虑待选机场的自身应急救援建设条件的基础上,兼顾救援网络中各机场间的互补性和协同作用,为未来的航空应急救援站选址研究提供了一种高效可靠的评价分析方法。展开更多
The main goal of this study was to assess the long-term impacts of global warming perturbation on water resources of the Kaidu River Basin in Northwest China. Temperature, precipitation and hydrology data during the p...The main goal of this study was to assess the long-term impacts of global warming perturbation on water resources of the Kaidu River Basin in Northwest China. Temperature, precipitation and hydrology data during the past 29 years from 1979 to 2007 were collected and analyzed using parametric and non-parametric methods, the connection between temperature and precipitation by the combination of grey correlation analysis method and the hypothesis testing for trend of climate change. The results show a high increase in temperature in the study area as well as an extreme and highly variable hydrological regime in this region, where flash floods can exceed the total runoff from a sequence of years. These variations may be due to the geographical location of the Kaidu River Basin in arid zone. It also reveals that precipitation has a much greater impact on stream flow than that of temperature. The development of new approaches was proposed as responses to climate change in this arid region.展开更多
A technology for unintended lane departure warning was proposed. As crucial information, lane boundaries were detected based on principal component analysis of grayscale distribution in search bars of given number and...A technology for unintended lane departure warning was proposed. As crucial information, lane boundaries were detected based on principal component analysis of grayscale distribution in search bars of given number and then each search bar was tracked using Kalman filter between frames. The lane detection performance was evaluated and demonstrated in ways of receiver operating characteristic, dice similarity coefficient and real-time performance. For lane departure detection, a lane departure risk evaluation model based on lasting time and frequency was effectively executed on the ARM-based platform. Experimental results indicate that the algorithm generates satisfactory lane detection results under different traffic and lighting conditions, and the proposed warning mechanism sends effective warning signals, avoiding most false warning.展开更多
为区分酶法提取、溶剂提取和压榨水飞蓟油的挥发性有机化合物的组成和鉴定质量优劣,基于顶空固相微萃取-气相色谱-质谱(headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry,HS-SPME-GC-MS)技术...为区分酶法提取、溶剂提取和压榨水飞蓟油的挥发性有机化合物的组成和鉴定质量优劣,基于顶空固相微萃取-气相色谱-质谱(headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry,HS-SPME-GC-MS)技术对不同水飞蓟油进行分析。结果表明, HS-SPME-GC-MS可实现对水飞蓟油挥发性有机化合物的定性,共检测出有机挥发物43种,通过无监督的主成分分析(principal component analysis, PCA)和有监督的偏最小二乘法-判别分析(partial least squares-discriminant analysis, PLS-DA),可有效区分不同方法提取的水飞蓟油,并得到VIP值大于1的挥发性标志物14种,多为酯类物质和醇类物质,是造成油脂气味差异的重要成分。通过灰度关联分析法对VIP值大于1的物质进行关联分析,结果显示酶法提取的水飞蓟油在气味上有明显优势。展开更多
文摘为提高区域应急响应速度,增强区域内医疗、消防和紧急物资运输等能力,提出一种基于复杂网络理论的航空应急救援站脆弱性分析方法。首先,构建航空应急救援场站脆弱性评价指标体系,将具体分析指标划分为三类:通过资料搜集直接获得的定量计算指标、使用模糊综合评价法进行评价获得的定性评价指标以及借助Pajek工具进行计算得到的网络特性指标;其次,使用集成决策实验室法(decision making trial and evaluation laboratory, DEMATEL)对各评价指标的权重进行估计;最后,使用灰度关联分析法综合评价各节点的脆弱性指数。对某地区现有运输机场布局案例进行分析,结果表明:所提方法在充分考虑待选机场的自身应急救援建设条件的基础上,兼顾救援网络中各机场间的互补性和协同作用,为未来的航空应急救援站选址研究提供了一种高效可靠的评价分析方法。
基金supported by the State Key Development Program for Basic Research of China (973 program (Grant No. 2010CB951002)the Natural Sciences Foundation of China (Grant No. 40871027)+1 种基金the Project from Xinjiang Key Laboratory of Water Cycle and Utilization in Arid Zone (Grant No. XJYS0907-2011-03)the Knowledge Innovation project of Chinese Academy of Science (KZCX2-YW-334) for financial supports
文摘The main goal of this study was to assess the long-term impacts of global warming perturbation on water resources of the Kaidu River Basin in Northwest China. Temperature, precipitation and hydrology data during the past 29 years from 1979 to 2007 were collected and analyzed using parametric and non-parametric methods, the connection between temperature and precipitation by the combination of grey correlation analysis method and the hypothesis testing for trend of climate change. The results show a high increase in temperature in the study area as well as an extreme and highly variable hydrological regime in this region, where flash floods can exceed the total runoff from a sequence of years. These variations may be due to the geographical location of the Kaidu River Basin in arid zone. It also reveals that precipitation has a much greater impact on stream flow than that of temperature. The development of new approaches was proposed as responses to climate change in this arid region.
基金Project(51175159)supported by the National Natural Science Foundation of ChinaProject(2013WK3024)supported by the Science andTechnology Planning Program of Hunan Province,ChinaProject(CX2013B146)supported by the Hunan Provincial InnovationFoundation for Postgraduate,China
文摘A technology for unintended lane departure warning was proposed. As crucial information, lane boundaries were detected based on principal component analysis of grayscale distribution in search bars of given number and then each search bar was tracked using Kalman filter between frames. The lane detection performance was evaluated and demonstrated in ways of receiver operating characteristic, dice similarity coefficient and real-time performance. For lane departure detection, a lane departure risk evaluation model based on lasting time and frequency was effectively executed on the ARM-based platform. Experimental results indicate that the algorithm generates satisfactory lane detection results under different traffic and lighting conditions, and the proposed warning mechanism sends effective warning signals, avoiding most false warning.
