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Tree-Based Index Overlay in Hybrid Peer-to-Peer Systems 被引量:1
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作者 InSung Kang SungJin Choi +2 位作者 Member, IEEE SoonYoung Jung SangKeun Lee 《Journal of Computer Science & Technology》 SCIE EI CSCD 2010年第2期313-329,共17页
Hybrid Peer-to-Peer (P2P) systems that construct overlay networks structured among superpeers have great potential in that they can give the benefits such as scalability, search speed and network traffic, taking adv... Hybrid Peer-to-Peer (P2P) systems that construct overlay networks structured among superpeers have great potential in that they can give the benefits such as scalability, search speed and network traffic, taking advantages of superpeer-based and the structured P2P systems. In this article, we enhance keyword search in hybrid P2P systems by constructing a tree-based index overlay among directory nodes that maintain indices, according to the load and popularity of a keyword. The mathematical analysis shows that the keyword search based on semi-structured P2P overlay can improve the search performance, reducing the message traffic and maintenance costs. 展开更多
关键词 tree-based index overlay keyword search fault-tolerance performance
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SiO_2薄膜光学常数物理模型(英文) 被引量:8
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作者 刘华松 杨霄 +6 位作者 刘丹丹 王利栓 姜承慧 姜玉刚 季一勤 张锋 陈德应 《红外与激光工程》 EI CSCD 北大核心 2017年第9期286-291,共6页
SiO_2薄膜是光学薄膜领域内常用的重要低折射率材料之一。在文中研究中,通过测量薄膜的椭偏参数,使用非线性最小二乘法反演计算获得薄膜的光学常数。采用离子束溅射和电子束蒸发两种方法制备了SiO_2薄膜,在拟合过程中,基于L_8(2~2)正交... SiO_2薄膜是光学薄膜领域内常用的重要低折射率材料之一。在文中研究中,通过测量薄膜的椭偏参数,使用非线性最小二乘法反演计算获得薄膜的光学常数。采用离子束溅射和电子束蒸发两种方法制备了SiO_2薄膜,在拟合过程中,基于L_8(2~2)正交表设计了8组反演计算实验,以评价函数MSE为考核指标。实验结果表明:对IBS SiO_2薄膜拟合MSE函数影响最大的为界面层模型,对EB SiO_2薄膜拟合MSE函数影响最大的为Pore模型。同时确定了不同物理模型对拟合MSE函数的影响大小和反演计算过程模型选择的次序,按照确定的模型选择次序拟合,两种薄膜反演计算的MSE函数相对初始MSE可下降35%和38%,表明拟合过程模型选择合理物理意义明确。文中提供了一种判断薄膜物理模型中各因素对于薄膜光学常数分析作用大小的途径,对于薄膜光学常数分析具有指导意义。 展开更多
关键词 SIO2薄膜 光学常数 界面层 折射率梯度 孔隙 表面层
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Groundwater recharge site suitability analysis through multiinfluencing factors(MIF)in West Bengal dry-land areas,West Bengal,India 被引量:1
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作者 Kartic Bera Michelle E.Newcomer Pabitra Banik 《Acta Geochimica》 EI CAS CSCD 2022年第6期1030-1048,共19页
Groundwater levels are gradually declining in basins around the world due to anthropogenic and natural factors.Climate is not the only factor contributing to change in groundwater levels,population growth and economic... Groundwater levels are gradually declining in basins around the world due to anthropogenic and natural factors.Climate is not the only factor contributing to change in groundwater levels,population growth and economic progress are leading to increased water demand.Areas used for agricultural irrigation are expanding,necessitating the use of artificial groundwater recharge as a method to sustain pumping and enhance storage.The present study delineates potential locations of significant groundwater resources that already exist using a geostatistical approach as a method to identify potential groundwater recharge zones.The Multi-Influencing Factors(MIF)technique was applied to determine the relationship between different landscape and climatic factors that influence groundwater recharge.Factors include topography,climate,hydrogeology,population,economic change,and geology.Integration of these factors enabled the identification of potential locations of groundwater suitable for artificial recharge efforts based on weights derived through the MIF technique.We applied these weights to derive a groundwater recharge index(GRI)map.The map was delineated into three groundwater recharge zones classified by their potential areal coverage as a metric for recharge suitability,namely low,medium and high suitability,occupying areas of 8625 km2(30.06%),9082 km2(31.65%),and 10,989 km~2(38.29%),respectively.Our findings have important implications for designing sustainable groundwater development and land-use plans for the coming century. 展开更多
关键词 Dry-lands Multi-influencing factor(MIF) Weighted index overlay(WIO) Groundwater suitable for artificial recharge(GSAR) Recharge volume(RV)
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Delineating Groundwater Potential Zones Using Geospatial and Analytical Hierarchy Process Techniques in the Upper Omo-Gibe Basin,Ethiopia
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作者 Yonas Hagos Zelalem Bedaso Mulugeta Kebede 《Revue Internationale de Géomatique》 2024年第1期399-425,共27页
In regions with unpredictable rainfall and limited water supply,it’s crucial to pinpoint areas with high potential for groundwater and find the best spots for groundwater resource development.This study utilizes the ... In regions with unpredictable rainfall and limited water supply,it’s crucial to pinpoint areas with high potential for groundwater and find the best spots for groundwater resource development.This study utilizes the Analytic Hierarchy Process(AHP)in combination with Geographic Information Systems(GIS)to evaluate the potential groundwater zones in the Gombora watershed within the Omo Gibe basin in Ethiopia.Combining these two tools provided a detailed map showing potential groundwater areas.These zones are determined based on various thematic maps containing information about geology,soil texture,lineament density,slope,land use,and drainage density.The AHP method combines these data layers by assigning weights to each layer based on its importance for groundwater recharge.These weighted layers are then overlaid using a GIS platform to produce a conclusive map of potential groundwater areas.The groundwater potential within the watershed was qualitatively divided into five categories with area coverages of very good(1.6%),good(7.4%),moderate(21.4%),poor(51.6%),and very poor(17.9%)of thewatershed area.The accuracy of the groundwater potential zones was evaluated using the receiver operating characteristic(ROC)curve and the area under the curve(AUC),producing good results(AUC=75.5%).This research has shown that integrating AHP with GIS can effectively pinpoint potential groundwater zones.Additionally,the findings could play a key role in determining suitable locations for new groundwater wells and supplying valuable insights to decision-makers to aid in planning and implementing sustainable strategies for managing groundwater resources in the watershed. 展开更多
关键词 Analytic hierarchy process ArcGIS groundwater potential zone MCDA(Multi-Criteria Decision Analysis) weighted index overlay
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