云计算环境下基于综合灰色SDN企业供应商评价研究

供应商的正确选择是提高企业绩效的关键因素,在云计算和供需网结合的环境下,供应商的选择更加复杂多变。面对这种情况,经过对供需网思想和内涵的分析,提出了云计算环境下基于综合灰色的SDN企业供应商评价模型,构建节点供应商的综合评价指标体系,使用熵权法确定客观权重,AHP法确定主观权重,加入调节因子综合赋权,再利用灰色关联法得出综合评价值。最后通过算例,验证了模型对于供需网中供应商选择的价值。     

生产性企业转产项目风险评价研究

讨论了生产性企业转产项目风险的含义、特点,建立了递阶层次结构的风险模糊综合评价指标体系,应用定性与定量相结合的分析方法,给出了生产性企业转产项目风险的模糊综合评价模型．     

一种递阶层次模型与评价方法

目的将一种递阶层次模型用于大学教师综合业绩评价。方法层次分析法(Analytical hi-erarchy process,简称AHP)。结果从教学、科研、校内服务三方面提出和建立了一种递阶层次模型和指标体系,采用Saaty的1-9比率标度法建立了各个指标间的相对重要性,建立了相应的判断矩阵,对各判断矩阵进行了一致性检验。在一致性检验的基础上,得到了各指标的权重值,可用于定量化评价大学教师的综合工作业绩。结论递阶层次模型和评价方法可行,优于传统的评价方法。     

供应链企业转向供需网企业的预警建模研究

以实体-属性模型为参考数据源构建评价指标体系,以Agent(智能体)作为智能预警的建模方法,针对企业向供需网转变的目标问题建立了基于3种警情的软实体的Agent预警模型,并着重对该模型中的评价算法、预警规则的设定及其运行流程进行了研究.     

房地产供应链合作伙伴核心竞争力综合评价

候选合作伙伴的核心竞争力的强弱,是决定其能否成为供应链成员最重要的因素之一。对房地产供应链候选合作伙伴核心竞争力的评价,是一个典型的多指标、多层次综合评价问题。在制定指标筛选相关准则的基础上,建立了合作伙伴核心竞争力综合评价指标体系。提出避免信息失真实用方法,以及融合主观评价的主成分分析指标权重确定方法,应用模糊决策理论建立了供应链合作伙伴选择的模糊多目标、多层次综合评价模型,并进行了实证研究。     

电子商务网站的层次分析法评价模型构建

首先在介绍层次分析法原理的基础上,构建一个电子商务网站评价的多指标递阶层次结构图,再建立数学模型.同时计算出各项指标的权重分值,运用层次分析法对指标进行量化,建立起电子商务网站评价的量化指标体系,并验证其可行性.最后建立一个线性函数的评价模型,对电子商务网站进行评价打分.     

装配式建筑产业链合作伙伴选择的三阶段模型及方法研究

装配式建筑产业链的构建与运行是装配式建筑业持续稳定发展的前提,而合作伙伴的选择又是装配式建筑产业链稳健运行的关键.本文将装配式建筑产业链简化为"五大链节",并在此基础上建立了装配式建筑产业链选择合作伙伴的三阶段模型,即初选-精选-优化组合三阶段模型.初选是通过企业共有的评价指标确定候选企业;精选是根据每一链节业务的特点确定特有的评价指标,再基于层次分析法(Analytic Hierarchy Process,AHP)进行精选;优化组合是建立基于工期(T)、质量(Q)、成本(C)、文化交融性(H)的产业链合作伙伴选择多目标优化模型,并利用蚁群算法求解最优组合,进而确定最终组入产业链的企业名单.     

基于Fuzyy—AHP法的真空滤油机生产过程绿色度综合评价

建立了真空滤油机生产过程绿色度综合评价指标体系和递阶层次结构模型,采用模糊层次分析法,综合评价了真空滤油机的绿色度,为真空滤油机生产工艺的设计、评价提供了参考依据。     

基于Fuzyy-AHP法的真空滤油机生产过程绿色度综合评价

建立了真空滤油机生产过程绿色度综合评价指标体系和递阶层次结构模型,采用模糊层次分析法,综合评价了真空滤油机的绿色度,为真空滤油机生产工艺的设计、评价提供了参考依据.     

高科技企业创新生态系统合作伙伴选择研究

高科技企业正确选择合作伙伴是保证创新生态系统有效运行的基础。高科技企业创新生态系统合作伙伴选择的主要影响因素包括企业技术研发能力、技术标准能力、用户基础与市场地位、技术资源互补性、合作企业间兼容性以及声誉与信任,构建了创新生态系统合作伙伴选择综合评价指标体系,指出了亟待进一步研究的问题。     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.