基于模糊综合评价的大气环境质量评价

为了解决模糊数学在环境质量评价中应用的问题,采用了模糊综合评价方法对某市区5个监测点的三种大气污染物日平均浓度值监测结果进行实例分析验证,得出了该市区5个监测点的大气环境质量级别为Ⅱ或Ⅲ级.分析结果表明:采用模糊综合评价方法进行大气质量评价可最大限度地避免主观人为的误差,具有客观性和合理性.     

综合评价的合理性问题

综合评价的合理性问题是决策的核心,在首先界定了综合评价的概念的基础上,以一个决策问题为例,提出在面临具体决策操作时,采用综合评价方法对各方案进行优劣排序中将要遇到的涉及综合评价合理性的15个主要问题·随后,就这15个客观问题,在简要分析的基础上,多以列示数学模型的量化方式,针对各个问题分别给出了具体的解决措施和建议·如为消除各评价指标量纲不同对综合评价结果的影响而建议采用四个指标无量纲化模型,为平衡出现在同一个评价问题中的极大型、极小型、区间型、居中型指标而需要采用的指标类型一致化模型,为解决各指标在评价中的“合成”问题而给出的适用不同评价环境的三个常用的综合评价模...     

土木工程专业教学效果的模糊综合评价

构建了三层次的模糊综合评价指标体系,用于土木工程专业教学效果的评价.在这个指标体系中,总体教学效果被细分为教学目标和教学投入、教学模式和教学理念、教学手段和考核方法、教学过程的可持续性4个二级指标,这4个二级指标又被细分为18个三级指标.整个实证过程证实了三层次模糊综合评价模型对于土木工程专业教学效果评价的有效性.     

浅析英语书评中的评价

评价是语言的一种重要功能,是语篇人际意义的重要组成部分.文章运用评价理论框架,对英语书评中的评价从评价系统的三个次系统,即态度、介入与级差三方面进行分析,以探讨评价在书评中的运用.     

新课程理念下数学教学中真实性评价应用探究

新一轮数学课程改革对评价提出了要求:对数学学习的评价要关注学生学习的结果,更要关注他们学习的过程.真实性评价正是注重在真实生活中学生学习的过程性评价,在此评价理论上探讨如何将真实性评价应用于数学教学中有重要意义,主要从数学课堂教学(为数学真实性评价提供好的平台)、学生学习(在真实性任务情境下做数学,解决数学问题)、数学教学评价(真实性评价的应用)三方面来说明.     

非对称信息下的企业信用评价浅析

非对称信息导致的道德风险和逆向选择,使得建立企业信用评价体系成为必要.本文在分析非对称信息的基本问题上,简要阐述了建立信用评价体系的必要性和信用评价体系结构,指出建立企业信用评价体系要着重解决评价指标和评价方法的选择这两个问题.     

基于逼近理想解法的第三方物流企业绩效评价与外包决策

利用逼近理想解法(TOPSIS)解决第三方物流企业绩效评价与外包决策问题.通过分析影响第三方物流企业经营状况的因素,确定了评价指标并建立了评价模型.经过对不同的第三方物流企业的经营状况进行了综合评价,结果表明,TOPSIS法更有效地利用了企业经营的历史数据,评价更客观、决策更准确.     

Multi-agent System中多维度信誉模型设计

在multi-agent system (MAS)中引入信誉机制是解决Agent间复杂交互问题促进合作的有效途径.在构造信誉置信度和期望信誉级别两种信誉表示形式的基础上,提出第三方权威机构的资质评价作为第三种信誉信息来源,引入活动相似算子和信息来源权重,从评价目标多维性和信息来源多维性对初始信誉置信度评价进行修正,运用Dempster规则合成计算获得最终信誉评价,并以实例验证了模型的实用性.最后对模型的效率与抗威胁性进行了检验,结果表明模型解决了新进Agent的信誉赋值问题,可以在一定程度上激励Agent主动给出交互评价,并能很好地解决或缓解分布式系统中关键的8种安全威胁.     

教育评价在成教班实习管理中的应用

教育评价在学习和教学过程中发挥着重要的作用，本文介绍了教育评价方法应用于成教班实习管理中，通过诊断性评价、形成性评价和总结性评价三个阶段，及时反馈信息、发现和解决实习管理中的问题，从而有效地促进成教班实习质量和实习医院带教水平的提高。     

国外科技人才评价经验的启示与借鉴——基于英国、美国、德国的研究

针对我国科技人才评价中存在的突出问题,通过梳理和总结英国、美国、德国在评价理念、评价方法和评价制度三个方面的经验,得到了包括树立发展性评价理念、重视同行评议方法、建立科学的评价制度三个方面的启示,并提出了组织实施科技人才评价的对策和建议。研究发现,科学的评价理念、正确的评价方法和完善的评价制度是实施科技人才评价的重要前提条件,建立协同保障机制、强化综合监督机制和设立评价申诉系统是实施科技人才评价的重要保证。     

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.     

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.     

A computer generator for randomly layered structures

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

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).     

Wuhan University Journal of Natural Sciences TOTAL CONTENTS

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