基于小世界网络的电动汽车市场接受度预测模型

基于复杂社会网络理论、消费者行为和消费者购买决策理论,构建了基于小世界网络的电动汽车市场接受度预测模型,并通过Netlogo软件仿真社会网络中消费者对电动汽车的接受过程.研究表明:电动汽车的市场接受度取决于消费者个体初始偏好和社会网络效应的共同作用,局部网络效应的影响大于全局网络效应;选择意见领袖为初始采用者、提高初始采用者比例、降低消费者购买意愿阈值等均会显著提高电动汽车的扩散规模和扩散速度.     

基于消费者选择偏好的可替代品订货策略

基于消费者选择偏好,建立了相应零售商利润-订单量的条件风险价值模型。以零售商利润为最优化目标,在市场总需求不确定时,考虑零售商风险偏好、消费者选择偏好及两种产品的可替代性,研究零售商的最优订货策略。研究结果表明,当产品订货量在一定范围时,产品替代性将失去作用:当两种产品总订货量在一定范围时,产品最优订货量随顾客偏好系数及产品替代系数的提高而增大,随替代产品顾客偏好系数和零售商风险规避程度的提高而减小:产品与替代产品间的顾客偏好系数差异越大,两产品总订货量越大。     

新能源汽车的消费者特征研究 ——基于深圳市消费者调查的分析

以深圳市购车消费者为研究对象,在实地问卷调查数据的基础上,利用嵌套Logit模型,研究具有新能源汽车选择偏好的群体特征。结果表明,年轻群体的选择偏好是混合动力汽车,女性或受教育程度较高群体的选择偏好是插电式混合动力汽车,年长者、低收入或受教育程度较低群体的选择偏好是纯电动汽车。研究结果可为政府决策和企业细分市场,以及针对性地开发电动汽车产品和改善大气环境质量提供参考。     

基于模糊集的消费者偏好识别

从信息管理的数据结构讲,消费者偏好是异构数据的集合.在分析消费者偏好识别问题的基础上,采用基于[0,1]的模糊集处理消费者偏好的异构数据;根据对某种商品的选择程度,提出消费者的群体协调关系;根据消费者群体的偏好和关系程度,基于不确定决策准则,建立商家的有效服务关系及策略.通过示例说明基于消费者偏好识别的服务程序应用.     

基于离散选择模型的在线渠道消费者品牌选择行为

回顾品牌选择的离散选择模型的发展进程,并对在线渠道下消费者品牌选择进行了梳理,构建了品牌选择的多项Logit模型.运用该模型,对中国某著名网上商城消费者实际消费的可乐面板数据进行分析,研究和鉴别在线渠道消费者品牌选择行为的影响因素.结果表明:价格对于消费者网上品牌选择具有显著影响;作为网络属性的支付方式也会影响在线消费者的品牌选择;进行网上购买的消费者显示出对可口可乐品牌更强的内在偏好.     

消费者对鸡肉质量安全属性的偏好和支付意愿研究——基于选择的联合分析方法

利用基于选择的联合分析方法(CBC),通过RPL和LC模型实证检验消费者对鸡肉质量安全属性的偏好和支付意愿。研究显示消费者对相关的质量安全属性均有显著的偏好,在偏好的程度上消费者对于鸡肉的安全信息具有最高的支付意愿,其次为绿色食品,而消费者对于有机食品和动物福利的支付意愿比较低。因此应加强对于食品安全信息的监督与认证,加强宣传有机食品相关知识,引导各市场主体更加重视动物福利。     

基于信息技术的消费者购物行为对零售模式布局的影响机理研究

由于信息技术的发展,零售模式在实体购物之外产生了网购,其后随着线上线下同步技术和需求的发展,新零售应运而生。关于未来各类零售模式的存续性存在诸多争议,为了能够较为清晰地对该问题进行判断,从消费者视角入手,通过调查,分析影响3种零售业态的消费者购物行为要素,建立要素结构方程模型,形成要素指标体系,并从泛函分析角度构建三维欧氏空间模型进行消费者购物行为偏好判断及零售模式选择。要素模型能够反映消费者购物行为的主要特征,空间模型能够较为准确地对消费者购物行为偏好进行判别,有效处理了多变量条件下的对象识别问题。研究结果能够为区域零售业态发展布局提供目标消费者群体购物行为偏好判别的依据。     

基于顾客选择行为的客房分配模型研究

针对酒店收益管理中的客房分配问题,研究顾客满意度对客房资源分配和收益的影响,基于消费者行为理论,构造顾客客房效用函数,建立了消费者离散选择模型,通过调查问卷方式收集顾客偏好信息,利用变精度粗糙集方法对影响消费者选择的因素进行约简并计算权值,在此基础上建立了酒店客房分配模型。最后通过实例对该模型进行验证,计算结果表明了该模型的有效性。     

考虑绿色偏好与产品替代率的新能源汽车供应链效益分析

目的 针对日益严重的环境污染问题,创新地提出将消费者绿色偏好、产品替代率等作为研究新能源汽车供应链效益的主要影响因素。方法 将两个不同汽车制造商和一个分销商组成的两级供应链作为研究主体,在主要考虑消费者绿色偏好、产品替代率等影响因素下,通过供求关系构建供应链各主体的利润函数模型,利用逆向归纳法对模型进行求解,进而利用maple软件对整体供应链各部分利润进行数值分析。结果 研究结果表明：新能源汽车制造商、分销商和供应链整体利润与消费者绿色偏好和产品替代率呈正相关,而对传统燃油车制造商而言,其利润与消费者绿色偏好呈负相关,与产品替代率呈正相关。结论 数值分析发现：当消费者绿色偏好和产品替代率较小时,产品替代率是影响新能源汽车制造商、分销商利润的主要因素,消费者绿色偏好是影响传统燃油车制造商和整体供应链利润的主要因素;当消费者绿色偏好和产品替代率逐渐增大时,消费者绿色偏好逐步成为影响新能源汽车制造商、分销商利润的主要因素,产品替代率逐步成为影响传统燃油车制造商、整体供应链利润的主要因素。     

基于置信规则库系统茶叶市场消费者偏好测度

国内茶叶市场产品种类丰富、竞争激烈,研发投入新产品需要准确把握消费者偏好,满足市场需求。立足于多属性决策领域中关于产品的评价选择问题,文章运用关联规则理论从实证数据中挖掘规则,建立置信规则库系统,最终构建偏好评价模型。通过对国内茶叶市场消费者偏好情况进行问卷调研,测度消费者对不同茶叶的偏好得分。对比发现,置信规则库系统的计算结果与统计结果基本一致,证明规则库系统可为市场偏好测度提供客观准确的方法,从而为产品的研发设计提供重要的决策信息。     

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).     

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.