基于分层序列的移动电子商务推荐系统策略研究

移动互联网环境下,移动电子商务快速发展,移动推荐系统成为解决移动信息过载的主要技术和手段.移动电子商务推荐系统中用户策略选择是一个典型的多目标决策问题,目标之间也存在一定的矛盾.基于移动推荐系统的这种特征,借助分层序列法算法的思想,通过元数据的标准化处理,结合移动电子商务中的位置上下文信息获取推荐数据,得到满足用户多目标需求的推荐结果.方法的提出为移动电子商务推荐系统的研究提出了一种新的推荐策略.     

基于GPRS的黄河冰凌图像远程测报系统设计

基于当前成熟的移动网络覆盖技术,设计了一种新型的冰凌图像远程测报系统.系统利用监控类摄像头获取河道现场冰凌图像,通过移动GPRS网络实时传送到监控中心,实现对黄河冰凌的实时远程监测预报.通过特定的图像处理方法与软件,冰凌图像测报系统不仅可以在线实时浏览黄河河道现场的实时图像,还能获得被监测河道河面的瞬时冰凌分布密度和流速等重要参数,从而为凌汛预警和防凌决策部门提供第一手河道现场资料.     

面向电子商务的应用——基于多Agen t的消费者需求代理系统

首先根据电子商务环境下消费者需求的特点,在对多A gen t技术论述的基础上,建立了基于多A gen t的消费者需求代理系统.接着对系统具体工作流程进行了深入分析:先针对不同消费者建立相应的用户模型,以便为不同消费者提供效用最大化的产品或产品服务的组合,然后采用协商型A gen t,完成网上产品或服务的交易.最后提出了基于遗传算法的协商谈判策略,以提高消费者需求代理系统的协商能力.     

基于协同过滤的移动电子商务推荐算法

随着移动电子商务的快速发展,信息过载现象成为该领域的研究热点,个性化移动推荐系统开始成为理论和应用的热点.文章将协同过滤技术应用到移动电子商务中,结合移动电子商务移动性和随时性的特点,在协同过滤中加入时间因素和位置因素,通过遗忘函数改进协同过滤算法,最后实验证明改进的协同过滤移动推荐算法比传统的协同过滤算法能更有效地提高推荐精度.     

彩信图像监测技术在河道冰-水情远程无人监测中的应用

针对黄河中上游冰凌灾害预报系统的建设,设计研制了黄河河道冰、水情图像远程无人自动监测系统.该系统基于GPRS移动通信中彩信图像数据传输技术,利用单片机控制摄像探头采集和压缩黄河河道现场冰情图像信息,通过GPRS网络以彩信格式发送到用户手机,实现了对黄河河道冰情图像的无线远程实时监测.该系统可以使冰情检测人员在移动过程中随时获取河道实时冰情图像信息,更加适合野外环境下冰凌灾害预防的监测与预报,具有较大的工程应用价值.     

移动云计算中基于LBS的个性化服务推荐模型

随着智能手机的普及和3G技术的发展,信息呈指数式增长,从海量的信息中提取出用户感兴趣的内容已成为电子商务发展的一个重要趋势,然而传统的推荐策略已不能满足用户的需求.为此,基于移动云计算和位置信息,提出了一个个性化服务推荐模型解决方案,该方案综合了社交网络和时效性,建立了用户兴趣模型库.基于这个解决方案,在Android平台上,实现了初步的个性化图片推荐模型,取得了不错的效果.个性化服务推荐系统具有良好的发展和应用前景,能有效的保留客户,提高电子商务系统的服务能力,带来巨大的效益,具有一定的理论和现实意义.     

移动电子商务视域下用户满意度影响因素研究及实证分析

随着移动通信技术的飞速发展以及移动终端的广泛使用,移动电子商务应运而生,并在很大程度上改变了人们的生活方式.基于顾客满意度模型理论,以移动电子商务平台质量和服务质量为研究对象,构建了用户满意度概念模型.通过实证分析加以验证,最终得出以下两个结论:移动电子商务平台质量对用户满意度有正向影响作用;服务质量对用户满意度也有正向影响作用.     

基于移动支付模式下O2O电子商务的演化博弈分析

互联网相关产业及移动通讯等有关技术的发展,促进了020模式及移动支付的快速普及.基于新四大发明之一的移动支付模式,对020电子商务下消费者的消费策略建立演化博弈模型并进行分析,并提出了合理选择商品以降低消费成本、充分利用共享资源和多方努力合作的建议.     

格上基于身份的高效环签名方案及安全性分析

环签名是一种特殊的数字签名,可以广泛应用于电子选举、移动通信、移动代理、电子商务等领域.提出了一种新的基于格的环签名方案,在格上的小整数解和非齐次小整数解困难问题的假设下,方案对适应性选择消息攻击是强不可伪造的.利用的格基代理技术,可以保证新方案签名长度更短,计算效率更高.     

基于位置数据的用户多周期移动行为挖掘

挖掘位置数据中的用户行为规律是大数据时代的研究热点之一.现有研究主要关注于用户在某时刻出现在某地点的行为,对于用户从一个地点移动到另一个地点的动态行为研究较为空缺.提出一种挖掘位置数据中用户移动行为的算法可以发现用户的多个周期移动行为,描述用户在时空上的移动规律.首先,利用离散傅里叶变换和自相关系数检测用户移动行为的周期,在这一过程中,利用Apriori性质减少计算复杂度;而后提出用户移动行为的生成模型,估计用户的移动行为概率矩阵,考虑到观测数据的稀疏性,采用带全局限制的动态时间规整距离对不同时间段的行为进行聚类以发现用户的多个周期移动行为.最后,我们选取某市公共自行车系统收集的位置数据进行实证分析,结果表明,新方法能有效地挖掘用户的多个周期移动行为,进一步地,通过归纳可以得到用户群体在周期移动行为上的主要特征.     

Recent Developments in Simulation Modelling

Current trends in simulation software development are towards the automation of the modelling process. Some systems provide a method of specifying the problem so that a computer program can be automatically generated. Other systems provide a generic framework for a particular class of modelling problem that can be input as data to the system. Examples of the latter are flexible manufacturing systems simulations. Most current developments are colour-graphics-aided in one form or another. Computer advances in hardware and software are emerging through better user interfaces, more power and lower costs. The major benefit is an increasing customer involvement in the modelling process. An overview of these developments and future directions are given in this paper.     

Fuzzy optimization approach to component selection of fault-tolerant software system

In developing software systems, a manager’s goal is to design software using limited resources and meet the user requirements. One of the important user requirements concerns the reliability of the software. The decision to choose the right software modules (components) becomes extremely difficult because of the number of parameters to be considered while making the decision. If suitable components are not available, then the decision process is further complicated with build versus buy decisions. In this paper, we have formulated a fuzzy multi-objective approach to optimal decision “build-or-buy” for component selection for a fault-tolerant modular software system under the consensus recovery block scheme. A joint optimization model is formulated where the two objectives are maximization of system reliability and minimization of the system cost with a constraint on delivery time. An example of developing a retail system for small-and-medium-size enterprises is used to illustrate the proposed methodology.     

Mathematics instruction and the tablet PC

The use of tablet PCs in teaching is a relatively new phenomenon. A cross between a notebook computer and a personal digital assistant (PDA), the tablet PC has all of the features of a notebook with the additional capability that the screen can also be used for input. Tablet PCs are usually equipped with a stylus that allows the user to write on the screen. Handwriting recognition software converts this input into text for use with software such as internet browsers and email programs. As an educational tool, two of the most important features of the tablet PC are annotation and wireless communication. The annotation feature allows the user to write on almost any document much as one would annotate a printout of the same document. The wireless communication feature allows tablet PCs to share information with one another. The advantages of these features and their impact on the Murray State University (MSU) classroom will be discussed in the evaluation section.     

Users,Programmers, and Statistical Software

Abstract

Statistical software provides essential support for statisticians and others who are analyzing data or doing research on new statistical techniques. Those supported typically regard themselves as “users” of the software, but as soon as they need to express their own ideas computationally, they in fact become “programmers.” Nothing is more important for the success of statistical software than enabling this transition from user to programmer, and on to gradually more ambitious software design. What does the user need? How can the design of statistical software help? This article presents a number of suggestions based on past experience and current research. The evolution of the S system reflects some of these opinions. Work on the Omegahat software provides a promising direction for future systems that reflect similar motivations.     

The forgotten sons: Warehousing systems for brick-and-mortar retail chains

Warehouses are an inevitable component in any supply chain and a vividly investigated object of research. Much attention, however, is absorbed by warehousing systems dedicated to the special needs of online retailers in the business-to-consumer segment. Due to the ever increasing sales volumes of e-commerce this focus seems self-evident, but a much larger fraction of retail sales are still realized by traditional brick-and-mortar stores. The special needs of warehouses servicing these stores are focused in this paper. While e-commerce warehouses face low-volume-high-mix picking orders, because private households tend to order just a few pieces per order from a large assortment, distribution centers of retail chains rather have to process high-volume-low-mix orders. We elaborate the basic requirements within both business segments and identify suited warehousing systems for brick-and-mortar stores (e.g., fully-automated case picking). The setup of each identified warehousing system is described, elementary decision problems are discussed, and the existing literature is surveyed. Furthermore, we identify future research needs.     

基于策略型消费者的电商平台折扣销售期定价策略研究

电商平台折扣销售期的双重折扣现象激发了巨大的消费需求,本文构建了具有折扣销售期的电商平台和商家的斯坦伯格博弈模型,研究了在电商平台不提供消费者返利和提供消费者返利的情况下商家和电商平台的最优定价策略。从消费者效用出发,结合最优化方法和博弈论,力图为商家和电商平台的决策提供参考。研究结果表明:(1)在电商平台不提供返利时,消费者的策略性越高,正常销售期的价格越高,折扣率越低。(2)当电商平台给消费者提供返利时,正常销售期的价格会升高,而折扣销售期的价格会降低,差异化定价现象愈加明显。(3)当消费者的麻烦成本高于某一阈值时,电商平台提供顾客返利时的收益相比不提供顾客返利时更高且最优利润随着消费者的麻烦成本的增加而增加。(4)拓展部分考虑了过高麻烦成本造成的消费者流失,发现适当的提高消费者的麻烦成本能增加平台和商家的收益,但是当超过一定的范围,会引起用户流失,反而损害双方的利润。     

The state-dependent <Emphasis Type="Italic">M</Emphasis> / <Emphasis Type="Italic">G</Emphasis> / 1 queue with orbit

We consider a state-dependent single-server queue with orbit. This is a versatile model for the study of service systems, where the server needs a non-negligible time to retrieve waiting customers every time he completes a service. This situation arises typically when the customers are not physically present at a system, but they have a remote access to it, as in a call center station, a communication node, etc. We introduce a probabilistic approach for the performance evaluation of this queueing system, that we refer to as the queueing and Markov chain decomposition approach. Moreover, we discuss the applicability of this approach for the performance evaluation of other non-Markovian service systems with state dependencies.     

E-供应链竞争下自营品牌商的第三方零售渠道引入与定价策略

基于电商平台销售渠道的多样性,决策是否引入第三方零售渠道是自营品牌商在现实的E-供应链竞争中常常面临的重要难题。在多渠道竞争环境下,构建由两个自营品牌商和一个电商平台组成的E-供应链系统。考虑品牌商不引入、单一品牌商引入与两个品牌商均引入第三方零售渠道三种情形,分别建立Stackelberg博弈模型并求解,分析了平台佣金、消费者的自营零售渠道偏好和交叉价格弹性系数等因素对第三方零售渠道引入及E-供应链各成员最优策略的影响。研究表明:不同的交叉价格弹性系数和消费者自营渠道偏好对第三方零售渠道引入策略具有差异性,且两个品牌商均引入第三方零售渠道对电商平台最有利。此外,平台佣金、消费者自营渠道偏好和交叉价格弹性系数对自营、第三方商品的定价以及电商平台、品牌商的利润具有重要影响。