Analysis of the Current Situation, Influential Factors, and Countermeasures of Rural E-commerce Development

The development of rural e-commerce is becoming an important driver for the transformation of China’s rural economy,and with the rapid development of information technology and the upgrading of the agricultural industry,rural e-commerce is showing a vigorous momentum of development.Traditionally,agricultural products are mainly sold through traditional farmers’markets,which are subjected to geography and channel limitations,resulting in inefficient circulation of agricultural products.This paper analyzes the definition,the status quo,as well as the influencing factors of rural e-commerce development.On this basis,countermeasures for the advancement of rural e-commerce development are put forward.

Study on the E-commerce Ordering Platform of CKD/IKD

CKD/IKD is a new technology management method which should be used instead of commerce mode of CBU.In the international trade,as to the products with fast update,complex structure,mass variety,complicated sales states and multi- mode configuration,when they are exported to enterprises without independent technology of products design from the OEM suppli- ers in the form of CKD/IKD.The all-around intellectualized management of CKD/IKD customization,purchase and supply will be realized by transforming automatically between CKD/IKD orders and parts orders in ERP systems through KD virtual collabo- rative center,combining the e-commerce sales system,ERP,SCM,CRM,PDM and export management system.

A Cluster-Based Virtual Cooperative MIMO Transmission Scheme

The most essential issue is to ensure the reliability of data transmission during wireless communication and reduce energy consumption of the network for supervising the environmental state using wireless sensor network(WSN).Here,a cluster-based virtual cooperative MIMO transmission scheme(CVCM) is suggested,The proposed scheme involves optimization of cooperative nodes and the modulation speed dynamically as per the distance space the cluster head and the sink node,in order to minimize the communication energy consumption of each virtual MIMO unit and the convergence node,thereby reducing the capacity consumption of the entire network.Simulation and experimental results demonstrate the effectiveness of CVCM in reducing network energy consumption,increasing the network lifetime and improving data reception performance of the base station.

Energy-efficient low-latency virtual cluster synchronization algorithm based on SMAC protocol in wireless sensor networks

The MAC protocol design for wireless sensor networks has been researched and developed for decades. SMAC protocol is a famous energy-efficient MAC protocol. Based on SMAC protocol, we find that the boundary nodes in the cluster-shaped synchronization structure bring energy consumption seriously, and provide a virtual cluster aggregation (VCA) algorithm. Because the bounder node follows multiple schedules in one cycle, it may deplete earlier and cause segmentation in wireless sensor networks. The algorithm reduces energy consumption of boundary nodes and extends the lifetime of entire sensor network by merging different virtual clusters, but increases the data transmission delay. Because the sensor nodes have the fixed duty cycle, the larger the coverage area of network is, the greater the data transmission delay increases. We propose the dynamic duty cycle (DDC) algorithm to solve this effect. When the network load and data transmission delay increase, the DDC algorithm exponentially changes the duty cycle of the node to reduce latency. The simulation results show that the performance of SMAC with the VCA and DDC algorithm obtains improvement significantly.

Electricity-Carbon Interactive Optimal Dispatch of Multi-Virtual Power Plant Considering Integrated Demand Response

As new power systems and dual carbon policies develop,virtual power plant cluster(VPPC)provides another reliable way to promote the efficient utilization of energy and solve environmental pollution problems.To solve the coordinated optimal operation and low-carbon economic operation problem in multi-virtual power plant,a multi-virtual power plant(VPP)electricity-carbon interaction optimal scheduling model considering integrated demand response(IDR)is proposed.Firstly,a multi-VPP electricity-carbon interaction framework is established.The interaction of electric energy and carbon quotas can realize energy complementarity,reduce energy waste and promote low-carbon operation.Secondly,in order to coordinate the multiple types of energy and load in VPPC to further achieve low-carbon operation,the IDR mechanism based on the user comprehensive satisfaction(UCS)of electricity,heat as well as hydrogen is designed,which can effectively maintain the UCS in the cluster within a relatively high range.Finally,the unit output scheme is formulated to minimize the total cost of VPPC and the model is solved using theCPLEX solver.The simulation results showthat the proposed method effectively promotes the coordinated operation among multi-VPP,increases the consumption rate of renewable energy sources and the economics of VPPC and reduces carbon emissions.

A Virtual Router Cluster System Based on the Separation of the Control Plane and the Data Plane

This paper proposes a virtual router cluster system based on the separation of the control plane and the data plane from multiple perspectives,such as architecture,key technologies,scenarios and standardization.To some extent,the virtual cluster simplifies network topology and management,achieves automatic conFig.uration and saves the IP address.It is a kind of low-cost expansion method of aggregation equipment port density.

A Modeling Framework Based on Enterprises Cluster for Virtual Enterprise

As a new type of organization form,virtual enterprise is believed to have many theoretical advantages,but these advantages have not been fully shown in practice yet.The paper intends to analyze the causes and to propose ideas to solve the problem.Starting from the characteristics of virtual enterprise,the paper analyzes the factors hindering the practice of the virtual enterprises,evaluates the lack of existing models,and then comes to the conclusion that a unified, simplified model is more conducive to the realization of virtual enterprise according to the actual situation.Learning from the mechanism of enterprises cluster,the paper suggests a modeling framework for the new idea of virtual enterprise which is effective in operation.The main contributions of this modeling include:constitute a standardized operating platform to overcome the prime obstacle from the diversity of the partners for the practice of virtual enterprise;and set up a collaboration layer as the buffer mechanism between the partners and the database.

数字文化产业虚拟集群的形成机理及其系统动力学分析

因现代信息技术与互联网平台属性加持,数字文化产业虚拟集群相较于传统地理集群,存在更强的集群正外部性、规模经济效应、知识溢出效应和产业分工效应,即数字文化产业虚拟集群的形成存在发展规律与内在逻辑上的必然。基于系统动力学模型,发现良好的社会经济环境、数字基础设施、升级的文化消费需求、技术要素、人力资本、文化资源禀赋以及政策因素,在“经济—资源—政策”系统内形成了显著的正反馈作用,这也是数字文化产业虚拟集群最终形成的决定性动因。我国应继续鼓励并推动文化产业融合,积极拓展虚拟集群业务功能,努力完善数字文化内容版权保护机制,强化虚拟集群的平台治理水平,引导数字文化产业虚拟集群的价值导向,从而更好地释放集群的文化价值与经济影响。

一种无需指定船舶位置的新型船舶大规模自主编队方法

[目的]针对船舶大规模编队通信量大、编队速度慢、不便于扩充等问题,提出一种新型的虚拟壁面编队方法。[方法]使用局部通信,根据自然规律,设定虚拟作用力驱使船舶向目标位置集合,并通过虚拟壁面调整队形,从而实现船舶编队的目的。[结果]结果表明,所提方法能够按照“就近原则”快速地完成编队,通信量低且不随编队规模而增加。通过对船舶编队的静态、动态、旋转、缩放和避障的仿真验证了这种算法的有效性。[结论]所提虚拟壁面法具有通信量低、编队速度快、扩充简单等优势,在船舶大规模编队中具有明显优势。

高校虚拟仿真实验课程应用评价研究

虚拟仿真实验课程,是国家一流课程的重要组成部分,是高校实验教学的重要资源,是信息技术融入实验教学的基本体现。虚拟仿真实验课程的应用评价对于促进该课程的可持续发展意义深远。根据教育部已认定的面向高校和社会免费开放并提供教学服务的虚拟仿真实验课程,基于其应用数据,采用K-means聚类方法和多项逻辑回归方法,分析其应用活跃度和影响因素,发现不同课程群组的应用特征和影响因素,可为改进课程提供建议,可为课程评价提供依据。

基于风电分时电价的虚拟电厂参与清洁供暖运营优化方法

随着“碳达峰、碳中和”目标的提出,迅速发展的风电由于其随机性与波动性,面临突出的风电消纳问题。蓄热式电采暖作为中国北方地区主要供暖设备,虚拟电厂作为需求侧资源的主要聚合技术手段,聚合蓄热式电采暖的虚拟电厂可为消纳风电、提高风电利用率提供解决途径。对此,提出一种基于风电功率的分时电价划分方法,实现虚拟电厂聚合蓄热式电采暖参与基于分时电价的清洁供暖交易优化运营。首先,阐述虚拟电厂聚合蓄热式电采暖用户参与风电供暖的交易模式;其次,考虑热惯性对蓄热式电采暖和房屋进行精细化建模,提出基于层次凝聚聚类算法的分时电价方法,建立基于Weber-Fechner定律的负荷模糊响应模型,并构建多方主体综合收益最大、弃风量最小和负荷波动最小的虚拟电厂多目标运营优化模型;最后,通过算例分析风电消纳效果和虚拟电厂收益,验证该方法能够有效促进风电消纳、提高多方主体积极性,并具有一定的规模经济性,以期为缓解弃风问题提供参考。

SMEC:Scene Mining for E-Commerce

Scene-based recommendation has proven its usefulness in E-commerce,by recommending commodities based on a given scene.However,scenes are typically unknown in advance,which necessitates scene discovery for E-commerce.In this article,we study scene discovery for E-commerce systems.We first formalize a scene as a set of commodity cate-gories that occur simultaneously and frequently in real-world situations,and model an E-commerce platform as a heteroge-neous information network(HIN),whose nodes and links represent different types of objects and different types of rela-tionships between objects,respectively.We then formulate the scene mining problem for E-commerce as an unsupervised learning problem that finds the overlapping clusters of commodity categories in the HIN.To solve the problem,we pro-pose a non-negative matrix factorization based method SMEC(Scene Mining for E-Commerce),and theoretically prove its convergence.Using six real-world E-commerce datasets,we finally conduct an extensive experimental study to evaluate SMEC against 13 other methods,and show that SMEC consistently outperforms its competitors with regard to various evaluation measures.

基于Cluster的多服务器容错与切换技术的研究

本文对Cluster集群技术进行了讨论 ,着重分析了基于Cluster的多服务器容错与切换技术 ,同时给出了一个基于Cluster的双服务器容错与切换的应用实例。

基于主动表征数据的城市虚拟空间意象测度研究--以南京中心城区为例

城市意象作为民众对建成环境特征要素的集体记忆,表征着城市的在地性文化和市民的集体认同,是构建人本城市的重要基石,成为高质量发展背景下的重要议题。在网络社会背景下,城市意象呈现出“基于现实世界的体验式感知”“基于虚拟空间的泛在化感知”两种不同的感知模式;虚拟空间意象的相关研究成为热点。以南京中心城区为例,文章基于主动表征数据,采用地理信息系统(GIS)空间分析、OPTICS算法和自然语言处理(NLP)方法,构建虚拟空间意象测度模型,发现虚拟空间意象热点呈现“核心+边缘”的分布模式和“历史城区集聚,外围散点分布”的集聚特征。基于“由点到面”的聚类思想,采用OPTICS聚类方法测度区域要素,填补相关研究空白;创新性地将情绪性分析引入虚拟空间意象的评估,结合感知热度和情绪强度,划分节点和标志要素;将识别结果与南京市国土空间总体规划进行对比,验证本方法的准确有效性和研究价值。

基于UE4技术平台的赣南苏区红色文化遗址建筑群三维虚拟仿真关键技术研究

随着科技的发展,数字化技术在保护和传承文化遗产方面发挥着越来越重要的作用。红色文化遗址作为我国重要的文化遗产,具有独特的历史价值和文化意义。然而,由于这些遗址往往年代久远,且受到自然和人为因素的侵蚀,保护和传承难度较大。基于UE4技术平台的三维虚拟仿真技术为红色文化遗址的保护和传承提供新的解决方案。该文旨在探讨基于UE4技术平台的赣南苏区红色文化遗址建筑群三维虚拟仿真关键技术研究,以期为数字化保护和传承红色文化遗产提供理论和实践支持。

VIA(Virtual Interface Architecture)上的软件DSM系统实现和性能

在由高性能PC搭建的Linux机群系统上 ,传统的网络接口体系结构引入了巨大的软件处理开销 ,无法满足虚拟共享存储并行应用对通信带宽、延迟和进程间同步的需求 .用户级网络接口标准———虚拟接口体系结构(VirtualInterfaceArchitecture ,VIA)与传统的网络接口体系结构相比 ,在软件协议开销、通信关键路径上操作系统的干预程度、通信和计算的重叠程度以及实现零拷贝等方面 ,具有明显的优势 .通过在传统网络通信接口和VIA通信接口上虚拟共享存储系统的性能对比 ,采用VIA网络接口体系结构可有效地提高虚拟共享存储系统的性能和可扩展性 .

文化产业虚拟集群对我国省域网络文化软实力的影响

文化产业虚拟集群是文化企业成员基于数字技术,在信息共享与价值交换理念下形成的网络平台组织。数智时代,文化产业虚拟集群在数据要素效率倍增的中介作用下,能够借助展示平台、承载形式、表现方法、传播途径等实现网络文化软实力的提升。为此,以爱奇艺虚拟集群为例,选择空间杜宾双重差分模型佐证了上述观点。同时研究还发现,文化产业虚拟集群对周边省域网络文化软实力的提升存在“虹吸效应”,且相较于中西部地区,文化产业虚拟集群对东部地区的网络文化软实力影响更加显著。综上,我国应努力协调区域间的数字文化资源配置、改良文化软实力传播渠道、强化文化产品的精神属性与文化认同,从而赓续文化传承,实现我国文化软实力与影响力的进一步增强。

基于电厂同步多点测量数据的相关聚类分析

为了对电厂的同步多点测量数据进行分析,使用全局指标代替经典参数的方法来减少分析数据量,并检查相位值之间的相关性。利用k-means算法进行聚类分析,检测和排除数据集中的异常值,以确保从一般角度实现评估,得出电能质量点之间的关系,并对聚类分析方法清洗后的电厂数据进行多点测量的相关性分析。电能质量的不同测量点之间的相关性是使用Pearson系数和Spearman秩系数来实现的。分析结果表明,电压包络线和闪烁指示器之间的相关性降低,但仍然显著,全局指标之间存在较多的显著相关性,可以为解决电厂的电能质量问题提供参考。

大数据消冗技术下虚拟网络聚类特征层次布局算法

针对在虚拟网络布局过程中,存在大量重复特征与相关性较少的特征,影响其布局效率的问题,提出了大数据消冗技术下虚拟网络聚类特征层次布局算法。利用加权无向图方式建立虚拟网络图,通过社团划分虚拟网络社团结构,在保持原有特征不变的前提下,最大限度消除虚拟网络聚类特征,得到相关性较大特征;根据库伦力的斥力增加各社团之间距离,采用胡克定律的引力缩小网络节点与中心点之间距离,结合共轭梯度(FR:Flecher-Reeves)算法调整虚拟网络聚类特征层节点的斥力与引力之间关系,实现层次布局算法。实验结果表明,所提算法能更加清晰展现出各社团内部结构特征,且布局用时最短。