一种基于纠缠交换的远程量子链路建立策略

提出一种以纠缠交换作为核心技术的远程量子链路建立策略,建立了基于链路状态矩阵的量子链路模型并分析了纠缠交换的实现和矩阵表示。提出了链路协议栈以及端到端的建立策略,分析了矩阵控制下的纠缠交换和纠缠纯化流程,计算得出了在基于自动重传请求(ARQ)协议经典信息辅助下的链路时延和吞吐量与节点数、误帧率、平均距离、操作成功率之间的定量关系。仿真结果表明：处于同一状态区间内的链路性能随节点数呈现出较为一致和平缓的变化;不同区间内的链路性能差异较为显著,在节点平均距离为1 km、经典信息误帧率为0、纠缠保真度为0.98的情况下,当节点数分别为32、33和34时,链路时延分别为1.0770 ms、1.0903 ms和1.6690 ms,链路吞吐量分别为0.9285 kb/s、0.9172 kb/s和0.5992 kb/s。     

东北地区城市与区域相互作用的动力机制

从区位和交通条件、资源禀赋与资源地域组合、区域发展外部势力介入、计划经济时期重化工业基地建设、制度环境等方面探讨了东北地区城市与区域相互作用的动力机制,进而为解决东北地区城市和区域的关系问题,促进城市与区域的良性互动,提高城市与区域整体实力提供科学参考.     

国外高校与区域的联动发展

在简要回顾相关研究背景的基础上,从"社区复兴"、"产业孵化"、"区域创新"三个层面总结了国外高校、园区与社区联动的进展情况.随后对高校推动区域发展的机制进行介绍,高校对社区的推动主要围绕着六个层面展开.最后结合国外实践,对高校参与区域开发及其之间的联动进行思考和总结,认为要发挥地方政府的组织、引导和推动作用,构建利益共同体,形成协力,实现资源共享,为"三区联动"打造适宜的交流平台.     

Positioning of the stakeholders in the interaction project management–project marketing: A case of a coconstructed industrial project

Based on a business‐to‐business (B‐to‐B) case within the automotive industry, this study proposes logics (constructivist and determinist, respectively) of protagonists and highlights the complexity of their dynamics during the successive project's phases. The concept of milieu will emphasize the complex business in which project marketing takes place; notably, it allows better identification of relevant relationships. Our article focuses on this concept of milieu with regard to the interactions between project marketing and project management actors during project phases. In particular, this article underlines the difference and the accommodation between the dynamics of interaction and the dynamics of congruence of marketing and management logics.     

公交优先信号控制优化方法

根据信号交叉口理论,在以往信号延误研究的基础上,考虑到公交车辆平均载客数远大于社会车辆平均载客数,以减少交叉口人总延误最小为系统优化目标,分析并推导了公交优先信号控制优化模型,并用具体的实例说明了公式的用法。研究结果表明,交叉口人均延误减少量与公交车流率及优先时间的长短有关。运用该优化方法能够明显降低交叉口的人均延误,有效保证公交车的准时性,是减少公交车延误的一种可行、有效的方式。     

论音乐的教学相长

教学相长,其本质是一种师生互动行为,是一种教——学——讨论交流——归纳指导的教学方法。我们探讨教学相长,其主旨是培养"学生主体",重视学生的学习能力,主张自我提高,自我发展,自我完善的个体意识。     

汽车检测线模拟量的检测方法

本文重点研究轴重、制动等汽车检测线模拟量测试方法及数据处理。     

Evaluating the potential of agent-based modelling to capture consumer grocery retail store choice behaviours

Evolving consumer behaviours with regards to store and channel choice, shopping frequency, shopping mission and spending heighten the need for robust spatial modelling tools for use within retail analytics. In this paper, we report on collaboration with a major UK grocery retailer to assess the feasibility of modelling consumer store choice behaviours at the level of the individual consumer. We benefit from very rare access to our collaborating retailers’ customer data which we use to develop a proof-of-concept agent-based model (ABM). Utilising our collaborating retailers’ loyalty card database, we extract key consumer behaviours in relation to shopping frequency, mission, store choice and spending. We build these observed behaviours into our ABM, based on a simplified urban environment, calibrated and validated against observed consumer data. Our ABM is able to capture key spatiotemporal drivers of consumer store choice behaviour at the individual level. Our findings could afford new opportunities for spatial modelling within the retail sector, enabling the complexity of consumer behaviours to be captured and simulated within a novel modelling framework. We reflect on further model development required for use in a commercial context for location-based decision-making.     

一种高能效低时延的LLN路由修复算法

由于低功耗有损网络(LLN)中无线链路的不稳定性和有损性,外部环境的干扰极易导致网络出现故障,从而严重影响网络性能,而LLN网络中现有路由修复算法存在控制开销冗余和修复时延较大等问题。为此,提出了一种高能效低时延的LLN路由修复算法(EELDR-RPL)。该算法通过采用“零额外控制开销通告链路故障及邻居节点信息”机制,使得链路故障节点的子节点能够及时获知链路故障以及链路故障节点的邻居情况;通过采用“自适应调整节点网络深度值”机制,使得链路故障节点能够快速地重新接入网络;通过采用“链路故障节点子节点自适应切换”机制,能够达到优化网络拓扑的目的。仿真结果表明,与现有路由修复算法相比,EELDR-RPL算法能够有效地降低路由修复时延和减少控制开销。