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。     

台湾新竹科学工业园区学习型创新体系研究及其启示

本文在对区域创新体系研究简要概述的基础上,提出了学习型区域创新体系概念,并以我国台湾地区新竹科学工业园区创新体系为例,分析了学习型创新体在台湾新竹科学工业园区发展进程中的作用,并指出对我国其他地区建设学习型区域创新体系的启示。     

Runway safety at airports: A systematic approach for implementing ultra-safe options

Enhancing airport runway safety is a difficult problem because runway accidents are rare events. Nonetheless, investments are being directed at improving safety for US airport ground traffic control systems. This paper shows that under these circumstances it is difficult to assess and measure the added safety offered by new replacement systems. We develop a framework for introducing and sequencing system improvements to provide greater assurances in enhancing safety. This framework shows how a new method can first be introduced as a secondary system, to test and verify its efficacy prior to its adoption as a primary system.     

Consumer willingness to pay for in-flight service and comfort levels: A choice experiment

In the competitive aviation market as a result of the emergence of low cost carriers, charter airlines have had to reconsider their approach to service provision. Specifically, the reduction in service and comfort levels offered by the low cost airlines provides charter carriers with an opportunity to differentiate their product based on the quality of the offering. To consider this strategic option we employ an on-line choice experiment to examine consumer choices with respect to the bundle of services on offer when deciding to purchase a flight. With these data we use the Bayesian methods to estimate a mixed logit specification. Our results reveal that in principle passengers are willing to pay a relatively large amount for enhanced service quality.     

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。     

Liberalization,Regulatory Delays and Vulnerability to Systemic Banking Crisis

This work aims at contributing to the improvement of the early warning systems of banking crises using a new approach accounting for model uncertainty. We show that a multinomial logit model based on Bayesian model averaging (BMA) is a good strategy to predict banking crisis. To do this, we argue that differences in vulnerability to banking crisis can be largely explained by an asymmetry between financial market evolution and regulation update on a sample of 49 developed and developing countries between 1980 and 2010. When markets are liberalized, competition pushes bankers to take more risks and take advantage of regulatory delays thus increasing crises probabilities. Our empirical evidence supports that crisis probability is higher in country liberalizing their banking system when regulation is not updated. We developed an early warning system for systemic banking crises based on the multinomial logit model. Its main difference to existing prediction models and its contribution to the literature is that it is intended to identify and resolve what is called by Bussiere and Fratzscher [(2006). Towards a new early warning system of financial crises. Journal of International Money and Finance, 25(6), 953–973] as post-crisis bias in binomial models and to develop a new methodology of leading indicators selection based on BMA. Overall, our model predicts all banking crises during our sample period.     

Effects of income and social awareness on consumer WTP for social product attributes

Recent developments in environmental and animal welfare issues, and the introduction of new production practices may have affected consumer attitudes and preferences toward differentiated product choice. Factors such as animal well-being, environmentally friendly production, and the use of antibiotics appear to be increasingly core consumer concerns. We link the aforementioned with Maslow's hierarchy of needs suggesting that the higher income consumers should be more altruistic in their consumptive behavior and test this by evaluating consumer preferences for these attributes in pork chops. We also test whether social consciousness of the consumers translates into choice behavior. Data was obtained by choice experiment surveys and mixed logit estimation was used to estimate consumers' willingness-to-pay for the credence attributes. Results reveal that both, higher income and socially aware consumers are on average willing to pay higher premiums for the antibiotic-free attribute, but not for other two social attributes. Also, the group of higher income consumers is highly heterogeneous in their preferences, whereas socially aware consumers tend to be more homogeneous in their preferences.     

征信活动中的个人权益保护：制度构想及环节再现

从制度层面研究我国个人信用征信权益保护的立法现状以及现行立法的缺陷,结合我国具体国情,借鉴国外立法,认为应合理界定个人信用征信的范围,建立多层次的信用主体权益保障和救助机制,并在征信活动各环节中体现个人权益保护精神等,以建立和完善我国个人信用征信权益保护制度。     

重点产业环节选择理论与方法研究——水晶模型分析框架

新时期重点产业环节选择研究具有重要的理论价值与实践意义。在对相关理论进行了梳理和重构的基础上,从我国主体功能区建设的时代要求出发,系统构建重点产业环节选择的水晶模型及分析框架,研究认为重点产业环节选择不同于主导产业选择,是一个复杂的"水晶"体系,主要包含八大主要影响要素,即主体功能区建设、市场需求、技术经济、生产要素供给、产业基础、产业关联、政府和全球化,并由此提出相应的的八大选择基准。最后以湖南省太阳能光伏产业重点环节选择为例,进行了实证分析和理论检验。     

Determinants of Length of Stay for Domestic Tourists: Case Study of Yixing

The length of stay of a tourist is one of the most important factors indicating consumption levels and revenue generation for certain tourist destinations. This study employs data from a tourist survey in Yixing, China, to investigate potential factors influencing a tourist's length of stay. Applying an ordered logit model, it is found that distance, age, organized tour, transportation, motivation, past visits and assessment of accommodation are some of the major determinants of a tourist's length of stay. The results indicate that traveling distance and the assessment of accommodation are positively associated with the length of stay. In addition, tourists with different modes of transportation, motivations and past visits have different durations of stay. Based on the estimation results from subsamples, it is also found that there are differences in determinants of length of stay between organized tourists and individual tourists, and among different age groups.