光缆自动化监测系统

介绍了远程光纤监测系统(RFTS)的结构、测试方法及其与电信管理网(TMN)的结合情况,并列举出一些典型的RFTS系统以阐明其应用和发展趋势。同时,还讨论了影响光时域反射仪(OTDR)测试精度的要素和消除测试误差通常采用的对策。     

等概率条件下的转弯型堆垛机作业效率的计算研究

转弯型堆垛机是自动化立体仓库中实现货物自动存取的关键设备,文中对转弯型堆垛机效率问题进行研究。在假定等概率拣取货物的条件下,分别推求转弯型堆垛机的平均单一作业和复合作业循环周期和作业效率的计算公式,并利用华南理工大学仓储综合实验室的基本数据进行了作业效率的实证计算,从而为自动化立体仓库系统的建设设计和有效管理提供依据。     

Semiparametric time series models driven by latent factor

We introduce a class of semiparametric time series models (SemiParTS) driven by a latent factor process. The proposed SemiParTS class is flexible because, given the latent process, only the conditional mean and variance of the time series are specified. These are the primary features of SemiParTS: (i) no parametric form is assumed for the conditional distribution of the time series given the latent process; (ii) it is suitable for a wide range of data: non-negative, count, bounded, binary, and real-valued time series; (iii) it does not constrain the dispersion parameter to be known. The quasi-likelihood inference is employed in order to estimate the parameters in the mean function. Here, we derive explicit expressions for the marginal moments and for the autocorrelation function of the time series process so that a method of moments can be employed to estimate the dispersion parameter and also the parameters related to the latent process. Simulated results that aim to check the proposed estimation procedure are presented. Forecasting procedures are proposed and evaluated in simulated and real data. Analyses of the number of admissions in a hospital due to asthma and a total insolation time series illustrate the potential for practical situations that involve the proposed models.     

基于缩短响应时间的供应链管理系统的实现

系统地研究了基于缩短响应时间的供应链管理模式,提出了四个订单流驱动的控制原理。以缩短供应链响应时间为目标,提出了基于Web的供应链管理系统解决方案。并实现了供应链管理系统的系统管理、客户关系管理、电子购销管理、合同管理、订单管理、仓储管理、运输管理和配送管理功能,该软件系统能够提高管理人员供应链管理的智能化决策水平。     

Noisy signaling in discrete time

This paper characterizes the equilibrium set of a dynamic noisy-signaling model in discrete time. A seller privately knows the quality of her asset. She can exert a costly effort to generate stochastic returns. Buyers stochastically arrive over time and, after observing the history of returns, they make price offers. In our model, the equilibrium behavior of the buyers is discontinuous: they only make acceptable (high) offers if the posterior about the quality is above a given threshold. As a result, the recursive nature of the model replicates the discontinuity, giving the equilibrium continuation payoff a complex self-replicating structure that may take the form of a devil’s staircase.     

城乡规划法的价值演进

城乡规划法本质上与时空发展的状况具有耦合性,其范式是不断演进的.2008版城乡规划法是新时空精神的升华,内容框架和价值取向都有较大的创新.该法体现了利益主体的多元化,表现了从"计划"到"市场"的转型,反映了空间上的城乡统筹导向以及策略上的公共政策属性.同时,2008版城乡规划法在规划协作、规划体系等方面所存在的一系列问题,需要在实践中不断地解决和修正.     

Filtration enlargement-based time series forecast in view of insider trading

This survey reviews filtration enlargement models in view of insider trading. Although filtration enlargement aptly models insiders' informational advantage, the theoretical results have not attracted the attention of the empiricists, owing mainly to the lack of a bridge transforming the results to testable hypotheses, and/or the absence of econometrics method linking the hypotheses and the data. This survey provides a feasible avenue to estimate insider information and to detect trading from a relatively sophisticated theoretical model, where the dynamics of publicly available data (e.g., stock price) implies insider information before the information is completely digested. We complete the survey with an empirical illustration based on simulated data.     

Asymmetries and interdependencies in time use between Italian parents

In recent decades, changes in parents’ attitudes towards the importance of spending time with children to optimize their future behaviour and cognitive development have greatly affected patterns of time allocation among both working and nonworking parents in all developed countries. We compare the two waves of the Italian Time Use dataset (1988 and 2002) to analyse how family time allocation changed over time in a country that was undergoing a marked increase in female employment rate and a continuous decline in total fertility rate. We focus especially on how parents’ time with their children depends on their employment status and household characteristics. Using a simultaneous sequential approach, we consider links among the different time uses of individuals and correlations with spouses’ decisions. We find that wives’ time at work time strongly influences the time spent by both spouses with their children in 2002, but not in 1988. Fathers were much more involved in childcare and rearing in 2002 than in 1988. In general, as women's work time increased, substitutes for their childcare time were found within the household (fathers or other co-resident adults).     

On the determinants of household debt maturity choice

This article jointly analyses a behavioural and a cultural concept to explain household debt portfolio choice. The behavioural approach explores the role of time preferences on household debt maturity in a theoretical model and a numerical analysis. We derive a positive relationship between the long-term discount factor δ and the optimal maturity of household loans. The cultural approach examines whether national culture is a reasonable predictor for household debt maturity. We show that culture is an important factor for households’ borrowing decisions and has even more predictive power than time preferences. Countries with higher scores on the Hofstede dimension of long-term orientation tend to have shorter household debt maturity. Time preferences incur a primarily mediating role, because the effect of national culture on the borrowing decision is reduced, as the long-term discount factor δ increases.     

Was the recent downturn in US real GDP predictable?

This article uses a small set of variables – real GDP, the inflation rate and the short-term interest rate – and a rich set of models – atheoretical (time series) and theoretical (structural), linear and nonlinear, as well as classical and Bayesian models – to consider whether we could have predicted the recent downturn of the US real GDP. Comparing the performance of the models to the benchmark random-walk model by root mean-square errors, the two structural (theoretical) models, especially the nonlinear model, perform well on average across all forecast horizons in our ex post, out-of-sample forecasts, although at specific forecast horizons certain nonlinear atheoretical models perform the best. The nonlinear theoretical model also dominates in our ex ante, out-of-sample forecast of the Great Recession, suggesting that developing forward-looking, microfounded, nonlinear, dynamic stochastic general equilibrium models of the economy may prove crucial in forecasting turning points.