An Empirical Analysis of Green Experiential Loyalty: A Case Study

The purpose of this study is to elaborate the structural relationships among the experiential quality dimensions, experiential trust, emotional attachment, experiential image, switching experience, experiential satisfaction, and experiential loyalty from the green perspective. The study findings are based on structural equation modeling (SEM) analysis of a convenience sample of 560 customers at one green restaurant in Taipei City, Taiwan. The findings show that investing resources in an increase in the experiential quality dimensions and a decrease in green switching experience is useful to enhance green experiential trust, green emotional attachment, green experiential image, green experiential satisfaction, and green experiential loyalty.     

INTERNATIONAL RESERVE MANAGEMENT: A DRIFT‐SWITCHING REFLECTED JUMP‐DIFFUSION MODEL

We study the cost of shocks, that is, jump risk, with respect to reserve management when the reserve process is formulated as a drift‐switching jump diffusion with a reflecting barrier at 0. Inspired by the Brownian drift switching model, our model results in a more realistic dynamic behavior of international reserves than the buffer stock model. The new model can capture both the jump behavior in reserve dynamics and the leptokurtic feature of the increment distribution which has a higher peak and two asymmetric heavier tails than the normal distribution. Through the selection of an initial distribution that reflects certain steady state behaviors, the reserve process becomes a regenerative process. This selection enables us to derive a closed‐form expression for the total expected discounted cost of managing reserves, thus helping us to numerically find management strategies that minimize costs. The numerical results show that shocks at the reserve level have a significant effect on reserve management strategies and that model misspecification can result in nonnegligible additional costs.     

Volatility forecasting: long memory,regime switching and heteroscedasticity

In this article, we account for the first time for long memory, regime switching and the conditional time-varying volatility of volatility (heteroscedasticity) to model and forecast market volatility using the heterogeneous autoregressive model of realized volatility (HAR-RV) and its extensions. We present several interesting and notable findings. First, existing models exhibit significant nonlinearity and clustering, which provide empirical evidence on the benefit of introducing regime switching and heteroscedasticity. Second, out-of-sample results indicate that combining regime switching and heteroscedasticity can substantially improve predictive power from a statistical viewpoint. More specifically, our proposed models generally exhibit higher forecasting accuracy. Third, these results are widely consistent across a variety of robustness tests such as different forecasting windows, forecasting models, realized measures, and stock markets. Consequently, this study sheds new light on forecasting future volatility.     

南通节制闸闸门自动控制系统设计

以南通节制闸为应用背景，介绍了液压启闭闸门自动控制系统的设计方法，给出了系统的三级网络结构及相应的操作控制功能。     

基于模糊意见集中排序法的建筑工程资格预审

建筑工程资格预审无论对业主还是对承包商都至关重要，根据建筑工程的特点，在目前普遍采用的资格预审评价方法的基础之上，总结了进行资格预审的评价指标体系，并提出了基于模糊数学意见集中排序法的建筑工程资格预审方法。     

AutoCAD 下非结构网格自动生成

在AutoCAD环境下，从背景网格生成和数据结构两方面对推进阵面法进行修正。采用修理后的方法，使得在流场、泥沙输移和床面冲淤数值计算的前处理过程中无须精心预设内部控制点而只需给边界一个尺度，就能自动生成适应任意复杂边界的非结构网格，从而提高网格生成、优化的效率和通用性。     

广州抽水蓄能电站厂区消防设计述评

广州抽水蓄能电站是我国第一座高水头，大容量的抽水蓄能电站，该电站按无人值班设计，为此对火灾探测和消防报警以在动灭火系统的自动化程序和可靠性比常规电站有更高的要求，本文重点介绍法国CEGELEG（集团）公司消防设计特点，并对设计中存在的主要问题进行了分析。     

天津独流减河工程监控系统现地通信单元设计

提出一种配电网电容电流测量的新方法，在零序电压互感器的开口三角侧串联一个可调电感，通过注入一个变频恒流信号寻找配电网的谐振频率，改变可调电感的数值后寻找另一谐振频率，联立2个谐振方程求解电容电流，该方法消除了电压互感器漏抗对测量的影响。开发了配电网电容电流测量仪，经模拟试验和现场测试表明，该方法具有安全、快捷、准确等特点，适用于中性点不接地或经随调式消弧线圈接地配电网。     

新丰江大坝监测自动化系统的成功实施与现场维护

本文介绍了新丰江大坝监测自动化系统从失败走向成功的实施过程，强调了良好的工作环境以及精心的现场维护在大坝监测自动化应用中的重要性。     

暴雨洪水流域系统随机模拟(研究之三)

本文提出的移置特大暴雨的不连序序列的随机插补方法,以及利用W—H逆变换法将偏态暴雨序列转为正态序列和随机扣除模拟的暴雨过程损失量等方法,基本是可行的,对提高模型的代表性、稳定性和实用性有重要作用。