单参数航空发动机性能衰退评估数学模型的建立

航空发动机是各种飞机的动力装置主要组成部分,被称为飞行器"心脏"。作为机械与电子高度融合的航空发动机,在使用过程中性能会出现不同程度的衰退。但如何方便快捷地计算出衰退的进程及其程度是很困难的。为解决这一难题,在性能衰退评估中采用排气温度这一单一参数,并建立其有关数学模型,简便有效地解决使用中的困惑。     

高职学生职业能力测评的工具与方法研究

职业能力测评是衡量学生素质能力高低的标准,对高职学生职业素质能力的评定和测定具有重要作用。高职学生职业能力测评必须借助合理的测评工具和测评方法进行,以此形成对学生职业能力的准确评价,进而指导学生不断提升职业能力,适应就业需要。     

基于Abaqus的花盆架关键结构强度的数值模拟研究

建立两种典型花盆架有限元模型,运用Abaqus进行数值模拟,对比两种结构形式的数值模拟结果,选择最优方案。对花盆架及其他支架类家用机械的优化设计提供理论指导和经验借鉴。     

分析电力通信光纤传输网络评估与优化方法

本文主要就是结合了一些实际工作经验,对电力通信光纤传输网络的评估方法进行了简单的分析,然后在此基础之上提出了优化的方法,希望能够促进电力通信光纤传输网络稳定健康的发展。     

高职Photoshop课程考核方式改革实验研究

培养面向生产第一线的高等应用技能型专业人才这是进行高职教育目标所在,开展高职教育需要重视实践教学,进一步培养学生的动手能力。本文通过分析高职教学特点,探讨Photoshop课程的考核方式,在一定程度上引导师生注重能力培养,进而真正体现高职人才的培养要求。     

Bayesian Variable Selection in Spatial Autoregressive Models

This paper compares the performance of Bayesian variable selection approaches for spatial autoregressive models. It presents two alternative approaches that can be implemented using Gibbs sampling methods in a straightforward way and which allow one to deal with the problem of model uncertainty in spatial autoregressive models in a flexible and computationally efficient way. A simulation study shows that the variable selection approaches tend to outperform existing Bayesian model averaging techniques in terms of both in-sample predictive performance and computational efficiency. The alternative approaches are compared in an empirical application using data on economic growth for European NUTS-2 regions.     

浅谈高速公路工程全过程造价控制方法与措施

当前高速公路建设迅速扩展,但对高速公路工程造价的控制、管理缺乏,工程造价过高问题没有得到改善,文章针对高速公路工程的各个环节提出了具体的造价控制方法和措施。     

工业工程审核在企业中的应用研究

本文首次提出了工业工程审核的概念,分析了工业工程审核、工业工程技术、企业管理和专业工程技术之间的关系以及工业工程审核在企业中的审核流程,并结合某企业实际案例指明了企业可以通过工业工程审核,有效的提高员工的工作效率、降低企业成本和增强企业的竞争力。工业工程审核在解决目前国内企业在工业工程应用率低的问题上具有很高的理论意义和实践意义。     

Detecting Dependence Between Spatial Processes

Abstract

Testing the assumption of independence between variables is a crucial aspect of spatial data analysis. However, the literature is limited and somewhat confusing. To our knowledge, we can mention only the bivariate generalization of Moran's statistic. This test suffers from several restrictions: it is applicable only to pairs of variables, a weighting matrix and the assumption of linearity are needed; the null hypothesis of the test is not totally clear. Given these limitations, we develop a new non-parametric test, Υ(m), based on symbolic dynamics with better properties. We show that the Υ(m) test can be extended to a multivariate framework, it is robust to departures from linearity, it does not need a weighting matrix and can be adapted to different specifications of the null. The test is consistent, computationally simple and with good size and power, as shown by a Monte Carlo experiment. An application to the case of the productivity of the manufacturing sector in the Ebro Valley illustrates our approach.     

More than mere fragments? The use of the Workplace Employment Relations Survey data in HRM research

This paper explores the use of the British Workplace Employment Relations (WERS) survey data in HRM research. While the WERS surveys contain much material of relevance to key debates in the HRM area, there is a prima facie case that there has not been as much WERS-based research in the HRM area as might have been consequently expected. This paper examines why this might be the case, and considers the prospects for the further use of WERS data by HRM researchers. While noting the limits of survey data to address key questions in the area, it suggests that there is a need for a programme of research that builds upon the valuable insights that can be obtained from WERS-based research by the complementary generation of more context-rich information via focused case studies and associated qualitative research.