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Abstract

Mutual information is a measure for investigating the dependence between two random variables. The copula based estimation of mutual information reduces the complexity because it is depend only on the copula density. We propose two estimators and discuss the asymptotic properties. To compare the performance of the estimators a simulation study is carried out. The methods are illustrated using real data sets.  相似文献   
2.
Abstract

While mechanization has been widely adopted in the current construction industry, little research has been done to assess the level of mechanization in building construction projects. The aims of this study are to propose a framework that can assess the level of mechanization in building construction projects, to develop a computer-based tool that can help assess mechanization levels, and to collect the views of industry practitioners regarding mechanization. To achieve these goals, a comprehensive literature review was conducted first, and based on which a six-layer assessment framework, namely Mechanization Index for Building Construction Projects, was proposed. After that, Mechanization Index Assessment Tool, a computer-based tool that can assess the level of mechanization in building construction projects, was developed. The developed tool was adopted in 14 construction projects in Singapore. Assessment results showed that the mechanization level of the projects was 48.54 percent out of 100, which is moderate. Results also reported that ‘site preparation’ and ‘underground piping’ were two work types that are more mechanized, while work types of ‘formwork’, ‘tiling’, and ‘painting’ were relatively less mechanized. Additionally, industry practitioners perceived that the mechanization levels in the current building construction projects and industry were moderate and more efforts should be put in this regard, especially from the perspective of the industry. This study is the first piece of research work that assesses the level of mechanization in building construction projects and thus, it contributes to the body of knowledge. Furthermore, the assessment tool developed can easily be used either by industry practitioners or by construction authorities to do mechanization assessment. Thus, this study contributes to the practice as well.  相似文献   
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