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Xiao Juan Li

Bio: Xiao Juan Li is an academic researcher. The author has contributed to research in topics: Project management & Project management triangle. The author has an hindex of 1, co-authored 1 publications receiving 2 citations.

Papers
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Journal ArticleDOI
TL;DR: It is pointed out that highly developed network of information technology can realize monitoring important parts and process of project in the video and have a profound impact on promoting the construction of process standardization and improving the quality of the project.
Abstract: This paper introduces an integral part of engineering information management and information management system development and applications in engineering project. It points out that highly developed network of information technology can realize monitoring important parts and process of project in the video. Information management system copies with complex information to identify and summarize the different categories then issues for works to provide accurate and timely information to achieve objectives of project management. It will also have a profound impact on promoting the construction of process standardization and improving the quality of the project.

2 citations


Cited by
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TL;DR: Wang et al. as discussed by the authors developed an evaluation system for technology innovation capability in prefabricated construction at the enterprise level and scientifically quantified all the evaluation indexes, including total input, technology output (TO), and project output.
Abstract: Purpose This study aims to evaluate enterprise technology innovation capability in prefabricated construction (PC) from an input-output perspective, using six integrated enterprises in China as cases. Design/methodology/approach An evaluation system for enterprise technology innovation capability in PC was constructed, including total input, technology output (TO) and project output. All the evaluation indexes were quantified, and the subject and object indexes weights were determined using the fuzzy cognitive map and information entropy, respectively. The final scores and ranks were evaluated through gray relational analysis (GRA) based on the combined weights. Findings It was found that enterprise technology innovation capability in PC was low in China, with its unbalanced development in different dimensions and the poorest performance in TO, currently. Originality/value This research has developed an evaluation system for technology innovation capability in PC at the enterprise level and scientifically quantified all the indexes, which is a breakthrough over existing studies. The GRA model based on the combined weights proposed in this study can be applied to other comparable fields and regions, with its easy operation.

4 citations

Journal Article
TL;DR: This research uses Matlab to write neural network programs and processes extraction samples, processing samples and predictive value of output automated and intelligent in construction project cost management and concludes that the estimate should take samples from the amount of cost value approximately equal in construction cost.
Abstract: This research uses Matlab to write neural network programs and processes extraction samples, processing samples and predictive value of output automated and intelligent in construction project cost management. It focuses on the grey RBF neural network applied in estimating construction project cost, and use the actual construction work and civil engineering to validate and evaluate the program. By analyzing error, it is concluded that the estimate should take samples from the amount of cost value approximately equal in construction cost. In other words, the higher value project should take the same number as lower value project. It is good to use computer software for construction cost management, It’s easier to extract samples of buildings, extract and eliminate features, normalize and denormalize samples, input sample and output prediction. Then we can get the prediction of construction cost value. This makes building engineering cost management more automated. It makes actual managers can focus on actual projects rather than the specific details of the operation

2 citations