Mengcheng Chen

TL;DR: The results show that the proposed algorithm can achieve better accuracy than existing RFID positioning approaches for equipment tracking and is robust to heterogeneity of RFID tags as well as direction between tag and reader.

TL;DR: This study aims to enhance the previously developed Open-Source Approach (OSA) by developing an enhanced Automatic Multipatch Generation (E-AMG) algorithm that is capable of transforming various types of 3D representation, such as clipping and mapped representation, to boundary representation (Brep).

TL;DR: Through a critical review of 485 articles, this paper investigates current data-driven bridge O&M decision-making in detail, including mainstream data types, issues related to data management, and typical application areas using these data.

TL;DR: The results show that the proposed approach can successfully automate the conversion of IFC clipping representation into the shapefile format; and increasing boundary size has no effect on the file size of unbounded half spaces, but slightly increases the producing time of half spaces and processing time of building components.

TL;DR: The CBRPMO contributes to the industry by extending the application of ontologies in the bridge sector to cover the rehabilitation stage, enhancing functions of conventional ontologies, and reducing information searching time compared to manual searching, which improves constraint management approaches by automating the information searching step.