scispace - formally typeset
P

Peng Wang

Researcher at Curtin University

Publications -  5
Citations -  546

Peng Wang is an academic researcher from Curtin University. The author has contributed to research in topics: Shapefile & Virtual reality. The author has an hindex of 4, co-authored 5 publications receiving 299 citations. Previous affiliations of Peng Wang include Southwest University.

Papers
More filters
Journal ArticleDOI

A critical review of the use of virtual reality in construction engineering education and training

TL;DR: It is found that the VR technologies adopted for CEET evolve over time, from desktop-based VR, immersive VR, 3D game- based VR, to Building Information Modelling (BIM)-enabled VR.
Journal ArticleDOI

Integration of BIM and GIS: Geometry from IFC to shapefile using open-source technology

TL;DR: An Open-Source Approach (OSA) is proposed, in which the geometric information in IFC is retrieved through the spatial structure of IFC, and converted into shapefile by developing an automatic multipatch generation algorithm (AMG).
Journal ArticleDOI

Adopting lean thinking in virtual reality-based personalized operation training using value stream mapping

TL;DR: This study investigates how value stream mapping, as a lean tool, can be applied to help improve operation training performances through an immersive virtual reality (VR)-based personalized training program and demonstrates that integrating lean thinking into the operation training process can be a more effective approach.
Journal ArticleDOI

Developing optimal scaffolding erection through the integration of lean and work posture analysis

TL;DR: The distinct difference between lean attributes and health and safety attributes is revealed through a quantitative assessment and is more readily to be implemented at the site level for simultaneous improvement in lean and healthand safety.
Proceedings ArticleDOI

An Assessment of Paths for Transforming IFC to Shapefile for Integration of BIM and GIS

TL;DR: Direct transformation from IFC to shapefile retained the most geometry and semantic information, and 3DS, VRML, or SKP could be used as alternatives to retain most of the information, while DWG, DXF, KML, and KMZ should not be considered due to their poor performance in the test.