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Meng-Han Tsai

Researcher at National Taiwan University

Publications -  38
Citations -  1029

Meng-Han Tsai is an academic researcher from National Taiwan University. The author has contributed to research in topics: Building information modeling & Emergency management. The author has an hindex of 14, co-authored 36 publications receiving 752 citations. Previous affiliations of Meng-Han Tsai include National Taiwan University of Science and Technology.

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A review of rotorcraft Unmanned Aerial Vehicle (UAV) developments and applications in civil engineering

TL;DR: An overview of the state of UAV developments and their possible applications in civil engineering is given and the latest developments in technologies related to UAVs are reviewed, such as control theories, navigation methods, and image processing.
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On-Site Building Information Retrieval by Using Projection-Based Augmented Reality

TL;DR: A wearable device that can project the construction drawings and related information on the basis of the needs of the users is proposed to help engineers avoid carrying bulky construction drawings to the site, and to reduce the effort required in looking for the correct drawings to obtain the information they need.
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Developing critical success factors for the assessment of BIM technology adoption: part I. Methodology and survey

TL;DR: In this paper, an approach for developing critical success factors (CSFs) that can be further developed for assessment of BIM adoption at organizational level in the architecture, engineering, and construction (AEC) industry is presented.
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Game-based education for disaster prevention

TL;DR: A flood game to encourage players’ active learning by exploration and recognize game-initiated learning as an educational method with great potential in teaching disaster management is developed.
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A user-centered information and communication technology (ICT) tool to improve safety inspections

TL;DR: Evaluation results indicate the usefulness and practicality of the application and identify innovative uses not previously envisioned, and the developed tool allows consistent data collection that can eventually be used to aid the development of advanced safety and health data analysis techniques.