2024 - KKHTCNN Symposium: Implementation of Distributed Acoustic Sensing (DAS) in Indoor Occupant Tracking
Conference, KKHTCNN, Shanghai, China
Conference, KKHTCNN, Shanghai, China
Conference, International Conference on Construction Applications of Virtual Reality (CONVR), NSW, Australia
Optimizing building design is essential for enhancing indoor environment efficiency, safety, and comfort. This process requires understanding the relationship between occupants’ movements and key building features, influenced by spatial layout, accessibility, and amenity placement….
Conference, International Symposium on Automation and Robotics in Construction (ISARC), Lille, France
As machinery assumes a critical role in modern construction, particularly in Singapore’s development initiatives, maintaining excavators becomes paramount. …
Conference, ASCE International Conference on Computing in Civil Engineering (i3CE), Corvallis, Oregon, USA
During the COVID-19 pandemic, engineering control emerged as an efficient method for isolating people from hazards through physical or mechanical means. …
Conference, International Conference on Construction Applications of Virtual Reality (CONVR), Seoul, South Korea
The 2D floorplan can provide lots of useful information such as geometric information related to the design of spaces and text information related to the annotations. …
Seminar, National University of Singapore, Singapore
This study proposes a method using reusable conceptual graph (CG) patterns to reduce knowledge loss and improve the consistency, quality, and efficiency of knowledge transfer in building code compliance checking….
Conference, ASCE International Conference on Computing in Civil Engineering (i3CE), Orlando, Florida, USA
Conceptual graph (CG) is a graph representation of logic derived from semantic knowledge. In the rule interpretation process in automated compliance checking (ACC), the quality of knowledge exchange between rule experts and rule implementers is difficult to ensure. …
Talk, National University of Singapore, Singapore
This study proposes a machine learning method to recognize occupants’ footsteps using Distributed Acoustic Sensing (DAS) for large-scale indoor environments….