Design in Context: Augmented Reality Technology to Improve the Quality and Performance of Architecture. This project will develop tools and knowledge to assess and improve the environmental performance and visual impact of design proposals prior to construction. The design simulation technology proposed here will allow stakeholders to concurrently test socio-cultural and functional performance over time, will allow more informed decision making and make a significant contribution to the social, ....Design in Context: Augmented Reality Technology to Improve the Quality and Performance of Architecture. This project will develop tools and knowledge to assess and improve the environmental performance and visual impact of design proposals prior to construction. The design simulation technology proposed here will allow stakeholders to concurrently test socio-cultural and functional performance over time, will allow more informed decision making and make a significant contribution to the social, cultural and economic life of Australia. The augmented reality technology to be developed in this project also has significant potential for applications in other domains and industries such as landscape and parks management.Read moreRead less
Artificial Intelligence Based Deterioration Model for Development of Bridge Network Maintenance Strategy. The proposed AI-based methodology in conjunction with a Bridge Management System can tailor-make bridge deterioration models for a given bridge authority. The models so produced will enable effective BMS implementation which generates missing inspection records of past years, establishes optimal MR&R strategies and then reliably forecasts future bridge condition ratings. The methodology will ....Artificial Intelligence Based Deterioration Model for Development of Bridge Network Maintenance Strategy. The proposed AI-based methodology in conjunction with a Bridge Management System can tailor-make bridge deterioration models for a given bridge authority. The models so produced will enable effective BMS implementation which generates missing inspection records of past years, establishes optimal MR&R strategies and then reliably forecasts future bridge condition ratings. The methodology will be verified using available bridge datasets of QDMR and GCCC. The methodology is applicable to other bridge authorities throughout Australia and internationally to maintain ageing bridge stock. Read moreRead less