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Discovery Early Career Researcher Award - Grant ID: DE230100451
Funder
Australian Research Council
Funding Amount
$435,232.00
Summary
Quantifying thermal environmental impact on office productivity. This project aims to quantify thermal environmental impacts on office productivity. It expects to firmly dismiss the prevailing misbelief that an indoor temperature of 22 °C leads to maximum workplace productivity, and create a paradigm shift in building management practice in commercial buildings. Expected outcomes of this project include a novel productivity metric, a standard measurement protocol for assessing thermal environmen ....Quantifying thermal environmental impact on office productivity. This project aims to quantify thermal environmental impacts on office productivity. It expects to firmly dismiss the prevailing misbelief that an indoor temperature of 22 °C leads to maximum workplace productivity, and create a paradigm shift in building management practice in commercial buildings. Expected outcomes of this project include a novel productivity metric, a standard measurement protocol for assessing thermal environmental impacts on office productivity, and world first indoor thermal environmental control guidelines tailored to diverse cognitive activities in the workplaces of different industries. This should provide cost-effective solutions to reduce building energy use while maintaining optimum workforce productivity.Read moreRead less
Sentient buildings. This project aims to unite outputs from the large and varied array of sensors deployed in buildings into a coherent whole. By coordinating detections of resources and personnel from multiple sensors, it intends to enable more efficient allocation of shared resources within a public site such as a hospital, and enable a more effective emergency response. It intends to also allow the building to adapt over time to the way it is used, or to changing conditions. This is expected ....Sentient buildings. This project aims to unite outputs from the large and varied array of sensors deployed in buildings into a coherent whole. By coordinating detections of resources and personnel from multiple sensors, it intends to enable more efficient allocation of shared resources within a public site such as a hospital, and enable a more effective emergency response. It intends to also allow the building to adapt over time to the way it is used, or to changing conditions. This is expected to benefit the Australian construction industry as well as building operators, giving them a valuable export commodity. It intends also to benefit inhabitants of the buildings by providing a more safe, secure and accommodating environment.Read moreRead less
Non-contact Integrity Assessment of Façade Panels of High-rise Buildings. Disintegration of the external façade (with tiles, plates, etc.) of high-rise buildings presents a great challenge and a threat to community. This project develops fundamental knowledge and algorithms that underpin the deployment of a new technique for fast and automated quantitative integrity assessment of façade units of high-rise buildings, integrating mechanisms of directional acoustic waves, vibro-acoustics of façade ....Non-contact Integrity Assessment of Façade Panels of High-rise Buildings. Disintegration of the external façade (with tiles, plates, etc.) of high-rise buildings presents a great challenge and a threat to community. This project develops fundamental knowledge and algorithms that underpin the deployment of a new technique for fast and automated quantitative integrity assessment of façade units of high-rise buildings, integrating mechanisms of directional acoustic waves, vibro-acoustics of façade tiles or panels, laser sensing technology, deep learning algorithms and drone technology. Outcomes of this project are critical for implementing the new technology for enhanced safety to community and the development of new procedures for driving down maintenance costs of the external façade of high-rise buildings.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130100885
Funder
Australian Research Council
Funding Amount
$374,723.00
Summary
Aerial robots contacting objects in dynamic environments. This project will allow small unmanned aerial vehicles to touch objects to perform tasks and to fly confidently in complex and cluttered environments where contact with surroundings is inevitable. This will enable robots to perform critical tasks such as servicing power lines, bridges and other elevated infrastructure.
Innovative tools to improve station design and management of crowds in emergency and panic conditions. This project aims to understand how crowds behave in panic and emergency situations in order to plan evacuation procedures and create the safest designs for our major infrastructures such as large public transport hubs and urban environment.
Making Australia resilient to airborne infection transmission. The COVID-19 pandemic demonstrated that basic questions regarding how to minimise the risk of airborne infection transmission for any respiratory viruses remain unanswered, despite their frequency and huge social and economic costs. Therefore, this project aims to expand scientific knowledge and develop practical tools to improve the resilience of Australian indoor environments against airborne transmission of respiratory viruses. T ....Making Australia resilient to airborne infection transmission. The COVID-19 pandemic demonstrated that basic questions regarding how to minimise the risk of airborne infection transmission for any respiratory viruses remain unanswered, despite their frequency and huge social and economic costs. Therefore, this project aims to expand scientific knowledge and develop practical tools to improve the resilience of Australian indoor environments against airborne transmission of respiratory viruses. The outcomes of the project conducted by a multidisciplinary international team of collaborators will include: (i) quantitative knowledge on virus-laden aerosols from human expiration; and (ii) exposure and infection risk models and their application to typical indoor building and transport scenarios.Read moreRead less
A high-speed light-weight embedded vision system for robotics and computer vision applications. Eyesight is the strongest sense for humans and much of the brain is dedicated to vision processing. This project aims to develop an analogous vision capability for small, dynamic robots: a small, light, camera that preprocesses the raw video data to provide higher level information to the robot.