Combinatorial optimisation tools are pervasive through modern life, including route planning in online maps, flight scheduling, load balancing, and logistics planning. This project will explore how such tools can be interacted with to enable a user to intuitively understand their reasoning processes.
Combinatorial optimisation tools are pervasive through modern life, including route planning in online maps, flight scheduling, load balancing, and logistics planning. This project will explore how such tools can be designed so that their outputs align with a user’s expectations and preferences.
New Model – to create an efficient algorithm for calculating the electrical performance of buried and above-ground earthing systems for time-harmonic and transient fault conditions.
Develop software algorithms for calculating current ratings of electrical power cables installed in multiple duct banks and multiple backfills also in multiple casings.
This independent research of the current and historic literature and expert elicitation interviews with Traditional Owners and subject experts will advise Bush Heritage on the specific elements, species interactions and ecosystem processes that define pristine condition for our conservation and cultural targets. Once described these reference states will be used within Bush Heritage to report the impact of our management and will likely also have national relevance and be publishable.
The outcome of the project would be a proof of concept fetal monitoring system which is capable of real-time signal processing, data Modelling and data analysis of electronic signals from a novel fetal monitoring device sensor which has been developed by VitalTrace.
Veris is seeking to develop its capability to seamlessly integrate its survey and spatial data into the digital engineering process within large infrastructure projects. This project seeks to improve the efficiency of complex data and information flow within digital engineering processes associated with the construction of large infrastructure projects.
3D visualisations of new urban precincts are critical to community engagement, expediting planning approvals engaging potential buyers and managing risk. However, 3D visualisations can be expensive and time consuming to generate from 2D plans. This project seeks to cost-effectively, expedite this process by building an AI-based algorithm which will use a basic housing code, elevation model, 2D planning design and selected user-defined parameters to quickly create basic 3D visualisations of potential precinct designs. This will enable landowners, developers and experts to cost-effectively assess planning options whilst visualising them in 3D.
Veris is seeking to further develop its capability to provide useful insights from its 3D spatial data captured from vessels using multibeam echo sounders. This project will be aimed at developing deep learning algorithms to reliably identify 3D objects underwater such as logs, rocks, tyres, pipelines, and human-made objects under the water.