TABLE 1: WOllongong TEAMS
TEAM NAME LEAD INSTITUTE SCI-TECH PROPOSITION
SoundTrack University of Wollongong
Rail tracks need to be inspected regularly to avoid derailments. Current inspection methods are expensive and low-efficient. We proposed an AI sound-inspection system to localise track flaws by analysing the wheel/track interaction sounds. This is a more efficient, cost-effective and reliable track-inspection method for the railway industry. Eventually, it will revolutionise the railway industry and help to build a smarter and safer infrastructure for the future.
ASAP- an Automated System for Assembly Planning University of Wollongong
Australia is in critical need of automation to boost productivity and the manufacturing industry is of interest due to its susceptibility to automation. Time and labour expenses account for about 20-50 per cent of the production cost, meaning automating assembly process promises high returns.However, automating this process requires an efficient assembly plan, which is usually developed by skilled engineers. Our solution, an Automated System for Assembly Planning, can automate and thus reduce the cost of assembly planning, making automation more accessible to small and medium companies. Widespread automation is expected to step up the performance of manufacturing industry and those it serves.
Energy from MSW University of Wollongong
To solve the problem, a novel and commercially feasible technology will be developed by which energy can be recovered from the biomass in the municipal solid waste (MSW). The conceptual process will include generation of a fuel gas from MSW (supplemented by green waste) via drying/pyrolysis - gasification - combustion processes to be completed in a single equipment/plant. A special design will be invented by which the residual carbon after pyrolysis and gasification of the biomass in MSW is combusted to generate heat, which is then used for gasification and pyrolysis processes. The fuel gas can be used for power generation using gas turbines/engines.
Ibalance University of Wollongong
Our fall risk assessment device (Ibalance) helps older people who want to live a healthy independent life by measuring their balance and diagnosing their risk of falling, unlike fall detection devices that detect falls once they happen. Ibalance is a wearable device, capable of real-time, quantitative fall risk and balance assessment. The wearable device will be paired with a mobile application for set up, and data logging. We are mainly seeking for marketing and commercialisation skills and suitable platforms to approach stakeholders.
Emergent neural systems University of Wollongong
Typically, neural function is investigated by growing single cells in culture and analysing their behaviour after exposure to different drug treatments. However, the brain is a highly complex tissue containing numerous cell types and structures. This results in ‘emergent’ properties that arise when collections of cells interact and generate behaviours that are very different from the behaviour of any individual cell. This research is developing more advanced tissue models to obtain a greater understanding of neurodegenerative diseases and to better replicate human tissue on the bench.
Team GOLD (Gerontological Older Leadership Dream) University of Wollongong
The number of people over 65 years of age will double by 2054. Submissions to the current Royal Commission into Aged Care confirm that lack of skills in advanced nursing practices is a huge problem in the aged care sector. Our team have developed an evidence-based Gerontological Nursing Competency (GNC) Framework that structures the professional development of gerontological nurses. Our team want to build a business model to ensure that the GNC Framework is implemented to ensure high quality specialist gerontological care is provided to all older people and their family carers.
VIVA University of Wollongong
The Versatile Intelligent Video Analytics platform is based on a smart camera for monitoring in real time traffic flows of pedestrians and vehicles. It leverages the existing CCTV network and addresses its cost by creating new usages while respecting the privacy regulations. The core of the platform relies on computer vision algorithm and state of the art artificial intelligence technique. Hence VIVA can easily be applied to new problems in indoors and outdoors environments. Being versatile, it can be deployed in sensors, servers and cloud instances. The solution can be of interest for every Council and organisation owing a CCTV network.
Compact Fission Reactor for Space Missions ANSTO The project is to develop a space-based nuclear fission reactor capable of producing 1 MWe for the entirety of a mission spanning years. It will be able to safely and reliably operate in the vacuum of space, and the atmospheres of Mars and the moons of Jupiter and Saturn.
Green Concrete with Plastic Waste University of Wollongong
The record government infrastructure investment and the population growth are expected to push up the demand for concrete by 19 per cent over the next four years. Accordingly, the need for river sand has incredibly increased. Meanwhile, Australia is facing waste crisis due to the ban for recyclables from Australia, where the average yearly plastic consumption is 130 kg/person, only 12 per cent of which is recycled. The plastic stockpile has become an environmental-financial challenge. Our solution is to develop a novel green concrete with the direct use of waste plastic particles to resolve the two urgent issues. The new concrete has better properties.

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