ITS Capstone Project Expo
A celebration of student achievements and industry partnerships
The ITS Capstone Project Expo provides an opportunity for the Canberra community and the broader University of Canberra (UC) community to observe the excellent project work that UC ITS students have undertaken over the semester, showcasing partnerships with industry and research.
Semester 1 2022
Finalists for the 2022 Capstone Project Expo are the following projects.
Ethical Impacts of AI generated images using StyleGAN 2.
Elderly fall detection using pose estimation.
Nandana Odayammadathu Malethu Veedu
CRL: multi-gait quadruped walking robot.
Quantum Computers Appraisal.
Bui Nguyen Huyen Vy
Meal Recording System at the Canberra Hospital.
1 percent weight loss program
Cyber Security Data Analytics.
Bridging IT skill gap among elderly population through new intervention design.
Development of software for Brainwave (EEG) data.
|Bridging digital inequality in education in post-COVID era.||Mutaz
Musaad I Althubyani|
(Kol) Baun |
|Design Behaviour Research to evaluate Virtual Reality and Mixed Reality Learning Environment||Liam
|Elderly fall detection using pose estimation||Parimala
Nandana Odayammadathu Malethu Veedu
|Bridging digital inequality in education in post-COVID era||Mutaz
Musaad I Althubyani|
|CRL: multi-gait quadruped walking robot||Dylan
|Assessing the impact of multimedia elements on fake news engagement||Jack
|Mobile Robot Technology and Autonomous Navigation||Mitchell
|Domain Cybersecurity Trustworthy Rating||Petar
Sahdev Kishorkumar Patel
Ethical Impacts of AI generated images using StyleGAN 2
|Cyber Security Data Analytics||Caleb
|What Do You Mean – spam, scam, phish, ransomware, and cyberattacks?||Amasha
Thomas McLeod Krklec
|Automated Robotic Coffee Barista||Sammuel
|Cyber activities on display – what is going on by Nagios Core||Ravishankar
|Diet, Nutrition, and the Contributing Factors to Human Biological Ages||Alina
Semester 2 2021
Watch the Semester 2 2021 Capstone Project Expo below.
Below are the top groups from the Semester 2, 2021 cohort. Not all groups submitted work for each category, but please find below the full list of groups and what category/categories they have submitted for. Click on the poster images to view it as a PDF.
|Group 9785-01||Capstone Project Management System||Demonstration|
|Group 9785-02||University Social Network||Demonstration|
|Group 9785-03||UC Capstone Project Management System|
JOINT WINNER of the Best Demonstration Category
|Demonstration, Poster, Presentation|
|Group 9785-04||Math Immersion||Demonstration, Poster, Presentation|
|Group 9785-10||KDManage Ecology Interface Update||Demonstration|
|Group 9785-11||EduHelp||Demonstration, Poster|
|Group 9785-13||KDManage Ecology Interface Update||Poster|
|Group 9785-15||Catholic Education Case Management System||Poster, Presentation|
|Group 9785-19||Project Artemis||Poster|
|Group 9785-26||Sensory Manipulation Effect on Human Balance||Presentation|
|Group 9785-31||Digital Toolkit||Demonstration, Poster, Presentation|
|Group 9785-32||Professional Website Development of 20mrun.com||Poster|
|Group 10004/5-01||Improvements to Land Tax Detection||Presentation|
|Group 10004/5-02||Mimicking IT Infrastructure Using Raspberry Pi 400 Demonstration||Demonstration, Presentation|
|Group 10004/5-03||Fake News Engagement in Multimedia Elements||Demonstration|
|Group 10004/5-05||Exploration of the use of wearable devices to prevent and detect falls and monitor gait using open-source SDKs|
WINNER of the Best Poster and Best Presentation categories
|Group 11522-01||Purpose Built Mobile App||Demonstration|
|Group 11522-10||Automated Meal Recording System|
JOINT WINNER of the Best Demonstration Category
|Group 11522-15||Impact of Technology on Quality of lives of Older Australians||Poster|
|Group 11522-18||Green IT Strategy and Innovation for University of Canberra||Presentation|
|Group 11522-23||Time Series Analytics and Its Applications||Poster|
Group 9785-01: Capstone Project Management System
The Capstone Project Management System is a prototype web application developed for students, UC academic and administrative staff, and industry sponsors. It includes functionality for the public to view past Capstone projects, allow for submission of project proposals from industry sponsors, allow students and staff to log in and be authorized with their UC credentials, form groups, express interest in available projects, and be allocated projects as appropriate. Separately, a machine learning algorithm was developed and tested to provide recommendations on the suitability of allocating a given project to a given group, based on parameters such as skills and preferences.
Group 9785-02: University Social Network
University Social Network (USN) is an online-social platform which is specially designed for university students. Unlike other social media, USN focuses on improving the efficiency and inclusiveness in communications among university participants. Our platform improves student’s university-life experience in many ways. To build this platform, we have used technologies such as MERN-Stack, and project management tools like GitHub and Trello.
As a social media platform, USN benefits not only students but also universities. It gives them more exposure and creates a friendly community as well as helps students find other students for group work, study tricks and share knowledge.
Let USN make your uni-life better!
Group 9785-03: UC Capstone Project Management System
Joint Winner of the Best Demonstration category
The UC Capstone Project Management System (UCCPMS) was developed in response to the University of Canberra’s need to streamline the administrative processes associated with the ICT Capstone Project units and to create an archive of past student projects.
The UCCPMS improves the current processes by digitising form submissions and centralising key information and functions to personalised user dashboards. The system will also act as a public repository to showcase all student projects. The user interface is user-friendly, accessible, and intuitive. The robust backend architecture allows the system to be easily maintained and extended. We hope that our website will make future iterations of the Capstone Unit much smoother for students and staff.
Group 9785-04: Math Immersion
Our project, Math Immersion, was centred around creating the unity educational application, Jurassic World of Maths. Built around the fundamental mathematical function’s: addition, subtraction, multiplication, division. Research found that 40% of students are disengaging at school and 53% are uninterested in mathematics. From this foundation the application was developed including a home-screen, operations-screen, arithmetic functions, tally-system, back button, help button and animated dinosaurs. The evaluators found the application immersive, innovative, interactive and visually engaging, helping combat the current student disengagement and unproductivity. The findings show the application is ready for target audience testing before it can start making a difference.
Group 9785-10: KDManage Ecology Interface Update
The KDManage Ecology Interface Update introduced a user interface facelift of an existing web system. The update aimed to streamline and modernise the system’s experience through simple and reactive visuals, accompanied by accessibility elements to aid the user’s familiarity with the system. Hints and base geographical mapping elements were introduced as foundations for future iterations on such technologies to improve user accessibility and productive use of KDManage’s ecology-specific elements. The system’s layout accompanies various device screen sizes for desktop or mobile use. Deliverables included the web system itself, a project proposal, a poster and presentation summarising the project and a report finalising the project.
Van Cin Thi Hlum
Group 9785-11: EduHelp
EduHelp is a virtual Education Agent web application created by a previous capstone team which allows both international and domestic students to find suitable courses based on their interests and academic qualifications.
Our project objectives included creating a student application process and a university application approval system whilst improving the overall User Interface.
These functionalities allow prospective students to apply for courses directly through EduHelp, student applications can be compared, amongst the candidates and universities can make the decision to either approve or deny a student’s application.
Zan Tha Kyaw Nyun
Tung Le Ho
Group 9785-13: KDManage Ecology Interface Update
KDManage is a software developed by the KDDart platform from Diversity Arrays Technology. It can connect to the KDDart database by using a browser without installing any special software. This project’s main focus is to improve user interfaces of KDManage so that scientist can use more ecological function to keep data from static and moving creatures. Better user experience and adaptation to new research requirement are also two big achievements based on the project requirements. At the end of the project, several future potential developments have also been explored and recommended.
Group 9785-15: Catholic Education Case Management System
The aim of our project was to develop a proof of concept for a new case management system for the Catholic Education Archdiocese of Canberra and Goulburn. The organisation currently lacks a well-designed system that allows different sections to collaborate. The two most important components of this proof of concept were an Entity Relationship Diagram, and our storyboard screen designs. The ERD demonstrates a high-level view of the most important entities within the system and relationships and attributes they would possess. The storyboards exhibit layouts of some important screens within the system, and the components the users would need to be able to interact with.
Group 9785-19: Project Artemis
Project Artemis’ aim is to contribute to the development of wearable fall detection technology. Falls represent a serious risk to elderly people, which can be mitigated through use of such technology and fall-detection algorithms. In developing such an algorithm, the primary need is to differentiate between falls and daily activities. Project Artemis uses a Neural Decision Tree through the Keras Deep Learning API to identify falls within the simulated dataset to 100% training and validation accuracy. Further testing indicated that problematic and over-simulated datasets are a significant issue in the development of accurate fall detection software. This poster outlines the background, methodology, materials, and results of project Artemis, as well as a recommendation.
Group 9785-26: Sensory Manipulation Effect on Human Balance
Plenty of research has been conducted over the years about human balance and its motor systems. These research gave insights into the complex balance between the body, the nervous system and the brain. Using fNIRS, we can reveal what sections of the brain are activated during experiments. There are few studies about balance and the use of virtual reality, which is an avenue we pursued to advance. From those few research it is revealed, cognition plays a large role and VR research may hold much promise. We hope this research becomes a foundation for future projects about balance and VR.
Group 9785-31: Digital Toolkit
The Department of Health does not have a centralized area that informs design executions across their products. If a customer wants advice on how to build a web service from platforms through to content, there is currently no single source of information that they can be pointed to.
To solve this problem, we created a platform-agnostic webservice that is consistent in advice and can provide a centralised resource of usable standards, components, patterns, guides, and templates to prevent duplication and fragmentation of information we call it a 'Digital Toolkit'.
Group 9785-32: Professional Website Development of 20mrun.com
The nature of this project was to create a platform where users can participate in a fitness challenge, enter their results and rank themselves amongst others. The project was initiated by the client’s request to improve his current website (20mrun.com) to look more professional and modern so that the users can easily navigate and store their data.
Through collaboration and a close relationship with the client, the team was able to achieve the set outcomes beyond the client’s expectations with a “crisp, airy and functional site designed with elegant simplicity" (John Miller, 2021). With web analytics provided by the software used, the team and watched the website grow and prosper just days after its final release.
Group 10004/5-01: Improvements to Land Tax Detection
As boarder/lodger arrangements are not liable to land tax, the Business Intelligence Unit at the ACT Revenue office proposed the problem of distinguishing between entire property rentals and the properties that have a boarder/lodger arrangement in place. We determined that it is possible to accurately predict when a rental property is a boarder/ rental lodgement using machine learning algorithms. Many of the features in the dataset seemed to have a significant impact on LandtaxFlg. Detection of non-compliant individuals should be possible by applying the methods used and manually cross checking to verify that the property owner’s tax obligations are being met.
Group 10004/5-02: Mimicking IT Infrastructure Using Raspberry Pi 400 Demonstration
The team researched, implemented, and reported on four security systems tested on the JARB infrastructure created last semester using two of the low cost Raspberry Pi 400s.
These security systems were: firewalls, vulnerability scanners, intrusion detection systems and penetration testing frameworks.
After implementing each security system the process was documented as a guide for future students in classes taught by project sponsor Dr Wanli Ma.
The low cost nature of the Raspberry Pi 400 paired with the detailed implementation guide created by the group will enable any individual to learn cyber-security without requiring access to expensive and bulky network infrastructure.
Raavin Ashwath Sundar Rajan
Group 10004/5-03: Fake News Engagement in Multimedia Elements
Our project extended standard surveying techniques. In addition to standard survey response data, the survey we developed also gathered mouse movement, and eye movement data. The team built a solution from the bottom-up, as standard solutions did not allow for this kind of data to be collected. While the team applied the solution in the context of interactions with fake news, the team is confident the technology could be easily applied across several fields, such as tertiary research, psychology studies, and even in marketing analysis. The solution developed does not require any specialised hardware and can run on a wide range of devices.
Group 10004/5-05: Exploration of the use of wearable devices to prevent and detect falls and monitor gait using open-source SDKs
Winner of both the Best Poster and Best Presentation categories
Throughout the last century the amount of elderly living alone with minimal support from family members and carers is ever growing. The possibility of falling while alone is causing an increased concern/fear among the elderly and their loved ones. This research has explored the use of wearable devices to prevent and detect falls as well as monitor an individuals’ gait – “a person's manner of walking”. We have successfully identified factors causing a fall, applied feature extraction on gait metrics and applied machine learning algorithms on public fall detection datasets to detect falls. We aim to bring back independence and help the elderly live free from injuries caused by falls that may impede their everyday life.
Nandana Odayammadathu Malethu Veedu
Group 11522-01: Purpose Built Mobile App
As per the study conducted by Albatross Governance Pty Ltd (AGPL), the number of people not being able to work reliable working hours is increasing in Australia. This increasing trend is due to factors such as mental, circumstantial and physical health challenges of differently abled people. AGPL saw an urgent need to support these people by providing a platform (mobile application) that helps connect them to different organisations that have jobs suited for them as well as to help social workers in this process. This resulted in Albatross Governance collaborating with UC to produce a Proof-of-Concept mobile application.
Group 11522-10: Automated Meal Recording System
Joint Winner of the Best Demonstration category
The Canberra Hospital is dealing with delivering thousands of meals to their patients on a daily basis, with strict nutrition and dietary standards. And despite this enormous food responsibility, the whole process is still labor-intensive and manually conducted, which is occassionally inclined to human slips, lapses and mistakes.
Therefore, we are challenged to present an innovative solution. Our Automated Meal Recording System is cost and time-efficient, minimizes human error, and offers a better auditing process, increasing meal compliance and standardizing quality assurance.
Our Automated Meal Recording System's mission is to serve the right meal to the right patient every time.
Group 11522-15: Impact of Technology on Quality of lives of Older Australians
The Australian Federal Government set up a Royal Commission to look at the shortcomings of the Australian aged care sector. It made 148 recommendations for the improvement of the aged care system in Australia. This report is based on recommendations 35 and 36 of the Royal Commission. The report demonstrates innovative research, literature review analysis, secondary survey data, and review design based on the Arksey and O’ Malley, thus providing recommended technology (Alexa integrated with Fitbit) for the in-home aged care quality and safety. It is crucial to research and develop more and more technologies and products that help older people to have more resources and support to remain in their homes as they age.
Group 11522-18: Green IT Strategy and Innovation for University of Canberra
The world we now live in is heavily dependent on the Information Technology (IT) sector. IT industry accounts for more than 3% of the world's Green House Gases (GHG)emissions, and it will only grow exponentially in the future. Green IT is a practice of reducing the carbon footprint in the IT sector. This paper reviews the Green IT solutions and issues using a systematic literature review with rough estimates of the University of Canberra's carbon footprint and proposes a framework to reduce carbon emissions. It presents four main strategies: Procurement, E-waste Disposal, Reduction in Carbon emissions, and Socioeconomic attributes.
Sneha Rebeccah Koshy
Group 11522-23: Time Series Analytics and Its Applications
Automatic pain assessment tools are highly needed in the medical industry. Consequently, various techniques to implement an autonomous and effective pain assessment system have been developed over the years. In this work, a Convolutional Neural Network (CNN) architecture, and several machine learning models are proposed to perform pain intensity classification on multiple and binary class levels. The proposed CNN and machine learning models have been used on the BioVid Heat pain dataset aiming to compere these models performance, since both approaches has advantages and disadvantages that were analysed on this project. The machine learning models performed significantly better than the deep learning technique.