DCU Expo 2024 - Final Year Projects

39 27. Anomaly Detection in CNCManufacturing CNC (Computer Numerical Control) refers to the usage of computer-controlledmachines to transforma solidmaterial into another shape. These machines have become integral components in both small-scale manufacturing operations and large industrial settings, with prices ranging fromapproximately $1,000 up to $500,000. Hence, effective maintenance of these machines is crucial, particularly in smaller companies. In collaboration with Stoney CNC, this project aims to design data-based solutions for detecting and predicting anomalies in machine behaviour usingmachine learningmethods. By designing these systems for predictive maintenance, problems can be detected before amajor failure occurs, and parts can be replaced, saving time, effort, and costs. Student Programme Data Science Project Area AdvancedMaterial Engineering, Artificial Intelligence, Automation, Data Analytics, Sensor Data Project Technology Python, R, Machine Learning Student Name(s) Jakub Pakula  |  Leon Oska Email jakub.pakula2@mail.dcu.ie   |   leon.oska2@mail.dcu.ie Supervisor Dr Suzanne Little 28. A Lab Scale Analysis of a Bubble Curtain for CapturingMicroplastics This project aims to create a lab-scale model of a functioning bubble curtain designed to catch microplastics in a water body due to the increase of microplastic pollution in aquatic environments. The bubble curtain, consisting of an air stone bar bubble diffuser emitting a curtain of air bubbles, is evaluated for its efficiency in capturingmicroplastic particles of varying sizes under controlled laboratory conditions. Experimental parameters, including air flow rate, water velocity and bubble diffuser angle placement, are varied to assess their impact on microplastic capture efficiency. Results demonstrate the efficiency of the bubble curtain in effectively trappingmicroplastics, with significant capture rates observed across a range of particle sizes. Student Programme Biomedical Engineering (Year 4) Project Area Device Design, FluidMechanics, Water Treatment Project Technology Excel/VB, Solidworks Student Name(s) Ivan Zha Email ivan.zha2@mail.dcu.ie Supervisor Dr CornéMuilwijk 29. SocialEyes SocialEyes is a user-centric mobile application that enables social event planning andmanagement. It empowers users to effortlessly create, discover, and attend events with friends. The app prioritises user convenience and intelligent data-driven scheduling. Users can create, schedule, and explore various social gatherings, with data-driven suggestions optimising event times. Integrated features include an AI chatbot serving as a travel guide, Ticketmaster API for event/concert data retrieval, GoogleMaps API for event directions, and In-appmessaging to enhance the comprehensive user experience. SocialEyes seamlessly integrates cutting-edge technology with user-friendly features to redefine social event engagement. Student Programme Computer Applications Project Area Android, Artificial Intelligence, Cloud Computing, Databases, Instant Messaging, Mobile App, Social Networking, Software Development, Recommender System Project Technology Flutter, Firebase, GPT API, Google API, Ticketmaster API Student Name(s) Paul McKee  |  Peadar McHenry Email paul.mckee4@mail.dcu.ie  |   peadar.mchenry2@mail.dcu.ie Supervisor Dr Tai TanMai