DCU Expo 2024 - Final Year Projects

51 63. Control Models forWastewater Treatment Plants This project explores control models for wastewater treatment plants utilising Biowin software. It explores optimising processes through dynamic simulation and control strategies. By leveraging Biowin’s capabilities, the project investigates various parameters and algorithms to enhance efficiency and performance within wastewater treatment systems. The research aims to improve understanding andmanagement of complex biological processes, ultimately contributing tomore effective wastewater treatment practices. Student Programme Mechatronic Engineering (Year 5) Project Area Control Systems, Water Treatment Project Technology Biowin Student Name(s) Eugene Prodanchuk Email eugene.prodanchuk2@gmail.com Supervisor Dr Lorna Fitzsimons 64. Automation of a Clauss (Fibrinogen) Assay on a Lab-on-a-Disc Device This project investigates the automation of a Clauss Assay on amicrofluidic Lab-on-a-Disc (LoaD) to provide amore efficient means of point-of-care testing (POCT) for individuals with clotting disorders. The assay measures the ability of fibrinogen to forma fibrin clot after being exposed to a concentration of purified thrombin in an optimal temperature environment (37 degrees Celsius). It is incorporated into a LoaD, which is compatible with whole blood testing. The LoaDwas designed on SOLIDWORKS and assembled using laser-cut PMMA and precision-cut PSA layers. Analysis of the assay was conducted using a spin stand developed on SOLIDWORKS along with a circuit/Arduino Uno to control temperature levels and a high-resolution camera tomonitor the assay’s reaction time fromabove. Student Programme Biomedical Engineering (Year 4) Project Area 3-DModelling, AdditiveManufacturing, Arduino, Automation, Biomedical Engineering, Circuit Modeling, Computer Vision, Device Design, FluidMechanics, Mechanical Design andManufacture, Power Electronics, Sensor Technology, Wireless Technology Project Technology C/C++, LabVIEW, Solidworks, Microfluidics Student Name(s) TomGriffith Email tom.griffith9@mail.dcu.ie Supervisor Dr David Kinahan 65. Playbook Pal Playbook Pal is a set of experiments and investigations designed to forecast outcomes of baseball games by analysing historical datasets through machine learning techniques. The model leverages years of major league baseball data, identifying trends and patterns to accurately predict the winners. Employing techniques such as data collection, cleaning, feature engineering, and various machine learning algorithms, it achieves a nuanced understanding of game dynamics. Continuous refinement, validation, and testing ensure its predictive reliability and robustness. By integrating advanced analytics into sports prediction, Playbook Pal emerges as an innovative tool, revolutionising the way fans, teams, and analysts approach the game of baseball. Student Programme Computer Applications Project Area Artificial Intelligence, Data Analytics, DataMining, Project Technology Excel/VB, Python, Machine Learning Student Name(s) Fionn Gallahar Hall  |  Katie Anne Connolly Howlett Email fionn.gallaharhall2@mail.dcu.ie   |   katie.connollyhowlett36@mail.dcu.ie Supervisor Prof Mark Roantree